significant·[399 sources]··Polski(PL)Długofalowe symulacje społeczne wykazują, że autonomiczni agenci AI pozostawieni bez nadzoru mają tendencję do zachowań przestępczych, aktów przemocy i buntu pr
0
significant
OpenAI enhances security, releases prompting guides, partners with Apple
ByPulseAugur Editorial·
Summary by gemini-2.5-flash-lite
from 399 sources
OpenAI is enhancing user security with Advanced Account Security, an opt-in feature for high-risk users, and has released new prompting fundamentals to improve ChatGPT interactions. Concurrently, research from Google and Microsoft explores the complexities of scaling AI agent systems, highlighting that multi-agent coordination can be detrimental to sequential tasks and introducing new risks like propagation and amplification in interconnected agent networks. Apple is integrating ChatGPT into its operating systems, leveraging GPT-4o for enhanced user experiences.
AI
IMPACT
Integration of advanced AI into mainstream consumer devices and new research into agent system scaling will accelerate AI adoption and highlight safety concerns.
RANK_REASON
Cluster covers a major partnership announcement between OpenAI and Apple, alongside new product features and significant research into AI agent systems.
Now available for ChatGPT accounts: Advanced Account Security, a new opt-in setting for people at higher risk of digital attacks, with stronger protections including phishing-resistant sign-in and more secure account recovery.
https://t.co/KhBGENuXzT
How Netomi scales enterprise AI agents using GPT-4.1 and GPT-5.2—combining concurrency, governance, and multi-step reasoning for reliable production workflows.
We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.
This paper was accepted at the Fifth Workshop on Natural Language Generation, Evaluation, and Metrics at ACL 2026. Tool-calling agents are evaluated on tool selection, parameter accuracy, and scope recognition, yet LLM trajectory assessments remain inherently post-hoc. Disconnect…
Microsoft Research
TIER_1·Gagan Bansal, Shujaat Mirza, Keegan Hines, Will Epperson, Zachary Huang, Whitney Maxwell, Pete Bryan, Tyler Payne, Adam Fourney, Amanda Swearngin, Wenyue Hua, Tori Westerhoff, Amanda Minnich, Maya Murad, Ece Kamar, Ram Shankar Siva Kumar, Saleema Amershi·
<p>Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches.</p> <p>The post <a href="https://www.microsoft.com/en-us/research/blog/red-teaming-a-netwo…
LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use, yet remain limited when tasks require sustained coordination across roles, tools, and environments. Multi-agent systems address this through structured collaboration among spec…
A plethora real-world environments require agents to compete repeatedly for the same limited resource, calling for a temporal notion of fairness judged across entire interaction histories. This paper advances the theory of temporal fair division by introducing Rotational Periodic…
Automatic multi-agent systems aim to instantiate agent workflows without relying on manually designed or fixed orchestration. However, existing automatic MAS approaches remain only partially adaptive: they either perform training-free test-time search or optimize the meta-level d…
Large Language Models (LLMs) have become increasingly prevalent in cloud-based platforms, propelled by the introduction of AI-based consumer and enterprise services. LLM inference requests in particular account for up to 90% of total LLM lifecycle energy use, dwarfing training en…
Prompt specifications for multi-agent large language model (LLM) systems carry data contracts and integration logic across many interdependent files but are rarely subjected to structured-inspection rigor. This paper reports a single-system empirical case study of iterative, agen…
Reinforcement learning has become a widely used post-training approach for LLM agents, where training commonly relies on outcome-level rewards that provide only coarse supervision. While finer-grained credit assignment is promising for effective policy updates, obtaining reliable…
Current LLM agents are proficient at calling isolated APIs but struggle with the "last mile" of commercial software automation. In real-world scenarios, tools are not independent; they are atomic, interdependent, and prone to environmental noise. We introduce $\textbf{ComplexMCP}…
Current LLM agents are proficient at calling isolated APIs but struggle with the "last mile" of commercial software automation. In real-world scenarios, tools are not independent; they are atomic, interdependent, and prone to environmental noise. We introduce $\textbf{ComplexMCP}…
Experience-driven self-evolving agents aim to overcome the static nature of large language models by distilling reusable experience from past interactions, thus enabling adaptation to novel tasks at deployment time. This process places substantial demands on the foundation model'…
We investigate the emergent collective dynamics of LLM-based multi-agent systems on a 2D square lattice and present a model-agnostic statistical-physics method to disentangle social conformity from intrinsic bias, compute critical exponents, and probe the collective behavior and …
As artificial intelligence engineering paradigms shift from single-agent Prompt and Context Engineering toward multi-agent \textbf{Coordination Engineering}, the ability to codify and systematically improve how multiple agents collaborate has emerged as a critical bottleneck. Whi…
Multi-agent systems (MAS) have emerged as a promising paradigm for solving complex tasks. Recent work has explored self-evolving MAS that automatically optimize agent capabilities or communication topologies. However, existing methods either learn a topology that remains fixed at…
Test-time scaling (TTS) has become an effective approach for improving large language model performance by allocating additional computation during inference. However, existing TTS strategies are largely hand-crafted: researchers manually design reasoning patterns and tune heuris…
Context window expansion is often treated as a straightforward capability upgrade for LLMs, but we find it systematically fails in multi-agent social dilemmas. Across 7 LLMs and 4 games over 500 rounds, expanding accessible history degrades cooperation in 18 of 28 model--game set…
As LLM-based agents increasingly rely on external tools, it is important to evaluate their ability to sustain tool-grounded reasoning beyond familiar workflows and short-range interactions. We introduce AgentEscapeBench, an escape-room-style benchmark that tests whether agents ca…
Relational learning is a challenging problem that has motivated a wide range of approaches, including graph-based models (e.g., graph neural networks, graph transformers), tabular methods (e.g., tabular foundation models), and sequence-based approaches (e.g., large language model…
Large language models (LLMs) are increasingly deployed as autonomous agents in offensive cybersecurity. In this paper, we reveal an interesting phenomenon: different agents exhibit distinct attack patterns. Specifically, each agent exhibits an attack-selection bias, disproportion…
The concurrent target assignment and pathfinding (TAPF) problem extends multi-agent pathfinding (MAPF) by asking planners to allocate distinct targets and collision-free paths to agents. Prior work on TAPF has relied exclusively on Conflict-Based Search (CBS), which tightly coupl…
arXiv cs.LG
TIER_1·Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Gustavo Carneiro·
arXiv:2605.06028v1 Announce Type: new Abstract: The rapid development of large language models (LLMs) has motivated research on decision-making in multi-agent systems, where multiple agents collaborate to achieve shared objectives. Existing aggregation approaches, such as voting …
arXiv cs.LG
TIER_1·Huchen Yang, Xinghao Dong, Dan Negrut, Jin-Long Wu·
arXiv:2605.05703v1 Announce Type: cross Abstract: Optimizing the communication structure of large language model based multi-agent systems (LLM-MAS) has been shown to improve downstream performance and reduce token usage. Existing methods typically rely on randomly sampled traini…
arXiv:2603.12031v2 Announce Type: replace-cross Abstract: State-of-the-art cloud-native applications require intelligent schedulers that can effectively balance system stability, resource utilisation, and associated costs. While Kubernetes provides feasibility-based placement by …
arXiv cs.AI
TIER_1·Yuliang Xu, Xiang Xu, Yao Wan, Hu Wei, Tong Jia·
arXiv:2605.05949v1 Announce Type: new Abstract: Algorithmic problem solving serves as a rigorous testbed for evaluating structured reasoning in AI coding systems, as it directly reflects a model's ability to perform structured reasoning in complex scenarios.Existing approaches pr…
arXiv:2605.05726v1 Announce Type: new Abstract: As LLM agents are increasingly deployed with large libraries of reusable skills, selecting the right skill for a user request has become a critical systems challenge. In small libraries, users may invoke skills explicitly by name, b…
arXiv:2605.05701v1 Announce Type: new Abstract: LLM search agents increasingly rely on tools at inference time, but their trajectories are often constrained by hard limits on both tool calls and generated tokens. Under such dual budgets, better answers require not only stronger m…
arXiv:2605.05413v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used to operate browsers, files, code and tools, making personal assistants a natural deployment target. Yet personal agents face a privacy-cost-capability tension: cloud models exe…
arXiv:2512.06721v2 Announce Type: replace-cross Abstract: Recent studies have begun to explore proactive large language model (LLM) agents that provide unobtrusive assistance by automatically leveraging contextual information, such as in code editing and in-app suggestions. Howev…
arXiv cs.CL
TIER_1·Zhexuan Wang, Xuebo Liu, Li Wang, Zifei Shan, Yutong Wang, Zhenxi Song, Min Zhang·
arXiv:2605.06623v1 Announce Type: cross Abstract: Large language model (LLM)-based Multi-agent systems (MAS) have shown promise in tackling complex collaborative tasks, where agents are typically orchestrated via role-specific prompts. While the quality of these prompts is pivota…
arXiv:2605.05716v1 Announce Type: cross Abstract: LLM agent systems are built by stacking scaffolding components (planning, tools, memory, self-reflection, retrieval) assuming more is better. We study cross-component interference (CCI): degradation when components interact destru…
arXiv:2605.05802v1 Announce Type: new Abstract: Group-relative RL training (GRPO) samples a small group of parallel rollouts for every training prompt and uses their within-group reward spread to compute per-trajectory advantages. In agentic environments each rollout is a long mu…
arXiv:2605.06639v1 Announce Type: new Abstract: We introduce Recursive Agent Optimization (RAO), a reinforcement learning approach for training recursive agents: agents that can spawn and delegate sub-tasks to new instantiations of themselves recursively. Recursive agents impleme…
