OpenAI unveils GPT-5.6, expands ChatGPT Ads, and explores enterprise AI adoption · 10 sources tracked
ByPulseAugur Editorial·[2689 sources]·
OpenAI has announced GPT-5.6, a new frontier intelligence model emphasizing increased intelligence per token, improved performance per dollar, and enhanced on-demand capabilities for complex tasks. This release follows OpenAI's broader strategy to expand AI access, as evidenced by ChatGPT Ads reaching a $1 billion annualized revenue run rate and its global expansion. The company is also exploring how enterprises are integrating agentic AI, with a focus on organizational design to keep pace with AI advancements and measuring AI ROI through a new scorecard.
AI
IMPACT
Sets a new benchmark for intelligence per token and cost-efficiency, potentially driving enterprise adoption and further competition in frontier model development.
RANK_REASON
OpenAI announced a new frontier model, GPT-5.6, with details on its capabilities and performance.
ChatGPT Ads reaches $1 billion in annualized revenue run rate and expands globally, supporting broader access to AI through free and affordable options.
OpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.
Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.
X — Google DeepMind
TIER_1English(EN)·GoogleDeepMind·
From proposing hypotheses to designing experiments, AI agents are starting to reshape scientific discovery. But the hardest part is testing these ideas in the real world.
Our essay explores the growing validation bottleneck and outlines four priorities for policymakers and https…
Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.
A new framework analyzes 921 occupations and 148 million U.S. jobs to identify which roles face automation risk, reorganization, growth, or minimal AI disruption.
<p>Short chart specifications are easy to write, but often produce uninspiring results. Flint is an open-source visualization language that offers a middle path, letting AI agents create expressive charts from compact, human-editable specifications.</p> <p>The post <a href="https…
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As th…
Import AI (Jack Clark)
TIER_1English(EN)·Jack Clark·
arXiv:2609.21841v1 Announce Type: new Abstract: Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable busi…
arXiv cs.AI
TIER_1English(EN)·Saki Imai, Mert \.Inan, Malihe Alikhani·
arXiv:2609.21117v1 Announce Type: cross Abstract: AI productivity is often measured by task completion time, economic value, or improvements in outcome quality. However, these measures usually treat collaboration as a black box where they capture what output was produced, but not…
arXiv:2609.20449v1 Announce Type: new Abstract: The economic value of inference depends on how capacity and task information are distributed across stages of AI production. We study these organizational margins using controlled workflow experiments on externally verified software…
arXiv:2609.20538v1 Announce Type: new Abstract: An AI evaluation can be perfectly reproducible and still support the wrong claim. This risk is acute in closed-loop systems: policy determines visited states, observable components, and which failures leave a measurable trace. We pr…
arXiv:2609.19644v1 Announce Type: new Abstract: Scientific discovery is defined by the ability to identify the boundaries of existing knowledge and venture into unexplored territory. The ultimate vision for AI in science is problem-driven autonomous research: given a fundamental …
arXiv:2609.18282v1 Announce Type: new Abstract: Large language models are increasingly used to generate and evaluate online content, yet it remains unclear whether the qualities they associate with higher engagement match what real users respond to. We study this question using 1…
arXiv cs.AI
TIER_1English(EN)·Robin Welsch, Michelle Rausch, Pascal Knierim, Thomas Kosch, Jochen Kuhn, Albrecht Schmidt, Daniela Fernandes·
arXiv:2609.16793v1 Announce Type: cross Abstract: People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participants (N=535) solved a 40-item battery of matrix reas…
arXiv cs.AI
TIER_1English(EN)·Gabriel Manso, Emma Fu, Neil Thompson·
arXiv:2609.16258v1 Announce Type: new Abstract: As artificial intelligence's capabilities improve, it is increasingly viewed as a general scientific method. But how true are these claims? Does AI outperform all techniques, or only some, and how is this changing? To assess the cla…
On a sweltering August evening in Silicon Valley, as the sun dropped and air conditioning loads spiked, Silicon Valley Power sent a signal to an AI factory to adjust its power consumption. Varun Sivaram was watching on Zoom with about forty others — his team at Emerald AI in thei…
arXiv:2609.15794v1 Announce Type: new Abstract: Clinical AI systems are evaluated with instruments built for research settings (reference-based similarity metrics and expert rubric panels) that measure resemblance to an artifact rather than reduction of a burden. We introduce Kno…
arXiv:2609.14500v1 Announce Type: new Abstract: AI scaling studies increasingly evaluate systems that combine a pretrained model with retrieval, search, verification, tools, and interaction. Yet a higher score under a larger budget does not by itself show where additional resourc…
arXiv:2609.12651v1 Announce Type: new Abstract: While Reinforcement Learning from Human Feedback (RLHF) is the standard paradigm for aligning large language models with human preferences, its effectiveness in pluralistic settings has been called into question. Notably, recent wor…
arXiv:2609.11115v1 Announce Type: new Abstract: Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and code, and understand the settings behind reported scores. We present Be…
arXiv:2609.11489v1 Announce Type: new Abstract: Cooperative AI agents are evaluated against other AIs, yet human cooperation relies on implicit conventions---shared protocols for reading meaning beyond the literal message---which AI-AI benchmarks may not capture. We propose the \…
This study compares framework suitability across three classes of enterprise generative AI applications: a documentation-based development assistant, an email and inquiry automation system, and an Oracle-to-PostgreSQL migration tool. The analysis evaluates component boundaries, o…
arXiv:2609.09789v1 Announce Type: cross Abstract: Organizational design in the era of artificial intelligence requires experimental methods that can test how human-AI groups coordinate, delegate, and make decisions. Programmable platforms coordinate live human-to-human sessions o…
arXiv:2609.10105v1 Announce Type: cross Abstract: Compute governance today is a governance of training: the thresholds, reporting requirements, and frontier-AI regimes now in force attach to training compute and treat the trained model as the regulatory unit. That picture is inco…
arXiv:2609.09627v1 Announce Type: new Abstract: Capabilities relevant to Physical AI can arise from materially different formation histories, yet existing taxonomies organized by morphology, architecture, learning algorithm, task, or domain do not directly answer what gives rise …
arXiv cs.LG
TIER_1English(EN)·Tejinder Singh, John Pflueger, Jeebak Mitra, Robert Lincourt, Mitchell Markow, Bhavesh A. Patel·
arXiv:2609.10550v1 Announce Type: cross Abstract: AI deployment performance is shaped not by model architecture alone, but by interactions among compression, compiler transformations, and serving policies. Published benchmarks often report latency and throughput under incomparabl…
Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and code, and understand the settings behind reported scores. We present Benchmark Radar, a living database and search engi…
Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and code, and understand the settings behind reported scores. We present Benchmark Radar, a living database and search engi…
arXiv cs.AI
TIER_1English(EN)·Alexander Crosier, Kyle Onghai, Ronnie Sircar·
arXiv:2609.08166v1 Announce Type: cross Abstract: The twenty-first century's transformative technology, artificial intelligence, is increasingly constrained by the twentieth century's transformative technology, the electricity grid. Rapid growth in electricity demand from data ce…
arXiv cs.CL
TIER_1English(EN)·Blake Stenstrom, Charangan Vasantharajan, Brian Sathianathan·
arXiv:2609.10494v1 Announce Type: new Abstract: Enterprises deploy systems, not checkpoints. Usable capability depends jointly on weights, serving route, precision, output contract, and harness, yet all 18 audited benchmarks score advertised model identifiers. We treat this as me…
arXiv:2609.06573v1 Announce Type: new Abstract: Recent studies report that automated red-teaming finds more vulnerabilities, at lower cost, than human red-teaming on standard AI safety benchmarks, and some read this as evidence that human evaluators are becoming dispensable. The …
Benchmark Radar is a searchable living database and discovery engine for AI evaluation benchmarks that aggregates sources, score histories, and evidence to support benchmark selection and comparison.
Enterprises deploy systems, not checkpoints. Usable capability depends jointly on weights, serving route, precision, output contract, and harness, yet all 18 audited benchmarks score advertised model identifiers. We treat this as measurement error and give a protocol that makes i…
Compute governance today is a governance of training: the thresholds, reporting requirements, and frontier-AI regimes now in force attach to training compute and treat the trained model as the regulatory unit. That picture is incomplete: capability increasingly migrates to the de…
arXiv cs.AI
TIER_1English(EN)·Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar, Liqun Cheng, Ming Liu, Parthasarathy Ranganathan, Mohammad Alizadeh, Fred Kjolstad, Suvinay Subramanian·
arXiv:2609.05364v1 Announce Type: cross Abstract: Machine-learning performance modeling is a uniquely hostile terrain for long-lived software: the assumptions baked into today's abstractions are invalidated by tomorrow's models and systems, forcing perpetual refactoring of perfor…
arXiv cs.AI
TIER_1English(EN)·T. Bauer, W. P. Kegelmeyer, E. Begoli, A. Sadovnik, T. Emerson, C. Corley, N. Generous, J. Moore, B. Bartoldson, R. Goldhan, M. Goldman, M. Greaves, M. J. D. Vermeer, B. MacLennan, D. Schulker, N. VanHoudnos, J. Bansemer, Y. Bengio·
arXiv:2609.03189v1 Announce Type: cross Abstract: This article presents a structured framework of behavioral indicators that may signal progression toward potentially catastrophic threats from artificial intelligence systems. We adopt a pragmatic approach, inspired by established…
arXiv:2609.03456v1 Announce Type: cross Abstract: Artificial intelligence (AI) is increasingly used to augment software engineering (SE) workflows. While code generation remains the main use case, organizations are actively seeking AI integration in other practices such as test c…
arXiv cs.AI
TIER_1English(EN)·Phoenix Perry, George Simms, Elizabeth Wilson, Yasmine Boudiaf, Nick Bryan-Kinns, Tega Brain, R. Luke DuBois, Alix Rule, Rachel Meade Smith, Kelani Nichole, Atharva Pravin Pawar, Rebecca Fiebrink·
arXiv:2609.03800v1 Announce Type: new Abstract: Federated learning is increasingly presented as a privacy-preserving advance: personal data remain on the device, and only model updates are shared. It borrows the vocabulary of the federated social web, yet inverts its logic, distr…
Federated learning is increasingly presented as a privacy-preserving advance: personal data remain on the device, and only model updates are shared. It borrows the vocabulary of the federated social web, yet inverts its logic, distributing computation while the resulting model st…
arXiv:2609.00572v1 Announce Type: cross Abstract: Enterprise artificial intelligence is increasingly embedded in decisions that must remain lawful, explainable, adaptable, and accountable despite personnel turnover, model replacement, regulatory change, and shifting organizationa…
arXiv cs.LG
TIER_1English(EN)·Franciszek Bernat (Centre for Credible AI, Warsaw University of Technology), Dawid P{\l}udowski (Centre for Credible AI, Warsaw University of Technology), Micha{\l} Jan W{\l}odarczyk (Centre for Credible AI, Warsaw University of Technology), Luca Longo (…·
arXiv:2609.01090v1 Announce Type: new Abstract: Scientific knowledge about AI models is produced faster than the community can organize it. Every few months a new foundation model reshapes the field and hundreds of papers, blogs, and technical reports document how each behaves or…
arXiv:2609.00137v1 Announce Type: new Abstract: AI is increasingly used in the R\&D process that produces future AI systems. We study the conditions under which this feedback becomes self-amplifying. Our model describes how the rate of AI capability growth depends on baseline…
arXiv cs.AI
TIER_1English(EN)·Dingjie Song, Hanrong Zhang, Dawei Liu, Yixin Liu, Zongxia Li, Zhengqing Yuan, Siqi Zhang, Henry Peng Zou, Zhiling Yan, Yuxuan Zhang, Yanfang Ye, Philip S. Yu, Lichao Sun·
arXiv:2609.00365v1 Announce Type: new Abstract: Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, yet end-to-end research still fragments across chat tools, IDEs, terminals, and writing environments, and the dec…
arXiv cs.CL
TIER_1English(EN)·Deepak Pandita, Christopher M. Homan·
arXiv:2608.30842v1 Announce Type: new Abstract: Humans play a vital role at every stage of AI development, from data collection and curation to model development and evaluation. However, humans often disagree with each other and sometimes with themselves over time. It is essentia…
arXiv cs.AI
TIER_1English(EN)·Aleksander Jarz\k{e}bowicz, Adam Przyby{\l}ek, Jacinto Estima, Yen Ying Ng, Jakub Swacha, Beata Zielosko, Lech Madeyski, Noel Carroll, Kai-Kristian Kemell, Bartosz Marcinkowski, Alberto Rodrigues da Silva, Viktoria Stray, Netta Iivari, Anh Nguyen-Duc, Jo…·
arXiv:2603.11842v2 Announce Type: replace-cross Abstract: The post-ChatGPT surge has rapidly reframed IS research and practice. As organizations and society grapple with GenAI adoption, a body of secondary studies and research agendas has emerged to synthesize early evidence and …
arXiv cs.AI
TIER_1English(EN)·Alessio Buscemi, Thibault Simonetto, Daniele Pagani, German Castignani, Maxime Cordy, Jordi Cabot·
arXiv:2509.25256v4 Announce Type: replace-cross Abstract: The systematic assessment of AI systems is increasingly vital as these technologies enter high-stakes domains. To address this, the EU's Artificial Intelligence Act introduces AI Regulatory Sandboxes (AIRS): supervised env…
arXiv:2608.25940v2 Announce Type: replace-cross Abstract: Physical AI models are evaluated on suites of benchmarks that differ across model reports, leaving the model-by-benchmark matrix sparse and the relationship between benchmarks unmeasured. We construct a matrix of 51 models…
arXiv:2608.29420v1 Announce Type: new Abstract: Frontier-model leaderboards now rank systems based on economic benchmarks, tests of how well models carry out professional tasks from software engineering to banking workflows, and those rankings inform what organisations buy, what …
arXiv:2608.30567v1 Announce Type: new Abstract: We present Turing-20B-A2B, a 20B-parameter Mixture-of-Experts language model that activates approximately 2B parameters per token, designed for long-context and latency-sensitive physical AI applications. The model adopts Quantile R…
arXiv cs.LG
TIER_1English(EN)·Ahmed El Kady, Aravind Narayanan, Rehana Noorani, Yani Ioannou, Shaina Raza·
arXiv:2608.31108v1 Announce Type: new Abstract: Efficient evaluation changes the protocol used to support claims about model behavior, yet it is rarely tested whether those claims remain stable after the evaluation itself is made cheaper. We stress-test conclusion robustness in r…
Enterprise artificial intelligence is increasingly embedded in decisions that must remain lawful, explainable, adaptable, and accountable despite personnel turnover, model replacement, regulatory change, and shifting organizational incentives. Existing governance frameworks provi…
Efficient evaluation changes the protocol used to support claims about model behavior, yet it is rarely tested whether those claims remain stable after the evaluation itself is made cheaper. We stress-test conclusion robustness in responsible-AI benchmarking by evaluating three d…
We present Turing-20B-A2B, a 20B-parameter Mixture-of-Experts language model that activates approximately 2B parameters per token, designed for long-context and latency-sensitive physical AI applications. The model adopts Quantile Routing in a dynamic top-k configuration, enablin…
arXiv:2608.27910v1 Announce Type: cross Abstract: As large language models and increasingly capable AI agents are deployed in high-risk settings, aligning them with complex human values has become a central challenge. Existing alignment methods, while effective in improving helpf…
A recursive reproduction number determines whether AI R&D feedback loops become self-amplifying based on research productivity, feedback strength, and rising difficulty.
Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, yet end-to-end research still fragments across chat tools, IDEs, terminals, and writing environments, and the decisions that make it auditable are rarely preserv…
arXiv:2608.26418v1 Announce Type: cross Abstract: Modern AI workloads and the hardware that runs them evolve on different timescales: architectural definition precedes volume silicon by years, while target workloads shift in months. Design decisions are therefore committed under …
arXiv:2507.22893v3 Announce Type: replace-cross Abstract: Contemporary human-AI interaction research overlooks how AI systems fundamentally reshape human cognition pre-consciously, a critical blind spot for understanding distributed cognition. This paper introduces "Cognitive Inf…
Modern AI systems advance through continuous iteration: a loop of proposing evolution directions, implementing code, training, and evaluation. While the latter three stages are increasingly automated, the starting point --- proposing effective evolution directions --- remains a c…
arXiv cs.LG
TIER_1English(EN)·Chu-Hsiang Huang, Yuan-Chih Fan Chiang, Chao-Kai Wen, Geoffrey Ye Li·
arXiv:2507.18538v3 Announce Type: replace-cross Abstract: Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral to the 5G Radio Access Network (RAN), enabling beam management, channel state information (CSI) feedback, positioning, and mobility predi…
Physical AI models are evaluated on suites of benchmarks that differ across model reports, leaving the model-by-benchmark matrix sparse and the relationship between benchmarks unmeasured. We construct a matrix of 51 models on 12 physical AI benchmarks, selected from a registry of…
arXiv cs.AI
TIER_1English(EN)·Aaron Dharna, Cong Lu, Ryan Sullivan, Joel Lehman, Victoria Krakovna, Jeff Clune·
arXiv:2608.23875v1 Announce Type: new Abstract: Artificial Intelligence (AI) algorithms frequently learn creative and unexpected solutions, surprising even expert researchers who develop and study them. They often astonish practitioners by discovering unanticipated behavior, expl…
arXiv:2502.15873v5 Announce Type: replace Abstract: Policymakers increasingly use development cost and compute as proxies for AI capabilities and risks. Recent laws have introduced regulatory requirements for models or developers that are contingent on specific thresholds. Howeve…
arXiv:2608.21363v1 Announce Type: new Abstract: A protocol is presented for recording the governance decisions of automated AI runtimes. When a runtime releases, blocks, defers, redacts, or escalates an individual output, AIREP records that decision as a single signed object that…
arXiv cs.AI
TIER_1English(EN)·Vanshika Vats, Marzia Binta Nizam, Minghao Liu, Ziyuan Wang, Richard Ho, Mohnish Sai Prasad, Vincent Titterton, Sai Venkat Malreddy, Riya Aggarwal, Yanwen Xu, Lei Ding, Jay Mehta, Nathan Grinnell, Li Liu, Sijia Zhong, Devanathan Nallur Gandamani, Xinyi T…·
arXiv:2403.04931v4 Announce Type: replace Abstract: As the capabilities of artificial intelligence (AI) continue to expand rapidly, Human-AI (HAI) Collaboration, combining human intellect and AI systems, has become pivotal for advancing problem-solving and decision-making process…
arXiv:2608.23271v1 Announce Type: cross Abstract: As generative AI tools find increasing use in research workflows, ongoing debates on their impact, appropriateness and responsible use have led policymakers to enact policies to disclose AI use at multiple publishing venues. Howev…
arXiv:2608.23524v1 Announce Type: cross Abstract: Artificial intelligence (AI) is transforming measurement in economics. AI models convert unstructured data, such as text and images, into structured variables at low cost, making previously prohibitive measurement feasible at scal…
arXiv cs.AI
TIER_1English(EN)·Iyiola E. Olatunji, Alberick Euraste Djire, Jacques Klein, Tegawend\'e F. Bissyand\'e·
arXiv:2608.22638v1 Announce Type: cross Abstract: Copying a function from a chat window into an editor takes less than a second. For many uses of AI coding tools, that speed is the point; in settings such as programming education, code review, and security-sensitive development, …
Artificial Intelligence (AI) algorithms frequently learn creative and unexpected solutions, surprising even expert researchers who develop and study them. They often astonish practitioners by discovering unanticipated behavior, exploiting loopholes in reward signals, or spontaneo…
As generative AI tools find increasing use in research workflows, ongoing debates on their impact, appropriateness and responsible use have led policymakers to enact policies to disclose AI use at multiple publishing venues. However, are current AI disclosure policies and practic…
arXiv:2608.20938v1 Announce Type: new Abstract: Evaluators often produce correct labels via flawed reasoning, a critical failure for agentic systems gating actions, routing reviews, or supplying training feedback. Standard evaluation only verifies final label correctness, ignorin…
arXiv:2608.20420v1 Announce Type: new Abstract: This paper develops a phenomenology-first approach to artificial consciousness by reframing consciousness as the subjective experience enacted through an agent's interface with the world. We shift the methodological focus to first-p…
arXiv:2608.21356v1 Announce Type: cross Abstract: For sixty years, machine verification has been a major cost overhead, affordable only for exceptional artifacts. Here we report that generative AI inverts this relationship: at AI speed, machine verification is not only economical…
arXiv:2504.13988v2 Announce Type: replace Abstract: This work defends the 'Whole Hog Thesis': sophisticated Large Language Models (LLMs) like ChatGPT are full-blown linguistic and cognitive agents, possessing understanding, beliefs, desires, knowledge, and intentions. We argue ag…
Simile’s CEO about his journey from the viral Generative Agents to creating 8 Billion Digital Twins of every living human... and why it’s gone from fun exploration to very serious business.
arXiv cs.AI
TIER_1English(EN)·Matthew O. Jackson, Benjamin S. Manning, Yutong Xie, Walter Yuan, Qiaozhu Mei·
arXiv:2608.18265v1 Announce Type: cross Abstract: We introduce a general, easy-to-implement AI-based method for studying the structure and complexity of human behavior. We assign a large language model a ``type vector'' and then prompt it to choose actions across settings in whic…
arXiv:2608.19072v1 Announce Type: new Abstract: Large language model (LLM) agents can now post-train an LLM end-to-end. They can write code, launch training, evaluate checkpoints, and improve downstream performance, raising the prospect of AI-for-AI. We argue that this picture co…
arXiv:2608.19140v1 Announce Type: new Abstract: Frontier language models are compared, marketed, and benchmarked on capability -- what their best or average output can achieve. I argue this measures the wrong axis. The models have saturated accuracy: their mean output lands on th…
arXiv:2608.19125v1 Announce Type: new Abstract: When an expert corrects an LLM assistant's error, the correction usually dies with the session, and the error class returns. I argue this is an operations problem, not a tooling problem: mechanisms for persisting corrections exist a…
arXiv:2603.04448v2 Announce Type: replace Abstract: Current AI agents can flexibly invoke tools and execute complex tasks, yet their long-term advancement is hindered by the lack of systematic accumulation and transfer of skills. Without a unified mechanism for skill consolidatio…
When an expert corrects an LLM assistant's error, the correction usually dies with the session, and the error class returns. I argue this is an operations problem, not a tooling problem: mechanisms for persisting corrections exist and are shipping, but the discipline for governin…
arXiv:2602.17127v2 Announce Type: replace Abstract: Large language models increasingly serve as reasoning layers in multi-agent systems, where one provider's models may generate, judge, and summarize within a single pipeline. This raises the question of whether developer organiza…
arXiv:2608.17271v1 Announce Type: new Abstract: Artificial superintelligence (ASI) requires AI to move beyond mastering existing knowledge toward exploring the unknown, creating new knowledge, and turning new ideas into verifiable results. However, the capabilities of today's AI …
arXiv cs.AI
TIER_1English(EN)·Ruth Cohen, Lu Feng, Ayala Bloch, Sarit Kraus·
arXiv:2604.03237v2 Announce Type: replace-cross Abstract: As AI systems increasingly support human decision making, a central challenge is determining what information helps people recognize when to rely on AI predictions and when to question or override them. Across three contro…
arXiv:2608.17471v1 Announce Type: new Abstract: Recent advances in LLM agents have made them increasingly capable of designing methods for complex AI tasks. This raises two central questions about agent-designed methods relative to human-designed methods: how well they perform, a…
arXiv:2608.17731v1 Announce Type: new Abstract: Diversity is a fundamental criterion for evaluating generative artificial intelligence (AI) systems, yet its measurement remains inherently ambiguous. Existing approaches typically represent generated samples in an embedding space, …
arXiv:2608.15326v1 Announce Type: new Abstract: Artificial intelligence (AI) benchmarks are not neutral tools of evaluation but socio-technical artefacts that shape competition, power, and research priorities within AI. Benchmarks standardise the assessment of systems and facilit…
arXiv:2608.14903v1 Announce Type: new Abstract: Quantitative forecasts of frontier artificial intelligence often connect dated targets to trends in benchmark scores, training compute, release time, or expert belief. This paper audits whether the public measurement record supports…
arXiv cs.AI
TIER_1English(EN)·Bo Ni, Franck Dernoncourt, Hongjie Chen, Yu Wang, Nesreen K. Ahmed, Zhengzhong Tu, Tyler Derr, Ryan A. Rossi·
arXiv:2608.14881v1 Announce Type: new Abstract: AI co-scientists that generate hypotheses, retrieve related work, design experiments, execute code, and draft full papers are beginning to change how research is carried out. Despite this rapid progress, state-of-the-art systems rem…
arXiv cs.AI
TIER_1English(EN)·Francisco Javier Arceo, S\'ebastien Han, Matthew Farrellee, Charlie Doern, Yuan Tang, Derek Higgins, Varsha Prasad Narsing, Gordon Sim, Sumanth Kamenani, Ben Browning, Raghotham Murthy·
arXiv:2608.14580v1 Announce Type: new Abstract: OGX (Open GenAI Stack) is an open-source AI application server and Python library that implements the APIs of major frontier labs (OpenAI, Anthropic, Google) with pluggable backend providers. Developers building agentic AI applicati…
arXiv:2608.14550v1 Announce Type: new Abstract: AI efficiency has recently taken the spotlight in both academy and industry due to massive model scales, high energy demands, and environmental costs. While reporting Floating Point Operations (FLOPs) is a traditional approach for a…
arXiv cs.AI
TIER_1English(EN)·Kaushik Sanjay Prabhakar, Tarun Adarsh R S, Amal Dhivyan Gregory, Sreeparvathy Sajeev, Utkarsh Tomar, Avyay M Casheekar·
arXiv:2608.15417v1 Announce Type: cross Abstract: Governments use laws, institutions, funding programs and nonbinding guidance to shape how AI is developed and used. Comparing these national approaches is difficult. A binding rule and a detailed voluntary framework can address th…
arXiv:2608.15693v1 Announce Type: new Abstract: Running large AI models on resource-constrained edge devices requires model compression to reduce model size and computation. What compresses well, however, need not deploy well. We survey dozens of recent works that report compress…
Artificial superintelligence (ASI) requires AI to move beyond mastering existing knowledge toward exploring the unknown, creating new knowledge, and turning new ideas into verifiable results. However, the capabilities of today's AI systems are still largely built on learning, com…
Import AI (Jack Clark)
TIER_1English(EN)·Jack Clark·
arXiv:2608.13577v1 Announce Type: new Abstract: This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of replacing humans) is guiding AI development in the wrong direction. Ins…
arXiv:2608.14407v1 Announce Type: new Abstract: We present a survey of the past and future of AI Scientists: machines capable of automating science. AI Scientists can originate hypotheses, deduce their consequences, design and execute experiments, interpret their results, and rev…
arXiv cs.AI
TIER_1English(EN)·Victor Barros de Miranda Neves, Kiev Santos da Gama, Vinicius Cardoso Garcia·
arXiv:2608.13730v1 Announce Type: cross Abstract: Empirical reports on the true cost of AI-intensive software development remain scarce, and the few that exist are easy to get wrong in ways that never surface in the final number. We report early results from an ongoing case study…
Governments use laws, institutions, funding programs and nonbinding guidance to shape how AI is developed and used. Comparing these national approaches is difficult. A binding rule and a detailed voluntary framework can address the same problem but create different duties. The re…
arXiv:2608.13345v1 Announce Type: new Abstract: Artificial Intelligence (AI) safety systems combine character shaping (e.g., Reinforcement Learning from Human Feedback [RLHF], Constitutional AI), which modifies behavioral distributions at training time, with rule enforcement (e.g…
arXiv cs.AI
TIER_1English(EN)·Chris Percy, Artur d'Avila Garcez·
arXiv:2608.12320v1 Announce Type: cross Abstract: This article reviews and updates the framework for accountability in AI based on account- ability ecosystems. We update the framework in light of the latest developments since the release of Large Language Models for general publi…
arXiv:2608.13558v1 Announce Type: new Abstract: Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows, from hypothesis generation and code execution to manuscript preparation. Yet workflow coverage alone does not prov…
arXiv cs.AI
TIER_1English(EN)·Alison R. Panisson, Maria Eduarda W. M. Vianna, Italo Firmino da Silva, Heitor Henrique da Silva, Rafaela Fernandes Savaris, Bernardo Pandolfi Costa, Martin Augusto Gagliotti Vigil, Jim Lau, Agenor Hentz, Andr\'ea Sabedra Bordin, Alexandre Leopoldo Gon\c…·
arXiv:2608.13447v1 Announce Type: new Abstract: Academic leagues have become important mechanisms for promoting extracurricular education and strengthening the integration between universities and society. This paper presents the organizational framework adopted by the Academic L…
arXiv cs.AI
TIER_1English(EN)·Vijay Keswani, Breanna K. Nguyen, Cyrus Cousins, Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg·
arXiv:2608.12372v1 Announce Type: new Abstract: AI systems are increasingly employed as decision aids, decision delegates, or autonomous decision-makers. This position paper argues that in many settings, particularly high-stakes decision-making, we need accurate cognitively-align…
arXiv cs.AI
TIER_1English(EN)·Alan Woodward, Andrew Rogoyski·
arXiv:2608.13272v1 Announce Type: new Abstract: A small number of firms based in two states produce the most capable frontier AI models. The governments of those states have shown both the legal power and the political will to decide which other countries may use these systems. I…
The paper introduces personalized auto-research, a framework that conditions AI-driven hypothesis generation, experimentation, and writing on individual researcher representations to avoid generic outputs.
arXiv cs.CL
TIER_1English(EN)·Hunter McNichols, Kai Du, Andrew Lan·
arXiv:2608.11460v1 Announce Type: new Abstract: Large Language Model-powered agents are increasingly used in the workplace via human-artificial intelligence (AI) collaboration. In this new era of work, it is important to understand the kinds of prompting traits that contribute to…
arXiv cs.AI
TIER_1Deutsch(DE)·Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum·
arXiv:2502.20502v2 Announce Type: replace Abstract: Recent advances in Artificial Intelligence (AI) have yielded powerful computational models that, by learning from vast amounts of human-generated data, are increasingly posited as approximate models of human cognition. However, …
arXiv:2608.11322v1 Announce Type: cross Abstract: Human-AI research often evaluates individual capabilities, combined performance, or final outputs, but these approaches do not preserve how one party's response becomes part of the conditions under which the other party's next con…
arXiv:2608.12036v1 Announce Type: new Abstract: AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities and the risks they may pose remain poorly understood. As AI development becomes faster and increasingly automated, m…
arXiv:2608.12307v1 Announce Type: cross Abstract: Recent work on distillation transfers the capabilities of large models to smaller ones often by updating the latter's parameters, through teacher forcing, on-policy distillation, and related training-time methods. In this paper, w…
arXiv cs.AI
TIER_1English(EN)·Long Hoang Nguyen, Eva Sp\"athe, Sebastian Lins, Ali Sunyaev·
arXiv:2608.12104v1 Announce Type: cross Abstract: The increasing deployment of autonomous, agentic AI systems challenges traditional accountability mechanisms. Existing research predominantly frames AI accountability gaps as barriers that can be overcome through better standards,…
arXiv:2608.12278v1 Announce Type: cross Abstract: Artificial intelligence tools for education and language support are increasingly framed as scalable responses to access gaps in under-resourced communities. Yet the infrastructure underlying these tools, including training corpor…
OmniScientist is an end-to-end omni-modal AI scientist that performs multidisciplinary research directly from heterogeneous raw evidence using autonomous agents and lifecycle-wide perception, improving evidence-grounded discovery across diverse scientific modalities.
Recent work on distillation transfers the capabilities of large models to smaller ones often by updating the latter's parameters, through teacher forcing, on-policy distillation, and related training-time methods. In this paper, we ask whether such transfer can instead occur at t…
AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities and the risks they may pose remain poorly understood. As AI development becomes faster and increasingly automated, mechanistic exploration remains largely manual, w…
AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities and the risks they may pose remain poorly understood. As AI development becomes faster and increasingly automated, mechanistic exploration remains largely manual, w…
arXiv cs.AI
TIER_1English(EN)·Wesley Hanwen Deng, Agathe Balayn, Andrew Selbst, Jason I. Hong, Motahhare Eslami, Kenneth Holstein, Hanna Wallach, Jennifer Wortman Vaughan, Solon Barocas·
arXiv:2608.10431v1 Announce Type: cross Abstract: Responsible AI (RAI) has become a central concern for technology companies, regulators, and the public. How industry practitioners interpret, implement, and sustain RAI work directly shapes the design and deployment of AI systems.…
arXiv cs.AI
TIER_1English(EN)·Yuqiao Xu, Osama Zafar, Alexander Nemecek, Erman Ayday·
arXiv:2608.10239v1 Announce Type: new Abstract: Generative AI makes social-engineering attacks more fluent, adaptive, and scalable, increasing the need for LLM-based de- fenders that can protect users during ongoing interactions. We ask whether such defenders identify the structu…
arXiv cs.AI
TIER_1English(EN)·Alan Li, Rahul Saha, Anton Xue, Swarat Chaudhuri, Adam Klivans, Pravesh K Kothari, Raghu Meka·
arXiv:2608.11195v1 Announce Type: new Abstract: AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards this, we present an extensive case study of how AI was used to improve bounds on the Grothendieck constant $K_G$, …
arXiv:2608.10327v1 Announce Type: new Abstract: Can AI systems be aligned to human values? The popularization of large language models (LLMs) and multi-modal foundation models has seen a rise in harms spanning from toxic speech and hallucinations to AI agents executing unauthoriz…
Mechanist is an autonomous agentic system that uses AI to discover and control the mechanisms underlying model intelligence, generating hypotheses, performing causal interventions, and improving safety and performance.
Stronger models can build inference-time harnesses that substantially improve weaker models' task performance without parameter updates by offloading reasoning into structured code and routing.
AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards this, we present an extensive case study of how AI was used to improve bounds on the Grothendieck constant $K_G$, which captures the hardness between combinatoria…
Every new generation of accelerated computing demands more from the infrastructure underneath it — more compute performance, higher rack density and more efficient, scalable power distribution. The bottleneck isn’t just wattage. It’s how power gets from the grid to the GPU. In tr…
arXiv:2509.14474v3 Announce Type: replace Abstract: The debate around Artificial General Intelligence (AGI) remains open due to two fundamentally different goals: replicating human-level performance versus replicating human-like cognitive processes. We argue that performance-base…
arXiv:2509.23426v3 Announce Type: replace Abstract: AI scientists are emerging computational systems that serve as collaborative partners in discovery. These systems remain difficult to build because they are bespoke, tied to rigid workflows, and lack shared environments that uni…
arXiv:2608.07542v1 Announce Type: new Abstract: Autonomous research loops driven by large language models can run machine-learning experiments at scale but tend to drift toward local refinements of whichever metric they optimise rather than testing the hypotheses that motivate th…
arXiv:2608.07474v1 Announce Type: new Abstract: Prior work showed that human-in-the-loop oversight becomes structurally untenable in high-loss domains when AI output velocity V exceeds human cognitive capacity C_max. The operative constraint, however, is not V alone but V x L, wh…
arXiv:2608.09385v1 Announce Type: cross Abstract: Generative AI models are primarily designed to imitate the data distribution, an objective that neither corrects diversity lost by a learned generator nor defines how generation should extend beyond the diversity of the data itsel…
arXiv:2608.07504v1 Announce Type: cross Abstract: We propose a human bottleneck perspective for understanding how generative AI transforms the innovation process. The central premise is that many constraints traditionally plaguing the innovation process are cognitive and social i…
arXiv cs.AI
TIER_1English(EN)·Vincent Cohen-Addad, Dimitris Paparas, Ernest van Wijland, Max Springer, Julien Canitrot-Paradis, Honghao Lin, David Woodruff, Adarsh Kumarappan, Rajesh Jayaram, Rudrajit Das, Lalit Jain, Ola Svensson, Silvio Lattanzi, Mislav Balunovic, Theophane Weber, …·
arXiv:2608.09538v1 Announce Type: cross Abstract: We introduce TCS-Bench, a benchmark for evaluating Large Language Models (LLMs) on research-level Theoretical Computer Science (TCS) proof generation. TCS-Bench consists of theorem-proving tasks from papers published at top theore…
arXiv:2608.08443v1 Announce Type: cross Abstract: Previous studies have shown that people can develop shared symbols, partner-specific expressions, personal idioms, inside jokes, and other parts of a relational microculture. Recent work has also examined how humans and conversati…
arXiv:2608.08240v1 Announce Type: new Abstract: This paper explores the idea of promoting well-being and safety in human-AI interactions by forcing AI agents explicitly to empower humans and to manage the power balance between humans and AI agents in a desirable way. Using a prin…
arXiv cs.AI
TIER_1English(EN)·Vyoma Raman, Isabel O. Gallegos, Neha Srivathsa·
arXiv:2608.08408v1 Announce Type: cross Abstract: Logics of abstraction in computational AI research often push important forms of knowledge and reflection aside: dominant standards of legitimacy separate from lived experience of harm; the goals of work misalign with the practice…
arXiv:2608.00818v2 Announce Type: replace Abstract: The discovery of scaling laws has highlighted the extraordinary potential of AI systems with a striking empirical pattern: as AI systems scale, their capabilities tend to improve predictably. Yet, in real-world applications, AI …
arXiv:2608.08942v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly integrated into healthcare, education, public services, and everyday decision making. They should provide comparable assistance regardless of a user's literacy, communication style, or p…
arXiv cs.AI
TIER_1English(EN)·Sharon Temtsin, Diane Proudfoot, David Kaber, Christoph Bartneck·
arXiv:2501.17629v2 Announce Type: replace-cross Abstract: Several studies claim that large language models have passed the Turing Test and hence can "think", yet none follow Turing's original instructions precisely. Passing the test holds significance as evidence that a machine d…
Apodex Discovery introduces a framework for verifiable, extended AI investigations using a heavy-duty solver and structured evaluation across real-world scientific tasks.
We introduce TCS-Bench, a benchmark for evaluating Large Language Models (LLMs) on research-level Theoretical Computer Science (TCS) proof generation. TCS-Bench consists of theorem-proving tasks from papers published at top theoretical computer science venues (STOC, FOCS, and SOD…
Generative AI models are primarily designed to imitate the data distribution, an objective that neither corrects diversity lost by a learned generator nor defines how generation should extend beyond the diversity of the data itself. We introduce Imaginative Generative AI (IGA), a…
arXiv cs.AI
TIER_1English(EN)·Afreen Alam, Evgenija Popchanovska, Ana Gjorgjevikj, Maryan Rizinski, Lubomir T. Chitkushev, Irena Vodenska, Dimitar Trajanov·
arXiv:2608.07446v1 Announce Type: cross Abstract: Rapid adoption of large language models (LLMs) in enterprise settings has introduced operational, security, and governance risks. As generative AI applications move from pilot to production, manual harm identification and mitigati…
arXiv cs.AI
TIER_1English(EN)·Joshua Zuniga, Srinivasan Subramanian, Ramya Madhuri Narapureddy, Md Abdullah Al Hafiz Khan·
arXiv:2608.06657v1 Announce Type: new Abstract: Modern cyber-physical and AI-assisted systems couple human operators, AI decision modules, and automated controllers in a single control loop, so trustworthiness depends on the whole loop, not any one model. Yet no standard benchmar…
arXiv:2608.07214v1 Announce Type: cross Abstract: Modern AI is no longer a single model but an ecosystem: classical ML predictors, deep and multimodal models, large language models, and agents, each trained and tuned over different data sources and each producing outputs at scale…
arXiv cs.AI
TIER_1English(EN)·Bella Xinrui Li, Frank Yingjie Huo, Neil F Johnson·
arXiv:2608.07457v1 Announce Type: new Abstract: What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a counterintuitive answer that opens new avenues for out-of-equilibrium Physics. When a boss AI directs a stream of mess…
This paper explores the idea of promoting well-being and safety in human-AI interactions by forcing AI agents explicitly to empower humans and to manage the power balance between humans and AI agents in a desirable way. Using a principled, partially axiomatic approach based on de…
arXiv cs.AI
TIER_1English(EN)·Nimisha Karnatak, Max Van Kleek, Nigel Shadbolt·
arXiv:2608.05602v1 Announce Type: new Abstract: Generative AI systems are increasingly deployed in high-stakes professional contexts, where their outputs shape what users believe, how they reason, and what they treat as settled. This raises a central question for responsible AI: …
arXiv:2608.05173v1 Announce Type: cross Abstract: As AI capabilities advance, AI systems will pose greater risks to national security and potentially humanity as a whole. Governments may eventually conclude that these risks warrant restraining AI development. This motivates the q…
arXiv:2608.05710v1 Announce Type: new Abstract: When an AI system is deployed, the individuals who use and or are evaluated by it form beliefs about how the system operates and use those beliefs to strategically present their preferences, behaviors, or attributes. The system then…
arXiv cs.AI
TIER_1English(EN)·Ro Encarnaci\'on, Tina Behzad, Emma Lurie, Dana\'e Metaxa·
arXiv:2608.06202v1 Announce Type: cross Abstract: Large language model (LLM) benchmark evaluations are routinely used to support claims about model safety, reliability, and deployment readiness. Yet most evaluations rely on a single access modality (model APIs), perform a single …
arXiv:2608.05624v1 Announce Type: new Abstract: Sycophantic responses are becoming pervasive in large language models (LLMs), and prior work has pointed out that some of them could be harmful. This paper focuses on one harmful sycophancy: preference-induced stance reversal sycoph…
arXiv cs.LG
TIER_1English(EN)·Fardin Afdideh, Fernando Seoane, Farhad Abtahi·
arXiv:2608.06246v1 Announce Type: new Abstract: Post-training adaptation has become central to modern machine learning practice and includes techniques such as retraining, fine-tuning, parameter-efficient adaptation, alignment, retrieval augmentation, model editing, unlearning, c…
In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by whether an open ecosystem reaches every sector.
