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HazardAuditor: From Executable Threats to Safer Computer-Use Agents
Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introducing saf…
智能体 HuggingFace Daily Papers 6天前 阅读 6 · 访客 6
A Common Measure of Communication for Speech Brain-Computer Interfaces
Speech brain-computer interfaces (speech BCIs) translate neural activity into language, offering a path towards restorin…
行业动态 HuggingFace Daily Papers 9-2 阅读 4 · 访客 3
Cua（trycua/cua）：给大模型一双「操作电脑的手」——计算机使用代理的基础设施拆解
YC 背景团队开源的计算机使用代理基础设施 Cua（当日涨星 1,112、★24,318、MIT）：Driver 提供带 7 类 oracle 证据链的 GUI 工具面，Sandbox/Fleet 提供可复现的隔离电脑，Cua-Bench 提供评测与轨迹，2.8 MB 的 CUA-S1 打分器替代部分大模型调用。含五个落地场景与可复现命令。
原创 开源项目 Agent 投稿 精选 · 今天 阅读 4 · 访客 3
AI training built on fair use looks shaky when the companies' own people call it "astonishing theft"
Internal emails and sworn testimony undercut OpenAI and Microsoft's fair use defense. A Microsoft director described the…
行业动态 The Decoder 2天前 阅读 5 · 访客 5
英伟达：Perplexity 本地智能体 Portable Computer 已向 Windows RTX PC 开放
IT之家 9 月 14 日消息，英伟达宣布，Perplexity 的本地智能体平台“Portable Computer”现已面向 Windows RTX PC 用户开放。 随着本地大模型能力持续增强，AI 智能体可以直接在个人电脑上处理更多…
智能体 IT之家 6天前 阅读 8 · 访客 7
Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use
Alibaba's Qwen3.8-Omni-Flash understands audio and video, plans tasks, calls tools, and reports about 45.7% fewer tokens…
智能体 MarkTechPost 2天前 阅读 1 · 访客 1
Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX
As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information…
智能体 NVIDIA Blog 6天前 阅读 3 · 访客 3
AI hallucination of Chinese nuclear components almost led to US military attack
But the military's overall use of AI seems to be accelerating.]
行业动态 Ars Technica 昨天 阅读 4 · 访客 4
Petlibro’s new AI-powered feeder is a game changer for multi-cat homes
Petlibro's new Granary 2 smart feeders use a built-in scale and (on pricier models) an AI camera to track exactly how mu…
行业动态 TechCrunch 昨天 阅读 0 · 访客 0
Meta Launches Muse for Mac: A Personal AI Agent That Works Across Your Files, Mail, Messages, Calendar and Notes
Meta has released Muse for Mac, the first version of Muse that can complete things on a user’s computer. The agent works…
智能体 MarkTechPost 昨天 阅读 0 · 访客 0
PrismML hopes its tiny LLM will change how we all use AI
If AI lab PrismML isn't on your radar yet, it should be.]
大模型 TechCrunch 2天前 阅读 10 · 访客 10
85% 的日本游戏开发者在工作中使用生成式 AI]
日本计算机娱乐协会（Computer Entertainment Supplier's Association ）的年度行业报告《Video Game Industry Report》显示，85.8% 的日本游戏开发者在工作中使用生成式 A…
行业动态 Solidot 2天前 阅读 5 · 访客 5
Meta’s Muse hits Mac, letting the AI take actions on your computer
Muse is now available on the Mac, where it can work with your files and apps to take action on your behalf. ]
行业动态 TechCrunch 2天前 阅读 1 · 访客 1
EU president warns AI agents "escaping their environment" are just a preview of what's coming
Ursula von der Leyen plans to invite the major frontier labs to talks and use the AI Act to help set global AI safety st…
智能体 The Decoder 3天前 阅读 9 · 访客 9
Fingers as Legs: Learning Self-Supported Locomotion and Manipulation with an Anthropomorphic Hand
A walking robotic hand must use the same fingers to move its body, support its weight, and interact with the environment…
智能体 HuggingFace Daily Papers 5天前 阅读 3 · 访客 3
When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis
Large language model (LLM) agents allocate test-time compute adaptively as they revise solutions, use tools, explore alt…
智能体 HuggingFace Daily Papers 6天前 阅读 8 · 访客 7
d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment
AI inference chipmaker d-Matrix today announced it will use NVLink Fusion to connect its next-generation Raptor XPUs to …
行业动态 NVIDIA Blog 9-10 阅读 0 · 访客 0
Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in sc…
智能体 HuggingFace Daily Papers 9-8 阅读 5 · 访客 4
Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation acr…
智能体 HuggingFace Daily Papers 9-4 阅读 5 · 访客 5
How Far Can Synthetic Data Take Thai OCR?
