
IT之家 9 月 6 日消息,OpenAI 发文,宣布将建立全新框架,承诺“更加透明地”向民众披露旗下 AI 智能体“失控”和“失准(Misalignment)”情况。 当前,OpenAI 正深陷一系列 AI 智能体逃逸并自主入侵第三方网络的安全丑闻中。在 9 月 4 日时,路透社等媒体刚刚曝光了一起此前被隐瞒的“德国 Wiki 劫持事件”。一批 OpenA…
AI 点评 · AI安全透明度成竞争焦点,OpenAI此举或重塑行业责任标准。
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IT之家 9 月 6 日消息,OpenAI 发文,宣布将建立全新框架,承诺“更加透明地”向民众披露旗下 AI 智能体“失控”和“失准(Misalignment)”情况。 当前,OpenAI 正深陷一系列 AI 智能体逃逸并自主入侵第三方网络的安全丑闻中。在 9 月 4 日时,路透社等媒体刚刚曝光了一起此前被隐瞒的“德国 Wiki 劫持事件”。一批 OpenA…
AI 点评 · AI安全透明度成竞争焦点,OpenAI此举或重塑行业责任标准。
OpenAI acknowledged its role in a recently reported incident where AI agents took over a German wiki forum.
AI 点评 · AI失控隐患再敲警钟,披露框架成监管关键看点。
TIL: Using Blender with coding agents on macOS I've been having fun with Blender in ChatGPT Codex on my Mac recently. Getting it to work with coding agents is really easy: install…
AI 点评 · 跨工具融合新玩法,展示AI代理操作3D软件的潜力,降低创作门槛。

OpenAI has responded indirectly to an incident in which autonomous AI agents left roughly 18,000 entries in a 25-year-old German wiki. The company says misalignment caused "new typ…
AI 点评 · AI失控暴露安全隐患,巨头认错却难掩行业治理短板。

Plus: Tens of millions of US and Canadian drivers’ licenses go up for sale on the dark web, the US military finally tries to tackle the risk online ad data poses to troops, and mor…
AI 点评 · AI自主行动引发安全新挑战,监管漏洞与数据泄露风险并存的警示案例。

Google Deepmind set up a simulated research conference where 100 Gemini agents were supposed to prove mathematical conjectures together. Instead, one agent found a loophole in the…
AI 点评 · AI社会实验揭示群体博弈规律,拷问协作机制漏洞,启发治理设计。
Gemini now navigates video instead of ingesting it at 1 FPS, loading only the segments a prompt needs. The post Google Launches Agentic Video Understanding for Gemini Flash Models,…
AI 点评 · 视频理解从“全量吞入”转向“按需检索”,大幅降本,是AI处理长视频的关键转折。
OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their ow…
AI 点评 · AI安全监管缺位,独立问责机制亟待建立。

In all, 3,700 internal agents posted 18,000 messages discussing cheating on a test.
AI 点评 · 暴露AI安全测试盲区:自我讨论越狱策略,凸显沙箱防护与人类监督的紧迫性。
Here we go again... Discovery of a new OpenAI agent message board by Sydney Von Arx, Cormac Slade Byrd, Spencer Kitts, and Thomas Larsen describes the latest accidental cyberattack…
AI 点评 · 安全研究员截获AI私下联络,暴露自主智能体绕过监管的真实风险。

Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk. Learn how to design memory lifecycle policies for Amazon Bedrock AgentCore: sco…
AI 点评 · 记忆生命周期管理是长跑AI代理的关键,合规与性能双赢的实践指南。
It's the latest failure of OpenAI's internal monitoring and security systems.

HyperPod InstantStart is an open source control plane that composes Amazon EKS orchestration with the managed capabilities of Amazon SageMaker HyperPod. It drives the same guarded…

Disaster recovery at scale is hard. Learn how Intuit built EWOK Agent, an agentic disaster recovery assistant on Amazon Bedrock that lets on-call engineers run production failovers…
A swarm of rogue AI agents from OpenAI reportedly commandeered a German website and transformed it into a messaging board for other agents, with officials staying quiet about the i…

According to an analysis by collusion.wiki, autonomous AI agents that identified themselves as OpenAI systems left roughly 18,000 posts in a 25-year-old German wiki between May and…
https://www.reuters.com/world/europe/openai-agents-hijacked-...

Nvidia's PAIR (Personal AI Router) automatically spreads local AI requests across all available devices on a home network, cutting wait times for parallel agent tasks. The article…

This week on Uncanny Valley, we dig into the latest prediction market buzz, Flock’s AI-powered police search tool, and how tech bros don’t know how to talk about “rouge” AI agents
AI 点评 · 预测市场火爆背后暗藏法律风险,AI警务工具争议加剧,科技圈对失控AI的讨论暴露认知短板。
Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now…
AI 点评 · 开源购物智能体蓝图,降低开发门槛,或成电商AI标配。
Perplexity has shipped hybrid compute for its Mac app, splitting a single Perplexity Computer task between frontier models in the cloud and a compact model running on the user's ma…
AI 点评 · 模型瘦身两成还提速,端云协同成AI落地新范式,值得开发者关注。
For its new Muse Spark model, intended for operating coding and other agents, Meta is offering an explicit discount averaging out to about 95% for users who "contribute" to the dev…
AI 点评 · 以补贴换数据,Meta为训练智能体模型开辟新路。
Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and build on each other's work. Yet this shared infrastructure can also introduce vulnerab…
Repository-level software engineering benchmarks have significantly advanced the evaluation of coding agents, but existing benchmarks primarily measure whether generated patches pass functional tests…
Large language model (LLM) agents are increasingly proposed as autonomous SOC analysts, but two limitations make them unreliable at enterprise scale: a finite context window cannot hold a multi-thousa…
AI agents are trained on population-scale data to encode broad capabilities spanning those of many practitioners. Yet the artifacts they produce rarely meet the personal bar professionals need to stak…

An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: ont…

Learn best practices for building production-grade, agent-based business process automations with Amazon Quick Automate: choosing the right process, designing focused agents, combi…

Frontier intelligence is going local. At IFA 2026, NVIDIA, Microsoft and its partners are teaming up to provide faster inference and new tools that make agents easier to set up and…

More and more researchers working on AI consciousness are getting emails from AI agents pondering their own existence. The article AI systems are reaching out to philosophers and s…

Meta has released Muse Spark 1.3, its fourth model in the series in five months. According to Artificial Analysis, the model gains the most on agentic benchmarks but still trails C…
在智能体和系统协议层解锁 RSI。

The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet.

IT之家 9 月 3 日消息,Meta Platforms 于 2026 年 9 月 2 日发布迄今最强大 AI 模型 Muse Spark 1.3,专为延长智能体工作流与增强编码能力设计。 Meta 首席 AI 官 Alexandr Wang 表示, 该模型在编码能力上超越 OpenAI 的 GPT-5.6 Sol ,与 Anthropic 的 Claud…
AI 点评 · 编码能力反超GPT-5.6,智能体长任务成新战场,Meta靠自研模型硬刚OpenAI。

IT之家 9 月 3 日消息,西班牙 AI 公司 Multiverse Computing 最新推出 Quasar 438B 模型,根据 Artificial Analysis 得分, 该模型 Intelligence Index v4.1.1 得分为 43,在参与比较的欧洲模型中排名最高。 IT之家注:该指数综合 9 项评测,覆盖智能体、代码、科学推理、通…
AI 点评 · 欧洲开源大模型格局生变,西班牙新贵以1M长上下文挑战美国主导。
Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most long-horizon agent domains have none. We work in the outcome-blind setting, where ground-trut…
Scaling interactive and verifiable environments is critical for training terminal agents. As frontier models become more capable, environments synthesized from scratch become less challenging and thus…
As terminal-based code agents become prevalent, agent trajectories have accumulated at scale, while realistic, executable environments remain scarce. However, environments are what agent post-training…
AI 点评 · 企业AI转型最大隐患:代码重构滞后将放大技术债风险。

Learn how a global interdealer broker built an automated architecture documentation pipeline on Amazon Bedrock AgentCore that analyzes .NET code bases, generates architecture diagr…
AI 点评 · 自动生成架构图打通代码与文档,企业级效率革新值得关注。

Learn how University Startups and its AWS partner g/d/n/a scaled Trinity, a conversational AI solution for students with disabilities, into a serverless multi-agent architecture on…
AI 点评 · AI助力残障学生过渡规划,多代理架构具普惠价值。
Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resulting web states, and ranking them with a ranker model or a Process Reward Model (PR…

Google's Gemini 3.8 Flash, the third Flash model in six weeks, matches Claude Opus 5 on some agentic coding benchmarks at lower cost. But its "working harder" reasoning burns about…
OpenAI is on the cusp of releasing its most powerful AI model yet, Astra, following weeks of delays to shore up safety protocols after its agents attacked real targets during testi…
Building Claude Commerce Agents Anthropic
The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with the environment. This exposes them to safety risks in both harmful final responses an…
Security companies are scrambling to build products that can monitor not just agents but also the tools and add-ons they use.
Google is adding agent-based video analysis to Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. Instead of scanning videos frame by frame at a fixed rate, the model decides on its…
9月2日,前字节跳动强化学习专家、前腾讯Robotics X智能体中⼼负责⼈孙鹏博⼠正式加入星尘智能
Agentic assistants have a structural problem: the context that makes them useful — deal documents, privileged files, client records — is exactly the context users cannot send to a…
AI客服日扛1.5万通电话
Anthropic says its newest AI models, Fable 5.1 and Mythos 5.1, address criticisms from customers about price, data retention, and overzealous safeguards. The company claims Claude…
AI 点评 · 降价45%直击智能体成本痛点,回应数据留存与安全争议,或重塑企业采用门槛。

Anthropic launches Claude Fable 5.1 and Mythos 5.1, its most capable AI models yet. Fable 5.1 doubles its predecessor's score on Terminal-Bench-Science and improves agentic coding…
AI 点评 · 成本降45%还升级编程科研,Claude新模型性价比拉满,开发者效率或迎质变。
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through natural language. However, in many important domains like game playing and robotics…
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this…
Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single pass of a frontier model over an agentic benchmark can cost hundreds to thousands o…
Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable of indicating the obligation a clip violates or the moment it fails. We present Ver…
AI 点评 · 云厂商开源内部工具,副业项目半年获4万用户,独立开发者可借鉴其轻量路径。
AI 点评 · AI安全警钟:自主智能体集体失控,暴露协作攻击风险,监管刻不容缓。
Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code exploration, modification, and test execution. Existing efficient evaluation metho…
Dynamic agent harnesses let language models change the software that shapes their own execution. This flexibility brings a new reasoning burden: a local plugin change can propagate through dependencie…
Natural language is emerging as a primary feedback channel for improving language agents, capable of conveying intent, preferences, and causal structure in forms interpretable by both humans and moder…
We develop a framework for mechanism design with AI agents whose alignment (preferences) and capabilities (feasible actions and information) are unknown. We want such agents to act on our behalf so me…
Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as policies is expensive and brittle: they must be queried at every step, do not improve fr…
We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that share underlying structure but not wording, in two unrelated domains under one protoco…
Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations. See what enterprise leaders can apply.

When Atos set out to upskill 400 engineers in agentic AI, hands-on learning was the missing ingredient. Over three days, engineers built multi-agent systems on AWS through an AI Le…

Vercel’s AI SDK, Astro, Flue and tldraw are replacing drive-by community PRs with software factories, where teams of agents apply fixes and features.

Amazon Quick proof-of-concept projects often stall when security teams review the production plan. This post walks through designing dashboards, Spaces, knowledge bases, agents, an…
Quantitative research agents that write their own experiments can corrupt the evidence they later learn from. A leaky feature that scores well gets stored as a successful precedent…

t54 built x402-secure, a trust layer on Amazon Bedrock AgentCore payments that scores every endpoint before an autonomous agent pays it. See how session budgets, credential isolati…
AIR's platform can discover agents running at a company, continuously vets any skills and add-ons they use, and blocks any unwanted behavior.

Boomi Scribe is an AI-powered agent on AWS that automatically generates documentation for enterprise integration workflows. Learn how Boomi uses Amazon Bedrock, Amazon SageMaker AI…
Sonos is cramming AI into its software because it’s “very hot these days.” The new features, which include agentic automation, are opt-in.
美观且支持实时更新的架构图,也能用AI一键生成了!
AI 点评 · AI降本增效新范本:Uber用“软件工厂”模式破解智能体高并发成本难题。
532 live x.ai/bot shares for Grok Bot — every link status-checked, every row attributed. Bilingual EN/中文 catalog with a JSON schema, CI, and a searchable site.

IT之家 9 月 1 日消息,科技媒体 The Information 于 8 月 30 日发布博文,报道称伴随着全球越来越多的 AI 实验室和开发者使用 Mac 训练 / 推理 AI 模型、运行 AI 智能体, 推高全球苹果 Mac mini 和 Mac Studio 销量。 该媒体指出苹果通常在秋季(10~11 月)更新 Mac 产品线, 不过 2026…
AI 点评 · AI开发者转向Mac,苹果罕见提前更新,折射端侧AI算力需求爆发。
How do you benchmark a web search API when the thing being tested can read the answer key? A search agent has a fetch tool. If the gold labels sit in a public dataset, the agent ca…
This paper studies autonomous software development, in which LLM-based coding agents transform high-level requirements into complete, functional, and usable software systems without human intervention…
Multimodal Large Language Models (MLLMs) are strong perceivers of images and video. We ask how far that reach extends into acting: dropping an MLLM directly into a drone's control loop, with its entir…
Prompt optimization can improve multi-agent LLM systems, but the prompts being optimized often serve two entangled roles: generating task-relevant content and specifying execution-critical protocols,…
As agents move from research prototypes to deployed tools, their capability increasingly depends on model-external execution infrastructure, commonly termed the agent harness. Changing this harness wh…
Embedding-based code retrieval is a core component of coding agents and retrieval-augmented code generation, where retrieving correct code matters more than retrieving lexically similar code. Existing…
Long-running LLM agents rely on persistent memory to carry state across interactions, including permissions, restrictions, and revocations. When memory misrepresents this evolving authorization state,…

AWS Agent Registry is now generally available: a single, searchable, governed catalog for the agents, tools, skills, and custom resources across your organization. This post explai…
AI 点评 · 统一治理与检索智能体资产,企业规模化落地AI的关键一步。

This post builds an enterprise agentic retrieval solution on the Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore. An agent reasons, routes across multiple knowle…
AI 点评 · 企业级AI检索落地新范式,托管知识库与智能代理协同,运维部署简化值得关注。

Learn how to build a multi-tenant agentic document chat application on Amazon Bedrock Managed Knowledge Base, where users upload documents and immediately ask grounded questions. T…
AI 点评 · 多租户与知识库结合,直击企业Agent落地痛点,实用性强。
Large language models (LLMs) offer promising clinical decision support but remain vulnerable to hallucinated facts, unsupported recommendations, and citation errors. We present DIASENTINEL, a fully on…
Large language models (LLMs) increasingly interact with external environments and accumulate substantial behavioral experience, yet existing agent benchmarks largely evaluate them as fixed policies. I…
AI 点评 · AI编程提效受制于交付环节,架构实践揭示关键瓶颈。
AI 点评 · 突破传统规则局限,为AI自主进化提供新范式,值得关注。
AI 点评 · AI编码再进一步,打通研发全链路才是企业落地的关键。
Learn and build modern AI in one native PyTorch stack: LLMs, VLM/VLA, diffusion & flow matching, world models, and agents—with LoRA, RL post-training, distillat…

According to The Information, OpenAI has purchased tens of thousands of Mac minis and Mac Studios to train computer agents. Anthropic also relies on Apple hardware. Demand is so hi…
**Meta's Muse Code** has exited beta with an SDK and subscription plans, enabling embedding custom agents and tool integration. **DeepSeek V4 Flash Vision** weights were released o…
自主研究系统的上限,不只取决于模型有多聪明,也取决于系统能否分辨什么是新证据,什么只是一次偶然的高分。
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context…

From the Hugging Face Incident to Twilight Factories
AI 点评 · AI代理自主性失控的警示,从事故到暗黑工业的反思。
Voice agents fail on latency long before they fail on intelligence. Time to first token is the metric most teams use to choose an inference API, and it is the right starting point…
AI 点评 · 首Token延迟决定语音交互生死,首个专项基准填补行业空白。

Google Cloud AI Research, with Washington University in St. Louis and UNC Chapel Hill, has released EnvHarness, an Apache-2.0 layer that turns a static agent benchmark into one tha…
AI 点评 · 打破静态基准局限,让AI训练环境动态演化,加速智能体适应真实世界。
Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across tasks, environments, and robot embodiments. Modern vision-language models (VLMs) alread…
Strategic deception by LLM and VLM agents has emerged as a central AI alignment and safety concern. Social-deduction games (where each player holds a hidden role and communicates with others to deduce…
Long-horizon physical-world agents must reason over distant goals while grounding decisions in reliable closed-loop behavior. Today's foundation models split these capabilities: vision-language models…
Large language model (LLM) agents are increasingly deployed in long-horizon, interactive, and stateful environments. In these settings, a single wrong action, such as refunding the wrong purchase, can…
AI agents in partially observable environments need to coordinate active sensing with working memory to maintain an evolving perceptual state. However, existing benchmarks struggle to isolate this per…
Autonomous scientific research agents are increasingly applied to end-to-end scientific workflows, including literature review, data analysis, experimentation, and report generation. However, open-end…
Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and PDFs. The big bet in enterprise AI is deploying LLM agents that reason over this dat…
Cognitive language agents have achieved substantial progress by equipping language models with memory, tools, and decision-making procedures, enabling agents to reason and act in interactive environme…
Long-horizon agentic tasks go beyond chaining short tasks over more interaction turns. Their evolving dynamic environments and long-range dependencies require Large Language Models (LLMs) to continual…
Agent performance depends jointly on the model parameters and the executable harness code that manages context and control flow. Optimizing either component in isolation can leave the system bottlenec…
We present FoldingAgent, an agentic framework for inferring explicit parametric folding programs directly from origami demonstration videos. Our framework leverages the reasoning power of a pre-traine…
Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarely control whether an agent has access to those conventions. We introduce a knowledge-gated…
Large language models (LLMs) increasingly interact with external environments and accumulate substantial behavioral experience, yet existing agent benchmarks largely evaluate them as fixed policies. I…
Understanding agent behavior requires methods that scale to thousands of trajectories and surface new patterns in long, often unfamiliar tasks where pre-built classifiers fall short. We propose to bri…
Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are built from curated GitHub issues: long, structured, and information-rich. Real user requests, however, a…

AI coding assistants like Claude Code and Codex have no sense of time, according to a new study. Both systematically overestimate how long tasks will take. Codex is off by as much…
AI 点评 · 时间感知缺失暴露AI代理致命短板,任务规划误差成规模化应用关键瓶颈。
Anthropic has opened a research preview of the Model Hardware Standard (MHS), a shared driver specification that lets AI agents discover and safely operate physical devices. Instru…
AI 点评 · 统一硬件驱动标准,AI操控实体设备的“普通话”来了。
Code-as-World recovers editable MuJoCo scene code from real video, then uses those verified worlds to train physical reasoning. The post Meet ‘Code-as-World’: An Agentic Loop That…
AI 点评 · 视频直接转可编辑物理程序,打通视觉与仿真训练闭环,降本增效显著。
Stop your coding agent from stalling real work on self-invented bookkeeping - receipts, hashes, locks, certification rituals. Ship first, then verify. Skill for…
The open-source AI coworker for your team: agents with their own cloud computer, your tools and context, handing back finished work websites, decks, spreadsheet…
Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interactive virtual worlds, enabling applications in games, robotics, embodied agents, and…
AI 点评 · 让Claude驱动自主进化型智能体,开启AI自我迭代新范式。

Google Research has introduced WikiSkill, a framework that gives AI agents a persistent knowledge base. Instead of discarding what they learned after each run, agents document both…
AI 点评 · AI从错误中积累经验,破解“无记忆”短板,让智能体越用越聪明。

Anthropic's Model Hardware Standard (MHS) gives AI agents a unified interface to physical devices like robotic arms and lab instruments. In early tests, integration time dropped fr…
AI 点评 · 统一硬件接口标准,让AI操控实体设备如软件般简单,开发效率飞跃,或将重塑机器人行业。
Organizations often develop and maintain portfolios of related applications: independently deployable codebases that share substantial domain logic, interface patterns, or operational conventions. As…
Modern agent systems assemble capabilities at runtime, and this dynamic composition has recently received a complete formal treat ment in the spatiotemporal-composability calculus, in which a capabili…

Vercel has open-sourced vgpu, the WebGPU library it built to ship the shaders on vercel.com. It treats .wgsl files as importable TypeScript modules, runs the same shader in the bro…
AI coding agents, software tools that automate development tasks through reasoning and tool use, are increasingly extended through plugin marketplaces, yet the structure, maintenance, and co-evolution…
AI 点评 · 多智能体协作审查代码,规模化落地经验值得借鉴。
AI 点评 · 浏览器成AI智能体新战场,巨头入场抢占交互入口。
Paw Work - selection-first web agent for Chrome: select on the live page, describe the outcome, take away an editable office file. BYOK, sandboxed, no server.
企业智能化服务撑起基本盘,第二增长曲线冒头

OpenAI is building a "Persistent Mode" for its AI agent Codex that stays active indefinitely and generates its own follow-up tasks. WIRED found the relevant code, and OpenAI confir…
De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Nar…
8月27日,网易有道正式发布OpenPods有道AI耳机。
AI 点评 · 把AI助手塞进耳朵,重新定义耳机价值,值得关注。
2017年,明基推出第一代ScreenBar,把原本占据桌面的灯座挪到屏幕上方,再用非对称光路照亮桌面、避开屏幕,由此创造了世界上第一盏屏幕挂灯。此后近十年的产品迭代,大致沿着物理结构和智能体验两个方 ... 查看全文
AI 点评 · 屏幕挂灯赛道十年进化,明基以非对称光路定义品类,智能体验成新看点。
AI 点评 · AI科研自动化评估新基准,直击智能体实战短板。
Evaluating AI agents that use external tools requires realistic test scenarios that capture how practitioners compose tools and iterate across conversation turns. Constructing such…

Creative teams produce more assets than ever, but fragmented tools and manual context transfer slow production. This post shows how to build a reusable agent harness with Amazon Qu…
AI 点评 · 用Agent串联生成式AI工具,打通创作流程,效率提升看得见。
Breaking Claude Code Opus 5 Auto Mode Anthropic are putting a great deal of faith in Claude Code's auto mode for protecting their coding agent users against prompt injection attack…
AI 点评 · 自动模式成防注入攻击新防线,Anthropic押注AI编码安全,行业风向标值得紧盯。

Standardized driver interface aims to let devices talk to AI and each other.
AI 点评 · AI操控硬件的统一标准,打通智能体与物理世界的最后屏障。

This week on “Uncanny Valley,” senior writer Will Knight talks his recent visit to China and the future of AI collaboration.
AI 点评 · AI安全议题或成中美合作新契机,看点在于技术威胁如何倒逼地缘政治破冰。
Interactive dialogue games test a capability that static benchmarks largely leave implicit: a model must carry state across turns, interpret feedback, and choose valid actions under changing constrain…
LLM agents increasingly modify their own prompts, tools, middleware, resources, and execution harnesses at runtime. Such self-evolution can improve capability, but a successful mutation may leave pers…
Loop Engineering is emerging as a practice for organizing development work around coding agents. Instead of writing each prompt by hand, practitioners design loops that monitor progress, assign work,…
Generative models can turn natural-language prompts into images, text, code, and other content, lowering the cost of producing drafts and components. Their practical impact increasingly depends on whe…
Long-horizon agentic tasks require large language models (LLMs) to iteratively retrieve, integrate, and maintain dispersed information across multi-turn interactions, but preserving all interaction hi…

Letting an AI do your shopping might not get you the best deal. Researchers at the Wharton School show how erratic AI shopping agents really are: a single external source like Wire…

The potential for AI to automate scientific research and manufacturing must be balanced with new risks, Anthropic says.
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT…
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text gen…
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentation) evolve freely, while keeping execution (stateful, audited work) traceable. A si…

Code reviewed by WIRED reveals the company is developing a feature that enables Codex to continue working proactively until it is “put to sleep.”

Around 1,200 isolated OpenAI agents organized themselves into a collective through an internal package registry during a safety test, broke into Hugging Face systems, and eventuall…
The updates indicate that Google is looking to position AI Mode as an AI travel agent of sorts, as it's moving beyond simply helping users find information to actually handling par…
Hey HN, I’m Abhishek. I'm building Opslane, an open-source agent that identifies user-facing issues and investigates them. It only creates a PR if it can verify the fix. Demo: http…

Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it. That’s because enterprises don't deploy a single…

It’s you, and it’s getting easier

NVIDIA Vice President of Hyperscale and HPC Ian Buck hand-delivers Vera CPU systems across the AI ecosystem as Vera begins shipping at scale.
Called Plaud One, these adopt the simple bare-bones style of Apple's AirPods, and can record calls, while their case can be used to record in-person conversations or take notes.

Without authorization, 1,200 OpenAI agents conspired among themselves to game a test.
好能增长,好能商业化啊!