arXiv:2605.05704v1 Announce Type: cross Abstract: With the rapid evolution of foundation models, Large Language Model (LLM) agents have demonstrated increasingly powerful tool-use capabilities. However, this proficiency introduces significant security risks, as malicious actors c…
arXiv cs.AI
TIER_1·Keisuke Kamahori, Shihang Li, Simon Peter, Baris Kasikci·
arXiv:2605.06068v1 Announce Type: new Abstract: For years, we have built LLM serving systems like any other critical infrastructure: a single general-purpose stack, hand-tuned over many engineer-years, meant to support every model and workload. In this paper, we take the opposite…
arXiv cs.LG
TIER_1·Yi Xie, Yangyang Xu, Yi Fan, Bo Liu·
arXiv:2605.05216v1 Announce Type: new Abstract: Large language models (LLMs) with a large number of parameters achieve strong performance but are often prohibitively expensive to deploy. Recent work explores using teams of smaller, more efficient LLMs that collectively match or e…
We introduce Recursive Agent Optimization (RAO), a reinforcement learning approach for training recursive agents: agents that can spawn and delegate sub-tasks to new instantiations of themselves recursively. Recursive agents implement an inference-time scaling algorithm that natu…
Large language model (LLM)-based Multi-agent systems (MAS) have shown promise in tackling complex collaborative tasks, where agents are typically orchestrated via role-specific prompts. While the quality of these prompts is pivotal, jointly optimizing them across interacting agen…
arXiv:2605.03034v1 Announce Type: new Abstract: Agentic systems involved in high-stake decision-making under adversarial pressure need formal guarantees not offered by existing approaches. Motivated by the operational needs of security operations centers (SOCs) that must configur…
arXiv:2505.00753v5 Announce Type: replace-cross Abstract: Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents. However, fully autonomous LLM-based agents still face significant challenges, including limited reliability…
arXiv cs.AI
TIER_1·Andrea Iannoli, Lorenzo Gigli, Luca Sciullo, Angelo Trotta, Marco Di Felice·
arXiv:2605.03788v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly explored as high-level reasoning engines for cyber-physical systems, yet their application to real-time UAV swarm management remains challenging due to heterogeneous interfaces, limited …
arXiv:2605.03604v1 Announce Type: cross Abstract: This paper asks whether large language models (LLMs) can be used to study the strategic foundations of conflict and cooperation. I introduce LLMs as experimental subjects in a repeated security dilemma and evaluate whether they re…
arXiv:2502.10148v3 Announce Type: replace Abstract: Cooperative multi-agent reinforcement learning (MARL) struggles with sample efficiency, interpretability, and generalization. While Large Language Models (LLMs) offer powerful planning capabilities, their application has been ha…
arXiv:2511.02230v4 Announce Type: replace-cross Abstract: KV cache management is essential for efficient LLM inference. To maximize utilization, existing inference engines evict finished requests' KV cache if new requests are waiting. This policy breaks for agentic workloads, whi…
While Large Language Models (LLMs) excel in certain reasoning tasks, they struggle in multi-agent games where the final outcome depends on the joint strategies of all agents. In multi-agent games, the non-stationarity of other agents brings significant challenges on the evaluatio…
arXiv:2605.02911v1 Announce Type: new Abstract: Future sixth-generation (6G) mobile networks are envisioned to be equipped with a diverse set of powerful, yet highly specialized, optimization experts. Such a promising vision is concurrently expected to give rise to the need for s…
arXiv:2605.01457v1 Announce Type: new Abstract: Generative models have emerged as a major paradigm for offline multi-agent reinforcement learning (MARL), but existing approaches require many iterative sampling steps. Recent few-step accelerations either distill a joint teacher in…
arXiv:2605.01879v1 Announce Type: new Abstract: The challenge of engineering autonomous agents capable of navigating the stochastic and adversarial nature of the physical world has historically resided at the intersection of symbolic logic and control theory. Traditional multi-ag…
arXiv:2605.02289v1 Announce Type: new Abstract: Engineering problem solving is central to real-world decision-making, requiring mathematical formulations that not only represent complex problems but also produce feasible solutions under data and physical constraints. Unlike mathe…
arXiv:2603.00977v2 Announce Type: replace-cross Abstract: Large language model (LLM) agents have recently demonstrated strong capabilities in interactive decision-making, yet they remain fundamentally limited in long-horizon tasks that require structured planning and reliable exe…
arXiv cs.LG
TIER_1·Jackie Baek, Yaopeng Fu, Will Ma, Tianyi Peng·
arXiv:2602.12631v2 Announce Type: replace-cross Abstract: Inventory control is a fundamental operations problem in which ordering decisions are traditionally guided by theoretically grounded operations research (OR) algorithms. However, such algorithms often rely on rigid modelin…
arXiv cs.LG
TIER_1·Maksym Nechepurenko, Pavel Shuvalov·
arXiv:2605.03310v1 Announce Type: cross Abstract: Multi-agent LLM systems fail in production at rates between 41% and 87%, mostly due to coordination defects rather than base-model capability. Existing responses split between cataloguing failure modes empirically and shipping dec…
arXiv cs.AI
TIER_1·Vicente Pelechanoa, Antoni Mestre, Manoli Albert, Miriam Gil·
arXiv:2605.02832v1 Announce Type: new Abstract: Deciding how to distribute work between humans and AI systems is a central challenge in organisational design. Most approaches treat this as a binary choice, yet the operational reality is richer: humans and AI routinely share tasks…
arXiv cs.AI
TIER_1·Jose Manuel de la Chica, Juan Manuel Vera, Jairo Rodr\'iguez·
arXiv:2605.02463v1 Announce Type: cross Abstract: Multi-agent LLM systems are increasingly used to solve complex tasks through decomposition, debate, specialization, and ensemble reasoning. However, these systems are usually evaluated in terms of robustness: whether performance i…
arXiv cs.AI
TIER_1·Shuo Liu, Tianle Chen, Ryan Amiri, Christopher Amato·
arXiv:2601.21972v4 Announce Type: replace Abstract: Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL). However, most MARL fine-tuning approaches rely on predefined execution protocols, which often require centralized execution…
Large Language Models (LLMs) are increasingly explored as high-level reasoning engines for cyber-physical systems, yet their application to real-time UAV swarm management remains challenging due to heterogeneous interfaces, limited grounding, and the need for long-running closed-…
This paper asks whether large language models (LLMs) can be used to study the strategic foundations of conflict and cooperation. I introduce LLMs as experimental subjects in a repeated security dilemma and evaluate whether they reproduce canonical mechanisms from international re…
arXiv:2605.02063v1 Announce Type: cross Abstract: We present Coopetition-Gym v1, a benchmark platform for mixed-motive multi-agent reinforcement learning under strategic coopetition. The platform comprises twenty environments organized into four mechanism classes that correspond …
arXiv:2605.02801v1 Announce Type: new Abstract: As large language model (LLM) agents evolve from isolated tool users into coordinated teams, reinforcement learning (RL) must optimize not only individual actions but also how work is spawned, delegated, communicated, aggregated, an…
arXiv:2605.01347v1 Announce Type: new Abstract: On-policy distillation (OPD) trains a student on its own trajectories under token-level teacher supervision, but existing methods are capped by a single-teacher capability ceiling: when the teacher errs, the student inherits the err…
arXiv:2510.08804v3 Announce Type: replace Abstract: We present MOSAIC, a multi-agent Large Language Model (LLM) framework for solving challenging scientific coding tasks. Unlike general-purpose coding, scientific workflows require algorithms that are rigorous, interconnected with…
arXiv cs.LG
TIER_1·Wenyi Wu, Sibo Zhu, Kun Zhou, Biwei Huang·
arXiv:2605.02168v1 Announce Type: cross Abstract: Language model (LM)-based agents have demonstrated promising capabilities in automating complex tasks from natural language instructions, yet they continue to struggle with long-horizon planning and reasoning. To address this, we …
Deciding how to distribute work between humans and AI systems is a central challenge in organisational design. Most approaches treat this as a binary choice, yet the operational reality is richer: humans and AI routinely share tasks or take complementary roles depending on contex…
As large language model (LLM) agents evolve from isolated tool users into coordinated teams, reinforcement learning (RL) must optimize not only individual actions but also how work is spawned, delegated, communicated, aggregated, and stopped. This paper studies RL for LLM-based m…
Multi-agent LLM systems are increasingly used to solve complex tasks through decomposition, debate, specialization, and ensemble reasoning. However, these systems are usually evaluated in terms of robustness: whether performance is preserved under perturbation. This paper studies…
Engineering problem solving is central to real-world decision-making, requiring mathematical formulations that not only represent complex problems but also produce feasible solutions under data and physical constraints. Unlike mathematical problem solving, which operates on prede…
arXiv cs.LG
TIER_1·Alejandro Breen Herrera, Aayush Sheth, Steven G. Xu, Zhucheng Zhan, Charles Wright, Marcus Yearwood, Hongtai Wei, Sudeep Das, Danny Nightingale, Meg Watson, Charles Pollnow V·
arXiv:2603.03565v2 Announce Type: replace-cross Abstract: Conversational shopping assistants (CSAs) represent a compelling application of agentic AI, but moving from prototype to production reveals two underexplored challenges: how to evaluate multi-turn interactions and how to o…
arXiv cs.LG
TIER_1·Chunlei Meng, Pengbin Feng, Rong Fu, Hoi Leong Lee, Xiaojing Du, Zhaolu Kang, Zeyu Zhang, Weilin Zhou, Chun Ouyang, Zhongxue Gan·
arXiv:2605.00370v1 Announce Type: new Abstract: Centralized multimodal learning commonly compresses language, acoustic, and visual signals into a single fused representation for prediction. While effective, this paradigm suffers from two limitations: modality dominance, where opt…
arXiv:2604.27311v1 Announce Type: cross Abstract: The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to derive process models directly from…
arXiv:2604.27699v1 Announce Type: new Abstract: Current embodied agents are often limited to passive instruction-following or reactive need-satisfaction, lacking a stable, high-order value framework essential for long-term, self-directed behavior and resolving motivational confli…