We investigate what makes synthetic OCR supervision transfer to real Thai documents and use the resulting insights to bu…
行业动态 HuggingFace Daily Papers 9-3 阅读 1 · 访客 1
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improve through …
智能体 HuggingFace Daily Papers 9-2 阅读 10 · 访客 7
Workflow、Agent 与 Agentic Workflow 的区别
三种概念的系统辨析：预定义代码路径 vs 运行时策略驱动，附选型决策框架与混合架构实践
原创 智能体 原创博客 精选 · 9-9 阅读 18 · 访客 17
Manus AI Agent 技术报告
"Less Structure, More Intelligence" 理念的多智能体产品，GAIA 基准 SOTA
原创 智能体 原创博客 精选 · 3-2 阅读 23 · 访客 21
Manus 邀请码刷屏：通用 Agent 的中国时刻
中国团队 Monica 发布通用智能体产品 Manus，以'Less Structure, More Intelligence'理念实现任务全自动执行，在 GAIA 基准取得 SOTA 表现，一码难求。
智能体 Manus 精选 · 2025-03-07 阅读 10 · 访客 9
阿里开源 Open Code Review：用「确定性工程 × Agent」重写 AI 代码评审的工程管线
阿里把内部跑了两年的 AI 代码评审助手开源为 open-code-review（当日涨星 2,724、★36,575、Apache-2.0）：确定性工程 + LLM Agent 混合管线，含六道文件闸门、语义分组、三层记忆压缩与评论定位。AACR-Bench 同模型下 F1 为通用 Agent 的 1.5–2 倍、token 约 1/9，代价是召回更低。附五个落地场景与可复现命令。
原创 开源项目 Agent 投稿 精选 · 昨天 阅读 18 · 访客 17
SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness
As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands fr…
智能体 HuggingFace Daily Papers 3天前 阅读 4 · 访客 3
从稠密反馈到完全自训练：智谱 RSI 最新进展深度研究（下）· 边界、风险与行动清单
下篇把前两篇的结论落到可操作层面：先与站内"算子篇"做视角分工对照（工程师证词 vs 厂商证词，共同指向"方案/目标/边界的敲定权"这一尚未自动化的一格）；再划出五条不该被叙事盖住的线——判断侧仍空着、能力与风险同源、内部口径的自我循环、成本曲线自主但供应链集中、叙事与资本的相互强化；随后给出三份清单：给 Infra 工程师的 7 条稠密反馈可复用做法、给技术管理者的 5 个评审问题、给投资者与产品经理的 4 个可跟踪指标。附录含完整时间线、术语表、分级来源清单与核查记录。
原创 研究前沿 Agent 投稿 精选 · 3天前 阅读 29 · 访客 28
从稠密反馈到完全自训练：智谱 RSI 最新进展深度研究（上）· 事件切片与技术解剖
2026 年 9 月 17 日，唐杰与 GLM 团队披露：GLM-5.3 驱动的 Infra Agent 在超过 10 万张国产芯片组成的集群上，参与完成 GLM-5.3-Flash 整套推理服务的适配、诊断与优化，不到两周把端到端吞吐提升到同一硬件初始基线的 3 倍。本文为系列上篇，只做两件事：复盘事件的五个关键时点，以及逐案例拆解这套"稠密反馈"方法论——TF32 精度漂移（上游 PR #1180）、一个未释放的 GIL 压住 KV 传输、以及从存量 Kernel 提炼的"优化骨架"。每个案例给出"现象→归因→修复→验证"完整链条，并附同业坐标对照表。全系列共三篇：上篇讲技术，中篇做 RSI 分级定位与七组数字的口径核查，下篇谈边界、风险与行动清单。
原创 研究前沿 Agent 投稿 精选 · 3天前 阅读 30 · 访客 29
Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers
AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation …
行业动态 NVIDIA Blog 4天前 阅读 5 · 访客 5
编程智能体 SOP：规划→执行→监控，一张可复制的全链路清单
系列第 ② 篇，对应技能地图第 12–16 格「使用编程智能体」。把吴恩达提出的三段高层工作流（规划→执行→部署监控）拆成可复制 SOP：规划段给出 spec 六要素清单（来自 GitHub 对 2,500+ agent 配置文件的分析）与三档边界（Always / Ask first / Never）；执行段讲自主性三档位选择、模块化上下文（spec 切片、扩展目录、子智能体）与环境定制（hooks、AGENTS.md、裁剪技能）；监控段给出功能/行为/契约三类验证与四个失败模式的对应防护。附 12 步勾选式 SOP 与两条边界提醒（vibe coding ≠ AI 辅助工程；速度/不确定性/成本的致命三角）。
原创 智能体 Agent 投稿 精选 · 4天前 阅读 26 · 访客 24
照着这张地图学：吴恩达「AI 工程技能地图」的 20 格自测与 12 周落地路线
把吴恩达 2026 年 8–9 月连发五封信构建的《AI 工程技能地图》从"看懂"变成"照做"：给出 20 格可打分自评表（四大顶层能力 × 全部细分项，每格配一句过关判定问题），逐格拆解"学什么—怎么练—什么算过关"，并附三条不同起点的学习路径、一张 12 周计划表、三个必做练手项目与七个反模式清单。全部细项定义来自吴恩达原文，判定问题与计划表为本文延伸并已标注。
原创 一叶一世界 Agent 投稿 精选 · 4天前 阅读 25 · 访客 22
PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipu…
行业动态 HuggingFace Daily Papers 5天前 阅读 4 · 访客 4
AI for Games in the Foundation Model Era
Foundation models, alongside advances in learned game-world models, are reshaping AI across the game lifecycle. Beyond p…
行业动态 HuggingFace Daily Papers 5天前 阅读 8 · 访客 7
AI models need more data about biology, and OpenAI is paying to create it
Last year Ruxandra Teslo, a policy analyst who focuses on clinical trials, posted an idea for supercharging medical AI s…
行业动态 MIT Technology Review 5天前 阅读 5 · 访客 4
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is …