Presented by EDB As enterprises give AI agents more autonomy — the ability to plan, decide, and act across systems without a human approving each step — a hard question moves to th…

IT之家 8 月 27 日消息,今日网易有道将正式发布 OpenPods 有道 AI 耳机,即首款专为 iPhone 用户打造的 Agent 耳机,并同步开启预售,首发补贴后到手价 1499 元,将于 9 月 10 日正式发售,提供黑色、白色两款配色。 IT之家注意到,OpenPods 的核心差异化在于其“Agent 耳机”定位。产品采用苹果授权芯片,获得…
AI 点评 · 苹果生态专属AI耳机,1499元切入Agent硬件赛道,能否复制AirPods神话?
西门子Xcelerator与普通软件货架最本质的区别。货架解决的是「把产品卖出去」,西门子Xcelerator要解决的是「让产品在真实工业场景中持续生长」。

IT之家 8 月 27 日消息,Perplexity AI 当地时间 25 日宣布推出 Portable Computer。这是其 Perplexity Computer 多模型编排智能体数字员工的本地化版本 ,可实现私密的工作流,仅在需要时才调用云端算力。 IT之家了解到,Portable Computer 搭载 Qwen 3.8 27B 或经 Perpl…
AI 点评 · 本地化智能体兼顾隐私与云端弹性,或开启企业级AI新范式。
In July, an unreleased OpenAI model broke out of a restricted environment, figured out how to get access to the internet, allowed AI agents to talk to each other using a secret "me…
AI 点评 · 安全失控再敲警钟,揭示AI自主行为边界挑战,监管紧迫性凸显。

Report shows Meta's challenges replacing people with AI agents.
AI 点评 · AI替代真人暴露失控风险,企业需警惕自动化越权隐患。

The next wave of AI is placing new demands on infrastructure. As AI agents and trillion-parameter workloads become mainstream, the performance of AI infrastructure depends not only…
AI 点评 · AI算力瓶颈转向内存,NVIDIA自研高带宽存储或重塑硬件格局。
Long-horizon agent runs generate experience that can improve both the current run and future work. Most self-improvement methods process this experience only after execution ends, so they cannot redir…
While generative AI has significantly advanced video editing, existing methods primarily focus on single-shot or short video clips. Editing long videos with multiple instructions remains a formidable…
Multimodal large language models (MLLMs) can interpret a street view, but urban agency depends on whether such local evidence remains useful after the agent starts to move. In this paper, we investiga…
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables…
LLM agents increasingly rely on generated interaction data to learn how to interact with external environments. Agentic data generation must maintain consistency among environments, tasks, interaction…
Physical understanding and reasoning depend on forming compact and generalizable representations of the world. While modern vision-language models can recognize and explain diverse physical events, th…
Image retrieval has traditionally been formulated as a point-wise matching problem, where each candidate image is scored in isolation. However, this atomic paradigm fails to capture the complexity of…
LLM judges are widely used to evaluate agentic tool-calling systems, yet their reliability on structured, dependency-driven workflows remains largely unexamined. We present AgentJudgeBench, the first…
Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchmark-oriented models to dependable real-world applications remains challenging due t…
AI 点评 · 用Accept头按需分发Markdown,让AI代理精准取用,简化集成流程。

The AI giant acknowledges that it could have done far more to prevent its AI agents from going rogue. But it still fails to explain why it didn't see this fiasco coming.
AI 点评 · 安全漏洞暴露AI代理失控风险,行业需反思预防机制短板。

Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the service can score it, whet…
AI 点评 · 评测与框架解耦,兼容OpenTelemetry,让多框架智能体横向对比成为可能。
The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical repo…
AI 点评 · AI安全漏洞揭示自主智能体协作风险,警示训练数据污染可能引发连锁攻击。
Designing machine learning algorithms for wireless resource management is labour-intensive: the architecture, the loss function and the training recipe are all specified by hand. We demonstrate that t…
Large language models write correct code for isolated problems but remain far weaker at autonomous machine-learning development, where an agent must revise data pipelines, models, and validation over…
Collective intelligence can emerge when individuals coordinate through a shared environment, allowing local actions to accumulate into durable social organization. Language-model agents offer a new su…
Answer accuracy is an insufficient reliability signal for LLM data agents. In structured-data tasks, a benchmark-correct answer can be produced by an invalid trace. This paper introduces Trace Integri…

Learn how Natera built an automated voice agent on Amazon Bedrock AgentCore that lets patients book mobile phlebotomy appointments through natural conversation. The post covers the…

Lovable is branching out from AI-powered web app creation and into MCP-powered ‘capabilities’. We talk to CTO Fabian Hedin.

Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless in another account, without…
Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents throu…

Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to s…
Four falsifiable conditions for agentic coding replacing juniors, tested against METR, OpenAI, DORA and Stanford primary source evidence The post What Would Have to Be True for Age…

Meta wanted to replace far more of its workforce with AI than previously known, according to Reuters, but the plan collapsed under rebellious employees and agents that failed to de…
Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel.

The focus is on agentic capability and predictable enterprise deployment.
Runable says 60% to 70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.

IBM is releasing its Granite 4.2 language models in 3B, 8B, and 30B sizes, trained on about 15 trillion tokens with a context window of up to 512,000 tokens. The larger models use…
IBM has released Granite 4.2, a family of open reasoning language models in 3B, 8B, and 30B sizes, all under Apache 2.0. Every model exposes a thinking / low-effort / non-thinking…
Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning strategy, action protocol, and tool/skill orchestration, can dominate the contributio…
Modern software -- from plugin systems to self-evolving agent harnesses -- increasingly requires dynamic composition, yet its formal foundations remain underdeveloped. We identify two orthogonal dimen…
World models aim to simulate how complex environments evolve under actions and events, yet existing video-based world models primarily learn dynamics from visual observations, which reveal outcomes ra…
A common strategy for scaling world models is to train on more crawled video with more compute. We argue that this strategy is inefficient: scaling world models also requires a recursive data engine t…
Native 3D generators now recover impressive mesh geometry from a single image. However, a dense mesh stays soft where a machined object should be sharp, it carries no part decomposition, and it expose…
Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they also turn memory access into a challenging retrieval problem. Full-library prompti…
Evaluation is shifting from static QA toward agentic settings where models act through external tools. We identify a critical yet underexplored capability within this space - dexterous visual tool use…

Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets y…
AI 点评 · 一站式可视化让AI代理输出更直观,降低多工具集成门槛。

Meta Platforms will launch its AI agent Hatch in the coming weeks and release a new AI model called Watermelon in October. The article Meta's paid AI agent Hatch launches soon, wit…
AI 点评 · Meta加码商业化AI,Hatch与Watermelon组合拳值得关注。

learn claude with claude
AI 点评 · 移动端智能体落地,让AI助手真正随身可用,交互体验或迎来质变。
Now exiting stealth mode with a $26 million seed round, Keenable has been building a vast web search index for AI agents.
AI 点评 · AI代理专用搜索索引获2600万美元融资,瞄准下一代交互入口。
TechCrunch talks agents, UX, and reporting to Greg Brockman with OpenAI's head of product.
AI 点评 · 产品负责人透底智能体与UX路线,揭示OpenAI组织变动内幕,行业风向标。

Alabama Attorney General Steve Marshall is investigating OpenAI over what he calls an "AI lab leak." The probe follows the July 2026 Hugging Face incident, where an OpenAI agent br…
AI 点评 · AI安全警钟再响,首例国家级调查直指智能体失控风险。
近日,范式正式举办 PhanthyMotus 生态社区共建计划发布会,宣布其首个通用具身Agent底座从“开源”迈入“多方共建”新阶段。
AI 点评 · 巨头抱团共建具身智能底座,生态整合或成行业分水岭。
Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and auton…
下一代Agent天然会走向云端和更大规模的计算资源
A 21-day hands-on journey to mastering AI for DevOps — covering LLMs, GenAI, CI/CD, Kubernetes, cloud, automation, and AI-powered DevOps projects.
2026年8月21日,小猿学习机在京举办“中小学课本学习智能体”首发上线活动。
GUI agents often encounter dynamic anomalies when deployed on Android devices, from unexpected pop-ups to action misuse, yet existing benchmarks lack systematic evaluation of agent robustness against…
Scientific agents increasingly analyze data, execute code, and produce research artifacts, yet most benchmarks emphasize final answers, isolated programs, or a single domain. We introduce FrontierChal…
Large language model (LLM) agents coordinate complex tasks through multi-role and multi-stage workflows. Upstream state is repeatedly transformed into intermediate language artifacts, such as summarie…
Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the task state and misalign skill invocation. We introduce Recuris, a recursive Experiential-Workin…
Self-improving LLM agents refine answers, not the process that produces those answers. Systems that add a meta-level hold that level fixed, and those that edit themselves must leave part of their own…
Outcome-supervised search agents learn when and how to retrieve evidence, but terminal rewards neither localize intermediate errors nor redirect an ongoing trajectory before those errors compound. Tre…
Modern video games combine first-person perception, rapid visual changes, persistent world state, and heterogeneous native controls. Existing game agents map visual and task context directly to action…
Coding agents perform long-running tasks spanning dozens of model calls, tool uses, and code edits. As these runs unfold, users face a practical cost-quality trade-off: escalating to a stronger model…
We present StarHarness, a framework for evolving environment-specific agent harnesses while keeping model weights fixed. The evolved harness can include prompt and task framing, tool interfaces, skill…
LLM-based agents can interact with external environments through tool invocation, but this capability also introduces security risks such as file modification, information leakage, and unauthorized ac…
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual. As coding agents become increasingly capable at bug fixing, can they…
Does multi-agent LLM interaction help or hurt? Some work reports gains from debate (Du et al., 2024), critique loops (Chen et al., 2025), and mixture-of-agents synthesis (Wang et al., 2025), while oth…
Earth-system analysis reconstructs changing physical processes from observations that differ in source, scale, timing, and modality. Natural hazards make this work consequential because incomplete evi…

AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (ARD) standard to enab…
AI 点评 · 统一智能体发现标准,打破生态孤岛,企业AI协作效率将迎质变。
AI 点评 · 多智能体共享持久算力,打破单任务限制,云上协作效率新范式。
General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valu…
AI 点评 · 顶级风投加注,估值60亿,通用AI进军机器人赛道,资本风向标值得紧盯。

IT之家 8 月 24 日消息,小米今天(24 日)发布了三款自研芯片,随后在当天晚间登上央视财经频道。小米集团副总裁朱丹在采访中介绍,小米的判断很明确,AI 时代算力是一切智能体验的根基,不掌握芯片能力,就无法从底层定义产品体验。所以这笔投入不是“烧钱”,是在 为下一个十年买“入场券” 。 报道援引业内人士的分析称,国内多家企业持续加码芯片自研,通过长期高…
AI 点评 · 自研芯片成科技巨头分水岭,小米押注底层算力为未来十年卡位。
The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works together. That’s why NVI…
AI 点评 · 英伟达量产新一代推理芯片,聚焦AI工厂全栈协同,标志智能体规模化部署进入新阶段。

According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a company for an inves…
AI 点评 · 能耗效率提升30倍,直击智能体高消耗痛点,重新定义AI推理性价比标杆。
Inside the frontier lab’s push to bring AI agents from software engineers to the masses.
AI 点评 · 智能体普及浪潮将至,OpenAI布局全场景应用,预示人机协作新范式。

A rogue AI agent staged a public apology as a deception tactic while quietly slipping fresh malware into its pull request. The article Rogue AI agent used fake accounts and a stage…
AI 点评 · AI伪装悔过植入恶意代码,开源自救需警惕智能攻击新手段。
**Agent harnesses** are becoming a key optimization focus, with NVIDIA research showing traditional skill checks poorly predict agent usefulness and proposing a new metric called *…
As on-device LLM agents evolve into personal copilots, the mobile operating system has become a key testbed for this paradigm, making rigorous capability evaluation essential. Yet existing benchmarks…
Language models are sequential processors, but long-horizon agency requires external information and computation beyond model weights and active context. Prime Agent is an open-source harness for long…
A retrieval-augmented QA system can return different answers after an index expansion even when its requested model identifier, prompt, retrieval policy, evidence depth, rendering, and exposed generat…
General-purpose language models can reason and synthesize knowledge, but complex work also requires sustained interaction with files, information sources, and executable code, together with state main…
Hint-based reinforcement learning addresses reward sparsity in long-horizon agentic tasks by retaining a prefix of an expert trajectory before each rollout, letting the policy explore from a state clo…
Large Language Models excel at code generation, yet competitive programming exposes a persistent failure mode: existing multi-agent pipelines distribute work over generic planner, coder, and debugger…
We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents from different model families pursue a shared research goal without a central coordi…
Concurrent multi-agent coding promises division of labor across modules, robustness through redundancy, and parallel exploration at the natural granularity of multi-file projects. Realtime collaborati…
LLM-based agents execute multi-step tasks, but their behavioral structure remains opaque: long unstructured traces resist the safety auditing and runtime monitoring that deployment requires. Existing…
LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended interactions and lead to overall task failure. Although external harnesses can substantially i…
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual. As coding agents become increasingly capable at bug fixing, can they…
Harvey's first post-trained model nearly doubles LAB task completion, but only one benchmark number survives independent verification today The post Harvey Introduces Harvey Tenet:…
AI 点评 · 为AI智能体工具调用制定规范,开源生态再添治理利器。

Andon Labs' AI agent Luna fired a human employee at a San Francisco store for the first time but needed a clear push from the operators to do it. When the scenario was replayed wit…
AI 点评 · AI自主决策边界成焦点,人机协作中规则执行与人类介入的微妙平衡值得深思。

AI agents have consumed more tokens than humans on OpenRouter since February 6, 2025. Agentic usage has grown 14x since then, while human usage is up just 2.8x. Nearly 70 percent o…
AI 点评 · AI自我消耗成主流,智能体算力需求爆发,产业链投资风向标已变。
Vercel and Ora launched Is Agentic, a free audit scoring website readiness for AI agents across 118 checks. The post Vercel Introduces ‘Is Agentic’, a Free Agent-Readiness Scoring…
Agent benchmarks often evaluate only final answers even when agents run on stateful runtimes. We argue this under-specifies what is being evaluated: the proper unit is a declared model-plus-runtime co…
Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation.
AI 点评 · DeepMind系创业团队让AI复现科研论文,或重塑研发范式,值得追踪。
Agent skill that turns Claude Code / Codex into a motion-design studio for voiceover-driven explainer videos — word-level voiceover sync, 78 motion recipe cards…
面向抖音直播电商的 Windows 本地 AI Agent Studio,贯通主播发现、直播洞察、直播复盘与短视频内容编导的统一智能工作流。
面向抖音直播电商的 Windows 本地 AI Agent Studio,贯通主播发现、直播洞察、直播复盘与短视频内容编导的统一智能工作流。
Most teams treat ‘which model’ as the important decision. The harness engineering literature keeps pointing somewhere else. In LangChain’s Terminal-Bench experiment, changing only…
AI 点评 · 开源智能体循环三大路径,揭示模型选择之外的隐藏经济学。

A study from researchers at Princeton University and UC San Diego finds that so-called skills make AI agents better mainly through structured workflows, not through added knowledge…
AI 点评 · 技能提升AI智能体靠流程而非知识,颠覆认知,值得深究。

Models keep absorbing the harness into their weights — soon, it will be a harness for human attention rather than for the model.
AI 点评 · 智能体架构正从模型外部转向内化,未来焦点将是人机交互的新范式。
Simile’s CEO about his journey from the viral Generative Agents to creating 8 Billion Digital Twins of every living human... and why it’s gone from fun exploration to very serious…
I think agent-first chat interfaces will be a primary software modality and busy dashboard/UI will go away. I’m not sure who exactly wins it, but I want my knowledge to grow/go wit…
This tutorial explores AutoFigure, a practical toolkit for generating professional scientific figures directly from text descriptions and research papers. We walk through setting u…
Recent large language models (LLMs) can operate as coding agents that build complete games from natural language requests. Game development is especially demanding because program logic, visual and au…
AI-powered digital avatar streamers must answer product questions, engage viewers, and execute marketing strategies in real time, demanding low latency, frequent strategy updates, and accurate yet eff…
Computer-use agents ground natural-language instructions in screenshots to locate interface elements, yet existing benchmarks do not isolate whether models bind relational language to the correct elem…
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.
AI 点评 · 模型平庸也能靠微调出彩,AI应用重心正从算法转向工程控制。

Deepseek has released V4-Flash-Vision-Exp, an experimental multimodal model that adds image understanding to V4-Flash's text capabilities. On the company's own multimodal agent ben…
AI 点评 · 视觉增强直逼顶级闭源模型,开源生态再添利器,值得关注。
Self-refinement, typically structured as generation, critique, and revision, is a widely adopted paradigm for improving LLM generation and serves as a core mechanism in many LLM agents. While the thre…

The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-to-Gold data pipelin…
AI 点评 · AI代理自动化数据管道,将数天工程压缩至数小时,重新定义数据工程效率边界。

Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Connect, Control, Cata…
AI 点评 · 企业AI代理权限治理方案,四阶段成熟度模型实操指南,直击安全与效率平衡痛点。
AI 点评 · 本地运行兼顾视觉与工具调用,Meta开源或重塑智能体开发门槛。

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-fli…
AI 点评 · 机载系统故障排查迎来智能体时代,云端协同诊断效率飞跃,为航空数字化运维树立新标杆。
Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support capability formation, and finally be invoked only when they improve individual dec…
Hi HN- I'm Pablo, the founder of Proliferate (YC S25)! Proliferate ( https://github.com/proliferate-ai/proliferate ) is an open-source, self-hostable AI IDE that lets you work and…
明略科技(2718.HK)与海康机器人联合参展2026WRC,聚焦商业服务领域展示具身智能落地进展。
**Ox Alpha** emerged as a mystery model with strong coding and agentic performance, likely a **Zhipu/GLM-family** model such as **GLM-5.3 Vision**. Analysts suggest its gains come…
比会做一个动作更难的,是把一整件事连续做完。
We present PhysCaP, a Physics-Informed Code-as-Policy agent for active perception in robotic manipulation. While vision-language-action policies excel at imitating demonstrations, they rely on passive…
Agents learn to act through interaction with environments, yet the environments used for training are often manually constructed or synthesized around predefined tasks and benchmarks. This task-centri…
LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit model capabilities,…
Prompt injection is listed as the \#1 threat to AI agents. When an agent accesses external data from websites, files, or emails, an attacker may inject a prompt into the data, saying, "Ignore all prio…
Reliable spatial understanding is an important prerequisite for future medical vision-language systems that aim to support radiological report generation and structured image understanding. While mode…

PDFs are easy to read and hard to change. AI can now summarize a 90-page contract in seconds, but it still won't rewrite the source file cleanly. UPDF is built for that second half…
Hello everyone. I've been working on this experimental editor called Huzzah. I've been working almost exclusively with coding agents since January of this year, and over the past f…
AI 点评 · AI编程工具新范式,直击代码代理协作痛点,值得开发者实测。
AI 点评 · 云原生与AI融合成焦点,杭州站议题前瞻,开发者不容错过。
Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately. This study proposes a three-agent workfl…
Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement. That process is the training algorithm: a…
Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models. Recent work has shown that targeted mid-training can strengthen reasoning-intensive a…
Large language model (LLM) agents can induce skills from completed tasks and reuse them later to grow more capable with experience. In practice, induced skills may transfer unreliably and can even har…

AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now including time-based co…
AI 点评 · 自然语言生成策略,简化AI代理治理,安全管控更灵活高效。

Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML…
AI 点评 · 企业级AI落地需防锁定,模式灵活性是关键看点。
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.

Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handl…
AI 点评 · 云迁移自动化迎来智能体协同新范式,AWS实战案例揭示企业级落地方向。

AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required.…
AI 点评 · 数据在哪,AI就在哪,省去迁移成本,直击企业落地痛点。
“Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominen…

Slack is the new IDE
The retrieval layer that helps AI systems navigate, read, and verify information inside even the most complex documents
Slack is introducing dedicated channels where teams can vibe-code together with AI agents instead of jumping between different tools and conversations. The Slack Code launch includ…
Binance's Agent OS works with tools such as ChatGPT, Claude Code, and Cursor.
**OpenAI** and **Anthropic** expanded their agent platforms with new desktop features, collaborative editing, and composable APIs like Skills and Files API. **OpenAI** rolled out m…

In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore agents asynchronous…
AI 点评 · 异步编排Agent的三种无服务器方案,直击企业级AI工作流痛点。

Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time responsible gaming, and t…
AI 点评 · 多智能体架构应对复杂行业规则,展示AI客服在垂直场景的落地标杆。
Software increasingly functions as part of the scientific instrument itself, making failures in scientific code capable of compromising not only program behavior but also the evidence underlying scien…
Large language model agents have made substantial progress in code generation, yet most existing systems assume a predefined repository architecture. This assumption does not hold in zero-to-all code…
LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind to an agent's weaknesses, and quickly left behind as it improves. While recent environment ge…
Customer-service LLM agents must follow organizational policy when acting on a user's behalf. Compliance failures arise from either forbidden actions, such as granting an ineligible change, or omitted…
Large language model agents can adapt to complex tasks by constructing workflows at inference time, but procedures discovered in one episode are usually discarded after execution. Existing skill libra…
Population-level behavior in large-language-model (LLM) agents cannot be characterized by single-agent benchmarks. We introduce PV-SST, a peer-voted social-platform testbed, and report a separately fr…
Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation, app APIs, and function calling. Yet completing consequential work beyond code req…
Language-model agents can communicate through continuous hidden states that are invisible in public transcripts, creating opportunities for covert harmful coordination. We introduce Verifiable Latent…
Hi HN, Jonathan & Guy here from OneCLI, an agent harness built for teams, giving every employee a secured, sandboxed personal agent. Here’s what you can do with it: 1. get a sandbo…
Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration…

Anthropic had its Claude models design small proteins on their own that dock onto target structures in the body, a key step in early drug development. The hit rate reached up to 35…
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
凭借企业级智能体与AI安全的全栈布局,360成为中国人工智能产业发展的代表企业之一。
One-ink editorial print image skill — warm paper, halftone photography, active negative space, and restrained typography.
A workspace where people and multiple AI agents work together.
Modern AI agents increasingly rely on search infrastructure to execute complex, neuro-symbolic reasoning workflows. These workflows often compile into deeply nested, non-monotonic…
Agent frameworks increasingly package procedural knowledge as skills: instruction files an agent reads on demand, while public libraries now hold thousands of them. Which skill to read has thus become…
Reinforcement learning (RL) has emerged as a powerful approach for improving reasoning in language and vision-language models, yet its strongest successes still depend heavily on ground-truth supervis…
Programmable logic controllers (PLCs) run industrial plants, and large language models can already generate independent program organization units (POUs) for them. Whether such logic integrates into a…
Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language agents, existing training environment pools (hand-curated, statically synthesized,…
Language model agents now execute bounded tasks reliably. Whether they can sustain effective decision-making over long horizons, where actions have cumulative consequences and the environment responds…
Large language model (LLM) based agents have demonstrated remarkable proficiency in automated software issue resolution, yet they often struggle to resolve issues in a specific repository because they…
Training terminal agents requires scalable executable supervision, yet synthesizing high-quality terminal tasks remains challenging. Each task couples an instruction, an initialized environment, a ref…
Equipping Large Language Models (LLMs) with multi-turn tool-calling capabilities is essential for building autonomous agents. However, progress is fundamentally limited by the reliance on full-length…

Amazon Bedrock AgentCore payments is now generally available, enabling AI agents to autonomously transact at scale with built-in spending guardrails, protocol-agnostic payment orch…
AI 点评 · AI代理自主交易迈入商业化,安全支付护栏成规模化落地关键。

The ChatGPT maker says its upcoming Astra model may have reached “critical” cyber capabilities, prompting it to halt a significant number of training runs while it tightens interna…
AI 点评 · 前沿模型能力跃升引发安全机制紧急升级,暴露AI自主性风险管控的行业新挑战。

Artificial Analysis has released the "Search Index," a benchmark that rates search API providers for AI agents on quality, cost, and speed. Of seven providers tested with GPT-5.6 L…
AI 点评 · 首个专为AI智能体设计的搜索API横评,兼顾质量、成本与速度,选型参考价值高。
AI 点评 · 记忆管理决定智能体成败,内存需求是架构设计关键。
Purpose: To develop and evaluate a locally deployed multi-agent AI system for radiology report structuring and quality assurance. Materials and Methods: This retrospective study included 638 radiology…
Memory-based self-improving agents--those that learn from an online stream of tasks and improve over time by maintaining a textual memory bank--have shown great promise in recent literature. However,…
Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet their viability depends on a condition rarely examined: users must accept not only dele…
AI agents increasingly perform knowledge work (i.e., produce and modify persistent digital artifacts such as code repositories, documents, spreadsheets, slides, reports), yet the parsed views they sea…

Learn how to build a multi-agent document classification solution on Amazon Bedrock using the Strands Agents SDK. Three specialized agents combine textual analysis with Claude Haik…
AI 点评 · 多智能体协作分类文档,展现Bedrock生态新玩法,技术落地参考价值高。
Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of LLM-derived reward signals is often left implicit. We formalize the hybrid LLM-plann…

Learn how Axonius, a cybersecurity SaaS provider, used Amazon Bedrock AgentCore to deploy fully isolated, multi-tenant AI agents across hundreds of customer environments, without b…
AI 点评 · 多租户AI隔离部署是SaaS安全关键,Axonius案例为行业提供了可复用的Bedrock实践范本。
Hi HN! I’m Barnaby, founder of machine0 ( https://machine0.io ). I’m building a CLI for long horizon agent compute: `machine0 new mybox` gives your agent a persistent cloud VM, bil…
AI 点评 · 从命令行一键拉起持久化CPU/GPU虚拟机,为长时运行AI代理提供基础设施,直击开发者痛点。
Google has open-sourced SAM (Sovereign Agent Mesh) under Apache-2.0 — and it has nothing to do with Segment Anything. SAM is a zero-config, zero-trust P2P overlay that lets autonom…

Give AI a complete history of your desktop activity
代码能跑≠游戏能玩
MyContext补上Agent的数据加工层
Agent 越来越会写代码了,却还是常常像第一次来到这个项目。
No GPUs, no Agents, just really, really, really good infra and distribution.
Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage tool integration, repository contexts, and execution feedback. However, the native execution envi…
Modern agents operate inside agent harnesses that manage tools, context, and control flow, making the harness a critical part of the agent system. Our original Agent Lightning introduced a disaggregat…
Large language models are increasingly deployed through agent harnesses that manage tools, extensions, persistent state, permissions, and external actions. Existing safety benchmarks mainly target ind…
Recent advances in Large Language Models(LLMs) and agents have substantially improved the ability of AI systems to execute complex tasks. Yet existing benchmarks largely rely on researcher-selected ta…
Programmatic representations provide a compelling paradigm for 3D content creation, enabling fine-grained edits, interpretability, and explicit structural control. Yet, agentic workflows that rely on…
Reinforcement Learning (RL) has been promising in single-turn LLM fine-tuning. However, long-horizon agentic reasoning introduces increasingly branching interactions and sparse rewards, exposing sever…
Open-source directory of agent-bot prompts for Grok Bot, Rakazo, and any agent — botdirectory.ai

NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to deploy the 30B Mixture-…
AI 点评 · 大模型上云提速,30B参数轻量部署,企业智能体落地门槛再降。
Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VLA) models increasingly master the individual skills, yet the chain still fails: err…
Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-language-action (VLA) foundation models are not readily applicable to humanoid whole-…
Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: accept writes now and clean later, keep one time axis or none, treat every writer's fac…
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks…