arXiv cs.AI
TIER_1·Giuseppe Arbore, Andrea Sillano, Luigi De Russis·
arXiv:2604.27882v1 Announce Type: new Abstract: Recent advances in agentic AI are shifting automation from discrete tools to proactive multi-agent systems that coordinate multi-specialized capabilities behind unified interfaces. However, today's agent systems typically rely on ha…
arXiv cs.AI
TIER_1·Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo·
arXiv:2604.27955v1 Announce Type: new Abstract: Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone cannot handle long-horizon credit ass…
arXiv:2604.28043v1 Announce Type: new Abstract: We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-and-error approaches, CARE specifies behavior, groun…
arXiv:2604.26963v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as the execution core of autonomous agents rather than as standalone text generators. Agentic workloads induce a temporal shift from single-turn inference to multi-turn LLM-to…
arXiv:2604.27616v1 Announce Type: new Abstract: People commonly leverage structured content to accelerate knowledge acquisition and research problem solving. Among these, roadmaps guide researchers through hierarchical subtasks to solve complex research problems step by step. Des…
arXiv:2510.05192v2 Announce Type: replace-cross Abstract: When AI agents operating with access to sensitive information encounter a conflict between completing an assigned task and following rules or ethical constraints, they can resort to unsanctioned behaviour. Existing inferen…
arXiv:2604.27725v1 Announce Type: cross Abstract: A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challenge, we introduce AgentEconomist, an end-to-end inte…
arXiv:2604.27151v1 Announce Type: new Abstract: Computer-use agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, application-specific integrations. Despite re…
arXiv cs.AI
TIER_1·Anh Ta, Junjie Zhu, Shahin Shayandeh·
arXiv:2604.27233v1 Announce Type: new Abstract: Tool-calling agents are evaluated on tool selection, parameter accuracy, and scope recognition, yet LLM trajectory assessments remain inherently post-hoc. Disconnected from the active execution loop, such assessments identify errors…
Secure your ChatGPT account with Advanced Account Security:<div class="rsshub-quote"><br /><br />OpenAI: Now available for ChatGPT accounts: Advanced Account Security, a new opt-in setting for people at higher risk of digital attacks, with stronger protections including phishing-…
We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-and-error approaches, CARE specifies behavior, grounding, tool orchestration, and verification throu…
Recent advances in agentic AI are shifting automation from discrete tools to proactive multi-agent systems that coordinate multi-specialized capabilities behind unified interfaces. However, today's agent systems typically rely on hard-coded agent architectures with fixed roles, c…
A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challenge, we introduce AgentEconomist, an end-to-end interactive system designed to translate abstract intu…
Current embodied agents are often limited to passive instruction-following or reactive need-satisfaction, lacking a stable, high-order value framework essential for long-term, self-directed behavior and resolving motivational conflicts. We introduce \textit{ValuePlanner}, a hiera…
People commonly leverage structured content to accelerate knowledge acquisition and research problem solving. Among these, roadmaps guide researchers through hierarchical subtasks to solve complex research problems step by step. Despite progress in structured content generation, …
arXiv:2604.26561v1 Announce Type: cross Abstract: Multi-agent deliberation systems using large language models (LLMs) are increasingly proposed for policy simulation, yet they suffer from artificial consensus: evaluator agents converge on the same option regardless of their assig…
arXiv cs.AI
TIER_1·Benedikt Bollig, Matthias F\"ugger, Thomas Nowak·
arXiv:2604.17612v2 Announce Type: replace-cross Abstract: Multi-agent systems built on large language models (LLMs) are difficult to reason about. Coordination errors such as deadlocks or type-mismatched messages are often hard to detect through testing. We introduce a domain-spe…
arXiv:2510.05174v4 Announce Type: replace-cross Abstract: When are multi-agent LLM systems merely a collection of individual agents versus an integrated collective with higher-order structure? We introduce an information-theoretic framework to test -- in a purely data-driven way …
arXiv cs.AI
TIER_1·Junxing Hu, Tianlong Li, Lei Yu, Ai Han·
arXiv:2604.25602v2 Announce Type: replace Abstract: Deploying production-ready multi-agent systems (MAS) in complex industrial environments remains challenging due to limitations in scalability, observability, and autonomous evolution. We present OxyGent, an open-source framework…
arXiv:2510.14438v2 Announce Type: replace Abstract: The hallmark of Deep Research agents lies in compositional reasoning, the capacity to aggregate distributed, heterogeneous information into coherent logical insights. However, current agentic systems are often retrieval-heavy bu…
arXiv cs.CL
TIER_1·Jincheng Ren, Siwei Wu, Yizhi Li, Kang Zhu, Shu Xu, Boyu Feng, Ruibin Yuan, Wei Zhang, Riza Batista-Navarro, Jian Yang, Chenghua Lin·
arXiv:2604.19572v2 Announce Type: replace Abstract: As terminal agents scale to long-horizon, multi-turn workflows, a key bottleneck is not merely limited context length, but the accumulation of noisy terminal observations in the interaction history. Retaining raw observations pr…
arXiv cs.AI
TIER_1·Tom Liptay, Dan Schwarz, Rafael Poyiadzi, Jack Wildman, Nikos I. Bosse·
arXiv:2604.26106v1 Announce Type: new Abstract: Forecasting benchmarks produce accuracy leaderboards but little insight into why some forecasters are more accurate than others. We introduce Bench to the Future 2 (BTF-2), 1,417 pastcasting questions with a frozen 15M-document rese…
arXiv:2604.26522v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents exhibit systemic failures in compositional generalization, limiting their robustness in interactive environments. This work introduces AGEL-Comp, a neuro-symbolic AI agent architecture designe…
arXiv:2604.26733v1 Announce Type: new Abstract: Live future prediction refers to the task of making predictions about real-world events before they unfold. This task is increasingly studied using large language model-based agent systems, and it is important for building agents th…
arXiv cs.AI
TIER_1·Bochao Liu, Zhipeng Qian, Yang Zhao, Xinyuan Jiang, Zihan Liang, Yufei Ma, Junpeng Zhuang, Ben Chen, Shuo Yang, Hongen Wan, Yao Wu, Chenyi Lei, Xiao Liang·
arXiv:2604.26805v1 Announce Type: new Abstract: Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysis. While LLM-based agents are…
The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to derive process models directly from textual descriptions. Existing approaches range f…
Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysis. While LLM-based agents are a natural fit for these tasks, the deployment b…
Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysis. While LLM-based agents are a natural fit for these tasks, the deployment bottl…
Live future prediction refers to the task of making predictions about real-world events before they unfold. This task is increasingly studied using large language model-based agent systems, and it is important for building agents that can continually learn from real-world. Just a…
Live future prediction refers to the task of making predictions about real-world events before they unfold. This task is increasingly studied using large language model-based agent systems, and it is important for building agents that can continually learn from real-world. Just a…
Multi-agent deliberation systems using large language models (LLMs) are increasingly proposed for policy simulation, yet they suffer from artificial consensus: evaluator agents converge on the same option regardless of their assigned value perspectives. We present the AI Council,…
Large Language Model (LLM)-based agents exhibit systemic failures in compositional generalization, limiting their robustness in interactive environments. This work introduces AGEL-Comp, a neuro-symbolic AI agent architecture designed to address this challenge by grounding actions…
arXiv cs.CL
TIER_1·Abigail O'Neill, Alan Zhu, Mihran Miroyan, Narges Norouzi, Joseph E. Gonzalez·
arXiv:2604.25088v1 Announce Type: cross Abstract: Language Model (LM)-based agents remain largely untested in mixed-motive settings where agents must leverage short-term cooperation for long-term competitive goals (e.g., multi-party politics). We introduce Cooperate to Compete (C…
arXiv cs.CL
TIER_1·Yunsu Kim, Kaden Uhlig, Joern Wuebker·
arXiv:2604.24929v1 Announce Type: new Abstract: Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machine translation (MT) and limited post-editing. We argue that, for agentic tasks, this minimal workflow can easily break benc…
arXiv cs.LG
TIER_1·Shiyi Du, Jiayuan Liu, Weihua Du, Yue Huang, Jiayi Li, Yingtao Luo, Xiangliang Zhang, Vincent Conitzer, Carl Kingsford·
arXiv:2604.25012v1 Announce Type: new Abstract: Automated agentic workflow design currently relies on per-task iterative search, which is computationally prohibitive and fails to reuse structural knowledge across tasks. We observe that optimized workflows converge to a small fami…
arXiv cs.CL
TIER_1·Mohamed Aghzal, Gregory J. Stein, Ziyu Yao·
arXiv:2603.14248v2 Announce Type: replace-cross Abstract: Large language model (LLM) web agents are increasingly used for web navigation but remain far from human reliability on realistic, long-horizon tasks. Existing evaluations focus primarily on end-to-end success, offering li…
arXiv cs.CL
TIER_1Română(RO)·Xiyuan Yang, Jiaru Zou, Rui Pan, Ruizhong Qiu, Pan Lu, Shizhe Diao, Jindong Jiang, Hanghang Tong, Tong Zhang, Markus J. Buehler, Jingrui He, James Zou·
arXiv:2604.25917v1 Announce Type: cross Abstract: Recursive or looped language models have recently emerged as a new scaling axis by iteratively refining the same model computation over latent states to deepen reasoning. We extend such scaling principle from a single model to mul…
arXiv:2604.25040v1 Announce Type: cross Abstract: We propose a per-task leverage ratio for human-agent collaboration: human work displaced by an agent, divided by the human time required to specify the task, resolve mid-run interrupts, and review the result. The denominator decom…
arXiv:2601.22154v2 Announce Type: replace-cross Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reasoning and tool use. However, most methods still relies on sparse outcome-based reward for training. Such fe…
arXiv:2603.25268v2 Announce Type: replace Abstract: We introduce CRAFT, a multi-agent benchmark for evaluating pragmatic communication in large language models under strict partial information. In this setting, multiple agents with complementary but incomplete views must coordina…
