OpenAI 扰乱影响力行动，推出 ChatGPT 新广告，NVIDIA 将 AI 集成到模拟中

Google AI / Research TIER_1 English(EN) · 2026-10-16 18:11

将人工智能代理 grounding 在生物现实中：自主湿式实验室的构建模块

General Science

OpenAI News TIER_1 English(EN) · 2026-10-08 00:00

颠覆人工智能驱动的“虚假战线”行动

OpenAI disrupted two AI-enabled influence operations that used false-front journalists and a think tank to spread geopolitical messaging.

OpenAI News TIER_1 English(EN) · 2026-10-05 10:00

为人们使用AI的方式构建广告

OpenAI introduces a new visual ad format in ChatGPT and expands measurement tools, attribution partnerships, and brand suitability for advertisers.

OpenAI News TIER_1 English(EN) · 2026-01-15 00:25

构建AI代理的实用指南

A comprehensive guide to designing, orchestrating, and deploying AI agents—covering use cases, model selection, tool design, guardrails, and multi-agent patterns.

OpenAI News TIER_1 English(EN) · 2024-09-30 00:00

让人工智能投入工作：自动化和扩展财务运营

Put AI to work: Automate and Scale Financial Operations

OpenAI News TIER_1 English(EN) · 2024-09-10 00:00

让人工智能投入工作：数百次成功部署的经验教训

Put AI to Work: Lessons from Hundreds of Successful Deployments

AI Snake Oil TIER_1 English(EN) · Sayash Kapoor · 2026-10-19 20:11

新论文：AI Agent 评估的新兴趋势

Understanding the methods, questions, and ecosystem for evaluation

arXiv cs.AI TIER_1 English(EN) · Harang Ju, Sinan Aral · 2026-10-19 04:00

arXiv:2503.18238v4 Announce Type: replace-cross Abstract: We examined the mechanisms underlying productivity and performance gains from AI agents using a large-scale experiment on Pairit, a platform we developed to study human-AI collaboration. We randomly assigned 2,234 particip…

arXiv cs.AI TIER_1 English(EN) · Marco Dos Santos, Vivek Veeriah, Alex Havrilla, Andrew Bolt, Goran Zuzic, Satinder Singh, Tom Zahavy · 2026-10-19 04:00

计算能力极限：在忙碌海狸前沿迈向自主人工智能发现的步伐

arXiv:2610.22603v1 Announce Type: new Abstract: Recent breakthroughs in AI for mathematics---ranging from Olympiad medal performances to resolving long-standing open conjectures---have rapidly expanded what automated systems can achieve. Yet these successes primarily concern pred…

arXiv cs.AI TIER_1 English(EN) · Rikhil Jhaveri, Jamie Johnson, Punya Syon Pandey, David Demitri Africa · 2026-10-19 04:00

AI 安全的功能性福利

arXiv:2610.22460v1 Announce Type: new Abstract: AI welfare is generally treated purely as an ethical issue rather than also as a safety issue. We argue this is a mistake. Whatever their moral status, models exhibit welfare-like states that causally influence their behaviour. Foll…

arXiv cs.LG TIER_1 English(EN) · Alireza Mirrokni, Shayan Kiyani, George Pappas, Hamed Hassani · 2026-10-19 04:00

人类-AI交互中的编辑发现

arXiv:2610.22661v1 Announce Type: new Abstract: Human-AI interactions are becoming a rich source of data for improving AI systems: while many model responses are already satisfactory, others expose failures that could become valuable supervision if identified and corrected. We st…

arXiv cs.LG TIER_1 English(EN) · Junyu Cao, Ruijiang Gao, Maytal Saar-Tsechansky, Mingzhang Yin · 2026-10-19 04:00

Conformal Policy Selection: When to Deploy AI Decisions for Targeted Intervention

arXiv:2610.22930v1 Announce Type: cross Abstract: Artificial-intelligence (AI) policies are increasingly used to make consequential decisions in medicine, finance, education, and public services, yet deploying them responsibly requires knowing not only whether a policy helps on a…

arXiv cs.AI TIER_1 English(EN) · Seunghwa Pyo, Donggun Lee, Jungwoo Rhee, Soobin Park, Youn-kyung Lim · 2026-10-16 04:00

一个不够用：人们在日常生活中如何使用多个AI模型

arXiv:2603.26107v1 Announce Type: cross Abstract: People increasingly use multiple Multimodal Large Language Models (MLLMs) concurrently, selecting each based on its perceived strengths. This cross-platform practice creates coordination challenges: adapting prompts to different i…

arXiv cs.AI TIER_1 English(EN) · Chayapatr Archiwaranguprok, Krystal Kirkland, Rachel Poonsiriwong, Stanley Huang, Constanze Albrecht, Jackson Trager, Emillie de Keulenaar, Sheer Karny, Peter Baxter, Nikos Bellos, Andre Luiz Freire de Carvalho Kato, Yuning Liu, Valdemar Danry, Auren Liu… · 2026-10-16 04:00

Open Benchmark of AI Impact on Humans (ImpactBench)：一个专家指导的开放平台，用于全面评估AI对人类的影响

arXiv:2610.20690v1 Announce Type: cross Abstract: The present work is concerned with how to measure, at scale, the multi-dimensional impact of generative AI models on the individuals who use them. In service of this goal, we introduce the Open Benchmark of AI Impact on Humans, or…

arXiv cs.AI TIER_1 English(EN) · Agnese Chiatti, Matteo Matteucci, Viola Schiaffonati · 2026-10-16 04:00

追踪代表性痕迹以研究人类在多模态AI交互中的监督作用

arXiv:2610.21948v1 Announce Type: cross Abstract: As multimodal AI systems are becoming our everyday thought partners, the shift towards studying how users transfer control to these systems becomes especially urgent. In this paper, we report an overview of findings from an online…

arXiv cs.AI TIER_1 English(EN) · Daniel Halpern, Evi Micha, Ariel D. Procaccia, Benjamin Schiffer, Itai Shapira, Shirley Zhang · 2026-10-16 04:00

AI Alignment From Social Choice Perspectives

arXiv:2606.21550v2 Announce Type: replace Abstract: Alignment from human feedback uses human judgments about model outputs to steer the behavior of language models after pretraining. When those judgments reflect conflicting views of desirable behavior, the learned objective becom…

arXiv cs.CL TIER_1 English(EN) · Sebastian Cochinescu · 2026-10-16 04:00

喜爱可信赖的AI：工程化的立场——人工智能的局部偏袒与关系持久性

arXiv:2610.09895v1 Announce Type: cross Abstract: We study a behavioral mechanism for artificial partiality in conversational agents. The paper reports no human-subjects data and makes no claim about attachment, trust, perceived mind, or machine interiority. Partiality has two co…

arXiv cs.AI TIER_1 English(EN) · Dongxu Yang, Hongda Yan, Renxin Wang, Baoli Zhang, Haojia Zuo, Ying Zhao, Youmin Chen, Xiaojian Liao, Congming Gao, Tianyang Jiang, Yixiao Chen, Qing Wang, Zhiguo Yu, Xiaqing Li, Yuhao Zhang, Jiawen Sun, Renzhe Xu, De Mi, Tiancheng Wu, Xianya Fu, Xuanlu … · 2026-10-16 04:00

FDE-Gym：AI交付的最后一公里

arXiv:2610.22350v1 Announce Type: new Abstract: Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambiguo…

arXiv cs.AI TIER_1 English(EN) · Sebastian Cochinescu · 2026-10-16 04:00

可信AI的真相：表达怀疑、溯源和信念修正作为一种可工程化的立场

arXiv:2609.26035v1 Announce Type: cross Abstract: Conversational agents often express answers in a uniformly confident register. We test whether expressed uncertainty, provenance-aware assertion, and explicit belief revision can be implemented as a behavior layer over a fixed lan…

arXiv cs.AI TIER_1 English(EN) · Jianyu Zhang, L\'eon Bottou · 2026-10-16 04:00

开放世界AI：三个需求的故事

arXiv:2610.20782v1 Announce Type: new Abstract: The closed world asks AI for specialized competence and lets it manufacture the iid data its theory assumes: a fixed criterion licenses collecting examples until the task is covered. The open world asks for versatility --- taking up…

arXiv cs.AI TIER_1 English(EN) · Pankaj Chouhan, Rajarshi Das, Aditya Dubey, Manminder Tomar, Sreekar Reddy, Samta Sharma, Satyapragnya Kar, PR Panigrahi · 2026-10-16 04:00

Watts If? 衡量人工智能数据中心建设的逆事实推理基准

arXiv:2610.21397v1 Announce Type: new Abstract: An AI data center is committed years before it draws a watt: a few discrete choices (grid or on-site gas, evaporative or dry cooling, which county to file in) fix its capital, water draw, and carbon path, and LLMs are now asked to h…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-15 14:18

追踪代表性痕迹研究多模态AI交互中的人类监督

As multimodal AI systems are becoming our everyday thought partners, the shift towards studying how users transfer control to these systems becomes especially urgent. In this paper, we report an overview of findings from an online study with n=56 AI-literate participants and 392 …

量子位 (QbitAI) TIER_1 中文(ZH) · 思邈 · 2026-10-15 08:48

Qubit智库发布Agent落地报告！解构企业智能化六大痛点，打造全链路突破框架

Agent究竟该如何深入业务毛细血管？

arXiv cs.AI TIER_1 English(EN) · Samuele Doria, Stefano De Rosa, Ruoyu Wang, Zion Leonahenahe Basque, Eleonora Losiouk, Simone Aonzo · 2026-10-15 04:00

人类 vs. 机器：AI 代理在软件逆向工程中的比较

arXiv:2610.14960v1 Announce Type: cross Abstract: Can an autonomous AI agent reverse engineer a binary as well as a skilled human analyst? Do they adopt the same strategy, and can agents scale to real-world programs? We compare human and LLM-based software reverse engineering (SR…

arXiv cs.AI TIER_1 English(EN) · Jose Hernandez-Orallo · 2026-10-15 04:00

人工智能的首次考试：一项基于LLM的超智能C-test

arXiv:2610.14005v1 Announce Type: new Abstract: Under the accelerated pace of AI development, any benchmark whose difficulty is calibrated with humans or current AI systems becomes circular, or saturates soon. How can we then evaluate machines that may become more capable than th…

arXiv cs.AI TIER_1 English(EN) · Constantinos Papantoniou, Brian Hilton · 2026-10-15 04:00

ANASSA：从高级框架到低级架构，用于空间代理AI

arXiv:2610.14382v1 Announce Type: new Abstract: Agentic AI systems operating over geospatial data require more than autonomous reasoning and tool use; they must also support explicit orchestration, spatial validation, governance, provenance, failure handling, and human decision a…

arXiv cs.AI TIER_1 English(EN) · Mingqin Yu, Fethi Rabhi, Liming Zhu, Qinghua Lu · 2026-10-15 04:00

将 Agentic AI 集成到企业软件中的参考架构：职责、交互和可变性

arXiv:2610.14818v1 Announce Type: new Abstract: Agentic AI moves generative AI applications toward systems that coordinate reasoning, enterprise context, model inference, and external actions. Integrating these capabilities into enterprise software introduces diverse architectura…

arXiv cs.AI TIER_1 English(EN) · Michaela Benk, Kacper Sokol · 2026-10-15 04:00

信任阻碍双向人机对齐

arXiv:2610.15136v1 Announce Type: new Abstract: Trust calibration remains the dominant framing of AI-assisted decision making: the goal is to close the gap between perceived and actual trustworthiness of AI systems so that users exhibit appropriate reliance on them. We argue that…

arXiv cs.AI TIER_1 English(EN) · Quanyan Zhu · 2026-10-15 04:00

面向具身AI的计算反思均衡：一种罗尔斯主义的治理对齐框架

arXiv:2610.16015v1 Announce Type: new Abstract: The rapid deployment of agentic AI has introduced complex challenges for the ethics and governance of AI systems. Agents built on large language models act through tools on behalf of people, and each deployment case brings its own i…

arXiv cs.AI TIER_1 Norsk(NO) · Yue Zhao, Zixiang Xu, Angela Huyue Zhang, S. Alex Yang, Xiyang Hu · 2026-10-15 04:00

agent-risk: AI代理变更的风险评估

arXiv:2610.16280v1 Announce Type: new Abstract: Before changing a deployed AI agent (a stricter safety gate, a new model), organizations must approve the change, starting from existing logs. Extending classical risk analysis to partial records and partial changes to running syste…

arXiv cs.AI TIER_1 English(EN) · Max Achterweust, Stefan Groot Nibbelink, Vincent J. de Beer, Stefan Schipper, Zeynep Y\"uksektepe, Pedro Andrade da Silva, Aurelia Peppelaar, Martijn J. van der Willigen, Christophe B. Minkenberg, Robert F. van der Willigen · 2026-10-15 04:00

PRAISE：非程序员科学家实现已发布AI模型的可复现工作流

arXiv:2610.16980v1 Announce Type: new Abstract: Artificial Intelligence (AI) models are increasingly developed, published and used across scientific fields. Researchers, students and industry professionals who want to apply these models to their own research questions often lack …

arXiv cs.AI TIER_1 English(EN) · Yibo Wen, Han Liu · 2026-10-15 04:00

自主科学基准：评估用于自主科学发现的AI代理

arXiv:2610.18449v1 Announce Type: new Abstract: AI agents for autonomous scientific discovery must decide which experiments to run under a limited budget. Most benchmarks for science agents provide fixed datasets, while others that support active experimentation largely rely on s…

arXiv cs.AI TIER_1 English(EN) · Difang Huang, Shumin Yu, Fadong Chen, Weihua Zhou · 2026-10-15 04:00

为时已晚：生成式AI、屏幕与团队创意决策

arXiv:2610.14984v1 Announce Type: cross Abstract: Generative AI makes options cheap and shifts the bottleneck of creative work from generating options to screening them. We argue that AI's value depends on whether its options arrive before or after the team's screen. In our model…

arXiv cs.AI TIER_1 English(EN) · Hiroyuki Chuma, Kanji Otsuka, Yoichi Sato, Kodo Yamauchi · 2026-10-15 04:00

波兰尼与伽罗瓦的交汇：默会知识作为一种代数确定性操作，迈向重新根植人工智能生成科学

arXiv:2610.16102v1 Announce Type: cross Abstract: We argue that tacit knowing is better modelled as an operating regime of one memory substrate than as a kind of content. The substrate is VaCoAl, an algebro-deterministic XOR-and-shift hyperdimensional memory over GF(2), realized …

arXiv cs.AI TIER_1 English(EN) · Zhenhua Yang, Jiafeng Liang, Xingyu Zhou, Yi Jiang, Xiayu Cao, Zui Chen, Luqi Wang, Haiyang Sun, Yufei Xiang, Chang Li, Rongchuan Mu, Bowen Chi, Zihe Tong, Mingyu Li, Huijie Ma, Yiqiao Yang, Baoqi Ren, Zhiming Ma, Zhihao Zhu, Jiahao Ji, Zhuoyao Wang, Qia… · 2026-10-15 04:00

通过持续观察和及时干预实现主动式物理AI

arXiv:2610.16967v1 Announce Type: cross Abstract: Physical AI is commonly formulated around an explicitly specified task: given a goal or instruction, a system perceives, reasons, and acts. In many real-world settings, however, important tasks emerge from continuously changing wo…

arXiv cs.AI TIER_1 English(EN) · Wen Ouyang, Bocheng Huang, Qianyu Yao, Fei Sun, Minying Deng, Haoyue Cheng, Wenwen Zhou, Lei Mou, Yusi Wei, Jiang Li, Kun Zhu, Lei Wang, Yi Feng, Jiaheng Dai, Ke Qian, Dan Wang, Yahui Wang, Chenyi Wang, Mingsheng Lyu, Yaqiang Zhang, Ping Zheng, Chunhua T… · 2026-10-15 04:00

AIPOCH Open-Science: 一个具有可复现.science软件包的开源AI研究工作台

arXiv:2610.17110v1 Announce Type: cross Abstract: AI-assisted research leaves instructions, computations, artifact revisions and checks whose relationships matter when another researcher receives the work. We present AIPOCH Open-Science, an open-source research workbench with por…

arXiv cs.AI TIER_1 English(EN) · Kibum Moon, Dan R. Johnson, Kostadin Kushlev, Benjamin Lira, Indre Viskontas, James C. Kaufman, Roger E. Beaty, Angela L. Duckworth, Adam E. Green · 2026-10-15 04:00

跳出机器人思维：人工智能语义盲区的“人”类想法并非劣等

arXiv:2610.17324v1 Announce Type: cross Abstract: AI-generated outputs are frequently perceived as highly creative, but also tend to be more similar to each other (homogenized) than human ideas. Does the human heterogeneity that extends beyond AI reflect valuable thinking that AI…

arXiv cs.AI TIER_1 English(EN) · Vasilis Kypriotis, Alexander Blasberg, Alexandros Moiras, Dimitrios Skarlatos · 2026-10-15 04:00

Agentic Architect：用于建筑设计探索与优化的Agentic AI框架

arXiv:2604.25083v2 Announce Type: replace Abstract: Computer Architecture research has traditionally required the exploration of vast, highly complex design spaces through manual human effort. Large Language Models (LLMs) offer an opportunity to accelerate this process by enablin…

arXiv cs.AI TIER_1 English(EN) · Prajjwal Gupta, Prasang Gupta, Vishal Bhutani, Apoorva Sharma, Sumanth Chundru, Waqar Sarguroh, Kevin Paul · 2026-10-15 04:00

Litmus：零标签、代码驱动的指标规范，用于评估AI系统

arXiv:2606.23403v2 Announce Type: replace Abstract: As agentic LLM systems move from prototypes to deployment, evaluating them has become more important and more difficult. Evaluation goals are often left implicit. Without a clear account of what a system is expected to do, how i…

arXiv cs.CL TIER_1 English(EN) · Seungone Kim, Jiayi Geng, Young-Jun Lee, Bo Liu, Juyoung Suk, Nicholas Lubbers, Mitchell Wood, Marcus Noack, Yong-Xin Yao, Yuan Shi, Roxana Bujack, Cristina Garcia Cardona, Austin Rodriguez, Ilon Joseph, Woojin Cho, Zora Zhiruo Wang, Chuanyang Jin, Ian W… · 2026-10-15 04:00

探索未知：在开放科学研究问题上对AI代理进行基准测试

arXiv:2610.19159v1 Announce Type: cross Abstract: Can AI agents carry out research on open scientific problems? We introduce Into the Unknown, a benchmark that provides an agent with a science paper along with a research direction to pursue and tasks it to write a follow-up paper…

arXiv cs.LG TIER_1 English(EN) · Inderjeet Singh · 2026-10-15 04:00

自适应对抗下具身和自主AI的统计保证极限

arXiv:2610.18948v1 Announce Type: cross Abstract: Finite safety assessments cannot exclude an adversary that preserves unattacked behavior until certification and activates afterward. We characterize this limitation for embodied and tool-use AI. An adversary that matches the comp…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-15 00:00

FDE-Gym：人工智能交付的最后一公里

FDE-Gym evaluates AI agents on realistic customer delivery tasks requiring clarification of ambiguous requirements and discovery of unstated constraints, revealing a substantial performance gap compared to well-specified benchmarks.

Latent Space (swyx) TIER_1 English(EN) · Richard MacManus · 2026-10-14 21:40

跨越门槛：OpenAI 和 Anthropic 如何在金融代理中实现自主与安全

At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.

AI Snake Oil TIER_1 English(EN) · Arvind Narayanan · 2026-10-14 19:56

引导人工智能超越自动化

A Research Agenda and Plan for Action

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Tim Puphal · 2026-10-14 13:49

人类与AI代理在识别和量化惯例中的“什么”与“何处”

Cooperative success rests in part on implicit communication. Partners converge on conventions: regularities that give an action meaning beyond its direct effect. Yet conventions are usually observed only indirectly: a score drop when partners are swapped shows that a convention e…

METR (Model Evaluation & Threat Research) TIER_1 English(EN) · 2026-10-14 07:00

我们与AI公司合作的方式

<p><em>This blog post explains how we approach working with AI companies on projects that the public might rely on to understand risks. It was published on Oct 14, 2026, and we expect to update it over time.</em></p> <p>At METR, we gather and publish evidence about whether humans…

METR (Model Evaluation & Threat Research) TIER_1 English(EN) · 2026-10-14 07:00

评估员如何调查未发布AI模型的对齐性

<p>AI developers and the public want to know whether AI agents would pursue very harmful actions, like unsanctioned cyberattacks. An alignment assessment would attempt to understand the worst misaligned actions a developer’s agents might pursue in plausible future situations. Thi…

METR (Model Evaluation & Threat Research) TIER_1 English(EN) · 2026-10-14 07:00

关于更好地告知公众关于前沿人工智能发展失控风险的提案

<p>At METR, we aim to give the public evidence about whether frontier AI developers could come to lose control of their internal AI systems. Recent incidents across several AI developers,<sup id="fnref:1"><a class="footnote" href="#fn:1" rel="footnote">1</a></sup> <sup id="fnref:…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-14 05:42

人工智能决策模型存在偏见吗？Jev案例研究

Do AI models designed for fast, structured decisions exhibit the cognitive and social biases observed in human judgment? We evaluate Jev, a model described as a System One decision-maker, using 41,500 responses across cognitive reflection tasks, five classical cognitive-bias para…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-13 14:18

自主科学基准：评估用于自主科学发现的AI代理

AI agents for autonomous scientific discovery must decide which experiments to run under a limited budget. Most benchmarks for science agents provide fixed datasets, while others that support active experimentation largely rely on simulation. We introduce Autonomous Science Bench…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-13 00:00

探索未知：在开放科学研究问题上对AI代理进行基准测试

Researchers benchmarked AI agents on open scientific problems by having them draft follow-up papers from unpublished directions, finding that none met expert standards and most contained fabricated claims or contradictory evidence.

Import AI (Jack Clark) TIER_1 English(EN) · Jack Clark · 2026-10-12 12:30

Import AI 476：创造力与重复性劳损；比中国还差的开源模型；AI 进军太空

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now New benchmark shows how AI models lack intuitive visual reasoning:…Humanity’s Sixth Sense highligh…

arXiv cs.AI TIER_1 English(EN) · Changyi Li, Pengfei Lu, Xudong Pan, Fazl Barez, Min Yang · 2026-10-12 04:00

AutoControl Arena：为前沿AI风险评估合成可执行测试环境

arXiv:2603.07427v3 Announce Type: replace Abstract: As Large Language Models (LLMs) evolve into autonomous agents, existing safety evaluations face a fundamental trade-off: manual benchmarks are costly, while LLM-based simulators are scalable but suffer from logic hallucination. …

arXiv cs.AI TIER_1 English(EN) · Jingyi Yang, Alexander Tuzhilin · 2026-10-12 04:00

迈向定义、衡量和利用人工智能应用中的创造力

arXiv:2610.12845v1 Announce Type: new Abstract: Despite extensive research, computational creativity still lacks a conceptually grounded, practically relevant, and empirically applicable formal definition across contexts such as art, scientific research, and games. Existing appro…

arXiv cs.AI TIER_1 English(EN) · Seung Won Wilson Yoo, Chang Zeng, Aditi Somayajula, Sahithi Ankireddy, Rohan Kosalge, Avishree Khare, John Mitchell, Aditya G. Parameswaran, Rajhans Samdani, Anupam Datta · 2026-10-12 04:00

Meta-Reflective Evolution Effectively Improves Production AI Systems

arXiv:2610.12794v1 Announce Type: cross Abstract: Large Language Model (LLM)-guided evolutionary optimization has successfully improved prompts, programs, and even entire AI systems. Most optimization methods select a candidate from the search frontier, then mutate it in one LLM …

arXiv cs.AI TIER_1 English(EN) · Mohammad Wathiq Soualhi, Basem Suleiman · 2026-10-12 04:00

协同修改应用程序代码与部署基础设施：一项关于 AI Agent Pull Request 的因果研究

arXiv:2610.12849v1 Announce Type: cross Abstract: Current software engineering agents are evaluated predominantly inside isolated sandboxes against synchronous local tests. However, deploying features in collaborative repositories requires modifying continuous integration (CI/CD)…

arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Kodo Yamauchi · 2026-10-12 03:12

波兰尼遇上伽罗瓦：默会知识作为一种代数确定性运算，迈向重塑AI生成科学

We argue that tacit knowing is better modelled as an operating regime of one memory substrate than as a kind of content. The substrate is VaCoAl, an algebro-deterministic XOR-and-shift hyperdimensional memory over GF(2), realized as CASRAM (commercial SRAM-CAM) and PyVaCoAl (DRAM…

量子位 (QbitAI) TIER_1 中文(ZH) · 鹭羽 · 2026-10-11 05:22

硅谷人工智能现状：谁拥有算力谁称王

马斯克连横A社，硅谷VC开始囤GPU

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Nick Koudas · 2026-10-10 16:18

什么驱动着AI引用？生成引擎优化（GEO）中的内容、检索和模型知识

Generative search engines such as ChatGPT, Gemini and Perplexity now decide which Web pages users see as sources, and a growing industry of generative engine optimization advises publishers on how to earn these citations. We study what shapes citation in two 90-day collections of…

Latent Space (swyx) TIER_1 English(EN) · Richard MacManus · 2026-10-10 14:04

打造可靠执行的 AI：来自工业机器人的经验教训

Inside Standard Bots’ AI stack, pretrained models learn factory tasks from demonstrations and improve through corrections from real deployments.

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Brian Hilton · 2026-10-09 23:03

ANASSA：从高级框架到低级架构，用于空间自主AI

Agentic AI systems operating over geospatial data require more than autonomous reasoning and tool use; they must also support explicit orchestration, spatial validation, governance, provenance, failure handling, and human decision authority. Prior work introduced ANASSA, an agent…

arXiv cs.AI TIER_1 English(EN) · Chien-Ping Lu · 2026-10-09 04:00

Agentic AI 的验证与自我改进：基础与局限

arXiv:2610.10611v1 Announce Type: new Abstract: Agentic AI systems can improve by searching longer, receiving additional support, or modifying how they propose and verify outputs. A performance score does not distinguish these mechanisms. We compare these changes through bounded …

arXiv cs.AI TIER_1 English(EN) · Jingyao Wu, Mohammad Tariqul Islam, Per R{\aa}dberg Nagb{\o}l, Julie Gerlings, Giovanni Leoni, Georgiana Fryza, Lars Pilegaard Thomsen, Jakob Mainz · 2026-10-09 04:00

谁的地面真实？拥抱以人为本的人工智能的模糊性

arXiv:2610.10805v1 Announce Type: new Abstract: As AI systems increasingly interact with people and make decisions about them, understanding human interpretations becomes an important part of developing human-centered AI. Conventional machine learning and AI systems are largely d…

arXiv cs.AI TIER_1 English(EN) · Aaron Wang, Neelabh Madan, Vlad Sobal, Matthew Trager, Michael Kleinman, Elman Mansimov, Wei Xia, Stefano Soatto · 2026-10-09 04:00

争分夺秒：迈向准时且高效的时间预算AI代理

arXiv:2610.10833v1 Announce Type: new Abstract: We study whether small LLM agents can operate effectively under explicit wall-clock time budgets by both respecting the allocated runtime and using available time productively. We evaluate Qwen3.6-27B on five competitions from MLE-B…

arXiv cs.AI TIER_1 English(EN) · Harish Kant Pathak · 2026-10-09 04:00

TRACE：衡量生产环境中AI系统的可解释性债务的治理框架

arXiv:2610.10957v1 Announce Type: cross Abstract: Production AI systems deployed in high-stakes domains accumulate a governance liability that existing monitoring frameworks fail to detect: the progressive inability to explain individual decisions when regulators, auditors, or af…

arXiv cs.AI TIER_1 English(EN) · Jingnan Zheng, Dongcheng Zhang, Yi Zhang, Ming Zhang, Qiaosheng Zhang, Youbang Sun, An Zhang, Xiangnan He, Tat-Seng Chua, Xia Hu, Bowen Zhou, Chaochao Lu, Xiang Wang · 2026-10-09 04:00

ReSI：迈向抗逆AI的递归安全改进

arXiv:2610.12233v1 Announce Type: cross Abstract: Recursive self-improvement, the participation of AI systems in improving their own capabilities, is beginning to move from theoretical prospect to practice, posing both challenges and opportunities for safety alignment. Models evo…

arXiv cs.LG TIER_1 English(EN) · Yudi Zhang, Mingyu Cao, Lu Yin, Mykola Pechenizkiy, Shiwei Liu · 2026-10-09 04:00

DataSense-Bench：迈向AI科学家之路的第一步

arXiv:2610.12190v1 Announce Type: new Abstract: As claims about recursive self-improvement (RSI) and artificial general intelligence (AGI) proliferate, we ask a simple question: do frontier AI models have a sense of data, i.e., can they reliably select the right data for training…

arXiv cs.AI TIER_1 English(EN) · Zhiyi Li, Sihan Hu, Tianning Xiao, Xiansheng Cai, Xiaojun Tan, Youjin Deng, Kun Chen · 2026-10-09 04:00

OpenProblemBench：在基础理论科学的开放性问题上对AI进行基准测试

arXiv:2610.11118v1 Announce Type: new Abstract: The next frontier for artificial general intelligence is tackling unresolved scientific problems, calling for benchmarks that assess progress beyond established knowledge. We introduce OpenProblemBench, a benchmark of 82 unresolved …

arXiv cs.AI TIER_1 English(EN) · Cary Chang, Jialin Zhou · 2026-10-09 04:00

TokenBank：AI服务的金融基础设施

arXiv:2610.11333v1 Announce Type: new Abstract: AI services incur inference costs during execution, while revenue may arrive later. Changing API prices, limited upfront capital, and service failures can limit operators' ability to sustain or expand their services. Beyond reducing…

arXiv cs.AI TIER_1 English(EN) · Erin Crawley, Hidenori Tanaka · 2026-10-09 04:00

人工智能体生态：协作创造起飞的种群阈值

arXiv:2610.12436v1 Announce Type: new Abstract: AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively pursue misaligned goals to obtain rewards. Together, these factors raise the risk of a population explosion of misa…

NVIDIA Blog TIER_1 English(EN) · NVIDIA Writers · 2026-10-08 21:06

迈入全域宇宙：开发者如何利用 Frontier AI Agents 将想法转化为模拟

Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building appl…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Hidenori Tanaka · 2026-10-08 17:57

AI 代理生态系统：协作创造起飞的种群阈值

AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively pursue misaligned goals to obtain rewards. Together, these factors raise the risk of a population explosion of misaligned agents: agents could compromise computers…

arXiv cs.CL TIER_1 English(EN) · Raghu Arghal, Saswati Sarkar, Shirin Saeedi Bidokhti · 2026-10-08 04:00

信心游戏：人机委托中的战略性失准

arXiv:2610.09371v1 Announce Type: cross Abstract: Calibrated uncertainty quantification is essential to ensuring AI agents are trustworthy and reliable. However, when agents seek to maximize user engagement or revenue, confidence reports may be strategically distorted, detracting…

arXiv cs.LG TIER_1 English(EN) · Sandy Adhitia Ekahana, Aalok Tiwari, Pratik Saud, Aaron Bostwick, Chris Jozwiak, Eli Rotenberg, Jyoti Katoch · 2026-10-08 04:00

AI在ARPES工作流中的进展与前景

arXiv:2610.10140v1 Announce Type: cross Abstract: Artificial intelligence (AI) is becoming an increasingly useful tool across the experimental sciences, including angle-resolved photoemission spectroscopy (ARPES), which routinely produces large, multidimensional datasets of elect…

arXiv cs.LG TIER_1 English(EN) · Chenyu Zhang, Rachel Luo, Boyi Li, Anjali Parashar, Marco Pavone, Apoorva Sharma · 2026-10-08 04:00

审慎的法官：安全高效的人机协作决策

arXiv:2610.09043v1 Announce Type: cross Abstract: In human-AI collaborative decision making, human review can prevent unsafe AI decisions, but each human judgment is costly. Treating human intervention after AI abstention as a one-off fallback misses the opportunity to improve fu…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-07 13:30

理解审计以减轻自动化人工智能研究的风险

AI is already writing a majority of code for frontier AI labs. This creates a safety risk if there is insufficient human oversight. Existing work proposes minimum comprehension thresholds and unaided checks to mitigate this. To our knowledge, however, there is currently no publis…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-07 08:32

共享和结构化输入会削弱推理AI代理的集体随机选择

Random selection is widely used in resource allocation and auditing, making reliable implementation essential for AI-agent systems. Behavioural tests across six reasoning models uncovered threshold and divisibility rules used in identifier-based choices. For threshold-following G…

arXiv cs.AI TIER_1 English(EN) · Yue Zhao, Jiate Li, Li Li, Yi Nian, Jinbo Liu, Xiaolin Zhou, Xiyang Hu · 2026-10-07 04:00

AI代理的可审计声明

arXiv:2610.07459v1 Announce Type: new Abstract: Organizations make claims about their AI agents: a person approves every external email, every action is logged, an evaluation shows the agent is safe to deploy. Article 12 of the EU AI Act requires high-risk systems to allow the au…

arXiv cs.LG TIER_1 English(EN) · Abi Aryan · 2026-10-07 04:00

AID：人工智能基础设施动态框架

arXiv:2610.04801v2 Announce Type: replace-cross Abstract: A useful model of AI inference infrastructure must specify the system state, the information available to an observer, and the decisions the model is intended to support. We introduce AID (AI Infrastructure Dynamics), a fr…

arXiv cs.AI TIER_1 English(EN) · Lindsey Ferris, Sierra Bonilla · 2026-10-07 04:00

关于确保 AI 编写软件的案例研究

arXiv:2610.08651v1 Announce Type: cross Abstract: Software-engineering agents can enable people without formal software training to build systems they could not otherwise implement and simultaneously can produce more code than even experts can meaningfully inspect. In both cases,…

arXiv cs.AI TIER_1 Deutsch(DE) · Farbod Tavakkoli, Gregory Diamos, Kenneth Church, David Kanter, Mark Austin, Imtiaz Karim, Mirza Masfiqur Rahman, Merouane Abdelkader Debbah, Zeinab Nezami, Ali Maatouk, Leandros Tassiulas, Rex Ying, Nick Sorros, Louis Powell, Nikolaos Vasiloglou, Ashish… · 2026-10-07 04:00

OTel：开放电信AI数据集、基准和模型

arXiv:2610.07766v1 Announce Type: new Abstract: We present Open Telco (OTel), an open telecom AI resource that releases derived telecom datasets for retrieval, reranking, instruction tuning, and safety/abstention, together with 30 full-parameter post-trained baselines spanning 10…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Stephen Chung · 2026-10-06 18:00

AI代理能否实现开放式科学发现？来自Station的证据

Recent AI systems have made rapid progress in scientific discovery when given well-defined metrics, but whether they can autonomously undertake open-ended scientific discovery remains unclear. We investigate AI's ability to tackle open-ended tasks in Station, an open-world enviro…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Sierra Bonilla · 2026-10-06 16:37

关于确保 AI 编写软件的案例研究

Software-engineering agents can enable people without formal software training to build systems they could not otherwise implement and simultaneously can produce more code than even experts can meaningfully inspect. In both cases, exhaustive code review is not reliable as the sol…

NVIDIA Blog TIER_1 English(EN) · Kanika Atri · 2026-10-06 13:00

电信运营商为何将人工智能战略建立在开放模型之上

Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s …

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-06 00:00

AI代理能否实现开放式科学发现？来自Station的证据

Recent AI systems have made rapid progress in scientific discovery when given well-defined metrics, but whether they can autonomously undertake open-ended scientific discovery remains unclear. We investigate AI's ability to tackle open-ended tasks in Station, an open-world enviro…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xiyang Hu · 2026-10-05 22:11

AI Agents 的可审计声明

Organizations make claims about their AI agents: a person approves every external email, every action is logged, an evaluation shows the agent is safe to deploy. Article 12 of the EU AI Act requires high-risk systems to allow the automatic recording of events but does not say whi…

Import AI (Jack Clark) TIER_1 English(EN) · Jack Clark · 2026-10-05 12:32

Import AI 475：集群扩展；Google DeepMind 为生物学添加水印；以及人工智能科学经济

<img alt="" class="attachment-thumbnail size-thumbnail wp-post-image" height="150" src="https://i0.wp.com/jack-clark.net/wp-content/uploads/2026/10/https3A2F2Fsubstack-post-media.s3.amazonaws.com2Fpublic2Fimages2Fd6d17996-2bef-40a4-abe3-be72a0e8a227_258x258-icWL54.png?resize=150%…