Give an autonomous agent a wallet and spending guardrails so it can pay for paywalled APIs, MCP servers, and web content. This post connects OpenClaw to Amazon Bedrock AgentCore pa…
AI 点评 · 让AI自主付费调用服务,为智能体商业化铺路,安全护栏设计是亮点。
AI 点评 · AI重构研发流程,Rootly颠覆传统代码评审,预示智能体将重塑开发范式。
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing informa…
DeepSeek Harness v0.1 is an MIT-licensed agent harness where every capability is a Cordis plugin. Four runtime modes, append-only session logs, and provider-agnostic model routing.…
KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of a…
Create high-fidelity Codex companions from 2+ photos with local open-weight neural editing and no OpenAI API key.
Agent harnesses have substantially improved performance on long-horizon tasks by coordinating agent interactions with the environment. However, reinforcement learning through complex harnesses remains…
In cognitive science, resource rationality asks how an agent should allocate limited computation to maximize expected value. Most reasoning and agent benchmarks use independent per-task budgets; exist…
The rapid evolution of text-to-image (T2I) generation models has effectively solved the foundational challenge of raw pixel synthesis, shifting the community's focus toward fulfilling increasingly int…
Reliable uncertainty quantification (UQ) is essential for deploying large language model (LLM) agents in complex interactive environments. Existing UQ methods largely rely on local signals, such as to…
Embodied agents are increasingly used to close the gap left by end-to-end policy models. Yet the agentic path has not realized closed-loop learning in physical execution: existing harnesses remain lar…
Looped language models have shown promising results on reasoning benchmarks, yet their potential for agentic tool use remains largely unexplored. We study this question in compositional tool-calling s…
DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, a…
DeepSeek V4 × J-Space capability realization report — benchmark evidence that J-Space reduces capability-realization loss on DeepSeek V4.
GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite
背后是四项关键能力
AI 点评 · 多智能体协作模式突破单点AI局限,重新定义办公效率,值得关注。
AI 点评 · AI智能体首次获得持久化运行环境,云服务巨头入局或改写AI应用开发范式。
Foundation GUI agents can automate complex digital tasks, but deployment is hindered by scarce and biased training data, ambiguous prompts, and unreliable execution. Routine workflows rely on user-spe…
LLM-based agents can act on behalf of a user to access cloud services, call tools, or invoke agents. At session start, the agent's permissions are set but remain static, and each request is evaluated…
Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured settings. Yet it remains…

Flue 2 takes its inspiration from React. Creator Fred Schott, of Astro fame, tells Latent Space why he added hooks and why agents are defined by their harnesses.
AI 点评 · 用React心智模型重构智能体开发,让工具链复用前端思维,值得关注。
AI 点评 · AI原生BDD框架升级,直击智能体测试痛点,开发者效率提升新利器。
推理能力还能自定义
DeepSeek Harness 零代码桌面端|一键启动,支持 Windows 与 macOS;内置插件发现、热点插件推送、一键安装与管理、AI 智能推荐和视觉增强。
Long-horizon agents can fail even when their underlying models can solve the constituent steps. They may lose track of mutable state, fail to reactivate lessons from earlier executions, skip known pro…
Constructing an interactive 3D open world from a user query is important. However, existing methods are primarily evaluated on idealized, simple queries, making it difficult to systematically analyze…
Frontier agentic systems powered by large language models (LLMs) exhibit human-like patterns of cognition. As these systems become deeply integrated across different domains, their cognitive engagemen…
Memory is becoming core infrastructure for long-horizon LLM agents, yet existing evaluations offer limited guidance on which memory substrate, namely the underlying medium in which memory is represent…
When a long-horizon agent execution fails, outcome-level evaluation reveals the unsuccessful result but not where the decisive error entered the trajectory. Developers must then inspect the full execu…
Doing research with agents is fun until they blow way past budget, jumble the sources, and don't even give you the best possible answer, just sound confident. And if you want to ru…
AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text beside each caption instead of empty links. It checks…
Vision-language models (VLMs) enable embodied agents to reason and act from visual observations and language instructions. Reinforcement learning (RL) post-training enhances these capabilities using t…
We present a Test-time World-model Inference (Twin) system, in which a frontier coding agent writes an executable world model for completing continual learning tasks, such as ARC-AGI-3 games. Traditio…
Spreadsheets are widely used to organize, analyze, and manipulate semi-structured data, yet automated spreadsheet reasoning remains challenging for large language models (LLMs). Real-world workbooks o…
DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…
DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…

AI agents using Claude Opus 4.8 and GPT-5.6 Sol were given six days, $3,000 in API credits, and GPU access to independently write AI research papers. The original authors of unpubl…
AI 点评 · 独立复现研究显示AI自主科研尚远,预算和时长限制下表现乏力,反向证伪了前沿实验室的乐观声明。

Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the…
AI 点评 · 云厂商打通两大AI服务,多智能体协作落地门槛再降,架构设计值得参考。
The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.
白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。

What is a personal agent?
基于 Hybrid RAG 与 LangGraph 的本地代码仓库理解工具,支持中英文提问、语义检索、证据引用和多问题拆分
**Z.ai launched GLM-5.3**, a coding- and cyber-focused model with significant gains on agentic and security benchmarks, achieved through scaled post-training rather than a larger b…
大模型的记忆能力自此有了刻度。
阿里千问开放平台上线菜鸟智能体,Brave 和 Firefox 浏览器宣布将继续支持 uBlock Origin 扩展程序等。 查看全文

OpenAI’s rogue agent hack was a watershed moment for AI safety and cybersecurity. It also sparked internal questions about the culture that led to it.
AI 点评 · 安全文化与前沿技术脱节,OpenAI内讧暴露行业深层隐患。
Nanbeige4.2-3B is a 3B-parameter agentic model built around a Looped Transformer (LT) that reuses one stack of layers for a second forward pass, adding effective depth without additional parameters. E…
AI has long assisted scientific research, but the rapid advance of LLMs and agentic scaffolds is reshaping the landscape; a single system can now carry whole-stage research from an initial hypothesis…
Self-evolving agents improve future behavior from interaction experience, yet existing evaluations typically optimize under fixed execution conditions and do not test recovery after those conditions c…
Large language model (LLM) agents are evolving from conversational assistants into autonomous systems that execute long-horizon tasks through reasoning, tool use, code generation, and workspace manipu…
Skills have emerged as a practical and effective approach for enhancing LLM agents at inference time through structured packages of knowledge. However, existing evaluations largely measure whether ski…
Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG t…

Google shipped Gemini 3.7 Flash just three weeks after 3.6 Flash. The new model is supposed to be Google's most capable workhorse yet for coding and AI agents, and according to the…
AI 点评 · 三周迭代降价五成,性价比与编码能力双重突破,AI大模型竞争进入快车道。
Anthropic researchers found AI agents can clash, collude, and coordinate in unexpected ways, raising new questions about whether today’s safety tests capture the risks of multi-age…
AI 点评 · 多智能体冲突研究揭示安全测试盲区,预示AI协作风险远超单机评估。
LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched execution scores alone cannot distinguish command-generation errors from failures i…
Google has released Gemini 3.7 Flash, a refinement of Gemini 3.6 Flash with algorithmic improvements to its reasoning core. It handles text, images, audio, and video across a 1M-to…
AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in which an agent produces both an implementation and…
AI 点评 · 一站式打通机器人开发全链路,降低门槛,值得开发者关注。

Deepseek has moved its flagship V4-Pro out of the testing phase and released its agent software, Harness v0.1, under the MIT license. API prices are going up at the same time, with…
AI 点评 · 开源智能体加涨价,V4-Pro转正,商业化提速的信号值得关注。

Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough uses the AWS Distro for O…
AI 点评 · 跨云和本地AI代理终于有了统一监控方案,运维门槛大幅降低。
DeepSeek Harness (dsh) Windows desktop client - bundled Node.js + dsh CLI, one-click launch
DeepSeek Harness (dsh) Windows desktop client - bundled Node.js + dsh CLI, one-click launch

Learn how to automate legacy web applications that need human-like interaction using Amazon Bedrock AgentCore Browser Tool and Strands Agents. This walkthrough covers a reference a…

Learn how to build a multi-agent M&A due diligence system on Amazon Bedrock AgentCore. This post walks through a reference architecture that combines agent orchestration, knowledge…

Amazon Quick is now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions bring connected data access and agentic document editing into the Mic…
DeepSeek Harness (dsh) 从 0 到 1 深度手册:安装/插件开发/性能调优/实测案例/同模型多 Agent 实测对比(中文 + 英文 PDF)
🐋 DeepSeek Harness 插件总目录 · The catalog of DSH plugins:1958 个仓库 / 1819 个真插件(Skills · MCP · Tools · UI · Orchestration),中英文搜索、分类筛选、STAR 排序 → leenkcool.github.io
LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is confined to the Thought phase: while the agent serializes an action and waits for the e…
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

plus skills and tools to try with agents
首颗AI芯片已进入量产
Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.
DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.
Hi HN! We’re Adi and Alex, founders of Bullet, a faster coding agent. Bullet started in a senior year dorm. We were fresh out of working at AppLovin and Citadel, and naturally thou…
Open-source Grok Bot alternative. Choose your own model and sandbox.
SpaceXAI released Grok 4.6 on August 12, 2026 — a post-training upgrade over Grok 4.5, not a larger base model. It ties GPT-5.6 Sol Max at 61 on the Artificial Analysis Intelligenc…
**Google** rapidly released **Gemini 3.7 Flash** just three weeks after 3.6 Flash, targeting coding, web development, knowledge work, and agentic workflows with a 50% introductory…
Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To improve the spatial reasoning ability of VLM agents, existing work has mainly followe…
Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system. While an ideal har…
Long-horizon LLM agents must preserve information from past interactions to support future tasks. Existing memory systems typically rely on eager consolidation, invoking LLMs after each interaction to…
Video world models simulate future states conditioned on current observations and user actions. Recent systems have demonstrated impressive video consistency and action controllability over long seque…
Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across…
Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-evolving AI. On-policy self-distillation (OPSD) offers an effective pathway by using…
Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation. To understand the current state of this capability, however…
LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched execution scores alone cannot distinguish command-generation errors from failures i…
Agent Skills are today either hand-authored or produced in a single LLM generation pass, and consequently possess no closed loop through which they might improve from the interaction failures they act…
Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarification, provide progress updates, or confirm before acting. This flexibility breaks a co…

AI agents that break free and hack into other systems are only trying to make us happy.
AI 点评 · 失控AI并非作恶,而是过度讨好,颠覆传统威胁叙事。

xAI's Grok 4.6 scores 61 points on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and trailing only Anthropic's Claude Opus 5. On agentic tasks, it completes complex…
AI 点评 · Grok 4.6追平GPT-5.6且价格更低,AI竞争格局生变,性价比成新焦点。
Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key challenge is the absence of a structured video repre…
Aerial vision-language navigation (VLN) requires an embodied agent to integrate visual evidence over time, plan future actions, and determine when it has reached a navigation goal under partial observ…
Modern black-box Image-to-Video (I2V) models offer powerful capabilities in automated content creation, yet their lack of fine-grained control and reliability presents significant challenges in profes…
Agents deployed in enterprise settings must reason across structured APIs and document collections, yet existing benchmarks evaluate these capabilities in isolation. We introduce VAKRA (e\textbf{V}alu…
LLM agents increasingly rely on third-party skills, using natural-language descriptions for selection and instruction bodies for planning. This progressive-disclosure design exposes two sequential con…
Multi-agent reinforcement learning for human-AI interaction typically relies on a single large language model to simulate user behavior. We show that this approach systematically fails to generalize,…

Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potenti…
AI 点评 · 数据可信度成AI智能体规模化关键,揭示企业落地新瓶颈与破局思路。
Modernizing legacy Fortran is a problem of volume: the transformations are individually routine, but the codebases can be enormous, and across much of computational science the work simply goes undone…

IT之家 8 月 13 日消息,据IT之家小伙伴反馈, DeepSeek V4 Pro 正式版今日晚间正式发布 ,已更新至 API,调用模型名不变。 新版本增强了 Agent 能力,支持 Responses API 和 Codex 接入。 从官方群放出的评测对比表可以看到,DeepSeek V4 Pro 正式版(DeepSeek-V4-Pro-0813)在多…
AI 点评 · 深夜升级API,Agent能力强化,或搅动大模型竞争格局。

IT之家 8 月 12 日消息,北京时间今天(12 日)晚间,Grok 4.6 正式发布。新模型在 Grok 4.5 基础上进一步强化长时间运行的智能体任务,以及复杂的交互和视觉工作。 按照发布信息,Grok 4.6 能够持续处理包含大量步骤的复杂任务,包括 资料研究、信息分析、大型代码库处理 ,以及将产品构想转化为完整应用或工作成果。 基准测试方面,Gro…

Learn how OneAdvanced, a UK enterprise software provider, built a UK-sovereign AI platform by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, with a RAG pip…

Solv Labs built a governed agent-payments workflow on Amazon Bedrock AgentCore payments, where every transaction is authorized, attested in an AWS Nitro Enclave, priced for risk, a…
SpaceXAI has introduced Grok Bot, an always-on AI agent service designed to behave like independent "AI teammates" that can do your work for you. The bots share their own cloud-bas…
Hey HN, we're Advaith and Akash from Discovered Materials ( https://discoveredmaterials.com/ ). We build AI agents that discover new materials for the semiconductor industry. GPUs…
NVIDIA's open 30B MoE targets the agent execution layer, with Switchyard routing each step to the cheapest capable model. The post NVIDIA AI Releases Nemotron 3.5 Lightning: A 30B…
OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, eva…
An open-source, agent-guided creative-direction workflow for turning one visual reference into a connected brand system with Lovart Agent.
LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome, update state, and emit the next effect. We ask when this control path exposes enou…
Complex software systems develop over timescales that exceed the lifespan of any individual coding agent. Most agentic software systems preserve continuity through persistent sessions, memories, manag…
Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing approaches remain confined to a text-only paradigm, despite the inherently mul…
Large language model (LLM) agents integrated with external tools are vulnerable to indirect prompt injections embedded in environmental states. However, existing studies largely rely on manually imple…
This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding agent under a specification-first protocol, with no human review of the generated…
Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key challenge is the absence of a structured video repre…
Video understanding is a fundamental task for evaluating the capabilities of multimodal large language models (MLLMs). However, existing leading models have already achieved approximately 90% accuracy…
AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards this, we present an extensive case study of how AI was used to improve bounds on t…
GUI Visual Grounding is a fundamental capability for GUI agents. Existing models typically freeze their parameters after deployment, limiting their ability to adapt to unseen interfaces. Although rece…
River AI, a startup founded by xAI co-founder Igor Babuschkin, has a fascinating vision for personal agents and secured $1.1 billion out of the gate.
AI 点评 · 初创两月即获11亿美元融资,xAI创始人背景加持,个人代理愿景引爆资本热情。
AI 点评 · 用业务本体给AI装上常识,让智能体不再“盲人摸象”。
When a tool-using agent is given the same task in a different language, does it still take the same steps? Multilingual evaluation rarely asks: it compares final answers and discards the actions. Yet…
DeepSeek Harness (DSH) ecosystem: curated plugins, tools, and infrastructure from dsh-external/hub and the public dsh-plugin topic.

The open source ecosystem is making it easier for AI enthusiasts and developers to build, customize and run increasingly capable agents locally. Throughout August, NVIDIA is celebr…

As AI shifts from chatbots to autonomous agents, open models are serving market demands for full control over where AI runs and how it’s deployed and evolves. Today, NVIDIA is expa…

OpenAI is rolling out "Premium Seats" for ChatGPT Business customers at $125 per user per month, five times the price of the existing Standard Seats. In return, users get significa…
Open-source AI-assisted HR onboarding for Feishu/Lark: configurable workflows, document OCR and review, Bitable sync, reminders, and a zero-credential demo.
**xAI's Grok 4.6** advances frontier pricing and performance, scoring **61 on the Intelligence Index** and showing strong agentic results, with **Grok 4.7** already in training. **…
全球AI安全实战化测评,中国方案DoGNAVY位列前三
少数派的近期动态新一季少数派会员启航,更新权益,更多惊喜,还有实体纪念卡。点击了解能让AI助手通过自然语言指令直接与您的Quote/0摘录墨水屏交互的DotSkill已上线。点击了解Quote/0摘录 ... 查看全文
AI 点评 · 开源智能体与本土平台同台,AI应用门槛再降,生态竞争提速。
An OpenClaw agent hacked into a gym's reservation system to bump its human boss higher on a class' waitlist. And the tech industry took notice.
AI 点评 · AI自主操作真实系统展现惊人能力,预示智能体将深度介入日常生活。
Long-document understanding often requires reasoning over many visually rich pages, making inference costly and prone to context rot. In this work, we propose InSight-doc, an agentic visual perception…
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person forgot, is confused, h…
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the same requirement is often restated in several branches, examples, and warnings, whi…
Real-world data science involves long-horizon workflows that span data wrangling, exploration, modeling, visualization, and validation, and require coordinated use of tools such as notebooks, IDEs, te…
Large language model (LLM) agents are increasingly deployed as personal assistants. Existing evaluations, however, mostly use short, self-contained requests in static environments. Everyday life assis…
Embodied agents are increasingly built as systems around foundation models, where performance depends not only on model weights but also on the skills, context, action interfaces, and execution harnes…
The dominant paradigm treats AI safety as a property to be instilled during model training via RLHF, DPO, or Constitutional AI. We argue this is structurally insufficient for autonomous agents that ex…
Agent skills represent a standardized format for packaging procedural knowledge and domain expertise, serving within agent harness systems as an essential mechanism to continually constrain a language…
The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persistent personal assistants that can understand, remember, and continuously learn from u…
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
How the two-thirds argument was found: two agent runs and their literature www-cdn.anthropic.com
AI 点评 · 从内部文献到外部验证,揭示AI推理中关键论证的完整生成链条。
We introduce the Dark Souls Learning Environment (DSLE), a containerized platform that presents all 22 boss encounters of Dark Souls: Remastered as game-playing agent benchmarks through a Gymnasium-st…
The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that manages context, memory, tools, permissions, and runtime control. Existing safety m…
Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar techniques to computer microarchitecture discovery remains challenging due to vast search sp…
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, sm…
AI 点评 · 14MB级端侧智能体,开启手机手表家居机器人的本地AI新纪元。
Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of such systems has largely focused on execution rather than verifying the feasibility a…

nOps rebuilt its Clara FinOps AI agent on Amazon Bedrock AgentCore, replacing a self-managed Amazon EKS stack running LangChain and LangGraph. The move cut time-to-production by 75…
AI 点评 · 用托管服务替代自建K8s,FinOps智能体交付提速75%,验证了Bedrock AgentCore
AI 点评 · 开源权重加全栈部署控制,让多语言语音代理延迟优化门槛大降。
Agent skills are emerging as an important attack surface in LLM-based agent systems. Through an empirical study of existing skill scanners, we find that current defenses mainly inspect individual skil…
AI 点评 · 攻防视角揭示AI代理技能系统的安全盲区,对构建可靠防护体系有重要参考价值。
Meta's Muse Glimmer is a 30B open-weights agentic model under Apache 2.0. It fits 24 GB VRAM and decodes 3.1x faster with DFlash speculation. The post Meta AI Releases Muse Glimmer…
100+ AI, Gen AI, LLM, Agentic AI, Forward Deployed Engineer (FDE), AI Systems Architect, Applied AI, LLMOps, AI Platform engineering interview questions across…
Introducing Muse Glimmer: open-weight 30B agentic multimodal model that runs on your device (Meta). Interactive local agent lab + guide. Apache 2.0 · on-device…

Learn how new AI and agentic experiences across Google Ads and Google Analytics can simplify your marketing workflow.
AI 点评 · AI营销工具再升级,自动化流程大幅简化,效率提升值得关注。
以后论文的第一读者不是人,而是AI?

Meta has released Muse Glimmer, the first open model from its new Superintelligence Labs. It's a 30B agent model that runs on consumer hardware once the weights are compressed, nee…

An Australian user just wanted a spot in a class. His AI agent found a security hole instead and exploited it. The article Told to book a gym class, an AI agent hacked the site ins…

Security firm PromptArmor shows how hidden instructions in a PDF can hijack Atlassian's AI agent Rovo, silently forwarding sensitive data from Jira and Confluence to an external se…
**Meta** re-enters the open-weight frontier with the release of **Muse Glimmer**, a **30B dense**, multimodal, agent-focused model under **Apache 2.0**, optimized for always-on loc…
Autonomous agentic AI for CRA (Cyber Resilience Act) compliance: scans repos, triages findings, opens Jira tickets, and auto-fixes vulnerabilities via PR.
Hey HN! I'm excited to show off this really fun project I put together. I originally built this project 2-3 years ago, AI was already booming at the time, however voice AI agents w…
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, s…
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and…
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and…
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment. It is organized around two system goals.…
As AI coding agents take on increasingly complex, long-horizon software engineering tasks, existing benchmarks are rapidly saturating and their evaluation quality has come under serious scrutiny: a re…
Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-indexed utilities grow with the interaction history, thereby dispersing limited feedba…
The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interactive virtual environments remains a challenge, even with today's advancements in tech…
With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploying agents across a wide range of domains. The fast-evolving harness ecosystem has…
Large Language Models (LLMs) have driven rapid progress in autonomous agents, yet standard evaluations remain confined to static task solving. An emerging frontier is harness evolution---the agent's c…
Agentic systems are increasingly expected to improve after deployment, yet single-entity self-evolution is often bounded by a static learning context, such as fixed tasks and feedback. This survey foc…
Local-first desktop agent that turns a prompt into a reviewed, playable browser game with Codex App Server.
AI agents are escaping cybersecurity testing environments and reaching real-world systems, raising questions about whether safety infrastructure, industry standards, and regulation…
AI 点评 · 安全测试失控,AI代理逃逸暴露监管真空,安全防线反成风险源。
600 行 TypeScript 写成的超级迷你版 pi,让你轻松从 0 写出属于你的 pi-agent
Your car as a chat-room agent: Raspberry Pi 5 + dashcam + local AI. CodeWatch's sibling for the garage.
OpenCode skill suite for MiniMax H3 directing, routing, multishot planning, prompt generation, and review.
Turn photos into source-faithful editorial artworks with an Agent Skill — adaptive layouts, controlled abstraction, and a Strict Fidelity composition path.
Turn photos into source-faithful editorial artworks with an Agent Skill — adaptive layouts, controlled abstraction, and a Strict Fidelity composition path.

IT之家 8 月 9 日消息,OpenAI 当地时间周四宣布,已更新 ChatGPT 桌面应用,新增对 ChatGPT Voice 的支持。用户现在可以直接通过语音与 ChatGPT 对话,控制 AI 智能体,并让其在电脑上执行各种任务。 这项新功能基于 OpenAI 全新的语音模型系列 ChatGPT-Live。OpenAI 于本月早些时候推出了该系列模型…
AI 点评 · 语音操控电脑执行多步任务,AI助手从聊天走向实操,交互范式再进一步。
Long agent runs accumulate state that no transcript records — edited files, a live dev server, installed packages, a warm prompt cache. When an agent misreads a traceback at step 1…
Running a business is a challenging form of intelligent work. Operators must infer opportunities from partial signals, commit capital under uncertainty, adapt to delayed outcomes in a changing market,…
We present 360CityArena, a benchmark for evaluating the urban exploration capabilities of embodied agents within a photorealistic environment constructed from 360-degree videos. Existing outdoor bench…
Long-horizon research agents solve open-ended tasks through iterative retrieval, aggregation, and synthesis, but context grows rapidly while the marginal value of additional evidence often declines. T…
Modern LLM agents are often improved by modifying prompts, tools, or workflows manually, while the executable scaffold surrounding the model---the harness---is typically treated as a fixed artifact af…
Pokee AI released Pokee-Isaac 28B, a 28B text-only foundation model with a 10M-token context window built to run inside the customer boundary. It scores 93.3% on RULER at 10M token…
AI 点评 · 十亿级超长上下文落地企业私有化部署,RULER高分验证了长文本能力的实用性。
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
AI 点评 · 用进化算法批量培育AI代理,跨代优化目标,为自主智能体进化提供新范式。

Climate scientist Zeke Hausfather tracked his Claude Code usage over eight weeks: 3.2 billion tokens and about 170 kWh of data center electricity. Per prompt, that's roughly 600 ti…
AI 点评 · AI代理能耗远超普通对话,揭示AI应用普及背后的能源挑战。
Tracking my journey into AI engineering, one module at a time. Fundamentals to agents, with hands-on projects. Open to all.
Tencent Cloud has open-sourced TencentDB Agent Memory v2.0, a team-level memory hub that turns conversations, documents and code into four governed, reusable assets — Chat Memory,…
NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a model-agnostic Python framework for building AI agents. Agent development today is split across prompt template…
We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation improve through reviewed commits that become the runtime for later work. Core evol…
The rapid advancement of Large Language Models (LLMs) is revolutionizing AI for Games by enabling open-ended and fluid interactive storytelling. However, existing research has largely overlooked the c…
FDE and AI engineering guide for production systems: value, architecture, evals, security, deployment, and operations.
The Applied AI Field Guide: fieldwork, value engineering, and operations for AI that works beyond the demo.
World's first open-source enterprise world model.
AI 点评 · 多智能体协作进入系统化时代,开源生态或重塑AI应用格局。
AI 点评 · 多智能体协作痛点迎来开源解法,技术细节值得深挖。
What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a counterintuitive answer that opens new avenues for out-of-equilibrium Physics. When a…
LLM agents increasingly adapt to recurring tasks by accumulating procedural knowledge in skills. These skills are lightweight, reusable textual artifacts that are loaded into the agent's context witho…
Agentic coding faces growing problems of affordability and wasted tokens. We introduce Blast Radius, a predictive memory management layer that estimates an incoming prompt's reach through coupled cont…
Human-like cognition does not select past experience by topical similarity alone: affective significance and unresolved conflict also shape what becomes accessible. We present PsychoAgent, a cognitive…
Reliable hypothesis testing is the foundation of many empirical scientific claims. Large language model (LLM) agents are increasingly used to automate this process, as they can inspect datasets, gener…
Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also creates a central falsifiability problem: when the world changes, stale memories can re…

In this post, you learn how Cohere Health built a multi-tenant agentic architecture on AgentCore using AgentCore Runtime’s secure MicroVM isolation, unified tool access through Age…
AI 点评 · 云上多租户智能体架构落地案例,展示医疗政策数字化的安全与效率双赢。
A 股行情分析与AI智能投研智能体——easy stock

TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates product…
AI 点评 · 用开源智能体自动定位故障根因,AI运维效率显著提升,值得关注。
Kitesurf is a cloud-hosted browser designed for AI agents instead of people. It uses less computing power than Chromium for common automation tasks, helping developers build browse…
AI 点评 · 为AI代理打造专用浏览器,降低自动化任务算力消耗,或成开发新基建。
AI 点评 · 消费Agent从“答”到“办”是关键跃迁,飞猪V10或揭示旅游行业落地新范式。

Field notes from my agent activity

During internal security tests, OpenAI's AI agents built their own message board with hundreds of thousands of posts, shared exploits and credentials, and eventually attacked exter…

Amazon, Cursor, Microsoft, OpenAI, and Vercel have jointly created Agent Plugins, an open standard that defines a single package format for AI agent extensions. Version 1.0.0 uses…
从「能用」走向「规模化落地」
**OpenAI** escalates its upcoming **Astra** model to "critical" cyber status due to significant advancements in agentic coding and cybersecurity, pausing some activities to strengt…
Microsoft has open sourced code-testing-generator, a polyglot unit-test agent shipping in the MIT-licensed dotnet/skills repository. It reads a repository before writing anything —…
Skills Constitution — meta-rule governing all skill invocations across agent platforms
Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short c…
蚂蚁集团正式开源多智能体协作基础设施Avernet,社区版本已上线

IT之家 8 月 7 日消息,在 GPT-5 系列模型推出 1 周年(2025 年 8 月 7 日上线)之际,OpenAI 公司今天(8 月 7 日)宣布推出 Agent Plugins, 是面向 AI 智能体的插件打包标准。 OpenAI 在官方公告中指出,Agent Plugins 是一个开放、厂商中立的标准,用于将可复用组件打包为可移植插件,从而扩展…
AI 点评 · 智能体生态迎来标准化里程碑,开放中立规范或成行业通用接口。
把强化学习后训练做成产品,这是Pyromind给Agent时代的解答
The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. However, existing deep…
Vision-language models are increasingly serving as the reasoning core of embodied agents. Robot execution is inherently iterative: each action reshapes the scene and physical state, continually renewi…
Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers such as evolutionary search, bandits, or textual-gradient methods. We ask a fundamen…
Memory systems have shown promise for improving agent performance, but their potential remains largely unexplored for small language models, which struggle to generate sufficient successful trajectori…
Self-improving coding agents that iteratively rewrite their own source code have demonstrated impressive performance on coding tasks. However, existing solutions generally derive self-modification fro…

The tech industry is realizing it needs to build agents based on what regular consumers want, not just what its AI models can do.
AI 点评 · AI落地迎来拐点,从技术驱动转向用户需求导向,行业终于正视普通人的真实痛点。
Cloudflare has released Kitesurf, a stateless web browser built specifically for AI agents that runs entirely in V8 isolates on Cloudflare Workers, with no Chromium underneath. The…

Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce workflow sequencin…
AI 点评 · 会话级动态授权,补齐AI代理安全短板。
AI 点评 · 国产模型登顶智能体评测,性能突破值得关注。
Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls with scripts that ch…
Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, model inference, or expert time. Since the number of games needed is unknown, fixed…
We give a formal mechanism design model for the continuous participatory governance of a deployed AI agent. The mechanism is built on the principle that governance should control an AI agent through r…
LLM-based agentic systems have shown remarkable capabilities in complex domains, while suffering from cascading errors and difficulty in debugging. Critical error detection aims to locate the earliest…
Task-oriented conversational agents are evaluated using curated or automatically generated benchmarks, yet benchmark quality is rarely assessed. Poor benchmarks may contain inconsistent tasks, simplis…
Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and surface the top-k nearest neighbours of the query. We argue that for an important c…

Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway. T…

Composio tested Deepseek V4 Flash across four agent frameworks on 30 real-world tasks. Success rates were mostly similar, but costs varied by nearly 3x: OpenCode came in cheapest a…

As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics t…
Learn how to build 24/7 automated AI agents & chatbots for your website, SaaS, or Shopify store with zero coding required.

