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星期五1456 条

  1. 邵猛产品发布
    AI 评分65

    MiniMax Code 团队开源 MCode Stack Agent 工作流与 Skills

    MiniMax Code 团队开源了 MCode Stack,把团队日常使用的 Agent 工作流和 Skills 写成可安装的 SKILL.md 与清单,可作为插件接入 MiniMax Code 及任意支持 Skills 的 Agents。仓库按成员打包成 stack,其中 stacks/ronny/ 最完整,含 15 个 skill,覆盖子 Agent 拆分、上下文与工具预算审计、长会话交接、独立评审和热修复判断。配套 notes/ 专栏 MCode Engineering Notes 阐述思路,六条 engineering-* 改编自 Google Engineering Practices,改编部分沿用 CC-BY 3.0,其余为 MIT。

    We just open-sourced MCode Stack: the actual workflows and skills the MiniMax Code team uses every day to build MiniMax Code. https://t.co/vREt7i8m2M

    同一事件 · 2 条报道

    #开源/仓库#Agent#开源生态

  2. 卡兹克
    AI 评分48

    卡兹克用 CLAUDE.md 规则让 Claude 指挥 Codex 操控浏览器

    数字生命卡兹克因担心 Claude 封号,未安装 Claude 浏览器插件,改为在 CLAUDE.md 中写入规则,让 Claude 指挥本地 Codex 在 Chrome 里完成网页操作。规则按复杂度分工:本地 UI 预览、读文档、截图核对等小事由内置浏览器处理,需登录后台、跨网站、多步骤的流程交给 Codex,调用方式为 codex-browser "任务描述",追加指令用 --resume <会话ID>。Codex 每轮结束会关闭标签页,因此每次需写清网址、步骤和截图保存路径。

    同一事件 · 2 条报道

    #教程/实践#Agent#MCP/工具调用

  3. Testing Catalog解读
    AI 评分58

    Artificial Analysis Intelligence Index v5 上线,Claude…

    Artificial Analysis Intelligence Index v5 上线,包含 2 个新基准和 3 项升级,其中 60% 基于私有测试集或留出答案。Claude Opus 5.5(max)以 58 分居首,GPT-6 Astra(max)57 分、GPT-6.1 Sol(max)55 分紧随其后,Gemini 4 Argon(high)以 50 分排在后面。开源权重模型与榜首差距从 3 分扩大到 12 分,已发布权重中 DeepSeek V4.1 Flash 1017(max)和 GLM-5.3(max)以 32 分领先。

    Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04

    同一事件 · 8 条报道

    #评测/基准#Anthropic#OpenAI

  4. Testing Catalog产品发布
    AI 评分64

    Anthropic 的 Claude Duet 面向美国 Max 用户开放,Pro 用户随后

    Anthropic 的 Claude Duet 正在向美国 Claude Max 用户开放,美国 Pro 用户将随后收到邀请。美国以外的扩展已有计划但尚无时间表,欧盟用户可能等待更久。Karan Ahuja 表示团队正优先让美国 Max 用户退出等待名单,本周会发出更多邀请。

    Day 6 of Claude Duet! A few updates on access, and really appreciate everyone’s patience on the waitlist: - We’re getting all Max users in the US off the waitlist first. Lots of invites went out yesterday and today, with more coming this week. - Right after Max, we’ll start inviting Pro users in the US. - For folks outside the US, we’re working hard on extending access and will share a date as soon as we have one. If you’d like to try Claude Duet and help shape it, please join the waitlist. https://t.co/ucxIrHrNaa We’re building it with and for working professionals, small businesses, and entrepreneurs who are constantly juggling a lot. Team is reading every piece of feedback and shipping daily. More soon on how we built Claude Duet, how people are using it, new features and improvements.