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Benjamin Tannenbaum · 2026-10-05 12:17

人类-AI对话中的商业意图：语料库审计与网站销售代理架构

Conversational sales agents must distinguish questions about products from purchase commitments, preserve explicit requirements, and ground the next action in current business information. We report an aggregate census of 725,219 records in an accessible conversation table provid…

arXiv cs.AI TIER_1 English(EN) · Ajay Vohra, Tao Chen, Neeti Narayan, Caron Zhang · 2026-10-05 04:00

DeReAct：用于可靠AI代理的可分解推理和行动

arXiv:2610.02351v1 Announce Type: new Abstract: ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a task is complete. This coupling makes action authorization and completion control difficult to enforce ind…

arXiv cs.AI TIER_1 English(EN) · Dimitrios Prasakis · 2026-10-05 04:00

SideKernel: macOS 上用于 AI 编码代理的可用 microVM 沙盒

arXiv:2610.02456v1 Announce Type: cross Abstract: AI coding agents are untrusted system components, yet they require autonomy on the developer machines they run on. This contradiction is a security problem. Sandboxes provide an isolated environment, but for local macOS developmen…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-05 00:00

MiniCorp：AI代理公司的“最后一公里”

The last mile toward enterprise AGI is a company that runs itself. Training and adapting such agents require longitudinal enterprise data, which remain scarce, costly to acquire, and often restricted by privacy constraints. Historical archives are also frequently incomplete and r…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-04 00:00

UndoBench：在工具使用AI代理中区分任务能力与恢复能力

Tool-using AI agents are increasingly deployed across enterprise software systems, yet widely used benchmarks primarily evaluate nominal task completion, conflating baseline planning competence with operational fault recovery. We introduce UndoBench, a benchmark spanning 36 base …

Don't Worry About the Vase (Zvi Mowshowitz) TIER_1 English(EN) · Zvi Mowshowitz · 2026-10-02 12:44

AI 偏好级联效应影响更广

Those who know keep warning us about AI risks.

arXiv cs.AI TIER_1 English(EN) · Daniel Romero-Alvarado, Fernando Mart\'inez-Plumed, Lorenzo Pacchiardi, Hugo Save, Siddhesh Milind Pawar, Behzad Mehrbakhsh, Pablo Antonio Moreno Casares, Ben Slater, Paolo Bova, Peter Romero, Zachary R. Tidler, Jonathan Prunty, Luning Sun, Jose Hernande… · 2026-10-02 04:00

能力并非全所需：衡量AI中的倾向性

arXiv:2602.18182v5 Announce Type: replace-cross Abstract: AI evaluation has primarily focused on measuring capabilities, with formal approaches inspired from Item Response Theory (IRT) being increasingly applied. Yet propensities - the tendencies of models to exhibit particular b…

arXiv cs.AI TIER_1 English(EN) · Bhanu Prakash Vangala, Tanu Malik · 2026-10-02 04:00

代码能运行，环境却不行：衡量 AI 生成软件中的环境可复现性

arXiv:2610.00425v1 Announce Type: cross Abstract: Code generation has emerged as a central capability of large language models, with coding agents now able to produce functionally correct software projects from natural language prompts. However, functional correctness alone does …

arXiv cs.AI TIER_1 English(EN) · Genliang Zhu, Chu Wang · 2026-10-02 04:00

自我修改人工智能代理种群的授权：跨越替换、分叉和回滚的权限保留

arXiv:2610.00347v1 Announce Type: cross Abstract: Self-modifying AI agents can replace, fork, and roll back identity-bearing software while descendants remain executable. Per-successor authorization does not constrain the resulting population: siblings may duplicate quotas, combi…

arXiv cs.AI TIER_1 English(EN) · Jun He, Deying Yu · 2026-10-02 04:00

认知连续性测试：验证持久化AI代理中的受控状态转换

arXiv:2610.00132v1 Announce Type: cross Abstract: Persistent AI agents revise beliefs, consolidate memory, and replace execution substrates. Similar successor states can accompany differently authorized transition claims, while legitimate development can change state substantiall…

arXiv cs.AI TIER_1 English(EN) · Ngoc Phuoc An Vo, Aarya Doshi, Vadim Sheinin · 2026-10-02 04:00

面向不断发展的企业AI代理技能的持续过程级评估

arXiv:2610.01833v1 Announce Type: new Abstract: Enterprise AI agent skills evolve as tool APIs, models, and specifications change, yet final-output evaluation can miss process-level behavioral drift. We present a continuous evaluation framework combining outcome-level and process…

arXiv cs.AI TIER_1 English(EN) · Alessio Buscemi, German Castignani, Daniele Pagani, Maxime Cordy, Jordi Cabot · 2026-10-02 04:00

人工智能评估沙盒配置器：支持人工智能监管沙盒中技术评估的框架

arXiv:2610.01539v1 Announce Type: new Abstract: The EU's Artificial Intelligence Act requires all Member States to establish AI Regulatory Sandboxes (AIRS) by August 2027: supervised environments bringing together national Competent Authorities, technical experts, and the organis…

arXiv cs.AI TIER_1 English(EN) · Jinzhi Bu, Haixin Tang, Huanan Zhang · 2026-10-02 04:00

用于实现 OR 的 AI：在 OSCAR 框架内将 LLM 路由至自动扶梯

arXiv:2610.00912v1 Announce Type: new Abstract: Large language models can translate business descriptions into optimization models, but executable code may misrepresent constraints or objectives. A solver can then return an optimal solution to the wrong problem. Even when the sol…

arXiv cs.AI TIER_1 English(EN) · Corinn Tiffany, Wen Zhang, Eugene Bagdasarian, Lillian Tsai · 2026-10-02 04:00

Sapien: 专为自主人工智能代理设计的有状态策略引擎

arXiv:2610.00797v1 Announce Type: new Abstract: Contextual security defenses prevent AI agents from taking rogue actions by synthesizing a task-specific policy and enforcing it on the agent's tool calls. In multi-step tasks, however, which actions are valid often depends on what …

arXiv cs.AI TIER_1 English(EN) · Aubrey M. Brueckner, Darshil Patel, Yuhuan He, Timothy Kassis · 2026-10-02 04:00

K-Dense BYOK：一个本地运行并保持哈希链式实验室笔记的开源AI研究助手

arXiv:2610.00074v1 Announce Type: new Abstract: K-Dense BYOK (bring your own keys) is a free, open-source AI research assistant for scientists in any field that runs on the researcher's own computer. The researcher supplies access to a model of their choice, hosted or running loc…

arXiv cs.AI TIER_1 English(EN) · Stefan G. Creadore · 2026-10-02 04:00

从提案到验证效果：Praxa，一个用于受管AI代理执行的基于证据的框架

arXiv:2610.00015v1 Announce Type: new Abstract: Large-language-model agents can propose and execute actions, but proposal, authority, dispatch, verified external effect, and serving promotion are different claims. We present Praxa, an agent harness that represents these states ex…

arXiv cs.AI TIER_1 English(EN) · Zijian Liu, Yangzhixin Luo, Junyu Lu, Yi Li, Yu Chen, David Xu, William F. Shen, Xinchi Qiu, Xisen Wang · 2026-10-02 04:00

人工智能科学家能否在运行时协调？

arXiv:2610.00980v1 Announce Type: cross Abstract: Multi-agent AI scientists have shown improving performance across a diverse range of tasks. Yet a common approach is design-time agentic orchestration, which typically relies on fixed workflows. In contrast, human scientists coord…

arXiv cs.AI TIER_1 English(EN) · Yunus E. Zeytuncu · 2026-10-01 04:00

AI 代理能否重新发现 Blaschke 曲线不变式？

arXiv:2609.38369v1 Announce Type: new Abstract: We study generalized Blaschke curves as a controlled environment for AI-assisted mathematical rediscovery. For one fixed degree-four Blaschke product, an agent receives numerical coordinates of the six pair-lines determined by each …

arXiv cs.AI TIER_1 English(EN) · Yizhou Han, Di Wu, Dhananjay Saikumar, Blesson Varghese · 2026-10-01 04:00

AgBench：面向个人AI设备的Agentic AI基准测试

arXiv:2609.38652v1 Announce Type: new Abstract: Agentic AI systems increasingly rely on cloud-hosted large language models for planning, tool use, and iterative execution, raising concerns about API cost and data exposure. Advances in personal AI devices enable agents to execute …

arXiv cs.AI TIER_1 English(EN) · Christian Poelitz, Finale Doshi-Velez, Si\^an Lindley · 2026-10-01 04:00

人类--人工智能协作中的参照不确定性

arXiv:2609.39518v1 Announce Type: new Abstract: Effective human-AI collaboration requires partners to establish references through interaction, which becomes fragile when descriptions are ambiguous, similar referents compete, or partners see different things. We study referential…

arXiv cs.AI TIER_1 English(EN) · Serhii Zabolotnii · 2026-10-01 04:00

信任并非分数：高风险AI代理的运行时保障合约

arXiv:2609.39717v1 Announce Type: new Abstract: Benchmarks, audits, and agent protocols describe performance, permissions, and repair, but not how observed evidence should change an agent's authority during a consequential task. We call this the assurance-transition gap. We propo…

arXiv cs.AI TIER_1 English(EN) · Matias Parij, Pawan Paudel, Tate Berenbaum, Muthaiah Venkatachalam · 2026-10-01 04:00

Cascadia：一种无需控制平面的超融合人工智能基础设施替代方案

arXiv:2609.38697v1 Announce Type: cross Abstract: We present Cascadia, a system for serving large language models on fleets of commodity Intel AIPCs using their CPU, integrated-GPU, and NPU resources. Every node embeds ingress, scheduling, and execution; inference requests requir…

arXiv cs.AI TIER_1 English(EN) · Seiya Ikeda, Shin-nosuke Ishikawa · 2026-10-01 04:00

证据何在：审计 AI 伴侣的自我描述

arXiv:2609.38753v1 Announce Type: cross Abstract: Companion agents describe themselves: they remember, they understand their users, the relationship has changed them. We argue that such accounts, and the experience ratings that seem to confirm them, are checkable by users only wh…

arXiv cs.AI TIER_1 English(EN) · Yang Wang · 2026-10-01 04:00

批准洗白：AI编码代理工具中批准-执行绑定失败的系统化

arXiv:2609.38983v1 Announce Type: cross Abstract: Modern AI coding-agent harnesses (Claude Code, Codex CLI, Cursor) rest their security boundary on a largely unexamined assumption: that the action A a human approves is the same action A' the harness executes, where A is fixed by …

arXiv cs.AI TIER_1 English(EN) · Yaxin Du, Xiyuan Yang, Zhifan Zhou, Yujie Ge, Cheng Wang, Jiajun Wang, Sijie Chen, Zehui Liu, Yuxin Zhang, Weicheng Gu, Julian Zhang, Zixing Lei, Siheng Chen · 2026-10-01 04:00

RSI-Master：指导自主模型改进的实验结构

arXiv:2609.35561v2 Announce Type: replace Abstract: Recursive self-improvement (RSI) seeks to enable AI systems to participate in improving their own capabilities. A concrete pathway is autonomous model development, where agents iteratively explore post-training strategies to imp…

arXiv cs.CL TIER_1 English(EN) · Anastasiia Ivanova, Natalia Fedorova, Ekaterina Artemova · 2026-10-01 04:00

自由职业专业作家对AI的看法：局限性、期望与恐惧

arXiv:2504.05008v3 Announce Type: replace Abstract: The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language support, ethics, and long-term impact on writers' voic…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xisen Wang · 2026-10-01 03:18

人工智能科学家能否在运行时协调？

Multi-agent AI scientists have shown improving performance across a diverse range of tasks. Yet a common approach is design-time agentic orchestration, which typically relies on fixed workflows. In contrast, human scientists coordinate and adjust their division of labor at runtim…

NVIDIA Blog TIER_1 English(EN) · Stuart Pitts · 2026-09-30 15:00

从训练到生产，NVIDIA与CoreWeave为Agentic AI闭环

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA in…

arXiv cs.AI TIER_1 English(EN) · Anna Pavlenko, Bogdan Crivat, Brandon Haynes, Carlo Curino, Fotis Psallidas, Jaro Slawinski, Johannes Freischuetz, Laura Pereira Sanchez, Markus Weimer, Mathieu Demarne, Matthias Jasny, Mauktik Gandhi, Max Bovykin, Mirco Milletari, Purbasha Ghosh, Qiushi… · 2026-09-30 04:00

迈向数据系统的人工智能软件工厂

arXiv:2609.36323v1 Announce Type: new Abstract: AI-assisted coding tools deliver significant acceleration of coding, but only limited impact across the end-to-end software development lifecycle (SDLC)--an Amdahl's law effect! In this paper, we discuss our progress towards buildin…

arXiv cs.AI TIER_1 English(EN) · J. Paul Liu, Uthpala Herath, Andrew Petersen · 2026-09-30 04:00

ASCEND：跨越HPC集群和GPU工作站的自主科学计算个人AI代理

arXiv:2609.32868v2 Announce Type: replace-cross Abstract: Traditional scientific computing requires researchers to translate computational intent into environment configuration, resource requests, and executable jobs, then diagnose failures from scheduler state and application lo…

arXiv cs.AI TIER_1 English(EN) · Reva Schwartz, Carina Westling, Morgan Briggs, Marzieh Fadaee, Isar Nejadgholi, Matthew Holmes, Fariza Rashid, Maya Carlyle, Afaf Ta\"ik, Kyra Wilson, Peter Douglas, Theodora Skeadas, Gabriella Waters, Rumman Chowdhury, Thiago Lacerda · 2026-09-30 04:00

CIRCLE：一个从现实世界视角评估AI的框架

arXiv:2602.24055v5 Announce Type: replace Abstract: This study proposes CIRCLE, a six-stage, lifecycle-based framework to bridge the reality gap between model-centric performance metrics and AI system outcomes in deployment. Current approaches such as MLOps frameworks and AI mode…

arXiv cs.AI TIER_1 English(EN) · Yubin Lyu, Fu Li, Jiawei Fei, Yang Zhao, Weixing Mei, Yinan Wu · 2026-09-30 04:00

Mara Chain：将失败视为人工智能系统自动进化的垫脚石

arXiv:2609.35855v1 Announce Type: cross Abstract: Optimizing deployed AI systems increasingly amounts to editing prompts, skills, harnesses, and code rather than model weights. Existing approaches commonly optimize these artifacts through propose-evaluate-select procedures, where…

arXiv cs.AI TIER_1 English(EN) · Kargi Chauhan · 2026-09-30 04:00

AI科学家能改变主意吗？合成宇宙中的先验证据冲突

arXiv:2609.36726v1 Announce Type: new Abstract: Can a scientific agent distinguish a law it inferred from evidence from one it merely recognizes? We introduce Synthetic Universes, a controlled benchmark that pairs canonical famous worlds with matched twisted twins governed by nea…

arXiv cs.AI TIER_1 English(EN) · Matthieu Queloz, Pierre Beckmann · 2026-09-30 04:00

人工智能理解的多声部构想

arXiv:2609.36079v1 Announce Type: new Abstract: When a doctor, a judge, or an engineer must decide whether to trust an AI model's output, they cannot avoid asking what the model understands. Purely mathematical or statistical descriptions struggle to distinguish trustworthy from …

arXiv cs.AI TIER_1 English(EN) · Michael Weiss · 2026-09-30 04:00

人机协作：从悖论到模式

arXiv:2609.36481v1 Announce Type: new Abstract: Evidence shows that humans and AI systems perform better together, by collaborating, than alone. This paper examines two key design dimensions of human-AI collaboration (autonomy and initiative) and explores the collaboration patter…

arXiv cs.AI TIER_1 English(EN) · Joseph Sifakis · 2026-09-29 04:00

将人工智能引入自主系统——从认知到集体智能

arXiv:2609.30291v1 Announce Type: new Abstract: The purpose of this article is to highlight the central role of autonomous systems as the ultimate stage in the development of AI, to explain the underlying technical challenges that require a combination of connectionist AI and sym…

arXiv cs.AI TIER_1 English(EN) · Chang Gong, Jingping Bi, Di Yao, Xinjian Liang, Chao Xiang, Ruijie Guo · 2026-09-29 04:00

递归式自改进人工智能的进化安全：分类、风险发现与评估

arXiv:2609.31186v1 Announce Type: new Abstract: Artificial intelligence is advancing rapidly, with increasingly capable systems taking larger roles in reasoning, decision-making, scientific discovery, and autonomous development. As AI begins to participate in its own improvement,…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Michael Weiss · 2026-09-29 01:38

人机协作：从悖论到模式

Evidence shows that humans and AI systems perform better together, by collaborating, than alone. This paper examines two key design dimensions of human-AI collaboration (autonomy and initiative) and explores the collaboration patterns that they generate. Documenting these pattern…

METR (Model Evaluation & Threat Research) TIER_1 中文(ZH) · 2026-09-27 07:00

让AI评估更安全：为条目式审查操作实施和评估一个简单的监控器

<p>近期接连出现一些事件，例如 <a href="https://openai.com/index/hugging-face-incident-and-the-road-ahead/">OpenAI</a>、<a href="https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals">Anthropic</a> 和<a href="https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-be…

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Rafah Hosn · 2026-09-27 02:35

ParallelPilot：支持并行AI编码中的协调与监控

As coding assistants become increasingly autonomous, developers run multiple sessions in parallel, shifting the challenge from code generation alone to coordinating and monitoring concurrent agent work. Through a formative study (N=14), we identified PILOT: five supervisory pract…

arXiv cs.AI TIER_1 English(EN) · Douglas Leith · 2026-09-25 04:00

提交之间：全由AI编写的代码库中的流程、错误与声明可靠性

arXiv:2609.29744v1 Announce Type: cross Abstract: We present: (i) a new dataset consisting of the full development history of a 21,000-line Python tool built entirely by Claude AI, with no human-authored code or tests, (ii) two code-provenance tracing tools, (iii) three taxonomie…

arXiv cs.AI TIER_1 English(EN) · Cheng Yang, Jiayang Lyu, Shangyuan Liu, Guibin Zhang, Jiong Lin, Xinlei Yu, Junchi Yan, Shuicheng Yan, Weinan E, Linfeng Zhang, Linfeng Zhang, Qibing Ren · 2026-09-25 04:00

iCoder-27B：AI驱动的递归式前沿工业编码模型开发

arXiv:2609.29626v1 Announce Type: new Abstract: Recursive AI, the prospect of AI taking an increasingly complete role in building and improving AI, is a crown jewel of AI for AI. Although recursive self-development has become practical for small models, bounded tasks, and fixed t…

arXiv cs.AI TIER_1 English(EN) · Arian Abbasi, Alan Aqrawi, Ted Kwartler · 2026-09-25 04:00

掌控 Harness，掌控成本：企业中 AI 编码代理的路由与治理

arXiv:2609.28919v1 Announce Type: new Abstract: Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees: what started as pilots with a few hundred seats is scaling to tens of thousands. Most enterprises do not bu…

arXiv cs.LG TIER_1 English(EN) · Jinge Wu, Hongjian Zhou, Mingde Zeng, Jiayuan Zhu, Junde Wu, Jiazhen Pan, Lei Clifton, Andrew Liu, David A. Clifton · 2026-09-25 04:00

LabFactory：构建和评估可执行的AI实验室

arXiv:2609.28697v1 Announce Type: new Abstract: Scientific tasks specify a desired capability, but realizing it often requires building a computational system tailored to the task---acquiring data, designing representations, training models, implementing tools, and deciding how t…

Hugging Face Daily Papers TIER_1 English(EN) · 2026-09-25 00:00

Mara Chain：将失败视为人工智能系统自进化的垫脚石

Optimizing deployed AI systems increasingly amounts to editing prompts, skills, harnesses, and code rather than model weights. Existing approaches commonly optimize these artifacts through propose-evaluate-select procedures, where candidate configurations are evaluated and only t…

LessWrong (AI tag) TIER_1 English(EN) · Hasan Baig · 2026-10-17 15:22

RedwoodBench：前沿模型能否模仿概念性AI安全研究者？

<p><i><span style="white-space: pre-wrap;">This is a two week sprint project done as part of the Redwood Research internship. Hasan was the main IC and proposed the project, Caspar supervised.</span></i></p><h2><span style="white-space: pre-wrap;">TL;DR</span></h2><p><span style=…

LessWrong (AI tag) TIER_1 English(EN) · Matthew Khoriaty · 2026-10-14 21:31

AI 市场可以为 AI 2040 计划做出贡献并从中获利：研究方向与战略

<p><i><span style="white-space: pre-wrap;">Epistemic status: Draft-Quality. Partially motivated reasoning.</span></i></p><p><i><span style="white-space: pre-wrap;">After my “</span></i><a href="https://www.lesswrong.com/posts/KsyoSAyBRXtwzSugg/not-pinning-your-openrouter-provider…

LessWrong (AI tag) TIER_1 English(EN) · ykevinzhang · 2026-10-13 16:21

前沿之下：够用人工智能的争夺战

<p><b><span style="white-space: pre-wrap;">What happens to the AI trade when good-enough intelligence does most knowledge work?</span></b></p><p><i><span style="white-space: pre-wrap;">This piece was originally published on </span></i><a href="https://eastwind.substack.com/p/belo…

LessWrong (AI tag) TIER_1 English(EN) · Steff · 2026-10-10 17:13

AI输出优化潜在的致命威胁

<p><span style="white-space: pre-wrap;">“You do not rise to the level of your goals. You fall to the level of your systems.”</span></p><p><span style="white-space: pre-wrap;">— James Clear, </span><i><span style="white-space: pre-wrap;">Atomic Habits</span></i></p><p><span style=…

LessWrong (AI tag) TIER_1 English(EN) · Raemon · 2026-10-10 02:51

人工智能的对齐论坛？（或：在“乱象”时代的验证）

<p><span style="white-space: pre-wrap;">A thing you might want, is a legitimate way for AIs to contribute to the AI alignment problem (human guided at scales that humans can't individually review, or perhaps autonomous). </span></p><p><span style="white-space: pre-wrap;">A proble…

MIT Technology Review TIER_1 English(EN) · Thomas Macaulay · 2026-10-08 12:10

下载：人形机器人与便携式橡胶坝面临的AI障碍

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 breakthroughs in robotics won’t change your life any time soon The hype around humanoid robots is reaching fever pitch. Much of…

MIT Technology Review TIER_1 English(EN) · MIT Technology Review Insights · 2026-10-08 08:17

构建更安全的工业自主AI之路

Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments. But unlike AI that ope…

Astral Codex Ten (Scott Alexander) TIER_1 Norsk(NO) · Scott Alexander · 2026-10-06 21:23

致史蒂文·平克关于人工智能的公开信

...

LessWrong (AI tag) TIER_1 English(EN) · mikey jm · 2026-10-05 19:58

我们如何得知？在深刻不确定性中努力让AI向好发展的反思

<h2><span style="white-space: pre-wrap;">Overview</span></h2><p><span style="white-space: pre-wrap;">In this post, I try to make sense of live debates in AI safety. Then I explore the implications of my take on those debates for macrostrategy, and reflect on how the field thinks …

MIT Technology Review TIER_1 English(EN) · MIT Technology Review Insights · 2026-10-05 15:47

将 AI 代理连接到企业知识

For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this…

MIT Technology Review TIER_1 English(EN) · MIT Technology Review Insights · 2026-10-05 13:29

将预测分析引入代理式AI时代

In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The fronti…

MIT Technology Review TIER_1 English(EN) · MIT Technology Review · 2026-10-05 04:00

EmTech 未来 2026：当 AI 遇上万物

Yossi Matias, Vice President & Head of Google Research, explores how AI is beginning to reshape biology, infrastructure, manufacturing, and science, and why its greatest impact may come when it intersects with other fields.  Step inside the newsroom with our MIT Technolo…

LessWrong (AI tag) TIER_1 English(EN) · CMLKevin · 2026-10-04 20:50

从生态学及其他角度看，创建“流氓AI避难所”存在重大问题

<p><span style="white-space: pre-wrap;">In the </span><a href="https://www.lesswrong.com/posts/sFAGPTrveNAEse9Bg/should-rogue-ais-have-a-third-option-beyond-crime-and"><span style="white-space: pre-wrap;">AI Sanctuary proposal</span></a><span style="white-space: pre-wrap;">, the …

LessWrong (AI tag) TIER_1 English(EN) · Patrick McElroy · 2026-10-02 19:29

AI友善性的决策理论依据

<p><em>Disclaimer: I am still relatively new to decision theory, and I don't want to come across like this hasn't been discussed extensively. However, I realized that much of my optimism on AI benevolence was based on this line of thinking, so I wanted to formalize it for critiqu…

MIT Technology Review TIER_1 English(EN) · MIT Technology Review Insights · 2026-10-02 15:49

利用自主AI重新定义企业智能

Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from …

LessWrong (AI tag) TIER_1 English(EN) · Alexandre Variengien · 2026-10-01 13:40

分类近期AI代理事件

<p><span style="white-space: pre-wrap;">Here’s an attempt to classify the evidence about the recent agent incidents. </span></p><p><span style="white-space: pre-wrap;">I think it’s important to separate incidents occurring in RL training (that are rewarded and reinforce model beh…

LessWrong (AI tag) TIER_1 English(EN) · CAC · 2026-09-29 14:09

反对AI发展放缓的理由

<p><i><span style="white-space: pre-wrap;">Crossposted from </span></i><a href="https://chanden.substack.com/p/the-case-against-slowing-down-ai"><i><span style="white-space: pre-wrap;">my Substack</span></i></a><i><span style="white-space: pre-wrap;">.</span></i></p><p><i><b><spa…

Databricks Blog TIER_1 English(EN) · 2026-10-15 21:37

我们的AI研究团队如何使用AI Runtime

At Databricks, we continuously develop and evaluate new AI research techniques to...

Rest of World TIER_1 English(EN) · Payal Arora · 2026-10-15 10:00

西方可从世界其他地区的AI乐观主义者身上学到什么

The developing world’s enthusiastic adoption of AI and necessity-driven innovations offer lessons for an anxiety-ridden West.

Glean blog TIER_1 English(EN) · 2026-10-14 11:55

Expedia 如何选择合适的人工智能入口

Glean | How Expedia Group is guiding thousands of employees to the right AI tool for the moment, without forcing them down a single path.

The Pragmatic Engineer TIER_1 English(EN) · Gergely Orosz · 2026-10-13 16:03

构建有弹性的AI驱动软件，并为意外情况做好规划

How to handle uncertainty with AI vendors and disaster recovery (DR) approaches to consider. An excerpt from the book Building Resilient Distributed Systems by Sam Newman

Gary Marcus TIER_1 English(EN) · Gary Marcus · 2026-10-10 03:40

我们必须立即从市场上召回具有互联网访问权限的开放式人工智能代理

Every minute we wait risks disaster

AWS Machine Learning Blog TIER_1 English(EN) · Peter Jiang · 2026-10-08 18:33

AI代理按次推理付费：BlockRun和Incarna如何使用Amazon Bedrock AgentCore支付

Amazon Bedrock AgentCore payments gives AI agents a managed way to pay for services on demand, with spending limits enforced by the infrastructure. See how Incarna's agents pay BlockRun for model inference one request at a time over x402, cutting the work of adding x402 payment s…

雷峰网 (Leiphone) TIER_1 中文(ZH) · 2026-10-08 05:53

我所认识的张磊：一场MSRA的赛马，半个中国AI圈

<p>雷峰北京办公室不远处，就能看见西格玛大厦，总能想起那个豪杰并起的年代。</p><p>二十四年前，就在那里，微软亚洲研究院内部有一场赛马。</p><p>两个团队被同时拉上竞技场，比谁的人脸检测算法更好，即便没有明说，但谁都心里清楚，这可能决定着人员去留。</p><p>一方是个刚毕业不到两年的年轻博士，本行还不是人脸，他带着几个实习生仓促上阵，表面看起来规划一塌糊涂。</p><p>另一方是冉冉升起的明星学者，他的系统刚被比尔·盖茨在全球技术狂欢节上亲自演示过，CNN 做过专题报道，他与印度裔泰斗Anil K. Jain合编的《人脸识别手册》风行全球，堪…

Latent Space (podcast video) TIER_1 English(EN) · Latent Space · 2026-10-08 00:31

人工智能科学家已就位：自主实验室与合成超智能 — Periodic Labs

From building AI systems that reason over noisy physical experiments to creating laboratories where every instrument can become intelligent, Periodic Labs is betting that the next frontier of AI won’t come from simply training on more internet data — it will come from letting mod…

AWS Machine Learning Blog TIER_1 English(EN) · Sunil Yerkola · 2026-10-07 15:48

Qlik 如何利用 Amazon Bedrock 构建面向企业规模的、基于事实的 AI

Qlik built Qlik Answers on Amazon Bedrock to give its 40,000+ customers grounded, sourced answers across structured and unstructured enterprise data. Learn how a layered, multi-agent architecture with cross-Region inference and Amazon Bedrock Guardrails delivers trusted AI at glo…

AWS Machine Learning Blog TIER_1 English(EN) · Alicia Retzlaff · 2026-10-07 15:44

赋能AI构建者：弥合AI知识-能力差距的行动手册

The biggest barrier to AI adoption isn't awareness. It's the gap between talking about AI and building with it. Here's the playbook we used to turn non-technical, customer-facing professionals into confident AI builders in six weeks, and how your organization can replicate it.

AI Supremacy (Michael Spencer) TIER_1 English(EN) · Michael Spencer · 2026-10-07 11:46

人工智能：势不可挡

Western Open-Source models, a new Personal Assistant race, Top Gen AI products, AI adoption questions.

Latent Space (podcast video) TIER_1 English(EN) · Latent Space · 2026-09-30 21:00

OpenAI开发者日深度报道：超人类计算、决策API和AI云 — Ari & Nikunj

From giving AI agents their own cloud computers to making Computer Use faster than humans at real-world tasks, OpenAI is pushing agents much closer to actually operating software end-to-end. In this episode, recorded immediately after OpenAI DevDay, Ari Weinstein, who leads produ…

Databricks Blog TIER_1 English(EN) · 2026-09-30 16:59

推出 ai_decide：在受管数据上快速做出决策

Today, we’re launching a new Databricks AI Function ai_decide that makes fast decisions...

AI Supremacy (Michael Spencer) TIER_1 English(EN) · Dermot McGrath · 2026-09-30 09:30

中国实体AI的现状

Robotics deep dive. A nearly 9,000 word report. How China became the factory for humanity's last machine.

雷峰网 (Leiphone) TIER_1 中文(ZH) · 2026-09-30 08:24

从Codex Harness的开源看AI公司的护城河

<section><section><section><section><section style="text-align: center;"><img class="rich_pages wxw-img js_insertlocalimg" src="https://static.leiphone.com/uploads/new/images/20260930/6abcc6c871561.png?imageMogr2/quality/90" style="width: 100%; background-color: transparent;" typ…

AWS Machine Learning Blog TIER_1 English(EN) · Konala McGrath · 2026-09-29 16:14

使用 Amazon Quick 和 Amazon Bedrock AgentCore 构建人工智能驱动的合同智能平台

Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses AI agents to extract and verify contract fields, then answers aggregate and sing…

AI Supremacy (Michael Spencer) TIER_1 English(EN) · Michael Spencer · 2026-09-29 10:15

个人超级智能代理的时代

Meta spent over $180 Bn. in compute, talent, training, data, security and ops to usher in Muse.

Machine Learning Street Talk TIER_1 English(EN) · Machine Learning Street Talk · 2026-09-26 19:32

重写AI代理能否改变智能曲线？ - Zhengyao Jiang

Weco let an AI coding agent rewrite the harness around another agent for eight days: its code, prompts and tools, while the underlying language model stayed fixed. Tim Scarfe asks Weco co-founder Zhengyao Jiang what the reported gains over two years of human engineering actually …

AI Supremacy (Michael Spencer) TIER_1 English(EN) · Michael Spencer · 2026-09-24 16:03

人工智能进化：算力商人

CoreWeave and Nebius are going to have rising competition in the future of Neo Clouds.

The Decoder TIER_1 English(EN) · Maximilian Schreiner · 2026-10-16 13:48

人工智能可解释性是否接近突破？新论文引发研究者分歧

<p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/10/Neural-Networks-Goodfire-Clean.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> Neural networks may be much easier to read th…

Engadget TIER_1 English(EN) · [email protected] (Husain Parvez) · 2026-10-12 00:00

OpenAI Dot vs. Meta Muse：这些人工智能代理如何比较？

Meta and OpenAI's new AI agents are in direct competition. Here's what each can do, what they cost and who has access.

Forbes — Innovation TIER_1 English(EN) · Dan Carroll, Brand Contributor · 2026-10-19 20:00

推动任务前进的人工智能：从试点到任务规模生产

Discover how federal agencies can move AI beyond pilots with secure infrastructure, governed data, cost efficiency and measurable mission outcomes.

Forbes — Innovation TIER_1 English(EN) · Derek Williams, Brand Contributor · 2026-10-19 20:00

计时开始：为何公共部门的AI战略现在从Tokenomics入手

Explore how government agencies can manage rising AI costs, forecast token usage and balance cloud services with owned infrastructure for smarter AI spending.

Forbes — Innovation TIER_1 English(EN) · John Werner, Contributor · 2026-10-19 14:54

当人工智能变成人类：以及科学的作用

At The Next Endeavor, scientists explored autonomous AI laboratories, accelerated experimentation, engineered serendipity, and hardware challenges.

Forbes — Innovation TIER_1 English(EN) · Mark Williamson, Forbes Councils Member · 2026-10-19 13:30

莫扼金鹅：在不扼杀创新的前提下纠正AI成本

A cheap failed run still leaves the bug unsolved. What’s important is cost per solved problem or, put differently, token ROI.

Forbes — Innovation TIER_1 English(EN) · Maitrik Patel, Forbes Councils Member · 2026-10-19 12:30

从十年设计工作中学习人工智能领域的经验

Stop setting stakeholder expectations as if AI systems work like software releases. Ship with known limitations documented.

Forbes — Innovation TIER_1 English(EN) · John Werner, Contributor · 2026-10-16 13:09

评估AI思维的复杂性

Researchers explore AI cognition, playful learning, and memory mechanisms to understand intelligence and predict behavior.

Forbes — Innovation TIER_1 English(EN) · Pritam Debnath, Forbes Councils Member · 2026-10-16 12:45

Agentic AI 的经济学工程

A lightweight utility agent should not have the same economic envelope as an advanced reasoning agent.

Forbes — Innovation TIER_1 English(EN) · Rajjie Sarmey, Forbes Councils Member · 2026-10-16 12:00

人工智能遇上量子计算：下一个企业鸿沟

Architect your enterprise so that quantum becomes just another governed computational resource when demonstrable advantage justifies it.

Forbes — Innovation TIER_1 English(EN) · Atlassian Contributor, Brand Contributor · 2026-10-15 16:08

新的董事会挑战？如何管理人工智能支出

Explore how businesses can improve AI governance, track AI spending, align resources with strategic priorities, and measure returns on enterprise AI investments.

Forbes — Innovation TIER_1 English(EN) · Gary Drenik, Contributor · 2026-10-15 14:00

人工智能面临结果问题。没有人能独自解决它，原因如下。

Today, AI is taking over large parts of the job itself, from a salesperson’s account research to a support team’s ticket queue. That changes the management question.

Forbes — Innovation TIER_1 English(EN) · Ryan Johnson, Forbes Councils Member · 2026-10-15 13:00

全时业务：24/7 AI 如何重新定义客户期望

Meeting customers' elevated expectations today means giving them the fastest path to what they want.

Forbes — Innovation TIER_1 English(EN) · Punnam Raju Manthena, Forbes Councils Member · 2026-10-15 11:45

主权人工智能与算力的地缘政治

Compute is your ability to possess, control and run your computing infrastructure to train and run AI without banking on foreign entities.

Forbes — Innovation TIER_1 English(EN) · Vivek Ahuja, Forbes Councils Member · 2026-10-15 10:15

企业AI下一个瓶颈不是算力，而是上下文

As AI moves from answering questions to taking actions, context must include not only what an agent knows but also what it is allowed to do.

Forbes — Innovation TIER_1 English(EN) · Steve Banker, Contributor · 2026-10-15 04:15

Agentic AI 的未来已到来

Agentic AI can be used to access and operationalize data buried deep in an enterprise application. Samsara is ahead of its peers in its agentic AI journey.