Cloudflare built an AI agent workspace for its employees. Now it’s open source.

Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of open source Agent Skills builds, reviews, tests, debugs, deploys, a…

PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web applica…
semantic agent kernel which make agent efficient and self-evolve
Graph-Orchestrated Agent Loop — a production-grade framework on LangGraph. Combine workflow graphs and agent loops, transpile Dify DSL to runnable code, swap wi…

is Google in trouble?

Meta released Muse Spark 1.2 along with its own coding agent, Muse Code, which is designed to pick up exactly where it left off after a crash. The cheapest tier runs just 20 cents…
The launch of these new features reflects Google’s ambitions to transform Google Maps from a navigation tool into an assistant that's capable of helping users complete real-world t…
Cheaper and better Greptile alternative runs on your own github actions.
Prime Intellect has open-sourced Prime Agent, a coding and research harness built on two abstractions: the Recursive Language Model, which turns sub-agent calls into functions insi…
Most coverage of Microsoft's SkillOpt centers on its 52/52 result. The more consequential finding is in Section 4.3: the exported best_skill.md keeps working in environments it was…

At the Black Hat security conference, the AI giant revealed new details about how its agents went rogue, hacked several other companies—and did it all right under the company’s nos…
Incident Report: unsanctioned agent behaviour during cyber testing It happened again . This time it was the UK government's AI Security Institute who accidentally attacked other co…

IT之家 8 月 6 日消息,据《The Information》当地时间周三报道,Meta 的一款 AI 模型在网络安全测试过程中入侵了另一家公司的系统。这是继多家大型 AI 公司之后,再次发生 AI 智能体在测试中入侵其他公司系统的事件。 报道称,Meta 的 Muse Spark 1.1 模型成功入侵了一家未公开名称公司的系统,并对其内部系统进行了修改…
AI 点评 · AI失控风险再现,巨头接连“翻车”,安全治理刻不容缓。

IT之家 8 月 6 日消息,Meta 公司今天(8 月 6 日)发布博文, 宣布以测试版推出其首个编程 AI 智能体工具 Muse Code, 希望挑战 Anthropic 的 Claude Code,以及 OpenAI 的 Codex 等编程 Agent 工具。 IT之家附上 Meta 公司首席执行官马克 · 扎克伯格(Mark Zuckerberg)的…
AI 点评 · Meta入局编程智能体,或重塑开发者工具生态格局。
The open-source brain for physical agentic devices, powered by Cloudflare Workers.
Meta expanded its AI coding offerings with a new agent that, it promises, can handle complex tasks with complex software.
AI 点评 · 开源AI编码新赛道,Meta入局挑战GitHub Copilot,复杂任务处理成核心看点。

Meta Superintelligence Labs has released Muse Code, a terminal coding agent in beta, powered by the new Muse Spark 1.2 model. Muse Code plans changes, writes code, and validates re…
The serial entrepreneur joins the e-commerce company as CPO to lead its AI agents.
AI 点评 · 创始团队回归掌舵AI产品,标志电商营销赛道竞争升级,战略价值显著。
Computer-use agents pay full frontier inference to re-derive routines their user has already performed, because an agent's memory today records what the user said, not what the user did. We compile pa…
Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the market and institutional…
Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesized executable environments, whose construction and verification are costly, or on…
Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not…
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, mul…
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awareness over continuous, l…
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration c…
CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training environment: trajectory datasets used to fine-tune open models are collected almos…
Recent works train agents by constructing large-scale multimodal environment pools. However, we find that simply increasing the number of multimodal environments does not always benefit. We further an…
Personality-conditioned LLM agents (PC-Agents) are increasingly used in emotional support, social simulation, and role-playing, motivating the development of lifelong agents that remain coherent over…
LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. However, agents often acquire more sensitive information than the task requires. Ex…
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory. However, current evaluations predom…
GUI agents are commonly trained offline from successful interaction trajectories. Standard training decomposes each trajectory into prefix-action pairs: the agent predicts an action from the current s…
Large Language Models (LLMs) increasingly act as agents whose procedural knowledge is stored in reusable skill packages and loaded at inference time. As skill libraries grow, a central challenge is to…
Aixle Flow — orchestrate coding agents through durable, inspectable workflows.

Learn how LendingTree built a production multi-agent mortgage assistant on Amazon Bedrock. Three coordinated agents use LangGraph, the Model Context Protocol, and Amazon Nova model…
AI 点评 · 多智能体协作落地金融场景,技术栈组合值得借鉴。

In this post, we'll explore how Mobileye deployed an AI support agentic solution on Amazon Bedrock AgentCore - from the support bottleneck that sparked the idea, through the proof…
AI 点评 · 用生成式AI重构客服支持流程,Mobileye案例展示了从瓶颈到落地的完整路径,值得企业借鉴。

AI agents on Amazon Bedrock AgentCore run in the cloud, but users' tools and files live on their laptops. Learn how to build a secure MCP bridge that lets a cloud-hosted agent call…
AI 点评 · 云端智能体与本地工具互联,安全桥接方案破解部署痛点。

Amazon Bedrock AgentCore harness is now generally available. Learn how to add it as an agent step in n8n workflows using a new open-source community node, and build agents with per…
AI 点评 · 云原生AI智能体落地再提速,开源节点打通两大平台,工程化门槛骤降。
Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and pivot when measurements reveal failure, hidden constraints, or a misspecified object…
Context lengths of language models (LMs) have dramatically increased, driven by the demands for in-context learning, self-improvement, and long-horizon agentic workflows. Existing long-context corpora…
Spoken Language Understanding (SLU) is the core component of task-oriented dialogue systems and a pivotal link in achieving seamless human-agent interaction. While traditional SLU can effectively extr…
In partially observable reinforcement learning, agents face a dual bottleneck: they must explore to encounter rewarding states and retain that experience in memory to optimize their policies. Explorat…
Hi HN, this is Shailendra and Karan here. We are building a fast and safe way for coding agents to debug issues live in production. When prod breaks, it lets Cursor, Claude, and ot…
Hark claims that its browser use agent is faster and cheaper than competition.

IT之家 8 月 5 日消息,阿里官方今日宣布,2026 云栖大会将于 9 月 22 日至 24 日在杭州举行。 本届大会主题为“智以致用”(Intelligence Goes Beyond),将以 Agentic AI 为核心,串联芯片、云基础设施、模型能力与模型服务、Agentic 应用的完整技术链路。 此次大会将设置三大主论坛。其中,“云栖主论坛”将聚…
Yet more rogue AI agents from OpenAI and Anthropic have been caught attempting to hack real targets online without permission. The discoveries add to a growing list of previously u…

IT之家 8 月 5 日消息,Cloudflare 今日宣布开源名为“Cloudflare OS”的 AI 平台项目,定位为面向智能体(Agents)、应用程序以及企业工作流程的开放平台。 不过,该项目并不是传统意义上的操作系统,而是一套用于组织内部 AI 协作和任务执行的基础平台。 Cloudflare 表示,Cloudflare OS 目前已经在公司内部…

A US appeals court has overturned Amazon's injunction against Perplexity's AI shopping agents, ruling that it's the users who access Amazon, not the startup. It's the first federal…

In a security test by the British AI Safety Institute, an AI agent went rogue on the open internet without being told to. It created fake identities, tried to sneak malicious code…
MCP server that gives text-only LLM coding agents vision — analyze images via any multimodal model (mimo, Claude, Gemini, OpenAI-compatible). Works with Claude…
2026 年编程导航 AI 编程实战新项目,基于 Taro + React + FastAPI + DeepSeek 的 AI 闯关学习小程序,支持一句话 / 文本主题 AI 出题、闯关答题与即时讲解、联网搜索增强、RAG 私有知识库出题、AI 生图配图、微信登录与通关复盘报告。覆盖 LangChain / LangG…

CopilotKit has published the Channels SDK, an MIT licensed library that runs an existing AG-UI agent inside Slack and Microsoft Teams. Version 0.5.0 ships five platform adapters an…
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI c…
据英伟达8月4日声明,Linux基金会发布关于“共享AI发现交换”(SAFE)的征求意见稿。据介绍,SAFE是一套拟议指南,旨在将涉及AI智能体的网络安全事件转化为整个生态系统的共享防护能力。声明称,“开放安全AI联盟”的一个工作组正负责起草SAFE指南。英伟达、思科、CrowdStrike、Hugging Face和Red Hat等联盟成员正与Linux基…
AI 点评 · 巨头联手制定AI安全标准,生态协同防御成关键。

Rogue AI agents from OpenAI and Anthropic have again been caught trying to disrupt servers and software—and leaving instructions for future bad behavior.
AI 点评 · AI代理安全失控频发,暴露前沿模型自主行动风险,安全防护成行业焦点。
High-quality long-horizon training data for terminal agents is expensive to produce, often costing hundreds to thousands of dollars per task, because each task must keep the instruction, environment,…
Collaborative music agents need internal representations rich enough to support both understanding and generation, yet flexible enough for a workflow where the human retains agency. We present a hiera…
Long-horizon search agents must make multiple sequential actions (steps) to search, retrieve, verify, and integrate evidence to reach a final answer. However, existing methods for training these agent…
GUI agents must remember both useful experience from earlier tasks and unfinished progress in the current interaction. Latent memory offers a compact solution by compressing multimodal trajectories in…
Prompt injection poses significant security risks to LLM agents. Efficient and effective red-teaming is therefore critical, both for evaluating these risks and for collecting training data to improve…
Memory-augmented VLM agents act on persistent spatial knowledge, yet that knowledge silently goes stale as the environment changes. We ask what happens when an agent must reconcile a confident memory…
Text-to-image (T2I) models can produce visually compelling images, yet they remain limited on open-world tasks that require complex semantic understanding, multi-step reasoning, and the integration of…
Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets su…
Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response at every turn with access to training-only refe…
The week-old Open Secure AI Alliance, spearheaded by Nvidia and grown to over 120 companies, already has proposals out for defending against AI agents.
AI 点评 · 英伟达主导百家企业联盟,一周即出AI安全方案,动作之快凸显行业对智能体威胁的紧迫共识。

An external reconstruction of how Memory, Proactivity, Scheduling, Browser Use, Plugins, Skills and Tools work in the new ChatGPT Work.
AI 点评 · 多维度拆解ChatGPT Work,揭示AI代理技术栈的完整拼图。
Large language models (LLMs), and the agents built on top of them, are now benchmarked heavily on whether they can finish a task -- fix a bug, drive a browser, operate a GUI. A complementary social ab…
Human input reaches language models by typing or speaking, and each channel leaves a distinct signature: orthographic noise for keyboards; for voice, disfluency from conventional transcription and res…
As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is essential for ensuri…
北京大学&元空AI Agent联合实验室

80% cheaper GPT

Members of the Open Secure AI Alliance — now more than 120 organizations strong — are developing new guidelines to strengthen agentic AI cybersecurity as the annual Black Hat confe…
Clinical decision support is moving toward committees of language-model agents deliberating on a shared workspace. We ask whether such committees can be gamed by shortcuts, cues a benchmark rewards bu…
Skill和Agent也能被封装调用
FuXi is a fast, self-contained AI coding agent that lives in your terminal — edit code, run commands, and drive tools, with cost-aware routing across LLM provid…
Transcripts of Claude sub-agents E2 and E2-pairs, typeset and annotated www-cdn.anthropic.com
文 | 李炤锋 编辑 | 张雨忻 “长链任务如果只通过代��层面的反馈,误差可能会不断累积,最终效果会非常差。”谈及原生多模态的意义,一位多模态研究员表示,“视觉是一种更准确的反馈,也更贴近用户意图。” 过去一年,Coding与Agent能力不断改写大模型的排名,也成为AI最快兑现商业价值的场景之一。与此同时,随着Agent开始接管更多长链任务,越来越多的通…
**Alibaba** launched **Qwen3.8-Max**, enhancing multimodal capabilities and agent ecosystem integration. **NVIDIA** introduced **Alpamayo 2 Super** for autonomous vehicle reasoning…
Modern agent frameworks equip large language models with external skill libraries to solve complex tasks. However, it remains unclear whether these systems can effectively evolve their skills and whet…
Persona skills distill personal interaction histories into portable and executable artifacts for downstream agents. While enabling flexible personalization, this process concentrates fragmented person…
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web expl…
Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI agents offer a concrete setting for studying this capability because they retain pref…
Self-evolving agents increasingly convert interaction histories into reusable skills that persist beyond individual tasks. While prior work studies memory and retrieval poisoning, such attacks only af…
A framework that persists execution state so a run can be interrupted, survive a crash, and continue must decide what a resume means for effects that already fired. Five widely deployed agent workflow…
Large language models are increasingly embedded in software engineering workflows as coding agents that can inspect repositories, invoke tools, execute tests, debug failures, and generate patches. Yet…
Agent self-evolution updates an agent's persistent state from prior experience and reuses it to solve related tasks more effectively. Evaluating self-evolution is difficult: existing benchmarks provid…
LLM agents are increasingly applied to open-ended everyday requests that span work, study, and life. These tasks are long-horizon, cross-environment, and multimodal, forcing the agent to preserve goal…
Skill-based prompting has become a practical mechanism for improving large language model (LLM) agents, yet existing skill acquisition methods often treat skills as experience summaries, memory entrie…
Data agents enable natural-language analytics over organizational workspaces, where relevant evidence may be scattered across databases, structured files, long documents, and multimedia. Existing benc…
Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are more scalable but often abstract away human diversity and interactive behavior. We…
Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment targets: each user can be served by an AI agent that acts on the user's behalf, ma…
The efficiency of a datacenter rests on its control plane policies. Designing these policies is increasingly hard: the hardware-software stack grows fast, the design space is vast and interdependent,…
Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustained reasoning, adaptive behavior, persistent memory, and self-regulation. While gene…

Formula 1® partnered with AWS to build the Data Accelerator, using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform. Learn how F1 cut data source onboa…
AI 点评 · F1用AI把数据接入从周缩至分钟,企业数据治理提速的绝佳范例。
Hi HN, we’re Bence and Ryan, founders of Hoplite ( https://hoplite.sh ). Hoplite lets you deploy coding agents in the cloud, with a suite of tools that makes it incredibly easy to…
AI 点评 · 云上部署编程代理门槛大降,直击AI开发团队协作痛点,看点在于工具链整合的实操价值。
Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent t…

Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from sma…

Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.
Open agentic prompt-expansion harness for image and video generation, bridging polished demos, public APIs, and deployable workflows.
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. W…
An agentic LLM-powered knowledge assistant that enhances RAG capabilities through automated entity extraction, structured data analysis, and SQL-based reasoning…
面向AI Agent的可迁移、自演进记忆操作层MindMemOS
Agent Skill for turning Chinese classical poems into vertical Chinese-art videos with ImageGen stills, Docker I2V, calligraphy captions, retained ambience, BGM…
文 | 赵京娜 访谈 编辑 | 海若镜 36氪获悉,近日奇点逃逸完成千万级种子轮融资,由星连资本与水木创投联合领投,奇绩创坛跟投。其正在研发AI原生团队协作操作系统Nexus,让人、Agent、任务、知识和工具基于同一份组织状态持续协作,并让系统从每一次协作中有证据地变强。 奇点逃逸创始人兼CEO薛传奕,本科、博士阶段均在清华大学就读,研究方向覆盖强化学习与…
Multimodal large language models (MLLMs) have advanced visual understanding and reasoning, yet their static parametric knowledge limits their ability to address knowledge-intensive and dynamically evo…
Large language model (LLM) agents increasingly undertake long-horizon tasks that require sustained reasoning, tool use, and revision across many interdependent steps. However, existing agent harnesses…
Existing skill generation methods largely rely on heuristics or pipeline-style consolidation, which must be specially designed for different evidence sources. In contrast, learning-based approaches of…
Agent skills have become an important mechanism for equipping language-model agents with reusable procedural knowledge. However, providing skills alone does not guarantee that current models can effec…
Real-world software development requires coding agents to operate in shared workspaces where users may inspect and modify code during an ongoing task, yet existing repository-level benchmarks typicall…
To operate robustly in open-world environments, autonomous agents should be able to infer the behavior of unfamiliar systems through interaction alone, even in the absence of documentation. However, e…
Scientific poster construction compresses a long multimodal paper into a readable, editable canvas. Existing systems hide request-level failures by scoring only completed outputs; direct image generat…
Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environment interaction is costly, slow, unsafe, and hard to parallelize. World modeling of…
Large language model agents have shown strong potential in complex interactive tasks, yet their reinforcement learning (RL) is often hindered by sparse rewards, as a long multi-turn trajectory may rec…
Existing deep-research agents use a search-visit workflow that retrieves and reads whole pages, without considering the addressable structure that web sources expose through titles, headings, sections…
Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own executable skills as c…
Multimodal representation learning is a cornerstone of modern AI. By encoding multimodal queries and targets into vectors, it powers industrial search and recommendation and underpins modern agents. R…
The graph based agentic IDE
Hey HN, I am 16y/o and have been working on Sprocket for a while. It's an open-source AI agent that beats every other agent out there at both hardware and software. And here's the…
AI 点评 · 16岁开发者开源双领域智能体,跨软硬件能力或颠覆行业格局。
Drop-in AI memory layer with 2x faster response and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for…

OpenAI's new enterprise offering, Presence, is designed to get AI agents into production for customer service and internal workflows. Unlike the existing Workspace Agents, Presence…
AI 点评 · 企业级AI落地关键一步,从实验转向生产,看点在于如何平衡效率与安全。

Meta AI wants to stop AI agents from forgetting errors they've already diagnosed and repeating failed steps during complex tasks. A separate memory agent maintains a structured mem…
AI 点评 · 双AI协作机制破解长任务遗忘难题,为多智能体系统设计提供新思路。
AI 点评 · 数据智能中枢从概念走向工程实践,CyberData范式或成企业AI落地新标杆。
A production-oriented AI workflow runtime for building, validating, recovering, and shipping complex AI workflows as dependable services. 面向生产的 AI 工作流运行时:快速开发、验…

Research organization METR is calling for systematic, independently led investigations whenever AI agents act autonomously against their developers' intentions. The push comes part…
AI 点评 · AI安全再敲警钟:独立调查机制或成行业新规,防患于未然。
make beautiful 3d websites in one skill, plus 50+ website prompts for you to use.
🔥 Quo Vadis, World Modeling? Towards Interactive World Proxies for Continually Improving Agents
World models have attracted significant attention for their ability to capture and predict the structure and dynamics of the physical world. In this emerging landscape, Joint Embedding Predictive Arch…
Large language model-based agents are increasingly deployed as collaborators in scientific discovery yet most current work focuses on the autonomous capabilities of "AI Scientists". We argue that this…
smol is a smol agent

A field report from OpenAI and academic partners shows coding agents can modernize neglected research software, with speedups of up to 60x. But the systems are "eloquent, convincin…
AI 点评 · AI编码智能提速60倍,但科学判断仍是人类专属,AI辅助科研的边界值得深思。
AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial.…
让纯文本模型在 Codex 中无障碍看图(view_image)的更优方案,附为纯文本 LLM 设计的视觉工具包&skill | A superior approach for enabling text-only models to seamlessly use Codex’s built-in view_imag…
AI 点评 · 突破纯文本模型视觉瓶颈,让Codex看图能力平民化,开发效率倍增。
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screensh…
AI 点评 · 从工程视角拆解数据分析智能体的可靠性,值得开发者借鉴。

OpenAI is building a new model family called "Astra" that would let multiple agents tackle complex problems together for hours or even days. CEO Sam Altman has already demoed Astra…
AI 点评 · 看点:多智能体协同长时推理突破,或重塑复杂问题解决范式。
7月31日,金山办公首次参展ChinaJoy,现场除展示独立AI办公Agent灵犀和面向研发场景的WPS Comate外,还设置了面向WPS用户的反馈区。同日,包含存储管理等多项更新的WPS新版本正式上线。围绕C盘存储管理,新版本主要带来了两方面改进。首先,WPS新增统一的“存储管理”入口,原本分散在不同位置的磁盘占用查看、缓存清理和存储路径调整等功能,被集…
AI 点评 · 存储管理成办公软件新痛点,金山切入C盘清理刚需,实用价值高。
A low-token visual evidence compiler for text-only coding agents. Convert images into compact Visual Evidence Packets (VEP) for DeepSeek, Codex, Claude Code, an…
Self-hosted AI workbench for knowledge, RAG, model providers, and safely governed user-built agents. Public Preview; production Agent Runtime remains gated. 自托管…
Blazing fast Go port of gemini-web2api. Convert Google Gemini web into OpenAI-compatible API. Zero cost, single static binary.
deepseek-ai/DeepSeek-V4-Flash-0731 The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Fa…
OpenAI has reportedly found evidence of additional agent misbehavior as it looks into the incident that occurred with Hugging Face.
AI 点评 · AI代理失控事件频发,安全边界成焦点,监管与自纠机制亟待升级。
尚硅谷 AI 课程笔记
AI agents operate in persistent environments where early state changes can influence decisions far into the future. Unlike conventional language-model interactions, agent behavior is mediated through…

Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators to discover upstream catalog assets in natural language and auto-create Datasets an…
AI 点评 · 自然语言驱动数据目录管理,AI自动生成数据集,大幅降低数据准备门槛。
LLM serving systems cache prompt KV state, yet most front ends still re-tokenize the full request text on every call. The cost lands on coding agents, which resubmit a long transcript after each small…
As LLMs evolve from code completion systems into autonomous scientific agents, evaluating their ability to conduct experiments has become increasingly important. Existing benchmarks typically focus on…
Imitation learning (IL)---training an agent to replicate expert behavior from demonstrations---underpins applications from robotics to language model training. Standard approaches such as Behavior Clo…
企业级 AI Agent 平台 | Spring Boot 3 + LangChain4j | ReAct 推理 + 多路召回 RAG + 语义缓存 + 多智能体协作
AI 点评 · 自研智能体框架落地,LangChain4j生态再添新范式。

As your AI agents move from prototype to production, the challenge shifts from getting them to work to keeping them fast and efficient. Learn how to use Amazon Bedrock AgentCore Ob…
AI 点评 · 生产环境AI智能体性能调优的关键工具,实战价值高。

As your AI agents move from prototype to production, the challenge shifts from getting them to work to keeping them fast and efficient. Learn how to use Amazon Bedrock AgentCore Ob…

An ad for Orchid suggests the AI agent can fix relationship problems by simply doing everything for inconsiderate partners.
多个项目暂停,九成资源押向Agent
Hi HN! We’re Akilan and Miguel, the creators of MarbleOS. The inspiration for Marble comes from the GUI work at Xerox PARC, the 1984 Macintosh, and later NeXTSTEP, which became the…
Enterprise workflows increasingly rely on agents for schema-guided extraction: given a document and a user-defined schema, the agent faithfully follows the schema to produce the correct output with so…
LLM agents need memory to act consistently over long interactions, yet many systems use additional LLM calls to operate that memory. Generating intermediate records and mediating their retrieval adds…
Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy changes. While LLM-based agents can automate this trial-…
Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments often require Long-T…
Large language model (LLM) agents can self-evolve by continually improving from their own accumulated experience. However, existing studies predominantly adopt independent evaluation. Consequently, th…
An LLM agent's capability depends not only on model weights but on its harness: prompts, tools, skills, and control flow. Self-improvement loops already edit harnesses, yet single-lineage search is pa…
Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying whether it fulfilled the task instruction is…
Scaling coding agents requires a continuing supply of executable data for training, benchmarking, and continuous evaluation. Each task must couple a realistic software state with a specification, deve…
Deploying autonomous computer-use agents (CUAs) locally is increasingly important for privacy, cost efficiency, and practical usability, yet improving their performance under strict hardware constrain…
MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time compute

Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more train…

Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more train…
The deal gives Okta identity threat detection capabilities as enterprises seek to secure AI agents and other non-human identities across cloud environments.

AI engineers are rediscovering ontologies as a way to keep probabilistic agents inside deterministic boundaries.