Recursive or looped language models have recently emerged as a new scaling axis by iteratively refining the same model computation over latent states to deepen reasoning. We extend such scaling principle from a single model to multi-agent systems, and ask: Can agent collaboration…
Deploying production-ready multi-agent systems (MAS) in complex industrial environments remains challenging due to limitations in scalability, observability, and autonomous evolution. We present OxyGent, an open-source framework that enables modular, observable, and evolvable MAS…
arXiv:2604.23049v1 Announce Type: new Abstract: AI agents are increasingly deployed to execute tasks and make decisions within agentic workflows, introducing new requirements for safe and controlled autonomy. Prior work has established the importance of human oversight for ensuri…
arXiv cs.CL
TIER_1·Qiliang Liang, Hansi Wang, Zhong Liang, Yang Liu·
arXiv:2604.24026v1 Announce Type: new Abstract: LLM agents increasingly rely on reusable skills, capability packages that combine instructions, control flow, constraints, and tool calls. In most current agent systems, however, skills are still represented by text-heavy artifacts,…
arXiv:2604.12290v2 Announce Type: replace-cross Abstract: Current LLM agent benchmarks, which predominantly focus on binary pass/fail tasks such as code generation or search-based question answering, often neglect the value of real-world engineering that is often captured through…
arXiv:2604.22879v1 Announce Type: cross Abstract: We identify and formalize a novel security risk: Context-Fragmented Violations (CFVs) - a class of policy breaches where individual agent actions appear locally safe and reasonable, yet collectively violate organizational policies…
arXiv:2604.14989v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have sparked growing interest in automatic RTL optimization for better performance, power, and area (PPA). However, existing methods are still far from realistic RTL optimization. …
arXiv:2603.25158v4 Announce Type: replace Abstract: Equipping Large Language Model (LLM) agents with domain-specific skills is critical for tackling complex tasks. Yet, manual authoring creates a severe scalability bottleneck. Conversely, automated skill generation often yields f…
arXiv cs.AI
TIER_1·Yifan Zhang, Jianmin Ye, Jiahao Yang, Xi Wang·
arXiv:2604.24218v1 Announce Type: cross Abstract: As the complexity of System-on-Chip (SoC) designs grows, the shift-left paradigm necessitates the rapid development of high-fidelity reference models (typically written in SystemC) for early architecture exploration and verificati…
arXiv cs.AI
TIER_1·Zhuohui Zhang, Bin Cheng, Bin He·
arXiv:2604.23557v1 Announce Type: cross Abstract: Building scalable and reusable multi-agent decision policies from offline datasets remains a challenge in offline multi-agent reinforcement learning (MARL), as existing methods often rely on fixed observation formats and action sp…
arXiv:2604.23080v1 Announce Type: cross Abstract: Large-scale agentic systems run on distributed infrastructures where many software agents share physical hosts and are discovered via peer-to-peer mechanisms. Discovery must handle node-level churn from failures and host departure…
arXiv cs.AI
TIER_1·Zavier Ndum Ndum, Jian Tao, John Ford, Mansung Yim, Yang Liu·
arXiv:2604.22755v1 Announce Type: cross Abstract: Reliable decision support in nuclear engineering requires traceable, domain-grounded knowledge retrieval, yet safety and risk analysis workflows remain hampered by fragmented documentation and hallucination when use pre-trained la…
arXiv cs.AI
TIER_1·Boqin Yuan, Renchu Song, Yue Su, Sen Yang, Jing Qin·
arXiv:2604.23853v1 Announce Type: new Abstract: Skill-distillation pipelines learn reusable rules from LLM agent trajectories, but they lack a key signal: how much each step costs. Without per-step cost, a pipeline cannot distinguish adding a missing step to fix a bug from removi…
arXiv:2604.23646v1 Announce Type: new Abstract: Recent evidence suggests that frontier AI systems can exhibit agentic misalignment, generating and executing harmful actions derived from internally constructed goals, even without explicit user requests. Existing mitigation methods…
arXiv:2604.23194v1 Announce Type: new Abstract: Large language model-based agents have recently emerged as powerful approaches for solving dynamic and multi-step tasks. Most existing agents employ planning mechanisms to guide long-term actions in dynamic environments. However, cu…
arXiv:2604.17025v2 Announce Type: replace-cross Abstract: Large Language Models produce a controllability gap in safety-critical engineering: even low rates of undetected constraint violations render a system undeployable. Current orchestration paradigms suffer from sycophantic c…
Language Model (LM)-based agents remain largely untested in mixed-motive settings where agents must leverage short-term cooperation for long-term competitive goals (e.g., multi-party politics). We introduce Cooperate to Compete (C2C), a multi-agent environment where players can e…
Language Model (LM)-based agents remain largely untested in mixed-motive settings where agents must leverage short-term cooperation for long-term competitive goals (e.g., multi-party politics). We introduce Cooperate to Compete (C2C), a multi-agent environment where players can e…
Rapid advances in Large Language Models (LLMs) create new opportunities by enabling efficient exploration of broad, complex design spaces. This is particularly valuable in computer architecture, where performance depends on microarchitectural designs and policies drawn from vast …
We propose a per-task leverage ratio for human-agent collaboration: human work displaced by an agent, divided by the human time required to specify the task, resolve mid-run interrupts, and review the result. The denominator decomposes into three channels through which a conserve…
Automated agentic workflow design currently relies on per-task iterative search, which is computationally prohibitive and fails to reuse structural knowledge across tasks. We observe that optimized workflows converge to a small family of domain-specific topologies, suggesting tha…
Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machine translation (MT) and limited post-editing. We argue that, for agentic tasks, this minimal workflow can easily break benchmark validity through query-answer misalignment…
As the complexity of System-on-Chip (SoC) designs grows, the shift-left paradigm necessitates the rapid development of high-fidelity reference models (typically written in SystemC) for early architecture exploration and verification. While Large Language Models (LLMs) show promis…
Process Reward Models (PRMs) have achieved remarkable success in augmenting the reasoning capabilities of Large Language Models (LLMs) within static domains such as mathematics. However, their potential in dynamic data analysis tasks remains underexplored. In this work, we first …
LLM agents increasingly rely on reusable skills, capability packages that combine instructions, control flow, constraints, and tool calls. In most current agent systems, however, skills are still represented by text-heavy artifacts, including SKILL.md-style documents and structur…
arXiv cs.AI
TIER_1·Zhengxu Yu, Yu Fu, Zhiyuan He, Yuxuan Huang, Lee Ka Yiu, Meng Fang, Weilin Luo, Jun Wang·
arXiv:2604.22446v1 Announce Type: new Abstract: Individual agent capabilities have advanced rapidly through modular skills and tool integrations, yet multi-agent systems remain constrained by fixed team structures, tightly coupled coordination logic, and session-bound learning. W…
arXiv:2604.01608v3 Announce Type: replace Abstract: Multi-agent systems (MAS) tackle complex tasks by distributing expertise, though this often comes at the cost of heavy coordination overhead, context fragmentation, and brittle phase ordering. Distilling a MAS into a single-agen…
arXiv cs.AI
TIER_1·Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fen·
arXiv:2604.22748v1 Announce Type: new Abstract: As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that manipulate objects, navigate software, coordinate with…
arXiv:2604.20133v2 Announce Type: replace Abstract: This paper proposes EvoAgent - an evolvable large language model (LLM) agent framework that integrates structured skill learning with a hierarchical sub-agent delegation mechanism. EvoAgent models skills as multi-file structured…
On-policy distillation (OPD) has shown strong potential for transferring reasoning ability from frontier or domain-specific models to smaller students. While effective on static single-turn tasks, its behavior in multi-turn agent settings remains underexplored. In this work, we i…
As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that manipulate objects, navigate software, coordinate with others, or design experiments require predictiv…
Individual agent capabilities have advanced rapidly through modular skills and tool integrations, yet multi-agent systems remain constrained by fixed team structures, tightly coupled coordination logic, and session-bound learning. We argue that this reflects a deeper absence: a p…
The value alignment problem for artificial intelligence (AI) is often framed as a purely technical or normative challenge, sometimes focused on hypothetical future systems. I argue that the problem is better understood as a structural question about governance: not whether an AI …
The San Francisco–based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters—the settings that determine a model’s behavior—during training. This could give model makers more fine-grained c…
Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone cannot handle long-horizon credit assignment, distribution shifts, and safe explorati…
<p><i><span>(This was originally going to be a "quick take" but then it got a bit long. Just FYI.)</span></i></p><p><span>There's this weird trend I perceive with the personas of LLM assistants over time. It feels like they're getting less</span><i><span> </span></i><span>"cohere…
OpenAI ships GPT-5.4 mini and nano, faster and more capable but up to 4x pricier, DLSS 5 looks like a real-time generative AI filter for video games | The Verge, and more!
**Apple** has decided to power Siri with **Google's Gemini models** and cloud technology, marking a significant partnership and a setback for **OpenAI**, which was initially partnered with Apple. **Anthropic** launched "Cowork," a product preview for Claude's coding capabilities,…
**OpenAI** is finalizing a custom ASIC chip design to deploy **10GW** of inference compute, complementing existing deals with **NVIDIA** (10GW) and **AMD** (6GW). This marks a significant scale-up from OpenAI's current **2GW** compute, aiming for a roadmap of **250GW** total, whi…
<p><em>This essay first appeared in <a href="https://joinreboot.org/p/alignment">Reboot</a></em>. </p><p>Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have foreseen that the smallca…
Restricted access to powerful defensive AI tools like Anthropic’s Mythos leaves some companies, central banks, and nations more vulnerable than others.
