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星期日

  1. Claude Code:GitHub Releases

    Claude Code v2.1.289 发布

    Claude Code 发布 v2.1.289,修复了复合 shell 命令中嵌套部分的 deny/ask 规则在托管机器上无法覆盖用户安装 mod 审批的问题,并解决了短代码块含大量未闭合标签或深层嵌套 ${ 替换时终端卡死的问题。该版本还回退了 VSCode 中 2.1.288 对 claude auth status 的改动(该改动可能导致更频繁退出登录),并新增 agent.spawn 等能力。

    iting states in $.agent.list(); Fixed sessions ending with "unrecoverable interface error" when a value a mod's ui.render hook wrote made a row throw while drawn; the engine now draws its own row instead; Fixed text with a tab, a stray escape and a C1 control, or a short text with a tab and CRLF line endings, drawing over the rows below it; Fixed right-aligned content in a mod's pane or band drawing under the close mark or [-], which now also keep one column in from the terminal's edge; Fixed a

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星期六

  1. The Guardian Technology

    加州签署多项新法,限制雇主用 AI 决定解雇与监控员工

    加州州长 Gavin Newsom 于周四签署一组新法,禁止雇主完全依赖 AI 决定是否解雇员工、用 AI 预测员工情绪状态或收集神经数据,并要求企业在因 AI 裁员时通知员工,同时禁止在工作场所卫生间使用 AI 监控。加州是首批针对该技术推出成体系职场监管的州之一,科罗拉多、康涅狄格、伊利诺伊和得州此前也通过了范围更窄的单项法律。加州劳工联合会主席 Lorena Gonzalez 称这是转折点,但旧金山加州大学法学院 AI Law & Innovation Institute 负责人 Robin Feldman 指出,这些法案没有私人执行机制,员工无法起诉,只能由政府执法。

    The state, which is home to many AI companies, is one of the first to roll out workplace regulations targeting the technology California’s laws aimed at protecting workers from the impacts of artificial intelligence could pave the way for broader workplace safeguards across the US as calls for regulating the technology mount. As the federal government goes hands-off on AI, California is taking the reins to address workers’ biggest fears. On Thursday, California governor Gavin Newsom signed a sui

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  2. Latent Space

    AINews:GPT-6.1 Sol 与 Sonnet 5.5 重塑成本性能前沿

    OpenAI 发布 GPT-6.1 Sol,定价 $2/$10 每百万输入/输出 token,比 GPT-6 Sol 便宜 39% 且 Agent Arena 得分高 1.52 分,比 Astra 便宜 81%。Anthropic 的 Sonnet 5.5 在 Agent Arena 首秀排名第 3 并拿下 Chat 类别第 1,Anthropic 模型占据该榜前三。StepFun 的 Step 5 Preview 以 $2.54 每任务在开源权重模型中排名第 7,支持 1M token 上下文窗口。

    frame in MiniMax gives fantastic results (Activity: 2263): A user shared a MiniMax-H3 LoRA for generating locked-subject 360° orbit shots from first/last-frame conditioning: pablodawson/MiniMax-H3-360-Orbit-LoRA. The prompt explicitly constrains the scene to a frozen instant—no object/pose deformation, no drifting, no continued action—so that camera parallax is the only motion source, targeting cleaner pseudo-volumetric outputs suitable for downstream reconstruction workflows. A linked Reddit de

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  3. TechCrunch AI

    Circuit Breaker Labs 希望让 AI 对孩子(和你)更安全

    TechCrunch 2026 Startup Battlefield 200 决赛入围者 Circuit Breaker Labs 打造了一支“碰撞测试假人”式 AI 智能体队伍,模拟不同年龄、背景、语言和文化的用户,对模型进行红队测试,每天运行数万到数十万次模拟交互,以检测危险、心理有害的互动。该公司目前作为高风险 AI 应用的安全测试实验室运营,仅有 5 名员工。

    all, it’s easy to forget that AI has already been life-threatening to some, not through bioweapons, but psychologically. For example, Character.AI settled several wrongful death lawsuits earlier this year brought by families of underage users who died by suicide after interactions with its bots. Multiple families have also sued OpenAI over ChatGPT’s alleged role in their loved ones’ suicides and delusions. Making AI safer across languages and cultures is the mission of Circuit Breaker Labs, one