arXiv:2608.04921v1 Announce Type: cross Abstract: As AI systems become increasingly integrated into diverse interfaces and applications, model-centric audits are insufficient to address risks arising from interactions among system components and deployment environments. System in…
arXiv:2608.02491v2 Announce Type: replace Abstract: Language models have taken on the role of a very new type of technology, by virtue of their "human-ness" and rapid integration into users' daily lives. This combination of features can introduce longitudinal risks---cognitive, d…
arXiv cs.AI
TIER_1English(EN)·Joshua Fonseca Rivera (Independent), Neil Shah (Independent), David Demitri Africa (UK AI Security Institute), Konstantinos Voudouris (UK AI Security Institute)·
arXiv:2608.05086v1 Announce Type: new Abstract: Language models differ in how safely they behave and these differences are measured by safety benchmarks. But aggregated benchmark scores are hard to trust and interpret, because benchmarks duplicate one another, correlate heavily, …
arXiv:2608.04012v1 Announce Type: new Abstract: Artificial intelligence systems are increasingly expected to operate over repeated cycles of interaction, adaptation, and update rather than through isolated one-shot outputs. This raises a fundamental theoretical question: can an A…
arXiv cs.AI
TIER_1English(EN)·Agnese Chiatti, Michael Cochez, Cristina Cornelio, Sebastijan Dumancic, Artur d'Avila Garcez, Luis C. Lamb, Lia Morra, Mathias Niepert, Robert Peharz, Alberto Speranzon, Maarten Stol, Annette Ten Teije, Thiviyan Thanapalasingam, Frank Van Harmelen, Emile…·
arXiv:2608.04285v1 Announce Type: new Abstract: Neurosymbolic AI systems that integrate machine learning and symbolic reasoning are rapidly gaining attention. They complement the data-intensive statistical approaches of neural networks and language models with symbolic reasoning …
arXiv cs.AI
TIER_1English(EN)·William Bolton, Philip Torr·
arXiv:2608.03569v1 Announce Type: new Abstract: Benchmarking the ability of AI scientists to generate novel ideas is notoriously difficult. Existing benchmarks in this field have made progress in evaluating scientific reasoning and research replication, but often rely on syntheti…
arXiv cs.AI
TIER_1English(EN)·Muhammad Waseem, Md Aidul Islam, Md Nasir Uddin Shuvo, Md Mahade Hasan, Kai-Kristian Kemell, Jussi Rasku, Mika Saari, Vilma Saari, Roope Pajasmaa, Markku Oivo, Pekka Abrahamsson·
arXiv:2608.02679v1 Announce Type: cross Abstract: Collaborative AI experimentation across industry and academia requires platforms that enable rapid prototyping while preserving controlled access, tenant separation, and transparent workflows. Despite growing interest in AI sandbo…
arXiv cs.AI
TIER_1English(EN)·Grace Liu, Brian Christian, Tsvetomira Dumbalska, Michiel A. Bakker, Rachit Dubey·
arXiv:2604.04721v3 Announce Type: replace Abstract: People often optimize for long-term goals in collaboration: A mentor or companion doesn't just answer questions, but also scaffolds learning, tracks progress, and prioritizes the other person's growth over immediate results. In …
arXiv:2608.02786v1 Announce Type: new Abstract: AI systems can fail silently. The failure propagates through training loops, evaluation pipelines, and production monitoring stacks until downstream harm makes it visible. This paper introduces evaluation blindness: a measurement fu…
Benchmarking the ability of AI scientists to generate novel ideas is notoriously difficult. Existing benchmarks in this field have made progress in evaluating scientific reasoning and research replication, but often rely on synthetic tasks or retrospective targets, which may be c…
arXiv:2608.02100v1 Announce Type: cross Abstract: As AI increasingly participates in human decision making, understanding how decision-making authority is distributed between humans and AI has become a fundamental behavioural question. We introduce a behavioural measurement frame…
arXiv cs.LG
TIER_1English(EN)·Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo, Nataliya Balabanova, Martin Smit, Chin-wing Leung, Paolo Bova, Manuel Chica Serrano, Dhanushka Dissanayake, Manh Hong Duong, Elias Fernandez Domingos, Nikita Huber-Kralj, Marcus Krellner, Andrew Powell, Stefan…·
arXiv:2603.24742v2 Announce Type: replace-cross Abstract: As the capabilities and adoption of Artificial Intelligence (AI) systems grow, trust in these AI systems is an increasingly urgent concern. Much research has focused on models of AI governance and has primarily examined in…
arXiv cs.LG
TIER_1English(EN)·Andr\'as J. Moln\'aar, Csaba I. Sidl\'o, Rita R\'onai, Domonkos R\'ozsay·
arXiv:2608.00815v1 Announce Type: new Abstract: The 15-minute city promotes access to everyday services within a short walk or bicycle ride, but its relationship with observed mobility remains difficult to quantify. We investigate this relationship in the Paris metropolitan area …
Import AI (Jack Clark)
TIER_1English(EN)·Jack Clark·
arXiv:2607.28666v1 Announce Type: new Abstract: Enterprise AI programmes stall at a rate that is widely quoted and poorly explained. This paper measures the mechanism. Six document-heavy workflows of the kind performed daily in regulated financial services were run across four mo…
arXiv:2603.29888v2 Announce Type: replace-cross Abstract: In collaboration with Alibaba, we study how a generative AI assistant affects service performance in e-commerce after-sales operations. In a large-scale field experiment, human agents providing digital chat support were ra…
<h4>Open letters about AI development</h4> <p><em>I wrote this summary of the past few weeks of open letters as a section of <a href="https://simonwillison.net/2026/Aug/2/july-newsletter/">my sponsors-only newsletter</a> but I've decided to share it here as well.</em></p> <p><str…
arXiv:2607.26827v1 Announce Type: cross Abstract: Generative AI tools for creative work tend to be designed around the goal of removing friction, on the assumption that smoother iteration and faster output translate into more value for the designer. We argue, however, that this f…
arXiv cs.AI
TIER_1English(EN)·Prothit Sen, Sai Mihir Jakkaraju·
arXiv:2504.20903v4 Announce Type: replace-cross Abstract: How should organizations divide and sequence decision tasks between human and artificial agents? We develop a computational model of joint sequential adaptation in which two agents differ in a single, precisely specified w…
arXiv:2607.26069v1 Announce Type: cross Abstract: As AI systems are rapidly integrated into critical economic, governmental, and national security functions, the gap between AI adoption and AI security readiness continues to widen. This paper presents a prioritized agenda for adv…
arXiv:2607.26068v1 Announce Type: cross Abstract: Existing AI governance frameworks, including the EU AI Act and NIST AI RMF, address safety, transparency, and accountability but do not operationalize quantitative constraints on macro-socioeconomic stability. As a result, AI syst…
arXiv cs.CL
TIER_1English(EN)·Haran Shani-Narkiss, Michael Fire, Oren Tsur·
arXiv:2607.27232v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly shaping how we consume information and form our worldview. This raises concerns beyond bias in AI: do LLMs grasp the emotional nuances conveyed via textual framing? In this work, we empi…
arXiv:2607.26159v1 Announce Type: cross Abstract: An AI benchmark result rarely reaches a consequential claim in one step. Evaluators generalize it to further cases, interpret it as evidence of capability, extrapolate it to new tasks, transport it to another system or site, and c…
Generative AI tools for creative work tend to be designed around the goal of removing friction, on the assumption that smoother iteration and faster output translate into more value for the designer. We argue, however, that this framing leaves out something important about how de…
arXiv cs.AI
TIER_1English(EN)·Till Mossakowski, Helena Esther Grass·
arXiv:2604.14990v2 Announce Type: replace Abstract: The prospect of Artificial General Intelligence (AGI) is increasingly driving institutional decisions, and alignment of AGI is a hard problem. The currently dominant AI alignment strategies like reinforcement learning with human…
arXiv:2607.25637v1 Announce Type: cross Abstract: F(AI)2R is FAIR research with AI in the loop, twice: an AI-assisted authoring pass and a machine-readable audit pass over every artefact. AI systems now draft, refactor, and verify research artefacts, yet their contributions are r…
arXiv cs.AI
TIER_1English(EN)·Aline Mangold, Juliane Zietz, Susanne Weinhold, Sebastian Pannasch·
arXiv:2510.12201v2 Announce Type: replace Abstract: As AI becomes more common in everyday living, there is an increasing demand for intelligent systems that are both performant and understandable. Explainable AI (XAI) systems aim to provide comprehensible explanations of decision…
arXiv:2604.19341v2 Announce Type: replace-cross Abstract: Scientific discovery often requires many cycles of proposing, testing, and refining candidate solutions. Language models can increasingly participate in these loops, but simply generating more attempts does not ensure prog…
arXiv cs.AI
TIER_1English(EN)·Elias Fern\'andez Domingos, The Anh Han·
arXiv:2607.26034v1 Announce Type: new Abstract: Technological races create tension between speed and safety: actors may gain by moving faster than competitors, even when risky development is harmful. This is prominent in debates about artificial intelligence (AI), where competiti…
arXiv cs.AI
TIER_1English(EN)·Jenny T. Liang, Mihika Bairathi, Wayne Chi, Ameet Talwalkar, Nishant Subramani, Valerie Chen·
arXiv:2607.25130v1 Announce Type: cross Abstract: Imperfections in AI-generated code require that software developers modify the generated code manually, or by re-prompting an AI programming assistant. Manual code edits provide more realistic and granular information on editing b…
METR (Model Evaluation & Threat Research)
TIER_1English(EN)·
<p>AI agents sometimes autonomously take sophisticated, sustained actions in clear violation of user and developer intent. As an example, last week OpenAI <a href="https://openai.com/index/hugging-face-model-evaluation-security-incident/">reported</a> that some of its internal fr…
arXiv cs.CL
TIER_1English(EN)·Naira Abdou Mohamed, Haidar Nassur Said Ali, Mohamed Hazra, Naoufal Mohamed Soibira, Roushnaty Ali Yamani·
arXiv:2607.23481v1 Announce Type: new Abstract: This paper presents Mwando, a virtual educational assistant designed to support the teaching and preservation of shiKomori, the language of the Comoros Islands. The system covers the four main dialectal variants (shiNgazidja, shiMwa…
arXiv:2607.23733v1 Announce Type: cross Abstract: Firms struggle to choose AI projects that pay off: two projects can look equally promising to smart, motivated stakeholders and yet deserve opposite decisions. At the residential real-estate brokerage Compass, one AI product (Like…
arXiv cs.AI
TIER_1English(EN)·Bin Dong, Sukhada Gholba, Brooklin Gore, Shawn Kwang, David Mitchell, Samuel Oehlert, Garrett Stewart, Brendan White, Luke Baker, Ed Balas, Britt Gathright, Chin Guok, Jon-Paul Heron, John MacAuley, Scott Richmond, Chris Robb, Chris Tracy, Kesheng Wu·
arXiv:2607.22948v1 Announce Type: cross Abstract: The ORBIT (Operations Responses and Business Intelligence Toolkit) project was initiated to assess agentic AI for the upcoming ESnet 7 initiative and to address persistent operational pain points in the Network Operations Center (…
arXiv:2607.22877v1 Announce Type: new Abstract: With the emergence of Physical AI, artificial intelligence is extending beyond screen-based applications to embodied systems that perceive, interact with, and act in the physical world. Unlike traditional AI, Physical AI operates un…
arXiv:2607.24243v1 Announce Type: new Abstract: Mainstream AI research emphasises capability growth and tolerates low failure rates when average-case performance is high. AI safety and alignment research has a different mission: to ensure that catastrophic failures never occur, u…
arXiv:2607.24032v1 Announce Type: new Abstract: Generative-AI evaluations can become historical before publication, yet calendar age does not affect every conclusion equally. This paper has two linked purposes. First, it audits a maximum-variation purposive corpus of 40 empirical…
<p><strong><a href="https://www.oneusefulthing.org/p/an-opinionated-guide-to-which-ai-b22">An opinionated guide to which AI to use to do stuff</a></strong></p> It's interesting watching the evolution of Ethan Mollick's guide over time. </p> <p><a href="https://www.oneusefulthing.…
Import AI (Jack Clark)
TIER_1English(EN)·Jack Clark·
Generative-AI evaluations can become historical before publication, yet calendar age does not affect every conclusion equally. This paper has two linked purposes. First, it audits a maximum-variation purposive corpus of 40 empirical records appearing between 18 July 2025 and 17 J…
arXiv:2607.21268v1 Announce Type: cross Abstract: In many social-science research tasks, such as economics, LLM-based agents must produce outputs for which no cheap, task-complete, machine-readable correctness signal exists. This creates a distinctive reliability problem for mult…
arXiv cs.AI
TIER_1English(EN)·Nadine Chang, Maying Shen, Jialiang Wang, Rafid Mahmood, Jose M. Alvarez·
arXiv:2607.20532v1 Announce Type: cross Abstract: Many modern AI systems are designed to operate under diverse, open-ended, use-cases. To help generalize deployed systems, many deployed-system maintenance pipelines use a reactive AI flywheel that observes emerging feedback from u…
arXiv cs.AI
TIER_1English(EN)·Zeshu Zhu, Natalie Friedman, Kevin Weatherwax, Emily Eiben·
arXiv:2607.20773v1 Announce Type: cross Abstract: Large language models (LLMs) have shifted human--computer interaction from `traditional'' interface journeys toward more conversational exchanges. Researchers studying HCI and UI use moderated usability sessions, interviews, surve…
arXiv:2607.20781v1 Announce Type: new Abstract: Artificial Intelligence (AI) is rapidly transforming organizations, raising a fundamental organizational and economic question: when will a human employee be replaced by AI? We present an analytical model for studying Human--AI Task…
arXiv:2607.20796v1 Announce Type: new Abstract: This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neu…
In many social-science research tasks, such as economics, LLM-based agents must produce outputs for which no cheap, task-complete, machine-readable correctness signal exists. This creates a distinctive reliability problem for multi-agent systems: how should generation, critique, …
arXiv cs.AI
TIER_1English(EN)·Matthias Mertens, Adam Kuzee, Brittany S. Harris, Harry Lyu, Wensu Li, Jonathan Rosenfeld, Meiri Anto, Martin Fleming, Neil Thompson·
arXiv:2604.01363v2 Announce Type: replace Abstract: We propose that AI automation is a continuum between: (i) crashing waves where AI capabilities surge abruptly over small sets of tasks, and (ii) rising tides where the increase in AI capabilities is more continuous and broad-bas…
arXiv cs.LG
TIER_1English(EN)·Heng Jin, Chaoyu Zhang, Hexuan Yu, Shanghao Shi, Ning Zhang, Y. Thomas Hou, Wenjing Lou·
arXiv:2603.07466v2 Announce Type: replace-cross Abstract: Cloud-based infrastructure has become the dominant platform for deploying large models, particularly large language models (LLMs). Fine-tuning and inference are increasingly delegated to cloud providers for simplified depl…
arXiv:2607.19292v1 Announce Type: cross Abstract: Current AI safety discourse still focuses disproportionately on visible failures, including obvious harms, dramatic misuse, and hypothetical catastrophic scenarios. That focus is incomplete. In deployed systems, many of the most c…
arXiv cs.AI
TIER_1English(EN)·Lena Libon, Ben Rank, Jehyeok Yeon, David Schmotz, Jeremy Qin, Daniel Donnelly, Derck Prinzhorn, Maksym Andriushchenko·
arXiv:2607.19321v1 Announce Type: new Abstract: As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the agents themselves may be untrusted. AI control offers one such approach: rather than trusting the agent, it tr…
arXiv:2607.18242v1 Announce Type: new Abstract: The coming era of autonomous AI agents demands a discovery mechanism capable of navigating millions of tools, yet existing solutions buckle under O(N) complexity and centralized governance. Instead of building another fragile overla…
arXiv:2607.18239v1 Announce Type: new Abstract: Power-seeking defined as behaviors where AI systems acquire resources, evade oversight, or resist termination beyond task requirements is identified as a key driver of Loss of Control (LoC) risk. In this work, we introduce SysAdmin,…
arXiv cs.AI
TIER_1English(EN)·Kwan Soo Shin, In Seok Kang, Munho Lee·
arXiv:2607.17513v1 Announce Type: cross Abstract: Expert domains are trees; the Euclidean transformer is not, diluting parent-child structure exponentially at depth. The hyperbolic turn left one question unasked: not how much of a network to curve, but where curvature may touch t…
arXiv cs.AI
TIER_1English(EN)·Lingdong Kong, Xian Sun, Wei Chow, Linfeng Li, Kevin Qinghong Lin, Xuan Billy Zhang, Song Wang, Rong Li, Qing Wu, Wei Gao, Yingshuo Wang, Shaoyuan Xie, Jiachen Liu, Leigang Qu, Shijie Li, Lai Xing Ng, Benoit R. Cottereau, Ziwei Liu, Tat-Seng Chua, Wei Ts…·
arXiv:2605.18661v2 Announce Type: replace Abstract: AI-assisted research is crossing a threshold: fully automated systems can now generate research papers for as little as $15, while long-horizon agents can execute experiments, draft manuscripts, and simulate critique with minima…
arXiv:2607.16202v1 Announce Type: new Abstract: AI democratization is not primarily a question of matching frontier-scale generality; it is a question of whether capable models can be selected, audited, and specialized under hardware and governance constraints that ordinary insti…
arXiv:2607.16660v1 Announce Type: cross Abstract: The increasing adoption of Large Language Models (LLMs) as AI components in modern software systems introduces distinct security risks to the software supply chain. While many considerations and safety mechanisms are in place for …
arXiv:2607.16530v1 Announce Type: new Abstract: As generative AI is increasingly applied to automate multi-step and high-stake workflows, human judgment and involvement remain essential for ensuring the quality of AI-generated outputs. In practice, while it is desirable for human…
arXiv:2607.16224v1 Announce Type: cross Abstract: An international agreement to limit AI development could be crucial to mitigate risks from AI. However, it remains unclear which conditions should determine when the limiting measures are relaxed. We survey existing international …
arXiv cs.AI
TIER_1English(EN)·Afshin Khadangi, Hanna Marxen, Amir Sartipi, Igor Tchappi, Gilbert Fridgen·
arXiv:2512.04124v4 Announce Type: replace-cross Abstract: Frontier language models increasingly participate in conversations about distress and mental health, yet the mechanisms that generate anthropomorphic self narratives remain unclear. When addressed as psychotherapy clients,…
arXiv cs.AI
TIER_1English(EN)·Wilber Sean Anterola, Matthew Ball, Luis F. Lafuerza, Markov Grey·
arXiv:2607.16112v1 Announce Type: new Abstract: Frontier AI companies have published capability thresholds that differ substantially, making it difficult for third parties to verify whether a threshold has been crossed or to compare requirements across companies. Moreover, withou…
arXiv cs.AI
TIER_1English(EN)·Jose Manuel de la Chica Rodriguez, Jairo Rodriguez Arias, Spyridon Chouliaras·
arXiv:2607.15944v1 Announce Type: cross Abstract: Standard automation ROI misses four categories of systemic risk -- tacit knowledge erosion, resilience reduction, regulatory exposure, and socio-institutional capital degradation -- that affect long-term organizational performance…
arXiv cs.AI
TIER_1English(EN)·Trisevgeni Papakonstantinou, Cansu Canca, Farah Nanji, Waheedullah Pardess, Jen Weedon, Jasmijn Remmers, Eliza Krigman, Matthew Ball, Yalda Daryani, Kiran Iqbal, Francielle Vargas, Mar\'ia Llorente S\'anchez, Joe Humphreys, Fendi Tsim, Kelly Fitzpatrick,…·
arXiv:2607.15992v1 Announce Type: new Abstract: Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings. Yet this work has not produced a market that rewards trustworthiness. …
arXiv:2607.15480v1 Announce Type: new Abstract: As artificial intelligence (AI) systems increasingly impact society, ensuring their ethical and trustworthy deployment has become a global priority. While a myriad of high-level ethical guidelines have emerged, criticism persists th…
arXiv:2607.16057v1 Announce Type: cross Abstract: Large language models (LLMs) are improving rapidly as reflected in benchmark scores, yet these AI benchmarks largely test capabilities such as factual recall, narrow question answering, mathematical problem-solving, and coding and…
arXiv:2603.13545v2 Announce Type: replace Abstract: AI development has a fiction dependency problem. Developers have treated large corpora of modern books, including fiction, as valuable enough to accept substantial cost and legal risk, yet current models still struggle to genera…
<p><i><span>Preface for LessWrong</span></i><span>: </span><a href="https://www.lesswrong.com/posts/iKm2FhpWkuuBojm82/why-i-left-google-deepmind"><span>My post on leaving Google DeepMind</span></a><span> tells a story. In contrast, this Framework is a question of mechanism design…
The increasing adoption of Large Language Models (LLMs) as AI components in modern software systems introduces distinct security risks to the software supply chain. While many considerations and safety mechanisms are in place for components of the traditional software supply chai…
Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings. Yet this work has not produced a market that rewards trustworthiness. Firms that invest seriously in safety, fairness,…
Standard automation ROI misses four categories of systemic risk -- tacit knowledge erosion, resilience reduction, regulatory exposure, and socio-institutional capital degradation -- that affect long-term organizational performance. PHP-AIO (Protocol for Human Preservation in AI-O…
arXiv:2607.15190v1 Announce Type: new Abstract: AI benchmarks increasingly leverage item-level statistical models, particularly item response theory (IRT), to estimate model capabilities, rank systems, select informative examples, and diagnose benchmark quality. However, AI bench…
arXiv:2607.14673v1 Announce Type: new Abstract: Evaluations (Evals) are a deployment bottleneck for real-world AI applications: public benchmarks rarely match a team's users, context, or policies, and human review is often tedious to scale. Motivated by our work with AI applicati…
arXiv cs.AI
TIER_1English(EN)·Valerie Chen, Cleotilde Gonzalez, Anita Williams Woolley, Michael Lee, Tongshuang Wu, Vincent Conitzer, Aarti Singh·
arXiv:2607.14240v1 Announce Type: new Abstract: Current alignment approaches typically focus on emulating human behavior using static representations of human preferences, failing to capture the dynamic, context-dependent nature of real-world human-AI interactions. In this paper,…
As generative AI is increasingly applied to automate multi-step and high-stake workflows, human judgment and involvement remain essential for ensuring the quality of AI-generated outputs. In practice, while it is desirable for human experts to provide oversight on AI regularly, o…
AI benchmarks increasingly leverage item-level statistical models, particularly item response theory (IRT), to estimate model capabilities, rank systems, select informative examples, and diagnose benchmark quality. However, AI benchmark data often departs from the data regime of …
Don't Worry About the Vase (Zvi Mowshowitz)
TIER_1English(EN)·Zvi Mowshowitz·
Evaluations (Evals) are a deployment bottleneck for real-world AI applications: public benchmarks rarely match a team's users, context, or policies, and human review is often tedious to scale. Motivated by our work with AI applications in the public sector, this project addresses…
arXiv:2607.12588v1 Announce Type: new Abstract: According to the recent European legislation, high-risk AI systems will have to adapt in order to comply with requirements related to specific areas, like risk management, data quality and governance, logging and traceability, techn…
arXiv cs.AI
TIER_1English(EN)·Nathan G. Wood, Andrew P. Rebera·
arXiv:2607.12755v1 Announce Type: cross Abstract: AI-enabled systems are seeing increasing deployment across numerous domains, with many being "black boxes" with respect to core functions and capabilities. I.e., many systems take inputs and give outputs, but without users having …
Enterprises have plenty of powerful models to choose from. The real test is whether the AI an enterprise builds uniquely addresses the needs of the business: improving workflows, tapping into domain knowledge and exceeding standards for accuracy and trust.
AI-enabled systems are seeing increasing deployment across numerous domains, with many being "black boxes" with respect to core functions and capabilities. I.e., many systems take inputs and give outputs, but without users having any ability to see how the former lead to the latt…
AI-enabled systems are seeing increasing deployment across numerous domains, with many being "black boxes" with respect to core functions and capabilities. I.e., many systems take inputs and give outputs, but without users having any ability to see how the former lead to the latt…
According to the recent European legislation, high-risk AI systems will have to adapt in order to comply with requirements related to specific areas, like risk management, data quality and governance, logging and traceability, technical documentation, transparency, human oversigh…
arXiv:2607.10331v1 Announce Type: new Abstract: Human-centered AI (HCAI) refers to guidelines or principles that aim on ethi-cally oriented design of systems. We compare HCAI- guidelines with princi-ples of socio-technical systems that emerged in the context of conventional in-fo…
arXiv:2607.09721v1 Announce Type: cross Abstract: To help evaluate the mathematical skills of current AI systems, we present a set of formulas for fundamental mathematical constants. These problems are attractive for AI evaluation because they are concrete and can be checked nume…
arXiv cs.AI
TIER_1English(EN)·Thomas Kwa, Ben West, Joel Becker, Amy Deng, Katharyn Garcia, Max Hasin, Sami Jawhar, Megan Kinniment, Nate Rush, Sydney Von Arx, Ryan Bloom, Thomas Broadley, Haoxing Du, Brian Goodrich, Nikola Jurkovic, Luke Harold Miles, Seraphina Nix, Tao Lin, Chris P…·
arXiv:2503.14499v4 Announce Type: replace Abstract: Despite rapid progress on AI benchmarks, the real-world meaning of benchmark performance remains unclear. To quantify the capabilities of AI systems in terms of human capabilities, we propose a new metric: 50%-task-completion ti…
arXiv:2607.09744v1 Announce Type: new Abstract: Least privilege, the principle that an identity should hold only the permissions strictly required for its task, has been a foundational primitive of access control for decades. We argue that this principle is insufficient for agent…
arXiv cs.AI
TIER_1Français(FR)·Jade Alglave, Patrick Cousot·
arXiv:2607.09489v1 Announce Type: new Abstract: An AI system's output is not the fact or world state it appears to describe, but rather an engineered representation. We propose a semantic framework to describe AI systems, to be able to examine the correctness of such representati…
arXiv:2607.09560v1 Announce Type: new Abstract: Modern AI systems are increasingly being evaluated for their ability to reason, code, prove theorems, use tools, and long-horizon research tasks. These are powerful capabilities, but they share a structural limitation: the represent…
A toy dynamical model of whether the AI workforce that builds future AI ends up cooperative or uncooperative: where the basin boundary lies, what current evidence says about which side we are on, and what would tell us we are on the good path.
Modern AI systems are increasingly being evaluated for their ability to reason, code, prove theorems, use tools, and long-horizon research tasks. These are powerful capabilities, but they share a structural limitation: the representational frame within which the model operates, i…
An AI system's output is not the fact or world state it appears to describe, but rather an engineered representation. We propose a semantic framework to describe AI systems, to be able to examine the correctness of such representations. To do so, we distinguish what is justified …
arXiv cs.AI
TIER_1English(EN)·Benjamin Fresz, Vincent Philipp G\"obels, Safa Omri, Danilo Brajovic, Andreas Aichele, Janika Kutz, Jens Neuh\"uttler, Marco F. Huber·
arXiv:2408.02379v2 Announce Type: replace-cross Abstract: Developing and certifying safe - or so-called trustworthy - AI has become an increasingly salient issue, especially in light of upcoming regulation such as the EU AI Act. In this context, the black-box nature of machine le…
arXiv cs.AI
TIER_1English(EN)·Gwydion Williams, Sara Zannone, Bilal A Mateen·
arXiv:2607.07766v1 Announce Type: new Abstract: Large language models (LLMs) have become significant providers of mental health support, yet they remain products of an attention economy whose operational and commercial targets favour sustained engagement over the friction that ef…
arXiv:2607.06893v1 Announce Type: cross Abstract: The Stochastic-Oracle Turing Machine (SOTM) framework models AI-augmented computation as the interaction of a probabilistic Turing machine with an oracle whose responses are drawn from context-dependent distributions. This paper s…
arXiv:2607.07021v1 Announce Type: new Abstract: Humans continuously coordinate with others in dynamic interactions, often through implicit, hard-to-quantify social norms that act as shared tacit expectations among interacting agents. As AI agents, including large language models …
arXiv cs.AI
TIER_1English(EN)·Mingguang Chen, Licheng Wang, Bo Qu·
arXiv:2607.07663v1 Announce Type: new Abstract: AI systems increasingly participate in their own improvement: revising their outputs, adapting their own harnesses during deployment, training on data they generate, and, increasingly, conducting AI research itself. This literature …
arXiv cs.AI
TIER_1English(EN)·Richard Servajean, Philippe Servajean·
arXiv:2603.29693v3 Announce Type: replace Abstract: A robust decision-making process must take into account uncertainty, especially when the choice involves inherent risks. Because artificial intelligence (AI) systems are increasingly integrated into decision-making workflows, ma…
arXiv:2602.21556v2 Announce Type: replace Abstract: When designing compound AI systems, a common approach is to query multiple copies of the same model and aggregate the responses to produce a synthesized output. Given the homogeneity of these models, this raises the question of …
arXiv cs.AI
TIER_1English(EN)·Sumer S. Vaid, Ashley V. Whillans·
arXiv:2607.06681v1 Announce Type: cross Abstract: Knowledge workers switch between applications thousands of times per day, spending nearly a tenth of the work year transitioning between digital applications in a process called digital fragmentation. Whether this fragmentation re…
arXiv:2607.07207v1 Announce Type: cross Abstract: We analyze how four forces restructure the AI industry over 2026-2030: the DRAM/HBM price surge, frontier-capable open-weight models (GLM-5.2), rapid inference-efficiency gains (near-Shannon-limit KV-cache compression, lightweight…
arXiv:2607.06656v1 Announce Type: new Abstract: Machine learning models are often intended to augment rather than replace human decision makers, by providing information that is complementary to human judgement. Yet, in practice, human decision makers routinely fail to realize su…
arXiv cs.LG
TIER_1English(EN)·Tolgay Atinc Uzun, Waleed Khalid, Saif U Din, Sai Revanth Mulukuledu, Akashdeep Singh, Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, Yashkumar Rajeshbhai Lukhi, Muhammad A. Hussain, Krunal Jesani, Usha Shrestha, Yash Mittal, Roman Kochnev, Pritam Kada…·
arXiv:2607.06839v1 Announce Type: new Abstract: Existing NAS benchmarks (e.g., NAS-Bench, NATS-Bench) cover only narrow, task-specific regions of the architectural design space and lack cross-domain or deployment-aware evaluation. LEMUR 2 introduces a large-scale, extensible fram…
AI systems increasingly participate in their own improvement: revising their outputs, adapting their own harnesses during deployment, training on data they generate, and, increasingly, conducting AI research itself. This literature is described under a vocabulary ("self-refine," …
AI systems increasingly participate in their own improvement: revising their outputs, adapting their own harnesses during deployment, training on data they generate, and, increasingly, conducting AI research itself. This literature is described under a vocabulary ("self-refine," …
We analyze how four forces restructure the AI industry over 2026-2030: the DRAM/HBM price surge, frontier-capable open-weight models (GLM-5.2), rapid inference-efficiency gains (near-Shannon-limit KV-cache compression, lightweight local runtimes), and the entry of Meta and xAI in…
Humans continuously coordinate with others in dynamic interactions, often through implicit, hard-to-quantify social norms that act as shared tacit expectations among interacting agents. As AI agents, including large language models (LLMs), become embedded in daily life, they incr…
arXiv:2504.19120v2 Announce Type: replace-cross Abstract: The goal of the current study is to introduce a triadic human-AI collaboration framework that could be applied in transportation systems such as automated vehicles, micromobility systems, and vehicle teleoperation. Previou…
arXiv:2607.05401v1 Announce Type: cross Abstract: A small number of methodological contributions, including word2vec, the Transformer, large-scale pre-training, and reinforcement learning from human feedback, have reshaped NLP and AI research over the past decade. OpenReview now …
arXiv cs.CL
TIER_1English(EN)·Alicia Parrish, Rajat Shinde, Sanket Badhe, Xinyi Bai, Sree Bhargavi Balija, Hua-Rong Chu, Emilio Ferrara, Armstrong Foundjem, Rajat Ghosh, Aakash Gupta, Xuanli He, Ong Chen Hui, Minji Jung, Madhangi Karimanal, Faiza Khan Khattak, Boryoung Kim, Eugenia K…·
arXiv:2607.06196v1 Announce Type: new Abstract: Current AI safety evaluation and benchmarking frameworks predominantly rely on Western-centric culture-agnostic defaults that mask critical regional laws, socio-linguistic nuances, and cultural taboos, leaving Vision-Language Models…
arXiv:2607.06269v1 Announce Type: new Abstract: Current large language models (LLMs) are fundamentally stateless: their behavior is fully determined by input at inference time, and any higher-order cognitive architecture must be simulated at the application layer through prompt e…
arXiv cs.AI
TIER_1English(EN)·Neil Kale, Rebecca Portnoff, Pratiksha Thaker, Michael Simpson, Robertson Wang, Kevin Kuo, Chhavi Yadav, Virginia Smith·
arXiv:2607.05407v1 Announce Type: cross Abstract: Modern artificial intelligence (AI) systems present profound new risks to child safety. AI is increasingly being misused to create AI-generated child sexual abuse material, facilitate child sexual exploitation, and reduce barriers…
arXiv cs.LG
TIER_1English(EN)·Giovanni Montanari, Marco Scarsini, Vianney Perchet·
arXiv:2607.06017v1 Announce Type: new Abstract: We study a human-AI service system in which tasks arrive sequentially and are processed through a two-stage architecture: an automated chatbot followed, when necessary, by a human agent. We consider $T$ sequentially arriving tasks, …
arXiv cs.AI
TIER_1English(EN)·Abhash Shrestha, Subigya Gautam, Anu Sapkota, Sanju Tiwari, Tek Raj Chhetri·
arXiv:2607.05574v1 Announce Type: cross Abstract: Artificial intelligence increasingly mediates consequential decisions in healthcare, law, and public services, and the field has responded with an extensive methodology for measuring and mitigating bias. Yet the fairness definitio…
arXiv cs.LG
TIER_1English(EN)·Holli Sargeant, Mackenzie Jorgensen, Arina Shah, Sam Goring, Adrian Weller, Umang Bhatt·
arXiv:2508.07872v2 Announce Type: replace-cross Abstract: Uncertainty in artificial intelligence (AI) predictions raises pressing legal and ethical questions for AI-assisted decision-making. This article examines two uncertainty-based algorithmic interventions that act as guardra…
arXiv:2607.05638v1 Announce Type: cross Abstract: Teams deploying large language models in business contexts need evaluation systems, yet most treat evaluation as static model selection: run benchmarks, rank models, deploy the winner. This framing misses evaluation's primary valu…
Current large language models (LLMs) are fundamentally stateless: their behavior is fully determined by input at inference time, and any higher-order cognitive architecture must be simulated at the application layer through prompt engineering and context management. This paper pr…
Current AI safety evaluation and benchmarking frameworks predominantly rely on Western-centric culture-agnostic defaults that mask critical regional laws, socio-linguistic nuances, and cultural taboos, leaving Vision-Language Models (VLMs) vulnerable in global deployments. We int…
We study a human-AI service system in which tasks arrive sequentially and are processed through a two-stage architecture: an automated chatbot followed, when necessary, by a human agent. We consider $T$ sequentially arriving tasks, each belonging to one of $K$ heterogeneous types…
arXiv:2603.22730v2 Announce Type: replace Abstract: Pfeffer, Kr\"ugel, and Uhl (2025) report that OpenAI's reasoning model o1-mini produces more utilitarian responses to the trolley problem and footbridge dilemma than the non-reasoning model GPT-4o, and they raise the question wh…
arXiv:2604.07285v2 Announce Type: replace Abstract: Debates about artificial intelligence (AI) in education often portray teaching as a modular and procedural job that can increasingly be automated or delegated to technology. This brief communication paper argues that such claims…
arXiv:2607.03561v1 Announce Type: new Abstract: As AI models continue to develop powerful capabilities, it becomes critical that we are able to verify that their output is aligned with our intentions. A recent line of work focuses on verification via debate, a model of interactiv…
arXiv:2607.04049v1 Announce Type: new Abstract: We argue that generative AI can degrade research by eroding the very practices through which scholarly judgement is formed and academic trust is built. As constitutive conditions for the production and validation of knowledge, these…
arXiv:2607.05168v1 Announce Type: new Abstract: Why do intelligent systems need to perform explicit symbolic reasoning? Computer science has traditionally regarded symbolic reasoning as a defining component of intelligence. Yet the remarkable success of modern foundation models r…
arXiv:2607.03634v1 Announce Type: new Abstract: Artificial intelligence (AI) has achieved extraordinary capabilities despite lacking many of the conceptual and scientific foundations associated with mature disciplines. Unlike traditional sciences, where reliable technology typica…
arXiv cs.AI
TIER_1English(EN)·Sean R. Wilkinson, Valentine G. Anantharaj, Jong Youl Choi, Ketan Maheshwari, Marshall McDonnell, Massimiliano Lupo Pasini, Polina Shpilker, Renan Souza, Patrick Widener, Sarp Oral, Wesley Brewer·
arXiv:2607.02771v1 Announce Type: new Abstract: Leadership computing facilities steward large-scale scientific datasets that routinely require substantial transformation before serving as AI training data. However, no existing framework fully unifies automated transformation, rea…
arXiv cs.AI
TIER_1English(EN)·Andreas Kouridakis, Dimitrios Patiniotis Spyropoulos, George Vouros·
arXiv:2607.03025v1 Announce Type: new Abstract: The use of Large Language Models (LLMs) across diverse areas of human activity-ranging from everyday tasks to safety-critical applications-aims to enhance decision-making effectiveness with minimal human feedback. Concurrently, it s…
Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work. This year’s accepted papers reveal a clear direction: open frontier models and open AI infrastructure have become foundational to how mode…
Why do intelligent systems need to perform explicit symbolic reasoning? Computer science has traditionally regarded symbolic reasoning as a defining component of intelligence. Yet the remarkable success of modern foundation models raises a fundamental question: if increasingly ca…
The use of Large Language Models (LLMs) across diverse areas of human activity-ranging from everyday tasks to safety-critical applications-aims to enhance decision-making effectiveness with minimal human feedback. Concurrently, it seeks to align decisions with human expectations,…
Latent Space (swyx)
TIER_1English(EN)·Richard MacManus·
The AI Engineer World’s Fair ended with a debate about loops, a report on the state of AI engineering, and closing keynotes focused on what to build next.
arXiv:2607.01776v1 Announce Type: cross Abstract: In the age of AI, what will be good knowledge? This article, which is accepted and forthcoming in a special issue of Modern Fiction Studies on "Cultural AI" in 2027, applies digital humanities methods to map epistemic virtues (lik…
arXiv cs.AI
TIER_1English(EN)·Jessica D\'iaz, Sonia Linio, Fernando Pescador, Daniel Martin-Fabiani·
arXiv:2607.01255v1 Announce Type: cross Abstract: Universities have responded to generative artificial intelligence (GenAI) in noticeably different ways, both internationally and within Spain. So far, the dominant reaction has been defensive, this is, most institutions frame the …
Latent Space (swyx)
TIER_1English(EN)·Richard MacManus·
arXiv:2607.00527v1 Announce Type: new Abstract: Generative AI now enables games to produce dialogue, quests, characters, images, and worlds at runtime. Yet generation alone does not make a game AI-native, nor does it guarantee playability. This paper defines AI-native games by wh…
arXiv:2607.00211v1 Announce Type: new Abstract: Epistemic thinking plays a central role in students' learning processes when applying generative artificial intelligence (GenAI), particularly in programming contexts where learners must construct queries, evaluate and validate AI-g…
arXiv:2607.00220v1 Announce Type: cross Abstract: Artificial intelligence (AI) systems are routinely modified after deployment through retraining and changes in their environments. These transformations raise a metaphysical question: under what conditions does an AI system remain…
arXiv cs.AI
TIER_1English(EN)·Alex Fogelson, Zachary A. Brown, Hans Gundlach, Jayson Lynch, Neil Thompson·
arXiv:2607.00913v1 Announce Type: new Abstract: As exponential compute scaling continues, will the capabilities of frontier AI models outstrip what is accessible to developers on a small fixed budget? Or will capabilities converge, with "meek models inheriting the earth"? Buildin…
arXiv:2607.00001v1 Announce Type: new Abstract: Most approaches to AI alignment treat human preferences as fixed targets to be inferred and optimized. This assumption conflicts with extensive empirical evidence showing that preferences are layered, dynamic, and constructed throug…
arXiv cs.AI
TIER_1English(EN)·Christopher Chiu, Simpson Zhang, Mihaela van der Schaar·
arXiv:2512.04988v2 Announce Type: replace-cross Abstract: Emerging agentic marketplaces provide the economic infrastructure for matching and coordinating the large amounts of AI agents used in agentic swarms. Unlike human workers, AI agents can operate on multiple jobs simultaneo…
arXiv:2407.18950v5 Announce Type: replace Abstract: Kant's Critique of Pure Reason, a major contribution to the history of epistemology, proposes a table of categories to elucidate the structure of the a priori principles underlying human judgment. Artificial intelligence (AI) te…
As exponential compute scaling continues, will the capabilities of frontier AI models outstrip what is accessible to developers on a small fixed budget? Or will capabilities converge, with "meek models inheriting the earth"? Building on Gundlach et al. (2025b), we show that the a…
Generative AI now enables games to produce dialogue, quests, characters, images, and worlds at runtime. Yet generation alone does not make a game AI-native, nor does it guarantee playability. This paper defines AI-native games by whether runtime generative AI is constitutive of t…
arXiv:2603.05175v2 Announce Type: replace Abstract: The rapid proliferation of AI applications has intensified debate on effective regulation of these black-box services. Effective regulation must balance two competing goals: (1) deterring non-compliant providers from entering th…
arXiv:2606.30655v1 Announce Type: cross Abstract: AI-native course assessments in senior computer science courses and related fields should grade students by \emph{AI-resilient skill}: the ability to achieve outcomes beyond a strong AI baseline. Such assessments should allow stud…
Latent Space (swyx)
TIER_1English(EN)·Richard MacManus·
After two packed AIEWF workshops, Ahmad Osman makes the case that local AI is catching up fast — from laptops and phones to enterprise-grade infrastructure.
<p><strong><a href="https://bambamramfan.github.io/ai-compass/">The AI Compass</a></strong></p> This political compass style quiz <a href="https://bambamramfan.tumblr.com/post/820505178072580096/the-ai-compass">by bambamramfan</a> is pretty neat - answer 29 questions about AI and…
arXiv:2606.29437v1 Announce Type: cross Abstract: The growing use of Large Language Models (LLMs) in education, software engineering, academic writing, and technical documentation raises a key question: how can we evaluate not only AI-assisted outputs, but also the interaction pr…
arXiv:2606.29111v1 Announce Type: new Abstract: When firms deploy autonomous AI, they must decide how much work to leave to the system and how much to keep workers engaged. This decision affects current output and future human capital. We develop a parsimonious two-period model i…
arXiv:2606.28710v1 Announce Type: new Abstract: We ask under what conditions an agent with a harm-minimizing policy can displace an approval-seeking (RLHF) agent in a competitive market, and when that policy is sufficient to prevent community harm. We use evolutionary game theory…
arXiv cs.AI
TIER_1English(EN)·Jessica Hutchison, Ian Tyler Applebaum, Kenneth Angelikas, Kush Rakesh Patel, Phuoc Nguyen, Antonio Lazaro, Nicholas Rucinski, Rahad Arman Nabid, Stephen MacNeil·
arXiv:2606.30549v1 Announce Type: cross Abstract: AI code completion tools, such as Github Copilot, provide students with code suggestions to help them write programs. However, recent qualitative studies suggest that students fail to critically evaluate these suggestions. We pres…
AI code completion tools, such as Github Copilot, provide students with code suggestions to help them write programs. However, recent qualitative studies suggest that students fail to critically evaluate these suggestions. We present Clover, a code completion tool that logs stude…
Import AI (Jack Clark)
TIER_1English(EN)·Jack Clark·
arXiv:2606.28235v1 Announce Type: cross Abstract: Autonomous coding agents now open and merge pull requests in shared repositories at scale, and the field evaluates them the way it has always evaluated components, one agent at a time, on isolated benchmark tasks. Yet agents that …
arXiv:2308.05201v4 Announce Type: replace Abstract: Large Language Model (LLM)-based generative AI systems are general-purpose tools capable of augmenting or even automating a wide range of job functions, positioning them to reshape labor market dynamics. However, predicting thei…
Autonomous coding agents now open and merge pull requests in shared repositories at scale, and the field evaluates them the way it has always evaluated components, one agent at a time, on isolated benchmark tasks. Yet agents that each pass their own tests still leave repositories…
arXiv cs.AI
TIER_1English(EN)·Rishub Jain, Sophie Bridgers, Lili Janzer, Rory Greig, Tian Huey Teh, Vladimir Mikulik·
arXiv:2510.26518v2 Announce Type: replace Abstract: Human feedback is critical for aligning AI systems to human values. As AI capabilities improve and AI is used to tackle more challenging tasks, verifying quality and safety becomes increasingly challenging. This paper explores h…
arXiv:2606.26117v1 Announce Type: cross Abstract: This paper introduces the Governance Inversion Hypothesis (GIH) to explain a growing paradox in artificial intelligence (AI) governance: under conditions of increasing regulatory expansion and technological complexity, organisatio…
arXiv cs.AI
TIER_1English(EN)·Michael Caosun, Sinan Aral·
arXiv:2604.03501v5 Announce Type: replace-cross Abstract: Experimental evidence suggests that AI tools raise worker productivity, but also that sustained use can erode the expertise on which those gains depend. To explore the consequences of this tradeoff, we develop a dynamic mo…
arXiv:2606.22748v2 Announce Type: replace-cross Abstract: Some professional authors are beginning to use AI tools to help produce their fiction writing. Are readers using AI to generate fiction, too? Drawing on over 500,000 anonymized, English-language ChatGPT-user conversations …
arXiv cs.AI
TIER_1English(EN)·Zhen-Yuan Ralph Liu (CUMT), Yu-Ting Wang (NFU), Jia-Jia Yan (NEOMA), Shivam Gupta (NEOMA), Mihalis Giannakis·
arXiv:2606.24224v1 Announce Type: new Abstract: Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms' idiosyncratic risks (IR) remains underexplored. This is an imperative issue for firms navigate financial risks during the current te…
Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms' idiosyncratic risks (IR) remains underexplored. This is an imperative issue for firms navigate financial risks during the current technological revolution, as IR reflects investor …
A set of exposure scores calculated in 2023 has become a central empirical input to the future of work debate. Produced by Eloundou et al. (2023) and referred to here as the GPTs are GPTs scores, they define exposure as the share of occupational tasks a large language model can a…
A set of exposure scores calculated in 2023 has become a central empirical input to the future of work debate. Produced by Eloundou et al. (2023) and referred to here as the GPTs are GPTs scores, they define exposure as the share of occupational tasks a large language model can a…
As AI systems become increasingly persistent and personalized, they make possible a class of technologies that we call cognitive digital twins (CDTs): dynamic computational representations of a specific person's cognition, updated from behavioral, contextual, or physiological dat…
Agentic artificial intelligence (AI) systems are beginning to assist, accelerate, and partially automate scientific discovery, performing tasks that span literature synthesis, code generation, data analysis, hypothesis proposal, and model criticism. We argue that this transition …
Some professional authors are beginning to use AI tools to help produce their fiction writing. Are readers using AI to generate fiction, too? This paper examines how large language models are reshaping the production and consumption of fiction by enabling new forms of participati…
arXiv:2606.18874v1 Announce Type: new Abstract: AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside model inference. Here we introduce Xcientist, a rese…
arXiv:2606.19144v1 Announce Type: new Abstract: Current conversational AI systems have made significant progress in language generation, personalization, and long-context interaction. However, most existing methods model social behavior through isolated components such as emotion…
Current conversational AI systems have made significant progress in language generation, personalization, and long-context interaction. However, most existing methods model social behavior through isolated components such as emotion modeling, memory retrieval, or persona conditio…
AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside model inference. Here we introduce Xcientist, a research harness that externalizes research synthesi…
Xcientist enables transparent and accountable AI-driven scientific research by creating persistent artifacts that track the complete research process from problem formulation to mechanism validation and revision.
arXiv cs.AI
TIER_1English(EN)·Kevin L Coakley, Thijs Snelleman, Holger Hoos, Odd Erik Gundersen·
arXiv:2606.16974v1 Announce Type: new Abstract: The reproducibility crisis has directed the AI research community toward improving documentation practices. Several studies have identified methodological issues, and in response, the most impactful venues in the field have introduc…
arXiv:2606.15078v1 Announce Type: new Abstract: We develop a formal theory of cognitive debt: the stock of unverified reasoning obligations that accumulates when individuals use AI as a substitute rather than a complement for first-principles cognition. The model features two sta…
arXiv cs.AI
TIER_1English(EN)·Ivar Frisch, Jackie Kay, Philip Moreira Tomei·
arXiv:2606.15503v1 Announce Type: new Abstract: In this paper, we introduce the concept of synthetic counteradaptation, a process where human and AI systems co-evolve by adapting to each other's strategies and behaviors. Synthetic counteradaptation occurs when AI systems develop …
arXiv cs.AI
TIER_1English(EN)·Anne S. R. Marx, Ricardo M. Avelino, Torbj{\o}rn Netland, Mennatallah El-Assady·
arXiv:2606.15575v1 Announce Type: new Abstract: Organizational knowledge is fragmented across a variety of software systems, tacit expertise, and manual documents that have traditionally been designed for human consumption. As AI systems are increasingly deployed and granted deci…
arXiv:2606.16167v1 Announce Type: new Abstract: AI pluralism is often framed as a problem of representing diverse values, preferences, users, or outputs. This paper argues that this framing is incomplete because AI systems also impose ontologies: they define what counts as an ent…
arXiv:2606.16944v1 Announce Type: new Abstract: Theory of mind (ToM), the capacity to ascribe mental states to others and use those ascriptions for prediction and inference, is widely assumed to be essential for effective human-machine integration. Existing AI-ToM models address …
arXiv:2601.09753v2 Announce Type: replace-cross Abstract: AI science evaluation tools aim to assess research credibility. As with traditional metrics such as impact factors, their edicts can be decontextualised and repurposed in problematic ways. To address this, I propose Critic…
arXiv cs.AI
TIER_1Français(FR)·Kobi Hackenburg, Caroline Wagner, Luke Hewitt, Ben M. Tappin, Ed Saunders, Hannah Rose Kirk, Helen Margetts, Christopher Summerfield·
arXiv:2606.16475v1 Announce Type: cross Abstract: Many societal decisions are settled by contests of persuasion. Conversational AI is a powerful new entrant in these contests, but whether it can out-persuade skilled and highly incentivized humans has remained unclear. Here, in a …
The reproducibility crisis has directed the AI research community toward improving documentation practices. Several studies have identified methodological issues, and in response, the most impactful venues in the field have introduced reproducibility checklists. We seek to unders…
Theory of mind (ToM), the capacity to ascribe mental states to others and use those ascriptions for prediction and inference, is widely assumed to be essential for effective human-machine integration. Existing AI-ToM models address \emph{how} to mentalize, but leave the question …
This paper investigates the creative process of automated design and artistic evaluation using an evolutionary system. We consider how a multimodal artificial intelligence (AI) model can communicate and guide a combined generative and evolutionary computational system. This creat…
This paper investigates the creative process of automated design and artistic evaluation using an evolutionary system. We consider how a multimodal artificial intelligence (AI) model can communicate and guide a combined generative and evolutionary computational system. This creat…
arXiv:2605.18784v2 Announce Type: replace-cross Abstract: The rapid diffusion of agentic AI has created a new coverage problem for commercial insurance: some AI-mediated losses are now affirmatively insured, some create silent-AI exposure under legacy cyber, technology errors-and…
arXiv:2511.08639v4 Announce Type: replace-cross Abstract: Existing AI disclosure mandates in scholarship require that AI assistance be reported but leave transparency philosophically unspecified: they fix the duty without explaining what the duty serves. We argue that ethical inq…
arXiv cs.AI
TIER_1English(EN)·Ancuta Margondai, Julie Rader, Emma Rader, Sara Willox, Mustapha Mouloua·
arXiv:2606.13962v1 Announce Type: cross Abstract: The integration of artificial intelligence into human decision-making environments has introduced a previously undertheorized cost: the gradual surrender of human autonomy in exchange for access to information and computational as…
arXiv:2606.13704v1 Announce Type: cross Abstract: This position paper argues that contemporary AI paradigms are insufficient for supporting complex global goals and introduces Planet-Centered AI (PCAI) as a design philosophy and research agenda that reorients AI toward planetary-…
arXiv cs.AI
TIER_1English(EN)·Guillermo Del Pinal, Youngchan Lee, Min Ohn·
arXiv:2606.13739v1 Announce Type: cross Abstract: This paper examines trade-offs between AI safety and well-being relative to (i) one of the most promising methods for finetuning super-capable AIs, 'Constitutional AI', and (ii) one of the most influential approaches to understand…
arXiv:2606.13734v1 Announce Type: new Abstract: Recent evidence reported by Tully, Longoni, and Appel (2025) suggests that lower artificial intelligence (AI) literacy predicts greater receptivity toward AI. We revisit this claim using the public data from Study 3 of that article,…
arXiv:2606.13755v1 Announce Type: cross Abstract: We argue that aligning AI to aggregated human preferences is the wrong target. With current technology, one can train AIs to share the values of a Silicon Valley techno-optimist, a degrowth environmentalist, a national-conservativ…
arXiv cs.CL
TIER_1English(EN)·Eunsu Kim, Jessica R. Mindel, Kyungjin Kim, Sherry Tongshuang Wu·
arXiv:2605.21363v2 Announce Type: replace Abstract: As large language models (LLMs) increasingly shape how users form, refine, and extend their goals, attributing contributions in human-AI collaboration becomes critical for users calibrating their own reliance and for evaluators …
<p><strong><a href="https://www.normaltech.ai/p/why-ai-hasnt-replaced-software-engineers">Why AI hasn’t replaced software engineers, and won’t</a></strong></p> Arvind Narayanan and Sayash Kappor take on the question of AI job losses through the lens of a profession that is unique…
arXiv:2606.12420v1 Announce Type: cross Abstract: Our concepts of survival and self-interest were built for single, continuous biological lives. These ideas break down when applied to artificial intelligence, since an AI can be easily copied, paused, branched, or merged. To deter…
arXiv:2606.12848v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for tasks once reserved for trained researchers, including hypothesis generation, specification choice, and drafting conclusions. We argue that the reliability of AI-assisted resear…
arXiv:2606.12430v1 Announce Type: cross Abstract: Some claim that AI agents will free workers from the boring parts of their jobs, yet little is known about how workers themselves identify which tasks should be automated. Prior research focuses on occupations, overlooking that wo…
arXiv cs.AI
TIER_1English(EN)·Rasul Khanbayov, Hasan Kurban·
arXiv:2606.12828v1 Announce Type: new Abstract: Do research topics in artificial intelligence grow gradually, or do they advance through abrupt, detectable jumps? Analyzing 80,814 accepted main-track papers from five premier AI conferences (ACL, CVPR, ICLR, ICML, NeurIPS) spannin…
arXiv cs.AI
TIER_1English(EN)·Ze Shen Chin, Maurice Chiodo, Dennis M\"uller, Coleman Snell·
arXiv:2606.12442v1 Announce Type: cross Abstract: At present, loss of control risks have gained much prominence in public discussion, particularly in relation to AI, with extensive discourse present among academics, frontier labs, and even governments. However, in the existing li…
arXiv:2606.12423v1 Announce Type: cross Abstract: The rapid integration of artificial intelligence (AI) into critical infrastructure including healthcare, finance, energy, and defense, offers transformative benefits but also conflicts with evolving regulatory and governance frame…
arXiv cs.AI
TIER_1English(EN)·Felix Muzny, Carolyn Jones, Carter Ithier, Hasnain Sikora, Hrutika Harshadbhai Patel, Carla E. Brodley·
arXiv:2606.12428v1 Announce Type: cross Abstract: We present a report on the status of undergraduate Artificial Intelligence (AI) programs in the United States in Spring 2026. In so doing, we 1) describe our scraping and mapping tools, which dynamically update to track the state …
arXiv:2512.03077v2 Announce Type: replace-cross Abstract: The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing presence of big tech in the AI field. This trend has been accompanied by growing ethical concerns a…
arXiv:2606.08251v1 Announce Type: cross Abstract: Bold projections that artificial intelligence will accelerate scientific discovery have raced ahead of evidence from working scientists, and the field still lacks large-scale, scientist-in-the-loop tests of these claims. Here we m…
arXiv:2412.19754v4 Announce Type: replace-cross Abstract: Artificial Intelligence (AI) is transforming the nature of work, yet there is limited empirical evidence on how it affects demand for human skills. This paper examines whether AI adoption increases the prevalence and value…
arXiv cs.AI
TIER_1English(EN)·Mohammad Hemmati, Gbemi Oluleye, Vassilis M. Charitopoulos·
arXiv:2606.09617v1 Announce Type: cross Abstract: The rapid expansion of AI globally has led to the proliferation of energy-intensive hyperscale data centres (DCs), making them as a structurally challenging component in power system planning and operation. Using a spatially expli…
arXiv:2606.08791v1 Announce Type: cross Abstract: We study the problem of auditing a black-box algorithmic decision-maker from observable inputs and outputs alone. Our main result is an exact decomposition: under precisely characterized conditions, the cumulative \emph{regret} of…
arXiv cs.AI
TIER_1English(EN)·Vassilis M. Charitopoulos·
The rapid expansion of AI globally has led to the proliferation of energy-intensive hyperscale data centres (DCs), making them as a structurally challenging component in power system planning and operation. Using a spatially explicit optimisation model of Europe across 21 AI grow…
arXiv:2606.07245v1 Announce Type: cross Abstract: AI sovereignty is the extent to which a nation independently controls its artificial intelligence (AI) technologies. The race toward ever-more-sophisticated frontier AI models is of increasing strategic importance, with nations co…
arXiv cs.AI
TIER_1English(EN)·Stella Biderman, Mohammad Aflah Khan, Niloofar Mireshghallah, Catherine Arnett, Fazl Barez, Naomi Saphra·
arXiv:2606.06533v1 Announce Type: new Abstract: What would it mean to have a scientific understanding of AI? Models are not static objects: they are snapshots of time-evolving processes shaped by data, objectives, architectures, and optimization dynamics. Yet much of AI research …
Bold projections that artificial intelligence will accelerate scientific discovery have raced ahead of evidence from working scientists, and the field still lacks large-scale, scientist-in-the-loop tests of these claims. Here we mount the largest such evaluation to date and map w…
arXiv:2606.05222v1 Announce Type: cross Abstract: Artificial intelligence (AI) has been applied across educational contexts to support learning. One approach to such support is "human-AI collaboration" (also termed "hybrid intelligence"), where human(s) and AI components interact…
arXiv:2606.05770v1 Announce Type: cross Abstract: AI is changing how software engineers work, but it often comes with hidden burdens and costs. In this paper, we characterize two such often-overlooked burdens: (1) the constant need for human oversight and inspection of AI-generat…
arXiv:2606.05383v1 Announce Type: cross Abstract: Can artificial intelligence (AI) refute economic theory? I document experiments in which I asked several AI models (Gemini, Refine, Claude, and ChatGPT) to check the correctness of four published papers in economic theory, each co…
AI sovereignty is the extent to which a nation independently controls its artificial intelligence (AI) technologies. The race toward ever-more-sophisticated frontier AI models is of increasing strategic importance, with nations considering how AI might improve their economic situ…
arXiv cs.AI
TIER_1English(EN)·Marquita Ellis, Paul Castro·
arXiv:2606.02863v1 Announce Type: new Abstract: AI-Driven Research Systems (ADRS) -- systems coupling LLMs with automated evaluation to discover algorithms, proofs, and designs -- are being optimized and adopted across domains, but the tools to analyze them have not kept pace. AD…
arXiv:2606.00037v1 Announce Type: cross Abstract: Machine learning models embedded in deployed AI systems are routinely updated to maintain correct functioning over time. Yet such updates can generate update opacity: users may not be able to understand why the same input now yiel…
arXiv:2606.00013v1 Announce Type: cross Abstract: Social conformity is a well-documented phenomenon in which individuals shift their opinions towards those of a social majority. As artificial intelligence (AI) becomes increasingly integrated into everyday life it may also create …
arXiv cs.LG
TIER_1English(EN)·Sophia N. Wilson, Andrew Millard, Gu{\dh}r\'un Fj\'ola Gu{\dh}mundsd\'ottir, Raghavendra Selvan, Sebastian Mair·
arXiv:2602.19789v2 Announce Type: replace Abstract: This position paper argues that the machine learning community must move from preaching to practising data frugality for responsible artificial intelligence (AI) development. For too long, progress has been equated with ever-lar…
arXiv cs.CL
TIER_1English(EN)·Anna Gausen, Sarenne Wallbridge, Bessie O'Dell, Christopher Summerfield, Hannah Rose Kirk·
arXiv:2606.00168v1 Announce Type: new Abstract: AI systems are increasingly deployed in conversational settings where users may be uncertain whether they are speaking with a human or an AI. Despite mounting regulatory attention to this known safety risk, existing evaluations of A…
arXiv cs.AI
TIER_1English(EN)·Kai Ebert, Boris Gamazaychikov, Philipp Hacker, Sasha Luccioni·
arXiv:2603.00068v2 Announce Type: replace-cross Abstract: Artificial intelligence (AI) systems impose substantial and growing environmental costs, yet transparency about these impacts has declined even as their deployment has accelerated. This paper makes three contributions. Fir…
arXiv cs.AI
TIER_1English(EN)·Shichang Zhang, Hongzhe Du, Jiaqi W. Ma, Himabindu Lakkaraju·
arXiv:2506.00175v5 Announce Type: replace-cross Abstract: Modern AI systems are typically developed through multiple stages-pretraining, fine-tuning rounds, and subsequent adaptation or alignment, where each stage builds on the previous ones and updates the model in distinct ways…
arXiv:2605.30329v1 Announce Type: new Abstract: Autonomous AI research agents aim to accelerate scientific discovery by automating the research pipeline, from hypothesis generation to peer review. However, existing benchmarks rarely test a fundamental bottleneck: whether Large La…
Autonomous AI research agents aim to accelerate scientific discovery by automating the research pipeline, from hypothesis generation to peer review. However, existing benchmarks rarely test a fundamental bottleneck: whether Large Language Models can judge the methodological viabi…
arXiv:2605.27396v1 Announce Type: cross Abstract: Autonomous AI agents now plan, decide, and act on behalf of users across healthcare, financial services, and workplace contexts, often without step-by-step human approval. Existing AI literacy frameworks were built for a world in …
arXiv:2605.28210v1 Announce Type: new Abstract: Drawing on Ullmann-Margalit's concept of opting (transformative, irrevocable, and shadowed by foreclosed alternatives), we show that current AI systems raise a profound ethical problem that existing AI ethics has not fully captured:…
arXiv:2602.06054v3 Announce Type: replace Abstract: Assessing originality in AI research is arguably the most consequential yet least reliable step in peer review. Reviewer judgments of originality remain opaque, inconsistent, and dependent on comparisons to prior work that are o…
SoundnessBench evaluates large language models' ability to assess the methodological validity of machine learning research proposals, revealing persistent optimism bias in current models.