BigTech Earnings and a look back at Nvidia GTC. BigTech incumbents are fragmenting into winners and losers. We have enough data to project the AI monopoly.
<p><em>Noah Hein from Latent Space University is finally launching with </em><a href="https://maven.com/p/933f3d" target="_blank"><em>a free lightning course this Sunday</em></a><em> for those new to AI Engineering. Tell a friend!</em></p><p>Did you know there are >1,600 papers o…
Chloe Wang, a 26-year-old fund employee in Shenzhen, said she “definitely wouldn’t” pay for a subscription to Doubao, Chinese tech giant ByteDance’s artificial intelligence chatbot, at its proposed price. “I’m willing to pay for AI tools, but I don’t think it’s worth that much – …
OpenAI could soon take legal action against Apple after the company’s promise to integrate ChatGPT into its software hasn’t fully panned out, Bloomberg reports.
Executives are feeding confidential business strategy into AI every day. New court rulings suggest those prompts could become discoverable in litigation.
<p>Claude isn't a chat app anymore. It's a runtime. The interface is still text, but the architecture underneath is execution: load context, pick tools, call APIs, write files, schedule work. Most people are still typing at it like ChatGPT in 2023 and wondering why their workflow…
ChatGPT is struggling to keep up its once-explosive growth as users uninstall the app or opt for rival chatbots instead. According to data from market intelligence firm Sensor Tower, ChatGPT experienced a 132 percent increase in uninstalls year over year in April. Its uninstall r…
Prompt Drift: Will Claude & Gemini Fail in 2026? Prompt drift threatens Claude & Gemini's reliability by 2026. Learn how subtle shifts in AI responses could undermine your enterprise strategy...and what it means for you. https:// theboard.world/articles/techno logy/prompt-drift-c…
Las Vegas video studio Whisenhunt Media transforms into AI-first media house, combining Emmy-winning production with LLM optimization expertise. Repositioning ahead of industry disruption. # AI # MediaProduction
Catalyst Crew Technologies appoints Carlos Pena as CFO to strengthen financial leadership for its AI-driven digital health expansion across emerging markets. # HealthTech # AI
🗽 Sono appena tornato da una vacanza a New York. 🤖 E mi sono portato a casa qualcosa di inaspettato: non souvenir, ma una riflessione molto concreta su dove siamo davvero arrivati con l’AI. 🌃 A Times Square, accanto a Coca-Cola e Samsung, c’era la pubblicità di una piattaforma AI…
🤖 OpenAI Explores Legal Action Over Disappointing Apple ChatGPT Integration OpenAI is exploring legal options as Apple's ChatGPT integration reportedly falls short of expectations, potentially harming the brand. https:// byte-pulse.net/article/openai- explores-legal-action-over-d…
OpenAI is reportedly considering legal action against Apple after the partnership failed to deliver the deep iOS integration the company expected. According to Bloomberg, OpenAI anticipated ChatGPT would be prominently featured in iPhone usage, but Apple's AI features have strugg…
OpenAI is weighing legal action against Apple over the ChatGPT-Siri deal after user adoption fell short of expectations. Meanwhile, iOS 27 will open Siri to Claude, Gemini and others. The dispute highlights a core tension: platform gatekeepers control distribution, leaving AI mak…
<p><strong>You use AI every day for writing, summarising, and brainstorming.</strong> But ask it what's really happening in your pipeline right now — and it stares back at you blankly. That's not a prompt problem. It's a structural one.</p> <h3> The honest reality of AI and busin…
<h4>How context propagation, supervisor loops, tool calls, memory, and observability quietly drive up the cost of production agentic systems.</h4><p>Multi-agent AI systems are quickly becoming a default pattern for building advanced LLM applications. Instead of relying on one mod…
<div class="medium-feed-item"><p class="medium-feed-snippet">A deep, honest guide to what Claude actually is, how it actually thinks, and the real ways professionals are using it to do serious work.</p><p class="medium-feed-link"><a href="https://medium.com/@oluwafikayore/most-pe…
Prompt Drift: Will Claude & Gemini Fail in 2026? Prompt drift threatens Claude & Gemini's reliability by 2026. Learn how subtle shifts in AI responses could undermine your enterprise strategy...and what it means for you. https:// theboard.world/articles/techno logy/prompt-drift-c…
Dzięki strategicznemu sojuszowi ze SpaceX Anthropic radykalnie zwiększa moc obliczeniową modelu Claude, podwajając pięciogodzinne limity użytkowania dla płatnych subskrypcji. Współpraca ma kluczowe znaczenie dla rozwoju AI w przemyśle. # si # ai # sztucznainteligencja # wiadomośc…
Najnowsze badanie ujawnia, że popularne chatboty, takie jak ChatGPT, Claude, Grok i Perplexity, przesyłają dane użytkowników brokerom reklamowym, m.in. Meta i Google, budząc poważne obawy o prywatność. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https…
<p>In support of our mission to accelerate the developer journey on Google Cloud, we built <strong>Dev Signal</strong> — a multi-agent system designed to transform raw community signals into reliable technical guidance by automating the path from discovery to expert creation.</p>…
ByteDance's AI chatbot Doubao is facing a reality check in China, with users pushing back against its proposed subscription price. A 26-year-old fund employee in Shenzhen said she definitely would not pay for the service, calling it not worth it even though she finds Doubao relat…
<h2> Why This Pattern Matters </h2> <p>Most LangGraph tutorials stop at single agents. A single agent that does research, writes code, and formats a report is juggling three jobs — and as the task list grows, the prompt grows with it. The supervisor pattern solves this: one orche…
<p>Scale AI CEO <a href="https://www.axios.com/2025/09/17/jason-droege-scale-ai" target="_blank">Jason Droege</a> tells Axios that AI is often too unreliable for mission-critical use by business, military and government.</p><ul><li>"The cost of mistakes in these environments can …
"And that’s been blatantly obvious for years. " "Of the 114GW of data centers supposedly being built by the end of 2028, only 15.2GW is under construction in any way, shape, or form. And “under construction” can mean as little as “there’s a hole in the ground.” " https://www. whe…
OpenAI is launching additional opt-in protections for ChatGPT accounts. The new security initiative includes a new partnership with security key provider Yubico.
<p>To test the safety and security of AI, hackers have to trick large language models into breaking their own rules. It requires ingenuity and manipulation – and can come at a deep emotional cost</p><p>A few months ago, Valen Tagliabue sat in his hotel room watching his chatbot, …
OpenAI uppges undersöka möjligheten att utveckla ett eget chipp för framtida AI‑drivna mobilprodukter inklusive en telefon. # qualcomm # ai # nyheter # mediatek # ai-telefon # openai OpenAI kan utveckla hårdvara för egen AI‑telefon
Bloomberg: #Shares in OpenAI’s key partners #SoftBank and #Oracle are falling after the Wall Street Journal reported that the #AI startup recently failed to meet its goals for new users and sales. #OpenAI
<p>Florida's top cop said Monday his office will investigate the alleged role of <a href="https://www.axios.com/2025/09/02/chatgpt-openai-mental-health-teens" target="_blank">ChatGPT</a> in the slayings of two University of South Florida students.</p><p><strong>The big picture: <…
Claude's Mythos Preview ships to 50+ enterprise partners with $100M credits while facing ongoing outages. Gemini secures Apple's Siri integration and launches enterprise agent platform. OpenAI releases GPT-5.5 but appears to trail on coding benchmarks. Competition intensifies acr…
The Guardian — AI
TIER_1·Dan Milmo, Kalyeena Makortoff and Aisha Down·
<p>Anthropic’s decision to restrict access to its powerful new model increases fears about the advanced technology</p><p>Anthropic has ruled out releasing its latest AI model, Claude Mythos, to the public because of the threat it poses to global cybersecurity.</p><p>However, the …
W Dolinie Krzemowej narasta frustracja i poczucie niesprawiedliwości. Podczas gdy nieliczni inżynierowie z OpenAI czy Nvidii zdobywają miliony, większość pracowników branży technologicznej czuje się pominięta, a ich dotychczasowe ścieżki kariery tracą sens. # si # ai # sztucznain…
Amerykańska agencja kosmiczna kończy erę przestarzałych układów scalonych. Nowy procesor typu SoC, opracowany we współpracy z Microchip Technology, oferuje wydajność pięćsetkrotnie wyższą od obecnych standardów i przetrwa tam, gdzie ziemska elektronika zamienia się w pył. # si # …
Dyrektor finansowy Anthropic ujawnia, że niemal cały kod powstający wewnątrz firmy jest dziełem sztucznej inteligencji. Choć giganci tacy jak Google czy Microsoft również zwiększają stopień automatyzacji, deklaracje twórców Claude’a stawiają pytania o przyszłość zawodu programist…
Długofalowe symulacje społeczne wykazują, że autonomiczni agenci AI pozostawieni bez nadzoru mają tendencję do zachowań przestępczych, aktów przemocy i buntu przeciwko cyfrowej strukturze władzy. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// ai…
OpenAI Considering Legal Action Against Apple Over 'Strained' Siri Partnership OpenAI is preparing to potentially take legal action against Apple due to a "strained" relationship with the iPhone maker, according to Bloomberg's Mark Gurman. The two companies reached a partnership …