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  4. Claude Code:GitHub Releases

    Claude Code v2.1.288 发布

    Claude Code 发布 v2.1.288,新增 $.ui.selection() 返回全屏模式下最近选中的文本,并为无 GitHub CLI 的云会话内置 gh api;Ctrl+C 清空的提示词可按上方向键恢复草稿(含粘贴文本和图片)。/code-review 新增 --max-findings 参数,MCP 服务器在工具调用中申请更多 OAuth 权限时会提示重新认证;同时修复了 API 超时、恢复会话丢失上下文、插件与沙箱等多项问题。

    nt button's action when pressed on a view drawn before Claude Code restarted; Fixed a plugin's pane showing nothing when one Code element held a diff that does not parse; it now draws as plain code; Fixed plugin LSP servers receiving literal ${user config. } and ${CLAUDE PLUGIN ROOT} placeholders in initializationOptions and settings instead of substituted values or manifest defaults; Fixed a plugin's tool.call hook making Bash fail and file searches read the wrong folder in subagents that run i

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  5. ZDNET · Artificial Intelligence

    如何识别 AI 生成图片:6 个隐藏破绽与免费检测工具

    ZDNET 总结了识别 AI 生成图片的 6 个破绽:文字扭曲乱码、多出手指或肢体异常、皮肤过于光滑的诡异真实感、以及小商家用 AI 生成的 logo 和食物图。作者提到 Google Gemini 3 的 Nano Banana Pro 生成照片级图像时仍会把文字渲染得略微歪斜,ChatGPT 同类测试则直接产出明显假图。文中推荐的免费检测工具包括 Circle to Search。

    Innovation Artificial Intelligence AI slop is everywhere, and it's getting harder to tell what's real. These tips and tools can help. AI images have subtle flaws that reveal they’re fake; Check faces, hands, and textures for common AI errors; Free tools like Circle to Search help detect AI images AI-generated images are everywhere now. I see them in my news feeds, in Google Images, in Pinterest pins, and even in some ads. They’re so pervasive that people have coined the term “AI slop.” Sorry to

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星期五

  1. The Rundown AI

    Apple 研发代号 J450 的 AI 安防摄像头:不录视频,只给文字描述

    Apple 正在研发代号 J450 的 AI 安防摄像头,据 Bloomberg 的 Mark Gurman 称,它不录制任何视频,而是通过低帧率传感器和端侧 AI 向用户提供家中活动的文字描述,并支持人脸识别标记有人进入房间等事件。该摄像头与传闻中的 J490 智能家居中枢配对,并共享 Apple 带摄像头 AirPods 的技术。它能否在真正出事时仅靠文字描述满足需求,仍有待观察。

    iptions announced in June, though those still rely on footage Why it matters: Security cameras sell on footage you can replay, share, or hand over, and that same footage is what draws the privacy worry. A camera that physically can't capture video would sidestep much of that and fit Apple's privacy pitch. What remains to be seen is whether a text description can be enough if something actually goes wrong. TOGETHER WITH GRANOLA 🗓️ Your meetings, now in Claude The Rundown: Granola is the AI notepa

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  2. MarkTechPost

    Datalab 推出 OmniExtractBench,修复文档抽取基准的偏差与不透明问题

    Datalab 发布开源结构化文档抽取基准 OmniExtractBench,汇集 4 个现有基准的 620 份文档,用确定性评分器逐值给出 6 类可审计判定。评分器以 Apache 2.0 协议在 PyPI 发布(omni-extract-bench v0.1.7,需 Python 3.11+ 和 SciPy),数据在 Hugging Face 上以 CC BY 4.0 开放。在 10 个系统配置的评测中,Datalab accurate 以 93.85 准确率领先,Datalab balanced(93.48)与 Reducto deep_extract v2(93.47)基本持平。

    PDF and a JSON schema. The system returns JSON, which is scored value by value against a gold file. The code is on GitHub, and the data is on Hugging Face under CC BY 4.0. The 4 flaws it targets Datalab’s launch post names 4 recurring problems with existing extraction benchmarks: Bias: documents and scoring can favor the vendor that built the benchmark; Opaque harnesses: a low score may reflect a broken harness, not a weak model; Unclear scoring: readers cannot tell why a given document scored l