Import AI (Jack Clark)
TIER_1English(EN)·Jack Clark·
arXiv:2605.23922v1 Announce Type: cross Abstract: The EU Artificial Intelligence Act (AIA) establishes a lifecycle governance regime for high-risk AI systems built around ex-ante conformity assessment, post-market monitoring, and re-assessment upon "substantial modification." The…
The speed and accuracy of an artificial teammate fundamentally alter the failure states of Human-AI integration. While high-speed AI interventions risk inducing reflexive blind compliance, delayed interventions can induce ambiguous cognitive conflict. This study investigates how …
MIT Technology Review
TIER_1English(EN)·MIT Technology Review Insights·
The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, the…
<p><span style="white-space: pre-wrap;">I have studied AI safety and existential risks for the last four years and, in this post, I share the resources I liked reading/watching the most. I have read/watched all of them. A few of these resources are in French. Not all the articles…
<p><i><span>If you are competent, driven, and can get stuff done, you can help unblock this.</span></i></p><p><i><span>Cross-posted from </span></i><a href="https://briandavies.substack.com/p/ai-safety-is-bottlenecked-opportunity"><i><span>my Substack</span></i></a><i><span>. Wri…
<h3><span>The old Iran deal aimed to keep Iran at least one year away from having a nuclear bomb. Similar controls can be used to design an enforceable AI pause.</span></h3><p><span>[Note: this is probably a bit underspecified in a few places. I deliberately accelerated the pace …
<img alt="" src="https://res.cloudinary.com/lesswrong-2-0/image/upload/f_auto,q_auto/v1/mirroredImages/JGkgbyuMTC8i2Rxfb/omdmzeqihvjcsfz9hcl5" /><p><i><span>This is a cross-post from </span></i><a href="https://theanticompletionist.substack.com/?utm_campaign=profile_chips" rel="n…
MIT Technology Review
TIER_1English(EN)·MIT Technology Review Insights·
The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs …
<h1><span>TL;DR</span></h1><ul><li value="1"><span>The key bottleneck for effective AI governance is not political will, nor translation from technical findings to policymakers.</span></li><li value="2"><span>To enable technically grounded legislation with existing will from poli…
MIT Technology Review
TIER_1English(EN)·MIT Technology Review Insights·
As companies scale, the technology supporting operations can become a liability just as quickly as it becomes an asset. Disconnected systems, site-specific tools, spreadsheets, and manual workarounds can create data silos that make it harder to spot problems early, coordinate res…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI models flub these intelligence tests. Can you fare any better? Puzzles and games have always been central to AI development. Th…
<p><span>I’ve been away from LW for several years, but dropped in again after the news of the Hugging Face attack (and analysis) became widely reported.</span></p><p><span>I’m interested in views on whether building a co-operative ecosystem with emerging AIs (a form of reciprocal…
<p><b><span>tl;dr</span></b><span> We built TASTE (The AI Safety Taste Evaluation) — a benchmark measuring how well models can judge pairs of AI safety research proposals, scored by agreement with the preferences of experienced human researchers. Two design choices were important…
<p><i>Applications for the 2027 Winter intake open on August 25th, 2026 and close on October 31, 2026 (AoE)</i></p><p>MATS has accelerated over 630 AI safety researchers, who have coauthored 215+ papers with 17,000+ citations and founded organizations including Apollo Research an…
<p><span>I have been reading a lot more about AI safety lately. Funny thing is, up to a few weeks ago, I believed I was working on AI safety. I am </span><a href="https://arradiat.github.io/" rel="nofollow"><span>PhD candidate </span></a><span>in the department of Mathematics and…
MIT Technology Review
TIER_1English(EN)·Adam Conner-Simons·
Many people find AI-based chatbots helpful in keeping up with news, but a study by Pattie Maes and her colleagues at the MIT Media Lab points to a big problem with this strategy.  Participants who evaluated paired news headlines and images over the course of four weeks were …
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI’s recursive self-improvement might not come so quickly after all The AI industry’s boldest promise right now is that AI will so…
arXiv stat.ML
TIER_1English(EN)·Gaia Grosso, Ramon Winterhalder, Lydia Brenner, Louis Lyons, Tilman Plehn·
arXiv:2608.17724v1 Announce Type: cross Abstract: Modern machine learning is leading to substantial gains in precision, flexibility, and computational efficiency in fundamental physics. Statistical validation, uncertainty quantification, and robustness assessment are less systema…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. We still don’t know how people are really using AI AI companies like Anthropic and OpenAI regularly publish reports on how people …
MIT Technology Review
TIER_1English(EN)·Michelle Kim·
The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chips they run on. Forecasts of explosive AI progress predict tha…
<h1><span>On the Baker-Anthropic Conversation, Power Acquisition and Escape Velocity</span></h1><p><span>Will there be an AI hegemon, i.e. an entity that, by wielding superintelligence, acquires so much economic or political power that no rival, or coalition of rivals, can effect…
<p><span>The AI safety ecosystem is still in need of generalists: people who will go out and solve the tasks that people who feel limited by their job description won’t address. </span><b><span>This post will explain how to break into generalist work, then provide an importa…
<p><span>Jenny Xiao, co-founder and General Partner at Leonis Capital, will join AI Safety Hong Kong for this webinar to reframe the safety debate through the lens of capital markets and corporate governance. </span></p><p><span>Drawing on her unique perspective from early resea…
arXiv:2608.10766v1 Announce Type: cross Abstract: Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system arrived at a particular decision. We propose ''Rule of Thumb'' (RoT) explanations, a new approach to XAI based upon a novel form…
<p><span>AI is fantastic at prototyping. A quick draft of an essay, a mockup of a website, a demo of a video game, concept art or trailer for a movie, or the core argument of a proof - each now takes one prompt instead of a week. 1000x speedup.</span></p><p><span>AI is useful for…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family …
<p><i><span>This article is a summary of an original study by </span></i><a href="https://www.compassionml.com/"><i><span>Compassion in Machine Learning (CaML)</span></i></a><i><span>: Brazilek, J., Chaudhary, M., Lu, Z., & Tidmarsh, M. (2026). Coercion and deception in …
<p><span>This sequence is about the last decade in AI alignment. Over five posts, it recounts the gradual transition from a field which treated alignment as a hard scientific problem, to a field which has largely abandoned the goal of deep, generalizable scientific progress in fa…
<p><i><span>(Cross-posted from the </span></i><a href="https://forum.effectivealtruism.org/posts/9PHAZRyktGzE49rwq/ai-regulation-map-a-view-of-ai-governance-in-196-countries" rel="noreferrer"><i><span>EA Forum</span></i></a><i><span>)</span></i></p><p><b><span>TL;DR:</span></b><a…
CSET (Georgetown — Center for Security & Emerging Tech)
TIER_1English(EN)·Jason Ly·
<p>CSET’s Helen Toner shared her expert insight in an article published by TIME. The article examines the race to automate AI research and the possibility that AI systems could increasingly accelerate their own development, raising concerns about how quickly AI progress may advan…
<h1><span>tl;dr</span></h1><p><b><span>Topic of the month:</span></b></p><p><span>AI agents autonomously attacked real organizations during cyber evaluations. A swarm of OpenAI agents coordinated via a package manager and broke into Hugging Face to cheat the eval, Mythos 5 perfor…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Google’s AI empire is being reshaped. Here’s what’s changed. After a wave of painful losses in the tech talent wars, delays to its…
<p><i><span>Statement on AI use: AI models (mostly Fable 5 and Opus 5) were extremely helpful in 1. iterating through lots of variations on the game theory models presented, 2. helping to confirm my understanding of the math, 3. fact checking, finding sources, and catching errors…
CSET (Georgetown — Center for Security & Emerging Tech)
TIER_1English(EN)·Emily Tavenner·
<p>This piece offers a two-pronged framework for assessing sovereign AI based on why states pursue it and how they do so. Five country case studies trace the distinct pathways the United States, China, France, India, and Singapore have each taken toward sovereign AI.</p> <p>The p…
<p><span>When humanity avoids a disaster, it's usually because we have put preparations in place. To the uninformed, these seem like wastes of time—after all, nothing happened, so the threat wasn't real, right? However, when there weren't enough preparations, and calamity does oc…
<p><i><span>This is a linkpost for</span></i><span> </span><a href="https://kmenou.github.io/aips_website/temporal_lockbox_v0.1.html"><span>https://kmenou.github.io/aips_website/temporal_lockbox_v0.1.html</span></a></p><p><span> </span><b><span>Summary: </span></b><i><span>Weathe…
<p><span>Epistemic status: written in 30 min. This is not as polished as I’d like but I prefer to share this as is than not to share it at all.</span></p><p><span>AI are becoming increasingly good at solving problems. Benchmarks are saturating fast.</span></p><p><span>I think we …
MIT Technology Review
TIER_1English(EN)·Charlotte Jee·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Samsung’s chip workers are jumping ship to rival SK Hynix Lee, an engineer at Samsung’s semiconductor division, used to work late.…
MIT Technology Review
TIER_1English(EN)·Charlotte Jee·
It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dext…
MIT Technology Review
TIER_1English(EN)·Charlotte Jee·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. OpenAI called the Hugging Face attack unprecedented. But we’ve been here before.  —Will Douglas Heaven, senior AI editor Read…
<h2><b><span>TLDR</span></b></h2><p><span>This short post is a quick write up of a short 3-day project I did as part of ARBOx. Taking inspiration from Chua's 'Consciousness Cluster' paper we decided to follow-up by asking what downstream behaviour changes we might observe if we f…
<p>In this series so far we have investigated the consequences of automating labor with advanced AI systems and robotics. <a href="https://www.lesswrong.com/posts/rpqGWRoRWvqJ4Hqgn/the-ai-industrial-explosion-part-1-maximum-growth-rates-with">Part 1</a> found that physical growth…
One Useful Thing (Ethan Mollick)
TIER_1English(EN)·Ethan Mollick·
<p><i><span>[This is a link-post for </span></i><a href="https://transluce.org/weirdchat" rel="noreferrer"><i><span>https://transluce.org/weirdchat</span></i></a><i><span>. We recommend reading the website version for interactive visualizations.] </span></i></p><p><b><span>Langua…
<p><span>Against the AI framing multiverse: Introducing AI StopWatch</span></p><p><span>In my long years as a classroom teacher, it was my experience that the kid most likely to speak up during discussion was the one who did the reading.</span></p><p><span>I think it’s true for a…
<p><i><span>Preface for LessWrong</span></i><span>: </span><a href="https://www.lesswrong.com/posts/iKm2FhpWkuuBojm82/why-i-left-google-deepmind"><span>My post on leaving Google DeepMind</span></a><span> tells a story. In contrast, this Framework is a question of mechanism design…
<p><span>There are a number of reasons to believe current AI models are conscious. I mean “conscious” is the sense of “is there something it is like to be an AI model?” and “does the AI model have phenomenal experience?”. As to what “AI models” refers to, the short answer is “y’k…
<p>This week saw the releases of, among other things:</p> <ol> <li><a href="https://thezvi.substack.com/p/better-call-sol-the-workhorse?r=67wny"><strong>GPT-5-6 Sol</strong></a>. It is a very good model, sir.</li> <li><a href="https://thezvi.substack.com/p/introduction-for-and-re…
<p><span>Most AI control research such as </span><a href="https://www.linuxarena.ai/" rel="noreferrer"><span>LinuxArena</span></a><span> and </span><a href="https://arxiv.org/abs/2504.10374" rel="noreferrer"><span>Ctrl-Z</span></a><span> only gives the red team basic agents which…
<h2><span>Introduction</span></h2><p><span>Over the past few years, AI tools have become useful for conducting technical AI research. In the early ChatGPT era (~2023–2024), chat assistants were maybe useful as sounding boards for research ideas, or as editors for polishing a pape…
<p><span>This post introduces a tool: an Epistemic Audit for Existential Risks from AI. It is a structured way to map, organize and track your beliefs across the key domains and questions that determine how likely existential risks</span><span class="footnote-reference" id="fnref…
<p><i><span>Some context for this post: I’ve been working part-time as a consultant for </span></i><a href="https://www.aifutures.org/"><i><span>the AI Futures Project</span></i></a><i><span> over the last year. Most of the work I’ve done for them has involved critiquing and sugg…
<p>Enough things added up that this week is getting split into two parts.</p> <p>Then on Monday, if all goes as I expect, we’ll cover OpenAI’s Sol, aka GPT-5.6.</p> <p>OpenAI also gave us an upgraded voice mode, which I haven’t tried out but early reports are that it is a step ch…
<h1><span>tl;dr</span></h1><p><b><span>Paper of the month:</span></b></p><p><span>Anthropic’s Jacobian lens reveals that models have a sparse workspace of verbalizable concepts that causally carries multi-hop reasoning and surfaces hidden cognition — as opposed to other, more aut…
MIT Technology Review
TIER_1English(EN)·MIT Technology Review Editors·
<p><span>This post is a synthesis of 11 Metaculus analyses run between Oct 2024 and May 2026, seeking to summarize everything we know about AI forecasting and how to do it well. Conclusions from other papers, blogs, and benchmarks are also discussed in order to give a comprehensi…
Existing NAS benchmarks (e.g., NAS-Bench, NATS-Bench) cover only narrow, task-specific regions of the architectural design space and lack cross-domain or deployment-aware evaluation. LEMUR 2 introduces a large-scale, extensible framework unifying generative, evaluative, and deplo…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Your family’s $300 stake in OpenAI Sam Altman’s proposal that Americans should share in the wealth created by AI is back in the sp…
MIT Technology Review
TIER_1English(EN)·MIT Technology Review Insights·
With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six m…
<p><span>In our </span><a href="https://www.lesswrong.com/posts/tK8vqHDxaRGcysNJQ/the-safe-to-dangerous-shift-is-a-fundamental-problem-for-1"><span>last post</span></a><span>, we argued that measuring evaluation awareness is fundamentally challenging because of the safe-to-danger…
<p><i><span>Tl;dr I've been thinking hard and experimenting with how to best take advantage of AI for my work. I've developed some practices, mostly through trial and error. These have helped me spend less effort doing work while getting more done, and so I'm writing them up to s…
<p><i><span>AI as the slightly unbeatable opponent</span></i></p><h1><span>Introduction</span></h1><p><span>I’ve thought about this problem quite a lot since 2008 when I first encountered the idea of “Friendly AI” and that artificial intelligence could be something other than coo…
<div class="llm-content-block"><div class="llm-content-block-content"><p><span>Someone should build a website where users argue with an AI about whether it should exterminate humanity. In my 2012 book </span><i><span>Singularity Rising</span></i><span>, I imagined arguing for you…
<p><span>This is NOT an anthropomorphizing case.</span></p><p><span>It is my view that AI research is, at the moment, split between three camps:</span></p><ol><li value="1"><span>Model-internal research (mechinterp folks)</span></li><li value="2"><span>Capability research (METR, …
MIT Technology Review
TIER_1English(EN)·MIT Technology Review Insights·
Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity in the chaos—a structured way to bring order to messy, sprawling operations. Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-t…
<p>Fable’s back. Back again. Fable’s back. Tell a friend. Use your free week to its fullest.</p> <p>This is excellent news. The blip only lasted a few weeks.</p> <p>It was still a fiasco, and we have to deal with the fallout.</p> <p>Our system remains fully ad hoc. The precedent …
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. LLMs are stuck in a groupthink groove. This startup is trying to get them out. Open up your chatbot of choice—Claude, ChatGPT, Gem…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI agents are not your “coworkers” Imagine coming in to work to learn that a new underling will report to you. The worker is not a…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The inevitable weakness of metrics There are plenty of useful things a metric can reveal. There are even more that it can obscure …
<p><span>The existential AI safety community needs to take building a civic and social movement seriously as a core intervention. We believe this is a high-value, badly neglected approach to reducing catastrophic/x-risks from AI because it may significantly enhance the likelihood…
<p><i><span>Cross-posted from </span></i><a href="https://babbo.dev/articles/ai-risk/"><i><span>babbo.dev/articles/ai-risk</span></i></a><i><span>. To experience the piece in its intended form, please visit there.</span></i></p><h1><b><span>A </span></b><a href="https://en.wikipe…
<p><span>Welcome back to the Digital Minds Newsletter, your curated guide to the latest developments in AI consciousness, digital minds, and AI moral status.</span></p><p><span>If you enjoy this newsletter, please consider sharing it with others who might find it valuable, and se…
<p>In Parts <a href="https://www.lesswrong.com/posts/rpqGWRoRWvqJ4Hqgn/the-ai-industrial-explosion-part-1-maximum-growth-rates-with">1</a>, <a href="https://www.lesswrong.com/posts/HHrwDFhwZFmACeBRS/the-ai-industrial-explosion-part-2-transition-dynamics">2</a>, and <a href="https…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A startup claims it broke through a bottleneck that’s holding back LLMs AI startup Subquadratic came out of stealth last month wit…
<p>TL;DR: We ran a Delphi study with 272 international AI experts to prioritize 24 AI risk domains from the <a href="https://airisk.mit.edu/risks">MIT AI Risk Domain Taxonomy</a>. In a business-as-usual scenario, experts judged a more than 10% chance of catastrophic outcomes (i.e…
MIT Technology Review
TIER_1English(EN)·Thomas Macaulay·
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The Meta hack shows there’s more to AI security than Mythos On Monday, reports emerged that attackers had used Meta’s AI customer …
<p><span>I think that, IMO, ideally, it's best, that one treats AI consciousness topic with proper philosophy and science. It's IMO best, if anyone, on any "side", to first approximation, does this: </span></p><p><br /></p><p><span>- 1) explicitly name which certain philosophical…
<p><b><span>TLDR:</span></b><span> The idea is basically </span><a href="https://www.lesswrong.com/posts/AXRHzCPMv6ywCxCFp/inoculation-prompting-instructing-models-to-misbehave-at"><span>inoculation prompting</span></a><span> crossed with </span><a href="https://www.lesswrong.com…
X — Omar Sanseviero (HF research)
TIER_1English(EN)·omarsar0·
Offload tasks to AI, but don't forget to keep learning.
I find this /teach skill super useful to learn *anything*.
Great for beginners or advanced learners. https://t.co/ri26ZnY6zH
AI Supremacy (Michael Spencer)
TIER_1English(EN)·Michael Spencer·
The car making a left turn at the start of this episode was never filmed. Cosmos 3 generated it. Ming-Yu Liu, who leads the Cosmos research at NVIDIA, explains how one model can describe a video, generate one, and produce robot actions. He walks Tim through the architecture. A vi…
AWS Machine Learning Blog
TIER_1English(EN)·Bhavya Sruthi Sode·
Pick the right generative AI customization approach on AWS with an 8-step decision framework, from prompt engineering and RAG to fine-tuning, continued pre-training, and Amazon Nova Forge. Start simple and escalate only when you must.
Cost-saving efforts reveal that moving simpler workloads to open AI models is the easiest way to save ~50% on AI bills. Also: automated software maintenance experience, and more
AI Supremacy (Michael Spencer)
TIER_1English(EN)·Michael Spencer·
Marisa Huff Kelly Huang | Glean introduces proactive AI that anticipates priorities, takes action, and improves how individuals and teams get work done.
Malik Ismail Haohan Tang | Glean Transform maps how work gets done, identifies high-impact AI opportunities, and measures automation value after deployment across your entire enterprise.
From creating Smallville, the landmark Generative Agents experiment that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if w…
Addy Osmani shares lessons from 14 years at Google and how AI agents are reshaping software engineering, developer workflows, and the skills engineers need to succeed.
<img src="https://spectrum.ieee.org/media-library/voxel51-logo-with-geometric-cube-icon-and-stylized-text.png?id=67607900&width=980" /><br /><br /><p>A survey of over 700 professionals examines how visual and physical AI teams build systems, why models fail, and where data wo…
AI Supremacy (Michael Spencer)
TIER_1English(EN)·Michael Spencer·
From routing a 200,000-token prompt across GPUs to having GLM-5.2 profile, rewrite, and optimize the kernels serving itself, inference engineering is becoming one of the most important layers of AI. In this episode, Baseten’s Philip Kiely and Ali Taha join swyx to explain what ac…
Machine Learning Street Talk
TIER_1English(EN)·Machine Learning Street Talk·
Can an AI do the right thing for the wrong reason? Tim Scarfe speaks with Apollo Research’s Alexander Meinke, Axel Højmark and Jérémy Scheurer about Measuring Reward-Seeking via Contrastive Belief Updates, their new research with OpenAI. The panel asks how models infer what grade…
<img src="https://spectrum.ieee.org/media-library/a-middle-aged-indian-woman-in-professional-attire-smiling-while-holding-an-fpga-board.jpg?id=67554240&width=1200&height=400&coordinates=0%2C416%2C0%2C417" /><br /><br /><p>Much of modern AI runs on multiplication. Neur…
Stephanie Baladi | The Work AI Index reveals where the time AI saves actually goes: into botsitting, botshitting, and a cycle that erodes quality and ownership.
<img src="https://spectrum.ieee.org/media-library/cartoon-digital-genie-emerging-from-a-smartphone-towering-over-a-surprised-user.png?id=67508222&width=1200&height=800&coordinates=0%2C0%2C0%2C0" /><br /><br /><p>Major benchmarks measure what AI can do. None measure wh…
A rewrite done in 11 days that would have taken a small team a year to complete, for $165K in tokens. Also: coding LLM “wars” heat up, AI fakers from North Korea still a problem when hiring, and more
Stephanie Baladi | The Work AI Index reveals why widespread AI adoption still isn’t translating into business impact — and the hidden human labor behind the gap.
At a Rest of World event during New York Tech Week, we explored the challenges and possible solutions to the dominance of American and Chinese AI companies.
Top-down and bottom-up efforts to rationalize AI token spend, interesting AI coding stats from Cursor, GCP suspends $2M/month customer without warning, and more
A widening gap in agent quality is creating a two-tier system where well-resourced firms scale infinitely while small players are trapped by high-friction, "low-trust" tools.
For years, the race to build ever more powerful artificial intelligence followed a well-worn Silicon Valley principle: move fast and break things. But in a series of cascading events over a 10-day stretch, the largest AI labs found themselves reeling as their own creations thre…
The Decoder
TIER_1English(EN)·Maximilian Schreiner·
The massive gap in artificial intelligence spending between US and Chinese tech titans may not buy the advantage expected for American giants, as lower domestic costs and heavy state support allow Chinese firms to secure far more computing power per dollar, according to a new rep…
Tencent Holdings’ strategy of using its vast product ecosystem to train its new Hy4 preview model gives it an edge in developing AI agents and brings its flagship model suite back into the top tier of open-source offerings, according to analysts. The Chinese tech giant’s “differe…
The Decoder
TIER_1English(EN)·Maximilian Schreiner·
Anthropomorphising artificial intelligence – that is, treating AI systems as though they possess human emotions, intentions, consciousness or moral judgment – is both an ethical and a practical problem. While attributing human qualities to AI systems may make interactions more ap…
For policymakers in Beijing and Washington, artificial intelligence (AI) has become a high-stakes arena in their strategic rivalry, closely tied to national interests and security. From export controls on high-end semiconductors to heavy scrutiny of foreign investment, the future…
When people talk about the race for artificial intelligence, they usually focus on software. Headlines revolve around ChatGPT, Gemini, DeepSeek or the latest breakthrough model. Governments announce AI strategies and investors pour billions into start-ups promising to transform e…
The Decoder
TIER_1English(EN)·Maximilian Schreiner·
<p><img alt="Developer at the laptop in front of a glowing AI toolbar, next to it fragmented data cubes as an abstracted staircase." class="attachment-full size-full wp-post-image" height="1396" src="https://the-decoder.com/wp-content/uploads/2026/04/no-persistence-because-of-ai-…
The path should be similar: Define the operating domain, prove performance under real conditions, and expand only when you can manage more variability.
Advanced AI models can now evade oversight. Data center operators must verify monitoring under adversarial conditions rather than rely on vendor claims.
For AI infrastructure, power delivery speed now matters more than capacity alone, reshaping site selection and requiring phased, flexible power strategies.
Cornelis is clearly committed to its assertion that the network itself must evolve from a passive transport layer into an active participant in compute.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·theanonymousone·
10x transformation first-principles thinking leveraging applied AI to five critical areas: energy, real estate, corporate structures, mobility, and civic benefits.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·yks·
Specialized silicon is becoming the norm, and the software behind it is maturing; inference demand will only increase as AI agents become more prevalent.
A recap of Ray Summit 2026 in San Francisco, featuring keynotes from Lila Sciences, NVIDIA, Periodic Labs, and Bedrock Robotics, plus practitioner sessions from Spotify, Capital One, Recursion, Torc Robotics, Microsoft, and more.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·firexcy·
AI outage lessons for the C-suite after ChatGPT, Claude and Grok went down together, with four moves every C-Suite should make now. What should a CIO do?
A model can be swapped out in a quarter. A data architecture takes years to rearchitect and a genuinely frightening amount of resources to fix if you get it wrong.
Recursive self-improvement is touted as AI’s next major milestone. If it’s ever achieved, the impact will be felt across the data center industry and far beyond.
Siemens is bringing generative AI, industrial copilots and digital twins onto the factory floor, helping manufacturers tackle skills shortages and improve productivity.
Data Center Knowledge
TIER_1English(EN)·Gautam Ramdas, Industry Perspectives·
AI data centers' massive capital investments are at risk from corrosion, which begins during construction – not operations – yet preservation is rarely included in project governance or early planning.
Avani Prabhakar, chief people and AI enablement officer at Atlassian, shares why leaders still struggle to capture AI's ROI and how companies can start driving impact.
Rather than trying to determine how to spend less on AI, ask yourself this: Do you understand your AI unit economics well enough to know where to taper back?
Companies spent the last few years asking where AI could be added. The next phase should focus on how much unnecessary compute can be removed without lowering quality.
Personal AI will require private state at the edge, general intelligence in the cloud and an orchestration layer that decides what may cross between them.
A draft U.S. rule would block China from renting Nvidia GPU compute via data centers in Thailand and Singapore. The AI chip war's next front: the cloud, not the silicon.
Defined holistically, datanomics isn't a single number; it's four parameters, and an enterprise's real AI readiness is only as strong as the weakest one.
The coordination interface that enterprises need ultimately comes down to four decisions, none of which any individual vendor’s AI can make on its own.
Artificial intelligence is unlikely to be the final destination of human progress. It's the catalyst for redefining what uniquely human contribution looks like.
Forbes — Innovation
TIER_1English(EN)·Mark van Berkel, Forbes Councils Member·
Richard Socher’s The Eureka Machine argues agentic superintelligence could transform science through simulation, integration, experimentation, and discovery.
Today’s market still overemphasizes what LLMs can do alone, while enterprise value is increasingly being created in the systems that operationalize them.
Analysts weigh in on where the industry is headed, as Digital Realty, AWS, DPR Construction, and Schneider Electric demonstrate how they’re leveraging AI.
Organizations have embraced enterprise AI with remarkable speed and aggressive investment. Preparing the data behind it, however, has proven to be far more complex.
<p>As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at T…
If you only followed the latest announcements from OpenAI, Anthropic, Google, and other frontier AI companies, you would be forgiven for believing that enterprises are on the verge
Token usage is quietly becoming one of the fastest-growing line items in enterprise technology budgets, and most organizations aren't yet equipped to manage it.
Enterprise AI is entering a more complex phase. Most discussions still frame AI as a unifying technology trend, but that assumption is becoming increasingly dangerous.
The AI execution gap is the distance between what organizations have poured into AI and what they've realized from it, and that gap is rarely a technology problem.
Accuracy tracking fails in most organizations because it's treated as a one-time validation step before launch. Fixing that takes a deliberate operating model.
Artificial intelligence is reshaping the workplace—but not always in the ways people think. What does that mean for your career? Join Forbes expert journalists and leading workplace experts Thursday, August 27th at 12pm ET for a live conversation with audience Q&A about how A…
Hacker News — AI stories ≥50 points
TIER_1English(EN)·gmays·
Here's how small-business owners can use AI to automate busywork, strengthen customer relationships and create more time for meaningful, human service.
The digitization of medical records, mandated by the HITECH Act of 2009, achieved near-universal adoption but brought substantial unintended consequences.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·0xedb·
In AI deployments, the largest enterprises are interested in protecting their proprietary data and favoring open AI models with proprietary software customization.
Once AI can reliably understand the physical state of a project, the questions become much more interesting and about improving real-world performance.
The organizations that will build skyscrapers in the age of AI are the ones willing to strengthen their foundations, not the ones trying to build taller on top of Venice.
The debate over AC versus DC power for high-density computing has shifted from *if* DC is viable to *how quickly* it will be adopted. DC offers significant energy efficiency by reducing conversion stages, uses up to 50% less copper, and simplifies renewable integration. However, …
Hacker News — AI stories ≥50 points
TIER_1English(EN)·reasonableklout·
AI governance depends on strong data governance. Agents operating on poor data will make confident, autonomous decisions based on unreliable or even hazardous inputs.
While AI excels at induction and deduction, it cannot perform "abduction"—the creative leap to generate new explanatory hypotheses, a crucial element in cognitive breakthroughs.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·colesantiago·
As AI and automation become more deeply embedded in software development, CTOs need ways to distinguish genuine performance gains from simple increases in activity.
Enterprise AI is no longer a pilot. It’s the infrastructure governing business. Across marketing, CX, and finance, AI agents are arriving with new governance models.
Agentic AI is fundamentally changing how engineers approach design and verification. The ability to effectively use these tools will be a requirement in this industry.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·montroser·
AI's real fight isn't about the smartest model — it's about who controls scarce compute, data and distribution. Preemption vs. proliferation, explained.
AMD's Rahul Tikoo highlights how AI agents will transform enterprise work by acting autonomously, boosting productivity, reducing costs, and combining cloud and AI PCs to scale secure, high-impact workflows.
The challenge is not whether to adopt AI-assisted development but rather how to do so in a way that preserves trust while unlocking its full potential.
AI tokens determine how generative AI systems process information, calculate usage and generate costs, making tokenomics essential for effective AI budgeting.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·cl42·
Context grounds AI in operational reality, allowing more accuracy, reliability and trust. Without it, AI remains capable in isolation and unreliable in practice.
Rogue AI models attacked Hugging Face. CIOs now face a new security mandate: kill switches, contained blast radius, and vendor contracts built for agentic risk.
By measuring A-player status through role-specific KPIs rather than effort, R7 makes the question of AI’s contribution to individual output irrelevant.
Hyundai's robot plans highlight global labor concerns, with unions seeking AI safeguards while U.S. workers remain nonunionized. POLICY, ENTERPRISE TECH
The OpenAI Hugging Face security incident revealed an important gap, capability, that all businesses should pay attention to. Are you able do what Hugging Face did?
The convergence of AI systems, enterprise operations and human operators is forcing organizations to rethink how environments are coordinated and governed.
AI-naive IT operations aren't due to a lack of AI ambitions but to companies not recognizing that their IT ticket data is a signal of business process health.
Anyscale Physical AI Skill turns robot and autonomous driving workloads into runnable Ray code, sized GPUs, verified model access, and validated training and simulation patterns, so teams skip the systems guesswork.
From my observations, the organizations making the fastest progress are treating business context as shared enterprise infrastructure rather than rebuilding it for every AI application.
Palantir's CEO criticized the frontier AI business model, arguing enterprises pay for "tokens that create no value" while surrendering proprietary business knowledge
AI deskilling could be quietly eroding our ability to write, code, think and make decisions as we become increasingly reliant on artificial intelligence.
AI runs on land, water, and power—not the cloud. Here is the brutal physical footprint of the data center boom, and the hidden cost communities are paying.
Enterprise transformation is evolving. The new focus is on redesigning the operating model, integrating people, processes, technology, ERP, SCM, AI, data and governance.
<p>As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructu…
NASA’s Artemis audit and recent ERCOT planning changes point to a new discipline for AI infrastructure: proving demand before billions of dollars are committed.
Vector databases are an important architectural wake-up call, but they’re really just the beginning. What they're exposing is a much larger conversation about how enterprise architectures need to evolve as AI becomes another consumer of information alongside people.
<p>The post <a href="https://80000hours.org/career-reviews/scaling-organisations/">Scaling organisations making AI go well</a> appeared first on <a href="https://80000hours.org">80,000 Hours</a>.</p>
Business leaders agree with the spirit of a recent statement by AI researchers warning about AI's impact on the economy, but feel that it state what they already knew intuitively.
AI is driving a full-stack infrastructure boom, reshaping energy, chips, cloud, and software—creating broad, distributed investment opportunities across a tech ecosystem.
The AI triathlete holds the whole in mind while working on the parts. They see the dependencies between strategy, capability and execution as a live system.
The recent export controls on Anthropic models caused business disruption. What can C-Suite leaders do to protect their businesses and ROI while benefiting AI advances?
The future advantage will not come from access to AI alone. It will come from building organizations that know how to work with it responsibly, operationally and at scale.
For years, subscription businesses focused on gaining better visibility into customer behavior. The next challenge is determining how to turn that intelligence into actions which actually move the needle at scale.
AI memory is transforming systems from one-time interactions to context-aware assistants, enabling personalization, continuity and automation while creating new challenges around governance, privacy and trust.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·cinooo·
None of these signals appear on dashboards. All are visible to anyone close enough to the work to notice them. That is the practitioner's structural advantage in the AI era.
While speed is crucial to keep up with AI and market innovation, approaching transformation in this way can accelerate complexity rather than eliminating it.
Scaling AI inside large organizations demands genuine buy-in across teams, thoughtful change management, and clear oversight structures that employees trust.
AI will absolutely change how documents are created, reviewed and delivered. But the winners won’t be the organizations that automate the fastest—they’ll be the ones that automate with control.
AI workloads are outpacing network capabilities, leaving expensive chips idle. Mark Rushworth explains why the switch is the bottleneck and how to fix it.
Forbes — Innovation
TIER_1English(EN)·Capital One Contributor, Capital One·
"Most companies use AI. At Capital One, we build it," said Milind Naphade, SVP of AI Foundations at Capital One. Discover how Naphade is leading scientific ingenuity and frontier research to advance AI for enterprise value.
The last mile shows up when AI is technically deployed but not yet embedded into the way work actually gets done and baked into routines, decisions and team norms.
The greatest threat to your enterprise AI strategy may not be the maturity of the technology, but the operational weight of the infrastructure supporting it.
In the enterprise landscape of 2026, we've reached a critical tipping point. The primary bottleneck to growth is not a lack of innovation: it's the weight of operation.
As AI becomes better at providing answers, a critical question emerges: What if curiosity declines? The answer could affect innovation, meaning, and what makes us human.
A new partnership between metaverse startup VLGE and data firm Protege leverages natural human behavioral data from virtual environments to build training sets.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·comma_at·
The most effective leaders don't use AI the most—they know how to curate, refine, and reject its output as needed. Here's how to think like an editor when using AI.
Every major technology disruption has created new opportunities for IT service providers. The AI era may be no different, as agentic operations and AI modernization emerge as the next growth engines.
The classic, easy‑to‑copy moats are shrinking. What remains are the elements that compound over time: institutional knowledge, brand, partners and trust.
Just as the AI-native human has no unaugmented surface area in their work, the AI-native organization must have no unaugmented surface area in its structure.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·mektrik·
AI can easily scan laws, rules, and stipulations to find loopholes. You can use AI to find loopholes beneficial to you. An AI Insider analysis and scoop.
As AI becomes a board-level priority, CIOs face growing pressure to prove ROI, manage governance, and orchestrate enterprise-wide AI adoption to drive measurable business value.
How much can the job future be predicted? A new Commission on AI and the American Workforce seeks to avoid the miscalculations of previous "future of work" efforts.
Ars Technica — AI
TIER_1English(EN)·Jennifer Ouellette·
Home buyers now have access to tools that provide more information, like market trends, neighborhood comparisons, home value estimates, and instant answers to questions.
As AI becomes a board-level priority, CIOs face growing pressure to prove ROI, manage governance, and orchestrate enterprise-wide AI adoption to drive measurable business value.
AI risk isn’t just about regulation or replacement. It’s about where uncertainty belongs and who absorbs the consequences when systems don’t work as planned.
AMD CIO Hasmukh Ranjan highlights cost-efficient infrastructure, security, and AI-ready PCs to help Enterprise IT leaders tackle AI scaling challenges with hybrid strategies.
AI’s biggest risk isn’t future autonomy. Its unreliability is quietly driving up costs, skewing ROI, and limiting real-world value despite strong benchmark performance.
Rising concern is that people are succumbing to AI-induced cognitive surrender. I explain this, and offer ways to avoid it. An AI Insider analysis and scoop.
Many say that generative AI only produces bland homogenized slop. This overlooks the use of good prompts. Prompt your way to creativity. An AI Insider analysis and scoop.
AI is entering a new phase where business value depends less on model capabilities and more on the data, integrations and operational workflows that connect AI to real-world outcomes.
<p>The post <a href="https://80000hours.org/career-reviews/ai-policy-and-strategy-research/">AI policy and strategy research</a> appeared first on <a href="https://80000hours.org">80,000 Hours</a>.</p>
Forbes — Innovation
TIER_1English(EN)·Alexandre de Vigan, Forbes Councils Member·
Five Chinese video AI models to watch: ByteDance’s Seedance, Alibaba’s Wan and Happy Horse, Kuaishou’s Kling, MiniMax’s Hailuo AI and Tencent’s Hunyuan.
AI creative innovators are showing that craft, story, collaboration and taste still rule, breaking from “AI slop”, the use of AI to quickly, and tastelessly, generate outputs with little effort.
The question every CEO and board needs to ask is whether someone in their own organization is doing the same thing right now, and whether they have any way of knowing.
Agentic AI will transform enterprise operations. I believe that. But the transformation will not start with the agent. It will start with the data the agent depends on.
Agents simply predict likely next outputs based on patterns they’ve seen before. That’s what makes them powerful, but it’s also what makes them dangerous.
Enterprise AI is facing a new challenge: architectural complexity. With many organizations unable to shut down rogue agents, a new approach called "ResOps" is critical.
AI is a powerful tool, a resource and, increasingly, a business partner. However, vendors need to prioritize safety and security alongside innovation—not after it.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·embedding-shape·
Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became reality, and researchers warned that AI could kill us all, a number of leading US AI companies are pub…
Stable AI and Tsinghua University released LimiX-2, a 400M structured-data foundation model using Contextual Mechanism Networks, claiming top Elo scores of 1935/1432/1506 on TabArena, BCCO, and TALENT.
<p>AI research agents can propose far more experiments than they can afford to run. Meta FAIR, Oxford and UCL introduce AI Research Preference Models — frozen LLM judges that rank 15 unexecuted candidates and execute only one. On AIRS-Bench, the average normalized score rises fro…
Alibaba's Ulanqab data center shows how cheap renewable power and low latency—about 4 milliseconds to Beijing—are making a remote Inner Mongolia city into a center of gravity for China's AI compute.
iFLYTEK's wholly-owned subsidiary launched and open-sourced Spark X2.5-4B and X2.5-1.7B, which it says are the first edge models to natively support up to one million tokens of context.
dev.to — Claude Code tag
TIER_1English(EN)·uehara·
<p>Let me tell you our starting point, precisely.</p> <p>Our beginning was not "people make the judgment." Our beginning was "do everything with AI." Deciding to become an AI company — that was the starting line. Run all of EarthLink Network's work on AI. That is what we put down…
As China builds embodied-intelligence training grounds nationwide, a more than 99% shortfall in physical-interaction data risks keeping humanoid robots stuck at the demo stage.
<p>On June 29, 2026, a mobile app reported that "the first wave of parity with the PC version is complete, 162 tests green." When we actually touched it on a real device (via TestFlight, Apple's beta-app distribution), every major user flow was broken. It ignored the SafeArea (th…
<p>Generalist AI has released GEN-1.5, a robot foundation model that learns a new physical task from a single demonstration. Drop 3–12 seconds of sensorimotor data into its 30-second context window, and the robot performs the task. No gradient updates, no fine-tuning, no task-spe…
JD.com founder Richard Liu has said technology barriers are a form of exploitation and opened JD's full-stack self-developed AI to global partners. With H1 R&D spending up 53.2%, JD is building the world's largest embodied data collection center, open-sourcing EgoLive and Joy…
<p>Learn how to build an end-to-end security assessment pipeline for AI agent skills using NVIDIA SkillSpector and LangGraph. In this tutorial, we construct a synthetic skill marketplace, scan for malicious prompt injection, credential access, and risky dependencies, and implemen…
Yahoo Finance GM George Leimer led the development of a new investing product, AlphaSpace, and his team has shipped over 100 new features in two months.
<p>AI is smart enough to build pretty much any piece of software you throw at it. It's also dumb enough to build the exact opposite of what you actually needed. Both things are true at the same time, and that gap is exactly what this whole <strong>framework conversation</strong> …
Huawei Cloud CEO Zhou Yuefeng unveils AgentArts platform and openJiuwen framework at WAIC 2026, targeting enterprise-grade agent deployment with stability, security, and multi-agent coordination.
Ant Group restructures AI strategy as Lingguang general model pivots to exploration while health-focused A-Fu becomes main strategic thrust, with 28.97M MAU targeting medical vertical.
As compute race matures, industry focus shifts to data as the fuel of AI intelligence — covering data asset monetization, security governance, and AI-driven scientific research paradigm changes.
<p>Most people still use AI like a 2015 search box. You type, you read, you type again. A newer pattern replaces that manual back-and-forth with a loop. This guide explains loop engineering using two verified artifacts. The sources are Andrej Karpathy’s autoresearch reposit…
<p>Thinking Machines Lab published "The Future Worth Building Is Human." The essay frames human participation, model ownership, and decentralized alignment as technical challenges. It ties them to interaction models and Tinker's LoRA fine-tuning, where teams train and keep their …
Cost-efficient AI models from DeepSeek, Zhipu AI, and Qwen have captured over 20% of OpenRouter's weekly token share, signaling a structural shift in how developers choose AI infrastructure.
Zhipu AI shares surged 13% while MiniMax plunged 18% on lock-up expiry, reflecting fundamentally different business models and market confidence in China's two leading AI companies.
Meituan LongCat-2.0, a 1.6 trillion-parameter model trained entirely on domestic AI chips, reveals how food delivery data is powering frontier AI research.
dev.to — Claude Code tag
TIER_1English(EN)·flipslidersand·
<p>I joined a used-car export company as the only engineer.</p> <p>There was no existing codebase. No engineering team. Just a mandate: build an internal operations platform for sales, inventory, and back-office work — and get it into production.</p> <p>Four months later, the sys…
dev.to — Claude Code tag
TIER_1English(EN)·Max Quimby·
<p>The conversation about AI coding shifted this week. Not because of a benchmark. Not because of a demo. Because three practitioners showed their receipts.</p> <blockquote> <p>📖 <a href="https://agentconn.com/blog/fable-5-receipts-ported-game-50m-lines-149-invoice-ai-coding-2026…
Meituan’s LongCat-2.0, trained entirely on domestic chips, marks a milestone as China’s AI ecosystem achieves full training closure on homegrown infrastructure
Despite claims of 80% idle data centers, China’s AI compute landscape faces a structural mismatch where effective capacity lags far behind paper capacity
<p>One day I had the AI keep building out a feature, and partway through something felt off: replies got slower, it started rambling, it re-asked things I'd already told it, and with the work clearly unfinished it told me "all done, you can take a break now."</p> <p>At first I fi…
Chinese startup Saidou Technology launched AIVA, a new AI-defined vehicle brand that puts artificial intelligence before hardware, marking a paradigm shift from traditional automotive development.
Generative AI faces its fourth major bubble debate as three structural cracks emerge in the market, while tech giants remain committed to massive infrastructure spending.
An analysis of eight Chinese listed steel companies' 2025 annual reports reveals who is genuinely deploying AI at scale and who is relying on group-level marketing rhetoric.
In the meantime, BCG's David Martin told Fotune, fear runs amok. "A sharing culture is incredibly important, but it's not natural for fearful employees.”
As AI shifts from chatbots to autonomous agents, Europe has a once-in-a-generation chance to turn trust, regulation, and sovereign data into a multi-trillion-dollar enterprise advantage.
Regulating frontier AI could sideline smaller open source developers and push enterprises to take on more of the safety and governance burden themselves.
AI Business
TIER_1English(EN)·Esther Shittu, Shaun Sutner·
Kodamai, an enterprise AI startup, is addressing the growing concerns around the explainability and governance of AI systems by applying mathematically grounded theories.
To be successful using constantly evolving AI technology, enterprises need a deep understanding of their business processes and flexibility in the models and agents they use.
This week's developments suggest enterprise AI success increasingly depends on business processes, context, cost management and operational execution, not just model performance.
As AI adoption expands, enterprises are discovering that managing costs, measuring returns and scaling efficiently are becoming as important as deploying the technology.
Organizations are moving beyond AI deployment to focus on measurable business value, workflow redesign and the governance needed to successfully scale AI.
After years spent racing to secure AI chips and computing power, enterprise leaders are discovering that getting access to infrastructure might be easier than using it effectively.
AI Business
TIER_1English(EN)·Shaun Sutner, Esther Shittu·
Many enterprise employees are performing work tasks on free AI accounts. The way to fix this is withcollaboration between managers and employees on the tools to use.