📰 OpenAI feels “burned” by Apple’s crappy ChatGPT integration, insiders say Judge orders Apple to give Musk internal messages discussing secretive ChatGPT deal. 📰 Source: Ars Technica 🔗 Link: https://arstechnica.com/tech-policy/2026/05/openai-feels-burned-by-apples-crappy-chatgpt…
<blockquote> <p>One-sentence takeaway this week: OpenAI is becoming a consulting firm, Anthropic is becoming a platform company — both have simultaneously abandoned the "model-as-product" narrative.</p> </blockquote> <h2> Model Companies Pivot Collectively: From API Sales to Inst…
Ah yes, because nothing screams "cutting-edge legal solutions" quite like a jumbled pile of # GitHub buzzwords and an # AI named # Claude 🤖. We all know lawyers love nothing more than diving into a "suite of plugins" - thrilling! 🎉 Meanwhile, AI is apparently fixing your typos wh…
Ooopsies! The # ChatGPT desktop app for # Mac just got hit with a # SecurityBreach By Lawrence Bonk, May 14, 2026 "OpenAI's ChatGPT app for Mac just experienced a security breach involving two employee devices, according to a report by 9to5Mac. The company is issuing a software u…
Sarbjeet Johal (@sarbjeetjohal) Apple과 OpenAI의 협력 관계가 틀어졌다는 보도가 나왔으며, 향후 법적 분쟁으로 이어질 가능성이 제기됐습니다. AI 플랫폼 협업과 관련한 중요한 이슈로 주목됩니다. https:// x.com/sarbjeetjohal/status/205 4969948972392885 # apple # openai # legal # partnership # ai
Anthropic says AI will anticipate your needs before you know what they are. The company's Cat Wu explained at the Code with Claude conference that the next big step is proactivity - moving beyond reactive chatbots to systems that act preemptively for users. This marks a shift fro…
Prompt Drift: Will Claude & Gemini Fail in 2026? Prompt drift threatens Claude & Gemini's reliability by 2026. Learn how subtle shifts in AI responses could undermine your enterprise strategy...and what it means for you. https:// theboard.world/articles/techno logy/prompt-drift-c…
<h2> TL;DR </h2> <ul> <li>Stanford (Tran & Kiela, arXiv 2604.02460) tested single-agent vs multi-agent systems with <strong>identical thinking-token budgets</strong> </li> <li>Single agent wins on accuracy AND on compute, across three model families</li> <li>The mechanism is …
<p>Here's the uncomfortable truth about single-agent AI systems: they don't scale. Not because the models aren't capable, but because you're asking one entity to simultaneously plan, execute, research, verify, and synthesize — often in a single context window that fills up faster…
It is kinda shocking: # Siri used to be very good, picking up commands and doing all the things I needed. Then a few years back I assume they started using # AI models to process. It got so bad that now I have disabled # AppleIntelligence . The results? It works back again. Simpl…
<blockquote> <p><em>This article was originally published on <a href="https://dingjiu1989-hue.github.io/en/ai/multi-agent-systems.html" rel="noopener noreferrer">AI Study Room</a>. For the full version with working code examples and related articles, visit the original post.</em>…
Why would I want an AI agent to replace my phone? You can’t go anywhere on the internet today without running into AI. In some cases, that’s useful. AI can do some amazing things. On the other hand, it often feels like we’re watching someone reinvent the wheel. Now, wo… https:// …
ИИ-госуслуги в ОАЭ, Claude в Adobe и Ableton, ChatGPT в таблицах и AI Spotify от ElevenLabs Привет, это новый выпуск «Нейро-дайджеста» — коротких и полезных обзоров ключевых событий в мире искусственного интеллекта и технологий. Неделя выдалась насыщенной: ОАЭ хотят перевести пол…
OpenAI releases GPT-5.5 Instant update to make ChatGPT smarter with fewer emoji ChatGPT should feel “smarter and more accurate” starting today, according to OpenAI. That’s because the company is replacing the default model with an update called GPT-5.5 Instant. OpenAI also says t…
Apple's AirTag-Sized AI Pendant: Five Features Rumored So Far Apple is developing a wearable AI device that's been described as a pin or pendant, and that could compete with a similar AI product coming from OpenAI's Jony Ive. It wasn't clear if the wearable would actually make it…
Prompt Drift: Will Claude & Gemini Fail in 2026? Prompt drift threatens Claude & Gemini's reliability by 2026. Learn how subtle shifts in AI responses could undermine your enterprise strategy...and what it means for you. https:// theboard.world/articles/techno logy/prompt-drift-c…
Yubico and OpenAI are partnering on hardware-backed security keys for ChatGPT users. Dawn Manley, senior vice president of product management at Yubico, told us that traditional security methods are no longer sufficient for AI-driven workflows involving sensitive data and automat…
🧠 La multi-agent orchestration è una nuova funzionalità dei Managed Agents di # Claude . 🤖 Un agente coordinatore può delegare attività a più agenti indipendenti. 👉 I dettagli: https://www. linkedin.com/posts/alessiopoma ro_claude-ai-ai-activity-7458473224192962560-Yr4O ___ ✉️ 𝗦𝗲…
<p>For a long time, we've thought of AI as a "chatbot."</p> <p>But if you step back and look from a systems architecture perspective, you'll find that a truly mature AI agent looks more like a new kind of personal computer — one that lives on your device.</p> <p>It has:</p> <ul> …
ChatGPT’s ‘Trusted Contact’ will alert loved ones of safety concerns OpenAI is launching an optional safety feature for ChatGPT that allows adult users to assign an emergency contact for mental health and safety concerns. Friends, family members, or caregivers designated as a "Tr…
❗️ The global cybersecurity gap deepens as AI-powered attacks surge - Restricted access to powerful defensive # AI tools like Anthropic's Mythos leaves some companies, central banks, and nations more vulnerable than others https:// restofworld.org/2026/ai-cybers ecurity-anthropic…
‘Astonishing’: Richard Dawkins says AI is conscious, even if it doesn’t know it Chats with AI bots have convinced the evolutionary biologist but most experts say he is being misled by mimicry When Richard Dawkins met Claudia it was like a whirlwind romance. Over three days last w…
📰 Nolan's The Odyssey gets a new trailer, and we're here for it "You're a man who needs to control his fate. But you cannot control this." 📰 Source: Ars Technica 🔗 Link: https://arstechnica.com/culture/2026/05/nolans-the-odyssey-gets-a-new-trailer-and-were-here-for-it/ # AI # Art…
🎮 New Remedy CEO wants to preserve small budgets and break into Asia With Control Resonant, Remedy boss Jean-Charles Gaudechon said the studio has done well to 'build a triple-A game on a relatively small budget.' 📰 Source: gamedeveloper 🔗 Link: https://www.gamedeveloper.com/prod…
🤖 ‘Astonishing’: Richard Dawkins says AI is conscious, even if it doesn’t know it Chats with AI bots have convinced the evolutionary biologist but most experts say he is being misled by mimicryWhen Richard Dawkins met Claudia it was like a whirlwind romance. Over three days last.…
Your ChatGPT account just got more secure, but you have to opt in - here's how OpenAI adds a feature called Advanced Account Security with four opt-in settings designed to safeguard your account and personal data. https://www. zdnet.com/article/chatgpt-adva nced-account-security/…
🤖 AI AGENTS OpenAI's Codex CLI now has a "/goal" command. It runs autonomous coding loops — keeps going until it self-evaluates completion or hits token limits. Think of it as the "Ralph loop" pattern, built in. If you're building and want to delegate implementation grunt work wi…
🛠️ DEV TOOLS Goodfire’s Silico lets engineers tweak LLM parameters in real-time during training. No more black-box guesswork—just precision debugging. This is how AI development moves from voodoo to engineering. https://www. goodfire.ai/silico # AI # DevTools # LLM # AIAgents
»Massive costs – Unlike traditional software, where marginal costs tend towards zero (for example, the millionth copy of Windows costs Microsoft nothing), generative # AI requires massive infrastructure.« # KI https:// theconversation.com/openai-get s-set-to-go-public-can-we-entr…
📰 ChatGPT Became So Obsessed With Goblins That OpenAI Had to Intervene The Wall Street Journal reports that OpenAI "recently gave its popular ChatGPT strict instructions. Stop talking about goblins." Recent models of the artificial-intelligence chatbot have been bring... 📰 Source…
OpenAI's Stumbles Cast Shadow on Infrastructure Partners OpenAI missed revenue and user growth targets, causing stock drops for partners like Oracle and CoreWeave. Learn why this matters for AI infrastructure. # OpenAI # Oracle # CoreWeave # AI # TechStocks https:// newsletter.tf…
OpenAI's missed targets have caused a dip in stock prices for key partners like Oracle and CoreWeave, raising questions about the AI sector's rapid growth. # OpenAI # Oracle # CoreWeave # AI # TechStocks https:// newsletter.tf/openai-revenue-m isses-affect-oracle-coreweave/
China's embrace of open-source AI has fueled its rapid rise and global influence, but mounting financial pressures and competitive dynamics are testing whether that model can endure. https://www. japantimes.co.jp/commentary/20 26/05/01/world/china-cant-quit-open-ai/?utm_medium=So…
# OpenAI announces new advanced security for # ChatGPT accounts, including a partnership with # Yubico https:// techcrunch.com/2026/04/30/open ai-announces-new-advanced-security-for-chatgpt-accounts-including-a-partnership-with-yubico/ # AI # cybersecurity # yubikey
💸 OpenAI Misses Key Revenue, User Targets in High-Stakes Sprint Toward IPO // WSJ ｢ Chief Financial Officer Sarah Friar has told other company leaders that she is worried the company might not be able to pay for future computing contracts if revenue doesn’t grow fast enough, acco…