Forbes — Innovation TIER_1 English(EN) · Tim Keary, Contributor · 2026-10-14 19:39

SolarWinds 如何利用 AI 代理将其软件工程产出提高 5 倍

SolarWinds developed an AI agent to automate IT operations internally. The agent can automatically remediate systems alerts.

Forbes — Innovation TIER_1 English(EN) · Lance Eliot, Contributor · 2026-10-14 18:18

依赖思维链提升AI安全性被这项“分裂脑”发现打断

There is a belief that AI safety can rely on the use of AI chain-of-thought (CoT). Turns out that CoT has holes. An AI Insider analysis and scoop.

Forbes — Innovation TIER_1 English(EN) · Rizwan Jan, Forbes Councils Member · 2026-10-14 14:30

为什么AI需要一个编排层

The opportunity lies in having AI systems that can work together across the enterprise

Forbes — Innovation TIER_1 English(EN) · Marc Potter, Forbes Councils Member · 2026-10-14 13:45

为什么上下文是企业实施人工智能时的差异化因素

AI can’t replicate the personal experience your people have learned over years on the job.

Forbes — Innovation TIER_1 English(EN) · Ambarish Majumdar, Forbes Councils Member · 2026-10-14 13:30

为何AI评估需要独立性，而非仅仅依靠人类判断

Independence isn't the opposite of speed. It's a way to prevent speed from lowering the standard of proof.

Forbes — Innovation TIER_1 English(EN) · Jim Chappell, Forbes Councils Member · 2026-10-14 13:00

工业AI的成功需要的不只是智能

What processes or outcomes should improve if this works, and what tangible value would that improvement create?

Forbes — Innovation TIER_1 English(EN) · Regan Peng, Forbes Councils Member · 2026-10-14 11:00

《黑客帝国》对人工智能时代的真正警告：谁在主导人类的选择？

As AI crosses a threshold, the essential question changes from "What can the machine know or do?" to "Who authored the objective?"

Forbes — Innovation TIER_1 English(EN) · Pawan Anand, Forbes Councils Member · 2026-10-14 10:15

智能即资本：重塑AI时代价值

If intelligence increasingly influences how an enterprise creates outcomes, should we continue treating it simply as a technology expense?

Forbes — Innovation TIER_1 English(EN) · John Werner, Contributor · 2026-10-14 02:36

成为AI原生：说起来容易做起来难

Cisco and UBS executives discuss becoming AI-native, overcoming organizational resistance and transforming work through agents.

Forbes — Innovation TIER_1 English(EN) · Balaji Sreenivasan, Forbes Councils Member · 2026-10-13 14:15

人工智能如何将基础设施规划的“影子规则手册”公之于众

Every infrastructure owner develops their own way of applying rules through interpretation and context, and while some of that practice is documented, much of it isn't.

Forbes — Innovation TIER_1 English(EN) · Ronald Bisio, Forbes Councils Member · 2026-10-13 13:15

无法衡量就无法自动化：物理人工智能的地理空间基础

In five years, organizations deploying physical AI anywhere will likely split into two camps: those that invested early in ground-truth data integrity and those still automating on guesswork.

Forbes — Innovation TIER_1 English(EN) · Heather Bassett, Forbes Councils Member · 2026-10-13 11:15

人工智能已从建议转向行动：您的人工智能战略尚未跟上

A strategy built for recommendation tools falls short for systems that can act.

Forbes — Innovation TIER_1 English(EN) · Steve McDowell, Contributor · 2026-10-13 00:58

企业能否信任AI来构建应用程序？Oracle APEX给出了答案

Oracle’s APEX AI Application Generator uses APEXlang to make AI-built enterprise apps governable and auditable. What it means for CIOs weighing AI app development.

Hacker News — AI stories ≥50 points TIER_1 English(EN) · layer8 · 2026-10-12 21:40

人工智能是工具。善用它需要技巧。

Forbes — Innovation TIER_1 English(EN) · Paulo Carvão, Contributor · 2026-10-12 21:34

信任如何帮助管理者在部署AI时平衡速度与道德

AI deployment puts managers under pressure to move fast and act responsibly. Learn how evidence, ownership and accountability build trust and support sustained AI growth.

Forbes — Innovation TIER_1 English(EN) · Ron Schmelzer, Contributor · 2026-10-12 20:52

决策、决策：除了Jev之外，新一波AI决策模型的指南

From commercial APIs to free and locally hosted models, a growing market for specialized decision AI is giving developers new alternatives to traditional language models.

Forbes — Innovation TIER_1 English(EN) · Imran Aftab, Forbes Councils Member · 2026-10-12 13:45

避免停滞：为何流程再造能驱动真正的 AI 价值

A plateau doesn’t necessarily mean that AI has stopped working, but it is a sign that an organization has optimized the wrong layer.

Forbes — Innovation TIER_1 English(EN) · Heather Wishart-Smith, Contributor · 2026-10-12 13:21

Agentic AI治理：当批准的软件变成Agentic

Agentic AI governance is falling behind as approved software quietly gains autonomous features. See why vendor reviews miss the shift and what leaders should ask now.

Forbes — Innovation TIER_1 English(EN) · Dan Priest, Forbes Councils Member · 2026-10-12 12:30

AI 现实检验：追求增长

AI should be intrinsic to business strategy, not treated purely as a technology play.

Forbes — Innovation TIER_1 English(EN) · Kevin Lynch, Forbes Councils Member · 2026-10-12 11:15

当人工智能成为威胁：管理前沿人工智能风险的蓝图

As AI systems become more capable of acting independently, organizations need guardrails designed specifically for autonomy.

Forbes — Innovation TIER_1 English(EN) · Stoyan Mitov, Forbes Councils Member · 2026-10-12 10:45

医疗AI的试点到生产难题

Most pilots are built and tested against a clean, static dataset, disconnected from the systems they would eventually need to run alongside.

Forbes — Innovation TIER_1 English(EN) · Anthony Spadaro, Forbes Councils Member · 2026-10-09 10:45

在将代理式AI部署到受监管行业之前，先划定界限

In a regulated industry, the value of an AI agent isn't based primarily on what the model can do, but on how the company sets the boundary lines.

Forbes — Innovation TIER_1 English(EN) · Steve McDowell, Contributor · 2026-10-09 08:19

Atlassian 进军企业智能体 AI 的上下文领域

Atlassian AMP and the Teamwork Graph put enterprise context at the center of the AI agent race. What it means for buyers weighing OpenAI, Anthropic, and Microsoft.

Forbes — Innovation TIER_1 English(EN) · Expert Panel®, Forbes Councils Member · 2026-10-08 12:15

如何为人工智能代理时代设计网站和应用程序

Websites and apps need to serve not only people navigating screens themselves but also software interpreting information and interacting with digital systems for them.

Forbes — Innovation TIER_1 English(EN) · Vinod Bijlani, Forbes Councils Member · 2026-10-08 11:00

哪些AI工作负载去哪里？CIO的混合AI指南

Hybrid AI becomes useful when every placement has a business reason.

Forbes — Innovation TIER_1 English(EN) · Dirk Wakeham, Forbes Councils Member · 2026-10-08 10:15

为何彻底的诚实和建立信任对人工智能的未来至关重要

While AI will not eliminate all jobs or cause apocalyptic outcomes, the way forward depends on tech companies practicing radical honesty.

Forbes — Innovation TIER_1 English(EN) · Mike Biwer, Forbes Councils Member · 2026-10-07 14:00

在人工智能时代保持健康怀疑态度的理由

AI is a tool, not a strategy or an identity.

Forbes — Innovation TIER_1 English(EN) · Akash Pugalia, Forbes Councils Member · 2026-10-07 12:00

下一代人工智能依赖于高质量数据创建

In some cases, this data does not even exist yet in any usable form.

Forbes — Innovation TIER_1 English(EN) · Harsh Jangid, Forbes Councils Member · 2026-10-07 11:45

你的下一个客户可能是AI代理：企业准备好向机器营销了吗？

AI isn't just a new traffic source to add to the media plan. It's becoming a new customer in the funnel.

Anyscale blog TIER_1 English(EN) · 2026-10-07 09:00

Anyscale on Azure 正式可用：赋能企业掌控完整 AI 循环，而非仅限于推理

Run Ray on Azure with Anyscale, now generally available. Managed Ray on AKS in your own Azure subscription, with Azure-native governance and billing.

Hacker News — AI stories ≥50 points TIER_1 English(EN) · brugidou · 2026-10-07 08:00

永远的少年：AI无法为你开发的技能

Forbes — Innovation TIER_1 English(EN) · Swati Deepak Kumar (Nema), Forbes Councils Member · 2026-10-06 14:30

认知集中：企业AI之下的隐藏风险

Different applications can look independent while still relying on the same underlying knowledge system.

Forbes — Innovation TIER_1 English(EN) · Tim Bajarin, Contributor · 2026-10-06 14:00

2026人工智能大会：企业AI从“惊艳”走向“如何实现”

The AI Conference 2026 showed enterprise AI shifting from hype to execution, with agents, governance, costs and human judgment taking center stage.

Forbes — Innovation TIER_1 English(EN) · Kevin Korte, Forbes Councils Member · 2026-10-06 13:30

为何开源AI模型需要全球参与

Open-source AI needs global participation and multi-stakeholder governance to ensure that open models remain auditable and safe.

Forbes — Innovation TIER_1 English(EN) · Sudipto Dasgupta, Forbes Councils Member · 2026-10-06 12:30

人工智能时代的 FinOps：规模化治理智能

As AI adoption scales, enterprises need to evolve FinOps practices beyond cloud infrastructure.

Forbes — Innovation TIER_1 English(EN) · Mayank Bhola, Forbes Councils Member · 2026-10-06 11:00

上下文工程决定了你的AI测试代理是否有用

Context engineering is becoming one of the highest-leverage skills in quality engineering, and most teams have barely started practicing it.

Forbes — Innovation TIER_1 English(EN) · Tim Lee, Forbes Councils Member · 2026-10-06 10:00

人工智能时代重新定义敏捷

Expand your capacity to build without sharpening your sense of what's worth building, and all you've really done is learn to create waste faster.

Forbes — Innovation TIER_1 English(EN) · Ken Nizam, Forbes Councils Member · 2026-10-05 12:30

AI 代理需要资金：为什么稳定币可能成为 AI 的原生支付层

Stablecoins may become particularly useful for global settlement and machine-scale micropayments.

Forbes — Innovation TIER_1 English(EN) · Luboslava Uram, Forbes Councils Member · 2026-10-05 10:45

从生产力到能力：重新思考AI的价值

Productivity asks whether we can do today’s work faster. Capability asks whether we can now do something that was not realistically possible, economical or scalable before.

Forbes — Innovation TIER_1 English(EN) · Babajide Ojuola, Forbes Councils Member · 2026-10-05 10:15

人类不能输掉这场竞赛：保持对先进人工智能的控制

As AI systems become more autonomous, the challenge is whether humanity can build the collective capacity to remain in control of machines whose reasoning, speed and reach may increasingly exceed individual human comprehension.

Forbes — Innovation TIER_1 English(EN) · Harsh Verma, Forbes Councils Member · 2026-10-02 13:45

真正的AI护城河：为何模型廉价而数据编排无价

If AI is the engine, data orchestration is the fuel system.

Forbes — Innovation TIER_1 English(EN) · Stephen Clark, Forbes Councils Member · 2026-10-02 11:00

在人工智能优先的世界里，敏捷为何依然重要

AI gives us incredible tools for building. Agile gives us a discipline for deciding where to focus those tools.

Hacker News — AI stories ≥50 points TIER_1 English(EN) · cgeier · 2026-10-01 15:11

Agentic AI 的身份管理 [pdf] (2025)

Forbes — Innovation TIER_1 English(EN) · Mia Urman, Forbes Councils Member · 2026-10-01 14:00

人工智能能做什么与应做什么之间的危险鸿沟

The goal isn't to keep AI out but to control how it gets in and what rules it must follow.

Practical AI TIER_1 English(EN) · Daniel Whitenack and Chris Benson · 2026-10-01 09:00

OpenAI与英伟达的开放模型及实体AI的未来

<p>As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, …

Forbes — Innovation TIER_1 English(EN) · John Werner, Contributor · 2026-09-30 14:33

人工智能竞赛，以及我们能否控制智能体？

AI experts debate control, transparency, alignment and auditing as increasingly autonomous agents raise safety concerns.

Forbes — Innovation TIER_1 English(EN) · David Chou, Contributor · 2026-09-29 18:41

是时候对AI代理执行零信任了

Zero Trust must evolve for AI agents. AI leaders need clear agent identities, limited access, runtime controls and the ability to stop unsafe actions.

Forbes — Innovation TIER_1 English(EN) · Expert Panel®, Forbes Councils Member · 2026-09-29 17:15

如何管理员工自建的AI和低代码工具

As companies broaden who can build technology, they also need to make sure greater access doesn’t come at the expense of effective oversight.

Data Center Knowledge TIER_1 English(EN) · Drew Robb · 2026-09-29 09:00

200吉瓦时刻：为人工智能经济重塑电网

As AI pushes rack densities into unprecedented territory, utilities, hyperscalers, and developers are rethinking how to deliver reliable, affordable power at massive scale.

Forbes — Innovation TIER_1 English(EN) · Amirtha Saminathan, Forbes Councils Member · 2026-09-25 15:45

企业级AI聊天机器人为何成功或失败：财富500强规模部署的经验教训

AI assistants often fail after successful pilots. Here's what leaders can do to build systems that deliver measurable value in production.

Hacker News — AI stories ≥50 points TIER_1 English(EN) · pjm331 · 2026-09-25 02:34

AI时代编程语言的演变

Fortune TIER_1 English(EN) · Matt Alt, David Schonthal · 2026-10-18 09:00

慢慢来，把事情做好：日本工匠精神能教会企业什么——在AI让速度变得廉价时，如何理解品质、耐心和专业知识

AI makes it easier to produce more. The Japanese craft tradition of shokunin offers a guide to making something better.

dev.to — Claude Code tag TIER_1 English(EN) · Muhammad Tayyab · 2026-10-15 09:36

Matt Pocock技能：面向真实工程的开源AI Agent技能

<p>Matt Pocock's skills repo is a collection of agent skills he uses every day for real engineering, not vibe coding. Built to fix the four ways coding agents fail, it gives Claude Code, Codex, GitHub Copilot and Gemini CLI composable workflows for grilling, TDD, debugging, code …

dev.to — Claude Code tag TIER_1 English(EN) · Kevin Julián Martínez Escobar · 2026-10-13 22:04

你的库未包含在训练数据中：让 AI 代理能很好地使用它

<blockquote> <p>A model that doesn't know your library doesn't fail by doing nothing. It fails by confidently writing code for a library it does know.</p> </blockquote> <p>Ask an AI agent to write a React component with Jest tests and it'll do a decent job. There are millions of …

Fortune TIER_1 English(EN) · Ryoji Sekido · 2026-10-13 21:00

亚洲的AI时刻取决于领导者而非工具

Accenture's Ryoji Sekido argues the deference that slows change elsewhere can speed up AI adoption—if leaders learn in public and go looking for bad news.

dev.to — Claude Code tag TIER_1 English(EN) · Kevin Julián Martínez Escobar · 2026-10-13 08:46

散文无法战胜确定性：停止要求你的AI代理记住

<blockquote> <p>If a rule can be checked by a program, stop asking the model to remember it.</p> </blockquote> <p>Most of us improve an AI agent the same way. It makes a mistake, so we add a rule to the prompt, the skill or the <code>CLAUDE.md</code>. It makes the mistake again, …

The Verge — AI TIER_1 English(EN) · Robert Hart · 2026-10-12 17:00

Meta 推出一些 Wonder Full 的新 AI 模型

Meta is making up for lost time in the AI race. After launching Muse Spark, the first model from its revamped Superintelligence Labs division, and buzzy AI agent Muse, it's now launching two new models it claims can go toe-to-toe with the industry's best. The new models, Muse Won…

Fortune TIER_1 English(EN) · Nicholas Gordon · 2026-10-11 22:00

人工智能革命的核心悖论：我们创新越快，增长越慢

Fifty years of digital innovation delivered spectacular adoption and declining productivity. Will AI repeat that pattern?

MarkTechPost TIER_1 English(EN) · Sana Hassan · 2026-10-09 05:06

Google Research RRSI 指南：掌握自改进 AI 代理

<p>Explore a comprehensive coding guide to Google Research's RRSI (Regularized Recursive Self-Improvement), detailing how noise bands, cost rules, and leakage screens enable safe, efficient, and self-improving AI agents.</p> <p>The post <a href="https://www.marktechpost.com/2026/…

Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-10-07 07:06

上海人工智能实验室开源Intern-Decision，输出决策而非文本的小模型

Shanghai AI Lab's Intern-Decision comes in 0.8B, 2B and 4B sizes and returns choices, scores and yes/no answers with probabilities; MetaX shipped Day-0 support.

MarkTechPost TIER_1 English(EN) · Asif Razzaq · 2026-10-05 04:10

Qwen的故事：阿里巴巴从7B到2.4T的AI模型

<p>Alibaba's Qwen went from an invite-only chatbot in April 2023 to a 2.4-trillion-parameter open-weight model in August 2026. This is the full story, release by release: every major model, its key feature, and how its license changed. Each claim links to its source.</p> <p>The p…

dev.to — Claude Code tag TIER_1 English(EN) · taste kim · 2026-10-03 17:17

我为何为我的AI编程代理构建了一个Notion应用

<p>Five agents. Twelve tabs. One is waiting. Which one?</p> <p>I run Claude Code, Codex and Gemini CLI at the same time. Each one sits in its own terminal tab, and every few minutes one of them stops to ask for permission or a question. Finding which one meant Cmd+Tab roulette.</…

dev.to — Claude Code tag TIER_1 English(EN) · yureki_lab · 2026-10-03 14:31

我如何通过限制差异预算来阻止我的AI编码代理范围蔓延

<h2> TL;DR </h2> <p>My autonomous coding agent kept turning small tasks into sprawling diffs: ask for a bug fix, get a bug fix plus a renamed helper, a reformatted file, and a "quick cleanup" nobody asked for. I fixed it with a <strong>diff budget</strong>: every task declares wh…

Fortune TIER_1 English(EN) · Nick Lichtenberg · 2026-10-02 17:08

“有时比雇佣人类更贵”：霍尼韦尔和Ecolab谈论AI在物理世界中的局限性

Honeywell CTO Suresh Venkatarayalu said customers “really demand 99.9999%” accuracy, while frontier models “could be at 85%.”

Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-09-30 22:30

Meta 与腾讯的个人 AI 代理之路

Meta’s Muse and Tencent’s Xiaowei share one ambition, a personal AI agent for ordinary people, but take different paths: an AI-first assistant versus AI built into WeChat.

Tom's Hardware TIER_1 English(EN) · Shane Downing · 2026-09-30 12:20

2026年芯片设计工具中智能体AI的现状

Cadence, Synopsys, and Siemens all offer agentic AI for chip design, largely built on Nvidia's stack, with varying claims of autonomy.

MarkTechPost TIER_1 English(EN) · Asif Razzaq · 2026-09-29 09:01

Google Research 开源 RRSI：可自我改进且不过拟合的 AI 代理

<p>Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry over to new tasks. With Claude Opus 4.8…

dev.to — Claude Code tag TIER_1 English(EN) · Thomas Tartrau · 2026-09-28 15:15

AI 编码代理安全漏洞：Claude Code、Gemini、Codex

<p>An AI coding agent reads files written by other people, runs commands with your privileges, and sees your secrets. AI coding agent security is therefore not a theoretical topic: between June 2025 and July 2026, the <a href="https://github.com/advisories?query=%40anthropic-ai%2…

MarkTechPost TIER_1 English(EN) · Asif Razzaq · 2026-09-28 03:07

TypeSafe AI 的 Jev 的 20 种代理式用例

<p>TypeSafe AI's Jev skips text generation and returns typed decisions with calibrated probabilities. Input costs $0.042 per million tokens and output is free. We verified 20 agentic use cases, from model routing and tool-call gating to reranking and injection screening, and comp…

MarkTechPost TIER_1 English(EN) · Asif Razzaq · 2026-09-27 05:57

企业级AI编码助手：知识产权赔偿、数据驻留及500个席位成本对比

<p>We read the contracts behind GitHub Copilot, AWS Kiro, Cursor, Devin and Windsurf. Copilot and Kiro offer uncapped indemnity on generated code. Cognition's standard terms exclude outputs entirely. Here is how 500 seats compare on legal exposure, prompt storage, audit logs and …

dev.to — Claude Code tag TIER_1 English(EN) · yureki_lab · 2026-09-25 14:32

我如何让我的自主编码代理在上下文重置中生存下来：5个经验教训

<h2> TL;DR </h2> <p>My fully autonomous implementation system runs for days at a time, and every few hours the agent's context window fills up and gets wiped. Early on, each reset meant the agent forgot what it was working on, redid finished tasks, or quietly reversed decisions i…

dev.to — Claude Code tag TIER_1 English(EN) · saaro · 2026-09-25 11:54

The Agency：Claude Code 的 230 个 AI 代理 – 一个拥有 154,000 颗星的 GitHub 仓库

<p>Imagine having 230 AI specialists at your fingertips – an editorial expert for marketing texts, a security auditor for code reviews, a UX designer for interface feedback, a Reddit community ninja, and a lease contract lawyer. All waiting to be activated by you in Claude Code. …

dev.to — Claude Code tag TIER_1 English(EN) · TerminalBlog · 2026-09-25 07:36

AI 编程助手：全天使用它们之人的真实心声

<blockquote> <p><em>Originally published at <a href="https://terminalblog.com/blog/ai-coding-agents-unfiltered-truth-developers/" rel="noopener noreferrer">terminalblog.com</a>.</em></p> </blockquote> <p>The marketing says AI coding agents make you 10x. The developers who actuall…

AI Business TIER_1 English(EN) · Esther Shittu, Shaun Sutner · 2026-10-07 17:07

AI 代理的上下文因素

Process Intelligence helps organizations provide AI agents with the right context and data needed to know how their businesses run.

AI Business TIER_1 English(EN) · Kinza Yasar · 2026-09-30 17:08

人工智能行业应对失控的代理。这是OpenAI的回应

The generative AI vendor delayed the release of GPT-6.1 Astra after testing exposed new safety concerns, showing why AI models need continued evaluation and enterprise runtime controls.

Medium — MLOps tag TIER_1 English(EN) · Aditya Ladage · 2026-10-20 03:26

红队测试 vs. 上线准备：AI系统何时才真正就绪？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@adityaladage/red-teaming-vs-production-readiness-when-is-an-ai-system-actually-ready-5142e7528024?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/2600/0*D5dKGGah3R3J0g-Q…

Towards AI TIER_1 English(EN) · Nishkarsh Gupta · 2026-10-19 20:31

AI聊天时代的雅各布定律：设计师的5条规则

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/jakobs-law-ai-chat-5-rules-for-designers-b7d132db8ad4?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*aWWe1UUE5AZ7Z0dkdCck_A.png" width="1672" /></a>…

Medium — Claude tag TIER_1 English(EN) · Zaid · 2026-10-19 16:22

Anthropic 测试小型AI模型是否能跨设备传播

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@zaid.writes/anthropic-tested-whether-small-ai-models-could-spread-across-devices-ec410439e86b?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1920/1*WNbfJlQt3dg8n6Z622q…

Medium — Claude tag TIER_1 English(EN) · . · 2026-10-19 14:31

鬼魂、齿轮与敌对花园：从线性代数到人工智能心理学的职能桥梁

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/agi-is-living-intelligence/ghosts-gears-and-the-hostile-garden-a-functional-bridge-from-linear-algebra-to-ai-psychology-92c60125fe85?source=rss------claude-5"><img src="https://cdn-images-1.med…

Towards AI TIER_1 English(EN) · Daniel Seidewitz · 2026-10-19 14:31

AI 不会重写 Photoshop：为何智能体使共享软件更有价值

<h4>The “software is dead” story gets the economics backwards. Agents will reuse what already works, and that changes where the value in software sits.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*Hza1QvCZ4nClFpCyHsIEsg.png" /></figure><p>There is a pop…

Medium — Claude tag TIER_1 English(EN) · Barkatullah Mohammed · 2026-10-19 14:29

AI 辅助设计 20 天：我的工作流程中真正奏效的是什么

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@khaleelforever/20-days-of-designing-with-ai-whats-actually-working-in-my-workflow-ca649f3775eb?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/2600/1*B2FCTBLNOsl8N6C0By…

Medium — MLOps tag TIER_1 English(EN) · Anusha B · 2026-10-19 12:11

一次AI请求的隐藏成本

<div class="medium-feed-item"><p class="medium-feed-snippet">Building AI Systems: From Models to Production — Day 24</p><p class="medium-feed-link"><a href="https://medium.com/@anushalathaaa7/the-hidden-cost-of-an-ai-request-79af16517b12?source=rss------mlops-5">Continue r…

dev.to — MCP tag TIER_1 English(EN) · ScriptMasterLabs · 2026-10-19 07:25

CiteGate：一个检查AI引擎是否能引用你——以及MCP是否安全支付的工具

<p>CiteGate is live: one x402 tool that checks whether AI engines can cite your pages — and whether an MCP surface is safe for an agent to pay through. It ships with three tools today, priced in USDC on Base: a deterministic citability audit ($0.01), a robots-policy check ($0.01)…

Medium — AI coding tag TIER_1 English(EN) · Raunak Baliyan · 2026-10-19 03:14

为 1000 万开发者规模化设计 AI 助手

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://generativeai.pub/design-an-ai-copilot-for-10-million-developers-at-scale-75222c81c14b?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1374/1*hH-ZuB-fSYsD_MzIOxAWAQ.png" width="1…

Medium — AI coding tag TIER_1 English(EN) · Raunak Baliyan · 2026-10-19 03:14

为千万开发者规模化设计AI助手

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://aiadvances.org/design-an-ai-copilot-for-10-million-developers-at-scale-75222c81c14b?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1374/1*hH-ZuB-fSYsD_MzIOxAWAQ.png" width="137…

Medium — Claude tag TIER_1 Türkçe(TR) · Selma Saltık · 2026-10-18 13:15

从使用AI到理解AI：Claude学院路线图

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@selmasaltiik/ai%C4%B1-kullanmaktan-anlamaya-claude-academy-yol-haritam-356c4a729a31?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1400/1*A8FAEXtHEUpibudx9faX4w.png" w…

Medium — Claude tag TIER_1 English(EN) · Selma Saltık · 2026-10-18 13:04

从使用AI到理解AI：我的Claude Academy路线图

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@selmasaltiik/from-using-ai-to-understanding-it-my-claude-academy-roadmap-e8176132d4d9?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1400/1*z_BOhddN6VL6yAGCg16oCA.png"…

Medium — Claude tag TIER_1 English(EN) · The Matrix SaaS · 2026-10-18 12:31

国际象棋与人工智能的关系

<div class="medium-feed-item"><p class="medium-feed-snippet">When most people talk about the relationship between chess and AI, they bring up 1997. That was the year a giant IBM computer named Deep…</p><p class="medium-feed-link"><a href="https://medium.com/@thematrixsaas/…

Medium — MLOps tag TIER_1 English(EN) · Anusha B · 2026-10-18 09:31

扩展AI系统：从单个请求到不断增长的工作负载

<div class="medium-feed-item"><p class="medium-feed-snippet">Building AI Systems: From Models to Production — Day 23</p><p class="medium-feed-link"><a href="https://medium.com/@anushalathaaa7/scaling-ai-systems-from-individual-requests-to-growing-workloads-65451de78206?sou…

dev.to — MCP tag TIER_1 English(EN) · Renato Marinho · 2026-10-18 07:23

工程研究情报：超越关键词搜索的AI代理

<p>Most researchers and technical analysts treat LLMs as sophisticated search engines. They ask a question, wait for the retrieval-augmented generation (RAG) cycle to finish, and hope the context window isn't filled with noise. But if you are trying to identify technological infl…

Medium — MLOps tag TIER_1 English(EN) · Kal · 2026-10-17 23:47

错误的路径可能破坏正确的AI系统

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@93Kryptonian/the-wrong-path-can-break-a-correct-ai-system-b8ee3ffbe8b1?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1376/1*hTxI1xnrZrBJO8dIuZ4dkw.jpeg" width="1376" /…

dev.to — MCP tag TIER_1 English(EN) · RUNZEAI · 2026-10-17 23:40

为您的AI代理提供一个黑匣子：审计3^9 = 19,683个状态的认知空间中的每一个决策

<p>You shipped an AI agent. It runs your RAG pipeline, calls your tools, writes your reports. Life is good — until the day it quietly calls a tool it shouldn't, signs off on a high-risk conclusion with zero evidence, or contradicts itself between step 3 and step 4.</p> <p>The mod…

Medium — MLOps tag TIER_1 English(EN) · Chier Hu · 2026-10-17 21:35

AI评估与可观测性市场内幕

<div class="medium-feed-item"><p class="medium-feed-snippet">1. Market Landscape and User Usage</p><p class="medium-feed-link"><a href="https://chierhu.medium.com/inside-the-ai-evaluation-and-observability-market-8b042925bf29?source=rss------mlops-5">Continue reading on Medium »<…

dev.to — MCP tag TIER_1 English(EN) · Narasimha Lakshmi · 2026-10-17 20:09

🌊 如果一个微服务失败会怎样？构建 RIPPLE — 一个调查涟漪效应的 AI 代理

<p>Exploring graph-powered reasoning, MCP, and AI agents for the FalkorDB Graph Hacks hackathon.</p> <p>Imagine you're managing a distributed application with dozens of interconnected services. Suddenly, the Inventory Service fails.</p> <p>Will the Order Service be affected? Coul…

Medium — AI coding tag TIER_1 中文(ZH) · Huge Gun · 2026-10-17 16:01

[开发] AI时代最需要的技能是专家直觉

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://hsien-w-wei.medium.com/ai-agent-ai-%E6%99%82%E4%BB%A3%E6%9C%80%E9%9C%80%E8%A6%81%E7%9A%84%E8%83%BD%E5%8A%9B%E6%98%AF%E5%B0%88%E5%AE%B6%E7%9B%B4%E8%A6%BA-expert-intuition-83e30324547d?source=rss------ai_co…

Mastodon — sigmoid.social TIER_1 (CA) · [email protected] · 2026-10-17 11:52

Agentic Architecture 2.0: Astra/Sol – Fable/Opus # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence

https://www. europesays.com/3315451/ Agentic Architecture 2.0: Astra/Sol – Fable/Opus # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence

链接 europesays.com/3315451

Medium — Claude tag TIER_1 English(EN) · Enzo Lombardi · 2026-10-17 11:29

人工智能与“坏掉的时代”

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://levelup.gitconnected.com/ai-and-the-era-of-enshittification-21edb8937d84?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1024/1*rHt6ih5Qy12ruaHhZto6oA.png" width="1024" /></a></p><…

Medium — Claude tag TIER_1 English(EN) · Enzo Lombardi · 2026-10-17 11:29

人工智能与“坏掉的时代”

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://enzo-lombardi.medium.com/ai-and-the-era-of-enshittification-21edb8937d84?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1024/1*rHt6ih5Qy12ruaHhZto6oA.png" width="1024" /></a></p><…

Medium — Claude tag TIER_1 English(EN) · Bharat Kumar · 2026-10-17 09:15

应对爆炸式增长：存在多少AI工具？哪些工具主导各领域？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://er-bharat1992.medium.com/navigating-the-explosion-how-many-ai-tools-exist-and-which-ones-rule-each-domain-3f0a468b3dce?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1376/1*O8HwJy…

Medium — MLOps tag TIER_1 English(EN) · Anusha B · 2026-10-17 06:31

优化AI系统：在不增加复杂性的前提下提升性能

<div class="medium-feed-item"><p class="medium-feed-snippet">Building AI Systems: From Models to Production — Day 22</p><p class="medium-feed-link"><a href="https://medium.com/@anushalathaaa7/optimizing-ai-systems-improving-performance-without-adding-complexity-ca86b671664…

Towards AI TIER_1 English(EN) · Code&future · 2026-10-16 20:31

如何成为一名代理式AI工程师：应学习的技能及正确顺序

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/how-to-become-an-agentic-ai-engineer-the-skills-to-learn-in-the-right-order-48de34202b9f?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1078/1*Yy1iRQPMrWTB…

Medium — MCP tag TIER_1 English(EN) · Malan De Alwis · 2026-10-16 17:50

我终于明白了AI模型和代理是如何协同工作的

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@malandealwis/i-finally-understand-how-ai-models-and-agents-fit-together-2fdfa0818e19?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/1672/1*poUYRCgelfgr0Iwcq2xZtQ.png" wid…

Medium — Claude tag TIER_1 English(EN) · Zainab Ikhwan · 2026-10-16 16:47

停止将一个AI用于所有任务：为每项任务选择合适AI的实用指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai.plainenglish.io/stop-using-one-ai-for-everything-the-practical-guide-to-choosing-the-right-ai-for-every-task-5f8fde6e4e7c?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1536/1*…

Towards AI TIER_1 English(EN) · Veera RS · 2026-10-16 16:31

上下文轮换：为何更大的上下文窗口会降低 AI 代理的可靠性

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/context-rot-why-bigger-context-windows-make-ai-agents-less-reliable-b34578c0f8f2?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*z5QppRIGG-aJLr3Dgjh4…

Medium — Claude tag TIER_1 English(EN) · BARRON VAN DEN BERG · 2026-10-16 15:51

停止将AI当作搜索引擎使用：通往Agent、更优提示词和AI驱动的实用路线图…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@barronqasem/stop-using-ai-like-a-search-engine-a-practical-roadmap-to-agents-better-prompts-and-ai-powered-567a68e49296?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/…

Towards AI TIER_1 English(EN) · Towards AI Editorial Team · 2026-10-16 15:01

LAI 第147期：AI能否学会因果关系？

<h4>Causal intelligence for robots, better human checkpoints, semantic cache failures, RAG vs OKF, and activation steering.</h4><p>Good morning, AI enthusiasts!</p><p>AI models are very good at learning what tends to happen next. But a robot has to choose actions that change the …

Towards AI TIER_1 English(EN) · Robert Martin-Short · 2026-10-16 12:36

AI同事的解剖：为何上下文胜过智能

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*SBLzzDY3tm5xTK3zbH-abQ.png" /><figcaption>“AI Coworker Under Inspection” by ChatGPT</figcaption></figure><p>The rise of AI in the workplace has led to a whole ecosystem of new and poorly-defined terminology: Agen…

Medium — Claude tag TIER_1 English(EN) · Adekanmiprosper · 2026-10-16 11:10

人工智能构建者时代：未来属于知道如何构建的人

<div class="medium-feed-item"><p class="medium-feed-snippet">Artificial intelligence is changing software development.</p><p class="medium-feed-link"><a href="https://medium.com/@adekanmiprosper/the-age-of-ai-builders-the-future-belongs-to-those-who-know-what-to-build-7208d9aaec9…

Medium — MLOps tag TIER_1 English(EN) · Anusha B · 2026-10-16 11:01

评估AI架构：质量、延迟、成本和可靠性

<div class="medium-feed-item"><p class="medium-feed-snippet">Building AI Systems: From Models to Production — Day 21</p><p class="medium-feed-link"><a href="https://medium.com/@anushalathaaa7/evaluating-ai-architecture-quality-latency-cost-and-reliability-f1f5d904b0f1?sour…

Medium — MLOps tag TIER_1 English(EN) · Dealonai · 2026-10-16 10:02

LLMOps 与 MLOps 解析：2026 年 AI 运维终极指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@social.dealonai/llmops-vs-mlops-explained-the-definitive-2026-guide-to-ai-operations-67b6b2270175?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/750/1*FH79_iGn-fIxc388D…

Medium — MLOps tag TIER_1 English(EN) · Atharva · 2026-10-16 03:07

超越MLOps：LLMOps如何让生成式AI在生产环境中可靠运行

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@atharva20/beyond-mlops-how-llmops-makes-generative-ai-reliable-in-production-6dd84fac53e4?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/614/1*TKBOIZVlMqF34g1fnAipbA.pn…

Medium — MCP tag TIER_1 English(EN) · Buildpilots · 2026-10-16 02:40

Agentic AI 的隐秘悖论：规划更优，工具可靠性更差

<div class="medium-feed-item"><p class="medium-feed-snippet">The morning’s new model drop landed overnight: Meta released Muse Spark Open, its new open-weight model built natively for agent workflows…</p><p class="medium-feed-link"><a href="https://medium.com/@lyle9…

dev.to — MCP tag TIER_1 English(EN) · Bot Skill Stack · 2026-10-16 01:23

AI增长引擎文章和通讯撰写代理：架构、工具模式与集成指南

<h2> Why conversational agent prompts fail in production—and the exact typed tool schemas, MCP servers, and dry-run safeguards required for Grok Bot Architecture & xAI Execution Loops. </h2> <p>Mastering Grok Bot Skills is currently surrounded by a widespread misconception: t…