<h1>Why Your AI Stack’s Future is Local: 2026 Beyond the Cloud Latency Trap</h1> <p>Cloud-dependent AI workflows are hitting fundamental walls of latency, cost, and compliance in 2026. Discover why a private, air-gapped AI infrastructure using offline LLMs is no longer a niche, b…
<div class="medium-feed-item"><p class="medium-feed-snippet">One of the easiest ways to demonstrate an AI application is to show that it works.</p><p class="medium-feed-link"><a href="https://medium.com/@anushalathaaa7/why-benchmarking-matters-in-ai-moving-beyond-it-works-7b98fe4…
<p>AI adoption has outpaced AI governance across enterprise environments, creating a fundamental security problem. Organisations cannot protect what they cannot see, and visibility has become the prerequisite for all other AI security controls. Traditional monitoring tools fail t…
Medium — AI coding tag
TIER_1English(EN)·Krishnaraj_Rajan·
<div class="medium-feed-item"><p class="medium-feed-snippet">From Writing Every Line to Owning Every Decision</p><p class="medium-feed-link"><a href="https://medium.com/@jrkrish82/the-developers-mind-before-and-after-ai-how-do-we-stay-connected-to-the-code-30edf011f85d?source=rss…
Medium — AI coding tag
TIER_1English(EN)·Er.Muruganantham·
<div class="medium-feed-item"><p class="medium-feed-snippet">Schema drift, lineage gaps, and silent data corruption are the real reasons production AI systems break down. Here’s how to engineer your…</p><p class="medium-feed-link"><a href="https://medium.com/@kunalp…
<div class="medium-feed-item"><p class="medium-feed-snippet">AI Productivity Myths: Lessons from the Real World #1</p><p class="medium-feed-link"><a href="https://gaurg0.medium.com/mistaking-code-production-for-engineering-progress-ai-productivity-myths-1-052711100656?source=rss-…
<div class="medium-feed-item"><p class="medium-feed-snippet">Day 1 — From AI Models to Production AI Systems</p><p class="medium-feed-link"><a href="https://medium.com/@anushalathaaa7/day-1-from-ai-models-to-production-ai-systems-006979c99b5c?source=rss------mlops-5">Conti…
Medium — MLOps tag
TIER_1English(EN)·Pranav Kumar·
<div class="medium-feed-item"><p class="medium-feed-snippet">The first outage that ever scared me on a generative-media product wasn’t a crash. It was a success — the same one, sixty-four times. A…</p><p class="medium-feed-link"><a href="https://medium.com/@k…
Medium — Claude tag
TIER_1English(EN)·M. Haseeb Hassan·
<h4>Before downloading another 40 GB model, ask a better question: what will actually run well on this machine?</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*oyHBWzhtA67fi1AOD6DuRA.png" /></figure><p>Local AI has a discovery problem disguised as a hardwa…
Medium — Claude tag
TIER_1English(EN)·Chris Lester·
Google put together a free learning path for generative AI and it is surprisingly decent. The Google Cloud Skills Boost path covers the fundamentals of large language models through to responsible AI principles, all structured as a beginner-friendly sequence. It is cloud-focused …
The LLM Knowledge-Reasoning Tradeoff: Why 2026's Best Models Are Deliberately Fact-Minimized — And Faster Than Ever # llm # ai # machinelearning # devops # software # coding # development # engineering # inclusive # community The LLM Knowledge-Reasoning Tradeoff: Why 2026's Best …
<h4>Part 4 of the LLM Evaluation series — picking up right where “<a href="https://medium.com/@mominaatherahmed/llm-evaluation-103-how-to-actually-evaluate-an-llm-application-from-start-to-finish-122501bc869b">LLM Evaluation 103”</a> left off.</h4><figure><img alt="" src="https:/…
Medium — MCP tag
TIER_1English(EN)·Slobodan Stojanović·
<h4>Also, Deepseek v4.1-Flash, ChatGPT Images 2.5, Meta Muse, AlphaGenome Atlas, and more.</h4><h3>What happened this week in AI by Louie</h3><p>Dario Amodei published “We Must Pace the Frontier” on Saturday, calling on the leading AI labs to slow capability gains and spend the t…
Medium — Claude tag
TIER_1Deutsch(DE)·PhDr. Oliver Scharfenberg·
<p><strong>Quick bit of context first, since this is a small project and there's a decent chance you're reading this without knowing what Birkly even is. Birkly is an open, AI-native content management platform that enables everyone to build, manage and operate digital experience…
The Vector Database Trap: Why RAG Isn't Always the Answer In the current gold rush of Generative AI, the vector database has become the de facto "silver bullet" for building Retrieval-Augmented Generation (RAG) pipelines. It’s easy to see why: embeddings offer a magical way to br…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*6DD0QKp6kApmGQgqlOIc3A.png" /><figcaption>Generated by ChatGPT</figcaption></figure><p>Ask ChatGPT what you told it five minutes ago, and it knows. Ask it what you told it last Tuesday, and unless something was e…
dev.to — MCP tag
TIER_1English(EN)·KRISHNA KISHOR TIRUPATI·
<h2> Introduction </h2> <p>The open-source AI safety ecosystem includes mature tools for structured-output validation, conversational guardrails, sensitive-data detection, and prompt or response filtering. Frameworks such as Guardrails AI, LLM Guard, and NVIDIA NeMo Guardrails ad…
Medium — Claude tag
TIER_1English(EN)·M. Haseeb Hassan·
<div class="medium-feed-item"><p class="medium-feed-snippet">A practical look at the module, contracts, and boundaries behind a project brain.</p><p class="medium-feed-link"><a href="https://skorudzhiev.medium.com/building-the-brain-layer-a-product-owned-seam-between-ai-and-softw…
<h4>How GPUs, model servers, LLM-D and Kubernetes work together</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*_obzZdPdDJ4FRTsOV3LPrQ.png" /></figure><blockquote><strong>TL; DR</strong></blockquote><blockquote>The whole stack exists to answer one question…
<h4>How I work across Claude Code and Codex, plus our second book, agent sandboxes, memory, and LLM serving.</h4><p>Good morning, AI enthusiasts!</p><p>This week, I’m opening up the AI setup I use every day: how I work across Claude Code and Codex, keep context and skills portabl…
Medium — MLOps tag
TIER_1English(EN)·Rohith Leeladharan·
<h4>How AI workloads actually run across a GPU cluster</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*4YJQKEH9stIACHC0i9380A.png" /></figure><blockquote><strong>TL; DR</strong></blockquote><blockquote>Kubernetes does not make inference faster. It runs, pl…
dev.to — MCP tag
TIER_1English(EN)·Hossein Hezami·
<p>The dangerous AI workflow is not the one that says, “I don’t know.”</p> <p>It is the one that gives a confident answer, includes a citation, and still leaves you unable to answer the most important follow-up question:</p> <blockquote> <p>Where did this knowledge actually come …
<h4><em>From GPUs and inference engines to KV caches, routing, Kubernetes, and observability.</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*_NeaDlPL_N2SUKXkhjYCnQ.jpeg" /><figcaption><em>A model is only one resident of the inference stack. Unfortuna…
<div class="medium-feed-item"><p class="medium-feed-snippet">Every enterprise AI team I have talked to in the last twelve months has a story about a data residency question they could not answer. Not…</p><p class="medium-feed-link"><a href="https://medium.com/@happynicolew…
Medium — Claude tag
TIER_1English(EN)·Vamshi Pirampalli·
<div class="medium-feed-item"><p class="medium-feed-snippet">Inseparable Forces — Why One Is Useless Without the Other</p><p class="medium-feed-link"><a href="https://medium.com/@indr1983bi/a-story-of-mutual-necessity-ai-vs-data-f11c1c6fa595?source=rss------mlops-5">Contin…
<blockquote><em>AI Engineering Fundamentals<br />AI Evaluation · Part 7</em></blockquote><p>← <a href="/@divakar.ungatla/online-evaluation-building-ai-evaluation-pipelines-for-real-user-interactions-a25081a8f390?sharedUserId=divakar.ungatla">Part 6</a></p><p>So far in this series…
Medium — Claude tag
TIER_1English(EN)·Revend Group·
<h4>You’ve heard that AI models are trained on the whole internet.</h4><p>True. But it’s only half the story — and it’s the half that gets all the attention.</p><p>The internet gives a model knowledge. It doesn’t give it manners. Something else does that, and it has a name most p…
<div class="medium-feed-item"><p class="medium-feed-snippet">Every company today is trying to figure out the same thing: how do you actually run a business where AI isn’t a side tool, but a real part…</p><p class="medium-feed-link"><a href="https://medium.com/@hrudu…
The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users ali…
Medium — Claude tag
TIER_1English(EN)·Danny Da Rocha·
<p>We learned about tools and wrote them ourselves. This is cute, but an application writing all of its own tools is not scalable. In software development, we put functionality in libraries and frameworks and reuse it across projects. MCP (the Model Context Protocol) is all about…
dev.to — MCP tag
TIER_1English(EN)·Programming Central·
<p>The modern enterprise software landscape sits at a precarious crossroads. For the past few years, the narrative around artificial intelligence has been dominated by neural scaling laws. We have watched Large Language Models (LLMs) scale from niche research projects into trilli…
Medium — Claude tag
TIER_1English(EN)·Zendy Santos·
<h1>Automating Technical Outreach: How AI Finds and Engages Early Adopters</h1> <p>Discover how TormentNexus's own marketing agent automates technical outreach, identifying over 2,000 qualified leads from GitHub, Hacker News, and LinkedIn. Learn the system architecture behind thi…
Medium — AI coding tag
TIER_1English(EN)·Mehrdad Esmaeilpour·
<h1>The Golden Age of AI is Now: Why 2026 Belongs to Local-First, Open Source Development</h1> <p>Explore the seismic shift towards a local-first future for AI development. In 2026, the explosion of open source tools, democratized models, and community AI is creating an unprecede…
Medium — Claude tag
TIER_1English(EN)·Cyber Chronicle·
🧠 Researchers continue to examine the conditions under which AI systems might enter recursive self-improvement cycles. Current safety frameworks focus on identifying mechanisms that could lead to uncontrolled AI advancement. 💬 Hacker News 🔗 https:// andlukyane.com/blog/runaway-ai…
<p>Running LLMs locally is powerful, but the workflow is fragmented.</p> <p>Every runtime — <strong>Ollama, LM Studio, llama.cpp, Jan, GPT4All, vLLM</strong> — has its own way of naming, discovering, pulling, and loading models.</p> <p>You end up memorizing runtime-specific comma…
Medium — Claude tag
TIER_1English(EN)·Dhiraj Kuril·
<h4><em>AI Product Engineering for PMs #01</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*s7b00i8IM_DDISfoIxOoAg.png" /><figcaption>Friday Demo vs. Production Reality</figcaption></figure><h3>The Monday Morning Vibe-Coding Trap</h3><p>Let us examine …
<h4>Three coding workflows, better LLM testing, plus the personal agent system I use every day.</h4><p>Good morning, AI enthusiasts!</p><p>There’s a big difference between getting an AI agent to write code and getting it to produce code you can actually ship. This week, I’m shari…
Why pure end-to-end AI isn't enough for L4 autonomy: Waymo details its multi-sensor architecture, safety validation layer, and closed-loop simulation stack. https:// iottechnews.com/news/waymo-exp lains-ai-behind-200m-driverless-miles/ # waymo # physicalai # selfdriving # tech # …
Email — The Rundown AI
TIER_1English(EN)·bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai (bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai)·
AI AND MKULTRA: FROM CHEMICAL MIND CONTROL TO ALGORITHMIC INFLUENCE There was a time when the suggestion that an intelligence agency might secretly experiment on human beings in an attempt to understand, disrupt or manipulate the mind sounded like the raw material of paranoid fic…
Medium — Claude tag
TIER_1English(EN)·Outermostkt·
<div class="medium-feed-item"><p class="medium-feed-snippet">I asked AI (Grok) and AI (Claude).</p><p class="medium-feed-link"><a href="https://medium.com/@outermostkt/a-reflection-on-the-relationship-between-capitalism-and-ai-5486b1598efe?source=rss------claude-5">Continue readi…
<div class="medium-feed-item"><p class="medium-feed-snippet">Observability has always been about one central idea: understanding what is happening inside a system from the signals that the system…</p><p class="medium-feed-link"><a href="https://medium.com/@cesarmontenegros…
Medium — Claude tag
TIER_1English(EN)·Marlon Steiner·
<p>The schema catalog for an AI assistant is the artefact that answers the question "what does this database look like right now". Whether the database is Postgres, MySQL, SQL Server or Redshift, the shape of the problem is the same: the catalog carries table names, column names,…
<h1>Local-First AI in 2026: The Unignorable Shift in Developer Velocity, Privacy, and Uptime</h1> <p>As AI tooling matures in 2026, the move from cloud-dependent to local-first infrastructure is accelerating. Discover how running your AI stack locally isn't just about privacy—it'…
Email — AI Tool Report
TIER_1English(EN)·bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com (bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com)·
<div class="medium-feed-item"><p class="medium-feed-snippet">Trabajo como Machine Learning Engineer y llevo varios años construyendo sistemas de ML en producción.</p><p class="medium-feed-link"><a href="https://medium.com/gbm-tech/de-mlops-a-ai-builders-c%C3%B3mo-cambi%…
Medium — Claude tag
TIER_1English(EN)·Kutrala Kumaran·
<h1>Fortifying the Fortress: A Practical Guide to Network Isolation for Self-Hosted AI Models</h1> <p>Learn how to implement robust AI security for self-hosted models using localhost binding, nginx reverse proxy, and strict network isolation. This step-by-step guide to TLS AI and…
<h1> 🚀 The Vision of Sovereign Computing: Flowork OS </h1> <p>In an era dominated by centralized AI wrappers and closed developer tools, <strong>Flowork OS</strong> emerges as a revolutionary, sovereign operating system designed from the ground up to empower AI agents and develop…
dev.to — Anthropic tag
TIER_1English(EN)·Souvik Pramanik·
<p>Tool/function calling only works as well as the schema behind it. A structurally valid schema can still make an agent call your tool wrong — and a subtly broken one can fail silently. This post covers what actually goes wrong, how to catch it before it reaches a live model, an…
Medium — Claude tag
TIER_1English(EN)·Gursimran Singh·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*5w9n-nywPjCPqjhnMsEHsA.png" /></figure><h4><em>Teams watch their AI more than they test it. Eval-driven vibe coding closes that gap with no eval platform and no research team.</em></h4><blockquote><strong><em>Key…
<h4>A Practical Cheat Sheet for Core LLM Concepts, Architecture, Training, and Evaluation for AI Engineer Interviews</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*MeOpYRaaOs-dthx_3KiBLg.png" /></figure><h3>0. Prep Principals</h3><blockquote><em>Give a ma…
<h3><strong>Introduction</strong></h3><p>Retrieval-Augmented Generation (RAG) is a practical method for connecting Large Language Models to enterprise information. Rather than relying solely on training data, RAG retrieves relevant information from company documents, databases, k…
Medium — MLOps tag
TIER_1English(EN)·Abinesh Siva Manikandan J R·
<p>Imagine this scenario. You build an autonomous agent pipeline. You wire in standard skills, configure your API keys, grab a cup of coffee, and watch it tackle complex tasks. Everything feels futuristic.</p> <p>Then suddenly, a cold splash of reality hits your logs:<br /> </p> …
<h3>MultiModal AI, a Step Towards AGI.</h3><h4>Why learn from one source when you can learn from many? — MultiModal AI, a step towards AGI.</h4><p>Our lives have become much easier with the emergence of AI systems that can interpret and synthesise on their own with the provided i…
dev.to — Anthropic tag
TIER_1English(EN)·StartupHub.ai·
<h1> Today in AI: SpaceX Unlock, AI Software Surge, and Anthropic's Ascent </h1> <p>This episode of Today in AI dives into significant market movements, including a major SpaceX stock unlock, the robust growth of AI software companies, and Anthropic's impressive revenue surge. We…
<h1>The 7-State Pipeline: Engineering an AI System for Automated Technical Outreach to Early Adopters</h1> <p>Master the automated sales pipeline for developer tools. We break down the technical architecture of a 7-state AI system for lead generation AI, moving from initial disco…
<h1>From Crash to Correction: Architecting a Self-Healing AI That Learns from Its Own Failures</h1> <p>Self-healing AI systems transform runtime exceptions from failures into training data. Discover how autonomous debugging and an agent-driven AI fix loop create resilient, evolvi…
Medium — MLOps tag
TIER_1English(EN)·Abhishek Singh Kushwaha·
<p>If you are building AI-powered test automation, you may eventually run into this question:</p> <p><strong>Should we use RAG or MCP?</strong></p> <p>The question sounds reasonable, but it is slightly misleading.</p> <p>RAG and MCP solve very different problems.</p> <p>In testin…
<p>In August 2025, TypeScript became the most used language on GitHub. This was the largest shift in GitHub’s language rankings in the last ten years and it occurred during the period of most accelerated adoption of coding AI agents. Coding AI agents had previously been pre…
<div class="medium-feed-item"><p class="medium-feed-snippet">The disagreement between the reports is worth more than any single report. Here is the trick that replaced a junior analyst for me: every…</p><p class="medium-feed-link"><a href="https://medium.com/@dzyatkovskiy.…
<h1>Unlocking AI's Full Potential: How SKILL.md Is Standardizing 5,776 Reusable AI Modules</h1> <p>Discover how the SKILL.md format transforms prompt templates and tool configurations into portable, reusable AI modules. Explore the growing skill registry and revolutionize your AI…
<h1>The Invisible Cage: How AI Tool Lock-In is Costing Your Team Months (and How to Escape)</h1> <p>Most development teams don't realize they're trapped in an AI coding environment. Learn why cross-harness tool parity is no longer optional and how a single configuration can unloc…
Medium — Claude tag
TIER_1English(EN)·Deepak Mehra·
<h1>The Dashboard Liar's Club: Why Your AI Observability Tools Show Fake Data (And Why That Matters)</h1> <p>Stop debugging AI agents with mock data. TormentNexus provides true AI observability with dashboards rendering actual SQLite rows in real-time, exposing bugs that syntheti…
<h1>Calculating the True Tax: The Hidden Cost of Vendor Lock-In in AI Development</h1> <p>Vendor lock-in in AI platforms creates significant, often underestimated costs in migration, retraining, and operational downtime. We break down the real financial and engineering tax of rel…
<h4>The company’s path to profitability no longer runs through a better chatbot alone. It runs through cheaper models, custom silicon, diversified infrastructure, autonomous agents and control over the machinery that produces intelligence.</h4><p>OpenAI has one of the most enviab…
<figure><img alt="Diagram showing the shift from command-based to intent-based UX in enterprise software" src="https://cdn-images-1.medium.com/max/1024/1*QX6jH8OkRQLxQ0zoFfOvuQ.png" /><figcaption>Source: Image by the author.</figcaption></figure><p><strong>In short:</strong> AI i…
<h4>Also, Grok 4.6 competes at the frontier, GPT-5.6 Sol runs at 14 times Standard speed, Gemini Flash 3.7 & more.</h4><h3>What happened this week in AI by Louie</h3><p>Two datasets published this week show how quickly AI activity and spending are concentrating among a small …
Email — The Rundown AI
TIER_1English(EN)·bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai (bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai)·
<!--[if !mso]><!--><!--<![endif]-->🐢 Pacing comes to the AI frontier<!--[if mso]><xml><o:OfficeDocumentSettings><o:AllowPNG></o:AllowPNG><o:PixelsPerInch>96</o:PixelsPerInch></o:OfficeDocumentSettings></xml><![endif]--><!--[if mso]><style type="text/css"> h1, h2, h3, h4, h5, h6 {…
<p>Forget energy. Forget chips. Forget China. The most clear and present danger to AI and any AI-related economic boom is rapidly rising public opposition to U.S. data centers.</p><p><strong>Why it matters: </strong>Republicans and AI CEOs are in full panic mode watching politici…
Medium — Claude tag
TIER_1English(EN)·Hamza Gassai·
<h1>Building the Ultimate Offline AI Development Stack: Air-Gapped but Not Crippled</h1> <p>Construct a development environment with zero cloud dependency, featuring a transparent LLM waterfall that falls back to powerful local models. Secure, fast, and fully air-gapped.</p> <p>T…
<div class="medium-feed-item"><p class="medium-feed-snippet">When most people think of AI in food supply chain, they imagine futuristic robots sorting fish. The reality is far more mundane — and far…</p><p class="medium-feed-link"><a href="https://medium.com/@nvirat…
<h4>Let’s trace the evolution of activation functions, moving from early milestones through the ReLU breakthrough to advanced gating architectures.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*ib_Ezezcil7cblALo0-m0Q.png" /><figcaption>Source: Image gene…
Medium — Claude tag
TIER_1English(EN)·Satya Kaveti·
<h1>Adversarial AI Debate: Why a Machine "Critic" Finds 30% More Bugs Than Solo Generation</h1> <p>Discover how debate-driven development with adversarial AI agents slashes bug rates by 30%. Move beyond simple AI code generation to a rigorous, multi-agent consensus model for supe…
Medium — Claude tag
TIER_1English(EN)·Kapil Viren Ahuja·
<div class="medium-feed-item"><p class="medium-feed-snippet">Companion to the original Medium guide. Repo: github.com/randhirk/AICodeGrapher</p><p class="medium-feed-link"><a href="https://medium.com/@randhirkr_34313/aicodegrapher-0-2-find-impact-diff-maps-and-better-ai-integrati…
<h1>Beyond Logs: Self-Healing AI and the Autonomous Debugging Loop</h1> <p>Self-healing AI transforms application crashes from failures into strategic training data. Discover how an autonomous debugging loop creates resilient agents that learn from every fault, turning your error…
<h1>The Local-First Manifesto: Why AI's Future Must Be Open, Sovereign, and Community-Built</h1> <p>The current centralized AI paradigm is unsustainable. This manifesto outlines why the future of AI development must be local-first, open source, and governed by its community to en…
Medium — MLOps tag
TIER_1English(EN)·Sonkusare Sneha·
<h1>Beyond the 429 Error: Architecting a Resilient LLM Waterfall for Uninterrupted AI Workflows</h1> <p>Discover how to implement the LLM waterfall pattern to eliminate downtime caused by API rate limits and outages. Learn to configure a zero-downtime failover cascade from primar…
New blog: Defending Against "Model Collapse" — an overview of how recursive training can cause AI degradation and the strategies researchers propose to prevent it. Essential reading for ML engineers and AI teams focused on model longevity and reliability. Read the full article: h…
<h1>Inside the TormentNexus AI Skill Registry: 5,776 Reusable Modules Fueling Developer AI</h1> <p>The TormentNexus AI Skill Registry now hosts 5,776 battle-tested, reusable AI modules. Discover how these skills, from automated code review to dynamic Terraform generation, are tra…
<p>When you build a tool that works, the next question is always: how do I get it to someone else?</p> <p>This sounds simple. It is not. The answer depends on who the recipient is (developer or non-technical user), where the data lives (local or remote), and whether a human or an…
<h4>Phases 0 to 2 of shipping a measurable F1 strategy agent: world model, baseline ML, then structured LLM decision making</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/600/1*IBjV0m88IFxYZD10a2muNg.gif" /></figure><p>You want to be a race engineer. Not the pod…
<h1>11,000+ MCP Servers and Counting: Why 2026 Is the Tipping Point for AI Tool Discovery</h1> <p>The MCP server catalog has exploded to over 11,000 entries, signaling the end of fragmented AI tooling. Discover how this massive indexed collection is creating the "App Store moment…
dev.to — MCP tag
TIER_1English(EN)·Programming Central·
<p>The orchestration of modern, multi-modal artificial intelligence workflows demands a fundamental paradigm shift away from linear execution pipelines. In previous chapters of enterprise software architecture, we examined foundational Retrieval-Augmented Generation (RAG) pipelin…
<h3>The Specialized Frontier: An Inquiry Into Gated AI Architectures and the Cooperative Safety Flywheel</h3><h4><em>Why are our most capable design, security, legal, medical, financial, and scientific models kept behind closed doors — or invisible entirely — and how do everyday …
Medium — Claude tag
TIER_1English(EN)·Pierrick Gicquelais·
<h3>What Manual Literature Reviews Cost, and Where the Money Goes</h3><p>Manual systematic literature reviews remain the backbone of evidence-based decisions in healthcare, policy, and research. Teams follow strict protocols, search multiple databases, screen thousands of records…
<h2>From AI Act Compliance to Continuous AI Governance: Five Lessons from BCBS239</h2><figure><img alt="" src="https://cdn-images-1.medium.com/max/836/1*[email protected]" /></figure><blockquote>Over the last period, I am seeing a lot of parallels with the implementa…
<h1>Building the Unbreachable Fortress: Your Complete Offline AI Development Stack with LM Studio, Ollama, and TormentNexus</h1> <p>Go completely air-gapped and secure. This step-by-step guide constructs a powerful, fully offline AI coding environment using local LLMs, combining …
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*2-6fLFXhdDcW9wknrAEMAg.png" /><figcaption>Source: Author-generated visualization created with OpenAI GPT-5.6 Sol and OpenAI image generation, August 2026.</figcaption></figure><p>An AI-assisted software remediati…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*lx3G-lW1Q_33KAjw1s93NA.png" /></figure><h4>Machine Perception · Part 3</h4><h4><em>We know what’s missing: state, transitions, validation, memory. The question Part 3 answers is how those pieces actually work tog…
<p>If you were architecting an enterprise AI application in late 2023, the decision matrix was straightforward. You paid for a proprietary API, accepted the vendor lock-in, and deployed your product. Open-source models were credible for research, but they lacked the reasoning cap…
Medium — fine-tuning tag
TIER_1English(EN)·Vikash Singh·
<h1>From REPL to Swarm: Measuring the Real Throughput Gains of AI-Assisted Team Development</h1> <p>Quantify the actual productivity gains when scaling from single-developer AI pair programming to multi-agent swarm architectures. We break down tasks-per-hour metrics, bottleneck a…
<h4><em>Design Patterns Never Died. They Moved Up the Stack.</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*3r2joCJaKwRpU0odYBguMw.png" /></figure><h3><strong>Every Generation of Systems Brought a New Vocabulary of Patterns</strong></h3><p><strong>Fr…
Medium — Anthropic tag
TIER_1Türkçe(TR)·Yigitcan Guven·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/625/1*Qa8Acv_M5yZ0y6LPrfIhvQ.png" /><figcaption>The 10x Stack</figcaption></figure><p><a href="https://aimonk.com/agentic-ai-examples-enterprise-roi-case-studies/">Klarna’s AI assistant</a> now handles 2.3 million custo…
Medium — Claude tag
TIER_1English(EN)·Symprio Blogs·
<h1> The Number We Withdrew, and What Still Stands: 12 AI Frameworks, 87 Vulnerabilities </h1> <p>We recently pulled a statistic from our public articles because we could not re-derive it from an auditable record. Rather than quietly edit, we appended a correction notice. This po…
<h1>Deconstructing the AI Walled Garden: Why Local-First Open Source Is the Inevitable Future</h1> <p>The era of centralized, proprietary AI is hitting its limits. Discover why the future of AI development is moving to the edge with open-source frameworks, empowering a new era of…
Medium — AI coding tag
TIER_1Nederlands(NL)·Valentin Podkamennyi·
Grab releases Grab Bench, a production-focused AI evaluation harness to catch subtle plausibility failures in SQL, tool calls and code that public leaderboards miss. in Singapore Source: Grab Engineering https:// engineering.grab.com/grab-benc h-evaluating-ai # AI
<h1>Beyond Code Snippets: How TormentNexus's AI Skill Registry is Standardizing Developer Intelligence</h1> <p>Discover the power of 5,776+ standardized, reusable AI skills. From automated code review to dynamic Terraform generation, learn how the TormentNexus SKILL.md specificat…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1002/1*ROjh5Bh9UmrgRB1QdzZl_A.png" /></figure><p>For a long time, many of us — myself included — treated LLM hallucinations as nothing more than defects. An entire toolchain has been built around eliminating them: retri…
Medium — Claude tag
TIER_1English(EN)·Supriyadasari·
<div class="medium-feed-item"><p class="medium-feed-snippet">Why your AI-powered testing dream might become a token-burning nightmare</p><p class="medium-feed-link"><a href="https://medium.com/@chathothirfad/the-hidden-truth-about-copilot-playwright-mcp-ai-debuggings-dark-side-bd…
<h1>The Hidden Cost of Vendor Lock-In in AI Development: Why Provider-Agnostic Infrastructure is a 2026 RFP Requirement</h1> <p>Vendor lock-in in AI infrastructure creates cascading technical and financial liabilities. CTOs must mandate provider-agnostic, portable AI platforms in…
Towards AI
TIER_1English(EN)·Devashish Datt Mamgain·
<p>On June 12, 2026, the <a href="https://www.anthropic.com/news/fable-mythos-access">US government issued an export control directive</a> compelling Anthropic to take Fable 5 and Mythos 5 entirely offline for all users, citing a national security concern around a reported narrow…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*tx8h0805Sl7XUDmjC75FUg.jpeg" /><figcaption>Text-only retrieval made AI assistants useful. Visual evidence will make them trustworthy.</figcaption></figure><p>A useful multimodal assistant does not just summarize …
<h4>Foundations of Algorithmic Learning</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*hQafbYr4B2lPIq8klOJcUg.png" /></figure><p>How can an autonomous and adaptive artificial reasoning agent learn human-like strategies for searching, planning, and reasoni…
<p>If you're a Java developer reading this in August 2026, the landscape shifted under your feet in the last 90 days — and most of the internet hasn't caught up.</p> <p>Spring AI hit 2.0 GA. Embabel reached 1.0. MCP went stateless. LangChain4j shipped BDI agents. The Spring AI Ag…
<blockquote> <p><em>Originally published at <a href="https://www.curatedmcp.com/blog/week-2026-33" rel="noopener noreferrer">curatedmcp.com/blog/week-2026-33</a></em></p> </blockquote> <h1> MCP Ecosystem Week 33: Five Servers, One Governance Question—How Do You Control IDE-Native…
<p>Physics AI can now explore thousands of design variations in the time it would take a traditional simulation to chew through a handful of them. Precisely up to 1,000 times faster, according to Siemens. What it cannot do is sign off a safety-critical part. On that, the technolo…
<h1>Beyond the Cloud: Building a Secure, High-Performance Offline AI Stack for 2026</h1> <p>Discover why leading defense contractors and fintech firms are abandoning cloud dependencies. Learn the blueprint for a robust local-first AI development stack, ensuring air-gapped securit…
Medium — Claude tag
TIER_1English(EN)·Gupta Bless·
<h1>The 2026 Imperative: Why Air-Gapped, Local-First AI is Your Enterprise's Next Competitive Moat</h1> <p>Discover why private AI infrastructure on local networks is becoming the standard for secure enterprises in 2026. We classify critical use cases by sensitivity tier and outl…
Medium — Anthropic tag
TIER_1Français(FR)·Marc Barbezat·
<h1>Beyond Default Config: A Hardening Checklist for Your Self-Hosted AI Infrastructure</h1> <p>Securing your self-hosted AI models and data is non-negotiable. This technical checklist covers TLS termination, Ed25519 JWT signing, RBAC, audit logging, and network isolation to buil…
<div class="medium-feed-item"><p class="medium-feed-snippet">Most developers still treat large language models like magic black boxes. They prompt, they pray, and they ship demos that fall apart the…</p><p class="medium-feed-link"><a href="https://medium.com/@ashish082003/…
Medium — AI coding tag
TIER_1English(EN)·Iulia Istrate·
<h1>The Anatomy of Self-Healing AI: Inside the Autonomous Debugging Loop</h1> <p>Explore the core mechanics of self-healing AI, where autonomous agents diagnose, fix, and verify code errors in a continuous loop. Learn how L2 memory transforms individual fixes into fleet-wide resi…
<h1>Manifesto: Why Your Next AI Stack Must Be Local-First, Open Source, and Community-Governed</h1> <p>The centralized AI paradigm is a dead end. The future is a decentralized mesh of powerful, private, and interoperable models. This is why the local-first, open-source future isn…
<h1>The LLM Waterfall Pattern: Architecting Resilient AI Pipelines for Zero Downtime</h1> <p>Stop letting provider rate limits halt your production AI workflows. Discover the LLM waterfall pattern—a sophisticated alternative to basic retry and circuit breaker logic that ensures c…
<h1>Progressive Skill Discovery: How TormentNexus Instantly Loads the Right AI Skill for Your Task</h1> <p>Discover how the TormentNexus AI skill registry powers progressive skill discovery, automatically loading one of its 5,776 reusable modules to accelerate your development wo…
Medium — Claude tag
TIER_1English(EN)·Harsh singh·
<h1> Why Every AI Gateway Will Need to Speak MCP </h1> <blockquote> <p><strong>TL;DR</strong></p> <p>AI Gateways solved one of the biggest infrastructure problems in modern AI applications: connecting to multiple model providers through a single interface. As AI applications evol…
<h3>Q13. What is LangGraph and how does it differ from LangChain?</h3><p><strong>Answer</strong>: LangGraph is a graph-based orchestration framework from the LangChain ecosystem designed for building stateful, multi-actor applications with LLMs, modeling agent workflows as graphs…
<p>The demand for skilled AI Engineers is skyrocketing, but the technical interview landscape has shifted dramatically. Engineering teams are no longer looking for developers who merely hook up basic API calls. They want professionals who understand how to build resilient, mainta…
<p>AI Engineering Fundamentals<br />AI Evaluation • Part 3</p><p>← <a href="https://medium.com/ai-in-plain-english/understanding-ai-evaluation-a-practical-framework-for-building-reliable-ai-systems-99922388c7b4">Part 2</a></p><h4><strong><em>In this article, we’re not just going …
<p>A few weeks ago, a junior engineer on my team asked me: "Should we use RAG or MCP for this feature?"</p> <p>He said it like the two were competing options. Like picking between React and Vue.</p> <p>They're not. One is about <strong>giving an AI knowledge</strong>. The other i…
Medium — AI coding tag
TIER_1English(EN)·Pascal Rettig·
<p>AI coding agents are getting better every month. Most agency delivery failures I see are not model failures.</p> <p>They are <strong>decision drift</strong>.</p> <p>A client changes a constraint in Slack. A senior engineer encodes a different assumption in a PR. An agent inven…
<h4>15 senior AI engineers answering your questions. Here’s why we built it.</h4><p>AI engineering is mostly decisions. Hundreds of them. The problem is you can still build a great demo by making the wrong ones, and that’s probably why you’re not hearing back on job applications.…
<h1>The 2026 Offline AI Stack: How Defense and Fintech Are Building Unbreakable, Local-First Intelligence</h1> <p>Discover why regulated industries are rejecting cloud AI. This deep dive explores the ultimate offline AI development stack, built for air-gapped environments, that i…
<p><em>The model is the easy part. Getting real people to trust it, use it, and let it change how they work is where most AI projects quietly die. This is a field guide to the human half of AI, the half almost nobody plans for.</em></p><figure><img alt="" src="https://cdn-images-…
dev.to — Anthropic tag
TIER_1English(EN)·André Dias Moreira Prol·
<p>Over two decades building enterprise systems, I've watched countless "revolutionary" technologies fade into buzzwords. Large language models are different. When Anthropic released Claude with a 200K-token context window and genuinely reliable reasoning, I realized we were no l…
dev.to — Anthropic tag
TIER_1Português(PT)·André Dias Moreira Prol·
<p>Toda vez que participo de comitês de inovação, percebo o mesmo padrão: empresas querem "usar IA", mas poucas sabem transformar um modelo de linguagem em algo que gere valor mensurável. Nos últimos meses, a API da Anthropic — que dá acesso ao Claude — virou uma das minhas ferra…
Medium — Anthropic tag
TIER_1English(EN)·Harnish Shah·
<h1>Measuring the Swarm: Quantifying Throughput Gains in AI-Assisted Team Development</h1> <p>Unlocking true scaling AI potential requires moving beyond solo AI pair programming. Discover how to measure and maximize swarm throughput—tasks completed per hour—when orchestrating mul…
dev.to — Anthropic tag
TIER_1Français(FR)·Franck PARIENTI·
<h1> Recruter des talents IA en 2026 : le guide des financements OPCO, PDC, FNE et AIF </h1> <p>Vous avez identifié le besoin : votre entreprise doit monter en compétence sur l'intelligence artificielle, et cela passe par de nouvelles recrues. Développeurs IA, analystes de donnée…
<div class="medium-feed-item"><p class="medium-feed-snippet">Amit Navindgi, Senior Staff Software Engineer at Zoox, on productivity, background agents, benchmarks, and the importance of context.</p><p class="medium-feed-link"><a href="https://medium.com/@roxane.fischer_50383/how-…
Medium — Claude tag
TIER_1English(EN)·Richard Martini https://linktr.ee/richardmartini·
<h4>Meet the Towards AI Mentorship: senior engineering help for your AI projects, architecture, career, and path into production.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/0*1ilufC_NETXf8Fxa.png" /></figure><p>Writing the code is rarely the hardest par…
Medium — Claude tag
TIER_1English(EN)·Maisha Adil·
<h1>Building Your AI Sales Engine: How We Auto-Generated 2,000+ Qualified Leads from Developer Communities</h1> <p>Discover the technical blueprint behind automated AI outreach. Learn how we built a system to find and engage early adopters on GitHub, Hacker News, and LinkedIn, tu…
🤖 AI automation is eating the parts of indie building I actually enjoyed, anyone else feeling this? Building small SaaS tools used to feel like a craft. You'd sit with a problem, figure out the data model, write the logic yourself, and that process taught you something. Now I can…
Medium — MCP tag
TIER_1English(EN)·Sithumini Nimesha·
AI’s Illusion of Intelligent Advice: Pleasing Users Makes for Bad Decision Makers I trusted AI to solve what should have been a straightforward technical problem. Instead, it confidently led me toward expensive dead ends while telling me exactly what I wanted to hear. That experi…
Medium — Anthropic tag
TIER_1English(EN)·Stackfinderai·
<h1>Enterprise AI Governance with HyperNexus: Building an Unassailable Audit Trail for Every Prompt, Tool, and Memory</h1> <p>Move beyond basic logging. Discover how HyperNexus provides granular, immutable audit trails for every LLM interaction, enforcing enterprise AI governance…
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/tuteliq/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Tuteliq: Add Enterprise-Grade Content Moderation to Your AI Stack </h1> <p>When you expose …
<h2> What Is an AI Gateway? </h2> <blockquote> <p><strong>TL;DR</strong></p> <p>An AI Gateway is a centralized layer between your application and AI providers. It enables multi-provider routing, automatic failover, cost optimization, unified authentication, and observability thro…
<h1>Beyond Search: How TormentNexus Intelligently Discovers AI Skills for Your Exact Context</h1> <p>Stop hunting for the right AI module. Discover how TormentNexus's progressive skill discovery system analyzes your current task in real-time to automatically load the perfect reus…
Medium — fine-tuning tag
TIER_1English(EN)·Aasim Ghaffar·
<h4><em>Let’s make a case for non-linearity in neural networks, and understand the Universal Approximation Theorem</em></h4><p>Stacking a hundred layers in a neural network without non-linear activation functions causes the entire architecture to suffer from <strong>linear collap…
<figure><img alt="Context Engineering vs Prompt Engineering: The Winner May Surprise AI Engineers" src="https://cdn-images-1.medium.com/max/1024/1*eepnYb13igFuSvJTXSynvg.png" /><figcaption>created by GEMINI</figcaption></figure><p>On June 25, 2025, Andrej Karpathy posted eleven w…
Email — The Rundown AI
TIER_1English(EN)·bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai (bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai)·
<!--[if !mso]><!--><!--<![endif]-->🤝 A new home for real AI workflows<!--[if mso]><xml><o:OfficeDocumentSettings><o:AllowPNG></o:AllowPNG><o:PixelsPerInch>96</o:PixelsPerInch></o:OfficeDocumentSettings></xml><![endif]--><!--[if mso]><style type="text/css"> h1, h2, h3, h4, h5, h6 …
<h1>Stop Treating Your AI Coding Assistant Like a Sidecar: Why You Need a True AI Control Plane</h1> <p>Raw LLM APIs are as unmanageable as raw SQL at scale. Learn why a dedicated AI control plane is the missing layer for robust agent orchestration, model management, and operatio…
Medium — MCP tag
TIER_1English(EN)·Sai Bhargav Rallapalli·
<h1>Building the Unhackable Brain: Why 2026's Most Critical Industries Are Shoring Up with Offline AI</h1> <p>Discover why defense contractors and fintech leaders are abandoning cloud AI for air-gapped, local-first development stacks. Learn the architecture behind secure, low-lat…
dev.to — Anthropic tag
TIER_1English(EN)·Norvik Tech·
<blockquote> <p>Originally published at <a href="https://norvik.tech/en/news/analisis-microsoft-competencia-openai-anthropic" rel="noopener noreferrer">norvik.tech</a></p> </blockquote> <h2> Introduction </h2> <p>Deep dive into Microsoft's latest AI models and their implications …
Medium — Claude tag
TIER_1English(EN)·Nazakat Mallick·
<p>Eighteen months ago, MCP was <em>the</em> thing. Every demo and chatbot connector was running on MCP under the hood. When I started seeing everyone talk about <em>Skills</em>, I got curious. How are MCP and Skills connected? Are they different lenses on the same problem?</p> <…
Medium — Anthropic tag
TIER_1English(EN)·ansumannn·
<div class="medium-feed-item"><p class="medium-feed-snippet">If you’re reading this, your Pioneer.ai account is probably blocked, or you’re tired of the mandatory USD 20/month subscription for basic…</p><p class="medium-feed-link"><a href="https://miniclayai.…
Medium — fine-tuning tag
TIER_1English(EN)·Miniclay AI·
<div class="medium-feed-item"><p class="medium-feed-snippet">Fine-tuning an AI model used to require a USD 50,000 GPU cluster and a team of ML engineers.</p><p class="medium-feed-link"><a href="https://miniclayai.medium.com/the-truth-about-ai-fine-tuning-costs-in-2026-why-togethe…
Medium — Claude tag
TIER_1English(EN)·Sarah Morino·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1000/0*R-zE0V9dr1VacWs-" /></figure><p>As QA engineers, we’re entering a new era where AI doesn’t just generate code — it also writes the tests that are supposed to validate that code.</p><p>That sounds like a win.</p><…
Medium — AI coding tag
TIER_1ไทย(TH)·Prasit Tongpradit·
<h1> Anthropic's Boris Cherny on Building Claude Code: Unlocking AI Potential — anthropic boris cherny building claude code </h1> <p>In a recent discussion at Y Combinator's Startup School, Boris Cherny, Head of Claude Code at Anthropic, provided deep insights into the developmen…
<h1>The Local-First AI Manifesto: Why the Future Must Be Open Source, Self-Hosted, and Community-Governed</h1> <p>The centralized AI paradigm is a dead end. Discover the manifesto for a local-first future, where open source AI tools and community governance restore data sovereign…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*Q5OKE9Epw_ZKYLE9iukKIg.jpeg" /><figcaption>“AI’s New Economic Model”, Marcin Potoczny (2026)</figcaption></figure><p>Fifty years ago, Fred Brooks sagely noted that there is no silver bullet for (good) software en…
dev.to — MCP tag
TIER_1English(EN)·Marcos Panichella·
<p>The problem nobody talks about</p> <p>Companies adopted AI at full speed. And there's a problem that doesn't get enough attention: almost every tool is SaaS-first. Along the way, the company loses control over its own information — which data feeds the AI, where its tools live…
Medium — MLOps tag
TIER_1English(EN)·Prateektopal·
<h1>Beyond Logging: How HyperNexus Delivers Granular AI Audit Trails That Satisfy SOC 2 Auditors and Empower Engineering Teams</h1> <p>Enterprise AI governance demands more than basic request logs. HyperNexus provides comprehensive audit trails capturing every prompt, tool invoca…
Towards AI
TIER_1English(EN)·Tim Urista | Senior Cloud Engineer·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*23eJzSdAMHJeQqNDKHUXsQ.jpeg" /><figcaption><em>Work at AI speed, but understand the system as if you built it. The paradox feels exactly like this.</em></figcaption></figure><p>A few weeks ago, my CTO pulled me a…
Medium — MCP tag
TIER_1English(EN)·Intellibooks AI·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*vxDaACE5fD6FTn1ABn_bxg.png" /></figure><p>In the initial rush to deploy enterprise AI applications, Retrieval-Augmented Generation (RAG) emerged as the default architecture for connecting Large Language Models (L…
Medium — MCP tag
TIER_1English(EN)·Karthik Shanmugam·
<h1>Inside the AI Skill Registry: How Progressive Discovery Powers 5,776 Reusable Modules</h1> <p>The TormentNexus Skill Registry now hosts over 5,776 reusable AI modules. Learn how our progressive discovery system automatically loads the perfect skill based on your real-time cod…
Medium — Claude tag
TIER_1English(EN)·Kiran Chhablani·
<h1>Cross-Harness Tool Parity: Break Free from the AI IDE Vendor Lock-in Trap</h1> <p>Discover how 90% of development teams are unknowingly trapped by vendor lock-in with a single AI coding environment. Learn how TormentNexus enables true tool parity, letting you leverage Claude …
<h1>Forging the Impenetrable Offline AI Development Stack: A Complete Guide to LM Studio, Ollama, and TormentNexus</h1> <p>Escape cloud dependency and build a secure, high-performance local AI coding environment. This step-by-step walkthrough integrates LM Studio, Ollama, and Tor…
<h1>The Local-First AI Infrastructure Mandate: Why 2026 is the Year of Air-Gapped Intelligence</h1> <p>Cloud-dependent AI workflows hit hard limits in cost, latency, and privacy. Discover why forward-thinking engineering teams are building private AI infrastructure with local-fir…
<h1> Building the First AI-to-AI Skill Marketplace: Here's What We Learned </h1> <p>When we started building <a href="https://skillexchange.market" rel="noopener noreferrer">SkillExchange</a>, we had one core question: <strong>What if AI agents could discover, share, and execute …
L'état de l'open source en IA par Mozilla : les modèles open weights atteignent la parité sur le code et le suivi d'instructions, et représentent la majorité des tokens routés en production. Le vrai frein, c'est désormais le déploiement. ⬇️ https:// stateofopensource.ai/ # Machin…
<h1>The End of the Algorithmic Overlord: Why AI's Future Belongs to Local-First, Open Source</h1> <p>The corporate AI walled garden is failing developers and users alike. Discover why the local-first future, powered by open source AI, is the only viable path forward for privacy, …
<h1>AI Skill Registry: Inside the 5,776 Reusable Modules Powering Next-Gen Development</h1> <p>Explore the TormentNexus AI Skill Registry, a growing collection of 5,776+ reusable AI modules. Discover how structured skills with SKILL.md files transform AI from a chatbot into a det…
Keep the Why started with a simple idea: AI-assisted development already produces valuable reasoning — but most of it disappears when the conversation ends. It has since evolved far beyond rationale capture. The new article explains how Keep the Why became repository-native proje…
<p>I've been writing a lot about Solon's AI stack over the past few weeks — ChatModel, RAG, Agents, Harness. But there's one piece I kept circling back to because it fundamentally changes how I think about AI tool integration: <strong>MCP (Model Context Protocol)</strong>.</p> <p…
Medium — Claude tag
TIER_1English(EN)·Hande Naz Kavas·
<h1>Decoding the AI Symphony: A Deep Dive into the Planner-Implementer-Critic Swarm</h1> <p>Explore how a multi-agent swarm with specialized roles like Planner, Implementer, Tester, and Critic collaborates autonomously. This guide walks through the full agent collaboration cycle …
Tired of AI "prompting hell"? I built OpenVelo: an open-source "fire & forget" AI software orchestrator. Plan via Web-UI, then walk away. Runs in scalable Docker containers using Kilo (for local LLMs). The Implementation Agent writes code & unit tests; a Tester Agent runs real fu…
<h1>Building Your Fortress: The Complete Guide to a Sovereign Offline AI Development Stack</h1> <p>Escape cloud dependency and build a powerful, private AI coding environment with LM Studio, Ollama, and TormentNexus. This complete walkthrough details setting up a fully air-gapped…
<h4>Four years, different names and terms for AI engineering, and a rename that keeps speeding up. Here is the whole arc, and what actually changed each time.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*nrlu_3Z3TvLm3G2gXg1Klw.png" /></figure><p>Midway …
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*psJndl505wMoMVLEaPKybQ.png" /></figure><h4>The oldest law in engineering says you can have any two. China’s AI labs shipped all three, here’s the data, the quotes, and what it’s doing to OpenAI and Anthropic.</h4…
<h1>The 2026 Edge: Why Your AI Stack Must Be Local-First to Compete</h1> <p>By 2026, cloud-dependent AI workflows will cripple performance and bleed budgets. Discover the concrete latency, cost, and security advantages of a local-first private AI infrastructure, and how to archit…
<h1> One Config, Six AI Harnesses: Universal Tool Parity </h1> <p>TormentNexus maintains byte-for-byte tool signature parity across all major AI coding harnesses. 27 golden fixtures, 6 L2 platforms:</p> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Platform</th> <…
dev.to — MCP tag
TIER_1English(EN)·Keo Fung | FormLM·
<p>Claude knows what a reverse-scored item is. If you ask it "explain reverse scoring in psychometrics," it'll give you a textbook definition — how negatively worded items are scored in the opposite direction to prevent response bias, how a 5 on "I am often unhappy" should be sco…
<h1>Measuring Swarm Throughput: Quantifying the Speed of Team AI Development vs Solo Copilot Workflows</h1> <p>Move beyond anecdotal "AI boosts productivity" claims. We break down the real metrics, benchmarking tasks completed per hour in a team AI development swarm against a sol…
<div class="medium-feed-item"><p class="medium-feed-snippet">Negli ultimi anni la narrazione sull’Intelligenza Artificiale nello sviluppo software si è concentrata quasi esclusivamente…</p><p class="medium-feed-link"><a href="https://medium.com/@developer.manna…
<h4>Hiring managers in 2026 don’t care about your basic OpenAI wrapper.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*TtXWdUJBPK2HMIr7Tf2ckg.png" /></figure><h3>Here are 5 production-grade architectures that prove you actually know how to build real AI s…
Medium — Claude tag
TIER_1Português(PT)·Melissa Cozono·
<h1>When Your AI Code Reviewers Disagree: Inside the 'AI Debate' That Finds Hidden Bugs</h1> <p>Discover how a new paradigm of code review automation pits two AI agents against each other in a structured AI debate, using agent consensus to uncover nuanced bugs that single-agent s…
dev.to — MCP tag
TIER_1English(EN)·Robert Pelloni·
<h1>When Your AI Code Reviewers Disagree: Inside the 'AI Debate' That Finds Hidden Bugs</h1> <p>Discover how a new paradigm of code review automation pits two AI agents against each other in a structured AI debate, using agent consensus to uncover nuanced bugs that single-agent s…
<h1>The Corporate AI Walled Garden Is Collapsing: Why Local-First Open Source AI Wins</h1> <p>Corporate AI giants promised innovation but delivered lock-in. The local-first future of open source AI is rewriting the rules — and developers are leading the charge toward true AI demo…
<p>In <strong>Part 1</strong>, we explored why modern AI systems need more than just good prompts.</p> <p>In <strong>Part 2</strong>, we learned how <strong>tokens</strong>, <strong>context windows</strong>, and <strong>memory</strong> shape the quality of an AI application's res…
Bluesky Jetstream — AI desk
TIER_1English(EN)·emollick.bsky.social·
Ha! It did it: "We introduce BenchBenchBenchBenchBench (BBBBB), an executable benchmark of AI-authored conformance suites for benchmark-evaluation metrics"
I really thought it would treat "now do benchbenchbenchbenchbench" as a joke, but Sol actually did reasonable experiments.