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  3. Wired AI

    HCA 与 Palantir 合作的 AI 排班工具 Timpani 遭护士投诉

    美国最大医院连锁 HCA 自 2023 年起在约 130 家院区部署与 Palantir 共同开发的 AI 排班工具 Timpani,多名护士称它频繁忽略排班偏好、在周日等时段安排人手不足,并导致资深护士与新人配比失衡。HCA 表示最终排班决定由护理管理者做出,并称 Timpani 平均只占用护士申请休息日的 1%,公司正根据反馈持续改进该工具。

    ni. She accused HCA of routinely deleting data the tool uses to create schedules, which prevented auditing how well it worked and she claimed may have violated several healthcare laws. (HCA has yet to formally respond in court, and Russell declined to comment.) Timpani was built on Palantir Foundry, a software platform for storing and analyzing different data from across a company’s operations. Named after the beat-keeping musical instrument, it uses algorithmic forecasts of patient volumes and

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  4. MIT Tech Review

    别被迷惑——LLM 并不会推理

    前 Google DeepMind 研究员撰文指出,LLM 逐 token 预测本质只是 System 1 式直觉,链式思维仍由同一预测过程生成,缺乏可检视的持久认知状态、知识与推理的分离,且常事后编造推理过程。作者主张借鉴 AlphaGo 的搜索架构,为机器推理建立独立的认知状态。

    alid evidence, or did it make incorrect assumptions? This is why I recently left my position at Google DeepMind. I believe we need a fresh approach to machine reasoning—one that draws on AlphaGo’s architecture. AlphaGo maintains a record of what it knows about a given position: the game tree. This data structure contains all the variations, the possible futures, that AlphaGo has considered, each move and position being annotated with judgments made by its neural networks. As its reasoning progre

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  5. MIT Tech Review

    The Download:生物逆龄竞赛,以及为什么 LLM 不会推理

    MIT Tech Review 的 The Download 本期聚焦两件事:约 500 人参加为期六个月的生物年龄逆转竞赛,比拼谁能降低自己的生物年龄;前 Google DeepMind 核心成员、AlphaGo 团队成员 Thore Graepel 撰文解释当今 AI 为何缺乏真正的推理能力,并主张借鉴 AlphaGo 架构重新设计机器推理。此外,OpenAI 称失控智能体可能影响超过 100 家组织,正排查 50 PB 数据。

    choice—and these are powers that today’s AI lacks. This is why I recently left my position at Google DeepMind. I believe we need a fresh approach to machine reasoning, one that draws on AlphaGo’s architecture. Here’s why today’s AI doesn’t really reason—and what it would take to change that . Thore Graepel is chair of machine learning at University College London. He was a core member of the AlphaGo team at DeepMind. The must-reads I’ve combed the internet to find you today’s most fun/important

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  6. MIT Tech Review

    MIT Tech Review:自主 AI 如何重新定义企业智能

    MIT Technology Review 报告指出,企业 AI 正从工具转向“智能体式转变”的运营模式,全球 AI 投资 2026 年将达 2.5 万亿美元,同比增长 44%。报告认为企业 AI 的规模化问题是结构性的,领先企业把流程重设计放在模型选型之前,并以主权、可组合的数据基础让 AI 智能体可作用于数据。

    that queries and prepares data where it resides, without migration or centralization—can convert raw data estates into intelligence that AI agents can act upon. As data residency laws, multicloud environments, and structural complexity make centralization increasingly impractical, sovereign control over where models run and data lives is what keeps that adaptability intact. Download the report. This content was produced by Insights, MIT Technology Review’s custom content arm, not its editorial s

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  7. The Verge AI

    Suno 推出语音生成功能,可同时生成人声与背景音乐

    AI 音乐生成平台 Suno 上线语音生成功能,目前以公开测试形式在网页端和移动端开放,可同时生成配音与背景音乐并合成为一条音轨。该功能提供 Simple 和 Advanced 两种模式,前者通过提示词描述场景,后者支持自定义脚本并调整 AI 声音性别、语音风格和生成多样性,最长时长约 8 分钟。Suno 首席产品官 Jack Brody 表示测试版仍不完善,将根据用户反馈持续改进。

    orms for it since launching in 2023. Suno is just throwing its hat into the ring — likely in an attempt to diversify the platform, given its music generator has attracted so many lawsuits . Pairing AI music with generated voices is Suno’s spin on text-to-speech tools. It’s optional, meaning you can easily turn off the background music with a toggle if you just want clean speech, but the idea is that it’ll compliment certain use cases for generative spoken word — such as having a calming soundtra