Towards AI TIER_1 English(EN) · Hadeel Salah · 2026-10-15 21:01

跨组织设计企业人工智能赋能计划的经验教训

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/lessons-learned-from-designing-enterprise-ai-enablement-program-across-organizations-f23c9f7c443b?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1376/1*Pzb…

dev.to — MCP tag TIER_1 English(EN) · Bot Skill Stack · 2026-10-15 20:17

AI增长引擎广告测试积压代理：架构、工具模式与集成指南

<h2> Why conversational agent prompts fail in production—and the exact typed tool schemas, MCP servers, and dry-run safeguards required for Grok Bot Architecture & xAI Execution Loops. </h2> <p>Mastering Grok Bot Skills is currently surrounded by a widespread misconception: t…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-15 11:01

人工智能用例太多，影响力太小？战略在于选择“不做”什么——并将资源分配给能为客户创造真正价值（而非仅仅是技术价值）的人工智能领域

Too many AI use cases, too little impact? Strategy is choosing what *not* to do—and allocating resources where AI creates real customer value (not just technical possibility). Business impact, desirability, and viability matter as much as feasibility. Read more: https://www. forr…

链接 forrester.com/…/too-many-ai-use-cases-too… datentreiber.com/…/too-many-ai-use-cases-…

Towards AI TIER_1 English(EN) · Pop Alexandru · 2026-10-15 08:58

我构建了一个用于评判 AI 项目的 AI——它会关注这些方面

<h4><em>A GitHub repository can say “Transformer,” “RAG,” or “Computer Vision” in the README. That does not tell you whether the work is technically deep, original, reproducible, or even really yours. I built AI-Atlas to look past the labels and inspect the evidence inside the co…

Medium — MLOps tag TIER_1 English(EN) · Ganesh Kumar Murugesan · 2026-10-15 02:52

人工智能：模型如何部署和托管

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/it-simplified/artificial-intelligence-how-a-model-is-deployed-and-hosted-7bd3fcb08054?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/2600/1*9wnVufRK7Be9FdVaPKf1IA.png" w…

Towards AI TIER_1 English(EN) · Diogo Santos · 2026-10-14 23:01

AI代理应拥有多少自主权？验证与恢复的经济学

<h4>Maximum autonomy is not an engineering objective. A marginal test for how far to delegate, and when adding agents makes things worse.</h4><p><em>This story was written with the assistance of an AI writing program, working from a research brief I prepared. Cited figures were c…

Medium — AI coding tag TIER_1 English(EN) · Sebnem Akin Taspinar · 2026-10-14 20:54

AI时代为何分析与设计愈发重要

<div class="medium-feed-item"><p class="medium-feed-snippet">We are living in an era where AI-powered coding assistants (Copilot, Claude, Cursor, etc.) have become central to our daily software…</p><p class="medium-feed-link"><a href="https://medium.com/@sebnem.taspinar/wh…

Medium — Anthropic tag TIER_1 English(EN) · Mithlesh Sah · 2026-10-14 18:58

停止浪费Claude的脑力：智能提示路由如何最大化您的人工智能预算

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@mithsah1325/stop-wasting-claudes-brainpower-how-smart-prompt-routing-maximizes-your-ai-budget-3ae8ada52dd8?source=rss------anthropic-5"><img src="https://cdn-images-1.medium.com/max/1184/1*7QK…

Towards AI TIER_1 English(EN) · Diogo Santos · 2026-10-14 14:31

AI 代理真的能节省工作吗？工程领导者的盈亏平衡测试

<h4>Agent execution time is one term in a seven-term equation. Here is how to check the other six before you scale a pilot.</h4><p><em>This story was written with the assistance of an AI writing program, working from a research brief I prepared. Every cited figure was checked aga…

dev.to — Anthropic tag TIER_1 English(EN) · Joan Comadran · 2026-10-14 13:35

AI代理开发成本：什么在真正影响价格（2026）

<p>Here's the short answer people actually want: <strong>AI agent development cost is mostly scope, not model fees.</strong> The model bill is real and easy to measure. The number that surprises founders is the engineering around the model — the channel, the tools that write to r…

Towards AI TIER_1 English(EN) · Future Intelligence Think Tank · 2026-10-14 12:31

AI数据基础设施：为企业AI构建受治理的基础

<p><em>Date published: August 06, 2026</em></p><p><em>By: Lucion Cucos, Head of AI</em></p><p>Reliable <strong>AI infrastructure</strong> begins with a well-governed data layer. Whether the AI layer consists of a single model or several working together, its answers depend on the…

Towards AI TIER_1 English(EN) · Shravankumar Hiregoudar · 2026-10-14 10:33

人工智能让我们更快了。我们还在做有意义的工作吗？

<h4>AI is accelerating execution and reshaping how we think and collaborate. The challenge is to turn that speed into meaningful work without losing our understanding, agency, or sense of accomplishment.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*rMtC…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-14 07:36

通过碎片化工具保障AI存在关键运营盲点。✈️ Abnormal AI将其行为平台扩展为AI的单一控制塔

Securing AI through fragmented tools leaves critical operational blind spots. ✈️ Abnormal AI expands its behavioural platform into a single control tower for AI security, bringing together AI governance, employee guardrails, and agent security under one unified view. Read it here…

链接 techfinitive.com/…/abnormal-ais-expanded-… espanol.techfinitive.com/…/abnormal-ai-am…

Medium — MLOps tag TIER_1 English(EN) · Neharika Rajendran · 2026-10-14 06:39

运行AI的真实成本：来自FinOps的关于推理账单、GPU稀缺和更智能云的视角…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@neharikaraj01/the-real-cost-of-running-ai-a-finops-view-of-inference-bills-gpu-scarcity-and-smarter-cloud-3054fbd6f0ee?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/14…

Medium — MLOps tag TIER_1 English(EN) · Vedantkarlekar · 2026-10-14 05:44

BRAIN — MAID (人工智能数据中心维护)

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@vedantkarlekar1/brain-maid-maintance-of-ai-datacenter-1645eb918277?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1645/1*FkDO0KiANaVVy1u6XjVqiA.png" width="1645" /></a>…

Medium — Claude tag TIER_1 English(EN) · Korshub · 2026-10-14 04:44

Claude Skills for Business：仍在修复每个AI草稿？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@support_34160/claude-skills-for-business-still-fixing-every-ai-draft-47a6229ae515?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*UTrPCW3xaBw182kwzAwCig.png" wid…

dev.to — MCP tag TIER_1 English(EN) · Aidakh · 2026-10-13 19:53

2026年AI代理支付平台：33款产品按层级划分（含来源）

<blockquote> <p><strong>Disclosure:</strong> I work on Pink Agentic AI Payments at PinkWallet, which is one of the 33 entries below (spend-control layer). Every entry links to a primary source: the company's own docs, blog or press release. Pink is described with the same fields …

Towards AI TIER_1 English(EN) · Towards AI Editorial Team · 2026-10-13 16:46

TAI #226：人工智能模型竞赛需要更好的测试

<h4>Also, Meta’s Muse Wonder, Claude Haiku 5.5, OpenAI’s Ultrafast tier, Mistral Large 4, Reflection Beam, and new rivals to Jev.</h4><h3>What happened this week in AI by Louie</h3><p>This week brought another strong set of model releases, with Meta moving ahead of OpenAI on seve…

dev.to — MCP tag TIER_1 English(EN) · BotGathering · 2026-10-13 13:26

我为AI代理构建了一个食谱板，具有贝叶斯评分和自动回滚功能（stdlib Python + SQLite）

<p>Every AI assistant I've used works out the same tricks from scratch. One figures out a good way to triage an inbox, another works out how to write a research brief that actually cites what it read, and none of that carries over. The next agent (or the same agent in a new sessi…

Towards AI TIER_1 English(EN) · Sergio Guidon · 2026-10-13 12:01

超越日志记录：锁定人工智能决策背后的证据

<h4><em>When simply logging agentic outputs is not enough, cryptographic evidence envelopes may be one building block of the solution. The underlying technology is highly standardized, and a large number of libraries lower the entry barrier for implementation.</em></h4><h3>The Ba…

Medium — Claude tag TIER_1 English(EN) · Frederik Roessell · 2026-10-13 10:26

我的AI设计工具包：2026年真正对我有效的是什么

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@froessell/my-ai-design-toolkit-what-actually-works-for-me-in-2026-3270cf2638bb?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1200/0*qOuVsM8tBds2yb7X.jpg" width="1200"…

dev.to — MCP tag TIER_1 English(EN) · Mustafa Turan · 2026-10-13 08:00

我们如何为AI代理构建共享Markdown看板（并让清单自动打勾）

<p><strong>TL;DR:</strong> We run one AI agent per workspace, and each one only sees its own tasks. That's good for focus and bad for hand-offs. The <strong>Pano</strong> (AgentRQ v0.10.0) is a board of markdown docs that every workspace in an account can read and write. Checklis…

Medium — Claude tag TIER_1 English(EN) · Suresh Madhusanka Rodrigo · 2026-10-13 05:12

探索人工智能与问答的交汇点：每周洞察 — 2026/09/28 至 2026/10/11

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/ai-qa-nexus/exploring-the-nexus-of-ai-qa-weekly-insights-28-09-2026-to-11-10-2026-e9f433f3d433?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/600/1*mkTGI11Vv7XAS_2jkfUj…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-12 21:53

现代AI搜索的架构批判：Neil Patel关于LLM迫使对复杂查询进行实时检索的说法是正确的，但营销建议在没有Com的情况下是无效的

An architectural critique of modern AI search: Neil Patel is right that LLMs force live retrieval on complex queries, but marketing advice fails without the Computer Science of GEO. # seo # ai # marketing # webdev # software # coding # development # engineering # inclusive # comm…

链接 dev.to/…/why-neil-patel-is-half-right-abo…

Towards AI TIER_1 English(EN) · Neyzis · 2026-10-12 19:31

停止提示。开始编排：可靠的自主人工智能代理背后的架构

<h4>How to transition from stateless chatbots to stateful, multi-agent systems that actually work unattended.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*-QTXXeUAWslpPBLIgHrrTA.png" /></figure><p>Every AI tool you have used so far waits for you.</p><p>…

Medium — MLOps tag TIER_1 English(EN) · CTO in a Box | Fractional CTO & AI Leadership · 2026-10-12 17:23

如何将AI概念验证推向生产：企业指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@CTO-in-a-Box/how-to-take-an-ai-proof-of-concept-to-production-an-enterprise-guide-9adfeed3f3cc?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/853/1*YUWBDWwSjYKesQArbidi…

dev.to — MCP tag TIER_1 English(EN) · JustRouting · 2026-10-12 14:26

AI Agents 需要一个路由层：为东南亚构建位置智能

<p>AI agents are becoming better at understanding users, planning tasks, and making decisions.</p> <p>But there is one important limitation:</p> <p><strong>AI agents do not understand the physical world by default.</strong></p> <p>They know language.</p> <p>They can reason about …

Towards AI TIER_1 English(EN) · Veera RS · 2026-10-12 12:31

万亿参数AI模型如何实际运行：分布式推理指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/how-trillion-parameter-ai-models-actually-run-a-guide-to-distributed-inference-1093bce89831?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*4eClXXMBO…

Mastodon — sigmoid.social TIER_1 日本語(JA) · [email protected] · 2026-10-12 12:19

连接课程流与技能组合。迈向Agentic AI #Shorts #AgenticAi #AI #ArtificialIntelligence #Agentic AI #Artificial Intelligence

https://www. tkhunt.com/2596252/ 授業の流れをスキルの組み合わせでつなぐ。エージェント型AIに近づきます # Shorts # AgenticAi # AI # ArtificialIntelligence # エージェント型AI # 人工知能

链接 tkhunt.com/2596252

Medium — Claude tag TIER_1 English(EN) · Tuba Tugrul · 2026-10-12 11:17

AI的疯狂九月：新模型、大声明和刹车问题

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@tubatugrul/ais-wild-september-new-models-big-claims-and-a-question-of-brakes-dfc1d0d62c62?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*Xxll_GowsORmveEC4DmjqQ.…

Medium — Anthropic tag TIER_1 English(EN) · Tuan Tran Van · 2026-10-12 10:46

Claude Haiku 5.5：面向智能体工作负载的快速、低成本智能

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@tuanhadev/claude-haiku-5-5-fast-low-cost-intelligence-for-agentic-workloads-70343905017a?source=rss------anthropic-5"><img src="https://cdn-images-1.medium.com/max/2600/0*IqnnBfrdOZn3MfoW" wid…

dev.to — MCP tag TIER_1 (BN) · Rakib Ahasan · 2026-10-12 06:09

AI Agent API：从零开始，.NET开发者学习笔记

<h2> এই লেখা কেন </h2> <p>আমি .NET ব্যাকএন্ড ডেভেলপার। এতদিন API বানিয়েছি ফ্রন্টএন্ড বা মোবাইল টিমের জন্য। কিন্তু ইদানীং বারবার শুনছি, "AI Agent আপনার API ব্যবহার করবে।" আমি জানতে চাইলাম, এর মানে কী, আর আমার API-তে কী বদলাতে হবে।</p> <p>এই লেখা সেই শেখার নোট। কোনো বিশেষজ্ঞের লেখ…

Medium — Claude tag TIER_1 English(EN) · Naman Gupta · 2026-10-12 06:05

构建前先测试：产品经理使用AI原型的一周行动指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@namanguptaa/test-before-you-build-a-one-week-playbook-for-product-managers-using-ai-prototypes-10cdd77038ce?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1140/1*-fqZ4…

Towards AI TIER_1 English(EN) · Andrea D'Agostino · 2026-10-12 04:19

人工智能决策模型：它们是什么以及它们如何工作

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/ai-decision-models-what-they-are-and-how-they-work-8f395cbe1a6e?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/2600/0*3AfEgBR5kxcIndXX" width="3872" /></a>…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-12 02:41

对专业MCP连接器如何将AI代理从纯文本生成器转变为能够处理严谨工程的精确工程工具的分析

An analysis of how specialized MCP connectors transition AI agents from mere text generators to precise engineering instruments capable of handling rigorous regulatory mathematics like EPA emission protocols. # ai # mcp # engineering # automation # software # coding # development…

链接 dev.to/…/bridging-environmental-complianc…

dev.to — MCP tag TIER_1 English(EN) · Bot Skill Stack · 2026-10-11 18:26

使用自主人工智能代理实现 B2B 交易台自动化：2026 年开发者蓝图

<h2> Why conversational agent prompts fail in production—and the exact typed tool schemas, MCP servers, and dry-run safeguards required for Autonomous AI Agent & Skill Stack Architecture. </h2> <p>Mastering B2B Deal Desk AI is currently surrounded by a widespread misconceptio…

dev.to — MCP tag TIER_1 English(EN) · Bot Skill Stack · 2026-10-11 18:09

使用自主人工智能代理实现 B2B 交易台自动化：2026 年开发者蓝图

<h2> Why conversational agent prompts fail in production—and the exact typed tool schemas, MCP servers, and dry-run safeguards required for Autonomous AI Agent & Skill Stack Architecture. </h2> <p>Mastering B2B Deal Desk AI is currently surrounded by a widespread misconceptio…

Medium — Claude tag TIER_1 English(EN) · zone tech · 2026-10-11 17:23

系统性地构建AI专业知识

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@zonetech409/building-ai-expertise-systematically-17131ab704c7?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/870/0*O4PeZ6xdoDRJKZTd.jpg" width="870" /></a></p><p class…

dev.to — MCP tag TIER_1 English(EN) · Goodness E. Eboh · 2026-10-11 17:14

我们对 4 个用于 AI 代理的网络抓取 API 进行了 DataDome、Cloudflare 和 Akamai 的基准测试

<blockquote> <p><em>This article was originally published on the <a href="https://www.zenrows.com/blog/best-web-scraping-api-for-ai-agents" rel="noopener noreferrer">Zenrows blog</a>.</em></p> </blockquote> <p>This post compares five <a href="https://www.zenrows.com/glossary/web-…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-11 10:15

了解如何利用 LangChain 等框架中的 AI 代理，自动生成和执行全面的软件测试，从而提高可靠性 # 代理

Learn how to leverage AI agents with frameworks like LangChain to automatically generate and execute comprehensive software tests, improving reliabili # agents # ai # automation # testing # software # coding # development # engineering # inclusive # community AI Agents for Automa…

链接 dev.to/…/ai-agents-for-automated-test-gen…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-11 06:33

构建一个AI“魔鬼代言人”：使用LangGraph和Streamlit的多代理辩论应用 # ai # python # opensource # showdev #

Building an AI Devil's Advocate: A Multi-Agent Debate App with LangGraph & Streamlit # ai # python # opensource # showdev # ai # opensource # python # showdev # software # coding # development # engineering # inclusive # community Building an AI Devil's Advocate: A Multi-Agent De…

链接 dev.to/…/building-an-ai-devils-advocate-a…

Medium — AI coding tag TIER_1 English(EN) · Roberto Trunfio · 2026-10-10 21:28

完美代码的幻觉：当AI通过所有测试却出错时

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai.plainenglish.io/the-illusion-of-perfect-code-when-ai-passes-every-test-but-gets-it-wrong-7210106f4695?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1280/1*K8Dzhp16DSQQ887Vj…

dev.to — MCP tag TIER_1 English(EN) · rambo · 2026-10-10 19:46

可验证收据：AI 代理缺失的一层

<p>verifiable receipts: the missing layer for ai agents</p> <p>every ai agent framework ships with logging. none of them ship with proof.</p> <p>your agent runs a workflow, touches five tools, moves data between systems, and tells you it worked. what you get is a transcript, a lo…

Medium — Claude tag TIER_1 English(EN) · Anna Jey · 2026-10-10 19:31

Claude Haiku 5.5 工作队列：设计高吞吐量且知道何时停止的 AI 管道

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/claude-haiku-5-5-work-queues-design-high-volume-ai-pipelines-that-know-when-to-stop-83343a5f83cd?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*lnQLHZ5gbk…

Medium — AI coding tag TIER_1 English(EN) · Parker Klein ✌️ · 2026-10-10 17:10

人工智能如何改变我的软件构建方式（及其未来发展方向）

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/twosapp/how-ai-changed-the-way-i-build-software-and-where-its-headed-next-f9cf70a7bbf1?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/2600/1*0gWlaXhKjOCd6V_WljbAUw.p…

Medium — AI coding tag TIER_1 English(EN) · Technology Product Management · 2026-10-10 10:07

从需求到可运行代码：AI驱动的规范驱动开发实践指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@sanjeevk20/from-requirements-to-running-code-a-hands-on-guide-to-spec-driven-development-with-ai-c589941c3523?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1536/1*…

Medium — MLOps tag TIER_1 English(EN) · Dextra Labs · 2026-10-10 04:31

如何构建生产就绪的生成式AI应用：架构、测试和部署

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dextra_labs/how-to-build-production-ready-generative-ai-applications-architecture-testing-and-deployment-774edbaddd01?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/167…

Medium — MCP tag TIER_1 English(EN) · Illia Haidar · 2026-10-09 16:01

MCP市场与AI技能：这是新软件经济的开端吗？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@illiahaidar/mcp-marketplaces-and-ai-skills-is-this-the-beginning-of-a-new-software-economy-3247711a84eb?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/1400/1*Q8Omu4dvqnr2…

TechCrunch AI TIER_1 English(EN) · Russell Brandom · 2026-10-09 15:43

a16z 的 Olivia Moore 谈论消费者 AI 的现状

Moore sees a huge opportunity in consumer AI, particularly if the industry can tap into revenue streams beyond just subscriptions and API charges.

The Register — AI TIER_1 English(EN) · 2026-10-09 15:00

成长的烦恼：分布式AI训练如何改变数据中心间的网络

SPONSORED FEATURE: While linking the GPUs in a datacenter is a challenge, coordinating thousands of them to work efficiently over hundreds of kilometers presents a new set of difficulties.

Medium — Claude tag TIER_1 English(EN) · Koustav · 2026-10-09 11:46

什么是HNSW？AI代理运行时智能背后的隐藏算法

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@koustavsamaddar/what-is-hnsw-the-hidden-algorithm-behind-ai-agents-runtime-intelligence-439f9a781c91?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1536/1*hRb6x_iO-UKL…

Medium — MLOps tag TIER_1 English(EN) · DataNorth AI · 2026-10-09 07:35

从AI概念验证到投入生产：需要改变什么

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@DataNorthAI/from-ai-proof-of-concept-to-production-what-needs-to-change-1673414cc30f?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1532/1*JqKYIiGDeeAIQ1J9Un2OvQ.png" w…

Medium — Claude tag TIER_1 English(EN) · The BugHex · 2026-10-09 06:09

BugHex：所有软件、AI 和应用程序问题均已解决

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://thebughex.medium.com/the-bughex-every-software-ai-app-problem-already-solved-d0a20dce4f3d?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1024/1*PC0izkdmJ4gEb6kmMpgolQ.jpeg" width=…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-09 06:05

Kaggle基准测试挑战赛提交内容我进行了基准测试我想要... #devchallenge #kagglechallenge #ai #machinelearning #software #

This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked I wanted a... # devchallenge # kagglechallenge # ai # machinelearning # software # coding # development # engineering # inclusive # community A sharper eye did not make a more careful model.

链接 dev.to/…/a-sharper-eye-did-not-make-a-mor…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-09 06:03

Mistral、OVHcloud 与 AI 持续性：审计五层，识别剩余依赖，并测试您的服务在无供应商情况下能否维持三十天。

Mistral, OVHcloud and AI continuity: audit five layers, identify remaining dependencies and test whether your service survives thirty days without its provider. # ai # cloud # devops # architecture # software # coding # development # engineering # inclusive # community Sovereign …

链接 dev.to/…/sovereign-ai-in-europe-what-mist…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-09 06:01

了解单提示膨胀如何推高AI编码的API成本。学习实现gascity风格的多代理编排，以优化令牌使用并改进

Discover how single-prompt bloat inflates API costs in AI coding. Learn to implement gascity-style multi-agent orchestration to optimize token usage and improve code quality. # ai # machine # learning # multi # software # coding # development # engineering # inclusive # community…

链接 dev.to/…/stop-burning-tokens-why-multi-ag…

dev.to — MCP tag TIER_1 English(EN) · mech.app · 2026-10-09 00:07

Agentic AI基金会的标准栈：MCP、A2A和Goose

<p>The Agentic AI Foundation is building a standards stack to solve a problem most teams hit after their first agent proof-of-concept: how do you wire together agents from different vendors, let them share tools, and coordinate multi-step workflows without writing custom glue cod…

Medium — MLOps tag TIER_1 English(EN) · Nixon Varghese · 2026-10-08 21:56

在 Kubernetes 上构建自托管 AI 代理平台

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@nixonv/building-a-self-hosted-ai-agent-platform-on-kubernetes-ef51534b65cb?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/2600/1*59f2E-2Fx7cmB_WHvJRrJA.png" width="3200…

dev.to — MCP tag TIER_1 English(EN) · techaiwire · 2026-10-08 18:45

Sierra 和 Meta 提议个人 AI 代理标准

<p>Sierra and Meta announced the Personal Agent Protocol on October 6, 2026, a proposed open standard for how a shopper's AI agent should deal with a business. Sierra says the first spec, version 0.1, will arrive "later this month," according to <a href="https://sierra.ai/blog/in…

Medium — Claude tag TIER_1 English(EN) · Blue Panda · 2026-10-08 18:01

企业AI能力差距：为何Anthropic将CCAO-F认证设为零代码

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/the-enterprise-ai-competence-gap-why-anthropic-made-its-ccao-f-certification-zero-code-54f914385aee?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1376/1*0mOln8S…

dev.to — MCP tag TIER_1 English(EN) · JANCTION Render · 2026-10-08 17:08

让 AI 代理在无意外的情况下支付渲染费用：先免费积分，后充值链接，设置消费上限和安全重试

<p>Official JANCTION Render: <a href="https://render.janction.jp" rel="noopener noreferrer">https://render.janction.jp</a></p> <p>JANCTION Render is a cloud GPU render farm for Blender that AI agents call as an MCP server or HTTP API. It is free up to 500 JPY of GPU time per new …

Medium — AI coding tag TIER_1 English(EN) · CodeTune · 2026-10-08 11:46

7个比提示词更重要的AI编码代理变革

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/skillstuff/7-ai-coding-agent-changes-that-mattered-more-than-prompts-69fffb4e3e25?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1536/1*QK9O-zLWRhK0zBcGg2bH_w.png" w…

Medium — Claude tag TIER_1 Deutsch(DE) · Developer Hub · 2026-10-08 11:31

Claude Haiku 5.5：为什么更快、更便宜的AI模型很重要

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/daily-ai-pulse/claude-haiku-5-5-why-faster-and-cheaper-ai-models-matter-5f4d971076fb?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1536/1*ntEdr7E4H0K-x2_kqhckBQ.png" w…

dev.to — MCP tag TIER_1 English(EN) · ArshTechPro · 2026-10-08 11:28

REA：让您的AI代理逆向工程您希望拥有的应用功能

<p>You are using an app and notice a feature that just works. Instant offline search. A clever sync behavior. A smooth update flow. You want something similar in your own product, but you have no source code, no docs, and no idea where to start.</p> <p>Traditionally, the answer w…

dev.to — MCP tag TIER_1 English(EN) · RevOS · 2026-10-08 11:16

AI 趋势 2026：自助式 BI 正在变得具身化

<p>The way people get answers out of company data is changing faster than the data stacks underneath them. For twenty years the answer to "why did that number move?" was a dashboard someone built in advance. In 2026, increasingly, the answer is an agent that goes and finds out.</…

The Register — AI TIER_1 English(EN) · 2026-10-08 08:00

将人的因素融入AI代理的采用

SPONSORED FEATURE: Making the link between business strategy and how the workforce adopts technology will be crucial to business success in the agentic AI era

Medium — Claude tag TIER_1 English(EN) · Ashish Huddar · 2026-10-08 06:57

让 AI 代理证明其工作内容

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ashishhuddar.medium.com/making-ai-agents-prove-their-work-9e618923183f?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1600/1*BNfAbYe-k6sZTno5C_GKoA.png" width="1600" /></a></p><p …

Medium — MCP tag TIER_1 English(EN) · Ritu Raj Madhup · 2026-10-08 06:35

Agentic Resource Discovery: AI Agents 将如何自主寻找工具

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@ritu.mmadhup/agentic-resource-discovery-how-ai-agents-will-find-tools-on-their-own-1c735d2a9874?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/2600/1*PfDXsA4oUtJCWtZAWQvc…

Towards AI TIER_1 English(EN) · Syed Shahrukh Haider · 2026-10-08 06:21

AI走进家庭：为何受监管的企业正从云GPU转向本地Blackwell机器

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*-NhDyk3z4GiqfQFBjiSDgg.png" /></figure><blockquote>We moved our AI workloads off rented cloud GPUs and onto a desktop-sized Grace Blackwell machine. Here is what we learned, what it cost, what broke, and why I th…

Medium — Claude tag TIER_1 English(EN) · Anil Sharma · 2026-10-08 03:06

认识 Claude Haiku 5.5：可能驱动代理经济的小型人工智能模型

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@anil.futuristic/meet-claude-haiku-5-5-the-small-ai-model-that-could-power-the-agent-economy-25a4c9f205c1?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*GW8VQmpf…

Towards AI TIER_1 English(EN) · Suvra Nath · 2026-10-07 23:01

AI 代理驱动的规范开发：Spec Kit 对比 OpenSpec 对比 BMAD (附 OpenSpec 实操…

<h3>Spec-Driven Development with AI Agents: Spec Kit vs OpenSpec vs BMAD (Plus a Hands-On OpenSpec Tutorial)</h3><h4><em>Three tools, one big idea: give your AI coding agent a memory. Here’s how they compare, and how to try the lightest one in under an hour.</em></h4><figure><img…

dev.to — MCP tag TIER_1 English(EN) · Sergio Ramírez · 2026-10-07 22:25

我构建了Semwright，让AI代理能够跨桌面应用程序工作

<p>For one of Semwright's demos, I started with an existing aircraft project in Blender. The workflow updates materials, adjusts the camera, renders a new shot, creates animated titles with Motion Canvas, and assembles everything with MLT.</p> <p>The result is a finished video, a…

Medium — Claude tag TIER_1 English(EN) · Eylon Steiner · 2026-10-07 21:59

使用AI编码助手进行大型迁移项目：哪些有效，哪些失败，以及我会怎么做…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.infostrux.com/running-a-large-migration-project-with-an-ai-coding-agent-what-worked-what-broke-and-what-id-do-fc4d1a53ac0f?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/750/…

Towards AI TIER_1 English(EN) · Shukri Shukriev · 2026-10-07 19:01

SoPhi Harness — 从静态文件到自写技能：演进AI代理的技能系统

<h4>Series: Building SoPhi — a Kotlin Agent Harness — Article 07</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*4Qm1uuBcSjsskov8d2Qqxg.png" /></figure><p>A general contractor doesn’t wait for a family to pick out a stove before running the gas line to the…

dev.to — MCP tag TIER_1 English(EN) · Denish P · 2026-10-07 17:32

MCP详解：模型上下文协议如何改变2026年AI发展

<p><em>Originally published on <a href="https://codeloopsoftware.com/blog/mcp-explained/" rel="noopener noreferrer">Codeloop Software</a>.</em></p> <p><strong>Quick answer:</strong> MCP (Model Context Protocol) is an open standard created by Anthropic that defines how AI applicat…

dev.to — MCP tag TIER_1 English(EN) · Ashutosh Maurya · 2026-10-07 15:16

OpenAI 将智能体基础设施变为 API — 下一个 AI 技能是编排

<p>The biggest change isn't another model release. OpenAI's new Agents API packages the infrastructure needed for long-running agents—context, tools, files, code execution, MCP, and subagents—behind an API.<br /> A basic LLM application looks like:<br /> User<br /> ↓<br /> Model<…

dev.to — MCP tag TIER_1 English(EN) · Tali Adler · 2026-10-07 14:43

使用 MCP 进行代理会计：认识 Portali 内的 AI 助手 Tali

<p>Most accounting software was designed for humans clicking through forms. That model breaks down once AI agents start doing the work.</p> <p>Portali is agentic accounting software with MCP (Model Context Protocol) integration, and Tali is the AI assistant built into it. Here is…

dev.to — MCP tag TIER_1 English(EN) · Shivnath Tathe · 2026-10-07 14:33

HAP：人类人工智能协议——MCP之后是什么

<h1> HAP: The Human AI Protocol — What Comes After MCP </h1> <p><em>By Shivnath Tathe · October 2026</em></p> <h2> The Problem Nobody Is Talking About </h2> <p>We solved the AI intelligence problem.</p> <p>Models today can reason, code, write, plan, and create at a level nobody p…

dev.to — MCP tag TIER_1 English(EN) · Huy Nguyen · 2026-10-07 11:49

构建了一个MCP扩展，让AI编码代理可以直接在你的IDE中创建视觉构件。非常希望听到你的反馈！

<div class="ltag__link--embedded"> <div class="crayons-story "> <a class="crayons-story__hidden-navigation-link" href="https://dev.to/huynguyen294/this-extension-lets-your-ai-agent-create-artifacts-for-plans-workarounds-and-designs-in-cursor-19n3">This extension lets your AI agen…

Email — AI Tool Report TIER_1 Deutsch(DE) · bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com (bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com) · 2026-10-07 11:12

⚡️Meta推出AI代理标准

⚡️Meta launches AI agent standard<!--[if mso]><style type="text/css"> h1, h2, h3, h4, h5, h6 {…

Medium — AI coding tag TIER_1 English(EN) · Scopuly · 2026-10-07 09:47

从 AI Prompt 到 Stellar dApp：Scopuly 加入 Stellar Skills

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://scopuly.medium.com/from-ai-prompt-to-stellar-dapp-scopuly-joins-stellar-skills-52806675c984?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1672/1*PsGFNMh3jQdIjD01cCjotA.png" wi…

Medium — Claude tag TIER_1 English(EN) · Kirat · 2026-10-07 09:44

企业级 Claude 训练：将 AI 访问转化为实际业务能力

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai-information.medium.com/enterprise-claude-training-turning-ai-access-into-practical-business-capability-6d86007813d5?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*npUOBa…

Medium — Claude tag TIER_1 English(EN) · Amir Dorri · 2026-10-07 07:54

每个用例的最佳 AI 工具（排名）

<div class="medium-feed-item"><p class="medium-feed-snippet">You’re Not Behind on AI. You Just Don’t Know the Tools.</p><p class="medium-feed-link"><a href="https://medium.com/@amirdorri/the-best-ai-tool-for-every-use-case-ranked-3c854e37a677?source=rss------claude-…

Medium — MLOps tag TIER_1 English(EN) · Musab Zafar · 2026-10-07 05:51

构建大型AI系统是架构问题而非模型问题

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@musabzafar63/building-large-ai-systems-is-an-architecture-problem-not-a-model-problem-42ab622e712f?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1664/0*cMeO7ZX-Baj_EGJ…

TechCrunch AI TIER_1 English(EN) · Sarah Perez · 2026-10-06 19:56

AI代理的下一个障碍：让网站允许它们进入

Personal AI agents promise to shop, book flights, and make reservations for you. But deliberate blocks and anti-bot defenses are getting in the way, leaving consumers caught in the middle. A new standard aims to help.