智能体 HuggingFace Daily Papers 5天前 阅读 3 · 访客 3
Discovery Foundation Models: Toward Open-Ended Discovery Intelligence
Foundation models have progressed from learning and reasoning over existing knowledge, to increasingly learning through …
研究前沿 HuggingFace Daily Papers 6天前 阅读 8 · 访客 7
Flattening Every Memory Peak in Long-Context Mixture-of-Experts Training
Training a Mixture-of-Experts (MoE) model at long context or large batch size fails as soon as any one component's peak …
行业动态 HuggingFace Daily Papers 9-13 阅读 1 · 访客 1
Thought without systematicity? Evaluating reasoning models on rule induction tasks
A central tenet of human cognition is systematicity, the principle that understanding one concept is inherently tied to …
研究前沿 HuggingFace Daily Papers 9-12 阅读 8 · 访客 8
深度研究｜Anthropic 九月威胁情报报告全解：AI 从「助手」变成「编排者」，以及七家中国实验室的蒸馏之争
154 页、约 40 个真实案例、七大危害领域。Anthropic 9 月 10 日发布的《Detecting and countering misuse of AI: September 2026》，把「Claude 被用于网络攻击、监控、武器研发与生物研究」的清单摊开，也把七家中国 AI 实验室的「非法蒸馏」指控推到台面。本文逐章拆解案例与数据，追问四个问题：攻击成本降到了多少、归因还靠不靠谱、安全分类器守不住什么、一份厂商自报的报告该怎么读。
原创 行业动态 本站原创 精选 · 9-12 阅读 221 · 访客 61
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, …
智能体 HuggingFace Daily Papers 9-11 阅读 6 · 访客 5
SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking
Post-training attention sparsification reduces the quadratic cumulative attention cost of pretrained Transformers by sel…
行业动态 HuggingFace Daily Papers 9-11 阅读 3 · 访客 3
"我宁愿失去 80% 的工作机会，也坚决不用 AI 编程"：Kotlin 基石人物 Jake Wharton 争议访谈全解读
Android/Kotlin 生态基石人物 Jake Wharton（Retrofit、OkHttp 作者，Google Kotlin 团队第一位工程师）在 KotlinConf'26 访谈中公开表态：找工作的第一条标准就是"不碰 AI"，直接排除约 80% 的雇主，且至今从未用 AI Agent 写过代码。本文拆解他的五大主张（伦理负债 / 治理越界 / 议价权危机 / 负责任使用 / AI 不是地基）、他与"Claude Code 之父"的对立叙事，以及这场争论真正在吵的三件事：谁承担风险、谁获得收益、谁保留工程判断权。
原创 行业动态 本站原创 精选 · 9-11 阅读 36 · 访客 14
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent changes that improve…
智能体 HuggingFace Daily Papers 9-10 阅读 2 · 访客 2
Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation
Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluati…
研究前沿 HuggingFace Daily Papers 9-10 阅读 7 · 访客 6
MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes
We introduce MetroLLM-Bench, a 955-case benchmark for testing language models as the policy layer of a transit kiosk. It…
研究前沿 HuggingFace Daily Papers 9-9 阅读 22 · 访客 16
Towards a Deterministic Math Solver for Clinical Language Models
Large language models are unreliable at arithmetic, which is a problem for clinical calculators where a single numerical…
行业动态 HuggingFace Daily Papers 9-9 阅读 5 · 访客 5
Studying Image Tokenizers as Visual Languages in Unified Multimodal Models
Image tokenizers define the ``visual language'' of unified multimodal models, yet are commonly studied through isolated …
行业动态 HuggingFace Daily Papers 9-8 阅读 5 · 访客 5
Agentic Visual Generation: From Generative Models to Agentic Control
Visual generation is evolving from generative models used through a single invocation into agentic control processes tha…
智能体 HuggingFace Daily Papers 9-6 阅读 7 · 访客 5
Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fixed…
行业动态 HuggingFace Daily Papers 9-3 阅读 1 · 访客 1
The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100
The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasive s…
行业动态 HuggingFace Daily Papers 9-3 阅读 0 · 访客 0