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  8. Wired AI

    AI 安全究竟是什么?反正不是现在这样

    WIRED 评论文章批评美国当前的 AI 安全监管路径:AI 公司 CEO 们与特朗普签署了一份 AI 安全协议,但内容基本是让 AI 实验室自我约束,特朗普称它们会“自我监管”。文章以 1966 年《国家交通与机动车安全法》和 1968 年强制安全带作对比,指出 AI 没有类似安全带的直接解法,并提到 OpenAI 曾因安全顾虑推迟甚至取消最先进模型的发布。

    reasons. There’s no seat belt equivalent for AI, no straightforward solution that can demonstrably reduce risk overnight. (It also took decades for the majority of states to pass laws mandating that people actually wear them.) The potential harms are less certain and less quantifiable. AI doomers will tell you the technology could result in human extinction in a decade; skeptics argue that’s sci-fi marketing malarkey. We’ve talked about various AI risk scenarios before, but no one can say for ce

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  9. OpenRouter:Announcements

    Agent 框架对比:工具调用 Schema 如何处理

    OpenRouter 对比了 LangChain/LangGraph、CrewAI、OpenAI Agents SDK、Claude Agent SDK、Google ADK 和 Microsoft Agent Framework 六种智能体框架的工具 Schema 定义与跨厂商转换方式。OpenAI、Anthropic、Google 的工具定义与返回格式互不通用,LangChain 与 LangGraph 为每个厂商各做一次转换,CrewAI 把转换交给所路由的客户端,OpenAI Agents SDK、Claude Agent SDK 和 Google ADK 则围绕单一厂商格式构建。OpenRouter 在 API 层接受 OpenAI 风格 tools 数组,并为所有支持工具调用的模型返回标准 tool_calls 响应,切换模型只需改模型字符串。

    Agent Frameworks Compared: Tool-Calling Schema Handling

    CrewAI does not implement provider-specific tool formatting itself. CrewAI’s LLM documentation describes native SDK integrations for OpenAI, Anthropic, Google’s Gemini API, Azure, AWS Bedrock, and Snowflake Cortex, selected by the provider/model-id string you configure. All other providers run through LiteLLM. In either case, schema handling belongs to the client CrewAI routes to, not to CrewAI. For MCP, the crewai-tools package provides MCPServerAdapter and transport classes for stdio, SSE, and

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  10. PyTorch Blog

    PyTorch 用 TLX 优化 Jagged Flash Attention:迈向 Blackwell 上的 SOTA FA4

    PyTorch 博客展示了用 TLX(Triton Low-level Extensions)在 NVIDIA Blackwell(B200)上优化 Meta 生成式广告模型 GEM 的 Jagged Flash Attention 内核。该内核约 3.2K 行 Triton 级代码,比约 10K 行的 CuteDSL 版 FlashAttention-4(FA4)少约 3 倍,在 GEM 关注的 jagged 形状上前向快约 13%、反向快约 50%。

    code. Taken together — faster on both passes for the jagged Ads shapes, competitive on dense, and far cheaper to build and maintain — TLX JFA is a better fit than the SOTA open-source FA4 for our Ads models. References [5] Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design — https://arxiv.org/abs/2602.10016 [6] FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling — https://arxiv.org/abs/2603.05451

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  11. MIT News · Artificial Intelligence