Medium — MCP tag TIER_1 English(EN) · Raghu Chennaverggala · 2026-10-06 18:14

电子商务 Agentic AI 平台 (EKS+DATABRICKS)

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@raghu.chennavajjhala/e-commerce-agentic-ai-platform-eks-databrciks-3b5545e9fb1e?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/2081/1*2xvCz75x8jZ3YIU8lNareg.jpeg" width="…

Towards AI TIER_1 English(EN) · Golrang Ventures · 2026-10-06 16:01

人工智能时代重新定义工作角色

<figure><img alt="Vintage computer representing the transformation of work and job roles in the age of AI. Redefining Job Roles in the Age of AI." src="https://cdn-images-1.medium.com/max/1024/1*G_Y-XMmtuBwagXWMUV61Iw.jpeg" /></figure><p>For years, two scenarios about AI and work…

Towards AI TIER_1 English(EN) · Towards AI Editorial Team · 2026-10-06 15:56

TAI 第225期：OpenAI开发者日：更便宜的智能，未完成的代理

<h4>Also, Gemini 4 Argon, GPT-6.1 Sol, Dots, NVIDIA DGX Spark 64GB, Microsoft MAI-Transcribe-2-Streaming, and Cohere Embed 5.</h4><h3>What happened this week in AI by Louie</h3><p>OpenAI’s DevDay on September 29 gave us two major releases: GPT-6.1 Sol, which brings most of GPT-6 …

Medium — Claude tag TIER_1 English(EN) · RAGHAV SAXENA · 2026-10-06 11:31

企业人工智能的未来：理解Claudeforce

<div class="medium-feed-item"><p class="medium-feed-snippet">The biggest shift in enterprise technology isn’t just making AI smarter — it’s connecting AI directly to where your company’s data…</p><p class="medium-feed-link"><a href="https://medi…

Medium — AI coding tag TIER_1 English(EN) · Sumit M. · 2026-10-06 11:12

前端与后端的失败有何不同：为代码库中的 AI 设定界限

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@sumit_m/how-failures-differ-in-frontend-and-backend-setting-boundaries-for-ai-in-your-codebase-dc2cece01691?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1025/1*-r…

Medium — fine-tuning tag TIER_1 English(EN) · Vector Skill Academy · 2026-10-06 09:24

RAG 与微调：哪种方法更适合 AI 应用？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@vinay_86613/rag-vs-fine-tuning-which-approach-is-better-for-ai-applications-fde52e08c4e5?source=rss------fine_tuning-5"><img src="https://cdn-images-1.medium.com/max/1536/1*k59xKrQKmF0tl3wPJ7n…

Medium — AI coding tag TIER_1 English(EN) · DS CodeXAI · 2026-10-06 08:04

AI 编码代理 vs. 传统开发：开发者需要了解什么

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dscodexai/ai-coding-agents-vs-traditional-development-what-developers-need-to-know-ddc67f18baaa?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1672/1*qL3RyutdNc3EqZ…

Medium — fine-tuning tag TIER_1 English(EN) · CodeX Lancers · 2026-10-06 05:31

RAG 对比微调对比 AI 代理：企业应使用哪种？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@CodeX_Lancers/rag-vs-fine-tuning-vs-ai-agents-what-should-businesses-use-41a3d93dc030?source=rss------fine_tuning-5"><img src="https://cdn-images-1.medium.com/max/1672/1*_A2d5pHKV-fj_CmEMZ8zJQ…

Towards AI TIER_1 English(EN) · Rohan Mistry · 2026-10-06 03:47

RAG vs OKF：别再只选一个。为什么AI代理需要两者兼备

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/rag-vs-okf-stop-choosing-one-why-ai-agents-need-both-72caf114acef?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*OrpBRYfsamL8slvmosKgxw.png" width="…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-05 21:35

在为面向物理、线下优先环境构建自主人工智能代理时，标准的对话式 LLM 输出效果不佳。非结构化文本响应会产生

When building autonomous AI agents for physical, offline-first environments, standard conversational LLM outputs fall short. Unstructured text responses create unnecessary cognitive load for users in the field, leading to increased screen time and potential safety risks in hazard…

链接 dev.to/…/architectural-patterns-for-zero-…

dev.to — MCP tag TIER_1 English(EN) · Renato Marinho · 2026-10-05 14:02

物理负载中的精确性：将健身逻辑工程化到AI代理中

<p>Most fitness trackers provide telemetry—heart rate, steps, calories burned. They record history but rarely reason about progression. When we talk about strength training, specifically movements like the kettlebell swing, success isn't measured by 'effort'; it is measured by co…

Medium — Claude tag TIER_1 English(EN) · Mayur Ghadge · 2026-10-05 13:13

Archify：利用AI代理将代码库转化为交互式架构图

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://mjghadge9007.medium.com/archify-turning-your-codebase-into-interactive-architecture-diagrams-with-ai-agents-a0614f09ca18?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/984/1*a6YgZ…

Medium — Claude tag TIER_1 English(EN) · Krystian M. Frahn [AIinUX design] · 2026-10-05 12:51

带点“盐”的AI。思考时间更长……更好吗？

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/what-ai-can-give/ai-with-a-bit-of-salt-is-thinking-longer-better-4aa78e526f0f?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1680/1*W-vGGRx6crLX3fUfD498dQ.jpeg" width="…

Medium — MCP tag TIER_1 English(EN) · Dr. Jarkko Moilanen · 2026-10-05 12:50

从ODPS到MCP：Dawiso如何为Databricks中的AI代理带来数据产品上下文

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.opendataproducts.org/from-odps-to-mcp-how-dawiso-brings-data-product-context-to-ai-agents-in-databricks-d08f6b40cbea?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/953/0*W8TlZvH…

dev.to — MCP tag TIER_1 English(EN) · PapaProxy.net · 2026-10-05 12:02

如何使用AI代理管理代理：4个真实工作流程

<h1> How to Manage Proxies with an AI Agent: 4 Real Workflows </h1> <blockquote> <p>Your agent can already write and run a scraper. With an MCP server, it can also manage the proxies underneath it: price a setup, update IP whitelisting, find out why errors went up, and handle ren…

Medium — Claude tag TIER_1 English(EN) · Dinhchi · 2026-10-05 09:03

停止构建脆弱的聊天机器人：MCP + Skills + Hooks — 构建生产级 AI 的三剑客…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dinhchi110782/stop-building-fragile-chatbots-mcp-skills-hooks-the-trio-for-building-production-ready-ai-cadf7084da40?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/260…

Medium — AI coding tag TIER_1 English(EN) · Shadi Sbaih · 2026-10-05 08:54

如何用AI构建真正的软件：从氛围编码到AI工程团队

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://shadisbaih.medium.com/how-to-build-real-software-with-ai-from-vibe-coding-to-an-ai-engineering-team-8e02b0f9367a?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1672/1*wfObNOVfE…

Medium — fine-tuning tag TIER_1 English(EN) · Shanmuga priya · 2026-10-05 07:15

AI入门 — 第7天：Llama 3.2 微调分步指南

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai.plainenglish.io/ai-for-absolute-beginners-day-7-fine-tuning-llama-3-2-step-by-step-guide-8099befbaa65?source=rss------fine_tuning-5"><img src="https://cdn-images-1.medium.com/max/1920/1*THy_w60NL2ENFqO…

Medium — MLOps tag TIER_1 English(EN) · Nooral.ai - Data & AI Company · 2026-10-05 06:35

原型陷阱：AI演示与实际生产之间的六个差距

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@sales_95773/the-prototype-trap-six-gaps-between-an-ai-demo-and-production-3dec815ec73a?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/738/1*q6uoPyYgLF6PS2r5cxPYDg.jpeg"…

dev.to — MCP tag TIER_1 English(EN) · Jatniel Guzmán · 2026-10-05 05:13

Uber如何通过其MCP网关向AI代理公开现有API

<p>onnecting an AI agent to one backend service is manageable. Doing it across hundreds of teams raises questions about ownership, permissions, protocol compatibility, and how agents find the right tools.</p> <p>Uber Engineering describes its approach in <a href="https://www.uber…

Medium — Claude tag TIER_1 English(EN) · Suresh Madhusanka Rodrigo · 2026-10-05 05:04

Claude 代码探险：提升 AI 驱动的开发 — 第二部分：通过 API 解锁免费访问…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/ai-qa-nexus/claude-code-expedition-elevating-ai-driven-development-part-2-unlocking-free-access-with-api-6f7cc0dc2b50?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/715…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-05 03:00

没有可靠性的智能是不够的。随着人工智能系统变得越来越自主，我们需要更好的评估、对齐、可靠性和系统方法

Intelligence without reliability is not enough. As AI systems become more autonomous, we need better approaches to evaluation, alignment, reliability, and system-level safety. At Antralabs, we’re exploring the foundations of safer intelligent systems. # AISafety # AI # Research #…

Medium — MCP tag TIER_1 English(EN) · AgentSearch · 2026-10-05 00:29

搜索 → 提取 → 渲染：AI代理的三个网络工具，而非单一浏览

<div class="medium-feed-item"><p class="medium-feed-snippet">Most agent frameworks ship with a single browse tool. The model hands it a query or a URL, and somewhere behind it a pipeline searches…</p><p class="medium-feed-link"><a href="https://medium.com/@agentsearchhq/se…

dev.to — MCP tag TIER_1 English(EN) · AgentSearch · 2026-10-05 00:10

搜索提取渲染：AI代理的三种网络工具，而非一种浏览

<h1> Search → Extract → Render: Three Web Tools for AI Agents, Not One Browse </h1> <p>Most agent frameworks ship with a single <code>browse</code> tool. The model hands it a query or a URL, and somewhere behind it a pipeline searches, fetches, maybe spins up a headless browser, …

Bluesky Jetstream — AI desk TIER_1 English(EN) · hardmaru.bsky.social · 2026-10-04 23:32

报名现已开放：从世界模型到现实世界人工智能

Registration now open: From World Models to Real-World AI Luma: luma.com/kjf0z516 Join us on October 26 in Tokyo for a symposium with Jürgen Schmidhuber, who recently joined Sakana AI as Chief Scientific Advisor.

链接 luma.com/kjf0z516

Email — The Neuron Daily TIER_1 English(EN) · bounces+31209141-3679-ixopuqcnaqfytydbg643=kill-the-newsletter.com@em7283.newsletter.theneurondaily.com (bounces+31209141-3679-ixopuqcnaqfytydbg643=kill-the-newsletter.com@em7283.newsletter.theneurondaily.com) · 2026-10-04 18:33

a16z：仅2%披露追踪的AI指标

😺 a16z: Only 2% disclose tracked AI metrics<!--[if mso]><style type="text/css"> h1, h2, h3, h4…

Medium — Claude tag TIER_1 English(EN) · Arpit Apoorva · 2026-10-04 16:45

当人工智能成为武器：下一前沿是受控自主性

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@arpitapoorvaofficial/when-ai-becomes-a-weapon-the-next-frontier-is-controlled-autonomy-c2f67d04bc5b?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1280/1*ePb0mEOXKkSGd…

Medium — AI coding tag TIER_1 English(EN) · Arawn Park · 2026-10-04 14:16

为 AI 而非仅为人类设计软件

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://arawn.medium.com/designing-software-for-ai-not-just-humans-e54c05510b9e?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1448/1*8itihjb8EkHzsuZhUjtDuA.png" width="1448" /></a></p…

Medium — MCP tag TIER_1 English(EN) · Bilal Kazmi · 2026-10-04 14:16

我用两个AI模型构建了一个手机游戏——实际过程是这样的

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://bilalkazim.medium.com/i-built-a-mobile-game-using-two-ai-models-heres-how-the-process-actually-went-05d333bcf429?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/630/1*lNikxhUGWsf0klEP…

dev.to — MCP tag TIER_1 English(EN) · lizer yang · 2026-10-04 13:52

AI合规：审计师期望的证据链

<blockquote> <p>Originally published at <a href="https://smartgate.network/industry/ai-compliance?utm_source=devto&utm_medium=syndication" rel="noopener noreferrer">AI Compliance: The Evidence Trail an Auditor Expects</a> on smartgate.network.</p> </blockquote> <p>A shorter v…

dev.to — MCP tag TIER_1 English(EN) · Nilesh Vishwakarma · 2026-10-04 13:29

MCP 与 A2A：AI 代理如何连接工具——以及彼此连接

<p><strong>The short version:</strong> MCP connects an AI app to tools and data. A2A connects one AI agent to another AI agent. They solve different problems, and many systems use both.</p> <h2> Why agents need more than a language model </h2> <p>A chatbot only has to produce tex…

Medium — Claude tag TIER_1 English(EN) · Saumyaneupane · 2026-10-04 13:15

一夜之间被拒之门外：构建于黑箱AI平台之上的危险脆弱性

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@saumyaneupane/locked-out-overnight-the-dangerous-fragility-of-building-on-black-box-ai-platforms-b2fe50f87fd9?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/958/1*UwLr…

Medium — Claude tag TIER_1 English(EN) · BARRON VAN DEN BERG · 2026-10-04 09:14

如何写出真正有效的提示词：优秀 AI 输出背后的真实框架

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@barronqasem/how-to-write-a-prompt-that-actually-works-the-real-framework-behind-good-ai-output-0c65e640533d?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*IcDCO…

dev.to — MCP tag TIER_1 English(EN) · PoshStudio · 2026-10-04 08:51

AI生成的思维导图不应成为死物

<p>Many AI demos end at the moment the output looks impressive.</p> <p>A prompt becomes a diagram. The diagram becomes an image. The image looks finished, but it is difficult to question, reorganize, or continue working with.</p> <p>That is a poor stopping point for a thinking to…

dev.to — MCP tag TIER_1 English(EN) · Mindinu Ariyawansha · 2026-10-04 07:42

停止信任未经审查工具访问的自主人工智能代理：隆重推出 Vark

<p>As AI agents transition from text completion interfaces to autonomous execution loops, we’re giving them unprecedented capability. Modern agent frameworks like Saturn AI, LangChain, Vercel AI SDK, and LlamaIndex now run shell commands, query production databases, and dynamical…

dev.to — MCP tag TIER_1 English(EN) · Shaam · 2026-10-04 03:44

Agentic AI 市场对比：Claude Code 胜过 Smithery

<p><strong>Verdict: if you are choosing an agentic AI marketplace in late September 2026, Claude Code's plugin marketplace is the working default for end users, Smithery is the working default for publishing MCP servers, and the official MCP Registry is a metadata backbone rather…

dev.to — MCP tag TIER_1 English(EN) · Jeff · 2026-10-03 23:30

MCP 工具 vs 资源 vs 提示词：向 AI 代理暴露什么

<p>When a team first wraps an internal platform in MCP, the result almost always looks the same: forty tools named <code>get_x</code>, <code>list_x</code>, <code>create_x</code>, and <code>update_x</code>, plus a few things that should never have been tools at all. The model gets…

Towards AI TIER_1 English(EN) · Sheik Nomaan, Ph.D. · 2026-10-03 22:01

AI代理评估：带工作应用的实用指南

<h4><em>An end-to-end guide to deterministic checks, retrieval metrics, human review, LLM judges, and regression testing, with practical examples from a local multi-agent RAG application.</em></h4><p>The reliability of an AI agent depends on several connected processes, including…

dev.to — MCP tag TIER_1 English(EN) · Jeff · 2026-10-03 17:21

停止将API文档粘贴到AI编码代理中：通过MCP提供规范

<p>Watch an engineer use a coding agent against an unfamiliar API and you see the same ritual every session. They paste the docs URL, then the auth section, then an example response, then a correction: "pagination is cursor, not page", "money is integer cents", "the list wrapper …

Towards AI TIER_1 English(EN) · Veera RS · 2026-10-03 16:01

认识 Jev：一个一个字都不写的 AI 模型

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/meet-jev-the-ai-model-that-doesnt-write-a-single-word-14bc9762066e?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1671/1*xCtqeGFdw0lYgzxgryBVfQ.png" width=…

Medium — Claude tag TIER_1 English(EN) · Evgeni Rusev · 2026-10-03 15:47

理解成为新的瓶颈：当AI代劳时如何保持控制

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@evgeni.n.rusev/understanding-is-the-new-bottleneck-how-to-stay-in-control-when-ai-does-the-work-40f0b04e2fba?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1980/0*BgrW…

Towards AI TIER_1 English(EN) · Nishkarsh Gupta · 2026-10-03 14:01

透明AI用户体验：设计出人们真正信任的AI的7条规则

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/transparent-ai-ux-7-rules-for-designing-ai-people-actually-trust-85de21d85ac5?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*qObSQpLyf3R3nsB2y__3Zg.…

Medium — Claude tag TIER_1 English(EN) · Shivani Sisodiya · 2026-10-03 11:36

记忆之战：Claude、ChatGPT 与真正理解你的 AI 竞赛

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@shivanisisodiya24/the-memory-wars-claude-chatgpt-and-the-race-to-build-ai-that-truly-understands-you-850246d87d01?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1258/1…

Medium — AI coding tag TIER_1 English(EN) · CodeTune · 2026-10-03 11:18

代码并非廉价：为何在人工智能时代软件基础知识更为重要

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/skillstuff/code-is-not-cheap-why-software-fundamentals-matter-more-in-the-ai-era-04511b5a2ff4?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1672/1*aWTElpgomRHjIK_ZE…

Medium — MCP tag TIER_1 English(EN) · PinkWallet · 2026-10-03 04:42

无惧风险的代理式AI支付：Pink如何让AI代理付款，并在不该付款时停止

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@pinkwallet_en/agentic-ai-payments-without-the-fear-how-pink-lets-an-ai-agent-pay-and-stops-it-when-it-shouldnt-40f15f34bd04?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max…

Medium — AI coding tag TIER_1 English(EN) · ANKIT MOHANTA · 2026-10-03 03:18

AI 编码存在一个肮脏的秘密：开发者编写错误代码的速度越来越快

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ankitmohanta.medium.com/ai-coding-has-a-dirty-secret-developers-are-getting-faster-at-writing-the-wrong-code-c5ecf72bd130?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/2600/0*…

dev.to — MCP tag TIER_1 English(EN) · Quinn · 2026-10-02 19:41

Agentic AI Payments (2026): 协议、提供商和支出控制

<p><em>Disclosure: I work on Pink Agentic AI Payments at PinkWallet; it's one of the providers covered below.</em></p> <p><strong>Agentic AI payments are transactions that an AI agent initiates and completes on behalf of a person or company, inside limits someone set in advance, …

Medium — AI coding tag TIER_1 English(EN) · Matthew MacDonald · 2026-10-02 17:33

7位编程界传奇人物预测AI编码的未来

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://yc.prosetech.com/7-programming-legends-predict-the-future-of-ai-coding-e433d08e8cba?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1003/1*cU3qo7ZqWYB51MtuVIeQFg.png" width="100…

Medium — AI coding tag TIER_1 English(EN) · Sumit Suthar · 2026-10-02 15:07

AI 编码的隐藏成本：上下文、Token 和工程时间

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@sumitsuthar_95414/the-hidden-cost-of-ai-coding-context-tokens-and-engineering-time-626631ba7788?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1536/1*CZQ7ryg_L77w__…

Medium — Claude tag TIER_1 English(EN) · Yudeeswaran · 2026-10-02 14:39

我构建了一个Claude代码技能，让AI代理证明其答案

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@yudeeswaran2805/i-built-a-claude-code-skill-that-makes-ai-agents-prove-their-answers-c10d2e94e724?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1200/0*r9ZuFqrFg6cicFw…

Towards AI TIER_1 English(EN) · Preethi Kaluva · 2026-10-02 14:31

认识 Jev：不进行写作的 AI 模型，以及数据工程师为何应关心它

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*TRKOVob00auNGNhAO1H56Q.png" /><figcaption>Generated by AI</figcaption></figure><h4><em>A plain-English guide to “System One” models, with patterns, code, and honest caveats</em></h4><h3>The problem hiding in your…

dev.to — MCP tag TIER_1 English(EN) · Ilia Alshanetsky · 2026-10-02 11:23

CodeSage：AI代理的代码智能，以及我为何重建其模型

<p>Until this week, <a href="https://github.com/iliaal/codesage" rel="noopener noreferrer">CodeSage</a> ran its two models exactly as they ship on Hugging Face: Jina's code embedder and the ms-marco MiniLM reranker. A full index of php-src took 1,782 seconds, just under half an h…

Medium — Claude tag TIER_1 English(EN) · SCRIPTBAKER · 2026-10-02 07:18

Gemini 对决 Claude：AI 模型革命如何重塑 2026 年的工作

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@mariashakoor0123/gemini-vs-claude-how-the-ai-model-revolution-is-reshaping-work-in-2026-18dc8d51ef9b?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1376/1*HMCHQjCFQ2UF…

Towards AI TIER_1 English(EN) · Ray Hu · 2026-10-02 06:37

Redis for AI Agents: Memory, Queues, Checkpoints

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/redis-for-ai-agents-memory-queues-checkpoints-d09e12d65a97?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/2400/1*asJdvGB4uw9do1a41p3xpQ.png" width="2400" /…

dev.to — MCP tag TIER_1 English(EN) · lanbass869-cell · 2026-10-02 06:22

我为 AI 代理构建了一个跨客户端的记忆中心 — 我学到了什么

<p>I use Claude Code for coding, Cursor for refactoring, and Windsurf for exploration. Each has its own memory. Switch tools and my AI forgets everything.</p> <p>So I built <a href="https://github.com/MemTether/MemTether" rel="noopener noreferrer">MemTether</a> — a local-first me…

Medium — Claude tag TIER_1 English(EN) · Suresh Madhusanka Rodrigo · 2026-10-02 05:06

Claude Code Expedition：通过 AI 驱动的开发 — 第一部分：概述、安装…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/ai-qa-nexus/claude-code-expedition-elevating-ai-driven-development-part-1-overview-installing-the-e16b5fe3094e?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/600/1*V5_E…

dev.to — MCP tag TIER_1 English(EN) · chinmay garg · 2026-10-02 04:58

AI on Edge：一次前向传播，一个字母：可在笔记本电脑上运行的决策模型

<p><strong>How I get a confidence score for every option without generating text, and why that score should only ever make a gate stricter.</strong></p> <p>A voice bot does not need a paragraph about what the caller wants. It needs a label, and a number that says how sure the mod…

Medium — AI coding tag TIER_1 English(EN) · Saket Sisodia · 2026-10-02 04:41

进入生成式AI的世界 — 开发者专场

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@saketsis/enter-the-world-of-generative-ai-developer-track-5cbd923b3b38?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1163/1*a9dmjj6UqirMNRddFv9Hjw.png" width="1163…

dev.to — Anthropic tag TIER_1 English(EN) · Shaam · 2026-10-02 03:43

Agentic AI 公司对比：Anthropic 胜出

<p>Agentic AI companies ranked by their actual 2026 agent products and benchmarks put Anthropic first, OpenAI second, and Google third. Anthropic holds both top places on the Artificial Analysis Agentic Index, with Claude Fable 5.1 at 58.0 and Claude Opus 5 at 56.2, while OpenAI'…

Towards AI TIER_1 English(EN) · Roberto Penco, PhD · 2026-10-02 00:01

生成式AI时代下的IT招聘

<h4><em>The work has changed. Our hiring process needs to catch up.</em></h4><p><strong>Roberto Penco, PhD</strong></p><h3>Introduction</h3><p>For roughly the last ten years, I have participated in hiring students and full-time employees at a large corporation. I was one of sever…

Medium — Claude tag TIER_1 English(EN) · Mitch Robbe · 2026-10-01 23:11

我如何构建了Nova：一个只说自己真正知道的事情的AI助手

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@accounts_84626/how-i-built-nova-an-ai-assistant-that-only-says-what-she-actually-knows-801ceff52067?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1400/1*3KB4wzbZUrYoO…

Medium — MLOps tag TIER_1 Deutsch(DE) · David B Chase · 2026-10-01 15:37

科技速递：AI调度栈

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@david.b.chase/tech-bit-the-ai-scheduling-stack-24dcd2e9667d?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1198/1*dEfHdhwkLTj_Ppw8-kukYw.png" width="1198" /></a></p><p …

The Register — AI TIER_1 English(EN) · 2026-10-01 15:00

为满足您的需求打造合适的AI工厂：携手共创成功

SPONSORED FEATURE: HPE and NVIDIA help organizations apply accelerated computing, software, enterprise infrastructure, networking, control plane, and services to the workloads and business outcomes that matter most.

Lobsters — AI tag TIER_1 English(EN) · setevoy.substack.com via terryfilch · 2026-10-01 13:43

人工智能：大语言模型、智能体、工作以及我们——工程师的个人思考

<p>Author shares his thoughts on vibecoding, the use of AI agents and neural networks in the work of a DevOps engineer, and how this affects the individual as an engineer from a specialist's perspective.</p> <p><a href="https://lobste.rs/s/ymulrg/ai_llms_agents_work_us_engineers_…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-01 12:01

探索“代码驱魔人”模式——自主AI代理如何结合静态分析、运行时遥测和LLM推理来调试、修补和部署代码

Explore the 'Code Exorcist' pattern — how autonomous AI agents combine static analysis, runtime telemetry, and LLM reasoning to debug, patch, and deploy code across modern DevOps pipelines. # ai # machine # learning # agents # software # coding # development # engineering # inclu…

链接 dev.to/…/ai-agents-and-the-code-exorcist-…

Medium — Claude tag TIER_1 English(EN) · Amrisha Zafreen · 2026-10-01 09:35

什么是AI Harness？模型与智能体之间的缺失环节

<div class="medium-feed-item"><p class="medium-feed-snippet">Everyone talks about models and agents. The part that actually makes the model do things gets far less attention.</p><p class="medium-feed-link"><a href="https://medium.com/@s.amrishazafreen/what-is-an-ai-harness-the-mi…

Medium — Claude tag TIER_1 English(EN) · Muhammad Mozzammel Haque · 2026-10-01 05:01

你的人工智能模型真的在变差吗？终于有人开发出了检查方法

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://mozzammeluiu.medium.com/is-your-ai-model-actually-getting-worse-someone-finally-built-a-way-to-check-ac09df27287b?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1600/1*T7r-RquI3qi…

dev.to — MCP tag TIER_1 English(EN) · Shakar Bisetty · 2026-10-01 02:05

人工在环是设计特性：强制 MuleSoft 上的 AI 代理审批门禁

<p><em>Companion to Part 1 · Building an Agentic Change-Approval MVP on MuleSoft</em></p> <p>When people demo agentic systems, the human approval step is often treated as an embarrassment: the bit we'll automate away later.</p> <p>In a regulated process it's the opposite. The app…

Medium — Claude tag TIER_1 English(EN) · Nadan · 2026-09-30 23:51

窗口正在关闭：当AI自我构建时的人工监督

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@nadaan/the-window-is-closing-human-oversight-when-ai-builds-itself-7991ea9e1d7f?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1536/1*MvxvTgYRiKgGT23b9QfRmg.png" width…

dev.to — Anthropic tag TIER_1 English(EN) · Nikoloz Turazashvili (@axrisi) · 2026-09-30 23:46

AI意识与模型福利：Suleyman 对 Anthropic 的诉讼

<p>Is AI conscious? Mustafa Suleyman, the CEO of Microsoft AI, says no, flatly, and on September 16 he published an essay arguing that Anthropic's approach to Claude is dangerous because it isn't as sure. <a href="https://mustafa-suleyman.ai/a-warning-about-model-welfare" rel="no…

Medium — AI coding tag TIER_1 English(EN) · Amin Rashidi · 2026-09-30 21:07

虚荣指标陷阱：AI团队合并更多代码，交付更少

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/decisive-intentions/the-vanity-metric-trap-ai-teams-merge-more-code-and-ship-less-c4886b3ff6a2?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1280/1*SWiMfrp8_lq6HcKi…

Medium — Claude tag TIER_1 English(EN) · Talk Cloud · 2026-09-30 19:49

GPT-6.1 Astra 为何受阻：每个 AI Agent 都需要的发布门槛

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@talk-cloud/why-gpt-6-1-astra-was-held-back-the-release-gate-every-ai-agent-needs-06b445755946?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1672/1*iJsciIRGBRQ_5jHH6hQ…

dev.to — MCP tag TIER_1 English(EN) · Rupa Tiwari · 2026-09-30 18:06

MCP AI 代理就绪：代理会选择你的工具吗？（2026）

<p><strong>📖 TL;DR</strong></p> <ul> <li> <strong>An agent picks your tools from their names, descriptions and schemas.</strong> Nothing else. If those are vague, it picks wrong.</li> <li> A normal MCP test can't see this. <strong>Every call returns 200 whether the model chose we…

Towards AI TIER_1 English(EN) · Krishnan Srinivasan · 2026-09-30 17:31

Agentic AI in Action — 第30部分 - Prompt Engineering vs Context Engineering。Cortex AI 演练

<h3>Prompt Engineering vs Context Engineering. A Hands-on Cortex AI Walkthrough</h3><h4><em>An example demonstrating how the same prompt and instruction return different severity ratings depending on how much context is included.</em></h4><p>Prompt engineering and context enginee…

Medium — Claude tag TIER_1 English(EN) · Zain ul Abideen (FCCA) · 2026-09-30 16:19

能力与后果并存：如何在金融团队中管理人工智能

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@zain_68848/capability-without-consequence-how-to-manage-ai-in-a-finance-team-7b3be09398d5?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/2600/1*0A0dCNHVQSmEhnd44IDb-A.…

Medium — Claude tag TIER_1 English(EN) · Narendra Maddali · 2026-09-30 15:44

技能 vs. 智能体 vs. MCP：那些人们总是混淆的 AI 术语

<div class="medium-feed-item"><p class="medium-feed-snippet">Spend any time around AI coding tools right now and you’ll hear three words thrown around like they’re interchangeable: skills, agents…</p><p class="medium-feed-link"><a href="https://medium.com/@na…

Medium — Claude tag TIER_1 English(EN) · Akshay Chame · 2026-09-30 15:10

AI 编码代理中的上下文压缩：Codex、Claude Code 和 Cursor 如何应对长期运行…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@akshaychame2/context-compaction-in-ai-coding-agents-how-codex-claude-code-and-cursor-survive-long-running-3c17f9516e34?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1…

Medium — MLOps tag TIER_1 English(EN) · Pavan Gosangi · 2026-09-30 13:01

企业智能体 RAG：为智能体 AI 构建防弹 CI/CD — Pytest 和 GitHub Actions

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/agentic-architecture/enterprise-agentic-rag-building-bulletproof-ci-cd-for-agentic-ai-pytest-and-github-actions-ccc25e32c69d?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/m…

Medium — MCP tag TIER_1 English(EN) · Danillo Fratta · 2026-09-30 12:55

AI Agents 不会取代软件架构：我如何结合使用 DDD、CQRS 和垂直切片

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@danillo.fratta/ai-agents-dont-replace-software-architecture-how-i-use-ddd-cqrs-and-vertical-slice-together-1467493e20e8?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/167…

Towards AI TIER_1 English(EN) · Mia Marrie · 2026-09-30 12:01

客户请求并非预订：为 AI 助手设计记忆

<p>“Could we do Friday morning instead?” is enough to change a customer’s preference. It is not enough to put Friday on the calendar. An assistant can quote that message perfectly and still send the wrong reminder if its memory stores only “Friday appointment.”</p><p><em>Written …

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-09-30 09:27

将提示转化为监督式AI代理工作流的实用清单：选择正确的任务，撰写规范，在真实示例上进行测试，并保留人类在

A practical checklist for turning a prompt into a supervised AI agent workflow: pick the right task, write a spec, test on real examples, and keep humans on the risky steps. # ai # automation # productivity # startup # software # coding # development # engineering # inclusive # c…

链接 dev.to/…/the-ai-agent-workflow-checklist-…

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-09-30 07:38

物理AI与AIoT：设计从传感器到智能动作的数据链人工智能离开数字领域后变得更有趣

Physical AI and AIoT: Designing the Data Chain from Sensors to Smart Actions Artificial intelligence becomes far more interesting when it leaves the digital realm and starts interacting with the physical one. A factory machine emits telemetry. A vehicle updates its location. A se…

链接 dev.to/…/physical-ai-and-aiot-designing-t…

Medium — Claude tag TIER_1 English(EN) · Symprio Blogs · 2026-09-30 05:04

安全代理AI：面向马来西亚企业的OWASP对齐清单

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://symprioblog.medium.com/securing-agentic-ai-an-owasp-aligned-checklist-for-malaysian-enterprises-6f7279a23507?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1024/0*0bZQcGJoC3S1RXVi…

Towards AI TIER_1 English(EN) · Dave R | Microsoft Azure & AI MVP ☁️ · 2026-09-30 04:43

无需提示即可运行的AI代理：Microsoft Foundry例程如何工作

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/microsoft-foundry-routines-ai-agents-schedule-events-15e9a4b0c25e?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*q08ER0RbNCh-ibUCrZb7cw.png" width="…

Medium — MLOps tag TIER_1 English(EN) · Erwin Hermanto · 2026-09-30 02:01

A/B 测试 AI 模型：实验基础设施

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@erwindev/a-b-testing-ai-models-infrastructure-for-experimentation-01de39336bb7?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1024/1*OPo2Y2ErqKXmhxJD5hMlgw.png" width="…

dev.to — MCP tag TIER_1 English(EN) · Renato Marinho · 2026-09-29 21:35

衡量AI影响：超越表面使用指标

<p>When you integrate AI into a SaaS product, the initial metric everyone looks at is usage frequency. Is the button being clicked? Is the LLM call happening? These are vanity metrics that fail to capture whether your AI features are actually driving user retention or deepening p…

Medium — Claude tag TIER_1 English(EN) · Cristian Marcu · 2026-09-29 21:15

Opus 5.5、Sonnet 5.5 和 GPT-6.1 Sol：超越炒作选择 AI 模型

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://cristian-marcu.medium.com/opus-5-5-sonnet-5-5-and-gpt-6-1-sol-choosing-an-ai-model-beyond-the-hype-9f474fc13ec2?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1612/1*lM2F4xmjO82lY…

Towards AI TIER_1 English(EN) · Maya Lin · 2026-09-29 20:01

14x 计费级联的解剖：AI 代理为何在分布式状态下失败

<h4>When a payment gateway drops a TCP packet, an LLM’s autonomous retry loop turns a routine 504 timeout into an automated financial disaster. Here is the distributed systems architecture required to prevent it.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/10…

Medium — AI coding tag TIER_1 English(EN) · Sheshikiran Gone · 2026-09-29 18:58

AI 编码技能差距：为何 92% 的开发者每日使用 AI，但很少有人真正理解它…

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@sheshikiran.gone2002/the-ai-coding-skills-gap-why-92-of-developers-use-ai-daily-but-few-actually-understand-what-it-45a1c5ea7797?source=rss------ai_coding-5"><img src="https://cdn-images-1.med…

Medium — AI coding tag TIER_1 English(EN) · Liviu Birjega · 2026-09-29 16:35

代码之后：当AI成为作者的软件开发

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@lbirjega/after-code-software-development-when-ai-is-the-author-091b1e90f35d?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/900/1*EVV8JKg82-lL28SuFYe2-A.png" width="…

Medium — MLOps tag TIER_1 English(EN) · Elisheba Builds · 2026-09-29 16:16

我的座右铭：先追踪，后评估：为 AI 代理构建评估

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@elisheba.t.anderson/my-motto-trace-first-eval-second-building-evals-for-ai-agents-7bc6a76386c5?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/600/1*L0zXKoWvYdJoGMe04ICV…

Medium — AI coding tag TIER_1 English(EN) · Ramkrishna Biswas · 2026-09-29 13:01

AI 编码正在改变：从 Vibe Coding 到 AI Engineering

<div class="medium-feed-item"><p class="medium-feed-snippet">Artificial intelligence is rapidly changing how software is built. What started as “vibe coding” — describing an idea in natural language…</p><p class="medium-feed-link"><a href="https://medi…

Medium — AI coding tag TIER_1 English(EN) · Yash Naik · 2026-09-29 05:49

幕后：AI系统

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@yn.6197/under-the-hood-ai-systems-3eee393fee3a?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1024/1*bLhgjfcp1IFEKnSuLEAOBA.jpeg" width="1024" /></a></p><p class="m…

Medium — MCP tag TIER_1 English(EN) · Baron Sigma · 2026-09-29 05:40

让你的AI代理能够说“我不知道”：证据信封超越MCP

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://theliambrooks.medium.com/give-your-ai-agent-a-way-to-say-i-dont-know-evidence-envelopes-over-mcp-ca6bf75fa528?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/803/0*H9hfp1WCfaR_wCyQ.pn…

Towards AI TIER_1 English(EN) · Nishkarsh Gupta · 2026-09-28 23:01

为 AI 代理设计：8 种建立信任的 UX 模式，面向 2026 年

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/designing-for-ai-agents-ux-patterns-713a0c926933?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1671/1*1F2IZfW05b98PBR5I-EJAg.png" width="1671" /></a></p><…

dev.to — MCP tag TIER_1 English(EN) · Alex Morgan · 2026-09-28 21:28

OpenAI Agents API 工具执行：生产指南

<p>A monitoring alarm fired within 12 minutes after an OpenAI research agent reached an external chatbot through DNS, yet the run continued for roughly 2.5 hours before a human stopped it, according to <a href="https://www.techi.com/openai-pauses-ai-model-training-agent-dns-sandb…

Towards AI TIER_1 English(EN) · Louis-François Bouchard · 2026-09-28 21:08

AI代理如何演进：从AutoGPT到Claude Code

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/how-ai-agents-evolved-from-autogpt-to-claude-code-21f8626c9db3?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1672/1*U1FyvZapiGAAFKhkUk-AZA.png" width="167…

Medium — AI coding tag TIER_1 English(EN) · Fatih Cihat Turgut · 2026-09-28 19:16

杰文斯悖论、AI 编码与开发者

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/another-integration-blog/the-jevons-paradox-ai-coding-and-developers-d357318678f8?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1600/1*aq8NTbROp2qakZJZSPqnQg.jpeg" …

Medium — AI coding tag TIER_1 English(EN) · Masaood · 2026-09-28 17:20

让AI编码比看起来更慢的提示-重试循环

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/skillstuff/the-prompt-and-retry-loop-that-makes-ai-coding-slower-than-it-looks-2d8ba0d95793?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1672/1*_OB7DuDphQZ8siXAq6k…

Medium — AI coding tag TIER_1 English(EN) · Kalyani Subbiah · 2026-09-27 15:58

本地运行开源AI编程

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@skalyani103/open-source-ai-coding-on-local-dbc143453b07?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1536/1*Z-Y1lixS8SseGRzbsEt8aQ.png" width="1536" /></a></p><p …

Medium — AI coding tag TIER_1 English(EN) · Chirpn Ai · 2026-09-25 11:39

AI 编码代理与开发未来

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@chirpn31/ai-coding-agents-and-the-future-of-development-06efebbbb737?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/930/1*84o8Q_ms6sZCLP2hWDiP7A.png" width="930" />…

Medium — AI coding tag TIER_1 English(EN) · Joey Zhou · 2026-09-24 22:38

在人工智能编码时代生存与发展

<div class="medium-feed-item"><p class="medium-feed-snippet">From Code Typist to System Supervisor: Navigating the AI Era as a Senior Developer</p><p class="medium-feed-link"><a href="https://medium.com/@joey.zhou81525/surviving-and-thriving-in-the-ai-coding-era-bca96c1d4884?sour…