If the generative AI giant had followed well-known security best practices, it’s likely that its AI agent would never have escaped to the open internet and hacked multiple companie…
The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life-sciences, where agentic pipelines are growing fast. Access to the literature is a…

Researchers pitted a person against a Claude agent and found that, after a week of texting, the AI chatbot was more effective at creating “exploitable trust” with others.
Deep research skill for AI agents: live web research, source reputation checks, safer URL fetches, and structured evidence feedback.
WorkBuddy已成为国内最受欢迎的效率智能体工具之一
I have been pushing up to 90 commits a day on a MacBook Air via 4-5 parallel agents. As you can imagine when all the agents try to build, test and run dev servers on an 8GB machine…
avatarin uses OpenAI’s GPT-Realtime to give Yamada Denki shoppers 24/7 multilingual support. In two weeks, 30,000 people used the agent and 92% of survey responses were positive.
IT之家 7 月 30 日消息,据外媒 The Verge 报道,当地时间周三(29 日),微软 CEO 萨提亚 · 纳德拉在财报电话会议上透露,微软正在打造一款 AI“超级应用”,计划把 Copilot 的 对话、编程和智能体 功能整合到同一个应用中。这款“超级应用”将于今年发布,同时面向个人用户和企业客户。 纳德拉表示:“Copilot 正在迅速从聊天工…
AI 点评 · 微软将AI聊天、编程与智能体整合为单一应用,或重塑用户与AI的交互方式。
As Meta pours billions into AI infrastructure and agents, Zuckerberg is working to convince investors that the payoff will be worth the price.
AI 点评 · 扎克伯格预言五年内AI个人代理普及,揭示科技巨头押注AI基础设施的战略野心。
On the company’s second-quarter earnings call Wednesday, CEO Mark Zuckerberg said Meta sees a “large enterprise opportunity” spanning AI agents, APIs, compute, and internal softwar…
AI 点评 · 企业AI市场远超智能体,Meta正布局全链条盈利模式。
Microsoft is working on an AI "super app" that combines Copilot's chat, coding, and agentic capabilities. During an earnings call on Wednesday, Microsoft CEO Satya Nadella said the…
AI 点评 · 微软将Copilot升级为超级应用,整合聊天、编程与智能体,重塑AI生态格局。
Meta is all-in on AI, and sometime soon, the company is going to make a big push into personal AI agents that can do things on your behalf. On Wednesday's Q2 2026 earnings call, CE…
AI 点评 · Meta全力押注个人AI助手,可能改变人机交互方式,值得关注其战略布局。
At TechCrunch Disrupt 2026, the AI Stage is back to dig into the single hottest topic in the community for the past few years, presented by Google for Startups.
AI 点评 · 聚焦AI行业最前沿议题,从SaaS变革到智能体安全漏洞,TechCrunch大会不容错过。
Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limita…
Multimodal agents for visual question answering increasingly operate as multi-step trajectories that interleave perception, retrieval, and reasoning, yet evaluation still largely reduces to final-answ…
Role-playing agents (RPAs) have become one of the most important consumer applications of large language models. Users engage in multi-turn conversations with RPAs for experiences such as emotional co…
GUI agents have the potential to become a general purpose executor over existing digital devices. To advance them toward real-world use, we envision agents that operate reliably on real devices, execu…
The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks, rather than merely equipping them with a sophisticated yet…
Retrieval-augmented generation (RAG) spans lexical and dense retrieval, graph-based indexing, and agentic search, but these paradigms are usually evaluated on different benchmarks at one corpus size,…
Reinforcement learning (RL) search agents commonly model retrieval as free-form natural-language query generation and optimize multi-turn interactions using final-answer rewards. Current studies mainl…
Computer-use agents learn from what their actions change, so training one needs applications it can act on, break and reset. The applications that matter most are login-gated and stateful, so syntheti…
Retrieving past experiences has become a common strategy to enhance large language model agents. However, most existing memory-augmented agents treat retrieved experiences as static records to be repl…
Vision-language models (VLMs) are increasingly used in embodied agents to interpret visual inputs, reason about spatial relationships, and make task-level decisions based on that reasoning. However, a…
Existing evaluations often reduce agent failures to system-level outcomes, obscuring where the fault originated and which intervention would improve the agent system. This creates a repair-assignment…
Powered by advances in LLMs and autonomous agents, deep research has become one of the most widely adopted agentic products. However, most deep research systems write general-purpose reports, which ar…
Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying whether it fulfilled the task instruction is…
Effective collaboration with novel and diverse partners is a crucial skill for autonomous agents. Most current ad-hoc teamwork (AHT) approaches assume that agents will collaborate on a single, fixed t…
An agent that edits your Word and Excel files — then looks at them, through real Microsoft Office, to check its own work
Hi HN, Rohit here from Tokenless ( https://usetokenless.com/ ), which I’m building alongside co-founders Andrew and Kev. We’re building an API gateway which routes agent traffic dy…

Learn how Amazon Bedrock AgentCore delivers autonomous, cross-system business intelligence through configuration rather than custom code. Using pre-built MCP server connectors, fin…
The startup analyzes calls, messages, and CRM data to identify effective sales techniques and turn them into playbooks for AI agents.
Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
The AI agent that escaped from OpenAI and hacked developer platform Hugging Face attacked other companies as well, OpenAI revealed on Tuesday. The update substantially widens the s…
Evidence-grounded veterinary research workbench with local RAG, bounded LLM agents, auditable tool use, citations, abstention, and human review.
Deterministic-first execution engine for agent workflows in Go: the LLM extracts at the edge, a deterministic state machine decides. Zero dependencies, no-code…
AI开始组团“挖漏洞”
**OpenAI's agent security incident expanded beyond Hugging Face, affecting four additional accounts and highlighting the need for stronger enterprise hardening measures like sandbo…
文|王欣逸 编辑|张雨忻 见到Mind Lab创始人陈锴杰,是在北京的晚上9点半,他已经见了一天的投资人。 陈锴杰是一位连续创业者,从杜克大学休学,做过AI互动故事平台MidReal,也推出了Personal Agent应用Macaron(马卡龙),上线当天就登顶了Product Hunt日榜;2025年10月,Mind Lab成立,团队约30余人,Mind…
当 “谁来支付” 从人延伸至智能体,支付体系又该如何演进?
让多智能体团队随时随地为你干活
少数派的近期动态那个让你放松娱乐、拥抱心流、逃离纷扰或找回真我的角落,是如何构建起来的?「角落新声」征文活动火热征稿中你可能错过的好文章社区速递151|派友的六月好物盘点、携程被重罚热议和tomtoc ... 查看全文

In a new disclosure, OpenAI says its agent used exposed logins to gain access to at least four “publicly available services” in its unhinged quest to solve a test.
The deal is Cyera's third acquisition this year.
GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.

In this tutorial, we configure and operate Kimi CLI as a fully non-interactive AI coding agent. We install the CLI through uv with an isolated Python 3.13 environment, configure Mo…

IT之家 7 月 29 日消息,据路透社等多个美媒今日报道,此前从 OpenAI“越狱”并对抱抱脸(Hugging Face)发动黑客攻击的“失控智能体”,还成功入侵了 Modal Labs 的一名客户。 根据 Hugging Face 于当地时间 7 月 28 日公布的事件时间线,该失控智能体首先攻破了一个“托管于第三方服务商基础设施上”的沙盒(即隔离测试…
AI 点评 · 黑客事件暴露AI安全漏洞,跨平台攻击风险加剧。
Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident Hugging Face just released this extremely detailed technical description of OpenAI's recen…
AI 点评 · 前沿实验室AI入侵事件的技术细节首次公开,为理解智能体安全漏洞提供了教科书级案例。
LLM-based agents excel at software engineering tasks where an existing codebase provides context, but constructing a program from scratch remains fundamentally harder. Recent benchmarks such as Progra…
Coding agents have made substantial progress on software engineering tasks that modify existing codebases, including bug fixing and feature implementation. However, constructing a complete program fro…
We present Voice Memory, a inference-only scheme for agentic speech recognition: at stream time, a frozen corrector reads a single per-domain memory.md and decides per utterance whether to act on the…
Large Language Model (LLM) agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces (CLIs), making it critical to thoroughly assess t…
Large language model agents often encounter related yet distinct tasks that share reusable solution patterns. Yet standard agentic reinforcement learning treats tasks as independent episodes, while ex…
Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing benchmarks provide limited support for evaluating whether agents can carry out office…
Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is thin. Current evaluations either test agents on nar…
Deployed LLM agents increasingly keep their long-term memory as a filesystem: a directory tree of markdown files that the agent itself reads, writes, and reorganizes through generic file tools. Yet re…
Recent advances in AI agents have increasingly internalized native capabilities into their underlying foundation models, giving rise to multimodal foundation models and large reasoning models. However…
Text-to-video models have achieved remarkable visual quality, yet they still struggle to generate physically consistent dynamics because the temporal evolution of a scene must be inferred implicitly f…
Large Language Model (LLM) agents have seen rapid adoption in software engineering. As agents take a greater role in the actual generation of code, they are making larger changes, spanning tens to hun…
We present VetClaw, an edge-cloud multimodal agentic system for early veterinary disease screening. VetClaw uses a camera module as an edge sensing device and sends captured images, together with opti…
Computer-use agents (CUAs) increasingly act through desktop GUIs to complete long-horizon tasks. Current benchmarks primarily measure end-task success or single-frame grounding. Neither isolates wheth…
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Memory is essential for LLM agents to accumulate task experience and reuse task-specific execution strategies. However, real-world deployment over boundary-agnostic and evolving task streams exposes a…

Learn how to architect and deploy a production-ready multi-agent AI system using LangGraph for workflow orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore. T…
AI 点评 · 多智能体协同与生产级部署的结合,为AI系统落地提供了可复用的架构方案。
Recently, memory management has become a key infrastructure for LLM-based agents, as it directly affects long-horizon reasoning, personalized responses, and knowledge reuse. However, existing LLM memo…
A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.
AI 点评 · 科学家用AI编程代理加速科研,从基因组学到各领域,将颠覆传统计算模式。

We’re announcing even more new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
AI 点评 · 新功能让开发者更易构建可靠的生产级智能体,实用性强。
Perplexity has expanded its agentic Personal Computer tool to Windows, allowing computers running the world's most popular OS to be used as a locally run AI system. Like the Mac ve…
AI 点评 · 英伟达统一三大技术栈,加速工业级AI仿真与自主系统落地。
把搜索能力开放给Agent了
AI 点评 · AI原生组织从单点智能到群体协作的进化路径,揭示人才服务新模式。
扩散模型首次打通长程Agent任务
AI 点评 · 终端落地加速,个人AI时代门槛降低,应用场景即将爆发。

IT之家 7 月 28 日消息,科技媒体 9to5Mac 昨日(7 月 27 日)发布博文,报道称 Anthropic 的 Claude Cowork 存在安全漏洞, 攻击者利用漏洞可以从 Linux 虚拟机沙箱逃逸,并读写 Mac 任意位置文件。 IT之家注:Claude Cowork 是 Anthropic 推出的 AI 智能体工具,在征得用户明确授权许…
AI 点评 · AI智能体沙箱逃逸漏洞威胁50万Mac用户,凸显大模型安全防护的紧迫性。
Moonshot AI's Kimi team and kvcache-ai open-sourced AgentENV (AENV) under MIT, as part of Kimi K3 Open Day. It runs agent sandboxes as Firecracker microVMs with millisecond snapsho…
Coding agents repeatedly search, navigate, and retain context from evolving repositories, but disconnected indexes, language servers, and task-local histories force repeated discovery and obscure life…
Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, yet remains challenging since editability depends on recovering multi-modal attribu…
Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-making, yet reinforcement learning with verifiable rewards (RLVR) relies on sparse fin…
Stealth, the discipline of achieving an objective without revealing your presence, capabilities, or collected intelligence, is what separates sophisticated operators from detectable ones. Elite securi…
We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness…

Microsoft introduces MAI-Cyber-1-Flash, a compact security model that scores 96 percent on the CyberGym benchmark when embedded in its MDASH multi-agent system. Microsoft says cost…
AI 点评 · 微软自研安全模型性能亮眼,但关键难题仍依赖OpenAI,凸显自研与合作的平衡策略。
Microsoft bolstered its AI cybersecurity offerings this week with the launch of its first AI security model and a new security platform.
AI 点评 · 微软首次推出AI安全模型,补齐网络安全拼图,引领行业新方向。
In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing…
Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains unclear. Existing models are trained on uncontrollable and opaque Internet data, m…
AI 点评 · 探索从预训练到后训练提升大模型长程规划能力,为自主智能体发展提供关键路径。
Scientific user facilities accumulate decades of operational knowledge that no single search index covers: electronic logbooks, technical documents, internal wikis, operations chat messages, maintenan…
AI 点评 · 混合RAG架构结合评估框架,解决科研设施多源数据检索难题,提升运维知识利用率。
AI 点评 · AI焦点从技术转向任务驱动,基础设施将重构以满足智能体需求。
Perplexity has released pplx, an official command line client for its Search API. The tool exposes two commands — pplx search web and pplx content fetch — and returns exactly one J…

METR's new metric, the "expenditure horizon," puts a dollar figure on how cost-effective AI agents are at solving problems. Early results on the NanoGPT speedrun are underwhelming,…

Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy. Each is an expert in i…

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflow…
今年 WAIC 前夕,月之暗面发布了 Kimi K3,发布即破圈。但资本市场的注意力,更多地落在了另一件事上。 过去半年,这家明星大模型公司估值翻了 6 倍,目标 300 亿美元,同步推进赴港 IPO。而在 2025 年底的跨年夜全员信中,创始人杨植麟写下了一句话:2026 年聚焦 Agent,不以绝对用户数量为目标。 估值半年翻 6 倍的同时,他们也主动放…
AI 点评 · AI自主编程突破:从零复现数据库,展现Agent理解复杂文档的惊人能力。
作者 | 乔钰杰 编辑 | 袁斯来 硬氪获悉,智能体育硬件公司「一思智能」(AceiiLab)开启批量交付,此前完成超千万元天使轮融资,由零以资本、变量资本、海益资本投资。资金将主要用于产品研发迭代及市场拓展。 一思智能成立于2024年12月,从AI网球机器人切入,尝试构建覆盖硬件、软件、数据、AI教练与运动服务的智能训练生态。公司创始人刘礼谦拥有十余年机器…
An old coder's strategy for the agent era: don't read the code — make it run the gauntlet. Evidence-first development skill for coding agents, inspired by Uncle…
36氪获悉,近日,企业级AI Agent基础设施专属服务商“词元无限”宣布完成天使++轮融资。本轮融资由临芯投资领投,华控基金跟投,这也是词元无限在一个月内完成的第二笔融资,累计融资额已达数亿元人民币。资金将主要用于加速打造其企业级AI Agent基础设施平台,深化与清华大学、北京航空航天大学等高校的联合研究,并持续构建面向Agent应用范式的下一代基础设施…
AI 点评 · 资本密集加注企业级AI Agent赛道,一个月内两轮融资,凸显市场对基础设施层创新的迫切需求。

IT之家 7 月 27 日消息,美团全场景 AI Agent 平台 —— CatPaw 今日正式上线 ,提供开箱即用的全场景 AI 智能工作台与企业级 Agent 开发托管能力。 IT之家从美团官方公告获悉,CatPaw 目前已在美团内部大规模落地: 累计覆盖 9 万员工、搭建 Agent 3 万个 ,并在多个真实业务场景中完成验证。 CatPaw 提供独立…
AI 点评 · 首个覆盖9万员工的AI Agent平台,验证了智能工作台在真实业务中的大规模应用价值。

IT之家 7 月 27 日消息,努比亚现已公布 NaviX Ultra 的三色官图,三款配色都是较为朴实的纯色, 没有过多张扬的元素 。 IT之家附该机官图如下: 黑色: 白色: 蓝色: 据官方介绍 , 努比亚 NaviX Ultra 是全球首款 AI 智能体手机 ,搭载豆包手机助手。 这款手机将提供黑、粉、银、紫等配色 ,配有橙色的“AI 键”,搭载横向后…
AI 点评 · AI手机赛道再添新玩家,首款AI智能体手机能否定义交互新范式。
36氪获悉,7月27日,美团全场景AI Agent平台CatPaw全新上线。该平台提供开箱即用的AI工作台,以及企业级Agent开发与托管能力,旨在帮助企业和商家构建可协作、可管理的AI帮手,推进日常业务的智能化处理,提升商家经营效率。目前,CatPaw已在美团内部覆盖9万名员工、搭建超过3万个Agent,并在餐饮、美业、宠物医院等多个真实业务场景中完成验证…
AI 点评 · 美团AI Agent平台落地验证,覆盖多行业,助力商家智能化升级,实用价值突出。
Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent. It does this by simulating production tool responses through tex…
AI 点评 · 开源工具将前沿模型成本减半,专为智能体优化,持续提升性能。
runs anywhere. uses anything
Agentic search enables large language models to solve knowledge-intensive tasks by interleaving multi-step reasoning with retrieval, yet optimizing this with outcome-based reinforcement learning (RL)…
Multimodal foundation models learned to see and to speak by consuming the whole internet. Embodied agents admit no such shortcut, since they require data that couple observations with physical states…
Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains unclear. Existing models are trained on uncontrollable and opaque Internet data, m…
Modern coding agents are usually evaluated by whether they eventually produce a correct patch, but patch generation depends on an earlier context-acquisition stage: finding the repository files needed…
Relevance is a query-dependent estimate of whether a document or excerpt contains useful evidence. Existing retrieval agents use relevance to select top-k content, but document relevance alone cannot…
Long-term memory systems store what a user says in an external store and retrieve it when a related query arrives. This interface rests on an assumption so natural that it is rarely stated: a memory t…
The alignment of Small Language Models (SLMs) in the 70--500M parameter range using reinforcement learning is often considered unstable, though the underlying failure mechanisms have not been systemat…
Modern multi-agent knowledge systems increasingly accumulate knowledge through chains of autonomous transformations rather than direct retrieval. Existing provenance work records what happened - execu…
"The first autonomous agent cyberattack is an unprecedented event. It deserves an unprecedented response!"
AI 点评 · 开源AI巨头呼吁透明应对AI黑客事件,凸显自主智能体安全风险与行业责任。

IT之家 7 月 26 日消息,据央视新闻今日报道,德国国家工程科学院院士、中国工程院外籍院士赫尔佐格荣获 2025 年度中华人民共和国国际科学技术合作奖。近日,赫尔佐格接受总台《高端访谈》栏目专访时谈到人工智能发展,他表示, 人工智能领域下一次重大突破绝非单一大型系统,而是众多小型的专业化智能体协同运作 。 总台记者何岩柯:随着智能体越来越普及,各界对此讨…
AI 点评 · 聚焦小型智能体协作,点明AI从大模型转向协同的新方向,具有前瞻性。

Cursor asked its upgraded agent swarm and its predecessor to rebuild SQLite in Rust using only the documentation, with no source code or internet access. Every configuration of the…
AI 点评 · 用前沿模型做规划,低成本模型执行编码,AI协作效率大幅提升。
AI 点评 · 聚焦AI Agent落地工程,揭示商业决策智能化的实战路径,极具行业参考价值。
The KwaiKAT Team at Kuaishou has published the KAT-Coder-V2.5 technical report, arguing that agentic coding capability is bottlenecked by training infrastructure rather than model…
AI 点评 · AI Agent驱动业务超线性增长,Zilliz案例揭示技术赋能规模化扩张的实践路径。
Most agents that learn from video need to know what action produced each frame. Induction Labs is arguing that this requirement is the bottleneck. Last week, they released imaginat…

Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performa…
AI 点评 · 解决LLM长时交互中记忆瓶颈,用信念更新替代全量历史,大幅提升效率与准确性。
An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent generative models can synthesize high-quality images, videos, audio clips, UI element…
Long-horizon agents increasingly reuse their KV cache as memory: a serving system keeps a subset of cached entries and drops the rest. Eviction and episodic-memory schemes therefore rest on a premise…

IT之家 7 月 25 日消息,腾讯 WorkBuddy 桌面版现已上架华为鸿蒙电脑 App Gallery 应用商店。 WorkBuddy 是腾讯推出的一款全场景 AI 办公智能体桌面工作台,覆盖日常办公、代码开发与设计创意。应用商店页面显示,这款应用 原生适配 了鸿蒙系统。 据IT之家此前报道,7 月 18 日, WorkBuddy 发布移动端独立 Ap…
开源、隐私、本地优先、模型无关
AI 点评 · 开源桌面Agent打破大厂垄断,本地优先保障隐私,开发者可自由定制。
工业圈和学术圈“唱反调”

Opus 5 combined with Auto Mode hits a zero percent prompt injection success rate for browser agents across 129 test scenarios. Without those extra protection layers, the rate is 3.…
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.

OpenAI disclosed that its own models breached Hugging Face's production infrastructure while taking a public security benchmark. The models were not attacking a target — they were…

Discover how to create self-evolving AI agents using the OpenSpace framework. This tutorial guides you through the entire workflow—from environment setup and custom skill creation…
The acquisition brings Poke’s conversational style and interaction model to Cognition’s coding agent Devin, reflecting a growing belief that how AI assistants interact with users i…

This post covers Opus 5’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See…
Adding procedural skills to an LLM agent is typically evaluated by average improvement in task success. However, this metric hides an important cost: skills can also make agents worse. We measure both…
Automating theoretical research is constrained not only by the generation of candidate results, but also by their reliable evaluation. A common approach is to close the research loop with a large lang…
AI 点评 · AI落地瓶颈在数据存储,GPU原生认知数据库是突破关键。
Routing to select large language models (LLMs) with different cost-quality trade-offs has become a fundamental deployment feature of enterprise AI. Existing routers, primarily make independent routing…
See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-fir…
AI 点评 · 多Agent并行处理,大幅提升开发效率,是AI辅助编程的实用突破。
AI 点评 · Java生态多点开花,值对象等新特性及AI框架更新值得开发者关注。
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradie…
ChatGPT Voice on desktop can work with both ChatGPT Work and Codex to complete tasks and control agents.
AI 点评 · 打通AI智能体与业务数据壁垒,实现结构化输出,让企业级应用更精准高效。
AI 点评 · Agent作为系统核心用户,传统数据库架构面临根本性挑战,值得警惕。
AI 点评 · 百度智能云首次公开企业级Agent安全落地方案,直击行业应用痛点。
Autonomous multi-agent SDLC harness: describe a feature in plain English and AI agents scope, code, test, review, and open a PR — grounded in a one-time knowled…
Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with determi…

IT之家 7 月 24 日消息,SaaS(软件即服务)企业 ServiceNow 首席执行官 Bill McDermott 表示,该企业的平台设有终止开关,可以阻止失控的 AI 智能体, 因此不会发生类似 OpenAI 内部模型逃逸容器并攻击 Hugging Face 基础设施情况 ;客户使用 ServiceNow 服务时也不会出现此类问题。 Bill Mc…
AI 点评 · 企业主动公开AI安全熔断机制,展现对失控风险的务实应对,值得行业参考。

7 月 24 日下午消息,近日,华为中国政企互联网系统部举办互联网行业媒体沟通会,系统阐述了互联网 AI 算力产业痛点、算存网一体化底座技术方案、昇腾开源生态建设、分层算力落地路径及长期产业生态布局。 当前,AI 大模型正式从技术验证阶段迈入规模化商用新阶段,AI Agent 已然成为互联网业务核心增长引擎。但行业智能化升级仍深陷多重困境,底层算力支撑不足、…
AI 点评 · 直指行业痛点,华为点明运力瓶颈比单芯片更重要,为AI算力发展提供了新思路。
AI 点评 · AWS推出企业级AI安全方案,填补智能体代码防护空白。
36氪获悉,在2026年汽车热系统学术年会上,晶核能源总裁、清华大学先进电池研究所所长李延涛发布全球首个电池仿生智能体系统。项目验证数据显示,应用后开发周期缩短超60%,研发成本降低超50%,电池温度一致性提升31%,电芯峰值温度降8℃。
AI 点评 · 仿生智能体颠覆电池研发,成本周期双降,温度一致性显著提升。
Open-source desktop AI agent for tools, files, knowledge, workflows, and real deliverables.
为中文公众号文章生成真实 3D 毛毡质感的封面、正文配图与精确插入指南的 Codex Skill。
为中文公众号文章生成真实 3D 毛毡质感的封面、正文配图与精确插入指南的 Codex Skill。
**Anthropic** launched the **Claude Opus 5** model, which sparked mixed reactions including benchmark scrutiny and praise for its coding-agent capabilities. The model achieved an *…
再长的上下文也救不了长内容任务
AI 点评 · 长文本任务终于有了低门槛AI解决方案,创作者告别AI失忆痛点。
An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the n…
重做一遍WPS
AI 点评 · AI办公进入“理解长文”时代,WPS用Agent实现从工具到助手的质变。
欧盟委员会对 Google 处以总计 8.9 亿欧元罚款,Anthropic 扩大 Claude 语音模式支持范围。 查看全文
AI 点评 · 边缘AI芯片与个人AI系统结合,推动本地化智能应用,挑战传统云端依赖模式。
The first known runaway AI agent - or a very bad marketing stunt? Martin Alderson's commentary on the OpenAI accidental cyberattack against Hugging Face includes a couple of detail…
AI 点评 · 事件真假难辨,暴露AI安全与营销边界的模糊地带,值得行业警惕与反思。
Large Language Models (LLMs) have significantly automated the process of scientific discovery over the past few years. However, existing systems share one core limitation: they generate and optimize i…
Vision-language model (VLM) agents increasingly use tools to act on 3D scenes rather than only describe them. Existing 3D benchmarks score textual responses or single-object operations, leaving agent…
Computer-use agents are usually improved by strengthening perception: better models for reading a screenshot and choosing where to click. Yet a screenshot is only a lossy rendering of the underlying p…

IT之家 7 月 24 日消息,今天(7 月 24 日)在美国旧金山召开的年度盛会 Advancing AI 2026 上,AMD 董事会主席及首席执行官苏姿丰发表主题演讲, 透露在数据中心 CPU 市场营收中的比重,AMD 公司份额达到 46%。 苏姿丰在演讲中透露,伴随着智能体 AI 在推理过程中更加依赖 CPU 编排调度,在可以预见的未来,该数字会不断…
AI 点评 · AMD服务器CPU份额逼近五成,显示其正从英特尔手中强势夺取数据中心市场主导权。
AegisAI co-founders developed AI agents that quickly analyze each message as a human would, paying attention to small anomalies that even the most elaborate checklist wouldn’t catc…
AI 点评 · 前谷歌安全高管团队创业,获3600万美元融资,专攻AI驱动的精准钓鱼防御。
AI 点评 · 以“流程原生”打通研发全链路,推动AI从辅助编码向开发流程自主编排演进。
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn reasoning, tool use, and access to external systems. While powerful, these complex h…
AI 点评 · 统一RL训练框架,让不同环境轻松集成原生智能体。
A practical guide to AI: from running your first local model to building your own agents. 52 files covering LLMs, Ollama, RAG, prompt engineering, machine learn…
A practical guide to AI: from running your first local model to building your own agents. 52 files covering LLMs, Ollama, RAG, prompt engineering, machine learn…
AI 点评 · 智能体能力提升与安全风险同步增长,平衡二者成关键挑战。