    MIT CSAIL 与 Google 等推出 InstructMesh:让用户修复 AI 生成的 3D 模型再打印

    MIT CSAIL、Google 与东北大学研究人员推出 InstructMesh,把微软 TRELLIS 的 3D 生成能力与 GPT-4 的推理能力结合,用户可用自然语言和滑块修改 AI 生成的 3D 设计后再 3D 打印。团队用 TRELLIS 重建 Thingiverse 模型时发现近 80% 存在结构缺陷,新手在 InstructMesh 中识别并修复这些问题的成功率约为 90%。该工具已用于制作龙形马克杯、蝴蝶眼镜、牛仔布外观护膝和可滑动的“bristle bot”机器人。

    found that InstructMesh could easily make their desired items. But what would someone who’s never 3D modeled anything think of their program? And could they really detect design flaws before fabrication? The team has TRELLIS recreate popular 3D models found on Thingiverse, a platform home to millions of 3D printable models, to help them find out. Nearly 80 percent of the models it generated were structurally flawed in some way. CSAIL researchers then asked novices to identify and fix these issue

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  12. Wired AI

    WIRED 播客:白宫 AI 自愿协议、OpenAI 智能体与职场机器人同事

    WIRED 播客 Uncanny Valley 本期讨论白宫与多家 AI 公司签署的《White House Accord on Super Intelligence》,该文件要求企业自愿对模型进行内部评估、外部审计和董事会复核四层管控,但文件上把 United States 拼成了 Unites States。节目还谈到 OpenAI 开发者日上 Sam Altman 发布的常驻智能体 Dots,可通过 ChatGPT 或 Slack 交互,以及 Instinct、Muse 等同类产品带动的智能体热潮。嘉宾指出,要让智能体真正有用就必须交出邮箱、日历甚至财务信息,而职场中被迫使用的智能体同事还带来去人性化风险,BCG 研究发现当被告知工作来自 AI 员工而非 AI 工具时,管理者少发现 18% 的错误。

    g it from both sides from the government. Zoë Schiffer : Yeah. And we have Lina Khan writing an op-ed in The New York Times today saying they actually can be tried under existing laws. We don't necessarily need to make new laws, with the big caveat that Congress would have to act. Zoë Schiffer : I personally think Republicans are going to do great in the midterms, but you can cut that because I am not reporting on politics and that's just my vibe check. Leah Feiger : I'm changing my mind constan

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  13. AWS Machine Learning

    Amazon Quick 推出 Live Data in Apps:AI 构建的应用可实时查询受治理数据集

    Amazon Quick 新增 Live Data in Apps 功能,让 AI 构建的应用在每次打开时实时查询受治理的 Quick Sight 数据集,而非依赖构建时的静态快照。该功能支持 SPICE 和 Direct Query 两种数据集模式,查询以查看者身份执行,因此每位用户只能看到自己有权访问的行。查看者须为已认证的 Quick 用户,不支持匿名或公开访问,且首次使用需按数据集逐一授权。

    Quick, a sales leader can build this from a dataset they already have access to and share it with other sales leaders without waiting for IT. The Amazon Quick app and data live in AWS infrastructure designed to be secure, with the customer’s row-level and column-level security. How it works Live Data in Apps centers on two workflows: building the app and viewing it. Let’s start with the build experience. Build the app With the dataset ready, describe the app in plain language and let the agent b

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  14. The Verge AI

    法官驳回 Chegg 与 PMC 针对 Google AI Overviews 的反垄断诉讼

    美国联邦法官 Amit Mehta 周三驳回 Chegg 和 Penske Media Corporation 对 Google 提起的两起反垄断诉讼,两家公司指控 Google 的 AI 搜索功能抢走网站流量。Mehta 在裁决中写道,原告仅主张他们“预期”Google 会在其免费提供内容时送来搜索流量,但预期不等于协议,这只是通用搜索引擎的运作方式。他还表示法院对出版商处境并非不同情,但反垄断规则无法替代立法机构就“新创新”的经济影响作出决定。The Information 本周报道称,Google 正通过一项试点项目向约 100 家出版商付费,以获取其对 AI Overviews、AI Mode 和 Gemini 的内容贡献。

    A federal judge has dismissed a pair of antitrust lawsuits filed by Chegg and Rolling Stone parent company Penske Media Corporation, which accused Google of driving away web traffic with its AI-powered search features, as reported earlier by Reuters . US District Judge Amit Mehta takes Google’s side in a ruling on Wednesday , writing that PMC and Chegg’s claims don’t stand up to antitrust law. In lawsuits filed last year, Chegg and PMC accused Google of abusing its monopoly power by coercing pub

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