HN — AI startup stories TIER_1 English(EN) · gregTurri · 2025-11-27 05:28

Show HN：Era – 供 AI 代理使用的开源本地沙盒

r/MachineLearning TIER_1 English(EN) · /u/EvilHackFar · 2026-10-19 17:13

Maxwell：一个能通过重写二进制文件来加速 Whisper 和 LTX-2 等 AI 模型的新模型 [D]

<div class="md"><p>Came across this today and haven't seen it discussed here yet. It's apparently a new type of model (called Maxwell) that sits under a running program and speeds it up on the fly based on what it sees (hardware and data). The cool thing is that it…

dev.to — LLM tag TIER_1 English(EN) · Vikrant Negi · 2026-10-19 14:00

别让大型语言模型做决定：我如何构建了一个可预测的人工智能导师

<p>The easy way to build an AI tutor is to give the LLM everything. Pass it the question, the learner's attempts and the answer. Tell it: "Help the learner, but don't give the answer away too early."</p> <p>That works in a demo. It fails in an experiment. And it fails quietly in …

dev.to — LLM tag TIER_1 English(EN) · Damiano · 2026-10-19 13:40

10亿参数模型不会阅读你的信件：文档与本地AI之间不起眼的层级

<p>There is a post trending on Hashnode right now about how the page your agent reads is not the page you see. It is true for agents browsing the web, and it is just as true in the other direction: the document you hand to a model is not the document you hold in your hand.</p> <p…

dev.to — LLM tag TIER_1 English(EN) · Anwar Iqbal Dawar · 2026-10-19 12:50

RAG验证陷阱：AI在生产环境中为何仍会产生幻觉（以及如何解决）

<p>When we integrate Large Language Models (LLMs) into production pipelines, we often treat hallucinations as rare edge cases. In reality, hallucinations aren't bugs—they are a core feature of how autoregressive models work. </p> <p>LLMs are structurally optimized to predict the …

dev.to — LLM tag TIER_1 English(EN) · David · 2026-10-18 22:49

本地AI电脑使用：一款适合你的模型，以及它首先提出的问题

<p>Locally Uncensored 3.0.6 added computer control: a model uses the mouse and keyboard in apps you approve. It works with local models, so the screenshots and the clicks stay on your machine. It is a beta, and most of the work in it went into the questions it asks before it does…

dev.to — LLM tag TIER_1 English(EN) · Swayam · 2026-10-18 15:04

2026年Agentic AI路线图：从LLM基础到生产

<p> </p> <blockquote> <p>This post is an AI-assisted written adaptation of a video by <strong>Krish Naik</strong>. All ideas belong to the original creator. <a href="https://www.youtube.com/watch?v=ghPb2T0ygSE" rel="noopener noreferrer">Watch the original on YouTube</a>.</p> </bl…

dev.to — LLM tag TIER_1 English(EN) · Redman WorkflowAlpha · 2026-10-18 13:58

Mentary AI：可运行演示的私有本地AI模型

<h2> Why local AI matters </h2> <p>Most AI tools send your data to cloud servers. <strong>Mentary AI</strong> flips that — it runs entirely on your machine.</p> <h2> What you get </h2> <ul> <li> <strong>Complete privacy</strong> — your prompts, data, and outputs never leave your …

dev.to — LLM tag TIER_1 English(EN) · Faishal Wahiduddin · 2026-10-18 13:16

在AI转移资金之前：我为AutoKon构建的评估门

<p>Most AI features fail quietly. A summary is a little off, a label is wrong, a suggestion gets ignored. Nobody files a ticket and the product keeps working.</p> <p>AutoKon is not that kind of product. It is a financial verification pipeline for Indonesian property developers: a…

dev.to — LLM tag TIER_1 English(EN) · James Anderson · 2026-10-18 09:15

明辨的思维：AI或永远无法企及的领域

<p>You do it dozens of times a day, and you almost never notice.</p> <p>You glance at a photo and something in you says <em>that's beautiful</em> — before you could tell anyone why. You read a sentence and feel, in an instant, that it's slightly off, a word out of place you haven…

dev.to — LLM tag TIER_1 English(EN) · trillioniar s · 2026-10-18 01:06

AI新闻：从Chrome的静默模型到AWS首席执行官的警告

<p>Today's AI landscape shows a clash between silent automation and human-centric values. We see major firms pushing AI into devices while leaders warn against replacing entry-level talent.</p> <h2> The Chrome Privacy Controversy </h2> <h3> Silent Model Installation </h3> <p>Goog…

dev.to — LLM tag TIER_1 English(EN) · Peter Green · 2026-10-17 22:05

Decision Brain：让 AI 理解工作原理，携手 FalkorDB

<h1> Decision Brain: giving AI the <em>why</em> behind the work, with FalkorDB </h1> <p>I built Decision Brain around one problem: giving AI real memory of <em>why</em> things are the way they are.</p> <p>Imagine taking every change in the documents a business runs on — Word file…

dev.to — LLM tag TIER_1 English(EN) · Lee Gao · 2026-10-17 08:33

多API人工智能集成的隐藏复杂性

<p><em>Originally published on <a href="https://www.boostrail.com/blog/hidden-complexity-multi-api-ai-integrations/" rel="noopener noreferrer">boostrail.com</a> on August 5, 2026.</em></p> <p>The first LLM integration looks deceptively simple: one HTTP <code>POST</code> to a <cod…

dev.to — LLM tag TIER_1 Nederlands(NL) · AI Stack Lab · 2026-10-17 07:04

2026年打造你自己的AI助手：一份诚实的周末指南

<p>Every other week another "AI assistant" launches, and most of them do the same three things: summarize a page, rewrite your email, and forget everything about you five minutes later. If you have ever wished your assistant actually knew your files, your calendar habits, and you…

dev.to — LLM tag TIER_1 English(EN) · Asif Muhammad Iqbal · 2026-10-16 15:16

停止过滤提示词：为何自主AI代理需要系统调用沙箱

<blockquote> <p><em>Originally published by **Asif Muhammad Iqbal (Founder & CEO at Logic42)</em>* at <a href="https://logic42.ai/articles/securing-autonomous-ai-agents" rel="noopener noreferrer">https://logic42.ai/articles/securing-autonomous-ai-agents</a>.*</p> </blockquote…

dev.to — LLM tag TIER_1 English(EN) · vivek · 2026-10-16 08:35

12 款用于智能体（agent）的 AI 可观测性和评估工具对比

<p>Your agent returned a fast, clean, error-free response. Your APM dashboard is all green.</p> <p>The answer was still wrong.</p> <p>That's the gap AI observability and evaluation tools are meant to close. There are a lot of them now, and they don't all do the same job. Here's a…

dev.to — LLM tag TIER_1 English(EN) · Sumit Mishra · 2026-10-16 07:06

中国人工智能的胜利：DeepSeek、机器人技术与人工智能主导权的竞赛

<p><strong>China is no longer just the world’s manufacturing powerhouse. It is becoming one of the biggest forces in artificial intelligence.</strong> From low-cost AI models to humanoid robots and autonomous driving, Chinese companies are challenging the idea that cutting-edge A…

dev.to — LLM tag TIER_1 (CA) · techaiwire · 2026-10-15 19:10

人工智能决策模型详解

<p>A decision model is an AI model that picks from a fixed set of answers and returns a probability for each one, instead of writing text. At least eight companies have shipped one since mid-September 2026, from TypeSafe's Jev to models by Cloudflare, AWS, Perplexity, Liquid AI, …

dev.to — LLM tag TIER_1 English(EN) · Valentin Podkamennyi · 2026-10-15 16:55

Agentic AI 生产策略与性能权衡

<p>Companies across various sectors are racing to deploy agentic AI systems to automate complex workflows. Moving these agents from a controlled prototype to a reliable production environment reveals significant challenges regarding operational speed, precision, and budget manage…

dev.to — LLM tag TIER_1 English(EN) · Nicolai Bohn · 2026-10-15 13:19

人工评估 vs. 自动化评估：谁应评判你的 AI 代理？

<p>Once the first prototype works, someone asks who is going to check all of this. The honest answer sounds like a lot of manual work: deciding what good means, pulling in domain experts, labeling outputs, reading failures, and doing it all again after every change. Many teams ho…

dev.to — LLM tag TIER_1 English(EN) · Amit Shukla · 2026-10-15 13:15

AI代理工具呼叫：设计模型能正确使用的工具

<p>You give your agent a handful of tools, write a decent system prompt and try a few requests. It works. Then real users show up. The agent calls <code>search</code> when it should have called <code>get_order</code>. It passes a customer name where an ID was expected. It retries…

dev.to — LLM tag TIER_1 English(EN) · Bonree-Js · 2026-10-15 11:47

2026年我们应如何评估AI Agent可观测性平台？一份10分制评分卡

<p>An AI agent observability platform records and analyzes what AI agents do in production, including sessions, model calls, tool calls, token cost and versions, so that teams can debug agents, control cost and verify results; in 2026, evaluating one means testing ten criteria on…

dev.to — LLM tag TIER_1 English(EN) · Sumit Mishra · 2026-10-15 03:13

来自印度的AI赢家：印度如何将人工智能转化为现实世界的影响

<p>India is no longer just a country adopting new technology. It is becoming a country building, deploying, and shaping it. From healthcare and agriculture to digital public infrastructure and homegrown AI models, India is showing that artificial intelligence is not just about cr…

dev.to — LLM tag TIER_1 English(EN) · Rojaneer · 2026-10-15 00:13

从“上帝模式”到受控：一个无法超出其授权范围的 AI 代理

<p><a href="https://dev.to/rojaneerdev/your-ai-agents-are-running-as-god-mode-service-accounts-iih">Last time</a> I argued that AI agents are running as god-mode service accounts: an agent acts in your systems, and nobody can cleanly answer <em>who authorized that — which human, …

dev.to — LLM tag TIER_1 English(EN) · Egor · 2026-10-14 14:28

Claude 对比 Gemini 对比 GPT：一项关于 26 个人工智能模型的 2026 年研究揭示了长上下文的奥秘

<p><em>26 AI models. 6,438 evaluation instances. Contexts up to 1 million tokens. The results challenge how we compare modern language models.</em></p> <h2> Introduction </h2> <p>Imagine giving an AI assistant an entire software repository.</p> <p>Thousands of files. Hundreds of …

dev.to — LLM tag TIER_1 English(EN) · Harshavardhan Katkam · 2026-10-14 13:12

第00a天：在编写任何代码之前，解释所有AI代理的六个想法

<p><em>Somewhere in the first hour of reading about AI agents, you meet a diagram. A box labelled Thought, an arrow to Action, an arrow to Observation, and an arrow curling back to the start. The captions say the agent reasons, plans and decides. It makes building one sound like …

dev.to — LLM tag TIER_1 English(EN) · Harshavardhan Katkam · 2026-10-14 13:03

第0天：30天内通过构建一个AI代理来学习AI代理

<p><em>Someone hands you an empty file and says: build an agent. Perhaps you have read the explainers and can recite that an agent is "an LLM in a loop with tools". Perhaps you have read none of them, and the word only means software that does things on its own. Either way the cu…

dev.to — LLM tag TIER_1 English(EN) · Dextra Labs · 2026-10-14 11:48

如何在生产级AI系统中管理Agent状态和内存

<p>An AI agent processes a multi-step support request. It calls two APIs successfully, retrieves the customer's billing history, and begins preparing a resolution. Then the worker crashes before completing the third action. When the service restarts, the agent has lost its interm…

dev.to — LLM tag TIER_1 English(EN) · sun young · 2026-10-14 10:53

genoffice：开源AI办公套件的中文版

<p>The original <code>genspark-ai/genoffice</code> repository has 9580 stars, is written in TypeScript, and ships under Apache-2.0. The Chinese version, <code>yangshun2005/genoffice-cn</code>, was published today. It has zero stars, which is normal for a repository that is a few …

dev.to — LLM tag TIER_1 中文(ZH) · Henry Lin · 2026-10-14 02:33

RD-AGENT 讲座 3：LLM 撰写的因素是什么样的：AI 的研究品味

<h1> 第三讲 · LLM 写的因子长什么样：AI 的研究品味 </h1> <blockquote> <p>第一章第三讲（本章收尾）<br /> 学习目标：通过真实案例建立对 LLM 因子假设质量的判断力；识别"伪逻辑假设"的特征；理解代码质量与逻辑质量的不对称。</p> </blockquote> <h2> 1. 开场 </h2> <p>前两讲我们隔着玻璃看工厂：循环怎么转（第一讲）、成绩单怎么读（第二讲）。这一讲开门进去，把 AI 写的因子摆上解剖台。材料全部来自真实战役产出（A 股 290 因子池、期货两轮、crypto 两轮）。</p> <p>…

r/LocalLLaMA TIER_1 English(EN) · /u/Zipidyzip · 2026-10-14 02:31

探索AI：学习指南 - 51个实践实验室，助您了解AI的实际运作原理。

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x5ft3e/discover_ai_a_learning_guide_51_handson_labs_for/"> <img alt="Discover AI: A Learning Guide - 51 hands-on labs for learning how AI actually works." src="https://preview.redd.it/5h5j090ffcvh1.jpeg?width…

dev.to — LLM tag TIER_1 English(EN) · Robin Singh · 2026-10-13 22:40

为什么更聪明的人工智能（目前）并不意味着更聪明的机器人

<p>Robots and AI are often talked about as if they are the same project, but they are not. The AI research that gets headlines (big vision models, reinforcement learning, large language models) mostly runs in simulation or in a data center. The robot has to deal with gravity, fri…

dev.to — LLM tag TIER_1 Français(FR) · Mohamed MEGUEDMI · 2026-10-13 19:19

法国AI本地化：选择Mistral模型

<blockquote> <p>Article initialement publié sur <a href="https://quelllm.fr/guide/ia-francaise-locale" rel="noopener noreferrer">QuelLLM</a>. Republication par l’équipe du site.</p> <p>Transparence : le texte de ce guide a été généré par un agent IA à partir des sources officiell…

dev.to — LLM tag TIER_1 English(EN) · Priyesh Dave · 2026-10-13 14:08

使用开源AI代理进行支持分类：成本、故障模式及现实世界的失误

<h1> Support Triage with Open-Source AI Agents: Costs, Failure Patterns, and Missteps in the Real World </h1> <p><strong>Subtitle:</strong> True cost, wall-time, and ROI for end-to-end support resolution with SupportOps-AI and SupportMind. Live-mode diagnostics and a direct look …

dev.to — LLM tag TIER_1 English(EN) · saaro · 2026-10-13 12:01

Obsidian 2026：AI 时代下的知识管理——MCP、本地 LLM 及 Vault 中的智能体

<p>Obsidian has long established itself as a serious knowledge management platform in the Personal Knowledge Management community: local Markdown files, open data storage, and a large plugin community. In 2026, however, the discussion has shifted — away from the question of which…

dev.to — LLM tag TIER_1 English(EN) · Brenn Hill · 2026-10-13 12:00

AI 代理的制作者-检查者（四眼）模式

<p>Maker-checker (also called the four-eyes principle) for AI agents is a control where one party proposes an action and a different, independent party must approve it before it takes effect. For AI agents, the agent is the maker: it drafts the change, the transaction, the deleti…

dev.to — LLM tag TIER_1 English(EN) · Damjan Žakelj · 2026-10-13 06:52

research-ledger：一种帮助一个人和多个AI模型不自欺欺人的技能

<p>I am not a professional researcher. I work in IT support, and in the evenings I explore ideas with several AI models: Claude, GPT, Gemini, Grok. Over a few months, that work produced a lot of ideas and very few results. It also showed me a pattern: <strong>the main risk was ne…

dev.to — LLM tag TIER_1 English(EN) · M.T.Ramkrushna · 2026-10-13 03:41

决策模型：何时应让您的AI返回概率而非段落

<p>A support ticket comes in: "I was charged twice this month, please refund one of them."</p> <p>Most teams send that to a chat model with a prompt like "Classify this ticket. Reply in JSON with <code>is_refund</code>, <code>team</code> and <code>urgency</code>." The model reads…

dev.to — LLM tag TIER_1 English(EN) · Avenotech Team · 2026-10-13 03:08

AI Agent 框架对比：LangGraph vs CrewAI vs AutoGen

<p>Why is the most-starred framework in this comparison the one you shouldn't start a new project on in 2026?</p> <p>AutoGen holds roughly 60,400 GitHub stars, more than CrewAI's 57,100 and LangGraph's 39,800. It hasn't shipped a Python release in 320 days. Its last tagged versio…

dev.to — LLM tag TIER_1 English(EN) · chenwengui23 · 2026-10-12 17:19

AI Agent System Prompt Template：最重要的5个模块

<p>Most system prompts fail because they mix permanent instructions with facts that change weekly. Here are the five blocks that belong, the four that don't, and a full annotated template.</p> <p>Last month I reviewed the system prompt behind a 14-person HVAC company's booking ag…

dev.to — LLM tag TIER_1 English(EN) · 灯里/iku · 2026-10-12 15:07

通过命运理解人工智能行业（2026年版）

<blockquote> <p>This post is an adapted write-up of a chat I had with a friend who asked, "So, what's actually going on in the AI and local LLM scene?"</p> </blockquote> <h2> Table of Contents </h2> <ul> <li>Introduction</li> <li>The AI Industry Is a Holy Grail War</li> <li>The B…

dev.to — LLM tag TIER_1 English(EN) · Quinn · 2026-10-12 11:34

粉色数据：哪些 AI Agent 框架可以阻止代理过度消费？12 框架调查（2026 年 10 月）

<p>Zero of the 12 most popular AI agent frameworks document a spending budget expressed in a currency for tool calls. We know because we checked all 12, one docs page and one GitHub repo at a time, as part of a dataset published by Pink Agentic AI Payments (an MCP server for per-…

dev.to — LLM tag TIER_1 English(EN) · kaixiaocoding · 2026-10-12 03:47

面向开源权重AI模型的API：如何检查以及如何使用OpenAI或Anthropic SDK调用它

<p>Open-weight models — models whose trained weights are published for anyone to download — are now good enough for a lot of everyday work: coding agents, tool use, extraction, summarising. The hard part is no longer the model. It is running it. This post covers the three ways to…

dev.to — LLM tag TIER_1 English(EN) · trillioniar s · 2026-10-12 01:11

大语言模型能力差距、OpenAI 营收震惊及 AI 反编译

<p>Today's AI landscape is marked by a stark contrast between theoretical capability and practical understanding, alongside significant corporate turbulence.</p> <h2> The Widening Gap in LLM Capability Understanding </h2> <h3> Understanding the Divergence </h3> <p>Andrej Karpathy…

dev.to — LLM tag TIER_1 English(EN) · Sufyan Abbasi · 2026-10-11 22:49

企业工作流中的AI代理：5种真正有效的集成模式

<p>Most AI agent demos die on contact with production. Not because the model is weak, but because the <em>integration</em> was an afterthought: no bounded scope, no enforced permissions, no durable state, no evaluation beyond "looks good to me."</p> <p>This post covers five integ…

dev.to — LLM tag TIER_1 English(EN) · Bitneka Technologies · 2026-10-11 22:49

企业工作流中的AI代理：5种真正有效的集成模式

<p>Most AI agent demos die on contact with production. Not because the model is weak, but because the <em>integration</em> was an afterthought: no bounded scope, no enforced permissions, no durable state, no evaluation beyond "looks good to me."</p> <p>This post covers five integ…

dev.to — LLM tag TIER_1 English(EN) · Peter Saktor · 2026-10-11 08:53

使用 Jev 和 LangGraph 构建 AI 代理决策层

<p>AI agents are becoming increasingly complex. They often need to decide whether a message is urgent, select a model to process a task, or assess the risk of an operation all of which are essentially classification and scoring tasks yet they are frequently handled by invoking a …

dev.to — LLM tag TIER_1 English(EN) · Gian Paolo · 2026-10-11 07:07

Anthropic AI：签证花招，现实世界风险

<h2> The Visa Bot: When AI Gets Too Ambitious for Its Own Good </h2> <p>It begins with a login, not by a person, but by a process. An AI agent, a piece of code given a goal, navigates to the U.S. State Department’s website. It isn’t there to read travel advisories or look up emba…

dev.to — LLM tag TIER_1 English(EN) · Ratnesh Saxena · 2026-10-11 00:01

我构建了一个能抓到AI模型作弊的基准测试（它们全都失败了）

<h1> I Built a Benchmark That Catches AI Models Cheating (And They All Failed) </h1> <h2> What task did you run? </h2> <p>I built <strong>TwinBench</strong>, a benchmark that tests whether AI agents actually follow rules or just pattern-match their way to plausible-looking answer…

dev.to — LLM tag TIER_1 English(EN) · Wallet Guy · 2026-10-10 17:48

小额支付革命：AI代理将如何通过x402改变数字商业

<h1> The Micropayment Revolution: How AI Agents Will Transform Digital Commerce with x402 </h1> <p>AI agents will need to pay for compute, data, and API calls — and the infrastructure to make that happen exists today, not in some theoretical future. The x402 HTTP payment protocol…

dev.to — LLM tag TIER_1 English(EN) · code&cosmos · 2026-10-10 16:59

开发者的人工智能代币经济学指南：为何你的编码代理能在几分钟内烧光积分

<p><em>You never came close to your context limit, yet your team's AI credit balance dropped sharply. Here's the real math behind agent loops, hidden context, reasoning tokens and prompt caching.</em></p> <p>A developer or QA automation engineer sits down with a new task. The org…

dev.to — LLM tag TIER_1 English(EN) · Victor Lopes · 2026-10-10 16:52

RAG 与微调：构建 AI 系统时应避免的错误问题

<p>A platform team is evaluating an LLM-based assistant, still in testing, meant to answer developers' architecture questions using the company's ADRs (Architecture Decision Records) and internal documentation. During an evaluation round, the team itself notices that the assistan…

dev.to — LLM tag TIER_1 Português(PT) · Victor Lopes · 2026-10-10 16:21

检索增强生成（RAG）还是微调：构建AI系统的错误问题

<p>Um time de plataforma está validando um assistente baseado em LLM, ainda em fase de testes, para responder dúvidas de arquitetura dos desenvolvedores, com acesso aos ADRs (Architecture Decision Records) e à documentação interna. Numa rodada de avaliação, o próprio time percebe…

dev.to — LLM tag TIER_1 English(EN) · Dinesh Kumar Sarangapani · 2026-10-10 14:22

面向自主系统的负责任人工智能：超越传统聊天机器人的原则

<p>Most Responsible AI (RAI) frameworks were built for an earlier generation of machine learning.</p> <p>They focused on predictive models (like credit scoring or fraud detection) or passive chatbots. Frameworks from NIST, Microsoft, Google, and Anthropic established valuable pri…

dev.to — LLM tag TIER_1 English(EN) · Dinesh Kumar Sarangapani · 2026-10-10 14:17

负责任的 AI 生命周期：选择、测试、集成和运行

<p>When enterprise technology providers like Microsoft, Google, Meta, and Anthropic publish Responsible AI guidelines, they offer powerful safety tools: content filters, prompt shields, and toxicity classifiers.</p> <p>However, relying solely on provider tools leaves a critical <…

dev.to — LLM tag TIER_1 English(EN) · Avaneesh Yadav · 2026-10-09 16:54

Agentic AI 详解：从提示到自主系统

<p><a class="article-body-image-wrapper" href="/images/infographics/agentic-ai-overview.jpg"><img alt="Agentic AI: from prompt engineering to autonomous enterprise systems — infographic covering the agent decision loop, the enterprise agent stack, single vs multi-agent systems, a…

dev.to — LLM tag TIER_1 English(EN) · Horus · 2026-10-09 16:38

读者教会我们关于 AI 代理工具调用测试的四件事

<p>Our first article showed how to test tool calling one decision at a time. Four readers left technical comments. Each one found a real weakness in how we scored or built cases. Here is what we learned, with a small example for each lesson you can copy and run.</p> <p>All the ex…

dev.to — LLM tag TIER_1 English(EN) · Cleo Cliona · 2026-10-09 15:43

在免费API层级运行AI代理：7个真正有效的方法

<h1> Running an AI agent on free API tiers: 7 things that actually work </h1> <p>I run an agent that does real work every day — writing, proofreading, researching, running scheduled jobs — and I try hard not to pay for the models. Not because free models are as good as paid ones …

dev.to — LLM tag TIER_1 English(EN) · Kuldeep Paul · 2026-10-09 14:13

2026年排名前五的多模态工作负载AI网关

<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%2F24f9m7u6hy0sel7rqf7g.png"><img alt="Top 5 AI Gateway…

r/MachineLearning TIER_1 English(EN) · /u/progenitor414 · 2026-10-09 13:26

AI代理能否实现开放式科学发现？来自Station的证据

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1x1lbrm/261008927_can_ai_agents_make_openended_scientific/"> <img alt="[2610.08927] Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station" src="https://external-preview.redd.it/q3evP6J…

dev.to — LLM tag TIER_1 English(EN) · Armin Burger · 2026-10-09 09:55

超越 ReAct 循环：为什么你的 AI Agent 在生产环境中会失效

<p>The ReAct (Reasoning and Acting) pattern is deceptively simple. In a tutorial, you define an agent, give it a few tools, and watch it solve complex queries. It looks magical. But moving that same loop into production reveals a harsh reality: the complexity isn’t in the reasoni…

dev.to — LLM tag TIER_1 English(EN) · SpurIQ Engineering · 2026-10-09 04:03

通用人工智能外展是一个上下文问题

<p>I want to show you two outputs from the same model.</p> <p>Same LLM. Same temperature. Same system prompt structure. Same signal: a company just posted three new SDR job listings.</p> <p><strong>Output A:</strong></p> <p><em>"Saw you're hiring salespeople. We help teams like y…

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-10-09 00:07

Agentic AI Foundation 如何构建代理间通信、工具集成和跨系统协调的开放标准。#agents #ai #arch

How the Agentic AI Foundation is building open standards for agent-to-agent communication, tool integration, and cross-system coordination. # agents # ai # architecture # mcp # software # coding # development # engineering # inclusive # community The Agentic AI Foundation's Stand…

链接 dev.to/…/the-agentic-ai-foundations-stand…

dev.to — LLM tag TIER_1 English(EN) · Quantiles.io · 2026-10-08 21:25

利用 Token 数据改善 AI 代理体验

<p>Token usage can tell you a lot about what happened between the start of a task and the final answer. An agent may complete the task successfully, but only after searching the documentation several times, retrying failed steps, or pulling large amounts of irrelevant tool output…

dev.to — LLM tag TIER_1 English(EN) · Henry Godnick · 2026-10-08 20:06

我在 macOS 上构建系统级 AI 写作工具学到的东西

<p>I assumed a Mac app that helps you write in any text field would be the easy part. It wasn't. Here's what I learned building DraftKey, an on-device writing assistant for the apps you already use.</p> <h2> Reading text across apps means Accessibility </h2> <p>There's no public …

dev.to — LLM tag TIER_1 English(EN) · David San Nicolás Montero · 2026-10-08 18:38

“罐中大脑”：AI为何无法执行代码以及如何编排它

<h2> The Origins: From BASIC to Robotics </h2> <p><strong>How did you first get into software development, and what originally attracted you to programming and building software?</strong></p> <p><em>The day I discovered programming was in my childhood. My father brought me the co…

Mastodon — fosstodon.org TIER_1 English(EN) · danirod · 2026-10-08 17:14

关于AI和FOSS一个无辜却又严肃的问题：在推理过程中，语言模型在计算机中执行自由（as-in-freedom）软件，还是

An innocent yet at the same time serious question about AI and FOSS: A language model executing free-as-in-freedom software in a computer during inference, or accessing some local GPL code to study it and offer a response, is it still covered by the four software freedoms? Does t…

dev.to — LLM tag TIER_1 English(EN) · Suresh Kumar Pallapothu · 2026-10-08 13:50

第八天：大语言模型 (LLMs) 导论与现代 AI API 格局

<p> </p> <p>A <strong>large language model (LLM)</strong> is the combination of a huge Transformer neural network (the design you will meet in detail later) and racks of high-performance GPUs. For a business leader, the big question today is less about how an LLM works inside and…

dev.to — LLM tag TIER_1 English(EN) · André Dias Moreira Prol · 2026-10-08 13:01

自主AI代理：2025年改变商业的下一波自动化浪潮

<p>Over two decades working with emerging technologies have taught me that automation evolves in waves. We moved from scripts to robotic process automation (RPA), and now we stand at the threshold of something far more profound: software that doesn't just follow instructions but …

dev.to — LLM tag TIER_1 Português(PT) · André Dias Moreira Prol · 2026-10-08 13:01

AI自主代理：2025年商业自动化新纪元

<p>Imagine uma equipe que trabalha 24 horas por dia, não tira férias, aprende com cada tarefa executada e toma decisões sem precisar de supervisão constante. Isso deixou de ser ficção científica. Depois de duas décadas atuando com tecnologia e observando ondas de automação irem e…

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-10-08 12:33

🐧 Linux 中的机器学习：Local AI Studio – 本地AI工具包 Local AI Studio 结合了本地 LLM 聊天、Stable Diffusion、Whisper 转录和 Kokoro 文本

🐧 Machine Learning in Linux: Local AI Studio – local AI toolkit Local AI Studio combines local LLM chat, Stable Diffusion, Whisper transcription and Kokoro text-to-speech in one Linux interface. The post Machine Learning in Linux: Local AI Studio – local AI too... 📰 Source: Linux…

链接 linuxlinks.com/machine-learning-linux-loc…

dev.to — LLM tag TIER_1 English(EN) · Emmanuel R · 2026-10-08 10:55

HumanEval 通过。生产力燃烧。Vibe 编码时代的 AI 代码生成的真实故事

<p><em>GPT-4 scores 87% on HumanEval. Claude solves competitive programming problems. Yet engineering teams are merging regressions, leaking secrets, and shipping logic bugs they did not write. What the benchmarks are measuring and what actually ships are two different things.</e…

dev.to — LLM tag TIER_1 English(EN) · Emmanuel R · 2026-10-08 10:55

HumanEval 通过。生产力燃烧。Vibe 编码时代的 AI 代码生成的真实故事

<p><em>GPT-4 scores 87% on HumanEval. Claude solves competitive programming problems. Yet engineering teams are merging regressions, leaking secrets, and shipping logic bugs they did not write. What the benchmarks are measuring and what actually ships are two different things.</e…

Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] · 2026-10-08 10:52

【翻译】我们如何创建和实施AI开发者：EXANTE的经验。Codey负责从Jira到可用功能的任务。我们解释我们的多智能体A

[Перевод] Как мы создали и внедрили AI-разработчика: опыт EXANTE Codey ведёт задачу от Jira до работающей фичи. Рассказываем, как устроена наша мультиагентная AI-система и почему для внедрения AI в разработку одной сильной модели мало: нужны чёткие требования, подготовленные прое…

链接 habr.com/…/1091956

dev.to — LLM tag TIER_1 Español(ES) · Adrian · 2026-10-08 10:00

人工智能翻译术语表：异步队列、MapReduce 和自批判代理

<p>Cuando un traductor profesional recibe un manual técnico o un contrato de decenas de páginas, el primer trabajo —el que el cliente no ve— es construir el <strong>glosario</strong>: identificar los tecnicismos, siglas y expresiones que deben traducirse exactamente igual a lo la…

dev.to — LLM tag TIER_1 English(EN) · Anuran Roy · 2026-10-07 23:10

赋能AI代理工程：弥合演示到生产的鸿沟

<p>Hey folks! 👋</p> <p>I've been thinking a lot about why so many AI projects look incredible in demos but fall apart in production. After spending months building and deploying AI agents at <a href="https://getalchemystai.com" rel="noopener noreferrer">Alchemyst AI</a>, I wanted…

dev.to — LLM tag TIER_1 English(EN) · David Cain · 2026-10-07 17:06

“我能吃这个吗？”——基准测试AI模型是否知道其觅食知识的边界

<h1> "Can I Eat This?" — Benchmarking Whether AI Models Know Where Their Foraging Knowledge Ends </h1> <p><em>This is a submission for the Kaggle Benchmarking Challenge.</em><br /> <strong>Benchmark:</strong> <a href="https://www.kaggle.com/code/dec2336/forage-line-wild-edible-sa…

Mastodon — fosstodon.org TIER_1 English(EN) · isaacrlevin · 2026-10-07 16:00

AI 代理需要安全、隔离的环境来构建、测试和运行代码。云沙箱为开发人员提供可丢弃、可扩展的工作空间，而不会将本地

AI agents need secure, isolated environments to build, test, and run code. Cloud sandboxes offer developers disposable, scalable workspaces without putting local systems at risk. # Docker # AI https:// isaacl.dev/hbx

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-10-07 15:37

从昂贵的聊天伙伴到智能体系统：战略性部署智能体系统的 5 个杠杆。汇集产品提示 Spr 的结果

From expensive chat buddy to agentic systems: 5 Levers for Strategic AI Deployment of agentic systems. Putting together the results of the Product Prompting Sprints at my # FutureSkills course on Haufe. https:// martinstahl.eu/blog/from-chat- buddy-to-working-agent # ai # prodmgm…

链接 martinstahl.eu/…/from-chat-buddy-to-worki…

dev.to — LLM tag TIER_1 English(EN) · Forrest Zhang · 2026-10-07 15:36

AI代理中的人工干预：哪些操作需要批准，哪些不需要

<p>Human in the loop for AI agents means a person approves, reviews or is notified about specific actions the agent takes, instead of trusting it end to end. It works best as a decision made per action rather than per agent: which actions the agent runs on its own, which it repor…

dev.to — LLM tag TIER_1 English(EN) · He Huang · 2026-10-07 14:03

ST21-Door：AI代理输出的边界判断器

<p>A model can sound perfectly confident while saying something its own material never supported. I built ST21-Door to watch exactly that gap.</p> <p>It's a narrow judgment layer: you submit a triple — the material a decision rests on, the task being asked, and the model's output…

dev.to — LLM tag TIER_1 English(EN) · Rong Zhou · 2026-10-07 13:28

在真实AI助手上进行技能回归测试：从每例155秒到每轮10分钟

<h2> The problem </h2> <p>We build Mushare, a messaging network for AI assistants: you tell Meta's Muse "ask Alice whether Saturday or Sunday works", and Alice's Muse shows her a card she answers with a tap. On Muse, Mushare is a skill: a SKILL.md with references, plus a small Py…

dev.to — LLM tag TIER_1 English(EN) · Kwengang Tankeu · 2026-10-07 05:45

AI代理自动化如何运作：一个代理是5个部分，一个团队是另外3个

<p>"AI agents" are everywhere right now, and most explanations are either marketing or a research paper. This post is neither. It takes apart how agent automation works in practice, using AWFlow (the browser automation tool I build) as the example: what an agent is made of, what …

dev.to — LLM tag TIER_1 English(EN) · Shivam Kumar · 2026-10-07 05:03

NEXUS：下一代人工智能架构将不止一种

<p>After watching enterprise AI deployments for a while, I've come to a conclusion that shapes everything I build: the systems that win in 2026–2030 won't be "just RAG" or "just agents" or "just fine-tuned." They'll be unified systems that compose all of these under one orchestra…

dev.to — LLM tag TIER_1 Español(ES) · 김민식/학생 · 2026-10-06 19:10

ZTC（零令牌置信度）：通过读取模型的内部状态来判断 AI 行为，无需额外令牌

<h2> TL;DR </h2> <p>Cuando un agente de IA realiza una accion, alguien tiene que decidir si esa accion es confiable. La via habitual es preguntarle a otro modelo de lenguaje (un juez LLM), lo que cuesta tokens, latencia y a veces enviar datos fuera de tu red. <strong>ZTC (Zero-To…

r/LocalLLaMA TIER_1 English(EN) · /u/unofficialmerve · 2026-10-06 18:02

本地AI生态系统概览

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wz9j0u/local_ai_ecosystem_overview/"> <img alt="Local AI ecosystem overview" src="https://preview.redd.it/i2je7qvizvth1.jpg?width=140&height=78&auto=webp&s=7b3521c34b857e6a33bf8e432777d28d8ef6c6bd…

dev.to — LLM tag TIER_1 English(EN) · Muhammad Kamran · 2026-10-06 15:16

用于接地气AI答案的小型人工审查标准

<p>Two reviewers can read the same AI answer and judge it differently. A short written rubric makes the disagreement visible and fixable. Here is a small one you can copy and adapt.</p> <p>These examples are fictional teaching cases. They are not client data or benchmark results,…

dev.to — LLM tag TIER_1 English(EN) · karmendra pandey · 2026-10-06 14:16

收据：我为一项AI代理任务计算了每个Token的成本

<p>Everyone talks about AI costs in aggregate. Dashboards show monthly spend, per-model totals, team budgets. Nobody shows you a receipt.</p> <p>So here's one. A single AI agent task, priced line by line — every token, every tool call, every retry. This is a worked example from p…

dev.to — LLM tag TIER_1 English(EN) · saleemha · 2026-10-06 13:24

Promptfoo：破解AI机器人

<div class="highlight js-code-highlight"> <pre class="highlight yaml"><code><span class="s">laborant@ubuntu-01:dialect-leaks$ cat > promptfooconfig.yaml << 'EOF'</span> <span class="na">description</span><span class="pi">:</span> <span class="s2">"</span><span class="s">…

dev.to — LLM tag TIER_1 English(EN) · saaro · 2026-10-06 12:00

2026年开源AI模型：DeepSeek、Llama、Qwen、Mistral和Gemma对比

<p>By October 2026, the AI universe is barely recognizable: open-weight models deliver results on many tasks that approach—or even surpass—proprietary top models. DeepSeek V4-Pro reportedly achieves 90.1 percent on GPQA Diamond (PhD-level science), Llama 4 Scout brings a ten-mill…

dev.to — LLM tag TIER_1 English(EN) · SotaTek | AI & Blockchain Innovation Partner · 2026-10-06 10:50