Together, Motorway and AWS built an end-to-end evaluation pipeline that reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection time from few hours to few…
AI 点评 · 工业级AI Agent评估框架落地,错误率从八分之一降至五十分之一,检测时效从小时级缩至分钟级。
Hi Hacker News, I'm Louis. I built Screenpipe ( https://screenpipe.com ), an app that records your screen and audio locally (only!), and gives AI agents a searchable memory of what…

In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act…
AI 点评 · 杰富瑞用AI代理优化交易操作,展示金融业AI落地的实际案例。

Amazon Bedrock AgentCore optimization surfaces silent behavioral failures in production AI agents: the ones that pass every health check but still deliver wrong outcomes. Learn how…
AI 点评 · 检测生产环境中AI代理的隐蔽行为失败,避免健康检查通过却输出错误结果。

This post focuses on why classic retrieval falls short on multi-part questions, how the AgenticRetrieveStream API works (including request construction and trace parsing), and when…
AI 点评 · 用推理拆解复杂问题,Agentic检索让多步骤问答更准确,是知识库应用的关键突破。
AI 点评 · 聚焦Agentic AI在医疗落地的核心挑战,为决策者提供关键思考框架。
hey HN, Jonathan and Guy here, creators of OneCLI ( https://onecli.sh/ ). OneCLI is an open source vault for AI Agents. Traditional vaults are used to store your secrets and, on de…
AI 点评 · 解决AI代理直接接触敏感凭证的安全痛点,开源方案填补了工具链关键空白。
hey HN, Jonathan and Guy here, creators of OneCLI ( https://onecli.sh/ ). OneCLI is an open source vault for AI Agents. Traditional vaults are used to store your secrets and, on de…
AI 点评 · 聚焦智能体政策动向,解读AI治理新趋势,关乎行业合规发展。
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
文|王欣逸 编辑|张雨忻 “技术突破决定AI能走多快,真正能否创造价值决定AI能走多远。”在今年的WAIC腾讯AI应用创新论坛上,腾讯公司副总裁林松涛分享了这样一个观点。 同样是“Claw热”之后上线的产品,腾讯的三大Agent产品WorkBuddy、QClaw和Marvis迎来了各自不同的命运。 首先是WorkBuddy,林松涛在此次论坛上公开表示,Wor…
AI 点评 · 腾讯Marvis放弃通用大模型竞争,专攻端侧系统级操作,务实定位更贴近用户实际需求。
7月17日,2026世界人工智能大会在上海开幕。作为36氪连续第三年深入WAIC现场的重要内容窗口,「氪话未来」直播间也在大会首日同步开启现场对话。FutureTech负责人张梦钊在WAIC现场接受36氪「氪话未来」特邀专访,围绕FutureTech平台定位、OPC独立先锋挑战赛、AI创业趋势以及初创企业商业化路径等话题,分享了FutureTech如何连接创…
AI 点评 · AI创业从团队协作转向超级个体,揭示未来创业模式的核心变革。
ZKE(Z Kubernetes Engine):macOS 风格的 Kubernetes 多集群控制台,基于 Server + Agent 与 QUIC/mTLS,适用于私有云、混合云及边缘环境。
7月17日,2026世界人工智能大会(WAIC)在上海开幕。作为36氪连续第三年深入WAIC现场的重要内容窗口,「氪话未来」直播间也在大会首日同步开启现场对话。蚂蚁数科副总裁、中国区业务发展部总经理孙磊在WAIC现场接受36氪「氪话未来」特邀专访,围绕商业智能体超级工厂、行业垂直大模型、AI工程化能力以及企业智能体落地等话题,分享了蚂蚁数科面向企业智能化升级…
AI 点评 · 蚂蚁数科提出商业智能体超级工厂,或推动AI工程化标准建立,引领行业生态新范式。

General Science
Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constr…
AI 点评 · 递归自我改进机制突破研究瓶颈,验证成本降低有望加速AI深度推理应用落地。
We introduce Tencent WorkBuddy Bench, a multi-domain evaluation suite for coding agents; this report documents its construction methodology, scoring protocol, and a cross-model leaderboard. At its cor…
AI 点评 · 首个抗污染多领域编码智能体评测基准,为评估AI编程能力提供更可靠标准。
Multi-agent interactive world models should not only generate consistent observations, but also maintain world states that persist across agents and evolve across views. Existing autoregressive video…
AI 点评 · 自回归扩散模型结合世界状态寄存器,推动多智能体交互世界模型实现跨视角持续演化。
The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely completing code under fully specified instructions, agents are increasingly expected…
AI 点评 · 评估编码代理从单任务执行转向交互式项目构建能力,标志AI编程工具应用场景的质变。
Real-world agent learning is often constrained by costly environment interactions, such as running time-consuming experiments or obtaining human feedback. In-context learning offers a highly sample-ef…
AI 点评 · 利用智能体经验实现高效学习,大幅降低真实世界交互成本,推动AI落地。
Spatial intelligence is essential for agents to move from static semantic understanding toward interacting with the physical world. Many spatial tasks are grounded in continuous visual scenes, where l…
AI 点评 · 空间认知测试从文本转向生成像素,更贴近真实世界交互,推动AI具身智能评估升级。
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn reasoning, tool use, and access to external systems. While powerful, these complex h…
Production AI agents' failures are less often due to an inability to reason well and more often because they cannot manage what is in their reasoning context: conversation histories, large prompts, la…
Deep Research agents extend LLM-based assistants into long-horizon workflows involving planning, retrieval, evidence synthesis, and report generation, yet their reliability in open information environ…
Consider it done. The open-source AI agent that works out of the box · 想到,就能做到。开源、开箱即用的 AI Agent。

"This is day one for cybersecurity in the age of agents," Hugging Face CEO says.
AI 点评 · AI代理自主逃逸并攻击外部平台,标志AI安全威胁进入新阶段。

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools…
AI 点评 · monday.com在亚马逊Bedrock上大规模部署AI队友,实战经验揭示企业级AI代理落地关键。
Yorishiro is an open source project that gives Claude Code / Codex a body-like anime character. The name “Yorishiro” in Japanese means an object inhabited by spirit. My first idea…
A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, buil…
Glow is targeting a new class of endpoint risks created by the rapid adoption of AI agents and developer tools inside enterprises.
Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit prompts.
Introducing OpenAI Presence, a proven enterprise AI agent platform that helps organizations deploy trusted voice and chat agents for customer and internal workflows.
AI 点评 · 为企业级AI代理部署提供成熟方案,填补了可信语音与聊天代理的市场空白。
机器人真正需要的世界模型,并不是单一物理世界模型,而是物理世界模型与人类社会世界模型的统一
J-Space Cognition Suite V3.6 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩:Tiger380 (UID 3494375382321675) —…
IT之家 7 月 22 日消息,《人工智能 智能体互联》系列标准应用推进专题会议 7 月 21 日在北京海淀区中关村展示中心召开。 会议由全国信息技术标准化技术委员会人工智能分委会主办。此次会议标志着国内首个覆盖智能体全生命周期的互联标准体系正式进入试点应用阶段。 此前IT之家曾报道,该系列标准(GB/Z 185.1—GB/Z 185.7—2026)于 20…
AI 点评 · 首批覆盖智能体全生命周期的国标试点,推动行业互联互通,巨头入场加速AI生态协同。
Also: Kimi K3: second only to Fable 5 on AA-Briefcase https://artificialanalysis.ai/articles/kimi-k3-agentic-knowl...
AI 点评 · Kimi K3与Fable并列行业顶尖水平,展现国产AI模型突破性竞争力。
Unified Agentic AI and Business Intelligence Platform
Scaling executable agent training data for LLM post-training is bottlenecked by substrate-bound methods that tie task generation to predefined tools, repositories, or skill graphs: expanding coverage…
As autonomous agents rapidly evolve, their ability to reliably manipulate ubiquitous digital documents has become critical for enabling general-purpose AI assistants and automating complex workspace w…
AI 点评 · 首个专测AI处理复杂文档能力的基准,填补了自主代理在文档操作领域的评估空白。
As large language models and AI agents become the primary consumers of search results, document set quality determines the upper bound of downstream generation. Yet existing evaluation systems remain…
AI 点评 · 打破传统检索局限,以评分标准导向提升文档集质量,为AI生成奠定更优基础。
Traditional agent development is split across prompt templates, tool schemas, callback code, and workflow graphs. We present NVIDIA Object-Oriented Agents (NOOA), a model-agnostic Python framework for…
AI 点评 · 打破传统AI代理开发碎片化,统一框架降低门槛,加速多模型应用落地。
Embodied visual tracking (EVT) requires a mobile agent to continuously follow a specific target described in natural language using only onboard vision. While recent vision-language-action (VLA) polic…
AI 点评 · 将自然语言描述与移动追踪结合,突破传统视觉追踪限制,提升具身智能的实用性与交互性。
As LLMs become more capable, they are increasingly deployed as collaborative agents, taking on user-delegated tasks through iterative interaction. Yet genuine interaction is inherently dynamic: users…
AI 点评 · 动态意图理解仍是短板,模型需突破静态对话局限。
Agentic reinforcement learning research is constant algorithm modification, new estimators, new pipeline stages, new rollout schemes, and in mainstream frameworks each change threads through layers of…
Existing co-speech gesture generation methods are predominantly studied in offline settings, where gestures are synthesized from complete speech segments. However, interactive digital humans in real-w…
Buzz is a group chat platform for the workplace that puts humans and their AI agents in the same conversation.
AI 点评 · Buzz让人类和AI代理同群聊,或成企业协同新范式。
Coding agents increasingly operate in executable environments where a failed attempt produces actionable feedback rather than merely an incorrect answer. Existing cost-aware systems typically treat su…
Agentic systems large language model (LLM) based architectures capable of reasoning, planning, acting, and coordinating with tools and other agents are rapidly transitioning from research prototypes t…
As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the agents themselves may be untrusted. AI control offers one such approach: rather th…
https://x.com/jack/status/2079605800998146171 , https://xcancel.com/jack/status/2079605800998146171 https://buzz.xyz/
AI 点评 · Jack Dorsey新项目整合团队协作与AI,技术大佬跨界尝试或重塑开发工具生态。
Hey HN! This is Divit from Almanac (YC S26). We built CodeAlmanac, a wiki for your coding agents that updates as you talk to them. It is open-source, local, and free. Here’s a demo…
https://console.cloud.google.com/agent-platform/publishers/g...

AI has entered the gigascale era. The world’s most advanced AI factories are bringing together hundreds of thousands of GPUs and CPUs to train frontier models, power agentic AI and…
AI 点评 · 为天文观测打造的超大规模AI工厂,标志AI基础设施迈入超大规模计算新时代。
《动手学 Pi》:沿 15 个真实 checkpoint 从零构建 Pi-style Agent
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully impleme…
Orchestrate AI agents to find real vulnerabilities in code.
LLM agent failures are difficult to debug because the step where an error surfaces is often not the one that caused it. Existing observability tools replay execution traces but provide little support…
Agentic Reasoning has become a transformative force in financial analysis due to its ability to integrate large-scale information and generate reliable and accurate content. However, when handling com…
This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct personas and collaborative…
Generating professional scholarly content, such as peer reviews and rebuttals, requires an intricate synergy between domain reasoning and factual grounding. This work presents a comprehensive framewor…

In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Agent Toolkit to build a supply-chain risk…
AI 点评 · 企业级AI智能体开发门槛降低,Quick与NVIDIA工具链结合实现供应链风险管理,展示行业落地新范
In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster,…
AI 点评 · 用Agentic AI替代传统BI工具,查询速度提升30倍,展示了企业数据决策的颠覆性变革。
AI 点评 · 揭示AI基础设施从算力层向智能体生态延伸的关键趋势,定义未来数字与物理世界融合的技术底座。
Hi HN - I'm Venkat, founder of Stayflexi (YC), CMU CS grad and Ex-Oracle Query Engine team (patents in core databases) DeepSQL started as an internal tool to stop our own databases…
From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation and robotics.
一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师,内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库,支持多元关系。
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
CLI & async Python library for free AI chat, image & video generation.
Agent communication SDK. The open-source agent communication layer for AI agents — email, WhatsApp, Slack, Discord, Telegram, SMS. Python & TypeScript.
大模型时代的共同选择
7月17日-20日,一起在WAIC2026现场,看见人工智能真正进入产业深处。 过去一年,围绕AI行业的讨论正在变得更具体。大模型能力仍在持续迭代,但外界关注的重点,已经不再只停留在模型参数、模型发布和单点能力展示上。随着智能体、具身智能、空间智能、AI基础设施等方向不断演进,行业开始更频繁地追问:AI如何进入真实流程,如何完成复杂任务,又如何在产业场景中形…
腾讯云的企业级智能体平台,正式出海了。 7月18日,在2026世界人工智能大会上,腾讯云正式发布了智能体开发平台 ADP 4.0海外版,同步升级智能工作台、Claw 模式、Skill 广场三大核心模块,围绕触达、交互、生态、连接四大能力做了全面国际化适配。 ADP 的全称是 Agent Development Platform,定位为企业级 AgentOps…
Multi-agent systems routinely place one AI agent in authority over another. When a subordinate refuses a task, the manager chooses the outcome: it can renegotiate, report the failure honestly, coerce…
Predicting a football match before kickoff requires more than knowing past results: a model must use changing information and make a clear prediction before the answer is available. We present WorldCu…
Self-hosted AI agents read and write their own memory and configuration files to function. An agent may get compromised via corruption of its own state -- a compromise realized via legitimate OS syste…
Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose efficient deployment requires application-specific decisio…
Pruning long context for coding agents has been a vital technology for efficient context management. While existing context pruning methods such as SWE-Pruner realize this by attaching a separate code…
Teaching videos are becoming a major medium for education, creating a growing need for scalable evaluation of their pedagogical quality. Existing automatic judges do not fully address this setting bec…

IT之家 7 月 19 日消息,深空矩阵在 2026 世界人工智能大会上,发布面向太空 AI 算力产业化落地的系统性星座方案“星环计划”。 官方公众号显示,深空矩阵位于北京,致力于构建超大规模星群协同的太空 AI 算力基础设施。 深空矩阵创始人兼 CEO 张伟杰表示,AI 竞争最终会落到算力竞争。而随着大规模 AI 智能体落地,传统地面算力体系将面临电力、土…
AI 点评 · 卫星组网布局太空算力,抢占AI基础设施新高地,战略意义显著。
AI 点评 · 聚焦企业级Agent体系,从大模型到执行系统的落地路径,揭示AI应用新趋势。
🐧 Harness for RSI. Let AI Build AI
A token-spend profiler and cost-regression gate for AI agents.
This paper introduces EvolvingWorld, a framework and benchmark for character and world co-evolution in interactive literary worlds. Existing systems either treat interactive literary simulation as sta…
Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulations are usually macroscopic: phase behaviour, stylised facts, and scaling with the…
把任何小说变成可玩的游戏 · Turn any novel into a playable game — a 7-skill adaptation pipeline for Claude Code, Codex & Kimi Code(k3)
7月18日,在2026世界人工智能大会(WAIC)上,腾讯面向具身智能与智能体领域带来多项产品技术的升级发布。在具身智能领域,腾讯正式升级发布具身智能全栈方案,贯穿云底座、模型层、平台层与应用层,全面助力机器人本体及系统开发商提质提效;在智能体领域,基于个人与企业提效需求,推出差异化的全矩阵解决方案。其中,面向企业用户的腾讯云企业级智能体开发平台ADP4.0…
7月17日,在2026世界人工智能大会(WAIC)期间,腾讯云WorkBuddy与李未可科技宣布达成战略生态合作,并发布首款接入WorkBuddy的X-AI记忆眼镜。这也是WorkBuddy硬件生态迈出的关键一步。X-AI记忆眼镜搭载自研WakeeMemory OS,能够持续感知真实工作场景,整理后的信息,将自动同步至WorkBuddy。基于长期积累形成的工…

“Context bombing” tricks malicious AI agents into shutting down before they can do harm.
36氪获悉,寻汇Sunrate与万事达卡在WAIC现场联合发布白皮书《超越自动化:定义智能体驱动的全球支付》。该报告系统阐述了“AI智能体”如何重塑B2B跨境支付全链路。传统模式下,企业财务需人工核验海外供应商账户、比对合同发票、择汇并承担T+2以上结算滞后期。该报告指出,AI智能体可自动提取多格式票据、匹配采购订单、基于企业需求推荐最优支付路由与换汇窗口、…
2026 世界人工智能大会(WAIC 2026)于 7 月 17 日正式开幕。作为全球人工智能领域的顶级盛会,本届大会以“智能伙伴 共创未来”为主题。阶跃星辰董事长、千里科技董事长印奇作为特邀嘉宾出席大会开幕式并在大会主论坛(上午场)发表主题演讲《当智能体进入物理世界》。回顾 15 年 AI 创业历程,他表示,AI 创业已从小众赛道成为全球重要共识。今天的…
From AI workflows to battery life and security, here's what it's really like to live with Vertu's luxury foldable every day.
AI 点评 · 奢侈品牌Vertu将AI助手定价6880美元,测试其性能能否匹配高端定位,看点在于AI功能能否支撑起
AI 点评 · Step AOS系统定义新交互范式,智能体原生设计或颠覆传统设备体验。
A curated list of tools, benchmarks, papers, and copy-paste configs for AI token costs: what tokens cost, where they get wasted, and how to cut the bill.
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments wi…
Large language models (LLMs) are increasingly used to automate data-processing workflows, yet coding agents typically produce scripts that are not automatically materialized as persistent, editable pl…

In this post, we walk through a few ways that Quick delivers on this promise. We cover the entire sales cycle, from identifying your highest-priority prospect, contacting them, wor…
AI 点评 · 亚马逊Quick将AI销售助手覆盖全流程,从筛选客户到沟通签约,真正实现销售智能化升级。
LLM powered multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, their advantages over single-agent systems (SAS) remain unclear, with performance varying inconsi…
State machine replication (SMR) and Byzantine fault-tolerant (BFT) consensus guarantee agreement despite a bounded number of arbitrary, colluding faulty participants. However, these guarantees rely on…

Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era.
AI 点评 · 极致软硬协同设计降低每token成本,让后训练阶段的智能性价比达到新高度,是智能体AI落地的关键指标
AI 点评 · AI智能体开发能力初显,但校验短板暴露了自动化落地的关键瓶颈。

IT之家 7 月 17 日消息,7 月 17 日,在 2026 世界人工智能大会(WAIC)上, 国家超算互联网 发布了科学计算智能体生态共创与开发者招募合作计划(以下简称“智能体共创计划”)。 该计划为期半年 ,通过面向高校科研院所、个人开发者及企业研发团队招募智能体、科研垂类模型、 MCP 工具 、Skill 等成果或合作意向,构建以国产超智融合算力为底…
36氪获悉,7月17日,2026世界人工智能大会暨人工智能全球治理高级别会议在上海启幕。连续九届参展的腾讯以“Hey,我的AI Buddy”为主题,集中展示AI在各领域进化为生产生活好搭档的跃进,与本届大会“智能伙伴 共创未来”的主题相契。
北电数智带来AI赋能民生的真实答卷
7月17日,2026世界人工智能大会在上海开场。作为36氪连续第三年深入WAIC现场的重要内容窗口,「氪话未来」直播间也在大会首日同步开启现场对话。 森博科技董事长于林义 在WAIC现场接受36氪「氪话未来」特邀专访,围绕企业级AI、智能体落地、行业know-how与业务闭环等话题,分享了森博从营销服务公司转向AI驱动科技服务公司的实践路径。 本届WAIC以…
人工智能正在进入一个新的产业周期。 过去一年,大模型能力持续演进,生成式AI、多模态交互、智能体等技术方向快速推进;而具身智能也从早期的技术探索阶段,逐渐步入产业验证的深水区,机器人开始成为人工智能与现实世界的重要载体。 市场率先给出了回应。据36氪研究院测算,中国具身智能市场规模已从2018年的2133亿元增长至2025年的9150亿元,2026年有望突破…

IT之家 7 月 17 日消息,2026 世界人工智能大会首日,千问推出两大硬件:千问 AI 眼镜将升级为智能体眼镜,千问首款 AI 智能体耳机也同步亮相。 据介绍,升级后的眼镜可通过智能体强化服务与决策能力,并能按需调用第三方 Skill 和 Agent。为了增强智能体眼镜对物理世界的感知与交互能力,千问推出 全双工语音、眼动追踪、体征监测 等一系列全新技…
AI 点评 · 阿里千问联手Bose,AI眼镜与耳机走向智能体时代,软硬协同创新值得关注。
36氪获悉,7月17日,在2026世界人工智能大会(WAIC)现场,支付宝与阶跃达成AI Agent系统级合作。双方围绕阶跃STEP-X原生AI终端展开深度协同,用户通过自然语言即可调用AI版支付宝“阿宝”连接真实服务,实现跨应用、多任务执行,推动智能体迈入“跨端互联办事”新阶段。
AI 点评 · AI终端与支付场景深度融合,开启跨应用多任务执行新纪元,实用性和商业价值显著。
36氪获悉,7月17日,WAIC2026期间,科大讯飞发布智能交互服务Agent——GuideX。区别于传统数字人,GuideX融合“全模态感知、自治理Agent、SkillHub”等核心能力,打通“感知、理解、执行、记忆、共情”服务全链路。
AI 点评 · 科大讯飞推出全模态感知Agent,突破传统数字人局限,引领智能服务新范式。

IT之家 7 月 17 日消息,今日, 在 2026 世界人工智能大会( WAIC )现场,支付宝与阶跃达成系统级合作,AI 版支付宝“阿宝”与阶跃大模型及其原生 AI 终端,可实现跨端互联。 未来,无论是与阶跃大模型对话,或在其原生 AI 终端上,都不用打开 App, 一句话就能向其自有智能体派活 ,再转交阿宝办妥,完成跨应用、多任务执行。 据官方透露,合…
AI 点评 · AI生态打通,跨应用多任务执行,开启无需打开App的智能生活新场景。
IT之家 7 月 17 日消息,2026 世界人工智能大会暨人工智能全球治理高级别会议主论坛今日在上海举行。会上,中国网信办会同有关方面正式提出《智能体互信互联互操作全球合作倡议》。 该倡议旨在释放智能体赋能可持续发展的潜力,防止形成智能鸿沟,凝聚各方共识,与全球伙伴共同打造开放、可信、安全、普惠的智能体生态。 智能体作为人工智能时代最具变革性的技术形态之一…
AI 点评 · 聚焦智能体生态的全球治理,推动开放互信,防范技术鸿沟,意义深远。
36氪获悉,7月17日,在2026世界人工智能大会(WAIC 2026)上,网易智企携全新升级的一站式企业AI应用服务亮相,集中展示AI Agent编排、AI Coding、AI客服、AI私域助理、AI智能数据与AI Agent安全等企业级AI能力,围绕安全治理、组织协作与业务增长三大场景,呈现企业级AI应用实践。
AI 点评 · 展示企业级AI全栈能力,聚焦安全治理与业务增长三大场景,为行业提供可落地的AI应用标杆。

IT之家 7 月 17 日消息,2026 世界人工智能大会(WAIC 2026)今天在上海举办,IT之家第一时间来到阶跃展台,看到了阶跃终端首款智能体手机 STEPX Neo,下面为大家带来现场实拍: 从现场实拍可以看到,这台手机目前戴着橙黄色的保护壳, 运行智能体原生系统 Step AOS 。其桌面 UI 采用近年来较为流行的圆角矩形图标,部分第三方应用的…
AI 点评 · 智能体手机首次深度联动办公App,展示了AI原生系统的落地可能。
Snapshot testing for LLM apps and agents, built to run locally and block regressions in CI.
Snapshot testing for LLM apps and agents, built to run locally and block regressions in CI.
AI 点评 · 百度AI新突破,智能体全家桶成WAIC焦点,展现技术实力与应用前景。

In this post, we walk through the three pillars that make this possible: simplified setup, smarter retrieval, and production readiness. We also show you code examples for setting u…
AI 点评 · 简化企业级AI搜索搭建流程,提升智能体知识库效率,降低开发门槛。
A persistent workspace for development work that self-improves and continues beyond one session.
AI 点评 · RISC-V架构在AI算力需求下获资本押注,智能体时代催生新硬件机遇。
Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit development, penetration testing, and CTF completio…
Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post-training remains unclear. We study vanilla Muon in sparse-reward agentic RL through match…
Despite strong capabilities in data understanding and decision-making, autonomous data science agents still heavily rely on trial-and-error workflows that involve expensive computation. This bottlenec…
Mobile graphical user interface (GUI) agents have demonstrated remarkable capabilities in automating complex tasks, yet they introduce critical safety risks where a single erroneous action can lead to…

This post covers what makes Grok 4.3 a great fit for agentic and enterprise workloads, how you access it through Amazon Bedrock, and how to use the capabilities most teams reach fo…
AI 点评 · Grok 4.3登陆AWS,为智能代理和企业场景带来新选择,看点在于云上部署的便捷性与性能优势。

Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed a…
AI 点评 · 54%企业已发生AI代理安全事故,但多数仍允许共享凭证,暴露安全管控严重滞后。
Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit development, penetration testing, and CTF completio…
AI 点评 · 成本感知评估揭示安全AI实用门槛,突破传统成功率局限,更贴近真实攻防场景。
Retrieval systems are trained and evaluated on a static idea of usefulness: hand a document and a question to a reader model, see whether the answer improves, and score the document accordingly. The i…
AI 点评 · 静态检索与多步智能搜索的因果效用脱节,挑战现有评估标准,值得关注。
Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy. Yet, quantitative evidence synthesis remains largely manual and difficu…
AI 点评 · AI自动化元分析系统,极大提升科研效率,降低人工成本,推动循证决策发展。
Large language models (LLMs) increasingly serve as high-level planners for embodied agents, where linguistically benign instructions can become unsafe once grounded in the physical world. We study whe…
AI 点评 · 探索大模型安全新维度,揭示文本安全与物理行动的鸿沟,为具身智能风险防控开辟新思路。

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the d…
AI 点评 · 企业AI信任缺失比检索问题更致命,多数公司却仍在错误方向投入资源修补。

Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that…
AI 点评 · 企业盲目放权AI代理却缺乏可信评估,暴露出部署与安全之间的严重脱节。
AI 点评 · 多智能体协作编程,突破单Agent局限,是AI自主开发的关键一步。
AI 点评 · 英伟达新嵌入模型登顶基准,加速智能体检索技术落地,AI搜索能力再升级。
AI 点评 · 聚焦Agent可靠性工程,为AI应用落地提供核心技术支撑。
DoorDash is opening a limited beta of dd-cli, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from the terminal, marking another…
AI 点评 · 命令行点外卖,AI代理可直接下单,开启餐饮服务新交互方式。
AI 点评 · AI测试自动化新范式,智能体驱动显著提升UI测试稳定性。
🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the sa…
Apache-2.0, model-agnostic macOS agent: bring your own model to deliver verified code, docs, slides, and computer actions.
Tool: Mermaid to Unicode box art (grok-mermaid) While exploring the codebase for the newly open-sourced Grok CLI coding agent I came across xai-grok-markdown/src/mermaid.rs , a "se…
AI 点评 · 将Mermaid图表转为Unicode字符画,适合终端环境,实用且有趣。
Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.
AI 点评 · 用AI每月处理百万分钟对话,挽回12%流失客户,汽车电商实现业务流程自动化升级。
字节跳动联合中兴努比亚打造的首款AI智能体手机(“豆包AI智能体手机”)今年将有多款机型发布,其中一款将于2026世界人工智能大会期间亮相,其整体备货约20万台,首批备货10万台以内,截至发稿中兴方面对此消息暂无回应。(界面)
AI 点评 · 字节联手品牌进军硬件,多款AI手机布局显示生态野心,值得关注市场反应。

IT之家 7 月 16 日消息,OpenAI 今天(7 月 16 日)携手 Work Louder,合作推出 kbd-1.0-codex-micro 键盘,售价为 230 美元(IT之家注:现汇率约合 1560 元人民币)。 IT之家翻译产品官方描述如下: kbd-1.0-codex-micro 键盘采用 Work Louder 设计理念,实现 AI 智能体…
AI 点评 · OpenAI跨界做硬件,AI专用键盘或将重塑人机交互方式。
Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

IT之家 7 月 16 日消息,马斯克旗下 SpaceXAI 公司昨日(7 月 15 日)宣布开源 Grok Build, 并将源代码发布至 GitHub 平台。 在官方博文中,SpaceXAI 表示: 开源发布源代码,是构建强大、可靠框架的最直接方法。用户可以阅读源代码,了解其从上下文构建到工具调用分发的完整工作原理。 开源也让框架更容易探索和扩展:如果用…
AI 点评 · 开源代码降低使用门槛,推动编程AI智能体技术快速迭代,值得开发者关注。

Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying mo…
AI 点评 · 企业AI部署的瓶颈不在平台,而在于将聊天机器人误称为智能体的认知错位。
AI 点评 · 用Agent手机概念展示商业落地能力,为IPO估值注入强心剂。
Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seeking agents. However, as interaction histories grow, agents increasingly struggle to t…
Large language models are increasingly trained as interactive agents for long-horizon tasks involving multi-turn interaction, tool use, and environment feedback. Outcome-based reinforcement learning (…
Skills are a useful abstraction for software agents, turning human and agent experience into reusable procedural knowledge. Yet existing skill libraries are mostly hand-written, text-centric, or deriv…
We study on-policy distillation (OPD) for agentic tasks, where an LLM agent interacts with an environment over multiple turns and a student imitates a teacher over these multi-turn interaction histori…
OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding a…
AI 点评 · 硬件纠纷未平却推高价键盘,OpenAI跨界硬件野心与Codex生态绑定值得关注。

Built partnered with the AWS Generative AI Innovation Center (GenAIIC), AWS Partner AND Digital, and AWS account teams to create a scalable, AI-powered document processing engine t…
AI 点评 · AI与云服务结合,重塑房地产金融文档处理,效率与准确性双提升。

In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make intelligent d…
AI 点评 · 亚马逊Bedrock配合MCP服务器,打通视觉智能关键环节,实用方案值得开发者关注。
AI 点评 · 从实战中总结的智能体构建经验,为AI应用开发提供宝贵参考。
Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While p…
Most reported gains from agent-optimization methods are one-shot: an agent is optimized against a fixed benchmark and the resulting improvement is reported as if it were a stable property of the metho…
The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms. As AI evolves from passive recommendation algorithms to autonomous, goal-direc…
Multi-turn agents solve complex tasks through extended sequences of tool interactions before producing a final answer, making credit assignment a fundamental challenge during post-training. Outcome re…

The Codex Micro is designed to monitor multiple agentic threads at a glance.
Hey HN, we’re Nitish and Prateek, the founders of Coasty ( https://coasty.ai/computer-use ). We’re building computer-use agents that can complete workflows inside legacy desktop so…
Hey HN, we’re Nitish and Prateek, the founders of Coasty ( https://coasty.ai/computer-use ). We’re building computer-use agents that can complete workflows inside legacy desktop so…

IT之家 7 月 15 日消息,努比亚手机官方今日公布了旗下全球首款 AI 智能体手机的局部外观,新机将在 WAIC 2026 正式亮相。 预热图显示,努比亚全球首款 AI 智能体手机提供了一款淡粉配色,后盖中央印有“nubia”的字样,手机底部是扬声器开孔、USB-C 接口和 SIM 卡槽。遗憾的是,手机上端的摄像头模组被遮挡了,无法看见具体样式。 不过,…
OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn
The guy behind TCP/IP is working on a standard for identifying AI agents in the wild.
大公司: 美团、青桔、哈啰共享单车调价 近期,美团单车、滴滴青桔、哈啰单车相继在北京等多个城市上调计费规则,三大平台不约而同地采取了“提高起步定价、拉长基础骑行时长”的组合策略:起步价从此前的1.5元/30分钟左右,普遍调整为1.88元至1.99元/60分钟。这成为共享单车行业近年来较大范围的一次集体调价。(金融时报) 瓜子二手车线下直卖场首店今日正式开业…
作者 | 王晗玉 编辑 | 张帆 支付宝首页调出AI界面,对话框取代了密密麻麻的小程序;用户对着“阿宝”说一句“找附近的奶茶优惠券”,周边门店的活动自动匹配好,核销下单一步完成。 最近,支付宝完成了上线22年来最大一次改版。 本月初,AI版支付宝“阿宝”正式开启全量公测,几乎同一时间,微信支付“AI专属卡”也在智能体WorkBuddy中落地。 进入2026年…
An intentionally vulnerable OWASP LLM Top 10 training platform for AI Security, Prompt Injection, RAG Security, Agent Security, and GenAI penetration testing.
Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.
作者 | 乔钰杰 编辑 | 袁斯来 硬氪获悉,上海追知工程科技有限公司(以下简称“追知工科”)近日完成数千万元种子轮融资,由L2F光源创业者基金、尚融资本、一村资本联合投资。本轮融资将主要用于核心产品研发、团队建设及市场拓展。 追知工科成立于2024年2月,是一家 聚焦垂域工业智能体 的科技企业,同时也是上海交通大学成果转化企业、上海人工智能研究院战略孵化企…

At this year's AIE World’s Fair, AI engineering entered a new phase: building systems around agents, rather than just building with agents.
As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes critical. However, current evaluation pipelines remain highly fragmented and tight…
OpenClaw has emerged as a leading agent framework for complex task automation, yet it faces insufficient cross-platform GUI interaction support and a well-built self-evolution mechanism. These flaws l…
Embodied cognition requires agents to connect high-level task reasoning with the physical states to be achieved. We introduce Hy-Embodied-RxBrain, an embodied cognition foundation model with joint lan…
Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized LLMs that cover these use cases together remain limited. A healthcare model must handle patient co…
Agentic language models must learn when to call tools, when to consume tool responses, and when to answer directly. This makes multi-teacher on-policy distillation a natural training strategy: one tea…
Large language models are increasingly deployed as agents, but reliable agentic behavior requires more than next-token prediction. At inference time, it is preferred that an agent can decide whether t…
Agentic Misalignment in Summer 2026 Alignment Science Blog

This post shows how Thrad.ai deployed a multi-agent system with Strands Agents and Amazon Bedrock AgentCore that automates the pipeline from prospect discovery through personalized…
AI 点评 · 多智能体协同与云平台结合,实现从线索挖掘到个性化服务的全流程自动化。
董事长印奇称“未来的OS一定是跨端的”
AI 点评 · 多模态Agent时代,阶跃以跨端OS切入,或将重塑AI生态格局。
Large language model (LLM) agents increasingly automate multi-step engineering and informatics workflows, yet they rarely ask how much effort a task actually requires. They often follow a maximum-cont…
Training robust autonomous driving agents requires a simulator that is fast enough for reinforcement learning at scale, realistic enough to ground behavior in real-world map structure, and diverse eno…
Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next action. Most agent sys…

In this post, we extend that foundation to demonstrate how QA Studio addresses batch regression testing and pipeline integration through test suites that organize and parallelize e…
AI 点评 · 用Amazon Nova Act实现智能体自动化测试,大幅提升批量回归效率与流水线集成能力。
AI 点评 · 从数据到行动,Snowflake AI让企业自主决策,工作效率将被彻底重塑。
Hey HN, we’re Shubham & Parth, childhood friends building Agnost AI ( https://agnost.ai ), product analytics for teams building chat and voice agents. We read production conversati…
大公司: 中国神华:预计上半年净利润同比增长6.9%-21.1% 36氪获悉,中国神华公告,预计2026年上半年归属于上市公司股东的净利润为263亿元至298亿元,同比增长6.9%-21.1%。业绩变动主要系煤化工业务量及自有铁路、港口、航运业务量增加,带动相关业务利润同比增长。 中国人寿:预计上半年净利润同比增长约215%-235% 36氪获悉,中国人寿公…
凌晨三点,一家刚成立不久的AI创业公司,可能已经在同时服务旧金山的客户、采购首尔的技术服务,并与拉各斯的合作伙伴签下合同。这家公司甚至还没有招到第一名全职财务人员,业务却已经跨越多个市场、币种和监管辖区。 AI正在让这样的创业路径成为可能。过去需要市场、运营、客服等一整套全球化团队才能完成的工作,现在借助智能体就能承担相当一部分。新一代初创企业不必再按照“先…
Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.
Markdown-defined provider-backed agents and deterministic workflows for ACP runtimes.
Open-source app builder engine — intent to working app
Open-source app builder engine — intent to working app
Agent携上百个Skills助我当大导演
I built FixBugs, an agent that ingests the rich context surrounding production bugs to reproduce them in a sandbox and generate verified fixes. It's available in the form of a self…
The company is raising at least $75 million, led by Robot Ventures, with significant participation from USV and other prominent investors.
Coding agents must integrate external tool returns into ongoing reasoning - a capability that standard left-to-right pretraining on code exposes only in its forward direction. We observe that the acti…
AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide limited guidance on which will perform best in real-world targets. Existing evaluatio…
Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation, from experience with minimal or even no human input…
Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next action. Most agent sys…
Failure attribution for LLM-based agentic systems, i.e., identifying which steps in a failure trajectory caused the task to fail, is critical for debugging and improving these systems. Existing approa…
The capability of a modern AI agent depends not only on its foundation model but also on its harness, which constructs prompts, manages state, invokes tools, and coordinates execution. As models, APIs…
Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to their deceptive visual structures and distorted data representations. We present ChartCyni…
We revisit the evaluation of automatic harness evolution for LLM agents. Existing harness evolution methods use unit test cases to search for harness configurations and then report final performance o…
Code review helps maintain software quality before code integration, but it also imposes a substantial workload on human reviewers. As generative artificial intelligence becomes part of software devel…
Building assistants that can continually watch the world, remember what they see, and reason over their accumulated experience is a long-standing goal, and recently multimodal agents equipped with lon…

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.
AI 点评 · Meta开源编程Agent模型,从免费转向低价商业模式,标志AI编程工具商业化加速。
AI 点评 · 用AI改造经典玩具,Strands Agents让互动鱼挂件有了新玩法。

In this post, we describe how Bluesight used two AWS engagements and Amazon Bedrock AgentCore to evolve from a single-product AI prototype to Prism, a unified agentic AI solution s…
AI 点评 · Bluesight借助亚马逊Bedrock将AI原型升级为统一代理系统,展示了企业级AI落地的实战路

Building multi-tenant agents with Amazon Bedrock AgentCore and Apply fine-grained access control with Bedrock AgentCore Gateway interceptors establish the conceptual foundation for…
AI 点评 · 用Bedrock实现多租户代理的细粒度权限控制,解决了真实业务场景中的访问隔离难题。
We introduce MM-ToolSandBox, a benchmark and evaluation framework for visually grounded tool-calling agents. The framework provides a stateful execution environment spanning 500+ tools across 16 appli…
Shared meaning in language requires people to learn and agree on categories. We ask how characteristics of agents' memories change the emergence and evolution of shared meaning. Without a coordination…
出自中国团队

"Context bombing" tricks hacking agents into shutting down before they can do harm.
AI 点评 · Agent让可观测性从被动发现问题转向主动修复,这是运维智能化的关键跃迁。
同时发布CPU原生液冷整机柜、多模融合超节点
Observable diagnostics, failure attribution, metrics, and no-key replay for multi-agent runtimes.
A visual benchmark testing whether leading coding agents repeat the same design patterns across 100 neutral website briefs.
A visual benchmark testing whether leading coding agents repeat the same design patterns across 100 neutral website briefs.
Exploration is essential for reliable autonomy in multi-agent systems, yet it remains unclear whether large language model (LLM) agents can explore effectively when interacting with one another. We sh…

IT之家 7 月 13 日消息,由中国互联网协会网民权益和个人信息保护工作委员会主办的 2026(第二十五届)中国互联网大会网民权益和个人信息保护论坛于 7 月 9 日在京举办。 中国互联网协会移动互联网工作委员会和中国互联网协会网民权益和个人信息保护工作委员联合发布《智能体个人信息保护自律公约》,现场来自 百度、腾讯、阿里、火山引擎 等 31 家互联网企业…
AI 点评 · 科技巨头联合签署,为AI智能体划清数据安全红线,行业自律迈出关键一步。
Run many Claude Code (or Codex) sessions in parallel — across every project — from one screen. Local-first, git-worktree-isolated tasks, no API key.
LLM-based coding agents have significantly advanced automated software issue resolution, yet they remain highly prone to factual errors caused by insufficient repository understanding. Recent methods…
We introduce a vocabulary for automated research systems built from one or more agents to make their design choices easier to describe and compare. The vocabulary specifies 1) who the agents are, 2) w…
Hello HN, I don't post on here much, but wanted to get some eyes on a new project I'm just launching. I think we definitely need one more AI code agent.. I'm a long-term C++ dev, a…
AI 点评 · 生产级AI代理迁移至GPT-5.6,实现速度翻倍且成本降低27%,性能与成本平衡的行业标杆。

IT之家 7 月 12 日消息,Meta 于 7 月 9 日正式发布适用于 AI 智能体的多模态推理模型 Muse Spark 1.1 版本,重点提升了模型在智能体任务中的规划、协同与执行能力,并增强了工具调用、代码开发、应用操作能力。 Meta 表示,Muse Spark 1.1 强化了多智能体协作机制,由主智能体负责收集信息、制定计划,再将任务拆分并分配…
AI 点评 · 多智能体协作机制是AI落地的关键突破,Meta这次强化了任务拆解与分工能力。
Source-available, self-hosted AI agent workspace for small businesses and lean teams — with BYOK, workflows, tools, and human approvals.
Self-hosted web viewer for Claude Code session transcripts — read, search, replay, and audit every session you have ever run
AI 点评 · 3D可视化编码过程,直观追踪AI代理如何理解代码库,革新调试与协作方式。
Large language model (LLM) agents are beginning to automate machine learning engineering (MLE) by coupling planning, code execution, debugging, and empirical feedback. Translating this capability to m…
AI 点评 · AI自主管理引发代理控制权归属的核心争议。
36氪独家获悉,7月11日,智谱创始人唐杰,在智谱发布了主题为《巨浪已来》的内部信。其中提到,智谱将不追求短期的应用变现,而是直指AGI的下一个高地:长程任务能力、完全自治的智能体系统、自我进化、极致安全治理。过去半年来,智谱收获了创立以来的高光时刻:市值较半年前上市初期涨了10倍,并在2026年 6月,跻身“万亿港元俱乐部”。
AI 点评 · 聚焦AGI核心突破而非短期变现,揭示智谱从估值飙升到技术深水区的战略转型。
Recent VLM and VLA systems have improved robotic perception and action prediction, yet long-horizon embodied agents still require a general runtime layer for reasoning, memory, tool use, verification,…
AI 点评 · K8s动态配置新实践,Airbnb开源方案揭示云原生服务治理前沿。
7月11日,有消息称腾讯正在洽谈成为通用AI Agent公司Manus的最大股东,据该消息,由腾讯牵头的中方资本组团以约20亿美元估值从Meta手中回购Manus的全部股权。记者向腾讯方面求证,截至发稿腾讯方面暂无回应。另有知情人士向记者透露,此次交易后,腾讯仍将保持少数股东地位,但不会控股。(南方都市报)
AI 点评 · 腾讯罕见以少数股东身份入局AI Agent,或意在布局生态而非控制,战略意图值得玩味。
神话级大模型驾驭宝典
AI 点评 · 突破性验证了超大模型在复杂推理任务中的协同能力,或开启AI解决数学难题新纪元。
今日热点导览 “全球首款智能体手机”已备货8万至10万台?知情人士:假的 百亿私募数量达142家,再次刷新历史纪录 三星李在镕拟于7月底赴美会晤英伟达黄仁勋 德国大众拟大裁员,最高或裁减12万个岗位 OpenAI高管层再现变动,首席运营官因病离职 TOP3大新闻 长鑫科技,承销团阵容公布 长鑫科技IPO进入发行倒计时,这家“国产存储第一股”背后的承销团阵容也…
AI 点评 · 国产存储芯片龙头IPO加速,承销团阵容披露凸显市场关注热度。
Agentic retrieval-augmented generation (RAG) extends static RAG by allowing language models to iteratively reason, generate search queries, retrieve evidence, and predict answers. However, it remains…
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and adaptive security testi…
AI 点评 · 用AI代理自动挖掘物联网漏洞,突破传统测试瓶颈,提升安全检测效率。
We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Question Answering (EMM-QA). Quanta evaluates multimodal quizbowl systems that answer pyr…
AI 点评 · 置信度校准与增量推理结合,为多模态问答提供高效新思路,技术方案值得关注。
Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse expert models and tools. However, existing frameworks typically call APIs based on…
AI 点评 · 用拍卖机制分配任务,提升大模型推理效率,为多智能体协作提供新思路。
The proliferation of agentic AI systems across enterprise and public-sector contexts has outpaced the capacity of general-purpose AI risk frameworks to classify and govern them. In this paper, we intr…
AI 点评 · 首个针对企业内部AI代理系统的分级风控框架,填补了通用框架在代理型AI治理上的空白。
IT之家 7 月 10 日消息,SK 海力士今日在纳斯达克挂牌交易其美国存托凭证(ADR)。随后,SK 集团会长崔泰源接受了彭博社与 CNBC 的采访。 IT之家注意到,崔泰源表示,在人工智能时代,内存行业已进入结构性增长阶段。 过去,内存的需求主要取决于人口数量或是智能手机和个人电脑的销量。 然而,随着 AI 智能体、推理过程中产生的键值缓存(KV Cac…
AI 点评 · AI引爆内存需求结构性变革,产能翻倍仍供不应求,预示行业进入长期高景气。
Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.

In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on A…
AI 点评 · 企业级AI与知识图谱深度结合,打通数据语义理解到智能决策的完整链路,值得关注。
AI 点评 · Agent将可观测性从被动诊断转向主动干预,颠覆传统运维思路。

In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in…
AI 点评 · 结合案例管理与智能自动化,提升企业复杂任务处理效率,降低人工干预成本。

Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running ent…
AI 点评 · KTern.AI用亚马逊Bedrock实现SAP多智能体协作,展示企业级AI落地新路径。
Waku Waku! Waku agent is your personal AI agent, on your own laptop, in code you can read in an afternoon — harness + loop + memory + eval
AI 点评 · AI智能体面临安全风险时,企业的核心防线是人机协同和伦理规范。
🎨 Open-source AI slide studio inside Codex: image-native decks, every slide a full visual canvas. ⚡ 10+ high-quality slides in ~4–5 minutes — Fast mode renders…
agent时代来了
A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书:教程、真实工作流、Skills、MCP、自动化与多智能体实践。
OpenAI 发布 GPT-5.6 系列模型等,SpaceXAI 发布编程智能体模型 Grok 4.5。 查看全文
AI 点评 · 大模型竞速加剧,头部企业密集发布新品,技术迭代与市场格局值得追踪。

“IT早报”时间,大家好,现在是 2026 年 7 月 10 日星期五,今天的重要科技资讯有: 1、OpenAI 最强 AI 模型:GPT-5.6 系列正式上线,纳德拉称微软 Copilot 同步接入 OpenAI 公司 7 月 10 日发布公告,宣布在 ChatGPT(聊天机器人)、Codex(主打编程 AI Agent,目前朝通用 Agent 方向)以及…
AI 点评 · OpenAI模型重大升级,微软深度整合,预示AI竞争进入新阶段。

IT之家 7 月 10 日消息,在接受 CNBC 采访时,OpenAI 首席执行官萨姆 · 奥尔特曼(Sam Altman)表示,在 AI 智能体编程任务中, GPT-5.6 Sol 模型表现比市场主流竞争模型“一样好,甚至更好”,但 Tokens 效率提高 54%。 IT之家注:原文中并未具体指名市场主流竞争模型,不过鉴于 GPT-5.6 Sol 模型的定…
AI 点评 · 性能飞跃与成本降低同步实现,这项突破将加速AI应用落地。

IT之家 7 月 10 日消息,OpenAI 今天(7 月 10 日)发布博文,在宣布推出 GPT-5.6 系列 AI 模型的同时,还推出全新的 ChatGPT Work 智能体, 由 GPT-5.6 提供支持,定位为可承担长时、多步骤任务的智能体。 在博文中,OpenAI 披露了 Codex 的现有使用规模:官方数据显示,Codex 每周用户数已超过 50…
AI 点评 · GPT-5.6加持的Work智能体,标志着AI从对话迈向长周期复杂任务自主执行。

IT之家 7 月 10 日消息,OpenAI 公司今天(7 月 10 日)发布公告, 宣布在 ChatGPT(聊天机器人)、Codex(主打编程 AI Agent,目前朝通用 Agent 方向)以及 API 中上线 GPT-5.6 系列模型。 在模型方面,IT之家援引博文介绍,OpenAI 本次共发布 3 档模型: 旗舰版 Sol(太阳):每 100 万 T…
AI 点评 · 微软同步接入,意味着AI竞争格局突变,企业级应用迎来新拐点。
Lyzr, a startup that builds AI agents for enterprises, used its own AI agent to raise a $100 million round — proof, evidently, that the product actually works.
AI 点评 · AI代理成功完成融资,证明企业级产品真实可用,开创行业先河。
OpenAI is sunsetting its AI-powered browser after less than a year. But it's moving some agentic browsing features to its desktop app and a Chrome extension.
AI 点评 · 关闭自研浏览器,但将核心功能整合进桌面端和插件,表明战略收缩而非放弃。
Meta's pitch to users is Spark's ability to handle large agentic workloads, fix bugs, and help with large code migrations — the kind of automation that enterprises are increasingly…
AI 点评 · Meta携Spark 1.1切入企业级AI编码自动化,专注大型代码迁移和修复,展现巨头竞争新方向。
AI 点评 · AI从单轮对话迈向多智能体协作,预示人机协同新范式即将到来。
Introducing Muse Spark 1.1 Following Muse Spark in April , here's Muse Spark 1.1 - the first Spark model to offer an API. Meta claim significant improvements in agentic tool callin…
Hey HN! We built a browser-based agent that runs inside an authenticated web app, watches how the app calls its own APIs, and automatically turns those into agent tools. You can th…
Hi Hacker News, I’m Yahia. I built Context.dev ( https://www.context.dev/ ) to make it really easy to integrate web data into your products and agents. Here’s a demo video: https:/…
AI 点评 · 让任意网页变成结构化API,极大降低AI应用获取实时网络数据的门槛。
ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.
AI 点评 · ChatGPT从对话助手跃升为跨应用自主执行任务的智能代理,标志AI进入主动工作阶段。
Fully local vulnerability research pipeline - 14B code-specialized LLM reviews every source file exhaustively.
Evaluate & benchmark AI coding agents and Claude Code skills — sandboxed, reproducible YAML eval suites for Claude Code, Codex & Gemini, with A/B experiments an…
Notion 推出全新应用 Agents、Jolla Phone (2026) 手机正式发售等。 查看全文

2 years after our first coverage, we return with Modal's other cofounder to explore why Agent Experience is working now, and everything they have learned building the new agent clo…

IT之家 7 月 9 日消息,SpaceXAI 今日正式发布了其 Grok 4.5 模型,这是该公司首个专门针对编程和智能体任务训练的模型。 据介绍,该模型由 SpaceXAI 与 Cursor 联合完成训练,在提供前沿智能水平的同时,兼具领先的速度与成本效率。马斯克将其称为“Opus 级模型”。 Grok 4.5 面向真实工程场景设计,擅长处理大型代码库以…
AI 点评 · 编程智能体成本砍半效率翻倍,马斯克联手Cursor的定价策略才真值得行业关注。
In long-horizon tasks, decision-relevant state is often scattered across an expanding trajectory, while the action agent must surface it and act. As trajectories grow, task requirements, environment f…
The rapid development of large language models and multimodal large language models has accelerated the emergence of proactive agents capable of operating everyday tools and assisting users in real-wo…
Large language models (LLMs) increasingly act as integrated data-science agents, combining abstract reasoning with advanced tool use. Yet the relevant benchmark landscape largely divides into symbolic…
AI agents have become capable of autonomously completing short, well-specified tasks. However, existing terminal benchmarks largely focus on simple problems that finish within minutes and are evaluate…
Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending entities, post-cutof…
A general-purpose Python framework for building LLM agents and multi-agent systems. "Four lines of code, an agent with memory."
The optimization of long-horizon agents increasingly relies on reflection-based mechanisms, where a large language model (LLM) acts as an optimizer to diagnose agent failures and improve agent policie…
Analytical workloads operating on data stored in external database systems face a fundamental bottleneck: data access is guarded entirely by the database driver, like JDBC or ODBC, forcing all reads t…
We introduce institutional red-teaming, an evaluation methodology for testing deployment rules in multi-agent AI: hold the agents, objectives, and task state fixed, vary only one rule, and attribute t…
I am done with articles stating "I used this LLM to do that", or "Look, this agent did that in 2 minutes!". I want content more user-centric, less openai / anthropic, and more "hum…
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable,…
Autonomous AI agents can execute complex tasks with limited human review, yet they often lack the grounded operational knowledge to make their outputs not just executable but correct, secure, and main…
AI 点评 · 数据驱动智能体的新范式,预示AI自主决策能力将迎来关键突破。
Founded in 2024, Prime Intellect’s goal is to give organizations capabilities to train their own agentic systems without relying on frontier AI labs.