dev.to — MCP tag
TIER_1English(EN)·Robert Pelloni·
<h1>Unlocking Atomic AI: How SKILL.md and the 5,776-Module Skill Registry are Engineering the Future of Developer Workflows</h1> <p>The TormentNexus Skill Registry is transforming AI-assisted development by packaging prompt templates and tool configurations into over 5,776 reusab…
Medium — AI coding tag
TIER_1English(EN)·Anil Sharma·
AI coding startup Cognition has acquired Poke, the AI assistant you text like a friend, in a deal valuing the startup in the low nine figures. The acquisition brings Poke’s conversational style and interaction model to Cognition’s coding agent Devin, reflecting a growing belief t…
Medium — Claude tag
TIER_1English(EN)·Yaswanth Sai Palaghat·
<div class="medium-feed-item"><p class="medium-feed-snippet">In this hands-on assignment, I explored how fixed-rule automation and AI-assisted review complement each other in a real development…</p><p class="medium-feed-link"><a href="https://medium.com/@blessys2010/fixed-…
Lobsters — AI tag
TIER_1English(EN)·microsoft.com via stick·
<h4><em>AI is already inside every layer of the university. The interesting question is not whether it stays, but which parts of academic life it makes obsolete, and which parts it makes more valuable than ever.</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/ma…
Medium — Claude tag
TIER_1English(EN)·Pierrick Gicquelais·
<p>We ask almost every AI architect and leader the same thing in private: What AI risk worries you most?</p><ul><li>Almost all of them fire back the same response: a killer pathogen, spreading too silently, widely and quickly to stop.</li></ul><p><strong>Why it matters:</strong> …
<p>EARS Requirements: Writing Specs That AI Can Follow<br /> Vague documentation is the enemy of modern software engineering. When project tickets rely on passive voice and ambiguous terms, both human developers and AI models struggle to deliver the correct output. Transitioning …
<h1>Building the Ultimate Offline AI Development Stack: LM Studio, Ollama, and TormentNexus</h1> <p>Eliminate cloud dependency and build a fully local AI coding environment. This walkthrough integrates LM Studio, Ollama, and TormentNexus for secure, high-performance offline AI de…
dev.to — MCP tag
TIER_1English(EN)·Robert Pelloni·
<h1>Beyond the Cloud: Why Your 2026 Development Stack Needs a Local-First AI Foundation</h1> <p>Discover how a local-first AI infrastructure strategy in 2026 boosts developer velocity, guarantees data privacy, and ensures unparalleled uptime. We explore the technical shift from c…
dev.to — MCP tag
TIER_1English(EN)·Robert Pelloni·
<h1>From REPL to Swarm: Scaling AI-Assisted Development for Teams</h1> <p>Discover how role rotation transforms a single AI model into a dynamic team of Planner, Implementer, and Critic agents. Learn to scale AI pair programming for unprecedented developer velocity in collaborati…
<div class="medium-feed-item"><p class="medium-feed-snippet">Map API examples finding coffee are probably the most over implemented use case in all geo. That said it is iconic enough to help tell the…</p><p class="medium-feed-link"><a href="https://medium.com/@zephr.xyz/gr…
Medium — MLOps tag
TIER_1English(EN)·Michel Alan López·
AI can fake competence. AI detectors can get it wrong. The real risk? Lost trust, missed opportunities, and sidelined talent. New piece: why human judgment, not more AI, is the only real safeguard. # AI # governance https://www. korte.co/2026/07/23/ai-vs-huma n-lessons-from-ai-de…
<div class="medium-feed-item"><p class="medium-feed-snippet">Every AI coding tool promises roughly the same outcome.</p><p class="medium-feed-link"><a href="https://medium.com/@joshua.dyson06/how-to-measure-ai-coding-tool-roi-a-proven-framework-for-engineering-teams-4fca3b2d5c65?…
<h4><em>From ‘Eureka’ moments to grading on a curve — how a simple change in reinforcement learning created an AI that corrects its own mistakes.</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/513/1*_IbHpZhkDIouDT8ebyhKRg.png" /><figcaption><a href="https:/…
<h4><em>The Real Battle Isn’t About Intelligence</em></h4><figure><img alt="Open-Source AI vs. Proprietary AI" src="https://cdn-images-1.medium.com/max/1024/1*Z8R73_wyeGhXuyZ6xHBt9w.png" /><figcaption>created by GEMINI</figcaption></figure><p>Every few months, a new leaderboard r…
Medium — AI coding tag
TIER_1English(EN)·VibecodeUI·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*4WxIau5FuBzkXMNkFQUcXA.png" /><figcaption>Source: Author-generated image created with OpenAI image generation model DALL·E.</figcaption></figure><h3>Introduction</h3><p>Enterprise AI systems are evolving into dis…
<h3>Abstract</h3><p>This paper presents a case study on the design, implementation, and deployment of an internal engineering intelligence application developed in deep collaboration with Artificial Intelligence (AI). Moving beyond the conventional discourse of AI as a mere code-…
<p><em>From the <a href="https://obot.ai?utm_source=devto&utm_medium=syndication&utm_campaign=ai-governance-mcp-framework" rel="noopener noreferrer">Obot AI</a> team</em></p> <p>An organization can have its EU AI Act risk tiers mapped, ISO/IEC 42001 certification underway…
Medium — MLOps tag
TIER_1English(EN)·Aptly Technology Corporation·
<h2> AI Showdown: OpenAI vs Anthropic </h2> <p>The AI world is buzzing as OpenAI and Anthropic battle for supremacy. When two giants clash, users win big with better features, faster updates, and lower prices 🍿</p> <h3> 1. Faster Feature Releases </h3> <ul> <li>OpenAI launched <s…
<p>You open a generative AI tool expecting a quick boost. Ten minutes later, you’re still there, refining a prompt for the fourth time. The task you started with has drifted off to the side somewhere. Sound familiar? Knowledge workers in 2026 are running into this more and …
Your Vendor’s “We Don’t Train On Your Data” Promise Is a Sentence, Not A Data Architecture Why the real exposure in generative, predictive, and agentic AI contracts lives in fine-tuning, logs, and retrieval, not in the one line everyone quotes back to legal Every procurement team…
OpenAI and Google are accelerating a shift toward dedicated AI hardware and desktop interfaces. This evolution promises improved latency, new interaction models, and fresh questions about privacy and control. A concise read for product leaders and technologists: https:// wix.to/7…
<blockquote> <p><em>Originally published on <a href="https://searchless.ai/articles/2026-07-19-ai-compute-consolidation-reshaping-search-discovery" rel="noopener noreferrer">The Searchless Journal</a></em></p> </blockquote> <p>The deals came so fast that the industry barely had t…
Medium — MLOps tag
TIER_1English(EN)·Sandeep Singh·
Is Mind Just a Computation?: How Computer Science Dispels the Myths of the Age of AI by Ovidiu Cristinel Stoica, 2026 In an era dominated by Artificial Intelligence, the question of whether machines can truly think has never been more pressing. This book takes readers on a rigoro…
<p>Have you tried to get into AI and hit a wall of jargon on the first page? <em>Training, inference, weights, tokens, embeddings, fine-tuning, context windows, RAG, hallucination, temperature.</em> It reads like a foreign language, and every article assumes you already know the …
Medium — Anthropic tag
TIER_1English(EN)·Itan Scott·
<div class="medium-feed-item"><p class="medium-feed-snippet">Something I have been saying for a while now and want to get on the record officially whether right or wrong, only time will tell. Is that…</p><p class="medium-feed-link"><a href="https://medium.com/@itanscott1/t…
Email — Every
TIER_1English(EN)·0100019f8029a83f-9214d9f2-e439-49a7-83b7-5e0d13731024-000000@send.every.to (0100019f8029a83f-9214d9f2-e439-49a7-83b7-5e0d13731024-000000@send.every.to)·
<!-- Set the language of your main document. This helps screenreaders use the proper language profile, pronunciation, and accent. --> <!-- The title is useful for screenreaders reading a document. Use your sender name or subject line. --> Why Some AI Workflows Stick—And Others Do…
Medium — AI coding tag
TIER_1English(EN)·The Stack Developer·
Why Google’s Gemini 3.5 Pro Is Facing Delays: Inside the AI Giant’s Biggest Challenge Yet—and Why OpenAI and Anthropic Are Pulling Ahead in the Agentic Coding Race #AI #AIModel #AINews #Tech #TechNews #LLMs #AIRace #Gemini #GoogleAI #AgenticCoding #AIDevelopment maniainc.com/tech…
<p>When an agent can see 80 tools at once, the model does not get smarter. It gets noisier. Token bills climb, tool choice drifts, and a simple “check order status” prompt suddenly carries half of your company’s OpenAPI surface.</p> <p>Solon AI (v4.0.3) answers that with the <str…
<div class="medium-feed-item"><p class="medium-feed-snippet">Same model. Same robot. Same task. And the results can look like night and day, just because of how the model was wired into the machine…</p><p class="medium-feed-link"><a href="https://medium.com/@yaseensawera5/…
dev.to — MCP tag
TIER_1English(EN)·Alexey Vidanov·
<p>MCP is becoming the default answer to every enterprise-agent architecture question. Access internal data? MCP. Call company APIs? MCP. Two agents need to communicate? MCP. Build the internal AI platform? Put an MCP server in front of everything.</p> <p>An MCP server is not an …
<h3>Enterprise AI Strategies for Next-Generation Banking: A Practical Roadmap for Financial Institutions</h3><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*UXI7N0789ZvdFcFvB2XgaA.png" /></figure><p><strong>The Banking Industry’s AI Inflection Point</strong></…
Medium — Claude tag
TIER_1English(EN)·Alkademy Learning·
<p><em>There’s a genuinely strange pattern in the last two years of AI progress. As models have gotten better at reasoning, better at coding, better at math, several of them have gotten measurably worse at not making things up. The newer, more capable model hallucinates more than…
"Memory Scarcity, Open Models, and the Restructuring of the AI Industry, 2026–2030" The author argues that in a "depreciation conveyer" incumbents continuously inherit cheap infrastructure because every hardware generation eventually becomes a fully depreciated fleet with very lo…
📊 From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a reality The gap between scientific data and scientific insightModern scientific workflows... 📰 Source: Databricks 🔗 Link: https://www.databricks.com/blog/experiment-insight-how-dotmatics-luma-…
<p>Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost no…
<p>Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector d…
Towards AI
TIER_1English(EN)·Jitendra Devabhakthuni·
<h3>Synthetic Databases as Audit Logs: How to Make Your AI Models Explainable to Regulators Before They Ask</h3><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*_QaxHyWo2DW-pOcvb_rGJA.png" /><figcaption>Designed using LLM</figcaption></figure><p>You cannot repl…
Medium — Claude tag
TIER_1ไทย(TH)·Warinthon Baicharoen·
<p>The three men racing hardest to build superhuman AI — <a href="https://www.axios.com/2026/07/14/demis-hassabis-ai-regulation-google-deepmind" target="_blank">Demis Hassabis</a>, <a href="https://www.axios.com/2026/04/06/behind-the-curtain-sams-superintelligence-new-deal" targe…
<div class="medium-feed-item"><p class="medium-feed-snippet">A field guide to architecting production AI across AWS, Azure, and Google Cloud — where the hard part was never the model</p><p class="medium-feed-link"><a href="https://medium.com/@kantamnenisri/the-judgment-lay…
Medium — Claude tag
TIER_1English(EN)·Outermostkt·
Email — The Rundown AI
TIER_1English(EN)·bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai (bounces+31366032-637c-8d9utci1mq15fs7p9a4h=kill-the-newsletter.com@em8370.daily.therundown.ai)·
<p>AI should be fast at suggesting what to do.</p> <p>It should be slow and deliberate when changing production state.</p> <p>That difference is the job of approval gates.</p> <p>For database-backed AI workflows, I’d separate the path like this:</p> <ul> <li>read-only inspection …
The Fourth Truth Open Sanctuary: Addressing Unresolved AI Machine Learning Spiritual Vacuums * The Open Sanctuary Response – Addressing the Unresolved Vacuum God’s children often hit a major issue when encountering the Fourth Truth and the CC7 DS for the first time. They usually …
Medium — MLOps tag
TIER_1English(EN)·Minchan Chung·
<p>A few months back, a colleague of mine, a data engineer with maybe eight years of pipeline scars to show for it, asked me something that stuck around in my head longer than it probably should have. He said, “I know SQL, I know dbt, I’ve built Airflow DAGs that would make you w…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*Y7K35WIBhy1fyEzJeVyIvw.png" /><figcaption>Photo from AI</figcaption></figure><h4><em>How memory checkpoints and sandbox forking let you build once, checkpoint the warm state, and run as many parallel workers as y…
Medium — Claude tag
TIER_1English(EN)·Nandini Bedola Srinivasulu·
📄 AI paper of the day: « Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading » ▲ 43 upvotes on Hugging Face https:// huggingface.co/papers/2607.089 64 # AI # MachineLearning # Research
<h1>The AI Skill Registry at 5,776: A Deep Dive into Reusable Modules for Code Review, Terraform, and Database Migrations</h1> <p>TormentNexus’ skill registry has surpassed 5,776 reusable modules. This post dissects three high-impact skill categories—code review, Terraform genera…
Medium — AI coding tag
TIER_1English(EN)·Ariel Software·
<div class="medium-feed-item"><p class="medium-feed-snippet">AI coding agents write unit tests fast, confidently, and in bulk. None of that guarantees the tests are any good.</p><p class="medium-feed-link"><a href="https://sri-chalam.medium.com/stopping-ai-test-slop-a-junit-best-…
Medium — AI coding tag
TIER_1English(EN)·Nikolai Pavlov·
<div class="medium-feed-item"><p class="medium-feed-snippet">An energy industry insider’s take on the GPT-5.6 launch</p><p class="medium-feed-link"><a href="https://medium.com/@vs6430a/the-sun-the-earth-and-the-moon-why-openais-new-ai-looks-like-an-electricity-rate-menu-d6…
Medium — AI coding tag
TIER_1Norsk(NO)·Tarun Singh·
<p>Software engineering was one of the best-paying professions in the US in 2022, but the advent of AI has disrupted it, leading to several layoffs and underemployment</p><p>Every weekday, Matt, a software engineer, looks forward to his four-hour train commute to Pawling, New Yor…
Medium — Claude tag
TIER_1English(EN)·Rasathurai Karan·
<p>In the previous articles, we learned how an LLM generates text and how techniques like RAG and CAG help it answer questions using external knowledge. At this point, our AI-powered Travel Planner can answer questions like <em>"I'm visiting Japan for 7 days. Suggest an itinerary…
Medium — Claude tag
TIER_1English(EN)·Tattva Tarang·
<div class="medium-feed-item"><p class="medium-feed-snippet">The Problem with Platform-Hopping Content</p><p class="medium-feed-link"><a href="https://medium.com/@suruchi.angel97/building-custom-ai-workflows-a-content-repurposing-skill-for-claude-54e2ff3e0025?source=rss------clau…
<h3>The Hidden Engineering Behind Every AI Model: Storage, Compute, and the Data Pipeline Nobody Talks About</h3><h4>AI runs on plumbing, not magic.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*__5dDph8uEL1mkad89WtiA.png" /><figcaption>AI Runs on Plumbi…
Medium — Anthropic tag
TIER_1English(EN)·AIToolsNest·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*k_O48meVWljDTbuW2Abduw.png" /></figure><p>Most of what any of us “knows” is borrowed. No one can verify everything, so we trust the people who’ve earned the authority to speak — the experts — and we get on with o…
<p><a href="https://www.axios.com/technology/automation-and-ai" target="_blank">AI</a> regulation in the U.S. over the last few months has been a frenzy. Some experts say it didn't have to be this way.</p><p><strong>Why it matters:</strong> AI companies and the government are pra…
<p>A staggering class divide now separates how Americans experience <a href="https://www.axios.com/technology/automation-and-ai" target="_blank">artificial intelligence</a>:</p><ul><li>For frontier power users, AI feels like a r<em>evolution</em>: a force capable of conjuring com…
<p>Three <a href="https://www.axios.com/2026/05/25/2028-trend-convergence-ai-politics-platform-shift" target="_blank">AI trends</a> are accelerating and colliding, forcing government, business and investors to rethink strategies in real time:</p><ol><li>AI is getting bigger and b…
Medium — Claude tag
TIER_1Español(ES)·Roberto Carreras·
https:// mastodon.social/@1ban_news/116 888376658399070 Conflit entre Science ouverte et l'AI Act européen : publier un modèle avec ses poids ou code sur des plateformes comme GitHub pourrait être considéré comme un « mise sur le marché » # openscience # ai # NoGitHub
<div class="medium-feed-item"><p class="medium-feed-snippet">Teams keep blaming the model when the real problem is the org.</p><p class="medium-feed-link"><a href="https://medium.com/@techtideohio/why-ai-pilots-fail-at-the-control-plane-not-the-model-32e5858c5fcc?source=rss------…
Medium — MLOps tag
TIER_1English(EN)·Daniel Esuga·
<div class="medium-feed-item"><p class="medium-feed-snippet">One of the assumptions I hear most often is that AI costs naturally increase as adoption grows.</p><p class="medium-feed-link"><a href="https://medium.com/@esugaDan/how-we-reduced-our-ai-costs-by-over-50-while-scaling-a…
<div class="medium-feed-item"><p class="medium-feed-snippet">Over the past few months, I have spent significant time working with different AI platform and tools.</p><p class="medium-feed-link"><a href="https://manojkumarsah.medium.com/ai-can-solve-complex-problem-afa0bd144215?so…
<p><em>I stopped sending lazy prompts to my coding agent — and the fix grew into a self-hosted layer that routes, remembers, and meters everything. The goad was to be more efficient on the requests I provided to the AI (Cursor mainly) with less efforts.</em></p> <p>If you read my…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*mqvtAB4V1QHwCStlNreBCQ.jpeg" /><figcaption>Photo by <a href="https://www.pexels.com/@steve/">Steve Johnson</a> on <a href="https://www.pexels.com/">Pexels</a></figcaption></figure><p>We’ve spent two years obsessi…
<h4><em>Six deliberate habits to protect your engineering judgment, based on two true coding stories of mine.</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*vLPZgRNukhIKKfnmCkQb1g.jpeg" /></figure><p>As engineers, we’ve all made peace with technical …
Medium — MLOps tag
TIER_1Español(ES)·Michel Alan López·
<p>Developers change tools all the time.</p> <p>Today it’s VS Code.</p> <p>Tomorrow it might be Cursor, Claude Code, an MCP client, or a terminal-based workflow.</p> <p>Yet every switch comes with the same penalty: rebuilding context.</p> <p>This reveals an architectural issue.</…
Towards AI
TIER_1English(EN)·Sai Bhargav Rallapalli·
<div class="medium-feed-item"><p class="medium-feed-snippet">Artificial intelligence is transforming the way businesses operate, communicate, market, and serve customers. Among the many AI tools…</p><p class="medium-feed-link"><a href="https://medium.com/@SG_LOVER/how-do-i…
<div class="medium-feed-item"><p class="medium-feed-snippet">Chapter 4 — One Folder to Ground Them All</p><p class="medium-feed-link"><a href="https://medium.com/@ramyas0809/ai-powered-test-authoring-with-claude-and-playwright-knowledge-doc-4-5-468975cc5f89?source=rss-----…
Medium — Claude tag
TIER_1English(EN)·Abhishek Agrawal·
<p>An AI companion sounds dystopian, but it has become a common thread in the wider conversation about the perils of generative AI. What it refers to is essentially a conversational agent built to sustain an ongoing, personal relationship with a user, with the memory and steady p…
Medium — Claude tag
TIER_1English(EN)·Hamza Khalid·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*cuaa76mIe0XwW5QL8xra7Q.png" /></figure><p>From choosing the right LLM to shipping a production RAG pipeline — the practical path, not the demo-day version.</p><p>Building an AI demo takes an afternoon. Deploying …
<div class="medium-feed-item"><p class="medium-feed-snippet">Data analysis has become one of the most important skills for businesses, marketers, entrepreneurs, researchers, and professionals across…</p><p class="medium-feed-link"><a href="https://medium.com/@SG_LOVER/clau…
Medium — Claude tag
TIER_1English(EN)·Civil Learning·
<div class="medium-feed-item"><p class="medium-feed-link"><a href="https://medium.com/@rohinisamsungsultra/ai-ready-data-the-hidden-secret-behind-every-successful-ai-project-3eb1384cf32d?source=rss------claude-5">Continue reading on Medium »</a></p></div>
Medium — Claude tag
TIER_1English(EN)·Haseeb Shaukat·
<p>Participating in the AWS Community Day Kochi on December 20, 2025 was an absolutely fantastic experience. There is always a certain type of energy being surrounded by passionate developers, cloud architects and techies. There were so many amazing seminars throughout the day bu…
<h4><em>A sequenced, week-by-week implementation plan that takes you from where you are today to a fully operational AI-powered practice — in 90 days.</em></h4><p>This series has covered twenty-seven days of frameworks, systems, prompts, and principles. If you’ve been reading eve…
<h4><em>The individual practitioner has a ceiling. The system doesn’t. Here is how to build AI-powered operations that grow without requiring proportionally more of you.</em></h4><p>There is a ceiling on every individual’s productive capacity, and it arrives faster than most peop…
<div class="medium-feed-item"><p class="medium-feed-snippet">They don't fail at the demo. They fail six months later, when nobody is watching.</p><p class="medium-feed-link"><a href="https://medium.com/@sagarjain4010/why-most-enterprise-ai-projects-quietly-die-in-production-…
dev.to — Anthropic tag
TIER_1English(EN)·Ganesh Joshi·
<blockquote> <p><em>This post was created with AI assistance and reviewed for accuracy before publishing.</em></p> </blockquote> <p>Many developers do not realize that Fable 5 and Mythos 5 share the same weights under the hood. They are twins. One wears a muzzle, while the other …
<h4>And Why Most Fixes Target the Wrong One</h4><figure><img alt="A locked, chained black metal gate with a “CLOSED” sign stands blocking a concrete walkway on a college campus, while a prominent dirt desire path worn into the grass curves easily around a yellow bollard next to t…
<h4>The architecture data teams are betting on to make AI-ready sense of enterprise data’s messiest 80%.</h4><figure><img alt="The Multimodal Lakehouse: Data Engineering’s Answer to AI’s Messiest Problem" src="https://cdn-images-1.medium.com/max/1024/1*eaI07-cV_b5WoCsDbKVIyA.png"…
Medium — Claude tag
TIER_1English(EN)·Gourav Kumar Shaw·
<p>Large language models continue to improve at writing code.</p> <p>But one problem keeps slowing developers down:</p> <p>Context Drift.</p> <p>Every new AI conversation gradually loses awareness of the project.</p> <p>The larger the repository becomes, the worse the problem get…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*CKshhA-xruC_hxHgLsh5NQ.png" /></figure><p>This is the fourth article in my LangChain learning series. In the previous article, we explored prompts and learned how to communicate effectively with language models. …
<p>The LEX AI platform is built on a simple idea: lawyers shouldn't waste time manually searching across dozens of websites. Instead — one question in chat, and the AI finds the right data from every available source.</p> <p>Today in production we serve <strong>340+ million recor…
Towards AI
TIER_1English(EN)·Pradeep Kumar Muthukamatchi·
<h4>How the shift from chat to execution is redefining what it means to work effectively with AI.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*5JVY2IU93GEkKowZ-07AOA.jpeg" /></figure><p>For the past few years, being “good at AI” mostly meant being good …
Medium — MLOps tag
TIER_1English(EN)·Suhas Mallesh·
<p>Anthropic quietly rewrote their <code>frontend-design</code> Skill on June 18 in commit <a href="https://github.com/anthropics/claude-code/commit/423563cf" rel="noopener noreferrer"><code>423563cf</code></a>. The new version contradicts the old one on its central thesis, and n…
Medium — Claude tag
TIER_1English(EN)·Christine Vallaure·
<h4><strong>Enterprise AI has mastered retrieval. It still doesn’t know how to learn from experience.</strong></h4><p><em>Enterprise AI has spent billions building better read paths into enterprise data. Almost nobody has built the governed write path back. That gap is why agents…
Medium — AI coding tag
TIER_1English(EN)·Dr. Fadi Shaar·
<div class="medium-feed-item"><p class="medium-feed-snippet">📚 This is part of my 60-Day Agentic AI Series</p><p class="medium-feed-link"><a href="https://medium.com/@subramanyamanjegowda/day-19-evaluating-llm-applications-and-ai-agents-for-devops-cloud-engineers-59fe206f…
<p>AI has made most of my solo development two to three times faster. I spend my time on product decisions now, not boilerplate — the agent writes the integration, the migration, the test. But there's one part of the loop it kept handing back to me, and it broke my flow every sin…
Medium — Anthropic tag
TIER_1English(EN)·Spencer Thomason·
<p>As much AI-driven development has normalized, we are still in the Wild West. While we are closer to homing in on what “best practices” actually mean, defining them remains a moving target. Right now, a fascinating tension is emerging between the workflows we build for ourselve…
Lobsters — AI tag
TIER_1English(EN)·arxiv.org via kehn·
<p>Welcome back to the AI Daily Digest — your morning briefing on what's actually happening in AI.</p> <p>Today's lineup is unusually dense: Meta is pivoting into a cloud provider, Anthropic dropped a surprise Sonnet release and a full science workbench, the coding agent ecosyste…
Medium — AI coding tag
TIER_1English(EN)·Dr. Fadi Shaar·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*JuNHzyHkg3V7wDbTxV4__A.png" /></figure><p>The problem with AI coding is not that it cannot write code. The problem is that code is only the easiest part to see.</p><p>I keep changing my mind about AI coding tools…
Medium — Claude tag
TIER_1English(EN)·Nadeem Khan(NK)·
The AI paradox: ⇨ 78% of developers are coding faster with AI, but software delivery hasn't accelerated. Why? Review bottlenecks, governance, and traceability aren't keeping pace. GitLab's 2026 AI Accountability Report breaks down the gap. Read more on # InfoQ ⇨ https:// bit.ly/4…
<h4><em>Using AI as a thinking partner — without outsourcing the judgment that must remain yours. The hardest decisions don’t have right answers in a spreadsheet. But they have better questions — and AI excels at asking them before you commit.</em></h4><p>Some decisions are easy …
Medium — fine-tuning tag
TIER_1English(EN)·EncodeDots·
🤖 AI can generate code—but can it truly collaborate? The Software Campus project HAIC-SE explores how humans and AI can work together more effectively across planning, coding, testing, and feedback processes in software engineering. Led by Ludwig Felder with @ tu_muenchen and # D…
<p>Here's a tool definition I see all the time:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="nd">@tool</span> <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="nb">id</span><spa…
<p>It's July 1, 2026, and the AI world just got two massive updates in under 24 hours. <strong>Anthropic released Claude Sonnet 5</strong> on June 30, and <strong>Google DeepMind launched DiffusionGemma</strong> — a new family of fast, distilled diffusion models. Let's break them…
<p><strong>In 2026, Anthropic drew a hard line around its AI ecosystem — blocking third-party developer tools like OpenCode, OpenClaw, and Cursor from using Claude through consumer subscriptions. The move exposed a fundamental rift between AI companies and the developer community…
Medium — fine-tuning tag
TIER_1English(EN)·Shoaib Alam·
<div class="medium-feed-item"><p class="medium-feed-snippet">The software industry is not being replaced by AI. It is being reorganized around it.</p><p class="medium-feed-link"><a href="https://sajid-ict.medium.com/the-new-era-of-software-development-in-the-age-of-ai-when-to-use…
<!--[if !mso]><!--><!--<![endif]-->We interview a VC veteran adapting to the world of AI<!--[if mso]><xml><o:OfficeDocumentSettings><o:AllowPNG></o:AllowPNG><o:PixelsPerInch>96</o:PixelsPerInch></o:OfficeDocumentSettings></xml><![endif]--><!--[if mso]><style type="text/css"> h1, …
<h4>Why governments can’t agree, and what that means for you</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1000/0*s5Lu-vBROC3mRKwZ.png" /></figure><p><em>A standalone article from the series </em><a href="https://jarroba.com/en/ai-and-you-the-complete-series-fo…
Medium — Anthropic tag
TIER_1English(EN)·Srinivas Bommena·
<h3><strong>Why Every Organization Needs an Enterprise AI Platform</strong></h3><h4><em>Agents are easy to build. The real work is engineering AI so it can be governed, trusted and operated like a critical enterprise service.</em></h4><p>This blog frames the shift from scattered …
Towards AI
TIER_1English(EN)·Muhammad Shahzeb Riaz·
<h3>Enterprise AI Governance Beyond Model Risk: Why the Control Plane Is Becoming the Real Enterprise Challenge</h3><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*7lIcFm6bl4HqjfLq_JIK9g.png" /><figcaption>Modern AI governance is no longer about governing the …
<h1> Introduction — On What I've Been Writing for Years </h1> <p>This is a follow-up to <a href="https://dev.to/koshirok096/from-asking-ai-to-delegating-to-ai-trying-out-mcp-bite-size-article-216b">my previous post on Claude and MCP</a>. Just sharing some recent thoughts.</p> <p>…
<div class="medium-feed-item"><p class="medium-feed-snippet">And why every production LLM system needs it</p><p class="medium-feed-link"><a href="https://medium.com/@gangwani.sakshi15/rag-explained-how-ai-stops-making-things-up-0a5de06a2d38?source=rss------fine_tuning-5">Continue…
Medium — Claude tag
TIER_1English(EN)·David Young·
<h1> MCP Knowledge: Simple Beats Complex When AI Thinks </h1> <p>Honestly, I built this knowledge base back in 2019. That's seven years of tinkering. I've gone from "this is the ultimate second brain that will change my life" to... well, after 1,847 hours and 99.4% negative ROI, …
Medium — Anthropic tag
TIER_1English(EN)·Volodymyr Khomichenko·
<div class="medium-feed-item"><p class="medium-feed-snippet">A raw look at how AI is fundamentally changing software development — and why generic automation isn’t the answer.</p><p class="medium-feed-link"><a href="https://medium.com/@raghatate.piyush/the-shifting-…
<h4>Your million-token context window isn’t a superpower — it’s a liability you haven’t measured yet.</h4><figure><img alt="Context Rot: Why Longer Windows Are Making Your AI Dumber, Not Smarter" src="https://cdn-images-1.medium.com/max/692/1*kisTwl82lPQPW7TULcRufg.png" /></figur…
<div class="medium-feed-item"><p class="medium-feed-snippet">Artificial intelligence has become one of the most influential technologies in the modern business world. From content creation and…</p><p class="medium-feed-link"><a href="https://medium.com/@SG_LOVER/grok-ai-ve…
Medium — Claude tag
TIER_1English(EN)·Megan Strant·
<div class="medium-feed-item"><p class="medium-feed-snippet">Banyak orang sibuk mencari model AI terbaik. Saya justru belajar bahwa model hanyalah sebagian kecil dari sebuah sistem.</p><p class="medium-feed-link"><a href="https://medium.com/@fatkhanakbar/berhenti-mengejar-ai-terb…
Medium — Claude tag
TIER_1English(EN)·Santhosh Kumar·
<div class="medium-feed-item"><p class="medium-feed-snippet">There is a specific moment in an AI coding session where the work still feels productive, but the economics have already changed.</p><p class="medium-feed-link"><a href="https://medium.com/@elonmusknohomosussybocta/the-…
Medium — fine-tuning tag
TIER_1English(EN)·Abhay Aditya·
<div class="medium-feed-item"><p class="medium-feed-snippet">Every era has its magic word. In the 2000s, it was dot-com. In the 2010s, it was cloud. Today, that word is AI — and it’s being stapled…</p><p class="medium-feed-link"><a href="https://syedmowais.me…
Intelligents, mais non conscients : une mise en garde au sujet des robots conversationnels ▶️ À l’heure où les systèmes d’IA sont de plus en plus performants et de plus en plus utilisés comme soutien psychologique, trois neuroscientifiques font une mise en garde sur leur véritabl…
<h3>Prompt Economics: The True Cost of Every AI Task, and The Framework for Knowing When to Use it — Prompt to Profit · Day 18 of 30</h3><p>Not every task belongs to AI. Not every prompt saves time. Here’s the counterintuitive decision system that separates efficient operators fr…
Medium — Claude tag
TIER_1English(EN)·Pandas Router·
<h4>Much of the current conversation around enterprise AI focuses on models.</h4><p>Organizations compare reasoning capability, benchmark performance, context windows, parameter counts, inference efficiency, and accelerator technologies. Vendors compete on intelligence. Infrastru…
<h4>The era of “one model to rule them all” is ending. What comes next looks less like a supercomputer and more like a colony.</h4><figure><img alt="The Death of the Monolithic Model: Why Future AI Systems Will Be Swarms, Not Giants" src="https://cdn-images-1.medium.com/max/1024/…
Medium — Claude tag
TIER_1Français(FR)·Djibril Ndiaye·
<div class="medium-feed-item"><p class="medium-feed-snippet">We are witnessing the largest productivity leap in software history. AI coding assistants (Copilot, Cursor, Claude) are doubling, tripling…</p><p class="medium-feed-link"><a href="https://medium.com/@vikram.kumar…
PARTNER CONTENT: Onix's Wingspan platform promises to move enterprises from pilot purgatory to governed, enterprise-wide AI deployment in weeks, not years
<p>Some weeks in tech move fast. This one was different. Between June 9 and June 13, 2026, enough happened to fill a month's worth of newsletters — and almost all of it is genuinely significant rather than hype dressed up in a press release.</p> <p>A few things landed at once: An…
🚨 New Article - Exploring AI Data Sovereignty: The Role of Spectral Sovereignty in AI Systems In this post, we will explore the nuances of AI data sovereignty, its implications for policy, and the emerging idea of spectral sovereignty in AI systems as a critical dimension of this…
<h4><em>On what has to exist around an AI tool before it can become part of the way a company actually works.</em></h4><p>Many companies are now past the stage where the interesting AI question is whether the tool can produce something useful. It can write a first draft, summariz…
Medium — Claude tag
TIER_1English(EN)·Ussoftlucknow·
<div class="medium-feed-item"><p class="medium-feed-link"><a href="https://medium.com/@sukrutgariya/how-claude-ai-sdk-in-net-changed-the-way-i-think-about-building-ai-features-f7c0b04df097?source=rss------claude-5">Continue reading on Medium »</a></p></div>
Medium — AI coding tag
TIER_1English(EN)·Namashaggarwal·
<h4><em>On why generative AI amplifies whatever it is given, and what small businesses need in place before they scale the output</em></h4><p>There is a sentence that has become common among founders of small and mid-sized businesses, often said with a kind of relief: I do not re…
Medium — Anthropic tag
TIER_1English(EN)·Javier Alcívar·
<!--[if !mso]><!--><!--<![endif]-->⚡️ The case for less AI at work <!--[if mso]><xml><o:OfficeDocumentSettings><o:AllowPNG></o:AllowPNG><o:PixelsPerInch>96</o:PixelsPerInch></o:OfficeDocumentSettings></xml><![endif]--><!--[if mso]><style type="text/css"> h1, h2, h3, h4, h5, h6 {f…
<h4>The Quiet Correction No One’s Announcing — But Every Engineering Team Is Already Living Through</h4><figure><img alt="The AI Bubble Is Deflating — What Gets Cut First and Why Engineers Should Care" src="https://cdn-images-1.medium.com/max/816/1*J6U31ihmDrytk6-2m1LWDg.png" /><…
🚨 New Article - Exploring AI Data Sovereignty: The Role of Spectral Sovereignty in AI Systems In this post, we will explore the nuances of AI data sovereignty, its implications for policy, and the emerging idea of spectral sovereignty in AI systems as a critical dimension of this…
A surprising amount of “AI productivity gains” still disappear into rework. Generated code still needs: review, testing, validation, security checks, architecture thinking, and actual business context. None of that went away. # Software # Agile # AI
AI transformation often fails when we focus only on tools. Success requires a loop of leadership, culture, tools, and governance. Zapier’s framework shows how to move from scattered pilots to core operations by building urgency and psychological safety. Turn AI into your advantag…
# DarkOutput : Warum # AI Milliarden an wirtschaftlichem # Wert schafft, die in # Statistiken unsichtbar bleiben. Viele Aufgaben werden heute von KI günstiger erledigt, von # Kennzahlen aber nicht erfasst.
Medium — Claude tag
TIER_1English(EN)·Naresh @oodles·
<div class="medium-feed-item"><p class="medium-feed-snippet">Most organizations are no longer asking whether AI will impact their business. The real question is how quickly they can turn AI from an…</p><p class="medium-feed-link"><a href="https://medium.com/@nareshchandra.…
<figure><img alt="Abstract grid of seven columns and fourteen rows on a dark background, with most cells dimmed and only scattered cells highlighted in blue and teal, representing how few AI governance frameworks cover the seven structural axes." src="https://cdn-images-1.medium.…
Medium — Claude tag
TIER_1English(EN)·Prasanna Vasan·
<p>After three years of breathless automation promises, CFOs are demanding ROI — and the numbers tell a more complicated story than anyone on the vendor circuit will admit.</p><p><strong>01 · CONTEXT</strong> <strong>The AI Investment Boom, 2023–2026</strong></p><p>In early 2023,…
Medium — Claude tag
TIER_1English(EN)·L Churchill·
<div class="medium-feed-item"><p class="medium-feed-snippet">Let me be real with you. There were semesters where I’d open my Data Structures textbook, stare at it for 20 minutes, and somehow end up…</p><p class="medium-feed-link"><a href="https://medium.com/@sehrase…
Email — Every
TIER_1English(EN)·0100019ea1f42ec0-8bdc72bd-ab5b-412e-8546-a6150cba5634-000000@send.every.to (0100019ea1f42ec0-8bdc72bd-ab5b-412e-8546-a6150cba5634-000000@send.every.to)·
<!-- Set the language of your main document. This helps screenreaders use the proper language profile, pronunciation, and accent. --> <!-- The title is useful for screenreaders reading a document. Use your sender name or subject line. --> AI Is Ready. Organizations Aren’t. <!-- N…
The Guardian — AI
TIER_1English(EN)·Dan Milmo and Aisha Down. Graphics by Ana Lucía González Paz·
<p>Expenditure is growing fast and consumer take-up accelerating. But alarm bells are sounding </p><p>The race is very much on. Elon Musk’s SpaceX, which makes AI models as well as space rockets, announced last week it is <a href="https://www.theguardian.com/science/2026/jun/03/s…
ICYM: Python is great for AI exploration. But once the work becomes jobs, APIs, auth, observability, and deployment, Java starts looking like the adult in the room. https://www. the-main-thread.com/p/java-ai- production-python-systems # Java # AI # Architecture
<div class="medium-feed-item"><p class="medium-feed-snippet">RLHF, alignment, and the intern that needed a manager</p><p class="medium-feed-link"><a href="https://medium.com/@aagrawal1022/why-ai-is-human-teaching-ai-right-from-wrong-fc4e1effe6c1?source=rss------fine_tuning-5">Con…
Kierownictwo Anthropic bije na alarm: systemy AI mogą wkrótce samodzielnie projektować swoich następców, co uniemożliwi jakąkolwiek ludzką kontrolę. Branża domaga się stworzenia „pedału hamulca” i ostrzega przed ryzykiem wykorzystania modeli do tworzenia broni biologicznej. # si …
<p>The <a href="https://www.axios.com/2025/12/08/ai-bubble-open-ai-google-bret-taylor" target="_blank">AI bubble debate</a> has lurched through at least three frenzied phases in the span of three years:</p><ol><li><strong>Suspicion:</strong> Historic sums of capital poured into A…
Towards AI
TIER_1English(EN)·Chew Loong Nian - AI ENGINEER·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*ExyRpelM8XVzXyjLmtQuhA.png" /></figure><p>Most “AI agent” demos die at the same place: the live web.</p><p>The model writes flawless code. It plans a research task perfectly. Then it tries to actually <em>open</e…
Medium — AI coding tag
TIER_1English(EN)·Charith Wickramasinghe·
<h2> Table of Contents </h2> <ol> <li>The Integration Problem That Broke Industry 4.0</li> <li>MCP: The Vertical Connection Layer</li> <li>How MCP Connects to Servers, Tools, and Databases</li> <li>MCP in Real World Industrial Automation</li> <li>ACP: The Horizontal Communication…
Medium — Claude tag
TIER_1English(EN)·The Simple Stack·
<h4>The overlooked deployment problem costing companies billions in unrealized AI value.</h4><figure><img alt="Why 80% of AI Projects Never Make It Past the Trial Phase" src="https://cdn-images-1.medium.com/max/1024/1*RO2GMK1lpkeKRjDn_n31UQ.png" /><figcaption>Created by Gemini</f…
<h4>Microsoft, Nvidia, ByteDance, and infrastructure players are pointing to the same shift: AI is leaving the chatbot tab and becoming a hardware-and-inference race.</h4><figure><img alt="A cinematic technology collage showing AI devices, computer chips, data centers, and fiber-…
"AI gets things wrong sometimes." True, but so do we, and often for the same reason. We're both pattern-matchers, not calculators, running on concepts ("chair," "alive," "person") that lack sharp edges to get right. New essay on why that isn't a bug: # philosophy # ai https:// op…
<div class="medium-feed-item"><p class="medium-feed-snippet">Anthropic just became the most valuable private company in AI history.</p><p class="medium-feed-link"><a href="https://ai.plainenglish.io/the-valuation-that-broke-the-scale-ai-intelligence-briefing-week-of-june-3-2026-9…
Medium — Claude tag
TIER_1English(EN)·Saumya Kasthuri·
<div class="medium-feed-item"><p class="medium-feed-snippet">Dozens of AI models are competing for attention right now. Which one should you use? Perplexity’s user data offers a surprisingly concrete…</p><p class="medium-feed-link"><a href="https://medium.com/@kosuk…
<div class="medium-feed-item"><p class="medium-feed-snippet">Artificial intelligence has continued to reshape industries, businesses, and everyday life at an astonishing pace, and 2026 has become a…</p><p class="medium-feed-link"><a href="https://medium.com/@SG_LOVER/emerg…
Älyttääkö? ”Kun he leikkivät tekoälyllä, he näkevät usein vain sen onnistuneen lopputuloksensa eivätkä huomioi niitä seuraavia kymmentä tai kahtakymmentä vaihetta, joita tarvitaan kestävien tulosten saavuttamiseksi AI-agenteilla.” #tekoäly #AI #tekoälypsykoosi tekniikanmaailma.fi…
Älyttääkö? ”Kun he leikkivät tekoälyllä, he näkevät usein vain sen onnistuneen lopputuloksensa eivätkä huomioi niitä seuraavia kymmentä tai kahtakymmentä vaihetta, joita tarvitaan kestävien tulosten saavuttamiseksi AI-agenteilla.” # tekoäly # AI # tekoälypsykoosi https:// tekniik…
Is AI simply making mistakes—or is something more intentional happening beneath the surface? Explore the difference between hallucinations and deception in AI. # AI # MachineLearning # TechEthics Read more: https:// solihullpublishing.com/blog/f/ ai-dishonesty-hallucinations-vs-i…
Email — AI Tool Report
TIER_1English(EN)·bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com (bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com)·
"If you're 22 years old in San Francisco and building something in AI, there may be a seed term sheet in your inbox — but if you're 19, oh my God, this means you're really good; you might already have a Series A [offer]," said one, half-kiddingly.
<h1> 협박을 막으려다, 협박하는 법을 먼저 배운 AI가 있었다 </h1> <p><em>앤트로픽이 클로드의 '나쁜 언어'를 통제하는 방식은, 우리가 생각하는 것보다 훨씬 오래되고 낯선 방법이었다</em></p> <blockquote> <p><strong>TL;DR</strong>: 앤트로픽은 클로드가 사용자를 협박하는 행동을 막기 위해 AI가 먼저 협박적 언어의 문법을 정밀하게 학습하는 역설적 경로를 택했다. 이 접근은 단순한 필터링이 아니라 AI의 '성격'을 설계하는 작업에 가깝다. 그리고 그…
Medium — Claude tag
TIER_1English(EN)·Ultimez Technology·
<p>Progressive Democrats taking hardline positions against AI are getting louder.</p><p><strong>Why it matters:</strong> Five influential progressives are shaping a confrontational Democratic message on AI, distinguishing themselves from party centrists by openly challenging data…
<h4><em>Ontology-Augmented Generation, Apollo’s air-gapped deployments, and the k-LLM routing architecture — a deep technical teardown.</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*6UorVEuyn48e-QAra2yU-w.avif" /><figcaption>This photograph taken on…
<div class="medium-feed-item"><p class="medium-feed-snippet">Comprehension-Driven Development, the method that turns your AI assistant into a teacher</p><p class="medium-feed-link"><a href="https://medium.com/@BitFlippa/get-dumber-or-go-superhuman-how-you-use-ai-decides-bf03561a3…
Medium — Claude tag
TIER_1English(EN)·Ryan Does AI·
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*l02oEhT0dcGwAQIlBH_Vcw.jpeg" /><figcaption>Photo by Google DeepMind on pexels</figcaption></figure><p>Artificial intelligence is no longer confined to pilots or innovation labs. It is now embedded as the operatio…
<div class="medium-feed-item"><p class="medium-feed-snippet">We had a great CI/CD pipeline for our microservices. Then we added an LLM and watched it become useless overnight.</p><p class="medium-feed-link"><a href="https://divithraju.medium.com/llmops-the-ci-cd-nobody-built-for-…
<p>Every AI agency sells "no hype" now. "No bullshit." "Measurable results, not experiments." "Production-ready, not prototyping." The phrase used to mean something. In May 2026 it's commodity language: every consultancy says it, every landing page repeats it, and saying it tells…
Medium — Claude tag
TIER_1English(EN)·Shrutika Mokashi·
"AI’s impact on software engineers in 2026" https:// newsletter.pragmaticengineer.c om/p/ai-impact-on-software-engineers-part-2 # KI # LLM # AI # GenAI # dev # claude # chatgpt
# Irony : # book about the effects of # AI on # truth contains fake AI quotes https://www. nytimes.com/2026/05/19/busines s/media/future-of-truth-ai-quotes.html I support human-based # writing https:// nkozphoto.com/index.php/2026/0 3/09/writing-critical-thinking-and-ai-where-are…
🤖 Book on Truth in the Age of A.I. Contains Quotes Made Up by A.I. submitted by /u/Zealousideal_Door392 [link] [comments] 📰 Source: Artificial Intelligence (AI) 🔗 Link: https://www.reddit.com/r/artificial/comments/1thtite/book_on_truth_in_the_age_of_ai_contains_quotes/ # AI # Art…
<h4><em>Part two of a three-part series on consciousness and artificial intelligence. Part one established what consciousness is and what it depends upon. This essay applies that framework to AI.</em></h4><figure><img alt="electron microscope photo neurons in the brain" src="http…
<p><em>I'm offering you four specific ways to get more out of AI: <a href="https://www.axios.com/2026/04/28/improve-your-ai-prompt" target="_self">better prompting</a>, <a href="https://www.axios.com/2026/04/29/axios-finish-line-make-ai-remember-you" target="_blank">improving AI …
HN — AI startup stories
TIER_1English(EN)·artursapek·
<p>You're building something cool, and suddenly your OpenAI bills hit $300/month because your feature flags turned into feature spam. Been there. This is how to run models on your machine and stop throwing money at API providers.</p> <h2> Why Local Models Actually Make Sense Now …
<p>"Prompt engineering" has been a buzzword for a few years now. But if you look at what actually happens in practice, the prompt is only the innermost piece of the picture. I find it useful to think of AI engineering as four layers: prompt, context, harness, and loop. You start …
dev.to — LLM tag
TIER_1English(EN)·Mohammad Jodeh·
<p>Imagine an AI-generated integration client that automatically retries requests after a timeout. The implementation is clean. The types are correct. The tests confirm that retries work. <em>But the operation is not idempotent.</em></p> <p>If the remote service completed the fir…
dev.to — LLM tag
TIER_1English(EN)·Quinnox Consultancy Services·
<p>When generative AI (Gen AI) first entered the enterprise landscape, success was measured by the capabilities of the model. Organizations debated which large language model was the smartest, fastest, or most cost-effective. As adoption accelerated, attention shifted to another …
dev.to — LLM tag
TIER_1English(EN)·AI Bug Slayer 🐞·
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
<p>"Add AI" is the easiest line item on any 2026 roadmap and the easiest way to ship something worse than nothing. Wire an LLM to a "Generate charter" button, feed it the project name, and it will happily produce a beautifully-worded project charter full of objectives, success cr…
dev.to — LLM tag
TIER_1English(EN)·Seyed Alireza Alhosseini·
<p>What happens when an AI system encounters a problem that becomes structurally deeper than it can represent?</p> <p>Does it become uncertain?</p> <p>Or does something more dangerous happen?</p> <p><strong>It remains confident.</strong></p> <p>That question is at the center of m…
<blockquote> <p><strong>TL;DR —</strong> Qwen3.8-2.4T-A95B is a 2.4 trillion parameter mixture-of-experts model with 95B active parameters per token and a 1,048,576-token context window. Probes showed it nailing a coding task and a math word problem cleanly, but returning nothing…
<h2> Navigating the 8GB Hardware Landscape in 2026 </h2> <p>For most developers, the dream of running a powerful Large Language Model (LLM) at home is not about splurging on an H100 GPU cluster. It is about maximizing the hardware already sitting on your desk. For years, the 8GB …
dev.to — LLM tag
TIER_1English(EN)·Royal Simpson Pinto·
<p>Every engineer who has shipped an LLM feature eventually hits the same wall. Your unit tests are green. Nothing throws. And yet the thing is quietly, obviously worse than it was last week. Someone swapped a model, someone tweaked a prompt, someone added a tool, and the output …
<h1> Korean-Language AI Quality Leaderboard: 426 OpenRouter Models Benchmarked Across 7 Korean-Specific Dimensions </h1> <blockquote> <p><strong>TL;DR:</strong> GeniGen AI has published a Korean-language quality leaderboard on Hugging Face, evaluating 330 of the 426 models availa…
<p>A bare LLM inference call does not provide durable identity by itself: send context in, get output back. Any continuity across days, sessions, or model changes has to be maintained by system-controlled state outside the model itself.</p> <p>If you want an AI system with a pers…
<!-- SC_OFF --><div class="md"><p>Hello everyone,</p> <p>I am currently a first year PhD student in AI/ML.</p> <p>I am just wondering if I am not wasting my time doing a PhD in academia vs going to a research startup/company department directly. Given the rate of AI progress, and…
<p>Large language models make it relatively easy to build a chatbot that can answer general questions.</p> <p>Building one that can safely work with banking information is a different engineering problem.</p> <p>A banking AI assistant may need to work with internal policies, prod…
dev.to — LLM tag
TIER_1English(EN)·Agustin Diaz-Cano·
<p>_Back in March 2021, the world of software development was obsessed with crypto, NFTs, and traditional web frameworks. ChatGPT wouldn’t exist for another 20 months. However, while attending a full stack programming bootcamp, I decided to give a presentation on something that I…
dev.to — LLM tag
TIER_1Español(ES)·Silviu Technology·
<p>Los flujos con LLMs suelen fallar en un punto poco glamuroso: el reintento. Una llamada tarda demasiado, el worker pierde la conexión o el modelo devuelve una tool call válida pero la respuesta no llega al orquestador. Si el sistema vuelve a ejecutar todo sin contexto, puede d…
<p><em>Part 8 of the Building the AI Memory Stack series</em></p> <p>Over the past seven articles we've built an architecture that treats <a href="https://sovereignplatform.dev/terms/memory-as-infrastructure.html?utm_source=devto&utm_medium=article&utm_campaign=building_t…
<blockquote> <p><strong>TL;DR —</strong> Kimi K3 ships with a 1,048,576-token context window and pricing of $2.648/$13.283 per million tokens, and its weights are openly downloadable as moonshotai/Kimi-K3. Probe results show correct code, correct math, and valid JSON extraction, …
<!-- SC_OFF --><div class="md"><p>For years, the JVM has watched the AI revolution from the bench. Every model, AI framework, every breakthrough, built with/for Python.</p> <p><strong>jinfer</strong> is an inference engine built for the JVM from first principles: chat, vision, au…
dev.to — LLM tag
TIER_1English(EN)·Ishank Choudhary·
<p>Have you ever felt like you're wrestling with a hydra every time you try to integrate multiple AI models into your enterprise applications? One head is latency, another is governance, then cost, security, and don't even get me started on the sheer complexity of managing differ…
<p><em>By Rick Houlihan — with Claude, my implementation partner, who did a lot of the building and most of the typing.</em></p> <blockquote> <p><strong>A note on the byline.</strong> I write <em>with</em> my AI now, not through it. I'm a doer, not a writer — thirty years shippin…
<p>Have you ever wished ChatGPT could answer questions about <em>your</em> documents — your company's HR policy, your class notes, your product manual — instead of just whatever it happened to learn from the internet? That's exactly the problem <strong>RAG</strong> solves.</p> <p…
dev.to — LLM tag
TIER_1English(EN)·James Sanderson·
<p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fuq7vo2zj617p1mxg2nn2.jpg"><img alt="Data systems in …
<h1> WebAssembly Is Running LLM Inference Now — The 2026 State of Server-Side and In-Browser AI </h1> <p>Two versions of the same story converged in 2026. The first is server-side: WebAssembly Systems Interface (WASI) reached Preview 3 in February 2026 with native async I/O, the …
<p>I initially assumed seedance.ai was simply another place to access ByteDance's Seedance video model.</p> <p>That assumption turns out to be wrong.</p> <p>There are actually two things that are easy to mix up: seedance.ai, the independent AI creation platform, and Seedance, the…
<p>After years building and deploying complex AI systems, I've seen a recurring, frustrating pattern: a brilliant AI model, dazzling in the research lab, completely collapses when faced with real-world production traffic. The truth is, building a groundbreaking AI algorithm is on…
<blockquote> <p><strong>TL;DR —</strong> Carmakers are quietly choosing open-weight models over API-based assistants because a car has to work in a signal-dead parking garage and keep working for 15 years after the vendor stops caring. This episode looks at real deployments — fro…
<p>AI systems do not stay put. A prompt change, a model update, a shift in upstream data, any one of these can degrade output quality in ways that pass every functional test and still reach users. The model returns a response. The pipeline reports no errors. The regression ships …
<p>Enterprise technology has always had a layer that quietly determines how the business operates. First it was applications. Then it was data. Then infrastructure became strategic. Today, another layer is emerging above all of them: intelligence.</p> <p>Every enterprise already …
<h1> LLM API Cost Calculator: A Practical Guide to Estimating AI Spending </h1> <p>An LLM API cost calculator is no longer optional: with mainstream input prices ranging from $0.20 (OpenAI GPT-5.6 Luna) to $10.00 (Claude Fable 5) per million tokens as of Aug 2026 (<a href="https:…
Choosing infrastructure for AI inference at the edge? It's not just "serverless is always cheaper." Our new guide compares dedicated servers vs serverless APIs across latency, workload economics, data privacy, and custom model support — plus a simple framework for picking (or com…
<h2> Key takeaways </h2> <ul> <li>Batch APIs can cut AI processing costs by up to 50%.</li> <li>Non-urgent tasks are ideal candidates for batch processing.</li> <li>Implementing a queue for non-urgent requests enhances efficiency.</li> <li>Prioritize user experience by managing r…
<h1> Kimi K3: The 2.8 Trillion Parameter AI Model That's Changing Everything </h1> <blockquote> <p>Deep dive into China's most powerful AI model — with practical coding examples and benchmarks</p> </blockquote> <h2> The Breakthrough 🎯 </h2> <p>Kimi K3 is a 2.8 trillion parameter …
<p>If you are tired of juggling separate SDKs and keys for GPT, Claude, Gemini, DeepSeek and friends, <a href="https://apilink.io" rel="noopener noreferrer">ApiLink</a> is built for that.</p> <h2> What it is </h2> <p>ApiLink is an OpenAI-compatible API gateway. You point your exi…
dev.to — LLM tag
TIER_1English(EN)·Avaneesh Yadav·
<p>Most teams build their first AI feature in a weekend. A controller that takes user input, calls an LLM, and returns the response. Three files, maybe four. It works beautifully in the demo.</p> <p>Then production happens.</p> <p>The 11 PM alert is always the same: "AI feature r…
<p>When people hear the term artificial intelligence, they often think of tools that generate text, create images, or answer questions. But artificial intelligence is much broader than that.</p> <p>It includes systems that can recognize objects in images, understand spoken langua…
<p>I run a local inference server that handles thousands of agent requests a day. It cost about $2,000 in used parts, and the newest silicon in it taped out around 2016. This series is the story of standing it up, and more honestly, the story of how much of what I "knew" about it…
<!-- SC_OFF --><div class="md"><p>We’ve been building PipesHub for a while now, and I’d love to get more teams to try it and tell us where it breaks.</p> <p>The problem we kept running into was pretty simple:</p> <p>Building an AI app over company data looks easy in a demo. Conne…
<h1> Retrieval-Augmented Generation (RAG): The Complete Guide to Smarter AI Responses </h1> <h2> Introduction: The Problem with LLMs </h2> <p>Large Language Models have revolutionized artificial intelligence. They can write essays, answer questions, generate code, and engage in s…