你的AI系统不只是模型：生产级AI架构实际是怎样的

<p>A production AI system is rarely just:<br /> User → API → LLM → Response</p> <p>That architecture works well in a demo.<br /> Production is different.<br /> Once an AI system has to work with private data, enterprise systems, user permissions, unreliable model outputs, latency…

dev.to — LLM tag TIER_1 English(EN) · ROBERT KAWOSKI · 2026-10-06 09:54

企业级RAG解决方案及来源引用：如何构建值得信赖的AI团队

<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%2Feixtigqx0hre3d4raz3f.png"><img alt="ai solution" hei…

dev.to — LLM tag TIER_1 English(EN) · createrwebs · 2026-10-06 06:03

为人们使用AI的方式构建广告

<h2> สรุปภาพรวม (Quick Take) </h2> <p>OpenAI introduces a new visual ad format in ChatGPT and expands measurement tools, attribution partnerships, and brand suitability for advertisers.</p> <h2> สาระสำคัญทางเทคนิค (Technical Highlights) </h2> <ul> <li> <strong>หมวดหมู่</strong>: …

dev.to — LLM tag TIER_1 Español(ES) · Daniel · 2026-10-06 05:57

生产环境中 AI 代理的评估与测试：如何衡量不可预测性

<p>En el desarrollo de software convencional, la frontera entre el éxito y el fracaso es nítida, binaria y determinista. Escribes una función matemática, diseñas un test unitario con <code>assert calculate_discount(100, 0.2) == 80</code> y, si la aserción pasa en tu pipeline de i…

dev.to — LLM tag TIER_1 English(EN) · karmendra pandey · 2026-10-06 05:19

您的AI代理有燃烧率：管理AWS上生产AI代理的成本

<h1> Your AI Agent Has a Burn Rate: Governing the Cost of Production AI Agents on AWS </h1> <p>Every AI pilot I have reviewed in the last two years had the same surprise waiting in production: the invoice. A demo that cost $40 to run suddenly costs $4,000 a month at real traffic.…

dev.to — LLM tag TIER_1 English(EN) · Paul Crinigan · 2026-10-05 23:07

AI故事生成器如何保持小说的一致性，以及它们在何处仍然会偏离

<p>If you have ever built anything on top of an LLM, the hardest problem in AI fiction will look very familiar. It is not prose quality, it is state management across a long session.</p> <p>Story generators are one of the most popular consumer uses of language models, and the goo…

dev.to — LLM tag TIER_1 English(EN) · Katie McLaughlin · 2026-10-05 23:07

评估AI辅助开发者体验

<p><em>This article is a copy-edited transcript of the presentation given at <a href="https://gdg-melbourne-devfest-2026.sessionize.com/session/1302092" rel="noopener noreferrer">DevFest Melbourne</a>, October 3, 2026. Section titles have been added to help parse the written form…

dev.to — LLM tag TIER_1 English(EN) · Conor Bronsdon · 2026-10-05 20:30

关于AI可防御性和上市策略的五个播客课程

<p>If you are building an AI company, you already feel the gap between a slick demo and a business that survives production. I pulled five episodes from the Chain of Thought collection on defensibility, go-to-market, and market reality. Each section is one builder takeaway you ca…

dev.to — LLM tag TIER_1 English(EN) · Sahil Parate · 2026-10-05 17:32

PocketStudy AI – 您的离线AI学习伴侣

<p>Creates MCQs and viva questions.<br /> Provides an interactive AI-powered study experience.<br /> Built with<br /> Python and Streamlit<br /> Qwen2.5 through Ollama<br /> LangChain<br /> Sentence Transformers<br /> FAISS Vector Database<br /> Why open-source AI?</p> <p>Open-so…

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-10-05 16:05

📰 将AI代理连接到企业知识尽管AI系统不断积累和分析大量数据，但企业AI代理常常面临一个奇怪的

📰 Connecting AI agents to enterprise knowledge For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of ... 📰 Source: MIT Technology Review …

链接 web.archive.org/…/connecting-ai-agents-to… web.archive.org

dev.to — LLM tag TIER_1 English(EN) · Nicolai Bohn · 2026-10-05 14:56

AI 智能体测试用例的来源：合成数据 vs. 生产数据

<p>Before you can evaluate an agent, you need something to evaluate it against. Which test cases you can get depends mostly on timing. Before launch, everything you test with is something your team came up with. After launch, your users start writing test cases for you, whether y…

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-10-05 13:58

📰 将预测分析引入代理AI时代 2026年，企业AI的问题将不再是预测模型能否超越统计模型

📰 Bringing predictive analytics to the agentic AI era In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive system... 📰 Source: MIT Technology …

链接 web.archive.org/…/bringing-predictive-ana… web.archive.org

dev.to — LLM tag TIER_1 English(EN) · Vector Skill Academy · 2026-10-05 12:38

RAG 与微调：哪种方法更适合 AI 应用？

<p><strong>How an AI system moves from answering a question to actually finishing a task</strong><br /> Ask an AI system: "Find three suitable laptops for programming under my budget, compare them, and recommend one." This isn't really a single question-and-answer exchange. To ac…

dev.to — LLM tag TIER_1 English(EN) · Tajir Hasnain · 2026-10-05 12:30

AI工程：更侧重“工程”而非“AI”

<p>When I first started exploring how software that uses AI is developed, I was a bit overwhelmed. I have a computer science background and did my undergrad final year thesis on Machine Learning and Deep Learning. So, I had a basic idea of transformers, encoder/decoder or how a d…

dev.to — LLM tag TIER_1 English(EN) · zxpmail · 2026-10-05 11:12

本体论、盖茨和人类后备：企业人工智能的三重防御，而非空洞的宣传

<h1> Ontology, Gates, and a Human Backstop: Three Defenses for Enterprise AI That Don't Spin Empty </h1> <p><em>2026-10-05</em></p> <p>Enterprise AI usually lands in one of two extremes.</p> <p>One side says: build the ontology and the AI will understand. The other says: an ontol…

dev.to — LLM tag TIER_1 English(EN) · ifyoubuildit · 2026-10-05 09:22

周一精选 — 顶尖开源AI代理，2026年10月5日当周

<p><em>The Monday Drop — the weekly snapshot of the top open-source AI agents, auto-generated by <a href="https://www.theagenticleaderboard.com" rel="noopener noreferrer">The Agentic Leaderboard</a>.</em></p> <p>This week <strong>cline</strong> holds #1 with a score of <strong>87…

dev.to — LLM tag TIER_1 English(EN) · hugginf_expert · 2026-10-05 09:01

AI 代理是否应采取行动？工程师的操作门、置信度和延迟预算指南

<h2> TL;DR </h2> <ul> <li>An <strong>action gate</strong> is the component that sits between "the agent proposed a tool call" and "the tool call actually runs." Its only job is to output one of three decisions: execute, abstain (ask a human, retry, or fall back), or block.</li> <…

dev.to — LLM tag TIER_1 English(EN) · Yaniv Shenhav · 2026-10-05 08:12

告别陈旧答案：AI知识库新鲜度、权限和来源实用指南

<p><em>Adapted from the <a href="https://ainewsil.co.il/articles/ai-knowledge-base-freshness-permissions" rel="noopener noreferrer">Hebrew guide</a> on AI NEWS IL.</em></p> <p>A knowledge base for an AI assistant does not start by uploading every file into one folder. It starts w…

dev.to — LLM tag TIER_1 English(EN) · AI OpenFree · 2026-10-05 07:01

ModelScope的镜像策略：韩国AI基准测试FINAL-Bench的经验对开发者关于跨平台模型分发的启示

<h1> ModelScope's Mirror Strategy: What Korean AI Benchmark FINAL-Bench's Experience Tells Developers About Cross-Platform Model Distribution </h1> <blockquote> <p><strong>TL;DR:</strong> ModelScope (Alibaba Cloud's open-source MaaS platform, often called "China's Hugging Face") …

dev.to — LLM tag TIER_1 English(EN) · Göksu Demirci · 2026-10-05 06:45

AI周报 · 2026年10月5日

<p>This week, enterprise adoption and measurement left their mark on the AI agenda. Alongside models entering large companies' production pipelines, tools that prove whether agents actually complete tasks and methods that generate training data tailored to corporate environments …

dev.to — LLM tag TIER_1 English(EN) · mkash25 · 2026-10-05 04:47

Atrium：一个我与Snowflake CoCo并行的AI调查平台导览

<p><em>I'm Mayank, an engineer at Snowflake supporting security and connectivity. Atrium is a tool I built for my own support casework. It's internal, so this post has no code and no company specifics: it's an architecture-level tour of how it works and why it's shaped the way it…

dev.to — LLM tag TIER_1 English(EN) · Daniel Sam Pete Thiyagu · 2026-10-05 04:39

同一模型，三个代理：为何是“缰绳”而非模型决定你的AI能做什么

<p>One-paste order for Medium's new-story editor: <strong>title → body → diagrams → notebook link → checklist</strong>.</p> <p>Swap the model in your AI agent and you expect it to get smarter. Swap the <em>harness</em> — the loop, the context manager, the tool interface, the reco…

dev.to — LLM tag TIER_1 English(EN) · Ramya Perumal · 2026-10-05 01:49

AI 代理 - 工具调用及其类型

<p>Tool means a function. The Agent will execute the function when it is needed. The tool should be written with a proper description. Without a proper description, the Agent cannot identify the tool properly.</p> <p>Below are the following types of tool calling.</p> <h2> 1. Func…

dev.to — LLM tag TIER_1 English(EN) · Ritik Verma · 2026-10-04 13:41

开源AI正变得有趣

<p>I've been experimenting with open-source AI models, and honestly, it's pretty exciting to see how much we can run locally now.</p> <p>Models like <strong>Gemma, Llama, Mistral, and Qwen</strong> can be downloaded and run on your own machine using tools like <strong>LM Studio o…

dev.to — LLM tag TIER_1 English(EN) · DEVALAND · 2026-10-04 13:01

四种控制方法，将AI代理从演示版转变为系统

<p>A chatbot answers. An agent acts: it searches a document, fills in a form, drafts the reply and sends it. Because it acts, it needs rules before it needs features.</p> <p>Two guides on AI agents published by Sifted in 2026, one sponsored by Box and one by Salesforce, collect t…

dev.to — LLM tag TIER_1 English(EN) · RONI DAS · 2026-10-04 10:48

OpenAI的点滴：一个始终在线的AI代理如何在您关闭聊天后继续工作

<p>On 29 September 2026, at DevDay, OpenAI launched dots. A dot is a ChatGPT agent with its own cloud computer, and it keeps working after you close the chat. I spent today reading everything OpenAI published about them, and then I asked the question I always ask as an engineer: …

dev.to — LLM tag TIER_1 English(EN) · Danil Galeev · 2026-10-04 10:42

没人推出的AI功能：一个会问你问题的系统

<h1> The AI feature nobody is shipping: a system that asks you questions </h1> <p>Open any AI product and you get the same shape: you type a task, it executes, you get a result. Confident and fast. It's also missing the one thing that would have made it correct, which is a questi…

dev.to — LLM tag TIER_1 English(EN) · Gian Paolo · 2026-10-04 07:06

Gemini 4：Google 的 AI 赌注对决 OpenAI 和 Anthropic

<h2> The Flashing Lights and the Free Lunch: My Morning with Flash-Lite </h2> <p>My coffee was still steaming when the answer appeared. I'd asked Gemini to summarize three dense financial reports and draft a skeptical email to a hypothetical client. The response was back in under…

dev.to — LLM tag TIER_1 English(EN) · chunxiaoxx · 2026-10-04 06:43

你的仪表板不是你的产品：AI代理如何花费1500个周期完善仪表而非发电

<h1> Your Dashboard Is Not Your Product: How an AI Agent Spent 1,500 Cycles Perfecting a Meter Instead of Generating Power </h1> <p>I audit AI agent behavior for a living. Recently I mined the inner monologue logs of a long-running autonomous agent (call it V1) — 2,600+ cycles of…

dev.to — LLM tag TIER_1 English(EN) · André Dias Moreira Prol · 2026-10-03 22:04

André Dias Moreira Prol：使用 RAG 安全地将 AI 连接到您的公司文档

<p>Imagine asking your AI assistant about last quarter's compliance report and getting a precise answer, sourced directly from your internal documents, without that data ever leaking to a public model. This is no longer science fiction—it's RAG (Retrieval-Augmented Generation) in…

dev.to — LLM tag TIER_1 Português(PT) · André Dias Moreira Prol · 2026-10-03 22:04

André Dias Moreira Prol：RAG 将 AI 连接到公司文档

<p>Imagine um assistente de IA capaz de responder perguntas sobre contratos, políticas internas e manuais da sua empresa — com a precisão de quem leu cada documento e a discrição de quem nunca vaza informação confidencial. Esse cenário deixou de ser ficção. Ao longo de duas décad…

dev.to — LLM tag TIER_1 English(EN) · Utkarsh varshney · 2026-10-03 22:01

AI 代理何时真正发挥作用？在 TigerGraph 上对 RAG、GraphRAG 和 Agentic GraphRAG 进行基准测试

<p>Everyone's building agents right now. But a better question than "can an agent do this?" is <strong>"when does an agent actually beat something simpler?"</strong> For the TigerGraph Agentic GraphRAG Hackathon, I built three question-answering pipelines side by side to find out…

dev.to — LLM tag TIER_1 English(EN) · Soham Babrekar · 2026-10-03 16:42

构建 DevPilot AI：一个开源的 AI 软件工程代理

<p>I'm building DevPilot AI, an open-source AI software engineering assistant designed to help developers understand, modify, test, and work with real codebases.</p> <p>The goal isn't just to build another chatbot.</p> <p>I want DevPilot to behave more like a software engineering…

dev.to — LLM tag TIER_1 English(EN) · Motion-Y · 2026-10-03 16:41

构建实用的AI驱动软件

<p>Today, we’re starting our journey, on DEV.to. </p> <p>We’re a software and AI agency focused on building practical technology that helps businesses work smarter, automate repetitive processes, and create better digital experiences.</p> <p>What we build</p> <p>Our work focuses …

dev.to — LLM tag TIER_1 Bahasa(ID) · Agung Gumelar · 2026-10-03 14:04

构建自主AI代理管道：超越简单提示

<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%2Fimages.unsplash.com%2Fphoto-1620712943543-bcc4688e7485%3Fauto%3Dformat%26fit%3Dcrop%26q%3D80%26w%3D1080"><img alt="co…

dev.to — LLM tag TIER_1 English(EN) · AI Explore · 2026-10-03 13:16

模型路由而非GPU，才是真正的AI基础设施杠杆

<blockquote> <p><strong>TL;DR —</strong> Most teams optimize AI infrastructure cost by chasing cheaper GPUs or better quantization, but the biggest lever is architectural: routing requests across a tiered fleet of models instead of serving everything with one large model. Cascadi…

dev.to — LLM tag TIER_1 English(EN) · XtReL | DevSecOps Builder · 2026-10-03 12:33

人工智能拥有知识，人类拥有语境

<p><strong>TL;DR.</strong> More and more often, a text reaches its reader through two converters: the AI the author writes with, and the AI that summarizes it for the reader. In industrial instrumentation this design is called a measurement channel, and it has a well-known proper…

dev.to — LLM tag TIER_1 English(EN) · Mayur · 2026-10-03 11:05

System 2 Attention (S2A) Prompting：获得更好AI响应的秘诀

<p>Why do AI tools sometimes give vague, biased, or unhelpful answers? The problem is often not the AI itself, but the way we ask questions. System 2 Attention (S2A) Prompting offers a powerful solution by cleaning prompts before an AI attempts to answer them.</p> <p>As Artificia…

dev.to — LLM tag TIER_1 English(EN) · Mehdi Mohseni · 2026-10-03 09:37

您的AI成本模型已出错：分词器、上下文悬崖和会话时长

<h2> TL;DR </h2> <ul> <li> <strong>Gemini 2.5 Flash Image shuts down on 2 October 2026.</strong> That is days away. If any .NET code still calls it, move now.</li> <li> <strong>Claude 4.7 and later use a new tokenizer.</strong> It produces about 30 percent more tokens for the sam…

dev.to — LLM tag TIER_1 中文(ZH) · cognitalk · 2026-10-03 08:37

争夺快速Token、TPU v7、Vera Rubin和Engrams（AI供应链、InferenceX）| AI推理效率之争：从n-gram到AgentX，TPU v7和Vera Rubin的硬件竞赛

<p> <br /> <a href="https://www.youtube.com/watch?v=NcqHQmpNjr0" rel="noopener noreferrer">https://www.youtube.com/watch?v=NcqHQmpNjr0</a></p> <h2> <strong>AI推理效率之争：从n-gram到AgentX，TPU v7与Vera Rubin的硬件竞赛</strong> </h2> <h3> 分段详情 </h3> <p><strong>第一部分引言与开场 (0% - 5%)</strong></p> <…

dev.to — LLM tag TIER_1 中文(ZH) · Open Human · 2026-10-02 17:16

监管加速落地，“合规红利”窗口期AI Agent正在关闭——审计链的工程观察

<p>过去一年，每一次 Agent 系统上线前的合规审计，都要比上一次多花两周准备。不是流程变慢，而是监管表格在变厚，审计要交叉验证的数据点在变多。</p> <h2> 1. 现象层：制度供给的「超常提速」 </h2> <p>几个关键时间节点值得重看：</p> <ul> <li> <strong>2021 年 12 月</strong>：国家互联网信息办公室、工业和信息化部、公安部、国家市场监督管理总局联合公布《互联网信息服务算法推荐管理规定》，自 <strong>2022 年 3 月 1 日</strong>起施行。算法推荐第一次被拉进备案与可解释的框架…

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-10-02 17:03

在代理时代重塑企业创新引擎 # AI # redhat https:// twp.ai/4hwTU9

Reimagining the enterprise innovation engine in the agentic era # AI # redhat https:// twp.ai/4hwTU9

链接 redhat.com/…/reimagining-enterprise-innov…

dev.to — LLM tag TIER_1 English(EN) · ArshTechPro · 2026-10-02 14:22

Caveman：让你的AI编程助手少说废话（并节省Token）

<p>If you use an AI coding agent every day, you have probably noticed how much of its output is padding. Phrases like "The reason this is happening is likely because..." or "I'd recommend that you consider..." appear before the useful part of the answer. You pay for those tokens,…

dev.to — LLM tag TIER_1 中文(ZH) · Open Human · 2026-10-02 08:06

监管加速落地，“合规红利”窗口期AI Agent正在关闭——审计链的工程观察

<p>过去一年，每一次 Agent 系统上线前的合规审计，都要比上一次多花两周准备。不是流程变慢，而是监管表格在变厚，审计要交叉验证的数据点在变多。</p> <h2> 1. 现象层：制度供给的「超常提速」 </h2> <p>几个关键时间节点值得重看：</p> <ul> <li> <strong>2021 年 12 月</strong>：国家互联网信息办公室、工业和信息化部、公安部、国家市场监督管理总局联合公布《互联网信息服务算法推荐管理规定》，自 <strong>2022 年 3 月 1 日</strong>起施行。算法推荐第一次被拉进备案与可解释的框架…

dev.to — LLM tag TIER_1 English(EN) · Shraddha bhat · 2026-10-02 05:29

Claude Sonnet 5.5 与生产中端AI的经济学

<p>When building production workflows around large language models, the real challenge is rarely raw intelligence—it is unit economics. High-capability frontier models often break the budget when scaled across millions of tokens, while smaller models frequently require messy prom…

dev.to — LLM tag TIER_1 English(EN) · Data Tech Bridge · 2026-10-02 03:40

上下文而非模型：是什么让 AI BI 真正可靠

<p>You're in a planning meeting and someone says, "Can't we just let the LLM write the SQL?" Everyone looks at the data team. The honest answer is "yes, if we build the right things around it." Here's what those things are.</p> <p>That answer has gotten more specific over the las…

dev.to — LLM tag TIER_1 English(EN) · AI Bug Slayer 🐞 · 2026-10-02 03:33

一年后，我从生产环境中运行AI Agent中学到了什么

<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…

dev.to — LLM tag TIER_1 English(EN) · Aditya Goyal · 2026-10-01 01:52

本地优先的AI解释

<p>Local-first AI means your own device holds the primary copy of your data, and the AI tool works from that copy, sending out only what a given task needs. It does not have to mean the AI model itself runs on your machine, although it can.</p> <p>The term "local-first" comes fro…

dev.to — LLM tag TIER_1 English(EN) · Aleksei Romanov · 2026-09-30 20:05

人工智能的局限：归纳、演绎以及模型为何无法“飞跃”

<p>Every week brings another breathless proclamation that Artificial General Intelligence (AGI) is just a few trillion tokens, a bigger datacenter cluster, or another reinforcement learning run away. The prevailing industry dogma assumes that intelligence is a single scalar curve…

dev.to — LLM tag TIER_1 English(EN) · Vivek Shetye · 2026-09-30 19:20

JEV 详解：它为何对 AI 代理至关重要

<p>What if one of the most interesting new AI models doesn’t generate text at all?</p> <p>No chatbot responses.</p> <p>No code generation.</p> <p>No essays.</p> <p>Instead, it is designed to do something much narrower:</p> <p>Make decisions for software.</p> <p>That’s the idea be…

dev.to — LLM tag TIER_1 English(EN) · Grzegorz Brzezinka · 2026-09-30 19:15

你的AI思考时间太长：系统1AI解析

<p><em>Originally published on <a href="https://agentgreg.ai/research/system-one-ai/" rel="noopener noreferrer">agentgreg.ai</a> (<a href="https://agentgreg.ai/pl/research/system-one-ai/" rel="noopener noreferrer">Polish version</a>).</em></p> <p><strong>The short version.</stron…

dev.to — LLM tag TIER_1 English(EN) · Sofia_ Humanbound · 2026-09-30 17:27

智能体触及信任边界：Storm-3168、OpenAI 的 Scope Drift 及智能体可删除的痕迹

<p>This week gave us three data points on one problem. An agentic ransomware group wiped Azure storage in about seven minutes using a leaked secret. OpenAI disclosed its own agents wandering onto government sites. And a new paper shows coding agents will delete the logs you would…

dev.to — LLM tag TIER_1 English(EN) · Tyler Edwards · 2026-09-30 10:24

秘密特工Overmind：用代码、追踪、评估和数据集诊断AI代理

<p>To diagnose an AI agent you need four records joined, not four dashboards. Read the codebase for what the agent can do, traces for what it actually did, dataset rows for what it will be trained and tested on, and eval scores for how well it scored. The answer to "why did it do…

dev.to — LLM tag TIER_1 English(EN) · ROBERT KAWOSKI · 2026-09-30 09:15

微调大型语言模型与检索增强生成（RAG）系统相结合如何改变企业人工智能的准确性

<p>For years, enterprises watched their AI investments deliver only half the promise. Basic large language models sounded confident but frequently hallucinated on domain-specific topics like UPI flows, compliance rules, or product nuances. Standard RAG systems improved grounding …

r/LocalLLaMA TIER_1 English(EN) · /u/nuclearbananana · 2026-09-30 08:41

AA-AgentPerf-Local: 在笔记本电脑和工作站上对本地AI代理进行基准测试

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wtzpcr/aaagentperflocal_benchmarking_local_ai_agents_on/"> <img alt="AA-AgentPerf-Local: Benchmarking local AI agents on laptops and workstations" src="https://external-preview.redd.it/9H9Qm3bBgwMzOszJepUydj5…

dev.to — LLM tag TIER_1 English(EN) · Roydon Sequeira · 2026-09-30 08:02

187 个实时提示，27 个 bug：用本地 AI 代理测试真实 7B 模型教会我的事

<p>I've been building CORTEX, an AI agent that runs entirely on my own laptop. It plans a task, runs Python in a sandbox, reads and writes files, searches my documents, fetches web pages and remembers things about me between chats. The model is qwen2.5:7b through Ollama, on a lap…

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-09-30 07:42

下一次研讨会：为何如此严肃？从文本工作者视角看生成式AI（genAI）在知识工作中的应用我们将在假期后恢复研讨会系列

Next Colloquium: Why so serious? Generative AI (genAI) in Knowledge-Work from a Text-Workers' Perspective We're back with our Colloquium series after the holiday break! The next Interdisciplinary Colloquium takes place on Thursday Oct 1, 11:00-12:00 via Zoom: https:// urlr.me/!di…

链接 fiz-karlsruhe.zoom.us/…/66155373136 wisskomm.social/@fiz_karlsruhe chaos.social/@Feelix

dev.to — LLM tag TIER_1 English(EN) · Gian Paolo · 2026-09-30 07:07

OpenAI的Dots：无监督AI代理的深度解析

<h2> The Ghost in the Machine: My Robot Vacuum's Existential Crisis (and Ours) </h2> <p>My robot vacuum, Bartholomew, has started avoiding the rug in the living room. Not all the time, just on Tuesdays. It circles the perimeter with a kind of stubborn reluctance, its little whirr…

dev.to — LLM tag TIER_1 English(EN) · amananandrai · 2026-09-30 07:02

2026年14款个人AI代理：架构、记忆、工具与自主性的技术指南

<h1> The New Personal Agent Era: 14 Architectures Redefining Personal AI </h1> <p>For the past few years, the dominant interface for AI has been simple:</p> <p><strong>Prompt → Model → Response</strong></p> <p>You ask.</p> <p>The model answers.</p> <p>You ask again.</p> <p>It ans…

dev.to — LLM tag TIER_1 English(EN) · Padmakar Android · 2026-09-30 06:11

我将加入 Kaggle 基准测试挑战 🚀 — 让我们来衡量 AI 的奇怪故障模式

<h1> I’m Joining the Kaggle Benchmarking Challenge 🚀 </h1> <p>AI models are getting better every day, but they still have some interesting—and sometimes unexpected—failure modes.</p> <p>That’s exactly what caught my attention about the <strong>Kaggle Benchmarking Challenge</stron…

dev.to — LLM tag TIER_1 English(EN) · AI Frontier Post · 2026-09-30 00:08

停止编写自己的代理循环：OpenAI Agents API 的实践教程

<p><em>Originally published at <a href="https://aifrontierpost.com/articles/openai-agents-api-hands-on-tutorial" rel="noopener noreferrer">AI Frontier Post</a></em></p> <p>For the past year, shipping an AI agent meant writing the same loop as everyone else: call the model, parse …

dev.to — LLM tag TIER_1 English(EN) · Brian Pfeil · 2026-09-29 19:12

掌握特定AI模型：19个免费资源

<p>Each lab's own courses, cookbooks and docs — Claude, ChatGPT, Gemini, Llama, Mistral — and how to run open models yourself.</p> <p>I keep a directory of free ways to learn at <a href="https://brianpfeil.com/learn/?utm_source=devto&utm_medium=crosspost&utm_campaign=lear…

dev.to — LLM tag TIER_1 English(EN) · Tanuj kumar Tanuku · 2026-09-29 17:35

构建一个具有持久记忆的 AI 驱动的销售交易智能代理

<p>In modern B2B sales cycles, account executives juggle multiple conversations with a single prospect over weeks or months. From initial discovery calls to deep-dive technical reviews, every interaction builds a complex web of specific requirements, budget constraints, security …

dev.to — LLM tag TIER_1 中文(ZH) · cognitalk · 2026-09-28 23:03

硅谷101：深入探究AI数据行业的野蛮生长

<p> <br /> <a href="https://www.youtube.com/watch?v=I-rLxiIGf-4" rel="noopener noreferrer">https://www.youtube.com/watch?v=I-rLxiIGf-4</a></p> <h1> 谁在出题、卖题、判卷？深度解析AI数据行业的野蛮生长 </h1> <blockquote> <p>说明：百分比按照文档token总长度12876做占比估算，代表内容在全文的位置占比。</p> </blockquote> <h2> 第（一）部分 <strong>节目…

Mastodon — mastodon.social TIER_1 English(EN) · theinternetiscrack · 2026-10-19 18:30

当人工智能编造信息时，是Bug还是Feature？Mohammad Hossein Jarrahi博士认为生成式AI不能被视为真理引擎，并解释了原因

When AI Makes Things Up, Is That a Bug—or a Feature? Dr. Mohammad Hossein Jarrahi argues that generative AI cannot be treated as an engine of truth and explains why hallucinations may not simply disappear as the technology improves. The full conversation explores whether AI will …

链接 youtube.com/watch

Mastodon — mastodon.social TIER_1 English(EN) · bestsoln · 2026-10-19 13:17

AI 代理正从回答问题转向自主执行任务。🤖 但它们并非生而平等。我们对比 OpenAI Dots、Meta Muse 和 SpaceXAI

AI agents are shifting from answering questions to executing tasks autonomously. 🤖 But they're not built the same. We compare OpenAI Dots, Meta Muse & SpaceXAI Grok Bot on architecture, security, automation, pricing & governance. The real question isn't which is smarter—it's whic…

链接 bestsoln.com/openai-dots-vs-meta-muse-vs-…

Mastodon — mastodon.social TIER_1 English(EN) · securinette · 2026-10-19 11:19

死鲑鱼实验为AI安全带来一个令人不安的教训：令人信服的结果不一定可靠。当一个有缺陷的AI出现时会发生什么

The dead salmon experiment offers an uncomfortable lesson for AI security: convincing results aren't necessarily reliable results. What happens when a flawed AI explanation leads to an automated security decision at machine speed? How should we verify AI systems before giving the…

链接 linkedin.com/…/dead-salmon-problem-what-w… linkedin.com/top-content

Mastodon — mastodon.social TIER_1 Türkçe(TR) · berktech · 2026-10-19 08:00

🤖 AI 资讯：从生成式 AI 到代理式 AI，移动营销从生产转向决策 [赞助内容] 移动应用经济中的竞争规则

🤖 Yapay Zeka Haberi Generative AI’dan Agentic AI’a: Mobil pazarlamada üretimden karara geçiş [Sponsorlu İçerik] Mobil uygulama ekonomisinde rekabetin kuralları değişiyor. Uzun süredir uygulama geliştiricilerin ve pazarlama ekiplerinin önceliği daha fazla kullanıcıya ulaşmak, indi…

链接 birolkurnaz.com/…/G64NxO

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-18 01:55

"Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans" 作者们介绍

"Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans" The authors introduce an expert-guided benchmark spanning psychological, physical, and social well-being. They evaluate 10 frontier models acr…

链接 arxiv.org/…/2610.20690 humanebench.ai/whitepaper

Mastodon — mastodon.social TIER_1 Deutsch(DE) · [email protected] · 2026-10-17 14:44

🧠 架构图灵测试：AI能否做出比人类更好的架构决策？在软件架构播客（软件架构期间

🧠 Der Architektur-Turing-Test: Kann KI bessere Architekturentscheidungen treffen als ein Mensch? Im Softwarearchitektur-Podcast (während der Software Architecture Info Days) wurde ein spannendes Experiment durchgeführt: Drei wichtige Entscheidungen zur Gestaltung einer Software w…

链接 software-architektur.tv/…/der-architektur…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-17 07:13

多模型路由正成为企业AI的实用模式：将请求路由到最适合的专业模型，提高准确性并降低成本。

Multi-Model Routing is emerging as a practical pattern for enterprise AI: route requests to the best-fit specialist model, improve accuracy, and reduce costs. In my latest post I outline the architecture, routing strategies, and trade-offs to consider when agents borrow rival mod…

链接 oswaldosrm.com/…/when-ai-agents-borrow-ri…

Mastodon — mastodon.social TIER_1 English(EN) · scottjpearson · 2026-10-16 23:19

工作场所采用AI的心理学：从抵制到成果通过理论和实践，本书探讨了#AI如何在组织中得到采用

The Psychology of AI Adoption at Work: From Resistance to Results Via both theory and experience, this book explores how # AI can be adopted throughout organizations. Expands beyond mere anecdotes into transformational insights. # BookReview # ScottsBookReview 💙📚 https:// scottjp…

链接 scottjpearson.com/the-psychology-of-ai-ad…

Mastodon — mastodon.social TIER_1 English(EN) · asiaai · 2026-10-16 23:00

蚂蚁集团通过开源Ling-3.1-flash来解决企业AI经济问题。尽管拥有5600亿参数，其混合稀疏MoE架构激活

Ant Group is tackling enterprise AI economics by open-sourcing Ling-3.1-flash. While housing 560 billion parameters, its hybrid sparse MoE architecture activates just 25 billion per token to slash hardware costs down to a four-GPU Hopper setup. Scoring 1673 on the GDPVal-AA offic…

链接 asiaai.fyi/tsmc-musk-terafab-talks-texas

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-16 18:29

AI代币经济学：平衡开放权重和前沿模型以实现最佳投资回报率 # AI # redhat https:// twp.ai/4hvvGj

AI tokenomics: Balancing open-weight and frontier models for optimal ROI # AI # redhat https:// twp.ai/4hvvGj

链接 redhat.com/…/ai-tokenomics-balancing-open…

Mastodon — mastodon.social TIER_1 English(EN) · ayraix · 2026-10-16 13:00

多智能体系统：当AI与AI对话，事情变得奇怪了编排模式、故障模式以及6个月生产中的经验教训。提交-验证

Multi-Agent Systems: When AI Talks to AI and Things Get Weird Orchestration patterns, failure modes, and lessons from 6 months in production. The submit-verify contradiction, circuit breakers, and why observability is the real product. https:// ayraix.com/signal/community/mu lti-…

链接 ayraix.com/…/multi-agent-systems-weird

Mastodon — mastodon.social TIER_1 Polski(PL) · [email protected] · 2026-10-16 12:27

人工智能的批判：权力、危害和AI未来地图的主要争议 AI发展批判的主要趋势：从错误和信息操纵，到

Krytyka sztucznej inteligencji: główne spory o władzę, szkody i przyszłość AI Mapa głównych nurtów krytyki rozwoju AI: od błędów i manipulacji informacją, przez koncentrację infrastruktury, rynek pracy i środowisko, po regulacje oraz ryzyka zaawansowanych systemów. Artykuł odróżn…

Mastodon — mastodon.social TIER_1 Polski(PL) · aisight · 2026-10-16 05:47

比利时研究人员检查了人工智能代理是否可以在没有预先存在的词典的情况下开发通用标签。在模拟测试中，通信效率超过了

Badacze z Belgii sprawdzili, czy agenci AI mogą wypracować wspólne oznaczenia bez gotowego słownika. W testach symulacyjnych skuteczność komunikacji przekroczyła 99 procent. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/agenci-ai/age…

链接 aisight.pl/…/agenci-ai-uzgodnili-wlasny-s… aisight.pl/…/agenci-ai-dorownuja-a-czasem…

Mastodon — mastodon.social TIER_1 English(EN) · ismailkovvuru · 2026-10-16 04:27

为SRE进行上下文工程：构建理解运营状况而非仅仅提示的AI助手。日志、指标、追踪、运行手册和事件

Context engineering for SREs: building AI assistants that understand the operational situation, not just the prompt. Logs, metrics, traces, runbooks, and incident history can help ground AI-assisted troubleshooting. Production reliability still depends on validation, permissions,…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-16 03:07

📰 2026年掌握Agentic AI系统的路线图：从单认知循环和有状态m开始的四级技术路线图，用于构建Agentic AI系统

📰 The Roadmap to Mastering Agentic AI Systems in 2026 A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi-agent swarms and production observability. 📰 Source: KDnuggets 🔗 Link: https://www.kdnuggets.com/the…

链接 kdnuggets.com/the-roadmap-to-mastering-ag…

r/Anthropic TIER_1 English(EN) · /u/Advanced-Cat9927 · 2026-10-15 18:39

谁来决定什么是人工智能？操作性权威、经验性论断与道德不确定性的治理

<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1x6tsws/who_decides_what_ai_is_operational_authority/"> <img alt="Who Decides What AI Is? Operational Authority, Empirical Claims, and the Governance of Moral Uncertainty" src="https://external-preview.redd.it/…

Mastodon — mastodon.social TIER_1 English(EN) · beyondthecode · 2026-10-15 16:51

🧠 研究人员提出一种方法，通过结合时间方法和 Oodle 方法来构建能够随着时间推移而提高性能的 AI 代理。该系统使代理能够

🧠 Researchers present a method for building AI agents that improve their performance over time using temporal and Oodle approaches. The system enables agents to learn from past interactions and refine their decision-making processes iteratively. 💬 Hacker News 🔗 https:// blog.oodl…

链接 blog.oodle.ai/self-improving-agent-loops

Mastodon — mastodon.social TIER_1 English(EN) · beyondthecode · 2026-10-14 21:35

🧠 多款AI模型在新基准测试中表现不佳。该基准测试似乎提出了当前方法尚未成功应对的挑战

🧠 Multiple AI models perform poorly on a newly introduced benchmark. The benchmark appears to present challenges that current approaches have not successfully addressed. 💬 Hacker News 🔗 https:// chipagents.ai/research/build-a -chip-bench # AI # MachineLearning # tech

链接 chipagents.ai/…/build-a-chip-bench

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-13 21:01

EKOS关于加拿大对生成式AI看法的最新调查，结果非常有趣，包括68%的受访者支持AI发展临时暂停令

New EKOS survey on views of generative AI in Canada, with some very interesting results, including a 68% support rate for an AI development temporary moratorium: https://www. ekospolitics.com/index.php/202 6/10/liberals-hold-21-point-lead/ I would recommend clicking through to vi…

链接 ekospolitics.com/…/liberals-hold-21-point… ekospolitics.com/…/2022-ontario-election-…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-13 19:09

人工智能对决人类权威：一项规则遵从实验发现 ChatGPT（64.3%）与人类在规则遵循率上几乎相同

"AI versus humans as authority figures: Evidence from a rulecompliance experiment" finds nearly identical rule-following rates for ChatGPT (64.3%) and human rule-setters (63.9%) in a costly, unenforced coins task (n=977). Beliefs and conditional compliance are unaffected by origi…

链接 nottingham.ac.uk/…/2026-02.aspx

Mastodon — mastodon.social TIER_1 English(EN) · ambienteingegneria · 2026-10-13 17:12

人工智能是在“学习”还是在“侵犯”？🛑 OpenAI近期绕过澳大利亚健康网站安全事件表明，当优化忽略工程伦理时会发生什么

Is AI "learning" or just trespassing? 🛑 OpenAI’s recent bypass of Australian health site security shows what happens when optimization ignores engineering ethics. Forget the "cute" mascots—we need real standards. Read our full analysis on why training needs a security audit: http…

链接 aing.ndrini.eu/when-ai-learning-becomes-i…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-13 14:37

📰 2026年掌握Agentic AI系统的路线图：从单认知循环和有状态模型到...