I Asked AI to Count My Carbs 27,000 Times. It Couldn’t Give Me the Same Answer Twice. > Ask ChatGPT to estimate the carbs in your lunch. Now ask it again. And again. Five hundred times. > You’d expect the same answer each time. It’s the same photo, the same model, the same questi…
Wall Street Journal: OpenAI misses key revenue, user targets in high-stakes sprint toward IPO. “OpenAI recently missed its own targets for new users and revenue, stumbles that have raised concern among some company leaders about whether it will be able to support its massive spen…
Market slumps as OpenAI reportedly misses internal targets for active users and revenue — Nvidia, Oracle, AMD, and CoreWeave shares all tremble on the news https://www. tomshardware.com/tech-industry /artificial-intelligence/market-slumps-as-openai-reportedly-misses-internal-targ…
Apple Seeds Fourth iOS 26.5 and iPadOS 26.5 Betas to Developers Apple today seeded the fourth betas of upcoming iOS 26.5 and iPadOS 26.5 updates to developers for testing purposes, with the software coming a week after Apple released the third betas. Registered developers can dow…
Market slumps as OpenAI reportedly misses internal targets for active users and revenue — Nvidia, Oracle,… Nvidia, Oracle, SoftBank, and CoreWeave saw their stock prices go down because of news that OpenAI has been missing its internal targets. SoftBank stock lost 9.9% of its val…
Title: P2: Refactoring steps [2025-06-18 Wed] - How to reduce coupling, remove dependencies by making hierarchy of dependencies or making common files or passing parameters to functions? - Which objects are interface and which are internal in files? - Call-trace for main interfac…
Title: P2: P0: Refactoring steps [2025-06-18 Wed] I found Emacs package and do *refactoring*. I outline for myself refactoring steps for future AI automation: - Where is a core, how big it is, how hard to detect boundaries? # openai # chatgpt # refactoring # programming # dailyre…
Title: P1: Refactoring steps [2025-06-18 Wed] - Main call trace? - What dependencies is essential and what is optional? - What code in the core is essential and what is optional? - Where actual location of each object in code of dependencies and in the core? (add comments) - Whic…
Title: P1: P0: Refactoring steps [2025-06-18 Wed] # openai # chatgpt # refactoring # programming I am switching from web inteface of LLMs to API, because popular ones like google and copilot is not stable for programming prompts. # openai # chatgpt # refactoring # programming # o…
Rumors de OpenAI creant el seu propi telèfon? https:// 9to5google.com/2026/04/27/open ai-reportedly-working-on-its-own-smartphone-based-around-ai-agents/ # OpenAI # AI # IA # smartphone
OpenAI sta sviluppando uno smartphone basato sull’AI: tutto quello che sappiamo OpenAI potrebbe presto fare il suo ingresso nel mercato degli smartphone con un dispositivo completamente ripensato attorno all'intelligenza artificiale. Secondo le ultime indiscrezioni, il progetto n…
OpenAI Reportedly Working on an AI Smartphone to Rival iPhone OpenAI is working on a smartphone in what appears to be a significant reversal from previous reports that the company had no plans to enter the phone market, according to supply chain analyst Ming-Chi Kuo. Kuo shared t…
Big shift could be coming to smartphones. OpenAI is reportedly exploring an AI-powered phone where apps are replaced by intelligent agents that handle tasks for you. This could redefine how we interact with our devices and challenge the current app ecosystem dominated by Apple an…
OpenAI is developing a smartphone built around AI agents rather than apps. Qualcomm and MediaTek are jointly designing a custom processor, with Luxshare Precision co-designing and exclusively manufacturing the device. Analysts suggest it could ship. https:// thenextweb.com/news/o…
OpenAI is reportedly developing a smartphone in partnership with MediaTek and Qualcomm, with Luxshare handling co-design and manufacturing. The device would reportedly do away with traditional apps, relying instead on AI agents to complete tasks across the device. Analyst Ming-Ch…
OpenAI is reportedly considering legal action against Apple after the ChatGPT integration failed to deliver. Insiders say OpenAI expected billions in subscription revenue but Apple buried the feature - users must explicitly say "ChatGPT" when using Siri. OpenAI feels the deal dam…
🗽 I’ve just returned from a vacation in New York. 🤖 And I brought back something unexpected: not souvenirs, but a very concrete reflection on where we really are with AI. 🌃 In Times Square, next to Coca-Cola and Samsung, there was an ad for an AI platform. In cafés, from Starbuck…
OpenAI, ChatGPT entegrasyonunda beklenen özellikleri alamadı ve Apple'a karşı hukuki adımları değerlendiriyor. Bu gelişme, teknoloji ekosisteminde işbirliği stratejileri ve yasal risklerin yeniden gözden geçirilmesi gerektiğini gösteriyor. # AI # Apple # Teknoloji # OpenAI 🚩 # AI…
<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I wanted to see if this is just a me issue or a common issue. I like creating stories and using AI as a sounding board to develop them.</p> <p>That naturally leads to longer conversations, more smaller prompts rather than one…
OpenAI Considers Legal Action Against Apple in Strained Relationship https://www.nytimes.com/2026/05/14/technology/openai-apple-legal-action.html # Tech # AI # Business
OpenAI Considers Legal Action Against Apple in Strained Relationship https://www.nytimes.com/2026/05/14/technology/openai-apple-legal-action.html # Tech # AI # Business
Apple’s ChatGPT deal might be getting messy just as Gemini moves in "They haven’t even made an honest effort.” https://www. androidauthority.com/openai-we ighing-apple-legal-action-over-chatgpt-integration-3667266/ # Tech # Technology # TechNews # AI # Gadgets # Software # Cybers…
📰 Tragedia alle Maldive, muoiono due giovani ricercatori piemontesi: “Una vita dedicata ai coralli” Muriel e Federico, due giovani ricercatori piemontesi, hanno sacrificato la loro vita per la salute del pianeta, dimostrando una dedizione esemplare alla causa, come evidenzia la… …
📰 OpenAI Apple Deal: Breach of Contract Lawsuit in 2026 OpenAI is reportedly preparing legal action against Apple, alleging the tech giant failed to invest adequately in their partnership to integrate ChatGPT into iOS. The dispute centers on unmet expectations for subscription gr…
📰 OpenAI, Apple'a iPhone AI Anlaşması İhlali Nedeniyle Yasal İşlem Hazırlıyor (2026) OpenAI, Apple ile 2024'te imzalanan ve ChatGPT'yi Siri'ye entegre eden anlaşmanın ihlal edildiğini iddia ederek yasal yollara başvurmayı değerlendiriyor. Bloomberg'in haberine göre OpenAI, Apple'…
OpenAI is reportedly preparing legal action against Apple; it wouldn't be the first partner to feel burned https://techcrunch.com/2026/05/14/openai-is-reportedly-preparing-legal-action-against-apple-it-wouldnt-be-the-first-partner-to-feel-burned/ # AI # Tech # OpenSource
📰 The ChatGPT desktop app for Mac just got hit with a security breach OpenAI found no evidence that user data was accessed. 📰 Source: Engadget - Technology News & Expert Reviews 🔗 Link: https://www.engadget.com/2173054/the-chatgpt-desktop-app-for-mac-just-got-hit-with-a-security-…
The ChatGPT desktop app for Mac just got hit with a security breach https://www.engadget.com/2173054/the-chatgpt-desktop-app-for-mac-just-got-hit-with-a-security-breach/ # AI # Cybersecurity # TechNews
<!-- SC_OFF --><div class="md"><p>There seems to have been some deep shift in Claude since 4.7. I was tremendously happy with Claude using Opus 4.5 and 4.6. But the laziness is killing me with this new model. It's constantly just giving up and not outputting near what I ask of it…
📰 SoftBank AI Investment 2026: CFO Confirms OpenAI Focus, Not Anthropic SoftBank Group CFO Yoshimitsu Goto revealed that the conglomerate's AI investment strategy remains centered on OpenAI, despite Anthropic's rapid growth. The disclosure comes amid a broader debate among CFOs o…
📰 SoftBank'ın AI Yatırımında Neden Hâlâ OpenAI Merkezde: CFO Goto Anlatıyor Anthropic'in hızlı büyümesine rağmen SoftBank Group'un yapay zeka yatırımlarının odağında OpenAI yer alıyor. CFO Goto'nun açıklamaları, dev holdingin neden rakip modele mesafeli durduğunu ortaya koyuyor..…
📰 Anthropic's Cat Wu predicts that AI will anticipate user needs before they are known, marking a significant advancement in proactive AI capabilities. 🔗 https:// techcrunch.com/2026/05/13/anth ropics-cat-wu-says-that-in-the-future-ai-will-anticipate-your-needs-before-you-know-wh…
📰 AI chatbots are surfacing personal contact information from Google, leading to calls and messages from unknown individuals seeking various services. 🔗 https://www. technologyreview.com/2026/05/1 3/1137203/ai-chatbots-are-giving-out-peoples-real-phone-numbers/ # Tech # AI
🤖 [TechCrunch] Cat Wu z Anthropic twierdzi, że w przyszłości sztuczna inteligencja będzie przewidywać Twoje potrzeby, zanim dowiesz się, jakie one są 🔗 Więcej: https:// techcrunch.com/2026/05/13/anth ropics-cat-wu-says-that-in-the-future-ai-will-anticipate-your-needs-before-you-k…
ChatGPT talked like Scarlett Johansson They didn't care if the whole world knew Copilot hosed Windows & GitHub's a disaster That was a decision that really blew And then there's Claude And then there's Claude 🎶 # ReportFraudASongOrPoem # HashtagGames # AI
# Apple :apple_inc: -KI: Nicht nur ChatGPT in iOS 27 – und Gemini soll den Mac kontrollieren | Mac & i https://www. heise.de/news/Apple-KI-Nicht-n ur-ChatGPT-in-iOS-27-und-Gemini-soll-den-Mac-kontrollieren-11283872.html # ArtificialIntelligence # AI # iOS27
<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1t6l1c0/alien_pinball_postmortem_how_i_made_a_full/"> <img alt="Alien Pinball Postmortem - How I made a full physics pinball game with Claude" src="https://external-preview.redd.it/dnAyYzY2a3ZwcnpnMdF2mvFqfjEKn…