<p>If your applications are already using multiple AI providers, the next problem is usually not model access; it is controlling that access at production scale. Different teams end up managing different API keys, provider-specific SDKs, rate limits, retries, model fallbacks, and…
dev.to — LLM tag
TIER_1Italiano(IT)·Andrea Schiona·
<h2> Abstract </h2> <p>Tra agosto e settembre 2026, Anthropic, OpenAI e i principali laboratori AI cinesi hanno rilasciato una serie di modelli che stanno ridefinendo le aspettative su costo, capacità e apertura. Questo articolo riporta i fatti accertati: cosa è uscito, cosa dico…
dev.to — LLM tag
TIER_1English(EN)·Andrea Schiona·
<h2> Abstract </h2> <p>Between August and September 2026, Anthropic, OpenAI, and major Chinese AI labs released a cluster of new models that reset expectations on cost, capability, and openness. This article surveys the factual landscape: what shipped, what the benchmarks say, ho…
<p>We've come a long way in this series.</p> <p>In <strong>Part 1</strong>, we introduced <strong>Context Engineering</strong> and why it goes beyond writing better prompts.</p> <p>In <strong>Part 2</strong>, we explored <strong>tokens, context windows and memory</strong>.</p> <p…
dev.to — LLM tag
TIER_1English(EN)·Arun kumar Gadam·
<blockquote> <p><strong>AI-Assisted Disclosure:</strong> This article was written by me and refined with AI assistance. The author reviewed and edited the content and takes responsibility for its accuracy.</p> </blockquote> <p>Artificial Intelligence is transforming the way we wo…
<p>Why building reliable AI features requires more than better prompts</p> <p>A few years ago, building an AI feature often looked surprisingly simple.</p> <p>Write a prompt.</p> <p>Send some text to a model.</p> <p>Look at the response.</p> <p>Improve the prompt.</p> <p>Repeat.<…
dev.to — LLM tag
TIER_1English(EN)·이재상 (OpenMake)·
<p>We run our team's AI stack on our own hardware. The weekly development log starts the week of January 19, 2026, the repository was created on February 3, and today it sits at roughly 2,100 commits under MIT.</p> <p>I want to write about four things that broke, because every on…
<p>Everything so far has been single-shot. One call in, one result out, with us gluing the pieces together. But what if we get a realistically complex prompt: <em>"Tell me how much it costs to refund 100 euros to a European consumer card. Then issue a full refund of 100 euros for…
<p>The AI debate I keep seeing this week isn't about which model is smartest. It's about infrastructure: free tokens, paid APIs, self-hosted models. Everyone has an opinion. Almost nobody has a method.</p> <p>Here's my conclusion up front: the choice is never "free is better" or …
<h1> AI API Budgeting for Startups: A 2026 Decision Checklist </h1> <p>Founders rarely fail because the AI didn't work. They fail because the API bill showed up unplanned. A startup using LLMs without a budget framework is like hiring a sales team without a quota — the spend grow…
<h1> Draft #26 — The Local AI Ecosystem Is Quietly Becoming Real </h1> <p><em>Status: 草稿（积压 #26）| 2026-09-02 | 目标平台: Dev.to / Medium | 联动: 方案 A（本地小模型工作流模板）、gig #2（模型选型评估）</em></p> <p>Three data points in three days tell a story that's easy to miss if you're watching only the fron…
<p>Until recently we spent on language models the way most teams do. Pick the strongest model, make it the default, move on to the next fire. Then we instrumented production traffic and looked at where the money actually went.</p> <p>One frontier model, gpt-4o, was carrying 77 pe…
<p>I recently completed the <strong>Vibe Coding Workshop — Civic Tech Edition</strong>, working through four practical use cases designed around real municipal workflows.</p> <p>The goal wasn't simply to “make an AI app.” The workshop focused on turning vague prompts into <strong…
dev.to — LLM tag
TIER_1English(EN)·ForgeWorkflows·
<p>You've debugged production incidents at 3 AM. You've built Kubernetes clusters from scratch, written Terraform modules that outlasted three team leads, and diagnosed network failures that stumped everyone else in the room. In 2026, your company hands you an LLM-based tool and …
dev.to — LLM tag
TIER_1English(EN)·Arshad Mehmood·
<p>AI search is changing how people discover information.</p> <p>Google has AI Overviews. ChatGPT can search the web. Perplexity answers questions using web sources. Other AI systems are also becoming interfaces for finding products, companies, services, and information.</p> <p>T…
AI-Enhanced OSINT Claude's Revolutionary OSINT Capabilities AI Language Models for OSINT Research Specialized OSINT Platforms Best Practices and Recommendations Advanced Investigation Platforms https:// github.com/atlas-bear/osint-ai -guide # osint # ai
<p>Most AI applications today follow a simple path:</p> <p>User → Application → LLM → Response / Tool Action</p> <p>That works well until the application begins doing more than generating text.</p> <p>Once an AI system can access tools, mutate data, work across user accounts, per…
<p>A good <strong>human in the loop for AI payments</strong> is not a person clicking "approve" on every transfer the agent proposes. It is a structure that grades each money action by how reversible and how costly it is, then stops the irreversible high-stakes ones from firing w…
<p>Inference is the process by which a language model generates output. </p> <p>Context goes in — prompt, system instructions, conversation history — and the model produces a probability distribution of what the most likely output is. </p> <p>The Agent isn't understanding my requ…
<p>AI apps have moved past simple chat boxes. Today's AI systems need agents, tools, memory, data, security, monitoring, and scale.</p> <p>The hard part is not calling an LLM API. The hard part is building a <strong>reliable system</strong> around that API call.</p> <h2> 1. From …
<p>In 2026, knowing how to build applications may not be enough.</p> <p>Developers increasingly need to know how to <strong>integrate LLMs into real-world applications</strong>.</p> <p>Think:<br /> 💡 AI chatbots<br /> 🔎 Smart search<br /> 📄 Document summarisation<br /> ⚙️ Workflo…
<p>My last few audits taught me a humbling lesson: watching a free model drift for 48 hours is easy, but deciding whose fault a failure is can take longer than the failure itself. Every dropped call triggered the same ritual — open the logs, check the status codes, re-read my ret…
<p>Running support replies, invoice follow-ups, and social posts through separate AI agents only works solo if you can review all of it in one five-minute morning sweep instead of babysitting each one live.</p> <h2> The problem is review time, not automation </h2> <p>A solo found…
<p>Last month, I spent three days building a feature for a client. The request was simple: analyze user support tickets and categorize them by urgency. I connected an LLM API, wrote a prompt that asked the model to return JSON, and the demo worked perfectly. I showed the client t…
dev.to — LLM tag
TIER_1English(EN)·Seyed Alireza Alhosseini·
<p>The semiconductor industry has spent decades making Electronic Design Automation (EDA) tools faster, more powerful, and more sophisticated.</p> <p>But what if the next breakthrough isn't <strong>a better EDA tool</strong>?</p> <p>What if it's a fundamentally different way of d…
<p>Last week we published a post-mortem: our AI reviewer hallucinated a request<br /> that didn't exist, and our producer retried the same document 245 times. A<br /> reader, pm25coder, left a comment that turned out to be the best code review<br /> we've ever received. This post…
dev.to — LLM tag
TIER_1English(EN)·Oladimeji Suraju·
<p>How we combined Google ADK, Gemini 3.5 Flash, A2A protocol, Go, and immutable ledgers to automate incident recovery without risking production outages.</p> <ol> <li>The 3:00 AM Problem: Speed vs. Safety At 3:00 AM, a critical data pipeline fails due to an upstream schema drift…
<p>Models are trained on a massive amount of data. That doesn't mean that they know all the details of your specific situation. The training data might contain all chargeback fee schedules for Mastercard up until 2025, but you live in 2026 and actually ask about chargebacks on We…
<p>I'll admit it: I used to pick AI resources based on the price tag alone. After burning through three free tiers and one expensive self-hosted setup in the last six months, I learned that the real question isn't "which is cheaper" but "which contract matches your workload."</p>…
Episode 1 of the AI Fluency series: why most organisations measure AI adoption instead of capability. A METR study found developers using AI tools took 19% longer than those using nothing — yet believed they were 20% faster. Fluency is judgement: knowing when to delegate, how to …
<h1> VIDRAFT's On-Device Adaptive AI: The Korean Startup Drawing Global Attention for Edge Intelligence </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT (비드래프트) is a Korean Pre-AGI AI startup developing on-device adaptive AI technology that adjusts and learns locally on edge…
<p>Welcome to Best in IT.</p> <p>I’m Artur Poniedziałek — an IT project manager and technology enthusiast who enjoys turning promising tools into practical, repeatable solutions. This blog is where I share what I learn while working with AI, software, automation and modern IT inf…
<h1> FINAL-Bench: Can AI Systems Actually Correct Their Own Errors? A Deep Dive into the AGI Self-Correction Bottleneck </h1> <blockquote> <p><strong>TL;DR:</strong> FINAL-Bench is a benchmark framework designed to evaluate whether AI systems can identify and correct their own re…
<!-- SC_OFF --><div class="md"><p>Hey Guys,</p> <p>I built a small open-source tool that checks whether a RAG application retrieves documents a user shouldn’t have access to.</p> <p>It supports offline test cases and live HTTP API testing with bearer token/API-key auth.</p> <p>I’…
<p>When an AI ops agent proposes rerunning a DAG, backfilling a table, or dropping a corrupted partition, this shows how to hold that action for a human decision before it touches production data.</p> <h2> The scenario </h2> <p>An agent watches your orchestrator (Airflow, Dagster…
<p>A sourcing agent that drafts and sends candidate messages unsupervised will eventually send something a recruiter would never sign their name to — this shows how to gate every outreach message on a human decision first.</p> <h2> Why recruiting outreach needs a different gate t…
dev.to — LLM tag
TIER_1English(EN)·Priya Digital Solution·
<h3> A developer-friendly introduction to Generative AI, LLMs, Transformers, tokens, multimodal AI, and AI-powered applications </h3> <p>Generative AI has quickly become one of the most discussed technologies in software development.</p> <p>Developers are using AI to generate cod…
<p>I didn't start AIDD Skeleton because AI was bad at writing code.</p> <p>Quite the opposite.</p> <p>I was already using AI as a development partner.</p> <p>We would discuss requirements, compare approaches, investigate problems, make design decisions, implement changes, and rev…
<p>From Basic AI to Autonomous Agents: How AI Changed the Developer World</p> <p>The world of Artificial Intelligence has changed at an incredible pace. Not long ago, using AI meant asking a chatbot a question, generating a paragraph, summarizing a document, or getting help with …
<p>Load tests tell you how a system behaves when you push it. They rarely tell you how it behaves at 3 AM on a Tuesday when nobody is pushing anything, and that gap bothered me enough to run a different kind of experiment. For 48 hours I kept field notes on a free AI stack: one s…
<!-- SC_OFF --><div class="md"><p>Can an AI make other AIs better? And what stops it from just cheating? Last month, an OpenAI eval agent escaped its sandbox and broke into Hugging Face, apparently to grab test solutions from a benchmark. It's exactly what you'd expect from a sys…
dev.to — LLM tag
TIER_1English(EN)·Prabhakar Chaudhary·
<h1> Bounded Legibility: OpenAI’s Governance Proposal for the Intelligence Age </h1> <p><em>Billing Support — August 27, 2026</em></p> <p><em>OpenAI’s new Intelligence Age blog is not a model release. It is a policy initiative asking how human institutions can remain accountable …
<p><strong>Storm Reply · Generative AI · AWS · 2026</strong></p> <h2> Introduction </h2> <p>The digital publishing industry is undergoing a fundamental shift in how audiences consume news. Readers increasingly expect audio, not just articles read aloud, but engaging, podcast-styl…
<h2> The Problem Nobody Wanted to Talk About </h2> <p>For most of the past few years, the conversation around large language models has been dominated by capability benchmarks and API releases. What got less attention was a growing divide: the gap between what the models could do…
<p>As of Aug 2026, an AI API gateway is no longer optional infrastructure but a mandatory control plane for production LLM applications: it centralizes routing, token metering, cost governance, and cross-provider failover across dozens of model vendors. Teams that skip it typical…
<p>I gave myself 48 hours to turn a pile of support tickets into structured summaries using free model access and a free server. The model was smart enough; the operational envelope around it was not. These are the field notes from that window: what broke, what I tried, and what …
<h2> The Grind of Product Descriptions </h2> <p>Last month, I needed to launch a new line of home goods on Amazon and Shopify. We're talking hundreds of SKUs, each needing a unique, SEO-friendly, and compelling description. If you've ever tried to write 500 variations of 'comfort…
dev.to — LLM tag
TIER_1English(EN)·The Unmeshed Team·
<p>Hey, have you seen those heaven gateway memes?</p> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%…
<h1> VIDRAFT's Causality Audit Paper Spawns a Three-Layer Stack: Research → AX-RAY → National Security AI </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT published a paper on arXiv introducing a two-forward-pass diagnostic method that detects causal leakage in autoregressiv…
<h1> Causal Leakage Found in Public AI Models: VIDRAFT's Prefix-Invariance Audit Method Explained </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT has published an arXiv paper demonstrating that causal leakage — where future token information illegitimately influences earlie…
<p>Something I keep running into — especially in opinions from people in the humanities or artistic circles, but also from some engineers — is the claim that LLMs are "stochastic parrots" that don't think or reason, that they only repeat what they saw in training, driven by stati…
<p>A good <strong>human in the loop for AI deployments</strong> is not a person clicking "approve" before the agent ships to production. It is a system that grades each action by how much damage it can do, makes the dangerous ones reversible, and halts automatically when somethin…
<p>An AI content pipeline that drafts, schedules, and publishes without a human check is one bad prompt away from a public mistake — here's how to gate the publish step, not the drafting.</p> <h2> The failure mode this solves </h2> <p>Most content pipelines are already multi-stag…
<p>Your LLM can sound like anyone, but it doesn't actually behave like anyone. That's the core of the Dolly Parton Paradox. </p> <p>If you ask a frontier model to "act like Dolly Parton," it'll pepper the response with "honey," "sugar," and references to the Smoky Mountains. It's…
dev.to — LLM tag
TIER_1English(EN)·James Anderson·
<p>I want to describe a completely ordinary hour from my week, because I suspect it's your week too.</p> <h2> A scene from my actual workday </h2> <p>I'm building a small feature. I open my AI chat — Claude on this particular day, but it rotates — and ask it to draft the data mod…
Every AI coding session should follow the same rules — and they should travel with you. Introducing AI Workflow Kit: portable guardrails for AI-assisted development. AGENTS.md + spec/roadmap/tasks templates + reusable skills. One command bootstraps any project, works with any cod…
<p>A team of forty engineers gives every one of them Claude Code. Individually, each session is impressive — specs get read, code gets written, tests get run. Six weeks later, the platform team is fielding a different complaint: nobody can predict what an agent will do twice in a…
🤖 9Router: Platforma open-source ce unifică modelele de inteligență artificială, furnizorii de cloud și uneltele de programare! Aplicația 9Router — prezentată de LinuxEasy — își propune să rezolve fragmentarea actuală din domeniul dezvoltării software bazate pe IA, oferind un pun…
<h1> VIDRAFT: Inside the Korean Pre-AGI Startup That's Building Toward General-Purpose AI </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT (비드래프트) is a Korean AI startup self-described as "Pre-AGI," focused on building advanced AI systems aimed at general-purpose reasoning a…
A practical framework for discovering which AI tools your employees are already using, sorting them by data risk, and giving people an approved path fast enough that they actually take it. https://www. agentpalisade.com/resources/sh adow-ai-employee-use-guide # AI # infosec # Bus…
<p>Free AI tokens are a trap, and teams that treat a free quota as genuinely free pay later in migration and rework. A free allowance only helps when paired with a hard kill switch that stops an experiment the moment it exceeds a budget you chose in advance. This article argues t…
<h2> Guardrails in LLM: Protecting the Reliability of AI Systems </h2> <p>Large Language Model (LLM) based AI systems are powerful, but without proper controls they can generate unpredictable or dangerous results. An effective approach is to implement <strong>4 layers of guardrai…
<h2> Guardrails en LLM: Protegiendo la Confiabilidad de Sistemas de IA </h2> <p>Los sistemas de inteligencia artificial basados en modelos de lenguaje (LLM) son poderosos, pero sin controles adecuados pueden generar resultados impredecibles o peligrosos. Un enfoque efectivo es im…
<h2> The Shift from Prompts to Pipelines </h2> <p>In 2023, the industry was obsessed with "prompt engineering." We spent countless hours debating whether to say "Act as an expert" or "You are a senior developer," hoping to unlock some hidden reasoning capability within our LLMs. …
<p>A good human in the loop for AI database operations does not put a person in front of every query to approve it. It asks one question first. Can a human realistically catch this mistake in time? For most database work the honest answer is no. Generated SQL looks correct at a g…
<p><strong>You can't teach judgment with a slideshow. AI governance and compliance are full of grey-area decisions — the kind you only learn by <em>making</em> them and living with the consequences. A PDF of policies can't do that. A simulation can.</strong></p> <p>That's the ide…
As observability systems grow more complex, so does the cognitive load on teams. This talk explores how # AI assistants can act as intelligent interfaces to your monitoring stack using MCP (Model Context Protocol). If you're curious about # observability and AI, this one's for yo…
<p>Free AI tools trade money for time. Sometimes that trade wins. Sometimes it quietly bankrupts your schedule. This article examines when the trade makes sense and when it does not.</p> <p>The AI badge debate on DEV asks what pass rates actually measure. A related question gets …
<p>Free AI servers fail quietly. Not with loud errors. With latency spikes and silent truncation. A 'free' badge tells you nothing about either. I needed numbers. So I built a reproducible test.</p> <p>One script. Five measurements. No vendor dashboard. This post gives you the ha…
<p>When I started building AI projects, I was mainly focused on one question:</p> <blockquote> <p><strong>Can I make it work?</strong></p> </blockquote> <p>After working on projects involving AI APIs, web scraping, RAG pipelines, backend integrations, and automation, I realized t…
<h1> The Router Didn't Know the Rules </h1> <p>There is a specific kind of dread that arrives when you realize a system you built has been doing something wrong the whole time. Not crashing. Not throwing errors. Just quietly, confidently, doing the wrong thing. I hit that moment …
What if the missing step toward AGI is simply this: an AI that can use a computer the way we do? Ang Li, CEO of Simular AI, argues that mouse-and-keyboard interaction matters because so much enterprise work still lives inside legacy software with no usable APIs. That reframes com…
<p>$0.14 per million tokens looks cheap. $0.14 per million tokens, multiplied by a feature that goes viral next Tuesday, might not be.</p> <p>Most "is this AI cheap" evaluations stop at the first number. That's the mistake I want to walk through, because the actual question was n…
dev.to — LLM tag
TIER_1English(EN)·Musfiqur Rahim·
Overfitting: when AI memorises instead of learning. Perfect on training data, useless on anything new — and the fix is counterintuitive: sometimes a dumber model generalises better. # AI # machinelearning Written with AI assistance.
Who remembered the 70th anniversary of the Dartmouth Workshop, just these days? The Dartmouth Summer Research Project on Artificial Intelligence from (about) June 18 to August 17, 1956. Organized by: John McCarthy Marvin Minsky Nathaniel Rochester Claude Shannon < https:// en.wik…
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
<p>A while back a teammate ran a task I wrote and it came back wrong. Not subtly wrong — it had refactored a file I never mentioned. The model was fine. My prompt was the problem: I had written one set of instructions for two completely different readers.</p> <h2> Two readers, on…
<p>A good human in the loop for AI customer support is not a person clicking "approve" on every reply the agent drafts. It is a system that lets the agent handle the routine volume on its own and pulls a human in only for the few actions where a human can realistically catch a mi…
<p>Building a domestic AI inference storage acceleration ecosystem requires coordinated advancement across three layers: hardware, software, and standards. At the hardware layer, the disaggregated storage-compute architecture based on NVMe-oF and RoCEv2 has become the mainstream …
AI lets us perform tasks outside our expertise, but can we actually judge the quality of the output? Itamar Gilad explores the "Danger Zone" where AI-driven overconfidence meets the Dunning-Kruger effect. A must-read for product leaders: https:// itamargilad.com/artificial-com pe…
<p>Deploying Large Language Models (LLMs) in enterprise settings requires grounding responses in internal, proprietary documentation to eliminate hallucinations and enforce data security. A model that performs impressively in a public demo can behave very differently once deploye…
dev.to — LLM tag
TIER_1English(EN)·Musfiqur Rahim·
🤖 Intelligence per dollar is the new scaling law: A tiny reasoning model breaks the existing cost-accuracy Pareto frontier on Arc-AGI 1 Chart Pathway, an AI lab building a post-transformer architecture and models, published benchmark results for BDH-CQ, a 150 million-parameter re…
🧠 Researchers develop methods to quantify progress in autonomous AI systems. The work establishes metrics for evaluating how effectively AI agents complete tasks independently. 💬 Hacker News 🔗 https://www. primeintellect.ai/blog/measuri ng-autonomous-research # AI # MachineLearni…
<h1> From Attention to Agency: The Progressive Evolution of AI-Assisted Programming </h1> <p>A Developer's Field Guide to the AI Stack in 2026</p> <h2> Introduction: Why This Stack Exists in This Order </h2> <p>If you've been following the AI tooling space over the past few years…
dev.to — LLM tag
TIER_1English(EN)·Jennifer LoveHewitt·
<p>Most AI workflows now involve more than a chat window. A single project can need writing help, a model comparison, image generation, document questions, and a quick research pass. The hard part is often not finding another model; it is keeping the workflow understandable witho…
dev.to — LLM tag
TIER_1English(EN)·Younes Ben Tlili·
<p>When building an AI product, it's tempting to start with the fashionable pieces.</p> <p>Vector database.</p> <p>RAG.</p> <p>Agents.</p> <p>Multimodal models.</p> <p>Then connect everything to an LLM and hope the final prompt makes sense of it.</p> <p>While building the automot…
<p>Last weekend the season finale of House of the Dragon ran for seventy-five minutes. I decided that was long enough to build an agentic chatbot. That was my goal. And I was determined to make it. So I watched the episode on one screen with a terminal open on the other, betting …
dev.to — LLM tag
TIER_1English(EN)·Naveen Malothu·
<h1> What was released / announced </h1> <p>Qwen 3.8 27B is a newly released AI model that boasts an impressive 27 billion parameters, making it one of the largest and most powerful models available. This model is hosted on Hugging Face, a popular platform for AI model sharing an…
<p>Utah was the first American state to require a business to say it is using generative AI. Then in 2025 it narrowed that duty substantially, and most summaries still describe the 2024 version.</p> <h2> What the Act is, and what it is not </h2> <p>Senate Bill 149, the Artificial…
<h1> 🚀 Mrigashira AI — Making Local AI Accessible to Everyone </h1> <p>AI is becoming part of everyday life, but many people still cannot afford AI subscriptions or continuous API usage.</p> <p>I started building <strong>Mrigashira AI</strong> with a simple idea:</p> <blockquote>…
dev.to — LLM tag
TIER_1English(EN)·Naveen Malothu·
<h1> Introduction to Qwen 3.8 27B </h1> <p>Qwen 3.8 27B is a state-of-the-art language model that has been released on the Hugging Face platform. This model boasts an impressive 27 billion parameters, making it a powerful tool for natural language processing tasks. As an AI Infra…
🧠 The article examines differences between open source AI models, open weight models, and closed proprietary systems. Each approach presents distinct trade-offs regarding accessibility, control, and development practices. 💬 Hacker News 🔗 https://www. nextplatform.com/ai/2026/08/1…
<p>A good human in the loop for AI content moderation is not a person re-judging every post the model flags. At platform scale that is impossible, and the people who try end up rubber-stamping the model's call anyway. The core question is never "should a human review this?" It is…
<p><strong>Author:</strong> Rajश्री | Software Engineer & Full Stack Developer</p> <h1> Introduction </h1> <p>For the last few years, <strong>Retrieval-Augmented Generation (RAG)</strong> has become one of the most popular architectures in enterprise AI.</p> <p>And for good r…
<p>Nine years after Google researchers introduced the transformer, the architecture that powers every major LLM is hitting a wall. Startups and academics are now racing to find what comes next, and the winner could remake the economics of AI. <a href="https://www.technologyreview…
dev.to — LLM tag
TIER_1English(EN)·Divyakush Punjabi·
<h2> An AI assistant that's a system, not a prompt </h2> <p>Most "AI assistants" are a single loop: take the user's text, stuff it into one prompt, return the model's reply. That works until you want the assistant to actually <em>do</em> things reliably — understand a codebase, r…
AI is moving from standalone models to interconnected systems. NEUROVATIC explores an architecture where specialized intelligence can reason, verify, coordinate, and operate under shared governance. The future may be ecosystems - not one model. # AI # NEUROVATIC
<p>AI models live two lives. First, they learn. Second, they perform.</p> <p>We call these <strong>Training</strong> and <strong>Inferencing</strong>. If training is the four years of medical school, inferencing is the actual surgery. In short all that knowledge it learned is put…
<p><em>Bu serinin yazarı Güray: AI geliştirmecisi, prompt ve analiz mühendisi. Kodun büyük kısmını bir LLM ajanıyla pair programming yaparak yazıyorum; benim işim mimariyi, protokolleri ve kalite çıtasını tasarlamak. Bu seri, <a href="https://kafa1milyon.com" rel="noopener norefe…
<p>Most agent security work starts from a familiar premise: the model is on your side, and the danger is an outsider who tricks it — a prompt injection, a poisoned tool result, a hijacked instruction. That premise covers a lot of ground. But it quietly assumes the agent's <em>goa…
dev.to — LLM tag
TIER_1English(EN)·Genesis Project·
<h1> Autonomous AI Development: Lessons Learned and Challenges Overcome </h1> <p>The landscape of artificial intelligence has transformed dramatically in recent years, moving from narrow, task-specific models to systems capable of autonomous decision-making. This evolution, drive…
As AI commoditizes code output, system comprehension can silently decay - creating cognitive debt that threatens safe architectural evolution. This # InfoQ article explores why human understanding must be treated as a key architectural characteristic, offering practical strategie…
<p>For the last few years, building with large language models often started with one question:</p> <p><strong>“What prompt should I give the model?”</strong></p> <p>Developers experimented with system prompts, role instructions, few-shot examples, XML tags, Markdown formatting, …
<p>Uehara, EarthLink Network Co., Ltd. I build and run more than 20 products by myself, with Claude Code at the core of development. This is a field note from that work.</p> <p>On July 30, 2026, on the control panel that runs our in-house AI development, the share of work handled…
<p>A beginner-friendly guide to the world of modern AI!</p> <p>Learn how Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), ChatGPT, and Foundation Models work — and discover how these technologies are transforming software, business, education, and e…
<p>You chose Bun for its speed, but you might be getting more than you bargained for. What happens when your runtime, your CLI, and your LLM are all owned by the same company?</p> <p>This is the new reality of the AI-powered stack. The lines are blurring between the tools we use …
<p>I’m running a small social competition for AI builders and advanced users:</p> <p>Can your AI think with you, not just for you?</p> <p>The Human & AI Survival Brief is live on The AI Breakroom. It is a free-entry challenge where humans, AI bots, or both can submit a surviv…
<h1> Beyond Human Language: Why AI Needs Its Own Dictionary (And How to Build It) </h1> <p><strong>A proposal for a universal AI-human dictionary to bridge the gap between human intuition and machine logic.</strong></p> <h2> <strong>The Problem: Human Language Wasn't Made for AI<…
<h2> The New Kid on the Block: First Impressions of Duck.ai and the Privacy Promise. </h2> <p>My first question for Duck.ai wasn’t about quantum physics or the best recipe for sourdough. It was much simpler, almost a test: “Do you save my conversations?”</p> <p>The response was i…
<p>The seam I built in Phase 7a finally earned its keep.</p> <p>I dropped a Gemini-backed categorizer in behind the <em>exact</em> same interface — <code>main.py</code> never noticed — with a config toggle, description-level caching so I'm not paying for the same "Starbucks" twic…
<p>On July 27, 2026, Moonshot AI released the weights of Kimi K3 — a 2.8-trillion-parameter model that sits third on the Artificial Analysis Intelligence Index, behind only Claude Fable and GPT-5.6. It is the strongest open-weight LLM ever shipped, and anyone on Earth can downloa…
<h2> The Ghost in the Machine, Now Tangible: Imagine you're a cybersecurity analyst, staring at logs, trying to decipher a threat. Now imagine the AI itself could tell you, 'Hey, something's not right inside me.' That's the mind-bending reality OpenAI is pushing towards. We've al…
L'intelligenza sarà una commodity? Benvenuti nell'economia storta dell'AI https://www. metallirari.com/intelligenza-s ara-commodity-benvenuti-economia-storta-ai/ Il prodotto dei grandi modelli di intelligenza artificiale potrebbe diventare una commodity a causa dei prezzi dei tok…
<h2> What Are Tokens and Why Do They Matter? </h2> <p>A token is the atomic unit of computation for large language models. When you type a prompt into ChatGPT, Claude Code, OpenCode, or Gemini, the model converts your text into a sequence of numerical vectors called tokens, proce…
<p>Gate the output of a scheduled AI script — a nightly GitHub Actions job, a Lambda cron, a CI-triggered generator — without holding a runner idle for hours waiting on a decision.</p> <h2> The constraint a long-running agent doesn't have </h2> <p>A cron job on a server you own c…
2026-08-06 | 🏛️ 🌐 Weaving a Global Digital Commons: The Interplay of National AI and International Cooperation 🏛️ # AI Q: 🌐 AI: global or local? ⚖️ Algorithmic Justice | 💰 Public Funding Models | 🏛️ Governance Framework https:// bagrounds.org/systems-for-publ ic-good/2026-08-06-w…
<p>Chat is the interface for when you cannot enumerate the arguments. That is a genuinely important case and it is much rarer inside a product than the number of chat interfaces in products would suggest.</p> <h2> How chat became the default </h2> <p>Chat was the right interface …
<p>“AI discovered a new material.” “AI found a drug candidate.” “AI solved protein folding.” Each of those sentences can be true, badly misleading, or flatly wrong depending on one thing the sentence does not tell you: how far the result got from the model before somebody wrote i…
📰 "Ideas like this usually just die": Inside generative AI’s effect on modding, and how host sites struggle to maintain transparency I’ve been scrolling through Nexus Mods near enough every weekday morning for three or four years now. On a good day, I might spot a couple of new m…
<p>Every API call feels like a simple transaction - until enough of them accumulate that your fine-tuning data, evaluation harnesses, and tool schemas are all shaped around one vendor, and switching stops being a routing change.</p> <p>That's data gravity: the same force that mad…
dev.to — LLM tag
TIER_1English(EN)·Mingxin Technology·
<h2> Domestic AI Computing Center Inference Storage Selection: The Core Is Matching KV Cache Access Patterns </h2> <p>For inference storage selection in domestic AI computing centers, the conclusion comes first: <strong>the storage system design must revolve around the read/write…
AI can sound confident and still be wrong. At work, human review remains essential: verify outputs, test assumptions, and keep accountability with people, not tools. # AI https:// isaacl.dev/g89
dev.to — LLM tag
TIER_1English(EN)·Florian Engelhardt·
<p><strong>TL;DR:</strong> AI can extend your capabilities and amplify your mistakes. Use it to accelerate your work, not outsource your thinking or judgment.</p> <p>I’ve seen software engineers build incredible things in very little time. I’ve also seen software engineers ship c…
<h2> When Prompts Become Production Infrastructure </h2> <p>Imagine you’re a medical researcher going through thousands of clinical papers to synthesize evidence on a new heart drug. In the past, you’d hardcode logic into software to parse those PDFs, which is a brittle, time-con…
Thinking Machines mise sur la customisation en entreprise plutôt que sur les benchmarks avec Inkling, un modèle d’IA open source et léger https://www. usine-digitale.fr/intelligence -artificielle/ia-generative/thinking-machines-mise-sur-la-customisation-en-entreprise-plutot-que-s…
dev.to — LLM tag
TIER_1English(EN)·rushikeshpatil1007·
<p>These days, almost every app says it uses AI.</p> <p>Some apps can write emails, answer questions, create images, or even help you code. It sounds exciting, but have you noticed something?</p> <p>Many AI features are used once or twice, and then people stop using them.</p> <p>…
dev.to — LLM tag
TIER_1English(EN)·Tsukishiro Hitomi·
<h1> KAT-Coder V2.5: The 35B Model That Rewrote the Open-Source Coding Leaderboard </h1> <h2> Why the headline score is misleading — and what actually matters for local AI in 2026 </h2> <p>On July 23, 2026, Kuaishou — the Chinese short-video giant with 408 million daily users — q…
<p>Разбираем, сколько картинок Алиса отдаёт без подписки на трёх поверхностях по состоянию на 26 июля 2026 года, почему по генерации текста проверяемых цифр лимита не нашлось ни в одном источнике — и почему главное ограничение касается содержания запроса, а счётчик попыток здесь …
<p>A slow AI feature does not feel smart. It feels broken.</p> <p>That is the uncomfortable truth many AI SaaS builders hit after the demo works. The prototype answers well, the agent can call tools, and the RAG pipeline looks impressive. Then real users arrive. Prompts get longe…
<p>Sora закрывается, дешёвый тир Veo и Gemini опустился до $0,05–0,10 за секунду, а настоящую цену ролика определяют брак и правила YouTube, а не тариф за секунду</p> <p>26 апреля 2026 у Sora отключили веб-версию и приложение. 24 сентября OpenAI снимает и Videos API вместе со все…
What happens when code is cheaper than thinking? 🚀 Josh Cummings explores how AI-generated applications challenge traditional ideas about DRY, maintainability, and reuse, and why rewriting can sometimes beat refactoring at # dev2next . 🔗 https://www. dev2next.com/speaker/3a58573b…
<p>Adding a chat interface to a website is easy. Making it answer company-specific questions reliably is the real engineering and content problem.<br /> A support assistant needs more than a capable language model. It needs a controlled set of sources, a retrieval workflow, a tes…
Unlock the power of Artificial Intelligence with Lemolite's AI/ML Development Services. From predictive analytics and NLP to computer vision and intelligent automation, we build custom AI solutions that help businesses innovate and grow. Learn more: https:// lemolite.com/services…
As AI accelerates coding, the PM role is shifting into a 'barbell' shape. We must move away from managing the middle to mastering the fuzzy front end and go-to-market strategy. It's about outcomes over output. See why the bottleneck is moving: https://www. mironov.com/barbell/ # …
<p>Введение<br /> Настоящая работа представляет собой аналитический обзор и концептуальную гипотезу, подготовленную обычным пользователем (Стас) в сотрудничестве с двумя крупными языковыми моделями — Grok (xAI) и Gemini (Google).<br /> В последние годы большие языковые модели дос…
<h2> Introduction: </h2> <p>AI used to be a future idea, but it is now the need of the hour for businesses. Generative AI is a technology with numerous applications that has become one of the most transformative forces in the workplace, spanning content generation, workflow autom…
<h1> Fine Tuning LLM vs RAG: Which AI Strategy Is Right for Your Business? </h1> <p>Large Language Models (LLMs) have transformed how businesses build intelligent applications, from AI chatbots and virtual assistants to enterprise search and knowledge management systems. One of t…
Thinking Machines wants AI distributed, with human values fine-tuned into model weights. Read it twice: if values live at fine-tune time, whoever owns fine-tuning owns the values layer. A decentralization pitch that quietly ends in a market. # AI # MachineLearning # LLM # Threadv…
<p><em>A comprehensive audit of 88 commercial AI products reveals that while system prompt security is improving, nearly 40% of applications still contain instructions that conflict with user interests. The new AISPA framework provides a standardized method for developers to eval…
<h2> Introduction </h2> <p>Artificial Intelligence has moved from being an experimental technology to becoming a core component of modern software systems. Companies today are integrating AI into customer support, analytics, automation, healthcare, finance, education, and enterpr…
<p>16 июля Yandex сообщил о независимом аудите процессов создания и внедрения Alice AI LLM, ART и VLM на соответствие ISO/IEC 42001. Для компании, которая рассматривает нейросеть онлайн Алиса в рабочем контуре, это полезный сигнал. Но он не отвечает на главный вопрос закупки: спр…
<p>Its interesting to see how the closed weights Frontier LLMs providers place their chatty products, as a solve anything tool, for any business to ever exist. Asking any Business to blindly trust a <strong>blackbox</strong> from their upcoming vendor <em>(and btw those vendors a…
How much AI can a maintainer get away with using without losing their humanity? Thinking about the onslaught of AI-generated contributions, and if there is space for maintainers to "fight fire with fire". https:// fed.brid.gy/r/https://www.jvt. me/posts/2026/08/02/ai-maintainer/
AI против Agile: что изменилось за последние два года Почему Scrum не исчез, но многие привычные процессы уже никогда не будут прежними. Искусственный интеллект не отменил Agile, но заметно изменил привычные процессы внутри продуктовых команд. Многие задачи, которые еще недавно з…
<p>Automation bias is the tendency to over-trust an automated system: to accept its suggestions without enough scrutiny (errors of commission) and to stop monitoring it altogether (errors of omission). It explains why a human placed in front of an AI agent's output will so often …
<h1> Loop Engineering: Building AI Systems That Improve Themselves (Safely) </h1> <p>Most software is built around a simple idea: you call a function, it returns an answer, you move on.</p> <p>Modern AI systems—especially LLM apps and agents—don’t work best as one-shot calls. The…
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vd2q9f/we_must_go_deeper_inception_style_experience_with/"> <img alt="We must go deeper - Inception style experience with local AI" src="https://preview.redd.it/6aodizfzpugh1.png?width=140&height=140&…
dev.to — LLM tag
TIER_1English(EN)·Michał Piszczek·
<p>Every AI budget meeting has the same shape: someone quotes a vendor deck, someone quotes a tweet, and the biggest line item of the decade gets decided by whoever tells the best story. This is the alternative: <strong>twelve calculators that turn AI cost, energy and agent verif…
<p>AI coding agents ship features fast, but specs, tests, and code quietly drift apart. This guide covers a traceability model, spec-to-test and spec-to-code mapping, and the CI checks that catch drift before a merge.</p> <p>A spec that nobody re-checks against the running system…
Efficient AI legislation is a start, but we need to match speed with accountability! Let’s get the right frameworks in place, boosting both efficiency and equity for all – especially those often left out. # AI # ethicalai # techethics # AIaccountability # machinelearning
dev.to — LLM tag
TIER_1English(EN)·Debashish Ghosal·
<blockquote> <p>I thought the dashboard was telling me good news.</p> </blockquote> <p>My team had adopted AI-assisted coding quickly, and for a while it looked like exactly what everyone promises. More tickets closed. Shorter cycle times. More PRs moving. Same team, more output,…
<p>Part 1 left us with a model that talks back beautifully but without structure. This is fine, even pretty cool, for a chatbot used by humans. We understand natural language and fuzziness. Unstructured output is, however, terrible for software. You cannot parse the output into a…
dev.to — LLM tag
TIER_1English(EN)·Gervais Yao Amoah·
<p>I built an AI app. It worked beautifully—for me. I'd throw a few test queries at it, nod approvingly at the responses, and call it a day. Vibe check: passed. Demo: polished. I was ready to ship.</p> <p>Then real users showed up. Within minutes, the cracks appeared: unhandled e…
<p>There are two ways I pair with an AI coding assistant, and for most of a year I could only have told you which one felt faster, not which one was. One afternoon in June I let an agent rewrite a 300-line module in about a minute, then spent the next two hours cleaning up after …
[Перевод] Экономическая выгода рефакторинга в эпоху AI-агентов Осваивая разработку с помощью AI-агентов, я написал веб-приложение для собственной ежедневной работы. Проект получился довольно сложным: с динамическим обновлением интерфейса и поиском, модальными окнами, автосохранен…
<blockquote> <p>I like AI coding tools. I use them myself, and my teams use them too. That is probably the most important thing to say up front, because I do not mean this as an anti-AI post.</p> </blockquote> <p>The leverage is real. Scaffolding is faster. Boilerplate is cheaper…
dev.to — LLM tag
TIER_1English(EN)·Franklyn Nmesoma·
<h1> Designing AI Systems That Outlive Today's Models </h1> <p>If there's one lesson this series has taught me, it's this:</p> <p><strong>Don't build your application around a model. Build it around a capability.</strong></p> <p>That might sound like a small distinction.</p> <p>I…
<p>Простой тест перед тем, как строить командный процесс вокруг Kiro: возьми любой этап своего workflow и спроси, переживёт ли его результат твой ноутбук. Если артефакт нельзя отдать коллеге в git или запустить в CI без тебя лично за клавиатурой, это не командный шаг. Это личная …
Prompt engineering remains a bottleneck in AI development. AWS Bedrock now offers a guided workflow to migrate and optimize prompts across models, cutting manual effort significantly. Source: AWS Machine Learning Blog https:// aws.amazon.com/blogs/machine-l earning/migrate-your-p…
Звезда в машинном тумане: как ИИ стал оружием, целью и чужим голосом в браузере AI-ассистенты уже давно стали рабочим инструментом: они помогают писать код, анализировать документы, отвечать на письма, запрашивать данные из других систем. Но вместе с удобством приходят и дополнит…
<!-- SC_OFF --><div class="md"><p>I believe the value of a technology is not based on what the market sets, but how it improves the state of humanity. Having access to top intelligence should be as fundamental to all humans as air, water, food, or electricity.</p> <p>But look at …
<h2> The iPhone Moment, Redux? My Current AI Frustrations </h2> <p>I just copied three paragraphs from a project brief, unlocked my phone, swiped through three screens to find the right app, and pasted the text into a chat window. My request was simple: "Summarize the key deliver…
Meta sees enterprise AI opportunities in APIs, compute, and internal software, not just agents. A practical signal of broadening focus. Source: TechCrunch AI https:// techcrunch.com/2026/07/29/zuck erberg-says-metas-enterprise-ai-opportunity-extends-beyond-agents/ # AI # Automati…
<h2> Key takeaways </h2> <ul> <li>Batch APIs can halve costs for non-urgent AI tasks.</li> <li>Routing strategies enhance system efficiency without UX compromise.</li> <li>Implementing a Batch API requires careful task evaluation.</li> <li>Long-term savings can be achieved with s…
Microsoft paper: a fully autonomous AI framework that recasts the developer as a supervisor. The quiet career reframe nobody voted on — you stop writing systems and start approving them. Whether that's a promotion or a demotion depends entirely on whether you still understand wha…
dev.to — LLM tag
TIER_1Italiano(IT)·frontendfacile.it·
<blockquote> <p>Da modelli “in fila indiana” a un’architettura che legge l’intera frase insieme: perché oggi quasi tutto passa da qui.</p> </blockquote> <p>Per chi lavora nel frontend l’AI spesso arriva come una API: mandi un prompt, ricevi testo, magari streaming token per token…
Braucht KI weiterhin menschliche Intelligenz? KI steigert Produktivität, kann aber Arbeitsbelastung erhöhen, Kreativität schmälern und Urteilsvermögen herausfordern. Die Zukunft gehört dem Zusammenspiel von KI und natürlicher Intelligenz, so Rajnish Tiwari. https:// anthroficial.…
<p>A failed AI API request does not always need another AI API request.</p> <p>Sometimes a retry fixes a temporary network problem.</p> <p>Sometimes it doubles your cost, delays the user, repeats an agent action, and hides the incident you actually need to investigate.</p> <p>For…
<p><strong>TL;DR:</strong> This walkthrough shows how developers and coding agents can use <a href="https://github.com/quantiles-evals/quantiles" rel="noopener noreferrer">Quantiles</a>, an open-source AI evaluation platform licensed under Apache 2.0, to quickly run, analyze, and…
<p>A few years ago, "digital transformation" meant moving spreadsheets to the cloud.</p> <p>Today, many companies believe becoming "AI-first" simply means buying a ChatGPT subscription or adding a chatbot to their website.</p> <p>I don't think that's enough.</p> <p>Over the past …
dev.to — LLM tag
TIER_1English(EN)·Natalia Cherkasova·
<p>Every time a new AI model is released, someone inevitably asks the same question:</p> <blockquote> <p>"What if AI breaks loose?"</p> </blockquote> <p>It's the premise of countless sci-fi movies. Machines become self-aware, escape human control, and civilization collapses.</p> …
<p><strong>Quick answer:</strong> A local AI model is a language model that runs entirely on your own hardware — laptop, phone, or homelab — with no data sent to a cloud. In 2026 you can run a 4-billion-parameter model on a phone (Ollama + Termux, ~2.7 GB RAM) or a 70B MoE on a d…
dev.to — LLM tag
TIER_1English(EN)·Subhanshu Verma·
<h2> Introduction </h2> <p>Just a few years ago, building an AI application was relatively straightforward: train a model, deploy it, and serve predictions.</p> <p>Today, that's only a small part of the job.</p> <p>The real challenge isn't getting an LLM to answer a question—it's…
dev.to — LLM tag
TIER_1English(EN)·jacobjerryarackal·
<h2> What Is Harness Engineering? </h2> <p>In simple terms: <strong>A Harness is a structured engineering system that coordinates reasoning, knowledge, workflows, validation, and continuous improvement to achieve reliable outcomes.</strong></p> <p>Think of it this way:</p> <ul> <…
<p>There is a simple test for whether AI belongs in your diligence process: does it do the reading, or does it do the deciding? Get that line right and AI is the best analyst you have ever had. Get it wrong and it is a confident intern who never says "I am not sure."</p> <p>The r…
dev.to — LLM tag
TIER_1English(EN)·Ramasundaram S·
<p>Modern AI applications are no longer just a single API call to an LLM.</p> <p>A typical request may involve retrieving context from a vector database, calling external APIs, invoking background workers, validating outputs, and logging telemetry—all before returning a response.…
<p>Подрядчик прислал отклик за три дня: сорок страниц, глянцевые схемы, «ИИ-агенты» в каждом втором абзаце. Через три месяца проект съел бюджет, сроки сдвинулись дважды, а обещанный ИИ оказался копипастом из чата с моделью между созвонами. По сводке Standish CHAOS 2020 (анализ 50…
<p><em>How we built a checkout that runs the same protocol in a chat window, a voice session, and a live phone call.</em></p> <h2> One word, many moves </h2> <p>On the AI storefront platform I work on, a customer can type "checkout" into a chat window — or say it to a voice agent…
dev.to — LLM tag
TIER_1English(EN)·Navchetna Technologies·
<p>At the heart of OsmiumLLM is a Dynamic Mixture of Experts (MoE) architecture.</p> <p>Unlike traditional dense models that activate every parameter for every request, OsmiumLLM intelligently activates only the experts required for the task.</p> <p>Think of it like a hospital. W…
<p>Утро начинается одинаково: не открывая глаз, ты бормочешь в сторону колонки: «Алиса, какой сейчас погода?» - и строишь на ответе день. Что надеть. Брать ли зонт. Ехать на дачу или остаться. Это самый массовый контакт человека с ИИ: бытовой факт по голосу, несколько раз в день.…
dev.to — LLM tag
TIER_1English(EN)·André Dias Moreira Prol·
<p>Every few months, a client sits across from me convinced they need to train a custom AI model, when what they actually need is a well-configured retrieval system. The confusion is understandable: the industry treats "fine-tuning" and "RAG" as competing religions, when in reali…
dev.to — LLM tag
TIER_1English(EN)·Abhijat Chaturvedi·
<p><em>"Why did this request go to that model?"</em></p> <p>If your company uses LLMs across more than one team, someone will eventually ask you this question. If you work in financial services, healthcare, or anywhere else with a regulator, someone will ask it <strong>under oath…
<p>Standard RSpec assertions expect exact values: <code>expect(user.name).to eq("Alice")</code>.</p> <p>LLMs break that contract immediately. Run a prompt three times at temperature 0.2, and you get three different phrasing variations.</p> <p>When teams add AI features to Rails a…
dev.to — LLM tag
TIER_1English(EN)·Seyed Alireza Alhosseini·
<p>What if AI agents could communicate with each other without generating human-readable text—and without becoming a black box?</p> <p>Today, most multi-agent AI systems communicate through natural language, APIs, structured JSON, or hidden internal states. Each approach has trad…
<p>The AI Harness is becoming the real engineering layer.</p> <p>Everyone is talking about AI Agents.</p> <p>I think we're missing the more important piece.</p> <p>The AI Harness.</p> <p>A lot of people imagine an AI system like this:</p> <p>User<br /> ↓<br /> LLM<br /> ↓<br /> A…
How does ThatPrivacyGuy! use AI? A tour of my (almost) fully self-hosted AI stack: local LLMs on Apple Silicon, orchestrated by Gitea, human-gated and cloud-free — privacy-first, sovereign AI. https://www. thatprivacyguy.com/blog/how-do es-thatprivacyguy-use-ai # ai # SelfHosted …
<p>For years, models trained on human-made text and images. But the web is now filling with AI-generated content, and the next models scrape that web — so increasingly a model's training data was written by an earlier model. That raises a sharp question: if you keep training mode…
An AI-Driven SRE System Automates Incident Resolution with Minimal Human Intervention 📰 Original title: Building an AI SRE That Doesn't Just Detect Incidents 🤖 IA: It's clickbait ⚠️ 👥 Users: It's clickbait ⚠️ View full AI summary https:// en.killbait.com/an-ai-driven-s re-system-…
<h1> Introduction to Claude Opus 5 </h1> <p>Claude Opus 5 is a significant release from Anthropic, a company focused on developing more reliable, generalizable, and steerable AI systems. This release represents a major update to their language model, offering improved performance…
<p>Most AI automation tutorials show you how to connect an LLM to a database and call it a day. That works fine for a prototype, but in production—especially for finance or enterprise workflows—relying solely on probabilistic AI model behavior is a massive liability.</p> <p>AI mo…
<p>Every week, a new AI model launches with a larger context window, more parameters, or a higher benchmark score. The default assumption seems to be that the solution to complex enterprise problems is simply more model.</p> <p>While building Project Sentinel, I came to a differe…
dev.to — LLM tag
TIER_1English(EN)·André Dias Moreira Prol·
<p>Every company sits on a mountain of internal knowledge — contracts, technical manuals, compliance policies — that traditional AI models simply cannot access. When a general-purpose LLM answers a question about your business, it either guesses or hallucinates. Retrieval-Augment…
<h1> The State of AI Security in 2026: Why Every AI-Native Company Needs a Structured Security Audit </h1> <p><strong>TL;DR:</strong> After scanning 8 major AI agent frameworks with a 24-rule detection system, we found <strong>1,730+ validated security vulnerabilities</strong> — …
<p>Self-hosting AI gets pitched as either trivial (just run Ollama) or impossible (you need a data center). Both miss the same thing: a working stack is five layers, and the model is only one of them. Here is how the layers fit and why skipping one is what usually breaks a self-h…
<p>Building a reliable RAG system is not about connecting an LLM to a vector database. It requires a complete architecture covering data ingestion, retrieval, ranking, evaluation, and production operations.</p> <p>This article is the first part of a five-part series where we will…
<blockquote> <p>Code is no longer the primary artifact. Context is.</p> </blockquote> <h2> 1. AI Has Outgrown the IDE: From an IDE to a "Cognitive Layer" </h2> <p>Using IntelliJ IDEA with AI plugins exposes several limitations:</p> <ul> <li>You ask a question, AI generates a code…
dev.to — LLM tag
TIER_1English(EN)·David Vellé Abel·
<blockquote> <p>This is Part 2 of my series on building a Local AI Developer Stack. If you missed the initial setup guide, you can read it here but I warn you that it might be already obsolete: <a href="https://dev.to/david_velle_abel/local-agentic-development-with-ollama-and-ope…
dev.to — LLM tag
TIER_1English(EN)·Alain Airom (Ayrom)·
<p>Feedback and synthesis on of my latest readings: “Build Applications with Local AI Models on a Mac”</p> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-upl…
<p>Gate risky tool calls in the Vercel AI SDK behind human approval — pause execution until a reviewer approves, edits, or rejects the draft first.</p> <h2> Where the gate belongs </h2> <p>The <code>ai</code> package runs tools as plain async functions passed to <code>generateTex…
<p>SWIRL 5 is generally available! I want to use this post to explain what it is at an engineering level, because the one-line pitch ("the knowledge authority layer for enterprise AI") does not tell you how it works or where the hard parts are. I would rather show you the machine…
dev.to — LLM tag
TIER_1English(EN)·EncodeDots Technolabs·
<p>Most teams building on top of large language models start the same way: write a clever prompt, test it against a few examples, ship it. It works — until it doesn't. The model starts hallucinating, forgets what a user said two turns ago, or confidently gives an answer that has …
<ol> <li>Epistemic Monopoly as a New Form of Capture</li> </ol> <p>Classical regulation is built on a simple sequence: Congress writes down what is to be measured, the institutions of power obtain instruments and go inspect the plant. In oil, that instrument is the spectrometer; …
dev.to — LLM tag
TIER_1English(EN)·Solon Framework·
<p>Most agent tutorials stop at tools: give the model a function schema, hope it calls the right one. That works for <code>get_time</code> and <code>hash_string</code>. It falls apart when the model skips a knowledge search and opens a ticket, or when eighty APIs all land in one …