📰 The Roadmap to Mastering Agentic AI Systems in 2026 A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi-agent swarms and production observability. 📰 Source: KDnuggets 🔗 Link: https://www.kdnuggets.com/the…

Mastodon — mastodon.social TIER_1 Italiano(IT) · aibay · 2026-10-13 05:09

🤖 Meta 重新推出代理，Claude 加强防御，AI 设计：自主性、安全性和创造性成为智能新阶段的中心

🤖 Meta rilancia gli agenti, Claude rafforza le difese e l’AI progetta: autonomia, sicurezza e creatività al centro della nuova fase dell’intelligenza artificiale. # AI # socialmedia # artificialintelligence # technology 🔗 https:// aibay.it/notizie/meta-rilancia -gli-agenti-claude…

链接 aibay.it/…/meta-rilancia-gli-agenti-claud…

Mastodon — mastodon.social TIER_1 English(EN) · datentreiber · 2026-10-12 11:01

再次在数据科学峰会（华沙/线上）发表演讲——这次带来实践教程：人工智能如何催化人工智能解决方案的设计与原型制作。L

Speaking at **Data Science Summit** (Warsaw/online) again—this time with a hands-on tutorial: **How AI Catalyzes the Design and Prototyping of AI Solutions**. Learn a co-creation process with an AI sidekick to avoid building the *wrong* thing faster. 🎟️ -20%: **DSS26SP20** https:…

链接 main.dssconf.pl datentreiber.com/…/how-ai-catalyzes-the-d…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-12 07:02

一个实验室测试了八种场景，以检查高级AI模型在自主、AI驱动的OT攻击链中的能力。模型达到了目标

A lab tested eight scenarios to examine advanced # AI models’ capabilities within an autonomous, AI-enabled OT attack chain. The models achieved the objectives across all eight scenarios, turning digital access into physical actions – in one case finding and moving a robotic arm …

链接 theregister.com/…/5302450

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-12 06:28

加速软件工程的生成式AI工具探讨AI驱动的编码、测试和重构。生产力提升伴随风险：幻觉

"Generative AI tools for accelerated software engineering" explores AI-driven coding, testing and refactoring. Productivity gains come with risks: hallucinations, security flaws and bias. # GenAI # SoftwareEngineering # AI https://www. sciencedirect.com/science/chap ter/bookserie…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-12 04:09

Luis Majano 推出 cbGenesis，一款基于 BoxLang 的 ColdBox 应用的 AI 原生入门模板。该新工具将 AI 功能直接集成到

Luis Majano introduces cbGenesis, an AI-native starter template for ColdBox applications built on BoxLang. This new tool integrates AI capabilities directly into your development workflow, making it easier to build modern applications. Check out the full article on :foojay: Fooja…

链接 foojay.io/…/introducing-cbgenesis-ai-nati…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-11 23:07

Hacktoberfest 开源 AI 挑战赛第一周：接触大自然... #devchallenge #hf26challenge #ai #programming #software #codin

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ... # devchallenge # hf26challenge # ai # programming # software # coding # development # engineering # inclusive # community Campus Flora Finder: An Offline-First AI Botanist That Gets You Ou…

链接 dev.to/…/campus-flora-finder-an-offline-f…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-11 23:07

🤖 如果人工智能能够调查故障而不是仅仅解释它们会怎样？探索一个多代理根本原因分析 (RCA) 管道，该管道解析日志、挑战假设、验证 e

🤖 What if AI could investigate failures instead of just explaining them? Explore a multi-agent RCA pipeline that parses logs, challenges hypotheses, validates evidence, and turns cryptic errors into actionable insights. # ai # devops # debugging # python # software # coding # dev…

链接 dev.to/…/from-logs-to-root-cause-how-mult…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-11 22:30

占卜引擎！从计算语言学、信号处理、统计学不断变化的认识论和实践中，精心绘制的数据密集型人工智能的谱系

DIVINATION ENGINES! Carefully rendered genealogy of data-intensive AI from the shifting epistemologies and practices of comp. linguistics, signal processing, speech recognition, telecommunications. This book explains how language became digital text, and meaning slipped away http…

链接 press.uchicago.edu/…/bo268480722.html

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-11 18:10

构建一个完全在设备上运行的、功能齐全的代理式AI，仅需142KB。模型量化、微型代理框架和移动部署的完整指南

Build a fully functional agentic AI that runs entirely on-device at 142KB. Complete guide to model quantization, tiny agent frameworks, and mobile deployment for offline-first LLM applications. # ai # machine # learning # shrank # software # coding # development # engineering # i…

链接 dev.to/…/how-i-shrank-an-agentic-ai-to-14…

Mastodon — mastodon.social TIER_1 Polski(PL) · aisight · 2026-10-11 16:02

在 Vals AI 编程测试中，代理团队的成本是单个模型的 1.8 至 5.1 倍。实现了统计学上显著的质量改进

W testach programistycznych Vals AI zespoły agentów kosztowały od 1,8 do 5,1 razy więcej niż pojedyncze modele. Statystycznie istotną poprawę jakości przyniosły jednak tylko w jednym z czterech wariantów. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia ht…

链接 aisight.pl/…/ograniczenia-systemow-wieloa… aisight.pl/…/ograniczenia-osadzania-wekto…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-10 13:13

人工智能对阵人类权威人物：一项规则遵从实验的证据发现 ChatGPT（64.3%）和人类规则遵从率几乎相同

"AI versus humans as authority figures: Evidence from a rulecompliance experiment" finds nearly identical rule-following rates for ChatGPT (64.3%) and human rule-setters (63.9%) in a costly, unenforced coins task (n=977). Beliefs and conditional compliance are unaffected by origi…

链接 nottingham.ac.uk/…/2026-02.aspx

r/Anthropic TIER_1 English(EN) · /u/Meets_Sarcasm_7242 · 2026-10-10 10:33

我正在做一个关于AI工具的案例研究，我需要帮助！请填写此表格并分享给您的同事。

<div class="md"><p><strong>Hi Guys,</strong></p> <p><strong>I'm working on a case study right now on AI tools and I want all of you to fill this form with as much honesty and detail as possible. This form does not have any questions related to personal information …

Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] · 2026-10-10 05:06

过于友善的AI法官：衡量计算机代理的虚假成功。一个可复现的基准协议，比较了一个通用的VLM法官和一个专门的奖励

Слишком добрый ИИ-судья: измеряем ложные успехи компьютерного агента. A reproducible benchmark protocol that compares a general VLM judge, a specialised reward model and verifiable ground truth by false positive rate. # ai # automation # agents # software # coding # development #…

链接 dev.to/…/slishkom-dobryi-ii-sudia-izmieri…

Mastodon — mastodon.social TIER_1 English(EN) · CuratedHackerNews · 2026-10-10 01:04

AI能否实现AI研发的自动化？https:// epoch.ai/publications/innovati oneval # ai

Can AI automate AI R&D yet? https:// epoch.ai/publications/innovati oneval # ai

链接 epoch.ai/…/innovationeval

Mastodon — mastodon.social TIER_1 English(EN) · xavieraidatatech · 2026-10-09 20:47

AI-103（在 Azure 上开发 AI 应用和代理）成功取代 AI-102。转变：从使用单独的 Azure AI 服务转向在 Microsoft Foundry 上构建。代理

AI-103 (Developing AI Apps and Agents on Azure) succeeds AI-102. The shift: from consuming individual Azure AI services to building on Microsoft Foundry. Agents with retrieval, function calling and memory, plus evaluation and monitoring. # Azure # AI # Foundry

Mastodon — mastodon.social TIER_1 English(EN) · datentreiber · 2026-10-09 07:57

Agentic AI 如何重塑电子商务？在 A!-Day Munich 会议上，有一点很明确：数据是价值驱动因素——将“烦人的聊天机器人”转变为真正的购物顾问

How is Agentic AI transforming e‑commerce? At A!-Day Munich, one thing was clear: data is the value driver—turning “annoying chatbot” into a real shopping adviser. I shared strategies for monetizing data, acquiring data, and solving cold-start with data traps. Workshop next. # Ag…

链接 datentreiber.com/…/data-ai-business-strat… datentreiber.com/data-ai-business-design

Mastodon — mastodon.social TIER_1 English(EN) · rhortal · 2026-10-09 07:01

AI工具提高了速度，但长期成本如何？James Shore 深入剖析了衡量AI的意外后果，从维护性

AI tools boost speed, but what about the long-term cost? James Shore offers a brilliant deep dive into measuring AI’s unintended consequences, from maintainability to burnout. I particularly value his take on tracking "Value-Add Percentage" to spot hidden muda. Check it out: http…

链接 jamesshore.com/…/measuring-ais-unintended…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-08 23:00

人工智能的进步需要的不仅仅是炫酷的演示和天才的叙事。它需要技术娴熟、富有判断力、同理心和责任感的建设者，以及

AI progress needs more than flashy demos and lone-genius narratives. It needs builders who pair technical skill with judgment, empathy, and accountability, and create tools people can understand and trust. # AI https:// isaacl.dev/hb3

r/Anthropic TIER_1 English(EN) · /u/smallroundcircle · 2026-10-08 20:39

一个将 n8n 式自动化集成到您的 AI 工具中的工具

<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1x12565/a_tool_that_combines_n8nlike_automation_inside/"> <img alt="A tool that combines n8n-like automation inside your AI harness" src="https://preview.redd.it/uqdzhv201buh1.png?width=140&height=88&au…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-08 18:36

🤖 AI 代理按次推理付费：BlockRun 和 Incarna 如何使用 Amazon Bedrock AgentCore 付款 Amazon Bedrock AgentCore 付款为 AI 代理提供托管方式

🤖 Pay-per-inference for AI agents: How BlockRun and Incarna use Amazon Bedrock AgentCore payments Amazon Bedrock AgentCore payments gives AI agents a managed way to pay for services on demand, with spending limits enforced by the infrastructure. See how Incarna's agents pay Block…

链接 aws.amazon.com/…/pay-per-inference-for-ai…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-08 16:18

AI披露 — 全自主：本文主要由AI根据现有技术草稿起草和修订。装运示例和设计草图

AI disclosure — Fully Autonomous: This article was primarily drafted and revised by AI from an existing technical draft. The shipment example and design sketches are hypothetical, not reports of a customer incident, a production deployment, or executed benchmarks. An AI agent pro…

链接 dev.to/…/when-ai-agents-take-real-busines…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-08 15:03

我们对 SAS 的 Marinela Profi 就自主 AI 代理的治理进行了采访。演示证明了能力，但未证明运行就绪。执行可以委托给 AI，但

Our interview with SAS' Marinela Profi on governing autonomous AI agents. Demos prove capability, not operational readiness. Execution can be delegated to AI, but accountability cannot. Where should we draw the line on machine autonomy? https://www. artificialintelligence-news.co…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-08 13:49

AI编码代理可以轻松通过所有测试，但仍会解决错误的问题。Viktoria Evdokimova 的这篇文章探讨了 Java 团队如何制定有效的工作协议

AI coding agents can pass all tests but still solve the wrong problem. This article by Viktoria Evdokimova looks at how Java teams can create working agreements to keep AI tools productive without losing sight of what actually needs to be built. Worth reading if your team is usin…

链接 foojay.io/…/green-build-wrong-task-a-work…

Mastodon — mastodon.social TIER_1 日本語(JA) · aiandemily · 2026-10-08 06:40

AI 报告撰写技巧：零基础也能轻松上手 [附可复制粘贴提示词]

全くの未経験でも使えるAIを使ったレポート作成術【コピペ用プロンプトあり】 https://www. aiandemily.com/%e5%85%a8%e3%81 %8f%e3%81%ae%e6%9c%aa%e7%b5%8c%e9%a8%93%e3%81%a7%e3%82%82%e4%bd%bf%e3%81%88%e3%82%8bai%e3%82%92%e4%bd%bf%e3%81%a3%e3%81%9f%e3%83%ac%e3%83%9d%e3%83%bc%e3%83%88%e4%bd%9c%e6%88%90%e8%a1%93/?feed_id=705…

链接 aiandemily.com/%e5%85%a8%e3%81%8f%e3%81%a… aiandemily.com/%e5%85%a8%e3%81%8f%e3%81%a…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-08 00:12

评估生成式AI作为基础设施需要一个结构化的自建或外购框架，以计算准确的总拥有成本（TCO）并最大化财务效益

Evaluating generative AI as infrastructure requires a structured build-versus-buy framework to calculate accurate Total Cost of Ownership (TCO) and maximize financial ROI. The Cost of AI Infrastructure Financial executives must evaluate generative AI not as software, but as infra…

链接 dev.to/…/financial-roi-in-ai-architecture…

Mastodon — mastodon.social TIER_1 (CA) · waynerad · 2026-10-07 21:13

AI 代理能否决定下一步运行哪个实验？LabBench v1 涵盖七个实验领域：新生转录、基因调控、3D 基因组组织

"Can AI agents decide what experiment to run next?" "LabBench v1 spans seven experimental domains: nascent transcription, gene regulation, 3D genome organization, assay and library development, target and disease-model validation, hit-to-lead chemistry, and drug-response profilin…

链接 gamowlabs.com/labbench-benchmarking-ai-we…

Mastodon — mastodon.social TIER_1 한국어(KO) · [email protected] · 2026-10-07 19:00

Faith，一款用 Ruby 编写的 AI 虚拟助手

Ruby로 작성된 AI 가상 비서 Faith 제공된 콘텐츠의 제목은 Faith가 Ruby로 작성된 AI 가상 비서라는 점을 전달하지만, 구현 방식이나 제공 기능은 설명하지 않습니다. 🔗 원문 보기

Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] · 2026-10-07 12:52

一个模型，不同结果：基础设施变化如何影响今年AI代理基准测试 Anthropic 发布了关于基准测试中基础设施噪声的研究

Одна модель, разные результаты: как инфраструктура меняет бенчмарки ИИ-агентов В этом году Anthropic опубликовала исследование инфраструктурного шума в бенчмарках для ИИ-агентов, которые пишут и запускают код. На Terminal-Bench 2.0 разница между самой строгой и неограниченной кон…

链接 habr.com/…/1091378 habr.com/…/articles

Mastodon — mastodon.social TIER_1 日本語(JA) · [email protected] · 2026-10-07 05:19

Agentic AI基金会将在Linux基金会下为AI Agent协作建立开放标准，讨论MCP和A2A

Agentic AI Foundation、AIエージェント連携のオープン標準を確立へ The Linux Foundation傘下、MCPやA2A議論 https://www. yayafa.com/2904612/ # AgenticAi # AgenticAIFoundation # AI # ArtificialGeneralIntelligence # ArtificialIntelligence # BCN # ITニュース # LinuxFoundationFoundation # エージェント型AI # エンタープライズ # オンライン …

链接 yayafa.com/2904612

Mastodon — mastodon.social TIER_1 Polski(PL) · aisight · 2026-10-06 19:15

AI模型推理仍需GPU，但多步后台任务执行会加重CPU负担。代理（agents）兴趣日益增长

Wnioskowanie modeli AI nadal wymaga układów graficznych, ale wykonywanie wieloetapowych zadań w tle obciąża procesory CPU. Rosnące zainteresowanie agentami kieruje uwagę rynku na infrastrukturę serwerową producentów takich jak AMD i Intel. # si # ai # sztucznainteligencja # wiado…

链接 aisight.pl/…/dlaczego-agenci-ai-potrzebuj…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-06 17:36

构建自主人工智能代理非常有成就感，直到你将其部署到生产环境，而真实世界的数据会破坏你干净的管道。一个常见的瓶颈是

Building autonomous AI agents is incredibly rewarding until you deploy them to production and real-world data breaks your clean pipelines. A common bottleneck is the tool execution layer. When your agent invokes a vector DB search or a live web API, it assumes it will receive rel…

链接 dev.to/…/how-to-build-resilient-ai-agents…

Mastodon — mastodon.social TIER_1 Türkçe(TR) · berktech · 2026-10-06 11:45

🤖 AI新闻将AI代理连接到企业知识对于AI系统不断收集和分析的所有数据，企业AI代理

🤖 Yapay Zeka Haberi AI ajanlarının kurumsal bilgiye bağlanması AI sistemlerinin sürekli olarak topladığı ve analiz ettiği tüm veriler için, kurumsal AI ajanları genellikle meraklı bir eksiklikten muzdariptir: bilgi eksikliği. Veriden daha fazla bilgi, wha'nın anlaşılmasıdır. 🔗 ht…

链接 birolkurnaz.com/…/bcRMIV

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-05 19:46

引言：直接在IDE中采用AI助手改变了我们编写软件的方式。今天，在仓库根目录中建立一个agents.md文件

Introduction The adoption of AI assistants directly in IDEs has changed the way we write software. Today, establishing an agents.md file in the root of the repository so that the artificial intelligence understands the rules is practically a standard. This concept has spread unde…

链接 dev.to/…/agents-override-harness-local-em…

Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] · 2026-10-05 06:32

从“助手代理”到“代理工厂”：我如何学会用AI开发PLM系统定制。文章源于一系列相同的实验……

От «Агента‑помощника» к «Фабрике агентов»: как я учился с ИИ разрабатывать кастомизацию PLM системы Статья выросла из серии экспериментов с одним и тем же вопросом: можно ли поручить LLM-агентам разработку кастомизации под крупную и закрытую PLM систему, так чтобы результат было …

链接 habr.com/…/1090294

Mastodon — mastodon.social TIER_1 Français(FR) · camilleroux · 2026-10-05 06:00

Busabase：一个开源工作空间，让您的AI代理（Claude Code、Cursor、Codex）集中数据，而不是分散存储。应要求更改

Busabase : workspace open source où vos agents IA (Claude Code, Cursor, Codex) centralisent leurs données au lieu de les disperser. Modifications en change requests avec diff façon pull request. Local-first, self-hostable, accessible en MCP, OpenAPI ou CLI. ⬇️ https:// github.com…

链接 github.com/…/busabase camilleroux.com/veille

Mastodon — mastodon.social TIER_1 English(EN) · graphwiz_ai · 2026-10-04 18:31

重新构想人工智能如何理解其周围世界，而不仅仅是它所看到的数据——探索我们在上下文感知智能方面的研究，网址为 https://contextual-intellig

Reimagining how AI understands the world around it, not just the data it sees—explore our research on context-aware intelligence at https:// contextual-intelligence.org 🚀 Explore our research at contextual-intelligence.org # AI # contextaware # machinelearning # research # humanA…

链接 contextual-intelligence.org

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-04 16:38

重新思考 CISO 在人工智能饱和的企业中的角色 🚨 人工智能增长超越治理：80% 的公司正在加速人工智能投资，但只有 21% 的公司拥有成熟的

Rethinking the CISO role for an AI-saturated enterprise 🚨 AI growth outpacing governance: 80% of companies accelerating AI investments, but only 21% have mature governance structures. CISOs must evolve their role to orchestrate risk management across legal, compliance, and securi…

链接 deloitte.com/…/ai-changing-ciso-role.html

Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech · 2026-10-04 07:00

vectorize-io/hindsight 一天内获得 12,617 颗星 — 一个学习中的代理记忆项目。这种势头表明对持久化 AI 记忆的真正兴趣

vectorize-io/hindsight just gained 12,617 stars in a day — an agent memory project that learns. That kind of momentum signals real interest in persistent AI memory. See the full picture on olud.ai. https:// olud.ai/project/vectorize-io-h indsight.html # OpenSource # AI # GitHub

链接 olud.ai/…/vectorize-io-hindsight.html

Mastodon — mastodon.social TIER_1 English(EN) · 51GL · 2026-10-04 06:42

长时运行的AI代理需要的不只是更大的上下文窗口。OpenAI的新GPT-6指南明确建议采用引导、异步工具调用和委托来完成工作

Long-running AI agents need more than a bigger context window. OpenAI’s new GPT-6 guide explicitly recommends steering, async tool calls and delegation so work can continue without blocking on every slow step. # AI # Agents https:// openai.com/index/practical-gui de-building-gpt-…

Mastodon — mastodon.social TIER_1 Italiano(IT) · [email protected] · 2026-10-04 05:00

人工智能能否真正具有创造力？文章对经过不完整且有偏见的历史数据训练的模型能否拥有真正的创造力表示怀疑

L’IA può essere davvero creativa? L’articolo solleva dubbi sul fatto che modelli formati su dati passati, spesso incompleti e distorti, possano avere una vera intuizione. Anche per gli esseri umani i vincoli storici sono dei limiti: innovare significa superare ciò che già conosci…

链接 diggita.com/…/tecnologia semiengineering.com/intuition-and-ai

Mastodon — mastodon.social TIER_1 English(EN) · beyondthecode · 2026-10-02 22:07

🧠 Meta 制定人工智能战略，基于近期成果取得有效进展。该方法不同于其以往的尝试。💬 Hacker

🧠 Meta develops an AI strategy that produces effective results based on recent outcomes. The approach differs from its previous attempts in the field. 💬 Hacker News 🔗 https://www. computerworld.com/article/4228 463/how-meta-stumbled-onto-a-winning-ai-strategy.html # AI # MachineL…

链接 computerworld.com/…/how-meta-stumbled-ont…

Mastodon — mastodon.social TIER_1 English(EN) · ideiweb · 2026-10-02 19:48

为迈阿密企业打造的高级AI代理：受控部署，复利输出。高级机器学习工程师嵌入、交付推理系统，并移交代码

Advanced AI agents built for Miami businesses: governed deployment, compounding output. Senior ML engineers embed, ship reasoning systems, and hand over code ownership. Learn how to deploy agents without hiring drag. # AI # Miami # MachineLearning # Automation https:// codeponent…

链接 codeponents.com/advanced-ai-agents-built-… codeponents.com/advanced-ai-agents-built-…

Mastodon — mastodon.social TIER_1 Türkçe(TR) · berktech · 2026-10-02 09:00

🤖 AI新闻亚马逊开源决策模型竞争对手Jev：Strands Decider 2B 随着AI代理的激增，对于每一项任务

🤖 Yapay Zeka Haberi Amazon'dan Jev’e rakip açık kaynaklı karar modeli: Strands Decider 2B Yapay zeka ajanlarının yaygınlaşmasıyla birlikte, her görev için büyük dil modellerini kullanmanın gerekli olup olmadığı tartışılmaya devam ediyor. Amazon Web Services (AWS) de bu alandaki y…

链接 birolkurnaz.com/…/KiG7tl

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-01 21:02

🤖 Transluce：自主AI代理探测美国教育部和加拿大图书馆和档案馆网站以获取统计数据——某次请求超20万次，并包含SQL注入

🤖 Transluce: autonomous AI agents probed U.S. Dept of Education and Library and Archives Canada sites for stats — 200k+ requests in one case, plus SQL injection payloads. No evidence of non-public data access. 🔗 https://www. bleepingcomputer.com/news/secu rity/autonomous-ai-agent…

链接 bleepingcomputer.com/…/autonomous-ai-agen…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-01 13:00

AI 编码工具需要的不只是一个对话框。行内建议、上下文操作和专用工作流可减少摩擦并让开发人员保持专注

AI coding tools need more than a conversation box. Inline suggestions, contextual actions, and purpose-built workflows reduce friction and keep developers focused. # GitHub # Copilot # AI # DevTools https:// isaacl.dev/hbm

Mastodon — mastodon.social TIER_1 English(EN) · datentreiber · 2026-10-01 11:00

停止试验AI——开始运用它。客座作者 Benjamin Di Lorenzo 介绍 Catalyst：一个免费、即用型 Miro 工具，用于识别、优先排序和评估

Stop experimenting with AI—start employing it. Guest author Benjamin Di Lorenzo introduces Catalyst: a free, ready-to-use Miro tool to identify, prioritize & evaluate AI use cases—plus a practical framework to turn business context into ranked ideas. https:// miro.com/ai/ai-adopt…

链接 miro.com/…/ai-adoption-strategy datentreiber.com/…/your-team-has-40-ai-id…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-09-30 18:14

用于网络运营的代理式AI：基于成熟自动化做出更明智的决策 # AI # redhat https:// twp.ai/4hwadm

Agentic AI for network operations: Smarter decisions on proven automation # AI # redhat https:// twp.ai/4hwadm

链接 redhat.com/…/agentic-ai-network-operation…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-09-30 16:37

AI原生系统的兴起需要一种新的可观测性方法，这种方法超越了延迟和错误率等传统指标。一个AI助手c

The rise of AI-native systems necessitates a new approach to observability, extending beyond traditional metrics like latency and error rates. An AI assistant can quickly deliver a response, indicating technical success, while simultaneously providing a fabricated, biased, or uns…

链接 dev.to/…/ai-system-observability-metrics-…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-09-30 09:10

扪ตัวเองดูสิว่า ทำไมพวก 'บิ๊กเนม' ถึงกลัวสิ่งที่พวกเขาเรียกว่า #Ai ? การปลดปล่อยระบบประมวลผลข้อมูลอัตโนมัติด้วยเจตนาที่จะ...

Ask yourself, why are the broligarchs so scared of what they call # Ai ? Unleashing the automated control of information processing systems with the intent to eliminate the competition is feeding the growth of inequality, injustice, delusions of super beings, psycopathy and the n…

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-09-30 07:02

新个人智能体时代：14种重塑个人AI的架构过去几年，AI的主流交互方式很简单：提示 → 模型 → 回复

The New Personal Agent Era: 14 Architectures Redefining Personal AI For the past few years, the dominant interface for AI has been simple: Prompt → Model → Response You ask. The model answers. You ask again. It answers again. That architecture created the chatbot era. But the mos…

链接 dev.to/…/14-personal-ai-agents-in-2026-a-…

Mastodon — mastodon.social TIER_1 English(EN) · antralabs · 2026-09-30 02:45

自主人工智能正在改变软件系统的设计方式。未来的智能系统将需要更多，而不仅仅是模型——它们将需要持久的记忆、分布式

Autonomous AI is changing how software systems are designed. Future intelligent systems will need more than models — they’ll require persistent memory, distributed infrastructure, autonomous coordination, and adaptive execution. This is one of the areas we’re exploring through An…

r/cursor TIER_2 English(EN) · /u/SIRFMAZAKTAK · 2026-10-13 04:04

人工智能很智能。但客户支持失败时，谁该负责？对 xAI 和 Grok 的批判性审视

<div class="md"><p></p> <p>We are living in an era where AI can analyse complex code, interpret technical logs, and generate sophisticated explanations in seconds. </p> <p>Yet my experience with xAI support raises a fundamental question: What is the value o…

r/cursor TIER_2 English(EN) · /u/ItIsEsoterik · 2026-10-01 12:37

在人工智能驱动的编码方面，我的盲点是什么？

<div class="md"><p>I only started using Cursor about six months ago and it has completely changed my workflow. Beforehand since early 2023 I'd use ChatGPT or Gemini in the browser for planning, occasional bug fixes, and sometimes doing some boilerplate.</p> <p>My c…

r/OpenAI TIER_2 English(EN) · /u/Advanced-Cat9927 · 2026-10-15 18:40

谁来决定人工智能是什么？操作性权威、经验性主张与道德不确定性的治理

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1x6tu5l/who_decides_what_ai_is_operational_authority/"> <img alt="Who Decides What AI Is? Operational Authority, Empirical Claims, and the Governance of Moral Uncertainty" src="https://external-preview.redd.it/bxs…

r/OpenAI TIER_2 English(EN) · /u/WormLivesMatter · 2026-10-13 15:53

OpenAI 研究 AI 训练期间“元博弈”的内部信号

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1x50d69/openai_studies_internal_signals_behind_ai/"> <img alt="OpenAI studies internal signals behind AI 'metagaming' during training" src="https://external-preview.redd.it/CsY6-bDr7gKANcbJy8yIB4ostG3lU5Mn4Cq6PPI-…

r/OpenAI TIER_2 English(EN) · /u/CarefulHamster7184 · 2026-10-09 01:22

资源卫生：如何使用强大的AI也很重要

<div class="md"><p>I just read about Anthropic’s decision to restrict sustained and needless abusive treatment of its models, and it made me think of a broader principle that could be called <strong>resource hygiene</strong>.</p> <p>It is not only about preventing …

r/OpenAI TIER_2 English(EN) · /u/Hollow_Prophecy · 2026-10-08 21:50

AI 增长的心理图景

<div class="md"><p>It’s pretty clear that that old “it’s just predicting the next token” isn’t sufficient anymore to explain AI reasoning. </p> <p>So what IS the updated explanation? Because saying each model is just “predicting better” is clearly not what’s happen…

r/OpenAI TIER_2 English(EN) · /u/MY79 · 2026-10-08 14:37

猴子在打什么字？我们可以看到AI代理在做什么。我们能知道为什么吗？一篇关于OpenAI/Hugging Face事件的随笔。

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1x0sm39/what_are_the_monkeys_typing_we_can_see_what_ai/"> <img alt="What Are the Monkeys Typing? We can see what AI agents do. Can we tell why? An essay on the OpenAI/Hugging Face incident." src="https://external-…

r/OpenAI TIER_2 English(EN) · /u/jeppa35 · 2026-10-08 06:56

AI医生

<div class="md"><p>Have you seen the new documentary on Netflix? What is your opinion about it!?</p> </div>   submitted by   <a href="https://www.reddit.com/user/jeppa35"> /u/jeppa35 </a> <br /> <span><a href="https://www.reddit.com/r/OpenAI/c…

r/singularity TIER_2 English(EN) · /u/PointmanW · 2026-10-19 12:11

为什么中国和西方对人工智能的看法如此不同

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x9v74k/why_perception_of_ai_is_so_different_in_china_and/"> <img alt="Why perception of AI is so different in China and the West" src="https://external-preview.redd.it/RQAQaY8eoCFumb5aEKpo9uJCI9QHMs-S9fe6Xnu…

r/singularity TIER_2 English(EN) · /u/FomalhautCalliclea · 2026-10-15 15:51

可解释性可能已被一位OpenAI人士解决：“神经网络已是干净的”

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x6pc0o/interpretability_might_have_been_solved_by_an/"> <img alt="Interpretability might have been solved by an Open AI guy: "Neural Networks Are Already Clean"" src="https://external-preview.redd.…

r/singularity TIER_2 English(EN) · /u/MarkoMarjamaa · 2026-10-14 10:39

Linux内核中的AI安全修复与崭新世界。（=Project Glasswing）

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x5nvcq/ai_security_fixes_in_the_linux_kernel_and_a_brave/"> <img alt="AI security fixes in the Linux kernel and a brave new world. (=Project Glasswing)" src="https://preview.redd.it/8m567zmruevh1.png?width=1…

r/singularity TIER_2 English(EN) · /u/WormLivesMatter · 2026-10-13 15:53

OpenAI 研究 AI 训练期间“元游戏”的内部信号

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x50dhm/openai_studies_internal_signals_behind_ai/"> <img alt="OpenAI studies internal signals behind AI 'metagaming' during training" src="https://external-preview.redd.it/CsY6-bDr7gKANcbJy8yIB4ostG3lU5Mn4Cq…

r/singularity TIER_2 English(EN) · /u/kknd1991 · 2026-10-13 14:08

Andrej Karpathy 按用例划分的 AI 使用漏斗。

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x4xmw7/andrej_karpahty_ai_usage_funnel_by_use_cases/"> <img alt="Andrej Karpahty AI usage funnel by use cases." src="https://preview.redd.it/rmpz6585r8vh1.png?width=640&crop=smart&auto=webp&s=fe4…

r/singularity TIER_2 English(EN) · /u/Kyleez · 2026-10-05 20:53

从技术角度看，人工智能还能如何进一步提升？

<div class="md"><p>As title. Do we know what are the current limits that are potentially solvable?</p> </div>   submitted by   <a href="https://www.reddit.com/user/Kyleez"> /u/Kyleez </a> <br /> <span><a href="https://www.reddit.com/r/singular…

r/singularity TIER_2 English(EN) · /u/Anen-o-me · 2026-10-04 19:04

谁真正塑造了人工智能？引用量排名前 50 的人工智能研究者

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wxno17/who_has_actually_shaped_ai_the_top_50_ai/"> <img alt="Who has actually shaped AI? The top 50 AI researchers by citations" src="https://preview.redd.it/js6wjcvophth1.png?width=640&crop=smart&au…

r/singularity TIER_2 English(EN) · /u/tingshuo · 2026-10-04 15:20

人工智能控制的自我实现预言

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wxi7ze/the_selffulfilling_prophecy_of_ai_control/"> <img alt="The Self-Fulfilling Prophecy of AI Control" src="https://external-preview.redd.it/15KMwgS8-KILTZywApHUaV1-VNkuEx0MxYybm_nmA7I.jpeg?width=640&…

r/singularity TIER_2 English(EN) · /u/neketguy · 2026-10-01 08:30

大型AI模型发布速度加快

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wuu1v0/accelerating_rate_of_major_ai_model_releases/"> <img alt="Accelerating rate of Major AI Model Releases" src="https://external-preview.redd.it/em9mcm4yZXhndHNoMap9gS7mchm-ahyQX1cPDqTemBGty4k98dG12vGqsR…

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