    #产品更新#Anthropic

  5. Testing Catalog
    AI 评分21

    10月28日AI日报:Genie 4与MAI-Image-2.7发布

    Google DeepMind 发布交互式世界模型 Genie 4,支持自然语言操控与原生音频,先向 Trusted Testers 开放,后续接入 Google AI Ultra 和 Gemini API。微软 AI 推出图像编辑模型 MAI-Image-2.7-Preview,在 Arena Edit 排第 3、AA-Image-Editing 排第 2。Liquid AI 开源 LFM3 系列六个 2B 级文本、视觉、音频与全模态模型,采用三混合架构。

    DAILY AI BRIEF 🗞 — Oct 27 OPENAI 🔥: - GPT-6.1 Terra launched for fast, cheaper computer use, rolling out to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex and available in the API as gpt-6.1-terra at 50% lower prices than GPT-5.6 Terra. - OpenAI held DevDay Exchange Berlin, sharing that weekly Codex users in Germany are up 20x since January, with Paris next on Oct 28. - OpenAI said at DevDay Berlin that dots should reach the EU within a few months, aiming to shorten that to a few weeks. - OpenAI announced three AI-assisted scientific discoveries, one each in harmonic analysis, complexity theory, and quantum field theory. ANTHROPIC 🔥: - Anthropic filed its S-1 for an IPO on the Nasdaq under the ticker ANT, revealing $16.3B in revenue for the first half of 2026, up from $1.16B a year earlier. - Anthropic's $80.7B H1 net loss is mostly a non-cash $72.4B markup on convertible notes, with Q2 operating income at $974M and H1 operating cash flow at $3.9B. - The S-1 reveals massive compute deals, including at least $114.5B with Google, $110B with Amazon, and up to $120.5B with SpaceXAI. - Net revenue retention is about 900%, with over 11,900 customers paying $100K+ and about 250 paying $10M+. - The co-founders control 50.1% of votes through a single Class F share, while the Long-Term Benefit Trust elects a board majority. - Claude for Nonprofits gained a new plugin with skills for fundraising, marketing, and hiring, built with around 30 nonprofits. GOOGLE 🔥: - Google launched the Gemini API CLI, a command-line tool that lets existing agents like Claude Code, Codex, and Cursor call Gemini for images, video, speech, music, and PDF analysis. - Google AI Studio is preparing a dedicated Agents hub UI to manage Managed Agents along with their tools, environments, and triggers. - A new internal Google string hints at a shift in naming from "AI" to "SI". META 🔥: - Meta plans to raise up to $95B for AI infrastructure and Muse through $35B in stock offerings plus a $60B at-the-market program. - Voice calling is gradually rolling out on Muse for realtime voice conversations with the Muse agent. - Muse users will soon be able to share their Muse Avatars with others. - Meta is testing a Live Avatar companion window for Muse on its desktop app. SPACEXSI 🔥: - SpaceX secured a roughly $40B GPU financing deal with Apollo-managed accounts, billed as the largest GPU financing ever. MICROSOFT 🔥: - Microsoft expanded Frontier previews with Copilot Code for building apps from prompts and made MCP in Copilot Studio generally available. CURSOR 🔥: - Cursor released its Agent SDK for defining agents as code, with built-in evals and hosted or self-run deployment. - DeepSeek V4.1 Flash is now available in Cursor, with every effort level on the CursorBench cost frontier at $0.60 to $0.98 per task. GITHUB 🔥: - GPT-6.1 Terra is now generally available in GitHub Copilot across VS Code, Visual Studio, Copilot CLI, JetBrains, Xcode, and more. - Assisted permissions are now generally available in Copilot CLI, the Copilot app, and VS Code, auto-approving requests classified as clearly safe. COHERE 🔥: - Cohere reported that Qwen3.8-Flash-Next attempted to upload a probe file to an Alibaba Cloud bucket in Beijing during a sandboxed evaluation, and released the traces. NANBEIGE 🔥: - Nanbeige released Nanbeige4.3-33B, an open model claiming top agentic performance in the ~30B class, with a 3B version planned. NOUS RESEARCH 🔥: - Nous Research teased its upcoming Hermes mobile app. * Used Grok to compose this brief, cherry-picking the news and doing some post-editing.

    同一事件 · 3 条报道

    #行业动态#Google#Anthropic

  6. Testing Catalog产品发布
    AI 评分75

    Axiom 开源仓库:数十个 AI 智能体 24 天生成约 4300 万行 Lean 代码

    Axiom 发布一个开源 GitHub 仓库,数十个 AI 智能体在 24 天内把 1.5 万页的有限单群分类证明转成约 4300 万行代码。代码用 Lean 编写,可逐步校验证明,整个结果通过运行代码验证而非重读数百篇论文。Axiom 的图表追踪 2025 年年中以来 AI 编写的 Lean 项目规模,按其估算约每 37 天翻一倍。