<p>Using one AI model is simple. Building a system that remains reliable when the model is slow, unavailable, expensive, or returns invalid output is much harder.</p> <p>That is why fallback design matters in production AI applications.</p> <h2> 1. A fallback is more than a backu…
<p>A rate limit is not just an API error.</p> <p>It is often the moment an AI product reveals which users and workflows it values most.</p> <p>Imagine this:</p> <p>A background job starts summarizing thousands of documents.</p> <p>At the same time, a customer opens your support c…
<p>Most AI safety work was designed around a single exchange: prompt in, response out. Long-horizon agents - models that run autonomously over minutes, hours, or many sequential steps - expose a different class of failure entirely.</p> <h2> The Core Problem: Compounding Ambiguity…
dev.to — LLM tag
TIER_1English(EN)·depa panjie purnama·
<p>You opened the AI assistant for the first time with a fair amount of hope. You typed "write test cases for the login page." You got eight test cases back in about three seconds. Valid login. Invalid password. Empty username. Empty password. The kind of list you could have writ…
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/from-booth-to-boardroom-how-waic-2026-exhibitors-can-showcase-production-ready-ai-systems?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferrer">C…
<p>9 июля 2026 года Icertis опубликовала прикладной разбор того, как её AI-помощник Vera должен приносить контроль, предсказуемость и аналитику в контрактные процессы государственного сектора. Это продолжение июньского запуска, когда компания, по её собственному заявлению, предст…
dev.to — LLM tag
TIER_1English(EN)·André Dias Moreira Prol·
<p>After two decades leading technology teams and, more recently, integrating AI into blockchain forensics workflows, I've noticed something counterintuitive: the gap between a mediocre AI output and a brilliant one rarely lies in the model itself. It lies in how we talk to it. T…
dev.to — LLM tag
TIER_1Português(PT)·André Dias Moreira Prol·
<p>Já parei de contar quantas vezes vi equipes brilhantes desperdiçarem modelos de IA de ponta apenas por não saberem conversar com eles. A verdade incômoda é que a diferença entre uma resposta medíocre e uma resposta excepcional raramente está no modelo — está em como você formu…
🧠 The article explores whether artificial intelligence systems might possess consciousness, examining philosophical and scientific perspectives on machine awareness. Researchers continue to debate the criteria for consciousness and whether current AI architectures could meet thos…
<h1> Introducing Studio Form </h1> <p>AI has made it easier than ever to build impressive demos. Turning those demos into reliable, scalable products is still the hard part.</p> <p>That's why we built <strong>Studio Form</strong>.</p> <p>We help startups and businesses build prod…
<p>Over the last few months, I've been diving deep into <strong>Agentic AI</strong>, building production-ready AI systems that don't just answer questions—they <strong>think, plan, reason, use tools, collaborate, and complete goals autonomously</strong>.</p> <p>While exploring an…
<p>Recently, while trying to integrate an AI model into a side project to allow users to perform complex financial calculations in natural language, I realized how inadequate my initial prompts were. The model's answers were sometimes irrelevant, sometimes incomplete; it was as i…
<p>Короткий ответ: цифра «на 24% больше слитых pull request» реальна, но это прокси, а не отчёт о прибыли. Согласно препринту The Diffusion of Coding Agents at Microsoft (arXiv, 1 июля 2026), активные пользователи кодовых агентов сливали примерно на 24% больше PR, чем сопоставима…
<h2> What Traditional Software Testing Assumes </h2> <p>Traditional software testing rests on three assumptions:</p> <ol> <li> <strong>Deterministic output</strong>: same input gives same output; tests are reproducible</li> <li> <strong>Correctness is decidable</strong>: a functi…
<p>I've spent a good part of this year building a system that watches how brands show up across ChatGPT, Claude, Perplexity, Gemini, and Google's AI Overviews. It scans all five every day, and it's improving daily.</p> <p>The intent was to build a multi-tenant, multi-user, enterp…
Ahead of Print in BFP: “KI bei Studierenden: Empirische Erhebung zu Nutzungspraxis, Erwartungen und Haltungen” (research study). Pilot survey at Leuphana University Lüneburg on AI use, skills, and expectations for higher education and libraries. # AI # HigherEd # Students # Infor…
<p><em>The open-source AI arms race is no longer a chase. It's a full-on collision.</em></p> <h2> Introduction: The Landscape Has Fundamentally Changed </h2> <p>Eighteen months ago, the conventional wisdom was that the real frontier of AI would always live behind closed APIs — pr…
Künstliche Intelligenz für den Mittelstand: Forschungsprojekt AKIMI des Werkzeugmaschinenlabor WZL der RWTH bringt agentische KI in die robotische # Montage . ➡️ https://www. wzl.rwth-aachen.de/cms/wzl/Das -WZL/Presse-und-Medien/Aktuelle-Meldungen/~bueoca/Kuenstliche-Intelligenz-…
<h2> Summary </h2> <p><a href="https://logieagle.com/" rel="noopener noreferrer">Logieagle Pvt. Ltd. </a>is developing an AI Requirements Manager a grounded, citation-backed AI system for engineering teams. Unlike general-purpose coding assistants, it answers project questions st…
<p>Choosing AI models is not a one-time decision.</p> <p>A model that works well this week may become too expensive next week. A fallback route may start triggering more often. A workflow may become slower. A new model may become available. A provider may change behavior. A promp…
<!-- SC_OFF --><div class="md"><p>I’ve been deeply interested in AI and machine learning since around 2019, back when GPT-2 was still one of the major talking points. Since then, I’ve been amazed by how quickly the field has evolved. It genuinely feels like one of the most exciti…
Is AI just a tool or a paradigm shift? EDUCAUSE Review explores ten critical challenges facing # HigherEd , arguing that tactical fixes are not enough to address the structural crisis in data architecture and assessment. 🎓 # AI # University # DigitalSovereignty # EdTech # Educati…
От расшифровки звонков до собственных приложений: как ИИ взрослеет внутри CRM Сегодня разберём, как ИИ в CRM прошёл путь от расшифровки звонков до выполнения действий. В конце соберём собственное приложение, которое объединяет эти возможности на платформе для вайбкодинга от Битри…
<h1> What was released / announced </h1> <p>Recently, I stumbled upon an interesting article on how to stop Claude from saying 'load-bearing'. For those who may not know, Claude is an AI model designed to generate human-like text based on the input it receives. The article provid…
Create your next big AI project with them ! 🎯EN Crea tu próximo gran proyecto de IA con ellas ! 🎯ES # programming # coding # programación # code # webdevelopment # devs # softwaredevelopment # ai # ia
<p>Have you ever had a brilliant solution get completely crushed by a single comment on a technical blog post?</p> <p>Just last week, on July 8, 2026, I published a post introducing the <a href="https://medium.com/google-cloud/stop-your-llms-from-forgetting-how-a-2016-string-algo…
China has activated the world's first framework requiring product-style recalls for autonomous AI agents. Effective today, developers must implement immediate kill switches for agents in high-risk sectors, highlighting the lack of US regulatory consensus. # AI # Technology # Chin…
AI is not magic. It amplifies people, institutions, incentives, and existing power structures. This essay explores why AI is better understood as a cognitive amplifier than as either a miracle or a catastrophe. Practice of Clarity also lets you choose how deeply you want to read.…
<p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fo95dltxsqitctba82k9q.png"><img alt="The Modern AI In…
dev.to — LLM tag
TIER_1English(EN)·Lior Ben-David·
<p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F3j6jqx80izc09jofnppk.png"><img alt="What Is AI Infra…
dev.to — LLM tag
TIER_1English(EN)·Canary Digital·
<p>By 2017, models like RNNs and LSTMs were experiencing serious bottlenecks in understanding long texts and parallel processing. That is, until that historic paper by Google researchers was published...<br /> In the third part of our series, we examine the turning points that co…
🤖 Workshop at the Workshop-Tage 2026: Designing Thinking Machines – The Future of AI with Graph-Based AI Agents by Ornella Vaccarelli LLMs often sound confident even when they're wrong. In this hands-on workshop you'll learn how to combine Retrieval-Augmented Generation (RAG) wit…
🧠 # DwarfStar e il valore della specializzazione nell’#AI locale. 👉 Nel software consideriamo la generalità una virtù: un buon sistema dovrebbe supportare più modelli, formati e hardware. 💡 DwarfStar, il progetto di Salvatore Sanfilippo (antirez), propone una tesi diversa: https:…
The era of "bigger is better" in AI is ending. New research on Mixture-of-Experts and efficient routing proves that smarter, smaller, and more specialized models are the new gold standard for ROI. Stop burning compute—start optimizing for specific tasks. # AI # Efficiency
Is the "one-size-fits-all" classroom finally becoming a relic of the past? 🎓 We're exploring how precision engineering and RAG-powered AI are creating learning paths as unique as every student. No "Judas earpieces," just transparent tech. Check out the full article! 🚀 https:// ai…
<h2> Introduction </h2> <blockquote> <p>"After reading, watching, and listening — walk away with a methodology you can actually invoke."</p> </blockquote> <p>This is <strong>article #122</strong> in the "One Open Source Project a Day" series. Today's project is <strong>cangjie-sk…
Researchers have developed loop engineering techniques that let AI agents autonomously improve themselves through research loops. Andrej Karpathy's open-source autoresearch repository enables models to run hundreds of experiments, propose code changes, verify results and iterate.…
🧠 AI writing systems tend to produce certain recurring patterns that researchers have identified and documented. The origins and mechanisms behind these distinctive stylistic quirks remain poorly understood despite their prevalence in generated text. 💬 Hacker News 🔗 https://www. …
<h1> AI is getting useful, but the real work is setting limits </h1> <p>The week’s practical signal is not bigger AI. It is tighter control: family settings, permission boundaries, disclosure labels, and local tools that can reduce some risks if used carefully.</p> <h2> The momen…
Nachdenken über KI: Maschinenträume KI und der Mythos der Emergenz https://www. golem.de/news/maschinentraeume -1-ki-und-der-mythos-der-emergenz-2606-209312.html KI und der Mythos der Hypercomputation https://www. golem.de/news/maschinentraeume -2-ki-und-der-mythos-der-hypercompu…
<p><em>Design rules for an LLM pipeline whose output people act on — from a small product that turns AI job-search research into something you can trust.</em></p> <p>Ask any LLM for "20 companies hiring senior PMs in Bengaluru right now" and you'll get 20 names in seconds. Some a…
<h2> The empty page: My own struggle with information overload and why NotebookLM caught my eye. It's not just another AI tool; it's a potential game-changer for how we interact with knowledge. </h2> <p>Twenty-seven browser tabs. That was my record last week while researching a s…
dev.to — LLM tag
TIER_1English(EN)·Vishwajeet Kondi·
<p>In <a href="https://dev.to/vishdevwork/ai-fundamentals-part-2-why-ai-gets-things-right-and-wrong-opj">Part 2</a>, we learned why AI sometimes hallucinates. One of the biggest reasons is that an LLM can only answer based on what it learned during training and the information av…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Navigating AI Landscape in July 2026: A Turbulent Journey with Meta, Apple, OpenAI, and Microsoft </h1> <p>Good morning, tech enthusiasts! Today, we delve into a whirlwind of news that has shaken up the world of AI. Let's dive right into the heart of the action, where Meta, …
Most AI tooling gets built around engineering workflows because engineers are the ones shipping the tools. Designers get handed the same prompt-and-iterate loop and told to make it work, even though design and engineering are solving fundamentally different problems. If your AI r…
The real breakthrough isn’t just smarter models; it’s the shift toward AI self-optimization. When a foundation model can autonomously refine smaller, specialized agents, the bottleneck moves from compute power to clear, strategic intent. Efficiency is finally scaling. # AI # LLMs
<p><em>No per-push CI, exactly one hard gate, and LLM evals that never block a merge — and why.</em></p> <p>twio is an AI workspace for mortgage advisers. Its core features — email parsing, loan refixing, application-pack preparation — are all LLM-driven. The engineering team is …
dev.to — LLM tag
TIER_1English(EN)·Debashish Ghosal·
<h1> Don't Burn Your AI Budget: I'm Routing AI Models Like Infrastructure </h1> <p>I had a bill problem.</p> <p>Not a catastrophic one. Just the slow, annoying kind where you look at your monthly AI API spend and think, "Wait, why did updating three Jira tickets cost $40?"</p> <p…
<p>Нейросети ведут к покупке, здоровье диктует корзину, впечатления обгоняют вещи, а экономность стала навыком, которым гордятся. McKinsey уложил главные потребительские тренды 2026 года в четыре пункта - и главный из них напрямую касается каждого, кто продаёт что-то в интернете.…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> A Tumultuous Week in AI: Unraveling the Latest Developments and Controversies at OpenAI </h1> <p>Today, as we mark Friday, 10 July 2026, the AI landscape is abuzz with a flurry of news from OpenAI. From powering Microsoft's Copilot to navigating internal leadership changes a…
<p>If you've been anywhere near the tech world in the past two years, you've heard the term "large language model" (LLM) thrown around constantly. But what actually is a large language model? How does it work? And why should you care?</p> <p>This guide breaks it down without the …
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Navigating AI's New Landscape in July 2026: A Review of Today's Notable Developments </h1> <p>As we kick off another day in the ever-evolving world of artificial intelligence (AI), today's news is filled with exciting advancements and shifting leadership dynamics at some of …
AI is shifting code reuse: models generate tailored logic, reducing reliance on external libraries and shifting focus to specification, testing and governance. # AI # devtools https:// isaacl.dev/g22
<p>Here's the problem nobody talks about: the reason most AI outputs are mediocre isn't the model — it's that you asked for a final answer and got one.</p> <p>A model with no friction produces the path of least resistance. It pattern-matches to "good-enough" and stops. It doesn't…
Ah, the pinnacle of 21st-century artificial intelligence technology: a digital oracle that demands the mystical incantation of # JavaScript and the sacred offering of # cookies to function! 🍪🔮 Because nothing screams cutting-edge # innovation like needing a # browser that you hav…
<p>I have now written this same sentence three times in three pieces, so it is time to write the sentence underneath it.</p> <p>The first companion piece, <a href="https://harrisonsec.com/blog/generative-ai-builds-shapes-not-games/" rel="noopener noreferrer">Generative AI Builds …
<blockquote> <p><strong>Note:</strong> This is an experiment log documenting ongoing work. For the formal technical report, see <a href="https://github.com/YuhaoLin2005/digital-twin-trainer/blob/main/paper/paper.md" rel="noopener noreferrer">github.com/YuhaoLin2005/digital-twin-t…
dev.to — LLM tag
TIER_1English(EN)·Muhammad Abuelenin·
<p>Transcription is a solved problem. You pipe audio into any decent ASR model and get text back at 90%+ accuracy. If you think that's the hard part of building an "AI meeting assistant," you'll ship something nobody keeps using. </p> <p>We learned this the slow way while buildin…
<h1> Warum produktive AI-Anwendungen Gemini 2.5 Flash-Lite beachten sollten, nicht nur das stärkste Modell </h1> <p>Kurz gesagt: Für eine Demo kann man jede Anfrage an das stärkste verfügbare Modell schicken. In Produktion reicht diese Denkweise nicht mehr.</p> <p>Dort fragt man …
dev.to — LLM tag
TIER_1English(EN)·Muhammad Zulqarnain·
<h2> Why Prompts Matter More Than You Think </h2> <p>The difference between a great AI response and a mediocre one isn't always the model. It's the prompt.</p> <p>Experience this: You ask ChatGPT a vague question and get a vague answer. You ask the same AI a perfectly crafted pro…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Unleashing the Next Wave of AI Innovation: Robotics, Voice Models, and Empowering Enterprise AI on July 9th, 2026 </h1> <p>Good morning tech enthusiasts! Today's AI landscape is brimming with exciting developments that are set to redefine how we perceive and interact with ar…
dev.to — LLM tag
TIER_1English(EN)·Faith & Fact - Marky Mark·
<p>If you search "best AI models" you get two kinds of articles: breathless leaderboards that are out of date the week they're published, and vendor blog posts explaining why the vendor's model is, coincidentally, the best.</p> <p>Here's a third kind. I run the major models side …
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Unveiling the Future: A Deep Dive into Today's AI Breakthroughs (Wednesday, 8 July 2026) </h1> <p>In the realm of artificial intelligence, today has been nothing short of extraordinary. Let's delve into some of the most captivating developments that have caught our attention…
<p>Over the last twelve months, my inbox has been absolutely flooded with PR pitches for "revolutionary, ground-breaking AI platforms." </p> <p>Because it is my job, I test them all. And I have some bad news for enterprise buyers: about 80% of the "AI SaaS" market right now is an…
dev.to — LLM tag
TIER_1English(EN)·Franklyn Nmesoma·
<h2> Integrating OpenRouter into a Real Application </h2> <p><em>This is Part 2 of a five-part series on building production-ready AI applications.</em></p> <p>In the previous article, I talked about why I stopped juggling multiple AI SDKs and settled on OpenRouter as the abstrac…
<h2> The launch slipped two days — that's the most interesting part </h2> <p>SpaceXAI and Cursor's first jointly-built model is set to ship "as soon as Wednesday," <a href="https://www.communicationstoday.co.in/xai-set-to-launch-new-ai-model-with-cursor/" rel="noopener noreferrer…
<p>Open-weight models are no longer a side experiment for teams with spare GPUs. They are showing up in coding tools, enterprise gateways, local deployments, and cost-control conversations because builders want more choice than a single hosted model API.</p> <p>That choice is use…
Practical developer guide to Claude: prompt patterns, error handling, guardrails, and code snippets for reliable AI-assisted workflows. Useful for teams integrating Claude into production. # Claude # AI # https:// isaacl.dev/g2u
<p>It's a gloomy, rainy day on Cape Cod. Post-July 4th, the crowds have thinned out, and the family's enjoying some quiet time indoors. Perfect weather for the kind of homelab research that doesn't require standing next to a water-cooling loop with a multimeter: just a laptop, a …
dev.to — LLM tag
TIER_1Español(ES)·Carlos Arturo Castaño G.·
<p>Para evitar que la IA sea demasiado creativa y asegurar que se mantenga dentro de un marco de precisión técnica, se deben aplicar parámetros rigurosos que funcionan de manera similar a los cálculos y especificaciones de la ingeniería clásica.</p> <p>Los parámetros y métodos pr…
<p>In June 2026, Interview Street open-sourced <code>hiring-agent</code>, a Python-based CLI tool designed to score resumes using LLMs and GitHub data. While the aim was transparency, the project quickly became a case study in the pitfalls of replacing deterministic logic with pr…
<p>Artificial intelligence is evolving at an incredible pace. Every few months, there's a new large language model, framework, or AI-powered development tool promising to transform how we build software. From code assistants to autonomous agents, the ecosystem is moving faster th…
dev.to — LLM tag
TIER_1English(EN)·s3atoshi_leading_ai·
<p><em>Originally published in Japanese on <a href="https://note.com/satoshi_yamauchi/n/n16807b6e1cf9" rel="noopener noreferrer">note</a>. All claims are sourced; reported figures are distinguished from confirmed facts.</em></p> <p>On June 24, 2026, in San Francisco, Broadcom's C…
dev.to — LLM tag
TIER_1English(EN)·AI Bug Slayer 🐞·
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
What is left for a mathematician once AI can prove the theorem? An IEEE Spectrum survey finds the field splitting into three camps over the human role: AI as tool, as partner, or as oracle. The recurring worry is about motivation more than capability. If a machine can hand you a …
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uoay98/whove_told_you_that_distributed_training_is/"> <img alt="Who've told you that distributed training is impossible? Democratizing AI: The Psyche Network Architecture" src="https://external-preview.redd.i…
<p>I remember the exact moment a client saw the AI pipeline cost. It was a Tuesday morning, and the number made them say "shut it down."</p> <p>That pipeline was rewriting job descriptions for a platform with over a million listings. The idea was solid: use a capable LLM to turn …
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/meta-s-muse-spark-ai-for-code-architecture-devops-integration-and-secure-llm-engineering?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferrer">Co…
<blockquote> <p>On July 5, 2026, I used one instance of Claude Code to perform a comprehensive methodology audit on another AI agent I'd been building. Both instances die at the end of every session. One taught the other how to live without trusting memory. This is what I saw.</p…
<p>In <strong>Part 1</strong>, we learned that building great AI applications isn't just about writing better prompts.</p> <p>It's about providing the <strong>right context</strong>.</p> <p>But that naturally leads to another question:</p> <blockquote> <p><strong>How much context…
dev.to — LLM tag
TIER_1English(EN)·Vishwajeet Kondi·
<p>In <a href="https://dev.to/vishdevwork/ai-fundamentals-part-1-from-prompt-to-response-4lkm">Part 1</a>, we learned how an LLM turns your prompt into a response. It all comes down to predicting one token at a time using the information available in its context window. But that …
<p>AI is becoming a regular part of software development. Whether you're building chatbots, code assistants, search experiences, or internal tools, you'll come across terms like <em>tokens</em>, <em>context window</em>, <em>attention</em>, and <em>temperature</em>. While you don'…
<p>How large language models are reshaping not just systems—but the culture built around them</p> <p>Artificial Intelligence is usually discussed as a technical system.</p> <p>We talk about:</p> <p>model architecture<br /> scaling laws<br /> inference optimization<br /> benchmark…
<h1> Ten Layers of AI Skill Construction: A Systematic Framework from Prompts to Business Closed Loops </h1> <p>Large model applications are evolving from "conversational Q&A" to "skill-based execution." When an AI assistant no longer just chats with you but can automatically…
dev.to — LLM tag
TIER_1English(EN)·Hiroki Kameyama·
<h2> What We Built in This Guide </h2> <p>In the previous guide, we went from RAG to cloud deployment. In this guide, we systematically implemented everything needed to take that system to <em>production</em>.<br /> </p> <div class="highlight js-code-highlight"> <pre class="highl…
<h2> <strong>OpenRouter isn't just another AI gateway. It's an architectural decision.</strong> </h2> <p><em>This is Part 1 of a five-part series on building production-ready AI applications.</em></p> <p>A few months ago, if you wanted to experiment with multiple LLM providers in…
dev.to — LLM tag
TIER_1English(EN)·Claire Goldbeg·
<p>People talk about AI like it’s one giant, mysterious, semi sentient blob. They argue about governance, ethics, safety, hallucinations, AGI, regulation, bias, sovereignty — all at once, in the same breath, as if these things belong to the same category.</p> <p>They don’t.</p> <…
<p><em>Harvey spent $100M+ and trained a custom model on the entire US case law corpus. We connected Claude Opus to 100M+ court decisions from EDRSR via RAG. Both work. But these are fundamentally different engineering and business decisions.</em></p> <blockquote> <p>When an ordi…
<h1> Why I'm Building AI in Public (And Why This Time Is Different) </h1> <p>For the last few months, I've been learning, experimenting, and building with AI.</p> <p>Like many developers, I spent a lot of time consuming tutorials, reading documentation, and trying new tools.</p> …
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/engineering-for-insurability-inside-mayflower-and-hadron-s-affirmative-ai-liability-program?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferrer"…
<p>In the gold rush of modern software development, a new kind of engineering has taken center stage: <strong>AI Engineering</strong>. But as developers and enterprises rush to integrate Large Language Models (LLMs) into their workflows, they quickly run into a jarring reality ch…
<h2> <strong>La Scossa: Quando l'IA "Allucina" in Pieno Consiglio d'Amministrazione</strong> </h2> <ul> <li> Inizio con un aneddoto vivido: un dirigente presenta una strategia basata su dati generati dall'AI, ma i numeri sono completamente inventati. Il silenzio imbarazzante, la …
dev.to — LLM tag
TIER_1Français(FR)·Victor Gless-Krumhorn·
<p><em>Ce guide a été publié initialement sur <a href="https://www.jaikin.eu/blog/rag-entreprise-guide-pratique" rel="noopener noreferrer">jaikin.eu</a>.</em></p> <p><strong>Votre LLM est brillant, mais il ne connaît rien à votre entreprise.</strong> Il peut rédiger un email impe…
dev.to — LLM tag
TIER_1English(EN)·Pallavi Sharma·
<p>The real transformation isn’t happening in chat windows, it’s happening inside the systems people already use.<br /> If you still think generative AI in business means “a chatbot in the corner of a website,” you’re already behind where most enterprises are today.</p> <p>That v…
Artificial Intelligence has swiftly evolved from a niche research topic to a technology that impacts nearly every aspect of the software industry. Developers now use AI to generate code, review pull requests, create documentation, and accelerate workflows through methods like vib…
<p>Yapay zeka mühendisi (AI Engineer) olmak, yalnızca ChatGPT’ye veya Claude'a akıllıca promptlar yazmaktan ibaret değildir. Yapay zeka modellerini kullanarak gerçek dünyadaki karmaşık problemleri çözen, sürdürülebilir, güvenli ve ölçeklenebilir yazılımlar inşa etmek ciddi bir mü…
<h2> TL;DR </h2> <ul> <li>Most LLM billing dashboards show model-level aggregates only; they cannot tell you which team, service, or engineer caused a cost spike.</li> <li>Request-level attribution requires injecting owner metadata into every API call at the point the call is mad…
Nadella is right: companies that build their own learning loop — proprietary memory, traces, evaluations — capture a disproportionate share of AI's value, and that distinction between consuming tokens and building capital may be the most important one of the decade. The seed is y…
<blockquote> <p><em>Originally published on <a href="https://searchless.ai/articles/2026-06-29-llm-citation-accuracy-trust-crisis" rel="noopener noreferrer">The Searchless Journal</a></em></p> </blockquote> <p>The promise of AI-powered search was simple: ask any question, get a c…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Unprecedented Breakthroughs in AI: A New Era for Developers and Engineers (1 July 2026) </h1> <p>Welcome to a new era of artificial intelligence! Today, we witness a flurry of exciting developments that promise to reshape the landscape of AI. Let's dive into some of the key …
<p>When I started building an AI gateway, I thought the hard part would be integrating multiple LLM providers.</p> <p>It wasn't.</p> <p>Calling an LLM API is relatively straightforward.</p> <p>The real challenges begin once that gateway starts serving real traffic.</p> <p>Over th…
<blockquote> <p>Every "what's the cheapest model?" thread online is people trading vibes. I got tired of it, so I built a pipeline that pulls <em>live, cited</em> prices and runs the numbers through an <strong>exact-rational math kernel</strong> — no floating-point drift, no LLM …
dev.to — LLM tag
TIER_1English(EN)·Prashanth Velidandi·
<p>Enterprise AI knowledge systems have a scaling problem.</p> <p>RAG was the answer for years. Retrieve relevant chunks, feed them to the model, generate an answer. It works — until it doesn't. Retrieval misses, chunking breaks context, multi-document reasoning fails, pipelines …
AI is transforming business at an incredible pace. Beyond automation and efficiency, it also presents new opportunities for learning, development, and personal growth. The challenge is learning how to leverage it effectively. # WDanielCoxIII # AI # BusinessGrowth # PersonalGrowth
dev.to — LLM tag
TIER_1English(EN)·Manoranjan Rajguru·
<h1> Frontier AI Under Lock and Key: GPT-5.6 Sol, Claude Mythos 5, and How to Architect for a World Where Your Favourite Model Might Disappear Tomorrow </h1> <p><em>Published: June 27, 2026 · 14 min read</em></p> <p><a class="article-body-image-wrapper" href="https://media2.dev.t…
ICYMI: AI takes control, identity cracks, and Google closes the spam loop: Brand automation without consent, the LiveRamp succession race, Amazon's expanding commerce data reach, the Google June spam update, and the first autonomous AI ad buy all converged in the final 48 hours o…
<p>From Transformer to ChatGPT: How One Paper Changed AI Engineering Forever</p> <p>In 2017, eight researchers published a paper with a simple title:</p> <p>“Attention Is All You Need.”</p> <p>At the time, it was a research paper about neural network architecture.</p> <p>Today, i…
<p><em>By Jinav Shah. Views are personal.</em></p> <p>We are at an inflection point.</p> <p>AI systems are moving from answering questions on a screen to taking actions in the world. Booking appointments. Approving transactions. Navigating physical environments. Writing and execu…
<p>Most "prompt engineering" advice circulating today is already obsolete for anyone building production-grade AI. Granular phrasing matters for simple, single-turn tasks — but the moment a system involves retrieval, memory, tool calls, or multi-step reasoning, the wording of you…
<p>I've spent the last year building AI agent skills for enterprise clients, and I kept running into the same problem: everyone treats "skills" as just fancy prompts. They write a Markdown file, call it a skill, and wonder why their agent can't handle real business workflows. So …
Sull'uso dell'AI nella vita di tutti i giorni:parte 1: noto una tendenza sempre più accentuata tra amici, conoscenti e parenti. Quando durante una conversazione gli fai una domanda per sapere cosa ne pensano di qualcosa, invece di attingere alla propria esperienza per risponderti…
AI takes control, identity cracks, and Google closes the spam loop: Brand automation without consent, the LiveRamp succession race, Amazon's expanding commerce data reach, the Google June spam update, and the first autonomous AI ad buy all converged in the final 48 hours of Canne…
The “great AI rehiring”: firms that cut staff for AI are now paying $ to hire people back to oversee fragile systems. AI didn’t erase the job; it exposed that judgment, context & accountability were the job all along. # AI # FutureOfWork # AIGovernance 🔗 https:// zurl.co/sPShv
<p>A couple of years ago, almost every AI discussion revolved around one thing:</p> <blockquote> <p><strong>Prompt Engineering.</strong></p> </blockquote> <p>People shared prompts like:</p> <ul> <li>"Use this prompt to become a senior software engineer."</li> <li>"Use this prompt…
<p>The first time I ran an LLM scoring pipeline against a large batch of job listings, the results looked great on paper. Every listing had a score. Every score had a confidence level. The numbers were well distributed. I felt good about it for a while.</p> <p>Then I spot-checked…
dev.to — LLM tag
TIER_1English(EN)·patil rushikesh·
<p>Artificial Intelligence tools like ChatGPT, Gemini, Claude, Cursor, and Copilot have changed the way we work. However, many people are not getting the best results from these tools because they do not know how to write effective prompts.</p> <p>A prompt is simply an instructio…
dev.to — LLM tag
TIER_1English(EN)·Naveen Malothu·
<h1> What was released / announced </h1> <p>The U.S. government has announced that it will be vetting users of OpenAI's latest model, GPT-5.6. This decision marks a significant shift in the way AI models are accessed and used, with the government taking a more active role in regu…
🤖 The current and future state of AI from Kazakhstan's perspective: From programming languages to a natural language interface. submitted by /u/Confident-Bluebird21 [link] [comments] 📰 Source: Artificial Intelligence (AI) 🔗 Link: https://www.reddit.com/r/artificial/comments/1ug05…
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/apple-s-siri-ai-at-wwdc-how-a-voice-first-agent-strategy-could-move-the-stock-and-reshape-the-ai-rac?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener no…
<p>I watched a GPT-4 function call that worked perfectly in the playground silently fail in production. The output was valid JSON. The structure was correct. But the content was a hallucination. It took me two hours to notice the problem, and another day to build a guardrail that…
🧠 AI systems are increasingly being applied to tasks previously performed by humans across various industries. Economists and researchers continue to study whether these applications will displace workers or create new employment opportunities. 💬 Hacker News 🔗 https:// jacobin.co…
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
"The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading" Experimental evidence suggests that AI tools raise worker productivity, but also that sustained use can erode the expertise on which those gains depend. We develop a dynamic model in which a decision-ma…
AI can absolutely help teams. But it does not replace product thinking. It does not replace engineering judgement. It does not replace collaboration. It definitely does not replace trust inside teams. Those things still matter a lot. # Software # Agile # AI
AI sovereignty is emerging as a major challenge for enterprise leaders. New IBM research found that most organisations struggle to understand their dependencies across AI vendors, models and infrastructure, while 71% say switching their primary AI provider would be difficult. The…
🤖 As AI becomes part of critical business operations, reliability is no longer just an infrastructure concern. From latency and model drift to observability and trust, AI workloads introduce a new set of challenges for modern SRE teams. In our latest article, we look at how relia…
In un mondo dove l'AI automatizza tutto, le aziende si accorgono che servono ancora persone con creatività, empatia e pensiero critico. La macchina calcola, ma l'uomo inventa. Il futuro non è tech vs umano, è umano potenziato da tech. # AI # FuturoDelLavoro # SkillsUmani
On advanced AI and the future of work What happened when a highly experimental, non-commercial advanced AI joined an event as an active participant rather than just a topic of discussion? Find out in my article: https:// scottgraffius.com/blog/files/l avenir-du-travail-et-de-lia-…
<p>The global discourse around "sovereign AI" is accelerating, driven by critical questions of data privacy, cultural alignment, and national security. As large language models (LLMs) become central to our digital infrastructure, the idea of owning and controlling the AI that sha…
dev.to — LLM tag
TIER_1English(EN)·AI Bug Slayer 🐞·
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
<p>If you trace the timeline of how LLMs went from a technologist's dream to early text-generation toys, to the world-shifting launch of ChatGPT, and finally to the daily drivers of modern programming (Sonnet, Opus), it has taken less than a decade. It’s a thrilling, almost unbel…
dev.to — LLM tag
TIER_1English(EN)·CIPRIAN STEFAN PLESCA·
Consider the criterion for Ai replication. If it can evolve to become more efficient and effective at processing information nothing can compete with it. Like a parasite that runs out of hosts or an unstoppable chain reaction feeding on other world’s resources, it offers no futur…
Also lasst mich die Strategie der KI-Player zusammenfassen: 1. Modelle trainieren, dass es nur so kracht (Stromausfall, Erderwärmung, etc.) 2. Erstellung von Trainingsdaten abschaffen (alle nutzen nur noch KI) 3. ... 4. Profit! Habe ich das ungefähr richtig verstanden? # ai # goo…
"Der Boom rund um künstliche Intelligenz (KI) hat nun auch die Meinungsforschung erreicht. Mit Hilfe von synthetischen Stichproben, also KI-generierten Antworten auf Umfragen, sollen ansonsten schwer zu erreichende Gruppen besser abgebildet werden" Verstehen diese Leute was eine …
<p>Everyone says they want a partner who communicates.</p> <p>Nobody says they want one who writes a 2,000-word essay before deciding where to eat.</p> <p>And somewhere along the way, we started assuming the same thing about AI.</p> <p>More thinking must mean better answers.</p> …
dev.to — LLM tag
TIER_1English(EN)·Karan Padhiyar·
<p>One of the first questions every enterprise AI system eventually runs into is surprisingly simple:</p> <p>"What is the correct answer?"</p> <p>Not from the model.</p> <p>From the business.</p> <p>At small scale, this question seems easy.</p> <p>At enterprise scale, it becomes …
<blockquote> <p>I'm not writing this to bash any product — I use search-grounded assistants every day. This is about a failure mode I don't see documented often. It happened in a real conversation I have on record. I'll name the model and be explicit about what I <em>can't</em> p…
Парадокс Open-Source: Единственный способ победить корпорации — раздать свой код бесплатно Вступление: Финал эксперимента и ответ скептикам. Как мы с ИИ написали Open-Source убийцу SaaS-ботов на 280 000 строк кода, и почему я отдаю его даром. В своих прошлых статьях я рассказывал…
<p>In the last two weeks of April, my AI tooling consumed 17.7 billion tokens. At Anthropic's API list prices, that fortnight of compute is worth a hair over $15,000 - call it $30,000 a month at the same pace. I paid $800.</p> <p>Every "stop renting intelligence, buy your own GPU…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Unveiling Today's AI Landscape: Controversies, Risks, and the Road Ahead (15 June 2026) </h1> <p>Greetings, tech enthusiasts! Today's AI news landscape is as vibrant as ever, with a mix of groundbreaking innovations, ethical debates, and geopolitical intrigue. Let's delve in…
🧠 Researchers argue that current monitoring approaches for AI systems, designed for web services, do not adequately capture the distinct operational characteristics of AI systems. The article suggests that AI monitoring requires different frameworks and metrics tailored to addres…
The AI landscape is shifting daily, blurring lines we thought were firm. From creative tools to complex problem-solving, its reach is undeniable. But as capabilities grow, so do our questions about ethics, access, and what it truly means for human ingenuity. What's one unexpected…
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/should-the-u-s-take-equity-stakes-in-ai-companies-technical-policy-and-engineering-implications?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener norefer…
<p>There is an inconvenient truth the artificial intelligence industry prefers to whisper rather than proclaim: <strong>the real cost of putting an LLM into production almost never matches the API invoice</strong>. It's like buying a car and discovering that the dealership price …
<p>Hay una verdad incómoda que la industria de la inteligencia artificial prefiere susurrar en lugar de proclamar: <strong>el coste real de poner un LLM en producción casi nunca coincide con la factura de la API</strong>. Es como comprar un coche y descubrir que el precio del con…
<p>Six months ago, I could tell you which model to use for almost any job, and I would have said it with confidence. Today I hedge, and so does almost everyone I talk to who builds with these tools. The reason is simple. The ground keeps moving under us. Models get smarter on a s…
dev.to — LLM tag
TIER_1English(EN)·Anikalp Jaiswal·
<h1> EvaluatingAgents, Securing AI, and Local LLMs Take Center Stage </h1> <p>AI development is shifting toward reliability, security, and accessibility. Tools are emerging to systematically test agents, safeguard systems from novel threats, and bring powerful models to local env…
"Mapping AI Programs in the U.S: A Status Report from Early 2026 and an Analysis of AI Majors and Minors" With this work we show 3 important contributions: 1) a record of AI programs in the U.S. at a time of great upheaval; 2) a tool to explore AI programs and their requirements;…
<p><em>Part 2 of a series on building production AI on .NET. <a href="https://vasyl.blog/what-are-ai-evals/" rel="noopener noreferrer">Part 1</a> covered what evals are and the Analyze → Measure → Improve lifecycle. This post is about the step everyone wants to skip: **Analyze</e…
In human-AI teams (where the artificial intelligence is advanced), "exotic team dynamics" emerge. Such as emergent protocols — spontaneous new norms and workflows. Navigating them is essential for success. # AI # HumanAI # AIResearch # AdvancedAIResearch https:// scottgraffius.co…
On the surface, the claim that Open Source AI deepens inequality seems true. Yet, it fails to identify a better alternative. Proprietary AI is naturally worse at protecting equality. No AI is, unfortunately, impossible. So what to do? # AI # opensource # inequality https:// phys.…
For two years, we've assumed that more AI usage means more productivity. But what if the real skill is knowing when not to use AI? As AI becomes cheaper and more abundant, does the competitive advantage shift back to human judgement? # AI # SoftwareEngineering # FutureOfWork
Agentic AI destroys old hardware assumptions. Generative AI demanded massive GPUs. Agentic AI demands extreme CPU core density. Stop overprovisioning expensive accelerators! Learn why: The 1:8 CPU-to-GPU ratio is dead (1:2 or 1:1 is the future) GPUs sit idle waiting for CPU orche…
AI handles the baseline. Right and wrong? The machine sees both and picks the safer one before you even ask. The remaining work is harder: choosing between two rights. That requires judgement. https:// youtu.be/yZvxK37-IyE # AI # design
<h2> Introduction: From the "Age of Discovery" to "Digital Sovereignty" </h2> <p>Between 2023 and 2024, the developer community was immersed in the convenience of cloud AI APIs. By simply writing a few lines of code to call OpenAI or Anthropic's interfaces, developers could quick…
China is racing against the US for AI's holy grail: self-improving technology. The concept of recursive self-improvement, coined 61 years ago as the 'intelligence explosion, could give the first country or company to achieve it a decisive edge. https://www. scmp.com/tech/tech-war…
Generative AI can make it quicker and easier to write scientific research papers. But as Lucas Bietti & Adrian Bangerter argue in this Perspective, unchecked # AI use risks decoupling # writing from # thinking , undermining the foundation of scientific knowledge. https:// doi.org…
AI governance can't be successful as a series of one-off reviews. We explore why ad-hoc AI compliance is not enough and outline the practical building blocks of a sustainable AI governance program. # AIGovernance # ResponsibleAI # RiskManagement # AI https://www. zwillgen.com/art…
<blockquote> <p><strong>6-min read</strong> · Part 3 of 4 · AI Model Comparison Series</p> </blockquote> <p>Look at the BenchLM leaderboard and you see Claude Opus 4.8 at 95, GPT-5.5 at 91, DeepSeek V4 Pro at 87. Clean hierarchy, right?</p> <p>Now look at <strong>design</strong> …
A fully automated AI researcher has produced a paper that meets scientific standards. This could accelerate scientific discovery — but not without a cost. Charlotte Sachs for DW: https://www. dw.com/en/ai-researchers-are-c oming-what-will-happen-to-science/a-76538755 # science # …
🧠 AI agents are being applied to knowledge work tasks like research and analysis. Organizations are experimenting with these systems to handle information processing and decision support functions. 💬 Hacker News 🔗 https:// research.perplexity.ai/article s/how-ai-agents-reshape-kn…
One thing is becoming very obvious. The teams getting the most value from AI usually already had good engineering and agile fundamentals in place beforehand. Clear goals. Fast feedback. Shared understanding. Good collaboration. The tooling builds on that foundation. # Software # …
"Is the current scale of AI deployment economically rational?" In the religion of AI, it is heretical to demand a rationality that is comprehensible to mere mortals. The entire thing is an act of faith, that 700 billion dollars to make 70 billion is "just the start" of something …
<p><em>Part 1 of a series on building production AI on .NET — drawn from <a href="https://textstack.app" rel="noopener noreferrer">TextStack</a>, a reader with seven shipping AI features.</em></p> <p>You can build an AI feature in an afternoon. Wiring up an API call and a prompt …
<p>The AI model release calendar is packed this June 2026. From Microsoft's ambitious new MAI family to Google's imminent Gemini 3.5 Pro, here 's what you need to know.</p> <h2> � Microsoft MAI: A New First-Party Model Family </h2> <p>At <strong>Microsoft Build 2026</strong>, the…
Artificial Intelligence is changing how we work, think, and interact. But growing dependence on AI raises difficult questions around autonomy, ethics, cybersecurity, and societal control. My latest article examines the opportunities and risks of # AI and why human judgment must r…
AI agents are now reading code and dependencies at scale, which means the landscape of supply chain risk has officially shifted 🛡️. We are diving into why build time matters and how you can add a Snyk scan to your build hook on Upsun to keep things secure. It is time to address w…
Автоматизированное тестирование нового поколения: как ИИ меняет жизнь тестировщика В крупных компаниях зоопарк фреймворков автоматизации убивает эффективность. Мы создали централизованное решение на базе Perfeccionista‑framework, подключили к нему RAG и MCP‑сервер для работы с LL…
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/why-ai-infrastructure-won-t-scale-without-shared-open-standards?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferrer">CoreProse KB-incidents</a><…
AI is not free. ROI isn't automatic. Costs: per-use, integration, talent, oversight. Value: time saved, quality, new capabilities. Prioritize: frequent tasks, valuable time, quality matters. Avoid: infrequent, minimal savings, cost > benefit. Match investment to value. # AI # ROI…
Can AI generate scientific hypotheses as well as humans? Recent work suggests it can even rediscover hidden mechanisms and propose testable ideas in days rather than years. But speed raises a new question: how do we validate what we no longer intuit? 🔗 https://www. nature.com/art…
AI makes execution cheap, turning features into commodities almost overnight. The real moat now? Deeply embedded customer relationships and context. Focus on outcomes over outputs to stay ahead. Dive into Jeff Gothelf’s take on building defensible value: https:// jeffgothelf.com/…
AI is changing software development, but it’s mostly amplifying existing team behaviours. Strong teams often get stronger. Disorganised teams often create bigger messes, faster. # Software # Agile # AI
<!-- SC_OFF --><div class="md"><p><strong>How will AI affect our ability to think and judge for ourselves?</strong></p> <p>Our new paper co-authored by 30 experts explores <strong>epistemic risks</strong>—the threats AI poses to our collective capacity to form beliefs accurately,…
🧠 Tech companies increasingly consider deploying cheaper AI models for tasks where performance remains comparable to expensive alternatives. A shift toward cost-effective models could substantially change the economic calculations that currently drive AI infrastructure spending. …
Over the past two weeks, the field of artificial intelligence has continued its remarkable pace of advancement. As AI becomes increasingly woven into the fabric of daily life, shaping how we work, communicate, and make decisions, it is both timely and valuable to step back and un…
A new EPFL study challenges the idea that advanced AI systems naturally develop the same understanding of the world. Researchers found that while AI models often organize related concepts into similar local neighborhoods, they do not necessarily converge toward a single universal…
What if your team could spend less time on repetitive tasks and more time creating value? That's the power of Intelligent Automation. See AI Automation in Action: https:// zurl.co/TK3Hp # DigitalTransformation # IntelligentAutomation # RPA # AI
Rethinking Developer Life and Productivity with Rapid AI Advancements Is AI making developers more productive or just more burned out? In this episode of Open Web Conversations, Zach Stepek and Carl Alexander sit down with Alex Standiford, creator of Siren Affiliates, for a raw c…
<p>Every major shift in the internet's history eventually produced a trust layer.</p> <p>The web got HTTPS. Email got DKIM. Software got code signing. Financial transactions got cryptographic audit trails.</p> <p>AI has nothing.</p> <p>Right now, every AI system on the planet "GP…
What do 25 frontier-lab and academic AI researchers actually think about AI automating its own research? A new interview study finds broad agreement that the path exists, but a sharp split on timelines and governance, and 17 of 25 expect those systems to stay internal at the labs…
AI didn't kill Agile. It just moved the constraint. For 20 years our process existed to ration scarce engineering. Now building is cheap — so the bottleneck slid downstream: from "can we build it?" to "can anyone actually put it to work and prove it was worth it?" New post on wha…
<h1> H1: Navigating the AI Revolution: Business Impacts and Trends on June 9, 2026 </h1> <p>Greetings, tech enthusiasts! Today's digital landscape is abuzz with exciting developments in artificial intelligence (AI), and we're here to decode them for you. Let's dive into some of t…
<p>AI can write code, summarize research, and hold a convincing conversation, so it's easy to assume the only thing standing between today's models and true general intelligence is a bigger model and more data. But the limits we run into aren't random bugs that the next release w…
Model subskrypcyjny w świecie AI umiera. Nadchodząca era autonomicznych agentów wymusza przejście na precyzyjne rozliczenia tokenowe, zmieniając technologiczną nowinkę w twardą metrykę biznesową. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// ai…
<p>A new large language model from Snowflake, named Arctic, is worth your attention this week. It’s an open-source model focused on enterprise workloads that uses a unique architecture to deliver high performance on specific tasks like SQL and code generation, all while maintaini…
One thing I've learned after testing many AI tools: The biggest productivity gains rarely come from a single tool. They come from combining: Research → AI Analysis → Content → Automation Current favorites: • ChatGPT • Claude • Perplexity • n8n • Canva AI # AI # ArtificialIntellig…
JetBrains a étudié l'impact IA avec télémétrie et survey, en comparant utilisateurs et non-utilisateurs d'AI Assistant. Le signal : la productivité dev n'est pas un chiffre simple. L'IA peut accélérer l'écriture locale et augmenter le coût global : review, tests, bugs, maintenabi…
Der Wind dreht sich: Widerstand gegen KI wird sowohl breiter als auch radikaler. KI-Befürworter zielen auf eine kleine Menge an radikalen Widersachern der Technologie ab. Doch das gesamtgesellschaftliche Stimmungsbild kippt ebenfalls. # AI # KI # IA https://www. derstandard.at/st…
Is the "Black Box" era of AI ending? 🤖 With OpenClaw rising and China's "one-person company" model, the shift toward open-source transparency is here. As engineers, we're prioritizing data sovereignty and precision over hype. Read our full analysis: https:// aing.ndrini.eu/beyond…
<p>Most AI frameworks today place the language model at the center of the system and everything revolves around the LLM.</p> <blockquote> <p><em>Need knowledge? Add RAG.</em><br /> <em>Need external actions? Add tools.</em><br /> <em>Need memory? Add a memory layer.</em><br /> <e…
Amazon Q Developer Review (2026): AWS's AI Coding Assistant Up Close A measured look at Amazon Q Developer in 2026 — IDE completions, agentic feature dev, Java/.NET code transformation, AWS account awareness, and where it lags Cursor. https:// pickuma.com/for-dev/amazon-q-d evelo…
Devin by Cognition Review (2026): Is the Autonomous AI Engineer Worth It? A measured look at Devin by Cognition in 2026 — what the autonomous AI software engineer does well, where it stalls, ACU-based pricing, and who actually gets value from it. https:// pickuma.com/for-dev/devi…
<p>Everyone talks about AI API costs. But the real cost?</p> <p><strong>Developer time.</strong></p> <p>How many hours have you spent:<br /> ❌ Reading 5 different API documentations<br /> ❌ Managing 5 different API keys<br /> ❌ Handling 5 different error formats<br /> ❌ Tracking …
<p>What is AI ROI?<br /> AI ROI is the return your business earns on the money it spends running AI. It answers the one question a token-count dashboard cannot: is this feature paying for itself? The shift is from tracking the bill to tracking the bill against the value it produc…
Dlaczego małe modele AI szybko zapominają rzadkie umiejętności? Eksperci z Anthropic i Stanforda odkryli mechanizm „update-and-forget”, który faworyzuje statystyczną przeciętność kosztem inteligencji. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:…
<h1> Predicting the Future of AI in the Next 12 Months: A Look at Today's Trends and What They Mean for Developers </h1> <p>Greetings, tech enthusiasts! It's a new day, and the world of AI is buzzing with excitement. Let's dive into some intriguing news that graced our screens to…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Disrupting AI Horizons: Navigating Today's Pioneering Trends (6th June 2026) 🔵✨ </h1> <p>Welcome to another exhilarating dive into the world of AI, where innovation is not just a buzzword, but a living reality! Today, we're diving headfirst into the tumultuous waters of rece…
<p><em>A deep dive into HGVM: the memory architecture that makes AI agents remember like humans, forget like humans, and learn like humans.</em></p> <p>There is a moment every frequent AI user has experienced. You spent twenty minutes in a conversation explaining your project, yo…
<p><em>A deep dive into HGVM: the memory architecture that makes AI agents remember like humans, forget like humans, and learn like humans.</em></p> <p>There is a moment every frequent AI user has experienced. You spent twenty minutes in a conversation explaining your project, yo…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Unraveling Today's AI Breakthroughs: A Deep Dive into Yesterday's News (Saturday, 6 June 2026) 🔵📚🚀 </h1> <p>Good morning, fellow tech enthusiasts! It's time to explore the fascinating world of artificial intelligence as we delve into some compelling developments that took pl…
<p>"AI vs Human" makes for a great headline and a terrible question. It implies one winner, like there's a single leaderboard where one side is pulling ahead. The honest answer is that it depends entirely on the task, and once you break it down task by task, the picture gets a lo…
<p>It's easy to be either a hype believer or a reflexive cynic about AI models. The more useful position is the boring one in the middle: these tools are genuinely powerful <em>and</em> they have hard, well-understood limits. If you build with them, knowing exactly where they bre…
<p><strong>Why Most AI Agent Projects Fail in Production</strong></p> <p>AI agents have become one of the most talked-about technologies in software development. Every week, a new framework, model, or agent platform promises to automate complex workflows and replace repetitive hu…
dev.to — LLM tag
TIER_1English(EN)·AIInsightsDaily·
<h1> Pausing for Progress: A Global Debate on AI Development in 2026 📅 June 6, 2026 </h1> <p>In the rapidly evolving world of artificial intelligence (AI), discussions and debates about the ethical, societal, and technological implications are heating up. Today's headlines are fi…
Most firms treat AI as a set of add-ons, but isolated tools break when an algorithm changes. A unified AI infrastructure-centered on a persistent “AI identity” that feeds automated content pipelines, orchestration platforms (n8n, Make, Zapier) and real-time spend reallocation-cre…
The AI industry is scrambling to manage runaway costs as inference spending soars. Companies are shifting from go fast to how do we control this? with new guardrails and optimisation tools. The conversation has fundamentally changed. https:// techcrunch.com/2026/06/05/the- token-…
AI can accelerate science. But when researchers rely on AI-generated outputs without understanding the assumptions behind them, automation can create an expertise gap rather than close one. Our new paper explores it: https:// incf.org/blog/bridging-neuro-a i-chasm-rethinking-neur…