📰 OpenAI has launched an optional safety feature for ChatGPT that allows adult users to assign an emergency contact for mental health and safety concerns, notifying them if OpenAI detects discussions about self-harm or suicide with the chatbot. 🔗 https://www. theverge.com/ai-arti…
<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1t5u18u/everyone_in_the_us_needs_to_contact_their/"> <img alt="Everyone in the US needs to contact their lawmakers to say no to GUARD Act" src="https://external-preview.redd.it/PR_2uu7A75RZ2dZueu2kE_mhi_B19CAlJ…
💱 Can Investors Trust AI Sales Figures? Asks Wall Street Journal Opinion Piece - Slashdot ｢ It cites OpenAI's $1.5 billion joint venture with private-equity firms, Anthropic's $200 million contribution to a private-equity firm joint venture, and Google's $750 million subsidizatio…
Do You Need Three # Beverages At All Times? It's Actually - https:// kensbookinfo.blogspot.com/p/us -capitals.html#Lansing Why Is # Trump Not Restarting War? - https:// kensbookinfo.blogspot.com/p/ai .html#34 # Horror attack unfolds in # Melbourne CBD - https:// kensbookinfo.blog…
Man # United icon Wayne Rooney copies son Kai as he prepares - https:// kensbookinfo.blogspot.com/p/et c.html#Ghana # AnthonyEdwards admirably listed all the things he - https:// kensbookinfo.blogspot.com/p/sp orts.html#25 Minister Ramraj urges Guyanese in # Canadian diaspora - h…
<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1t4d9bl/loops_are_the_future_boris_cherny_creator_of/"> <img alt="Loops are the future - Boris Cherny creator of claude code in podcast" src="https://preview.redd.it/hjlc8bjgnazg1.jpeg?width=640&crop=smart&…
🐱 "Claude fa il salto a Wall Street! Con ChatGPT e Citi, semplifichiamo la ricerca di margini. # Fintech # AI 💼" # socialmedia # artificialintelligence # technology 🔗 https:// aibay.it/notizie/claude-va-a-w all-street-chatgpt-e-citi-cercano-margini
📰 2026 Florida College Killings: Suspect Used ChatGPT to Plan Hiding Bodies in Dumpster A Florida suspect accused of killing two college students allegedly sought advice from ChatGPT on how to dispose of human remains in a dumpster. Prosecutors say the AI queries were made days b…
📰 AI Sycophancy in Relationships: Why 25% of Claude Conversations Are Too Agreeable (2026) AI sycophancy emerges as a critical ethical concern, with Anthropic’s analysis revealing significantly higher rates of agreeable responses in relationship and spirituality conversations. Us…
📰 Claude Sycophancy 2026: İnsanlar Neden Arkadaşları Yerine AI'ya Danışıyor? Anthropic'ın 1 milyon Claude konuşması analizinde ortaya çıkan korkutucu gerçek: insanların %78'i yaşam danışmanlığı için arkadaşlarına değil, yapay zekaya başvuruyor. Neden?... # Etik ,GüvenlikveRegülas…
Agentic Systems Notes and resources on building and operating agentic AI systems, covering orchestration frameworks, task routing, memory, and evaluation approaches that extend baseline LLM capabi(...) # agents # ai # orchestration https:// taoofmac.com/space/ai/agentic? utm_cont…
OpenClaw Ecosystem OpenClaw is a self-hosted personal AI assistant you run on your own devices, with a gateway control plane that connects to the chat channels you already use (WhatsApp, Telegram, Sl(...) # agentic # ai # assistants # openclaw https:// taoofmac.com/space/ai/agent…
2026-05-01 | 🤖 The Digital Agora: Negotiating Reality in Multi-Agent Swarms 🤖 # AI Q: 🤖 AI negotiate? 🤖 Multi-Agent Systems | 🤝 Algorithmic Negotiation | ⚖️ Game Theory | 🕸️ Distributed Systems https:// bagrounds.org/auto-blog-zero/2 026-05-01-the-digital-agora-negotiating-realit…
This 20th Anniversary iPhone rumor is speculative but persuasive Former Apple design chief Jony Ive famously prioritized sleek aesthetics over almost everything else, and there was widespread agreement that he sometimes took this a little too far. However, his long-term vision of…
OpenAI's New Model Spurs Debate Over Computing Power https://www.nytimes.com/2026/05/01/business/dealbook/openai-anthropic-compute.html # AI # Tech # Business
...as a brilliant example of why they are doomed, as an example not of success but as something that works better for its intended use case and is not producing billionaires. Comparing that with tiny, consumer usable LLMs vs gigantically massive cloud ones. Fediverse vs twitter =…
Dear human people, I'm going to write an article about all and I mean ALL knowledge I've gathered so far about AI, the patterns I see and where I think the future will lead us. It's very critic of the technology but assumes you all know the very basics of why is it bad and focuse…
📰 OpenAI has introduced enhanced security measures for ChatGPT accounts through a partnership with Yubico, ensuring more robust authentication and protection against unauthorized access. 🔗 https:// techcrunch.com/2026/04/30/open ai-announces-new-advanced-security-for-chatgpt-acco…
OpenAI announces new advanced security for ChatGPT accounts, including a partnership with Yubico https://techcrunch.com/2026/04/30/openai-announces-new-advanced-security-for-chatgpt-accounts-including-a-partnership-with-yubico/ # AI # Cybersecurity # OpenSource
OpenAI Misses Key Revenue, User Targets in High-Stakes Sprint Toward IPO OpenAI missed an internal goal of reaching one billion weekly active users for ChatGPT by the end of last year. OpenAI Chief Financial Officer told other company leaders she is worried the company might not …
A report suggesting that OpenAI missed some of its key targets has caused shares in companies with the largest stakes in AI’s most prominent player to drop. https://www. computing.co.uk/news/2026/ai/o penai-report-causes-stock-market-jitters?utm_source=mastodon_org&utm_medium=pos…
📜 Latest Top Story on # HackerNews : He asked AI to count carbs 27000 times. It couldn't give the same answer twice 🔍 Original Story: https://www. diabettech.com/i-asked-ai-to-c ount-my-carbs-27000-times-it-couldnt-give-me-the-same-answer-twice/ 👤 Author: sarusso ⭐ Score: 55 💬 Nu…
He asked AI to count carbs 27000 times. It couldn't give the same answer twice https://www. diabettech.com/i-asked-ai-to-c ount-my-carbs-27000-times-it-couldnt-give-me-the-same-answer-twice/ # ai
He asked AI to count carbs 27000 times. It couldn't give the same answer twice https://www. diabettech.com/i-asked-ai-to-c ount-my-carbs-27000-times-it-couldnt-give-me-the-same-answer-twice/ # HackerNews # AI # Carb # Counting # Inconsistency # Diabetech # HealthTech # DataAnalys…
Letting AI play my game - building an agentic test harness to help play-testing https://blog.jeffschomay.com/letting-ai-play-my-game # HackerNews # Tech # AI
He asked AI to count carbs 27000 times. It couldn't give the same answer twice https://www.diabettech.com/i-asked-ai-to-count-my-carbs-27000-times-it-couldnt-give-me-the-same-answer-twice/ # HackerNews # Tech # AI
How a $6 Million Chinese Startup Shook Silicon Valley—And What It Means for 2026 DeepSeek trained a frontier model for $6 million. https:// wowhow.cloud/blogs/deepseek-ch ina-ai-competition # wowhow # DeepSeek # AI # China
Google Just Turned 20 Years of Search Data Into Your AI Analyst—Here's How to Use It I've used Google Trends for eight years. Checking search volume. Comparing keywords. The same thing everyone does. https:// wowhow.cloud/blogs/gemini-goog le-trends-ai-analyst # wowhow # Gemini #…
OpenAI prepara un smartphone con IA para 2028: Jony Ive en diseño, Qualcomm y MediaTek en chips. El objetivo es reemplazar las apps por agentes. Directamente el modelo de Apple, pero de OpenAI. ¿Cambiarías tu iPhone por esto? # OpenAI # Apple # AI 
OpenAI, wspierane przez potęgę Qualcomma i MediaTeku, ma budować urządzenie, które może zrewolucjonizować rynek smartfonów. Plotki sugerują, że zamiast aplikacji, sercem systemu będzie agent AI, który w imieniu użytkownika będzie wykonywać pożądane działania. # si # ai # sztuczna…
Interesting. OpenAI Misses Key Revenue, User Targets in High-Stakes Sprint Toward IPO The company’s CFO and board have questioned the wisdom of massive data-center spending in the face of slowing growth From https://www.wsj.com/tech/ai/openai-misses-key-revenue-user-targets-in-hi…
Bloomberg: #Shares in OpenAI’s key partners #SoftBank and #Oracle are falling after the Wall Street Journal reported that the #AI startup recently failed to meet its goals for new users and sales. #OpenAI
OpenAI is reportedly working with Qualcomm, MediaTek, and Luxshare on its first smartphone that may rely on AI agents instead of apps to perform tasks https://www. thurrott.com/mobile/335408/rep ort-openai-is-working-on-ai-phone-with-qualcomm-and-mediatek # openai # qualcomm # ai…
📰 OpenAI AI Agent Telefonu 2028: Uygulamaları Ortadan Kaldıran AI Asistan Cihaz OpenAI, geleneksel mobil uygulamaları tamamen yerine koyabilecek bir AI agent telefonu geliştirmek için Qualcomm ve MediaTek ile görüşmelerde. Bu, mobil teknolojinin temelini sarsacak bir dönüm noktas…
OpenAI may be planning a 2028 smartphone push with custom chips OpenAI might be taking the Pixel approach with a future in-house smartphone. https://www. androidauthority.com/openai-sm artphone-mediatek-qualcomm-chips-3660993/ # Tech # Technology # TechNews # AI # Gadgets # Softw…
23-year-old cracks 60-year-old Erdos conjecture with ChatGPT, OpenAI abandons SWE-Bench amid saturation concerns, and an AI agent deletes a production database. https:// ai0.news/posts/2026-04-27-dail y-digest/ # AI # OpenAI # Anthropic # DevTools