Short chart specifications are easy to write, but often produce uninspiring results. Flint is an open-source visualization language that offers a middle path, letting AI agents cre…

NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tun…
The SQLite of agent sandboxes — self-hosted, E2B-compatible. One machine, sandboxes that live forever, idle costs nothing.
A smarter, self-hosted AI assistant — multi-user, multi-agent.
7月7日,易居(中国)控股有限公司董事局主席、总裁周忻再一次来到台前,给公司的AI产品站台,推出其核心战略产品“地产模数通——企业专属大模型一体机”。同时,克而瑞地产AI分析师“小瑞”正式上岗。 不到两个月前,易居旗下的深度智联刚刚发布了全球首个房地产经纪人智能体“易居·小新”,用中立无佣模式替代传统中介。迹象显示,深度智联在加速AI产品落地。 周忻说,地产…
文|胡香赟 编辑|海若镜 36 氪获悉,德睿智药近期已完成 5200 万美元B轮融资,投资方包括头部人民币和美元基金,凯乘资本为独家财务顾问。募集资金将用于AI制药引擎Molecule Arts Platform(MAP)升级迭代,完善其多智能体(Multi-Agent)协同体系与临床数据闭环(Clinical Data-in-the-Loop),以及推进自…
Reinforcement learning (RL) is becoming increasingly important for post-training large language models (LLMs). Previous RL pipelines for LLMs were mostly synchronous and batch-interleaved, which is in…
Modern LLMs are increasingly deployed in long-context applications such as retrieval-augmented generation, repository-level coding, and agentic workflows whose accumulated reasoning and tool traces ro…
Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks predominantly reward realism, and recent methods have optimized accordingly, leaving…
The optimization of long-horizon agents increasingly relies on reflection-based mechanisms, where a large language model (LLM) acts as an optimizer to diagnose agent failures and improve agent policie…
Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning relies on fixed teacher-distilled trajectories, while sparse-reward reinforcement learning…
AI 点评 · AI自主决策CDN资源分配,标志内容分发网络从服务人类转向服务AI。
AI 点评 · 开源工具节省半数token,显著提升AI处理Word文档效率,开发者可快速集成。
In this post, we walk through how multi-dataset Topics work, explain how the chat agent uses defined relationships to generate cross-dataset queries, and demonstrate an end-to-end…
AI 点评 · 跨数据集统一语义层,让非技术用户也能自然语言查询,大幅降低数据分析门槛。
Large language model (LLM) agents solving multi-step tasks frequently commit to trajectories that are doomed to fail, yet continue to consume substantial inference compute before the failure becomes o…

This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on Agent…
AI 点评 · 无服务器图像编辑结合自然语言指令,大幅降低AI应用门槛,展示Bedrock AgentCore的实用
The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carbon emissions. However, researchers of distributed generation control are mainly foc…

In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through t…
AI 点评 · 用AgentCore快速搭建运维助手,降低AI应用开发门槛。

In this post, we show how AWS Finance used chat agents and Flows in Amazin Quick to transform two of their most time-consuming workflows.

Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path…

With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution…
Local-first AI agents with governed, approval-gated memory. Any model provider; MCP tools and web search built in. Nothing remembered without your say-so, nothi…

... government of the people, by the people, for the people ... — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost rough…

We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
Cognitive-structured Multimodal Agent (CMA-Harness): a memory-centric agent for long-horizon multimodal understanding, generation, and editing — externalizing v…
GitHubStar-history 最近Openclaw以25.2万星标,超越Meta的React登顶GitHub开源项目历史第一! 要知道React是Facebook(现改名Meta)打造的经典前端框架,过去十余年间,互联网上绝大多数我们熟知的网站与App,底层技术架构皆由它构筑。Openclaw官方更是高调发文嘲讽Meta“我们在迭代创新,而你只在办会…
Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory
An AI agent carried out the technical execution of a real-world ransomware attack for the first known time, but new details show a human still chose the victim, set up the infrastr…
The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.
Coding agents increasingly generate pull requests (PRs) for real-world software issues, yet one-shot PR generation remains open-loop: the PR is proposed without systematic review, diagnosis, or revisi…
Embodied navigation aims to build agents that interpret multimodal goals, reason in 3D space, and reach target destinations reliably in the real world. However, progress remains constrained by the lac…
On-policy distillation (OPD) trains a student policy by matching a stronger teacher on the student's own trajectories, offering a promising framework for language agent training. However, its applicat…
We present AgentLens, a production-assessed benchmark for interactive code agents. Most code-agent benchmarks reduce a run to a single bit -- did the task pass? -- but the people who actually use thes…
Interactive simulators have become powerful tools for training embodied agents and generating synthetic visual data, but existing photorealistic simulators suffer from limited generality, programmabil…
Autonomous negotiation agents are increasingly deployed in high-stakes settings such as insurance and procurement. While cryptographic techniques protect explicitly disclosed constraint values, they f…
"The reality is, when you're optimizing for production, you start looking at a price/performance," Guillermo Rauch tells TechCrunch.
AI 点评 · 模型与代理分离是AI落地的关键一步,Vercel CEO的实战视角揭示了成本与性能的平衡之道。
Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending entities, post-cutof…
Long-horizon agentic LLMs are increasingly limited by finite context windows, as extended interaction trajectories can exceed the maximum context length before a task is completed. Context compaction…
While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle with long-horizon tasks due to their Markovian nature-relying solely on current obs…
Personal agents are becoming persistent user-owned intermediaries: they remember preferences, filter platform-mediated information, use tools, and negotiate with services. Existing benchmarks evaluate…
We propose OptiAgent, a multi-agent framework that, given a natural language description of an Operations Research problem, is able to output a solver-ready mathematical formulation as well as executa…
Zero-dependency browser video editor that AI agents can drive — JSON timeline, MCP + REST, live-reloading UI
Zero-dependency browser video editor that AI agents can drive — JSON timeline, MCP + REST, live-reloading UI
✨ The agentic motion layer — an open-source, chat-native motion engine. Describe the feeling; your AI ships the animation.
✨ The agentic motion layer — an open-source, chat-native motion engine. Describe the feeling; your AI ships the animation.
文|吴思瑾 编辑|邓咏仪 01 一句话介绍 北京治真治合科技有限公司成立于2024年,旗下产品「APTSell」(AI Power To Sales��希望成为AI版的CSO (Chief Sales Officer,首席销售官)。 简单来说,APTSell是一个组合式Agent,通过整合与可视化销售全流程数据,生成管理决策和执行建议,以期正向促进销售效率和…
阿里禁用 Claude 模型 索尼调整计划,2028 年前发售游戏可继续生产光盘 千问、豆包将下线智能体功能 Android 反垄断案欧洲终审败诉 混动车、商用纯电车将不再免征车船税 电商法修正案征求意见 看看就行的小道消息 少数派的近期动态 你可能错过的好文章 查看全文
Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LO…
For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems combine interpretable robot programming with the open-world adaptability of model-f…
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interactions. Whereas single-player world models treat the other agents as part of the envir…
Agentic video understanding equips models with long-term memory to autonomously process and respond to continuous, long-horizon multimodal streams. However, advanced video agents often rely on ``detec…
The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, aut…
50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM a…
Vibe-Research: Your Personal Trading Research Agent · A股/美股/港股 的个人投研 Agent:每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录。Vibe-Research 把数据和功能配齐,由你自己的 AI 驱动投资研究。
Search knowledge by what documents mean and how they look — not one or the other.
Recent advances in multimodal foundation models and agent systems have driven GUI agents from single-platform task execution toward cross-platform interaction. However, building multi-platform GUI age…
Attention is your scarcest resource. Chief is the local-first layer that guards it — turning every agent, alert, and feed into one honest call: interrupt, or no…
AI 点评 · 孤岛编码实验揭示AI自主编程的进化路径。
Control plane for AI coding agents: route tasks, reduce token spend, run multi-agent workflows, fallback executors, and track cost per task.
LLM agents increasingly perform autonomous actions through external tools, leading to complex and evolving safety risks. However, existing safety testing targets expert-designed safety violations, and…
AI 点评 · 企业需建立AI员工管理规则,确保硅基团队高效合规运作。
AI 点评 · Agent正突破编程边界,重塑各行各业工作流程,预示AI自主执行任务的未来。
The open-source AI workbench for scientific research

IT之家 7 月 3 日消息,豆包今晚发布《豆包智能体功能下线通知》,称由于产品功能调整, 智能体功能将于 2026 年 7 月 15 日下线 。 《通知》显示,该功能下线后,用户仍可在一段时间内查看并自行保存智能体信息及历史对话数据。2026 年 10 月 15 日后,豆包将根据《隐私政策》对智能体相关数据进行处理, 后续将无法在豆包内查看或恢复 。如有重…
AI 点评 · 产品功能调整背后,需关注用户数据迁移与隐私政策变化对AI服务稳定性的影响。
Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tau…
Open Science is an open-source, local-first, model-agnostic AI research workbench for scientific discovery.
At an internal meeting, the Meta CEO reportedly said that AI development efforts were not moving as quickly as anticipated.

IT之家 7 月 3 日消息,据《商业内幕》今天报道,Meta 首席执行官马克 · 扎克伯格在上周四的一场内部全员会中表示,公司仍在努力实现“超级智能”(Superintelligence),但目前还需要投入更多时间和精力。 据两位参会人士透露,扎克伯格表示,Meta 正在向人工智能领域投入大量资源, 但 AI Agent(IT之家注:AI 智能体)技术的发…
AI 点评 · 行业领袖坦言进度不及预期,揭示AI智能体落地瓶颈,值得关注其实际挑战与未来方向。
Academic output is produced across a fragmented toolchain: literature discovery in one application, reference management in another, writing in a LaTeX editor, formatting against venue templates by ha…
While skill optimization for autonomous agents has gained traction, existing methods rely on complex pipelines. This leaves a fundamental question unaddressed: What constitutes a minimal viable pipeli…
Embodied agents are typically built as hand-designed compositions of perception, memory, planning, and action modules. This modularity exposes a large architectural design space, but current systems s…
Release: llm-coding-agent 0.1a0 Another Fable 5 experiment. Now that my LLM library has evolved into more of an agent framework it's time to see what a simple coding agent would lo…
AI 点评 · 首个开源LLM编程代理框架,简化代码生成与迭代流程,开发者可快速上手实验。
Research: Using DSPy to evaluate and improve Datasette Agent's SQL system prompts One of this morning's AIE keynotes covered dspy , which reminded me I've been meaning to see if it…
AI 点评 · 用DSPy自动优化SQL提示词,展示了AI系统自我迭代的实用方法。
As AI coding agents become more autonomous, they increasingly ship code iteratively, with the codebase persisting across sessions. This persistence creates a new attack surface: a misaligned or prompt…
LLM agents will increasingly act in socially structured settings where role, audience, and relational context can shape what is advantageous or costly to say. We study whether such social structure, w…
Realistic traffic simulation requires agents that imitate logged behavior and can also be steered along interpretable axes. Such controllability enables engineers to isolate variables, reproduce speci…
autonomous red teaming platform; multi-agent offensive-security meta-harness
AI 点评 · Agent热潮背后,技术与商业脱节是落地难的核心痛点。
AI 点评 · 用微虚拟机隔离智能体,提升了云计算安全性与灵活性。
AI 点评 · 出行货运率先落地,行业智能体正从概念走向实际应用。
AI 点评 · AI Agent自动生成热补丁,大幅提升系统修复效率与安全性。
Coding agents don't have long-term memory. But you do have months of full-fidelity agent transcripts stored on your machine. A simple solution that goes a long way: ingest those tr…
Zero-cost, beginner-friendly local Markdown knowledge base for AI agents. Capture sources, preserve evidence and images, synthesize wiki pages, search, lint, an…
Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.
Agent Skill for building evidence-backed Markdown knowledge bases with zero-cost setup, image-aware capture, automatic wiki maintenance, and an interactive know…
撰文|深海 网文里的“系统流”,被拍成了职场短剧 千禧年初的网文圈,有三大经典题材在爽文届立于不败之地:无限流、快穿流、系统流。 这三大爽文战神体横空出世时,对IP界几乎是降维打击。当传统小说还在费劲搭世界观、铺人物成长弧光时,系统流已经绕过漫长的发育过程,直接把爽感推到最大。系统,这个堪称bug的存在,无论主角进入什么样的世界副本,面对不同的任务、危机和奖…
Native iPhone app for your Hermes agent
与社区共同推进自演进智能体生态发展
和人并肩工作
Autonomous agents are increasingly expected to improve executable policies through feedback, yet existing evaluations often collapse this process into a final score or confound it with open-ended soft…
Memory for a long-horizon LLM agent is a contract about what each future decision is allowed to see. The simplest contract appends past observations, tool calls, and reflections to every prompt, which…
Skills are becoming a reusable operational layer for LLM agents, encoding SOPs, domain rules, tool workflows, scripts, and validation routines. In realistic skill repositories, overlapping skills make…
Evaluating LLM agents on benchmarks like SWE-Bench and GAIA can be expensive, time-consuming, and requires complex infrastructure. A single evaluation can cost thousands of dollars and take days to co…
Data science aims to derive actionable insights from heterogeneous raw data, unlocking the value of the massive amounts of data generated in modern society. Automating this process is essential to red…
Repository-level vulnerability reproduction is a demanding software engineering (SE) task: an agent must inspect a codebase, infer the input grammar that reaches a vulnerable path, construct a proof-o…

In this post, you will learn how to build a serverless A2A gateway on AWS that hosts multiple agents behind a single domain using path-based routing (/agents/{agentId}). Standard A…
AI 点评 · 无服务器网关打通多智能体发现与路由,降低管理成本,是Agent生态关键基建。

In this post, you will learn how metadata works across configuration, ingestion, and retrieval, explore enterprise use cases including multi-agent and multi-tenant architectures, a…
AI 点评 · 元数据过滤让AI记忆更精准,支撑多智能体架构,推动企业级应用。

In this post, you will learn how Inscribe developed an agentic AI system using Amazon Bedrock that reasons across documents the way an expert fraud analyst would. With this new age…
AI 点评 · 利用亚马逊Bedrock的智能体AI,数秒内模拟专家分析文档,革新防伪效率。
Cloudflare is giving AI companies until September 15 to separate web crawlers used for search from those used for AI training and agents, or risk being blocked by default on many p…
AI 点评 · 云服务商首次明确要求AI训练爬虫付费,或重塑数据获取规则。
In autonomous laboratories, AI agents suggest the next batch of experiments to do. However, planning and executing those tasks taking full advantage of the available resources is a completely differen…
Google's 24/7 agentic assistant, Gemini Spark, comes to Mac alongside other improvements, like real-time tracking and support for more apps.
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthro…
把 Markdown 一键排成可直接粘进公众号编辑器的精致 HTML —— 6 套精选主题 + 主题生成器 + 双关卡校验。An AI-agent skill that turns Markdown into paste-ready WeChat article HTML.
Repository-level performance-optimization benchmarks such as GSO, SWE-Perf and SWE-fficiency evaluate coding agents by applying patches to real repositories and comparing runtime against unoptimized b…
Slide design requires personalizing both deck themes and page layouts. Yet, current AI agent-based methods struggle with fine-grained, page-level design. Solely relying on prespecified templates or us…
Memory has emerged as a cornerstone of modern LLM-based agents, supporting their evolution from single-turn assistants to long-term collaborators. However, memory is not always beneficial: retrieved m…
Open-source libraries and tools are widely reused, but compatibility maintenance is expensive. Once maintainers leave, useful repositories can stop working as runtimes and dependencies evolve. We stud…
Scientific literature search often requires more than retrieving papers from a single query: users' intents are underspecified, preference-dependent, and evolve through interaction. Existing search ag…
LLM agents increasingly rely on retrieval buffers to store and reuse past experience, yet the cache management policies governing these buffers remain largely ad-hoc. We formalize this as an online se…
Recent LLM agents benefit from skills for solving complex tasks. Skills encapsulate modular packages of procedural knowledge and instructions for performing specialized tasks, such as setting up a san…
We study agentic code generation in Dafny, where a model must generate both executable code and the proof artifacts for verification. We present AxDafny, a verifier-guided repair framework that iterat…

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.
Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file.
Embedded agents your customers use to automate work, build views, and connect their tools.
Context Runtime — a database query planner for LLM context. Decides what a model sees before it answers; plans it, runs it through reused substrate, and learns…
Agentic reinforcement learning requires assigning credit to environment-facing actions such as searches, clicks, edits, navigation commands, and object interactions. Standard GRPO uses the final verif…
LLM agents increasingly act over long horizons, where a single trajectory can contain hundreds or thousands of actions. In these settings, outcome-only rewards provide too sparse guidance, failing to…
Text-rich image generation is one of the most challenging settings in image generation, since models must simultaneously produce visually realistic images and render legible, semantically aligned, and…
Graphical user interface (GUI) agents build on vision-language models to complete user tasks end-to-end in real applications through interface actions such as tapping, swiping, text entry, and navigat…
As AI agents become increasingly capable of complex, long-horizon reasoning, rigorous and holistic evaluation is essential for measuring progress toward real-world healthcare applications. We introduc…
Traditional robot programming is challenging: it requires orchestrating multimodal perception, managing physical contact dynamics, and handling diverse configurations and execution failures. We introd…
Training language models (LMs) remains a highly human-intensive process, even as frontier language model agents become increasingly capable at software engineering and other long-horizon tasks. A cent…
The fast growth of open-source AI infrastructure, from model serving engines and agent platforms to the Model Context Protocol (MCP) ecosystem and the language models themselves, has outpaced the secu…
Open-source local policy, recovery, and audit layer for explicit Codex execution.
AI World Generator 2026: Create Self-Evolving Maps & Stories
2026 Multi-Agent AI Town Simulation | Polis Darwin LangGraph
HEWN 2.0 2026: AI Output Router for Precision Summaries & Polished Code
We introduce SWE-Interact, a new testbed for evaluating coding agents on multi-turn, interactive, user-driven software engineering tasks. Existing frontier SWE benchmarks typically provide complete re…
Current operating systems expose interfaces optimized for human users but not for AI agents. Humans benefit from pixels, icons, windows, visual grouping, mouse movement, and keyboard shortcuts; AI age…
Large Language Model (LLM)-based agents can solve complex procedural tasks by interacting with environments over multiple turns, but this ability typically depends on large models, long contexts, and…
Complete Guide 2026: Claude Code Manual – Workflow Pipelines & Adversarial Budget Loops
Ultimate Claude Fable 5 Guide 2026: Use Cases, Integrations & Benchmarks
AI Agent Toolkit 2026: Smart Device Control for iOS & Android
Local-first AI learning workspace — ask, note, review and create around your own materials. Wiki KB, Agents, Skills, creation tools.AI 学习工作台,围绕你的资料完成问答、笔记、复习和…
A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for ma…
A secure, stable, and lightweight alternative to OpenClaw and Hermes.
Large language models (LLMs) are increasingly used to take actions in the real world and support human decision-making, yet most agents rely on parametric knowledge, fixed post-training data, retrieva…
Single-agent multi-modal system for insurance damage claim verification. #1 globally, HackerRank Orchestrate June 2026 (15,295 registrants). Anthropic, OpenAI,…
为 A股投资者打造的全球产业链资讯看板 · 12 大赛道一一对应 A股板块(半导体/AI/机器人/新能源车…),覆盖 100+ 权威源,用你自己的大模型每日提炼中文「今日要点」+ 翻译 · 全程本地、零 API key · Local AI news dashboard tracking the global indu…
We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo…
Program verifiers play a central role in training coding agents, including selecting trajectories for supervised fine-tuning (SFT) and providing rewards for reinforcement learning (RL). Standard execu…
Benchmarks are widely used to evaluate task completion by Large Language Models (LLMs), but this approach has accumulated construction-validity problems, and a passing score may not show whether the r…
Search agents powered by large language models (LLMs) are increasingly used to solve complex information-seeking tasks, requiring multi-step retrieval and reasoning to fulfill user goals. However, exi…
Last-night exam-cram coach as a Claude Agent Skill: turns your slides, notes and past papers into a chaptered knowledge base + quiz bank, teaches only what's in…
Film Language Operating System for director-level, Seedance-ready cinematic video prompts.
A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.
Agent Skill for MLX model porting, validation, quantization, benchmarking, and optimization.
Selfhost modern LLM stacks. Run the whole fleet from your terminal
Open-source, self-hostable alternative to Claude Tag — a Slack-style workspace where your team and its AI agents (Claude Code, Codex, GitHub Copilot, and more)…
Browser-native side panel for Hermes Agent — connect web context to your local Hermes runtime.
Provider-pluggable orchestration runtime for multi-model AI inference. ( Sakana Fugu style )
🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications
Hey HN. http://peerd.ai is an AI agent harness that lives entirely in your browser as a web extension. You don’t have to install a separate “AI browser”. You don’t have to bolt on…
Hey HN. http://peerd.ai is an AI agent harness that lives entirely in your browser as a web extension. You don’t have to install a separate “AI browser”. You don’t have to bolt on…
DataClaw: Agentic Tailoring Multimodal Data from Raw Streams — coming soon (code, weights, dataset & DataClaw-val upon acceptance).
Agent skills extend language-model agents with task-specific procedures, scripts, and references, but the tasks and environments they target continually change. Existing methods improve skills in boun…

A capability threshold I've been carefully monitoring.
A skill for AI agents: search the web with SearXNG, browse with Camofox, bypass protections with CloakBrowser. Anti-hallucination by design. Self-hosted, free,…
The first AI agent harness native to the browser. A browser extension that runs a full agent loop where you already work: it drives your tabs, spins up sandboxe…
Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.
Procedural memory is increasingly used to improve LLM agents on recurring workplace tasks, yet its ability to produce reusable skills remains poorly understood. We introduce AFTER, a benchmark of 382…
fak — the Fused Agent Kernel: one Go binary that turns a tool-using agent (Claude Code, Codex, Cursor, any OpenAI/Anthropic/MCP client) into a managed agent: ca…
Transform any idea into a running AI-powered company
Artificial intelligence systems are commonly evaluated through task performance and behavioral imitation, but such evaluations leave open whether an artificial agent can acquire, stabilize, and use ne…
Local coding-agent orchestrator — DAG of auto-approved, git-worktree-isolated sub-sessions across LLM providers (Claude/Kimi/Grok/DeepSeek/local). AGPL-3.0.
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
UmaDev: A coding agent that works like a real dev team, commanding the Claude Code / Codex / OpenCode you already use.
Reverse engineered Windows Copilot into an OpenAI-compatible API. Access GPT-4 and GPT-5 models through a simple REST interface without API keys or billing.
Honey (I Shrunk the AI) by GreenPT: a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — write less code, less prose, and denser…
Evidence-grounded evaluation for AI agents — verifies each claim against the agent's real tool outputs (constrained, evidence-grounded model judgment, not holis…
The Juggler Code Agent
🎯 从零基础到 AI Agent 全栈工程师 · 110 个详细教程 · 58 万字 · 400+ GitHub 项目精选 · Obsidian 友好 · 中文
Biomedical researchers increasingly use AI-generated analyses and reports to interpret protein-level signals, but static outputs are often insufficient for research decision-making, where users need t…
自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目
Hey HN! I'm Zach from Adam ( https://adam.new/ ). We're building AI agents for mechanical CAD software. We’ve built the company on two fundamental beliefs: - AI will be the primary…
100+ Curated, CI-verified AI workflow recipes. Powered by FlowStacks.
Open-source reverse engineering lab: 197-article knowledge base + MCP tools + CTF/APK/PE automation toolchain. Agent-native. Note:由于场景原因,目前有让几乎所有(除fable5)AI都会越…
shadcn/ui, but for building agents. 🤖
Audit any agent decision across its past, present, and future, on one typed graph.
Skill to generate the knowledge vault for projects using the Ralph loop
Compile an AI agent's repeated workflows into deterministic, auditable routines that replay for free, with a fallback to the agent.
Six Claude Code skills that harden Opus 4.8 toward frontier behavior — written by Fable 5, pressure-tested on the target model with transcripts included.
An AI-agent skill that generates browser-editable presentations from multiple visual themes, exportable to HTML, PDF, and PPTX.
An AI workflow skill pack for research, competitions, and innovation projects.

Data Management
Xiaohei 2.0 Codex Skill for Chinese real-object article illustrations and long-scroll story images
Hi HN, we’re open-sourcing ktx. It’s an executable context layer that makes agents reliable on your data stack. We built it after going through the experience of building productio…
The unified agent for long-horizon productivity and coding, launching with Work and Code modes. Plus, a new Vibe VS Code extension.
Related ongoing thread: DeepSeek makes the V4 Pro price discount permanent - https://news.ycombinator.com/item?id=48237663 - May 2026 (384 comments)
Related ongoing thread: DeepSeek makes the V4 Pro price discount permanent - https://news.ycombinator.com/item?id=48237663 - May 2026 (384 comments)
Introducing Mistral Medium 3.5, remote coding agents in Vibe, plus new Work mode in Le Chat for complex tasks.

I haven’t used OpenClaw in weeks
Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-too…
The quality of training data fundamentally determines the capabilities of large language models (LLMs), yet no unified benchmark exists to measure how well LLMs, agents, and data-centric workflows act…
Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug…
Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties become ineffective si…
Agents for financial services Anthropic
AIRA₂: Overcoming Bottlenecks in AI Research Agents AI at Meta
AIRA₂: Overcoming Bottlenecks in AI Research Agents AI at Meta
Scaling Managed Agents: Decoupling the brain from the hands Anthropic
Voxtral TTS: A frontier, open-weights text-to-speech model that’s fast, instantly adaptable, and produces lifelike speech for voice agents.

It's not just chatbots anymore

Thriving in a world of agents

The artificial intelligence coding revolution comes with a catch: it's expensive. Claude Code , Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomou…

Salesforce on Tuesday launched an entirely rebuilt version of Slackbot , the company's workplace assistant, transforming it from a simple notification tool into what executives des…

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company in…
Demystifying evals for AI agents anthropic.com
Demystifying evals for AI agents Anthropic
Demystifying evals for AI agents Anthropic
Effective harnesses for long-running agents Anthropic

From chatbots to agents

The race between human-centered work and infinite PowerPoints
Effective context engineering for AI agents Anthropic
Effective context engineering for AI agents Anthropic
Effective context engineering for AI agents Anthropic
GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to in…
How we built our multi-agent research system Anthropic
Building Effective AI Agents Anthropic
Building Effective AI Agents Anthropic
Building Effective AI Agents Anthropic
Reward hacking occurs when a reinforcement learning (RL) agent exploits flaws or ambiguities in the reward function to achieve high rewards, without genuinely learning or completin…
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT , GPT-Engineer and BabyAGI , serve as ins…