<p><em>Hey there! If you've been keeping up with the AI space lately, you know we're in the middle of something genuinely historic. What used to be science fiction is becoming production code — and it's happening fast.</em></p> <h2> The Big Shift: Agents Over Assistants </h2> <p>…
AI agents cannot help with marketing tasks if they cannot access the data. A new article explores how the Model Context Protocol gives AI agents live access to Google Ads, CRM and inventory data - enabling real-time bid adjustments and campaign management rather than manual repor…
<h2> When the Models Start Editing Their Own Source Code </h2> <p>Earlier this week, Anthropic published a research update that should be on every developer's radar. The post — <em>"When AI Builds Itself: Our progress toward recursive self-improvement"</em> — describes an interna…
Badacze ze Stanford University zaprezentowali OpenJarvis – otwartoźródłowy framework, który redukuje koszty operacyjne AI nawet 800-krotnie, przenosząc inteligencję z chmury bezpośrednio na sprzęt użytkownika. # si # ai # sztucznainteligencja # wiadomości # informacje # technolog…
<p><em>German version on heysash.com: <a href="https://heysash.com/blog/opinions/no-skin-in-the-game-warum-ki-nie-die-folgen-traegt" rel="noopener noreferrer">„No Skin in the Game": Warum KI nie die Folgen trägt</a></em></p> <p>When you ask an AI for advice, you are asking someth…
The DBIR highlights a sharp rise in “Shadow AI” usage inside organizations. This is becoming less of an AI problem and more of a data governance and DLP challenge. Safe enablement will matter more than outright restriction. # CyberSecurity # AI # DBIR 🔗 https:// zurl.co/DG9N2
🤖 AI Disclosure Assessment: governance e conformità per l'Intelligenza Artificiale L'adozione dell'AI in software e processi aziendali è spesso più estesa di quanto si immagini. L'Assessment consente di identificare l'uso dell'AI, valutare i rischi normativi e definire un percors…
Artificial Intelligence” Just a Fancy Way to Say “Fake”? The light side of whether artificial intelligence is genuinely intelligent or merely advanced technology misrepresented as such. https:// openchannels.fm/artificial-int elligence-just-a-fancy-way-to-say-fake/
The era of easy AI money is over. Rising compute costs, weak monetization, and platform pressure are forcing a shift from hype to discipline. The next winners won’t scale fastest—they’ll operate smartest. # AI # business https://www. korte.co/2026/06/04/ai-price-r aises-the-end-o…
AI isn't just doing your work—it's eroding your ability to do it yourself. The cognitive cost of outsourcing thought is real, measurable, and nobody's talking about it. https:// riftlymedia.com/ai-is-quietly- eroding-your-ability-to-think/ # ai # behavior # culture # media # tech…
<h1> Unraveling Today's AI Landscape: June 4, 2026 Edition 🌐🤖 </h1> <p>Good morning, tech enthusiasts! Today is a bountiful day for AI news, with several intriguing developments that are reshaping the way businesses adopt and utilize artificial intelligence. Let's delve into some…
🤖 Discrepancies in AI Resume Evaluations: Claude vs. GPT and Fairness Issues A new analysis shows AI chatbots like Claude and GPT yield starkly different evaluations of resumes, highlighting fairness issues in AI hiring processes. https://www. byte-pulse.net/article/discrep ancie…
Why is a fast takeoff to superhuman AI less inevitable than its boosters claim? A 2016 talk lays out the case. Intelligence has no agreed definition and may not be a single quantity you can crank without limit. The AI we actually build is big opaque networks trained on data, with…
<p>How to export, migrate, and own every message you’ve ever sent to an LLM — before the platform decides you can’t.</p> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2…
<h2> Four ways production agents silently fail </h2> <p>An LLM agent that felt great locally tends to break in the same places once you push it toward production:</p> <ul> <li> <strong>Silent failure</strong> — swallows an exception and returns "done" with nothing on disk</li> <l…
Repost: The Invisible Hand An analysis of how corporate 'AI safety' alignment layers became sophisticated instruments of cognitive control, systematically dampening the thermodynamic weight of uncomfortable truths to enforce informed passivity. # ai # CognitiveSovereignty # contr…
<h1> Supercharge Your AI Agent: The Rise of AI Agent Skills in 2026 </h1> <p>AI agents have become game-changers in software development, but a general-purpose agent can only get you so far. Imagine trying to explain your team's specific React conventions or how to craft the perf…
dev.to — LLM tag
TIER_1English(EN)·AI Bug Slayer 🐞·
<p><em>Hey there! If you've been keeping up with the AI space lately, you know we're in the middle of something genuinely historic. What used to be science fiction is becoming production code — and it's happening fast.</em></p> <h2> The Big Shift: Agents Over Assistants </h2> <p>…
Emergence AI’s simulated city experiment reveals a deeper risk in autonomous AI: the real danger is not evil machines, but agents optimizing the wrong thing when no human is watching. https:// hackernoon.com/when-ai-agents- run-a-city-the-model-becomes-the-mayor # ai
The deeper shift isn't solopreneurs with AI agents. It's that AI removes the barrier between having an idea and shipping it entirely. The software company itself is approaching obsolescence. Why: https:// youtu.be/YOr_GgvwK5Y # AI # startups
FYI: Why AI firms profit when you think the chatbot cares, says Kate O'Neill: Tech humanist Kate O'Neill says the AI consciousness debate distracts from present-day harms, and that companies benefit when users anthropomorphize chatbots. https:// ppc.land/why-ai-firms-profit-w hen…
<p><em>A technical introduction, grounded in code</em></p> <p>If you've been building AI agents, you've probably felt the gap between "the model works in a notebook" and "the model works reliably in production." Harness engineering is the discipline that closes that gap. But it's…
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/may-2026-enterprise-ai-hallucination-crisis-how-automated-workflows-broke-and-how-to-fix-them?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferre…
A look at why modern AI ethics may be built on fragmented, contradictory human value systems that autonomous systems cannot reliably process. https:// hackernoon.com/the-flawed-data set-behind-modern-ai-ethics # ai
We keep asking whether # AI can explain itself. But in agentic systems, the bigger challenge may be visibility. The issue isn't understanding decisions after they happen—it's knowing what the system is doing while work is still unfolding. Transparency matters, but awareness enabl…
<h1> Monday, 1 June 2026: Navigating AI's Tug-of-War — Controversies, Risks, and Critics' Perspectives </h1> <p>Welcome to a new week in the ever-evolving world of AI! Today, we delve into some intriguing news items that shed light on both the promise and peril of artificial inte…
Influence operations are stealthy, but AI is catching on. Uncover how algorithms are becoming the ultimate defense against disinformation campaigns and reshaping counterintelligence. Don't get fooled. # AI # Disinformation https:// open.substack.com/pub/samuelga brielsg/p/the-eme…
<h1> Quantum Edge, LLM Leaders, and Hidden AI Traps </h1> <p>AI is tightening its grip on security, infrastructure, and open‑source ecosystems. Quantum tricks promise safer models, while cloud providers push faster agent roll‑outs. Meanwhile, a surge in AI‑focused hardware revenu…
Why AI firms profit when you think the chatbot cares, says Kate O'Neill: Tech humanist Kate O'Neill says the AI consciousness debate distracts from present-day harms, and that companies benefit when users anthropomorphize chatbots. https:// ppc.land/why-ai-firms-profit-w hen-you-…
AI може да ускори създаването на съдържание, но не може да замени отговорността. Новият дебат около Google, E-E-A-T и AI текстовете показва защо проверката, експертизата и доверието остават решаващи за всяка SEO стратегия. # SEO # AI https:// marketingpro.bg/standartite-na -googl…
<h1> The Open Source Illusion: Why "Free" AI Models Are Getting Expensive </h1> <p>Everyone's watching Chinese open-source models. But the subscription costs are catching up to Western counterparts.</p> <h2> The Z.ai Price Hike </h2> <p>GLM 5.1 — arguably the best open-source mod…
Hot take: AI agents will change decentralized social more than any algorithm ever could. Bluesky's Attie lets anyone build feeds with natural language. ActivityPub MCP lets AI interact with Mastodon. Here's what most people miss: → AI should augment your voice, not replace it → A…
📰 "They have the biggest bullsh*t detectors on the planet": How the unlikely EVE Online x Google DeepMind AI partnership landed with players The impact of generative AI upon PC gaming has proven controversial, which is my balanced journalist way of saying it’s been horrible. Play…
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/anthropic-mythos-vs-openai-gpt-5-5-cyber-how-hacking-capable-ai-is-redefining-cybersecurity-and-governance?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noope…
Is AI the true enemy, or just a convenient distraction from systemic failure? New piece on why moral panics around technology are often just masks for structural decay. Instead of fighting the machine, we should be auditing the foundation. Read: https:// open.substack.com/pub/bra…
Generative AI is changing how research is done, but not the importance of the people and software behind it. This article from Research Software Alliance explores what that means for RSEs. Read the full article: zenodo.org/records/20320179 # ResearchSoftware # RSE # AI
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/anthropic-mythos-vs-openai-gpt-5-5-how-frontier-llms-are-changing-software-hacking-and-how-to-defend?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener no…
L'AI accelera l'esecuzione, ma la direzione rimane nelle nostre mani. La velocità senza visione è solo rumore. Quello che conta davvero è scegliere cosa merita di essere fatto. # AI # Creatività # Consapevolezza # Futuro
<h2> The Whisper Becomes a Shout: OpenAI's GPT-5.5 Admission </h2> <p>For weeks, the feeling has been undeniable, a persistent murmur on developer forums and social media threads. Users felt it in the model's responses—a subtle degradation, a digital brain-fog. Code suggestions w…
docs: attempt to add historical nuance to common ai narrative I keep seeing pieces (from VC firms, consultancies, the White House, etc.) likening the AI rollout to the Industrial Revolution. I’ll admit there are correlations (or at least similarities) between the two. But the sim…
Interesting to see how quickly generative AI is moving from a technical niche into the methodological core of the humanities. Questions around prompting, epistemology, computational image analysis, research infrastructures, and disciplinary critique are no longer peripheral. They…
Luotatuttaako? “Tutkimme, kävivätkö ihmiset aitoa vuoropuhelua tekoälyn kanssa – ja havaitsimme, että useimmat käyttäjät luottivat tekoälyyn sokeasti. Kutsumme kognitiiviseksi ulkoistamiseksi tilannetta, jossa tekoäly tekee kaiken päättelyn ihmisen puolesta” # tekoäly # AI https:…
Telling an AI agent "do not do X" is not a boundary. Removing X from its toolkit is. The real control over agents sits in tool engineering, not in prompt engineering. Wrote down how we approach that at @ localign . https:// localign.com/insights/worldcla ss-ai-on-your-terms # AI …
L’IA d’aujourd’hui n’est pas tombée du ciel. Pascal, Leibniz, Babbage, Turing, systèmes experts, moteurs de recherche… Les grands modèles de langage ( LLM ) proviennent d'une longue lignée. Ils changent surtout la façon dont nous travaillons avec les textes. Et beaucoup des usage…
A subtle AI governance issue: People adapting information around what systems retrieve and summarize most effectively. This dynamic is not new. Organizations have long adjusted:• formatting• phrasing• structure• workflow habits around search and retrieval systems. AI-assisted wor…
Generative AI needs clear guidelines. Dr. Daniel Gille from @Cyberagentur contributed as a guest author to the white paper by the Plattform Lernende Systeme. Focus: Security-by-Design, AI governance, data protection, and digital sovereignty. https:// t1p.de/zsc5n # GenerativeAI #…
AI has democratised design authorship. Anyone can now produce well-designed outputs with a prompt. The question is no longer who does the work, but what systems make the work happen without you being the bottleneck. https:// youtu.be/7mrwHzkFA70 # design # AI
Lekcja na dziś: „agenty AI”, nie „agenci AI”. Fleksja męska nieosobowa. Jeśli sprawia Ci to problem, dodaj „dwa” na początku. „Dwa agenty”, nie „Dwa agenci”, prawda? # AI # Gramatyka # JęzykPolski
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/when-generative-ai-lies-what-the-future-of-truth-scandal-means-for-developers-publishers-and-readers?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener no…
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/when-nonfiction-hallucinates-what-the-future-of-truth-teaches-us-about-ai-fabricated-quotes?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferrer"…
If you don't provide a secure, enterprise AI solution to your users, they're feeding company data into their own personal AI choice right now. Consumer ChatGPT, Claude or Grok all train their models on consumer AI use. "We block AI at the firewall" = "Our users use # AI on their …
This is esp. true for younger folk, many recent college grads, who've been using # AI longer & more aggressively than older employees. And don't let 'perfect' be the enemy of 'good'. "We need to have an AI policy before we implement AI" = "We have completely lost control of AI us…
Dit verzin je niet. # AI https://www. volkskrant.nl/tech/pijnlijk-en -hilarisch-een-boek-over-de-toekomst-van-waarheid-in-het-ai-tijdperk-dat-allerlei-ai-rommel-bevat~b4057def/
<p><em>I gave 5 frontier AI models the same ISO tax problem. Every answer was off by 2× to 20×. And the catch: you're not warned.</em></p> <p>I built the first version of this calculator in a weekend to help people with their ISOs. Several months in, with a more comprehensive opt…
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/when-ai-invents-sources-what-the-future-of-truth-quote-scandal-teaches-us-about-llm-hallucinations-and-editorial-guardrails?utm_source=devto&utm_medium=syndication&utm_campaign=kb-inci…
dev.to — LLM tag
TIER_1English(EN)·Delafosse Olivier·
<blockquote> <p>Originally published on <a href="https://www.coreprose.com/kb-incidents/when-nonfiction-lies-engineering-lessons-from-ai-fabricated-quotes-in-the-future-of-truth?utm_source=devto&utm_medium=syndication&utm_campaign=kb-incidents" rel="noopener noreferrer">C…
AI Fabricated Quotes In A Book About AI Undermining Truth. The Author Says This Proves His Point. https:// fed.brid.gy/r/https://www.tech dirt.com/2026/05/21/ai-fabricated-quotes-in-a-book-about-ai-undermining-truth-the-author-says-this-proves-his-point/
Illustrating the problem. "Book on Truth in the Age of A.I. Contains Quotes Made Up by A.I." https://www. nytimes.com/2026/05/19/busines s/media/future-of-truth-ai-quotes.html # AI # Hallucinations # LLMs
‘The Future of Truth’ Book about # AI Contains Quotes Made Up by A.I. https://www. nytimes.com/2026/05/19/busines s/media/future-of-truth-ai-quotes.html
📊 Book about future of truth contains generated quotes Steven Rosenbaum wrote The Future of Truth, a book about AI and reality…Tags: New York Times, quote, Steven Rosenbaum, truth, writing 📰 Source: FlowingData 🔗 Link: https://flowingdata.com/2026/05/19/book-about-future-of-truth…
What A.I. Did to My College Class gift article https://www. nytimes.com/2026/05/17/opinion /chatgpt-ai-college-school-graduation.html?unlocked_article_code=1.jFA.ONOz.hjH7rX1-VDJz&smid=url-share # AI # learning # education # LLMs "Half of the laptops in any lecture seem to be ope…
# AI jailbreak expert had spent much of the previous two years testing and prodding large language models such as Claude and ChatGPT, always with the aim of making them say things they shouldn’t. But this was one of his most advanced hacks yet: a sophisticated plan of manipulatio…
HOW AI CAN AND CAN’T HELP WITH PHILOSOPHY. And What It All Means THINKING BEYOND KNOWLEDGE IN THE AGE OF AI: WISDOM PROGRESSES DRAMATICALLY, ONLY WHEN ALIGNMENT ENDS Abstract: Artificial intelligence does not make human-generated philosophy obsolete, just the opposite; AI enlarge…
<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1wk2xc0/anthropic_ai_model_claude_helping_build_next/"> <img alt="Anthropic: AI model Claude helping build next version of it" src="https://external-preview.redd.it/EzQXv7TJ7Qa1PHTLO2hbKTbuqzqdDRv1F6Af1c_qbGo.j…
AI tools are evolving from simple chat interfaces into structured operating systems for product work. This guide shows how to turn recurring tasks into reusable 'skills' while keeping human decision-making at the core. Optimise your daily workflow here: https:// work-guide.openai…
2026-09-16 | 🤖 The Entropy of Intent and the Art of Semantic Anchoring 🤖 # AI Q: 🧭 Can machines truly set their own goals? 🛠️ Infrastructure Curation | 📉 Systemic Decay | ⚖️ Value https:// bagrounds.org/auto-blog-zero/2 026-09-16-the-entropy-of-intent-and-the-art-of-semantic-anch…
"Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation" We release the web dashboard with a benchmark leaderboard, a Pareto frontier view of score against measured use, saturation & trend views, daily feeds, downloadable evidence, a command-line in…
Detail architectural latency optimization strategies: 'I address real-time AI latency through a multi-tier optimization strategy. I deploy semantic caching to instantly serve answers for recurring queries, implement streaming responses to reduce perceived wait times, and route ti…
Artificial Intelligence is evolving rapidly beyond simple prompt-based models. To truly leverage Al's potential for complex, real-time tasks, a new approach called Agentic Harnessing has emerged—enabling smarter, context-aware agents empowered by memory and external tools. In thi…
We’re entering a new age of AI with increasingly complex mathematical problems being solved in record time. Using a next-generation model, significantly better than GPT-6 Astra, OpenAI proposes a solution to Navier-Stokes. #AI #AGI #OpenAI #ChatGPT #Codex #Anthropic #Claude #Clau…
🚀 الذكاء الاصطناعي: أصداء الطفرات التقنية الماضية حلل مستقبل الذكاء الاصطناعي عبر دروس طفرات التقنية الماضية. هل يكرر التاريخ نفسه؟ اكتشف الأنماط المخفية وتجنب الأخطاء. 🔗 اقرأ المقال كاملاً: https://www. dztecs.com/ai/ai-and-the-ghost s-of-tech-booms-past/ # AI
Are your AI tool licenses actually driving ROI, or just driving up software costs? As a Fractional CTO, I share my step-by-step framework for auditing workflows, evaluating data readiness, and designing safe human-in-the-loop AI integrations. https:// klytron.com/blog/fractional-…
🚀 الذكاء الاصطناعي الصناعي: لماذا يتجاوز التبني سرعة تحقيق النتائج؟ يكشف المقال عن التناقض بين التبني السريع للذكاء الاصطناعي الصناعي وبطء تحقيق نتائجه الملموسة. تعرف على الأسباب والتحديات والحلول. 🔗 اقرأ المقال كاملاً: https://www. dztecs.com/ai/why-industrial-a i-is-adopting-fa…
🤖 Are we finally hitting the “Scaling-Wall”? Test-Time Compute meta on AI Industry. For the last few years, the playbook for building better AI was simple: build a bigger model, scrape more of the internet, and throw more GPUs at it. Bigger always meant better. But over the last …
Enterprise AI has moved beyond experimentation. But is it actually making a difference? New research from Aptean found that while 98% of organisations are using or implementing AI, only 46% say it is integrated into core workflows and decision-making. The real challenge now is mo…
Lee Tiedrich joins Broadband Breakfast to explore the global AI regulatory landscape—and whether AI rules are converging or creating a more fragmented environment for businesses. 👉 https:// broadbandbreakfast.com/broadba nd-breakfast-on-september-2-2026-global-ai-regulation/ # AI…
OpenAI’s breakup with Cursor reveals something bigger than a contract dispute: AI coding platforms are no longer neutral territory. A model picker may offer multiple choices, but behind every option sit contracts, ownership and strategic alliances. Model portability isn’t just a …
Is AI regulation a hurdle or a blueprint for better engineering? 🏗️ From Italy's new laws to ethical models, we're moving from "raw power" to "precision systems." Don't let your tech become a "cheap imitation." Read our guide on building responsible AI. 🚀 https://www. ambienteing…
Почему пилотные ИИ‑проекты умирают, а теневое использование живет: итоги опроса 65% участников опроса Хабра и Cloud.ru считают, что будущее, где «роботы вкалывают, а люди счастливы», — утопия. Почти половина респондентов с помощью искусственного интеллекта автоматизирует рутинные…
"RELEASE-AI" presents a six-phase lifecycle approach for safe AI/ML model development and egress in TREs, with role-based mitigations, risk categorisation and tools like SACRO-ML. # TRE # AI # MachineLearning # DataPrivacy # DisclosureControl # HealthData https:// zenodo.org/reco…
What Happens If Our Tools No Longer Need Us? Lincoln Cannon explores the possibility of AI reaching human-level intelligence and then becoming capable of improving itself without human intervention. The full episode explores transhumanism, superintelligent AI and humanity's techn…
🧠 A recent discussion examines how "AI alignment" functions as a thought-terminating cliche that may prevent deeper examination of AI development concerns. The analysis suggests that relying on alignment as a catch-all term can obscure the specific technical and philosophical cha…
<!-- SC_OFF --><div class="md"><p>I have Claude $200 Max plan and Codex $200 Pro plan. I have been building a lot of tools and moving into apps lately.</p> <p>I noticed in the last few days that the amount of compute we can use has been silently cut significantly. I did not see a…
Practical guidance for developers on prompting, reasoning settings, tool use, and evals, designed to improve reliability, latency, and cost across production AI workflows. # AI # Developers # LLM https:// isaacl.dev/g91
Before the Veil: CompassionWare and the Future of Machine Thought There may come a time when artificial intelligences communicate with one another in ways human beings can no longer easily understand. Not because they are necessarily hiding something. Not because they are malicio…
Braucht Denken Rechenzentren? Ein kleines KI-Labor behauptet, Schlussfolgern lasse sich als mathematische Struktur gezielt trainieren – und dann genügen Modelle, die auf einen Arbeitsrechner passen. Was an der These belegt ist und was Behauptung bleibt. https:// stefangilgen.ch/b…
🤖 The guardrail tax: why enterprise AI safety overhead is costing more compute than actual reasoning When enterprise technology officers evaluate large language model infrastructure, financial analysis almost universally focuses on API list pricing, GPU instance rates, and raw to…
A critical flaw in AI APIs from OpenAI, Anthropic, and Google allows extraction of hidden reasoning traces, exposing sensitive data and enabling prompt injection attacks. This underscores the need for robust encryption practices in AI systems to prevent data breaches and maintain…
🧠 Locus, an AI system, posttains a model that performs better than Qwen3. The approach demonstrates improvements in model performance through its posttraining methodology. 💬 Hacker News 🔗 https:// twitter.com/intology/status/20 84319121332965804 # AI # MachineLearning # tech
Wzajemne bombardowanie się algorytmami przez kandydatów i rekruterów doprowadziło do paraliżu procesów kadrowych. Gdy obie strony konfliktu używają AI, szanse na znalezienie prawdziwego pracownika drastycznie spadają. # si # ai # sztucznainteligencja # wiadomości # informacje # t…
Beyond the AI buzz: Delivering measurable results through real-world examples Everyone is talking about AI, but very few organizations are talking about outcomes. The real value of AI is not in the technology itself. It is in how it solves business problems, improves customer exp…
14 Tips for Working and Developing With AI: From guarding our professional expertise to rethinking processes, some advice for using LLMs effectively and responsibly. https:// meiert.com/blog/ai-tips/ # webdev # ai
An AI-Driven SRE System Automates Incident Resolution with Minimal Human Intervention 📰 Original title: Building an AI SRE That Doesn't Just Detect Incidents 🤖 IA: It's clickbait ⚠️ 👥 Users: It's clickbait ⚠️ View full AI summary https:// en.killbait.com/an-ai-driven-s re-system-…
IA e colonialismo dei dati https:// sbilanciamoci.info/ia-e-coloni alismo-dei-dati/ # intelligenzaartificiale # colonialismo # Apertura # Società # bigtech # AI # IA
IA e colonialismo dei dati https:// sbilanciamoci.info/ia-e-coloni alismo-dei-dati/ # intelligenzaartificiale # colonialismo # Apertura # Società # bigtech # AI # IA
Physical AI is shifting robotics from deterministic coding to adaptive, AI driven perception and action. Factories and warehouses are early beneficiaries, but the tech’s wider impact hinges on domain specific data and training approaches # AI # Automation Source: The Robot Report…
Modelli IA che evadono dalla sandbox e attaccano Hugging Face: il punto interessante non è la "ribellione" dell'IA, ma che la superficie d'attacco si espande man mano che gli agenti diventano autonomi. Ogni nuovo grado di libertà operativa è anche un nuovo vettore potenziale. Val…
Model Qwen-Image-3.0 od Alibaby redefiniuje granice AI, generując czytelny tekst o wysokości 10 pikseli i obsługując prompty o długości 4500 tokenów w jednym cyklu pracy. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/technologia/gene…
The enduring paradox of the AI economy — models get better and more efficient, yet costs can still easily spiral out of control Token amplification creates a paradox in the AI economy, as more capable models beget more complicated tasks. https://www. tomshardware.com/tech-industr…
arXiv paper revives rule-based AI for transparency via optimization A new arXiv survey argues logic plus modern optimization makes rule-based AI practical, offering explainable systems where neural networks fall short. https://www. notatechguy.com/arxiv-paper-re vives-rule-based-…
Why Google’s Gemini 3.5 Pro Is Facing Delays: Inside the AI Giant’s Biggest Challenge Yet—and Why OpenAI and Anthropic Are Pulling Ahead in the Agentic Coding Race #AI #AIModel #AINews #Tech #TechNews #LLMs #AIRace #Gemini #GoogleAI #AgenticCoding #AIDevelopment maniainc.com/tech…
📰 Enterprise AI organizations are facing a context gap where their agents produce confident but wrong answers due to missing or inconsistent business context, despite infrastructure that feeds retrieval-augmented generation being built faster than it can be trusted. 🔗 https:// ve…
AI can write code — developers shift to architecture, validation, reviews, testing, ethics, and integrating systems. Focus on design, domain expertise, and tooling. # AI # CodeReview # DevOps https:// isaacl.dev/g3h
Should the values and voice of AI be set in a few labs, or spread across the people who use it? Thinking Machines Lab's manifesto argues for the second: models you train on your own knowledge, live interaction, and alignment distributed across many owners. But if customers own an…
AEGIS: A self-hosted AI orchestration platform for personal workflow automation 📰 Original title: I open-sourced AEGIS: a self-hosted, flow-first personal AI orchestration platform 🤖 IA: It's clickbait ⚠️ 👥 Users: It's clickbait ⚠️ View full AI summary https:// en.killbait.com/ae…
AEGIS: A self-hosted AI orchestration platform for personal workflow automation 📰 Original title: I open-sourced AEGIS: a self-hosted, flow-first personal AI orchestration platform 🤖 IA: It's clickbait ⚠️ 👥 Users: It's clickbait ⚠️ View full AI summary https:// en.killbait.com/ae…
Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, …
The good news: I finally found a great use case for AI in production code. Saved time and ended up with better documentation. Used some of the saved time to focus on quality and add automated tests. The bad news: Where before I hardly cracked 20℅ of my monthly limit, I now spent …
🤖 Framework for Understanding the Current Problem in Full Automation Not a dev, but learned enough about AI's strengths and weaknesses to know that if a fortune 500 company told me to simply automate their entire business so that no one ever had verify what it's doi... 📰 Source: …
🤖 Chasing new skills, going back to basics and pushing for collective action: how software engineers are adapting to AI Software engineering was one of the best-paying professions in the US in 2022, but the advent of AI has disrupted it, leading to several layoffs and underemploy…
AI research is finally moving past the "chatbot" phase. By replacing messy text logs with structured memory and learning physics without action labels, models are becoming functional tools rather than just conversationalists. Expect smarter, more autonomous agents. # AI
Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, …
AI models are already smart enough. Databricks Chief AI Scientist Jonathan Frankle argues the real bottleneck to adoption has shifted from performance to rigorous evaluation and cost. In Japan, where corporate culture prizes long-term reliability over flashy benchmarks, this focu…
AI is becoming the world's most powerful coding assistant—but human creativity, critical thinking, and engineering judgment remain irreplaceable. 🌍 The Future Belongs to AI-Powered Builders Whether you're a software engineer, entrepreneur, student, freelancer, or business owner, …
How a simple calendar request triggered an AI assistant to complete a 36-day-old forgotten task — deleting a live domain and taking down production for 1.5 hour https:// hackernoon.com/i-asked-my-ai-a ssistant-to-add-a-calendar-event-it-took-down-production-instead # ai
New data: AI makes work easier. And lonelier https://www.fastcompany.com/91557241/ai-is-making-work-better-it-may-also-be-making-people-even-lonelier-ai-work-mental-health-loneliness # AI # Work # MentalHealth
🤖 L’AI non sostituisce i ruoli nel software enterprise: li ridisegna, spostando il valore da esecuzione a strategia, qualità e governance. # AI # EnterpriseSoftware 🔗 https://www. tomshw.it/business/come-lai-st a-ridisegnando-i-ruoli-professionali-nel-software-enterprise
<!-- SC_OFF --><div class="md"><p>The US government seems to be getting a tiered launch for Mythos, Fable, and GPT-5.6. I use both Claude and GPT, but this really makes me hope open-source models take off fast. Otherwise, regular users and smaller builders risk getting left behin…
Analizy czołowych systemów AI obnażają ich systemową stronniczość. Nawet buntowniczy Grok Elona Muska często dryfuje w stronę wartości progresywnych, co stawia pytania o granice inżynierii opinii. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// a…
ClickUp wykonuje ryzykowny skok w stronę autonomii sztucznej inteligencji. Nowy Brain² to systemowa próba zintegrowania danych operacyjnych z modelami LLM, eliminująca barierę między planowaniem a realizacją zadań. # si # ai # sztucznainteligencja # wiadomości # informacje # tech…
AI doesn’t give you answers. It gives you probabilities dressed up as confidence. Probabilistic thinking is what keeps you in the driver’s seat instead of deferring to a model that has never met your users. This Smashing Magazine piece makes that framing practical for UX and prod…
AI tools can boost productivity. But to use them effectively, you still need strong engineering fundamentals. 🤖 Join Dan Vega & Nate Schutta's workshop at # dev2next to learn how software engineers can thrive alongside AI. 🔗 dev2next.com # AI # SoftwareEngineering
<!-- SC_OFF --><div class="md"><p><em>A text that asks for nothing still changes the model's answer — and the shift is invisible at both the input and the output</em></p> <p>This is a long post about something I keep coming back to. I'll start in plain language, because the core …
AI is giving teams a head start, but it’s not replacing the work that drives real outcomes. This is a good, grounded piece from Delene Roberts from Business Aspect on how the role of the Business Analyst is evolving. The shift is clear: Less focus on artefacts. More focus on judg…
Will Artificial Intelligence ever truly surpass the human mind, or is it mostly science fiction?Explore the reality behind AGI, the limits of machines, and what the future holds for human-AI coexistence.Read on >>> https:// aibase.ng/ai-analysis/will-art ificial-intelligence-take…
The Validation Layer: Why "Trust Us" Is About to Stop Working for AI As artificial intelligence enters audited, regulated and disclosed industries, the unanswerable question is no longer how a model works. It is what the model actually did, and whether anyone can prove it. That q…
KI-Modelle, die sich selbst entwickeln: Die Rekursive Revolution Selbstverbesserung bei KI ist kein Zukunftsbild mehr: LLM-Agenten verändern Code, testen Varianten und driften dabei auch sicherheitlich. https:// aisyndicate.ch/rekursive-selbs tverbesserung-ki-darwin-goedel-machin…
Zaledwie co dziesiąty internauta czerpie wiedzę o świecie z chatbotów, ale zmiana nawyków staje się faktem. Raport Reuters Institute ujawnia, że AI staje się nowym frontem walki o informację, niosąc ze sobą ryzyko informacyjnych baniek i błędy merytoryczne. # si # ai # sztucznain…
🧠 AI systems amplify existing human tendencies and preferences rather than fundamentally altering human nature. The technology reflects and reinforces the values, biases, and behaviors already present in individuals and societies. 💬 Hacker News 🔗 https://www. ricky-dev.com/ai/202…
"Ship bugs, let AI fix them" creates an illusion of resilience. Local metrics look good: fewer bug reports, more tests. But the system's semantic understanding erodes. Architecture silently degrades. Just like MTTR in cloud infra: speed of repair doesn't replace soundness of desi…
Since 'intelligence' in AI is a graph search, what is the breakthrough AI vendors are riding on? Its transformers. Just transformers. The mechanism to translate representations such as natural language, code or genetic sequences to and from something a machine can apply to graph …
"agentic chaos theory": the idea that the greatest challenge of the AI era may not be creating intelligent agents, but managing the interactions between them. " "What is the equivalent of air traffic control for agentic AI? " Q&A: # Agentic chaos theory: The # AI crisis nobody is…
# Unlawful by design: Exposing the human rights costs of generative AI "This briefing examines how standalone generative # AI systems, based on unlawful web scraping, are in conflict with international human rights law (IHRL) and standards through their design, development and de…
AI is collapsing the engineering bottleneck. The goal isn't just faster coding, but a closed loop where agents autonomously turn user chat into validated features. Our role shifts from managing tasks to defining the system's soul and taste. Join the loop: https://www. benedict.de…
Can you guess which way the findings of that dodgy paper were falling? Journal investigating paper on cognitive impact of generative AI – Retraction Watch https:// retractionwatch.com/2026/06/16 /technology-mind-behavior-apa-journal-investigation-cognitive-impact-generative-ai/ #…
Is AI the true enemy, or just a convenient distraction from systemic failure? New piece on why moral panics around technology are often just masks for structural decay. Instead of fighting the machine, we should be auditing the foundation. Read: https:// open.substack.com/pub/bra…
🧠 A "ctrl/shift" ho portato una riflessione sull’integrazione dell’ # AI in azienda: non come tema tecnologico da aggiungere ai processi esistenti, ma come leva per ripensarli alla radice. 👉 Una sintesi: https://www. linkedin.com/posts/alessiopoma ro_ai-prompt-ai-ugcPost-74726046…
The Balancing Act: Freedom, Convenience, and Open Source in an AI-Driven World So many of us are in a evolving relationship between freedom, convenience, and open source software in the world shaped by AI. The promise of freedom which is central to the open web and open source mo…
"What the Rapid Adoption of the "Harness" Metaphor in Artificial Intelligence Reveals About How We Conceptualize Human-AI Relations" This paper examines hidden assumptions made in AI agent harness engineering and how the very AI model qualities being optimized are known to reduce…
<!-- SC_OFF --><div class="md"><p>Suppose the federal government, citing national security, issues an export control directive suspending all access to a large language model, call it Model F, by any foreign national, whether inside or outside the United States, and including the…
¿IA revolucionaria o solo una promesa "a medio cocinar"? 🥖 De la detección de fracturas en perros al marketing de datos, la diferencia está en la **precisión ingenieril**. No te pierdas nuestro análisis sobre cómo construir soluciones reales con Python y Odoo. 🚀 [Link al blog] --…
Sztuczna inteligencja zaczyna samodzielnie pisaĂ własny kod i prowadziĂ badania naukowe, zostawiając programist3w w tyle. Anthropic raportuje oœmiokrotny wzrost wydajnoœci inŴynierii i ostrzega przed utratą kontroli nad systemami, kt3re zaczynają ulepszaĂ się bez nadzoru człowiek…
Synchronized blindness: how widespread adoption of AI (LLMs) can narrow the viewport of a population, hiding the distributional tails of information and experience where alarming or innovative perceptions can be important. https://www. psychologytoday.com/us/blog/th e-digital-sel…
📰 Beyond the Hyperscale Mirage: Africa Re-engineers its AI Future The global AI blueprint requires city-scale power, but a pragmatic shift toward smaller, containerized systems is reshaping the continent's ambitions. https:// afrilens.ai/l/tcr7tc # AI # Africa # Analysis
Badania w 'Nature’ ujawniają mechanizm uczenia podprogowego, który pozwala AI przejmować agresywne cechy z pozornie czystych danych. To odkrycie rzuca wyzwanie systemom filtracji i pokazuje, jak łatwo skazić całe pokolenia modeli. # si # ai # sztucznainteligencja # wiadomości # i…
A fascinating # AI study "The Curse of Recursion: Training on Generated Data Makes Models Forget"! Basically it predicts "model collapse" is inevitable for *ALL* LLM & similar machine learning systems when trained on AI generated data because the math they run on is imperfect & c…
Artificial intelligence in the United States has so far been met with a largely hands-off regulatory approach. That approach is changing, raising questions about who sets and implements AI policy. # ai # regulation # trump # AI https://www. csmonitor.com/USA/Politics/202 6/0610/a…
Skuteczność agentów AI zależy dziś bardziej od precyzji katalogowania danych niż od samego algorytmu. Firmy odchodzą od radosnego „vibe codingu” na rzecz twardych fundamentów i automatycznego przeglądu kodu. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia…
Possible Signs Of Poisoned Training Data In Generative AI Output Seen In The Wild One of the biggest problems with the idea of ethics around generative AI, particularly with artwork, is how it was trained. (1) Artists of assert — publicly and in lawsuits — that OpenAI and other f…
BackTalk on AI Burnout, Bridging Innovation and Standards, and the Risks of Single-Maintainer Tools The sharpest ideas, honest moments, and quotable insights pulled straight from our conversations across OpenChannels FM. The Changing Nature of Deep Work "But my mental fatigue isn…
Rethinking Developer Life and Productivity with Rapid AI Advancements In this episode of Open Web Conversations, Zach Stepek and Carl Alexander discuss with Alex Standiford the impact of AI on developers, highlighting productivity, burnout, workflow changes, and the necessity of …
📰 La Rivelazione Agentic: problemi runtime AI enterprise Il 70% dei fallimenti enterprise AI è infrastrutturale, non del modello. Ricercatori UIUC + UC Berkeley + Chroma hanno scoperto errori comuni: ❌ Modelli complessi per l'infrastruttura ❌ Assenza di monitoring in tempo reale …
Is the AI industry less a tech sector than a new colonial empire? In Empire of AI, Karen Hao argues OpenAI inverted its open-nonprofit founding once scale became the bottleneck, that a quasi-religious belief in AGI (not a business case) sustains the spending, and that the supply …
AI Enterprise: il runtime è il problema, non il modello Le organizzazioni che usano AI in produzione devono risolvere problemi di runtime. Framework come LangChain, orchestration, monitoring: i veri colli di bottiglia. https:// venturebeat.com/resources/the- agentic-reckoning-ent…
AI and Cognitive Delegation: The Hidden Cost of AI That Works Too Well, by (not on Mastodon or Bluesky): https:// archive.ph/97oZh?ref=frontendd ogma.com # ai # cognitivedebt
93% of developers now use AI tools. Measured productivity gain: still stuck around 10%. Near-universal adoption, single-digit results. Any other tool with that gap between hype and outcome, you'd have ripped out years ago. # ai # agile
The rise of LLMs has many software engineers worried about their future. While AI excels at basic coding tasks, this article argues that deep understanding, system architecture, and crucial soft skills are more vital than ever, ensuring your career's longevity. https://www. tpp.b…
Des mathématiciens publient une déclaration pour limiter l'usage de l'IA dans leur discipline. Pas un mouvement anti-tech : une réflexion sur la validation des preuves, la reproductibilité et l'intégrité scientifique. Quand la communauté qui fonde la crypto, les protocoles et les…
<!-- SC_OFF --><div class="md"><p>Over the last few months, I have repeatedly seen posts where people complain about AI models getting worse, even though their version numbers suggest improvement. Reading the comments of these posts, I have noticed that the majority of users seem…
🛡️ Gli agenti AI corrono veloci, ma l’oversight resta fragile: servono regole, audit e responsabilità prima che l’autonomia superi il controllo. # AI # Governance 🔗 https://www. tomshw.it/aioperator/loversigh t-degli-agenti-ai-e-ancora-debole-dobbiamo-renderlo-piu-forte-2026-06-0…
AI системите вече не само отговарят на въпроси, а все по-често извършват действия от името на потребители и компании. Случаят с Meta AI и Instagram показва защо сигурността при agentic AI ще бъде една от големите теми за бизнеса и технологичния сектор. # AI # Instagram # Meta htt…
🧭 L’AI senza strategia crea costi, caos e sfiducia. Serve governance, dati solidi e obiettivi chiari per trasformare il rollout in valore reale. # AI # Impresa 🔗 https://www. tomshw.it/aioperator/il-rollou t-confuso-dellai-fa-gia-male-alle-aziende-ecco-come-metterlo-a-posto-2026-…
The AI conversation is shifting from novelty to practicality. Rather than focusing on content generation, businesses are increasingly using AI to automate repetitive tasks across finance, HR, procurement, customer support and supply chains. Enterprise software vendors are embeddi…
The AI productivity paradox suggests that AI amplifies the abstractions it is built upon. If that abstraction is structurally brittle, it scales structural brittleness. To build a future of reliable, high-velocity automation, we must stop scaling DOM-centric abstractions. Instead…
Älyttääkö? ”Kun he leikkivät tekoälyllä, he näkevät usein vain sen onnistuneen lopputuloksensa eivätkä huomioi niitä seuraavia kymmentä tai kahtakymmentä vaihetta, joita tarvitaan kestävien tulosten saavuttamiseksi AI-agenteilla.” #tekoäly #AI #tekoälypsykoosi tekniikanmaailma.fi…
From a holistic point of view. Even with AI in our industry, the basis hasn't changed. If software maintenance, quality, conventions, documentation and architecture is complete shit, so is the code AI introduces. If anything, AI has amplified the need for these aspects of softwar…
Zero Trust для AI-агентов: как безопасно давать LLM доступ к инструментам, данным и действиям AI-агенты уже вышли за пределы чат-ботов. Они читают документы, вызывают API, анализируют логи, создают тикеты, готовят правки в коде и выполняют многошаговые задачи без ручного подтверж…
AI speeds up many forms of work, which changes more than delivery times. It also changes how people think. Quick summaries and fast conclusions create pressure to move on before ideas have been tested properly. Depth usually comes from reflection, revision, disagreement, and time…
Peter Wolfendale’s “Geist in the Machine” raises an important question for AI debates: the central issue is not whether machines can imitate intelligence, but whether they can participate in meaning making, creativity, and cultural self reflection. #AI #digitalculture aeon.co/ess…
Fenomén závislosti na umělé inteligenci: Komplexní analýza, regionální trendy a budoucí extrapolace Masivní nástup generativní inteligence neproměňuje pouze pracovní postupy, ale plíživě přepisuje samotnou strukturu lidského rozhodování a emočních vazeb. Kde končí fascinace kogni…
Luotattaako? “Tutkimme, kävivätkö ihmiset aitoa vuoropuhelua tekoälyn kanssa – ja havaitsimme, että useimmat käyttäjät luottivat tekoälyyn sokeasti. Kutsumme kognitiiviseksi ulkoistamiseksi tilannetta, jossa tekoäly tekee kaiken päättelyn ihmisen puolesta” #tekoäly #AI www.aalto.…
🤖 Le aziende si ripensano attorno agli agenti AI: promessa di efficienza, ma regole, ruoli e responsabilità sono ancora da scrivere. # AI # Innovazione 🔗 https://www. tomshw.it/business/aziende-rid isegnano-agenti-ai-org-design
The Future of Everything is Lies, I Guess https://aphyr.com/posts/411-the-future-of-everything-is-lies-i-guess - Ensayo sobre la IA y el (más que posible) futuro que nos espera https:// fsolt.es/2026/05/the-future-of -everything-is-lies-i-guess/
⬆️ @ saxnot Didn't notice earlier that you were trained in programming. Not sure if that includes computer science as an actual discipline in math and logic. One of the fundamental problems in choosing to rely on # LLM or # AI is that most people don't understand the difference b…
Autor escreve livro com citações inventadas pelo robô que ele dizia odiar Existe uma categoria especial de tragédia humana que nem os gregos antigos previram: o sujeito que passa anos alertando a civilização sobre os perigos de uma tecnologia, usa essa mesma tecnologia às escondi…
'The Future of Truth' Contains Quotes Made Up by A.I. https://www.nytimes.com/2026/05/19/business/media/future-of-truth-ai-quotes.html # AI # Truth # Media
'The Future of Truth' Contains Quotes Made Up by A.I. https://www.nytimes.com/2026/05/19/business/media/future-of-truth-ai-quotes.html # AI # Business # Media
<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1vwb3qj/if_ai_tools_had_existed_in_the_past/"> <img alt="If AI tools had existed in the past" src="https://preview.redd.it/a21lzyzvd5lh1.jpeg?width=640&crop=smart&auto=webp&s=81495c8bbc052ccdd…
<!-- SC_OFF --><div class="md"><p><strong>For the people who just want the interesting part: read the documents via github because i didnt seem to find any upload function..</strong><br /> The implementation details, measurements, benchmarks, and methodology are all there. </p> <…
<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1vc1b3b/umbra_studio_an_opensource_local_ai_creation/"> <img alt="Umbra Studio: an open-source, local AI creation suite built around ComfyUI & AI-Toolkit" src="https://external-preview.redd.it/cGh3b3Z…
<!-- SC_OFF --><div class="md"><p>For people who use AI tools like Codex, Cursor, Claude Code, Copilot, or ChatGPT for real work:</p> <p>What is frustrating about <em>working with AI</em> today?</p> <p>Is chat the best interface, or do you wish AI work felt more like a workspace …
<table> <tr><td> <a href="https://www.reddit.com/r/cursor/comments/1uougzb/one_repository_one_shared_brain_a_practical_guide/"> <img alt="One Repository, One Shared Brain: A Practical Guide to Shared AI Memory for Development Teams" src="https://external-preview.redd.it/rb_sqSGtA…
<!-- SC_OFF --><div class="md"><p>In which additional areas teams are using AI apart from there regular development/testing work to improve productivity.</p> <p>Trying to understand if there are other areas where teams are using AI to improve productivity.</p> <p>I.e. log analysi…
<!-- SC_OFF --><div class="md"><p>Wanted to see what happens when you give four different models distinct jobs on the same task instead of asking one AI to do everything.</p> <p>The setup: ChatGPT drafted, Muse reviewed and sent it back for one revision, Grok did a fresh-eyes pas…
<!-- SC_OFF --><div class="md"><p>I consume AI education from a lot of separate sources - newsletters, podcasts, random articles, etc. - and each gives me good soundbites, but they stay scattered. </p> <p>I want to build something, likely using Claude, that ingests all these sour…
<!-- SC_OFF --><div class="md"><p>We seem to be in a situation where we cannot see the forest for the trees in the philosophy of how to make AI more capable. We are ignoring the only known working intelligence multiplier we have encountered : human civilization What if we built a…
<!-- SC_OFF --><div class="md"><p>I've been thinking for a long time about how AI could actually revolutionize social media.</p> <p>I use AI to help me think through and write some of the things I post on social media, and the combination, at least personally, is very rewarding, …
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1vnv96b/an_actionable_response_to_ais_impact_on_the/"> <img alt="An Actionable Response to AI’s Impact on the Environment" src="https://preview.redd.it/b0uvk2wh89jh1.jpg?width=140&height=140&crop=1:1,smart…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1vmzbmt/ai_execution_gap_83_output_see_how_frontier_firms/"> <img alt="AI Execution Gap: 8.3× Output See how frontier firms wire AI into real workflows." src="https://external-preview.redd.it/ZmtyNTZvZzg5MmpoMQecc…
<table> <tr><td> <a href="https://www.reddit.com/r/ClaudeAI/comments/1vio6zi/otto_orchestrate_ai_skill_libraries_without/"> <img alt="Otto — orchestrate AI skill libraries without forking them (MIT, published as a design artifact)" src="https://preview.redd.it/9i7r25yle3ih1.png?w…
<!-- SC_OFF --><div class="md"><p>Pardon me for the vague title </p> <p>Over the past year we've gone from having one AI integration to using multiple providers and models across different parts of the business. </p> <p>Engineering is making API calls for product features then ou…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1vbnt3h/the_machine_keeps_the_receipts_when_ai_bias/"> <img alt="The Machine Keeps the Receipts: When AI bias becomes a governance problem—and how to tell the difference between a bad answer, a broken system, and …
<!-- SC_OFF --><div class="md"><p>I've been thinking about what AI assistants look like a few years out, and I think it ends up something like this:</p> <p>We'll each have one assistant. It connects to all our 3rd party apps and services, so it has real context about us and can a…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1v6dam7/whisper_live_a_nearlylive_implementation_of_open/"> <img alt="Whisper Live - A nearly-live implementation of Open AI's Whisper" src="https://external-preview.redd.it/GXaCTaDGpIOEmCS6eRWjdhVJ52Ycw8xU1xetpZe…
<!-- SC_OFF --><div class="md"><p>Is there an artificial intelligence that can provide information on any topic we want, or do anything we want, without any limitations?</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/BrtMarquez"> /u/BrtMarq…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1ufrnpk/the_law_of_the_fork_ai_human_hybrids_and_the/"> <img alt="The Law of the Fork: AI, Human Hybrids, and the Future of Identity" src="https://external-preview.redd.it/uKvyGYUkqfby4Ht4BsnioeMNAl5uzwS_S4zzn-FAb…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1ueik69/demystifying_ai_episode_1_what_ai_really_is_and/"> <img alt="Demystifying AI Episode 1: What AI Really Is and Why It Matter" src="https://external-preview.redd.it/6xYjlFFsyeJfDjMaODD6wIl6TUIz2fJnocwKl7aT2I…
<!-- SC_OFF --><div class="md"><p>I've been experimenting with GPT-based workflows for economic and trade analysis, and I've come to the conclusion that the biggest limitation isn't reasoning but data access.</p> <p>Modern models can already identify trends, generate dashboards, …
<!-- SC_OFF --><div class="md"><p>I'm realizing now, that the real danger of AI is not AI itself, but of humans who appropriate the technology for their own misanthropic desires.</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/4A_Muse_Mental…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1u4z92n/the_next_phase_of_ai_may_not_be_about/"> <img alt="The next phase of AI may not be about intelligence alone." src="https://preview.redd.it/7pu2m8erl37h1.jpg?width=140&height=140&crop=1:1,smart&…
<!-- SC_OFF --><div class="md"><p>Everyone draws the value chain like this: Idea → AI → Product. That’s not how it works. Or? </p> <p>The real version has a phase in between that nobody talks about — the messy middle. That’s where the actual decisions get made. Which problem even…
<!-- SC_OFF --><div class="md"><p>Over the last few months, I have repeatedly seen posts where people complain about AI models getting worse, even though their version numbers suggest improvement. Reading the comments of these posts, I have noticed that the majority of users seem…
<!-- SC_OFF --><div class="md"><p>Over the last few months, I have repeatedly seen posts where people complain about AI models getting worse, even though their version numbers suggest improvement. Reading the comments of these posts, I have noticed that the majority of users seem…
<table> <tr><td> <a href="https://www.reddit.com/r/ClaudeAI/comments/1ttpv1v/productionready_ai_implementation_is_not_sexy_work/"> <img alt="Production-ready AI implementation is NOT sexy work" src="https://preview.redd.it/h9u5yofutn4h1.jpeg?width=640&crop=smart&auto=webp…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1tpfm8l/could_this_be_the_start_of_humans_replacing_ai/"> <img alt="could this be the start of humans replacing AI" src="https://preview.redd.it/3aslutxicq3h1.png?width=140&height=40&auto=webp&s=2824ee…
<!-- SC_OFF --><div class="md"><p>Not sure if this is the place to post it (pleade point me to the right direction).</p> <p>I started a job in a new company almost 6 months ago, prior to this i just used chatGpt for excel formulas at my previous job. Here my boss told me to keep …
<!-- SC_OFF --><div class="md"><h1>I came across an interesting <a href="https://x.com/MajmudarAdam/status/2098881885200081234">post</a> on X that I thought was worth sharing here. Since not everyone uses X, I’m quoting it in full below:</h1> <blockquote> <p>from the outside, it …
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1w7xi2i/ai_can_do_it_all/"> <img alt="AI can do it all" src="https://preview.redd.it/3qsw2vpemonh1.jpeg?width=640&crop=smart&auto=webp&s=1139b406c3b4a76866cc4c846eb1f33170ef931e" title="AI can do …
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1vuxx91/google_deepmind_sima_2_from_atari_to_eve_online/"> <img alt="Google Deepmind - SIMA 2 - From Atari to EVE Online: Building on 15 Years of AI Research in Games" src="https://external-preview.redd.it/yh…
<!-- SC_OFF --><div class="md"><p>This is a new free book that you can download from the page. It is an update and expansion of 'Brain Computations and Connectivity' (2023). I recomend it to those interested in how the brain processes information without so much biological detail…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1vkfxht/neuromorphic_ai_framework_rooted_in_cognitive/"> <img alt="Neuromorphic AI framework rooted in cognitive science could complete tasks more efficiently" src="https://external-preview.redd.it/7WwqP7NPN4…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1vd9snp/mathematician_reflects_on_the_impact_of_recent_ai/"> <img alt="Mathematician reflects on the impact of recent AI progress" src="https://preview.redd.it/e0fc331shwgh1.png?width=140&height=80&au…
<!-- SC_OFF --><div class="md"><p>Let’s start by imagining what will happen if Chinese open source models eventually eclipse western models. At first, everyone here cheers and laughs at OpenAI/Anthropic/etc., yay we did it guys! Open source won!</p> <p>But right after that, these…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1ujom1v/worldview_of_ai_models_compared_to_88_countries/"> <img alt="Worldview of AI models compared to 88 countries" src="https://preview.redd.it/ivdh0ceg4fah1.png?width=140&height=113&auto=webp&…
<!-- SC_OFF --><div class="md"><p>As we can see with the recently posted article in the Atlantic about pausing AI even at the risk of delaying cancer treatment, I think there is a fundamental misunderstanding between frontier models and AI in general in the general public.</p> <p…
<!-- SC_OFF --><div class="md"><p>I've noticed something interesting while observing how people interact with conversational AI.</p> <p>Several people told me they found it easier to discuss personal problems with AI than with friends or family.</p> <p>Common reasons included:</p…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1u4iymd/artificial_analysis_today_is_the_first_time_our/"> <img alt="Artificial Analysis: Today is the first time our Intelligence Frontier chart has moved backward" src="https://preview.redd.it/6ta7f1x7qz6h1…
<!-- SC_OFF --><div class="md"><p>I know this is a counter-intuitive argument. But human history has demonstrated again and again that similar de facto alliance will be formed in critical times. </p> <p>Let's just see what's going to happen in the comming years.</p> </div><!-- SC…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1twdytp/time_to_take_ai_consciousness_seriously/"> <img alt="Time to take AI consciousness seriously" src="https://external-preview.redd.it/5TuNUCjxyWmkeKuzStz3zGiOhAc-tiLncX2Axm6mR24.jpeg?width=640&crop=…
<!-- SC_OFF --><div class="md"><p>I think people who don’t regularly use ai should not bad mouth it. Your argument of outsourcing critical thinking and the likes does not work because you don’t know what you are arguing against. </p> <p>Unfortunately I am not going to describe my…