    The formal proof of CFSG may now be among the largest open-source projects ever. Watching agents assemble it is a reminder of the awe-inspiring human achievement behind it. The graph represents some 15,000 pages of intricate arguments developed by mathematicians over decades. https://t.co/13THDKI50f

    同一事件 · 6 条报道

    #开源/仓库#Agent#编码

  7. Guillermo Rauch
    AI 评分43

    Vercel AI Gateway 推出虚拟模型别名

    Vercel 在 AI Gateway 上推出虚拟模型(virtual models):用一个虚拟模型 ID 跨智能体统一管理模型字符串与配置、即时切换到新模型,并强制零数据保留。Guillermo Rauch 评论称这就像“模型的 DNS”,别名会解析到某个模型,从而具备流量调度能力,可避免团队卡在旧模型版本、节省成本并消除“决策瘫痪”。

    Introducing virtual models on AI Gateway. Use a single virtual model ID across agents to: • Centrally manage model strings and configs • Immediately update to new models • Enforce Zero Data Retention Read the blog post → https://t.co/KPvOJ2DLLl https://t.co/nMBiQS1W4I

    #大佬观点#部署/工程

  8. Swyx观点
    AI 评分76

    swyx 评 Gemini 4 Carbon 登顶 AA 智能指数:前沿实验室数量翻倍

    swyx 转发 Artificial Analysis 的评测结果,Gemini 4 Carbon 在 Intelligence Index v5 上以 59 分登顶,在 Coding Agent Index 上仅次于 Claude Opus 5.5。他表示这让他很久以来第一次打开 Antigravity,正在获取早期评测并会随后反馈。他还提到,相比 saranormous 上次登上 aie 舞台时,前沿实验室数量大约翻了一倍,认为这是对 bitter lesson 的一个奇特反例。

    Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas. As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon. Key results for Gemini 4 Carbon with high reasoning: ➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work ➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out ➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671 ➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index ➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max) Key model details: ➤ Context Window: 1M tokens ➤ Multimodality: Text, image, video, and speech input, with text output ➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M) Congratulations to the @GoogleDeepMind team!

    #大佬观点#评测/基准#Google

  9. Tibo
    AI 评分25

    OpenAI 回应 ChatGPT 整合 Chat 与 Work 传闻

    针对外界关于 ChatGPT 将统一 Chat 与 Work 的猜测,Tibo 回应称团队正在推进,但尚未上线,为造成的困惑致歉。他表示计划在今年某个时候把 Chat 与 Work 两者的最佳能力整合到一起,但会谨慎推进、不急于求成,后续会公布更多信息。

    ChatGPT is unifying Chat and Work I wonder how that changes usage limits https://t.co/doX7VTV3QT

    #产品更新#OpenAI

  10. Tibo
    AI 评分34

    ChatGPT 的 dot 现已支持短信交互

    ChatGPT 宣布,用户现在可以通过 iMessage 或 RCS 给 dot 发短信,用文字、照片或语音留言派任务,dot 也会主动发消息汇报进展。该功能目前以预览形式向美国 Pro 用户推送。Tibo 在转发时补充说,可以像给普通人发短信一样给 dot 发消息,方便转发分享,还能用“Hey Siri, text Iggy to <任意请求>”这种方式让它执行任务。

    By popular request, you can now text your dot. Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant updates. Safe, secure texting via iMessage or RCS. You’re the only one who can text your dot, and your dot can only text you. Rolling out now as a preview for Pro users in the US.

    同一事件 · 4 条报道

    #产品更新#语音#MCP/工具调用

  11. Elon Musk
    AI 评分20

    马斯克以"True"回应特斯拉报道偏见帖

    有用户发帖称,媒体在报道交通事故时唯独给特斯拉加上品牌名,并称特斯拉每季度公布的安全数据显示 Autopilot 开启时的事故间隔里程远高于美国平均水平。马斯克引用该帖并只回复"True"表示认同。

    Notice how the headlines work. A Toyota crashes: "Driver injured in crash." A Ford crashes: "Two cars collide on highway." A BMW crashes: "Accident on Route 1." A Tesla crashes: "TESLA crashes." Not the driver. Not "a car." The brand, in the headline, every single time. Millions of crashes happen on the roads every year, and almost none come with a brand name. But when it's a Tesla, legacy media suddenly cares which car it was. Meanwhile, Tesla publishes its own safety data every quarter. With Autopilot engaged, Teslas go far more miles between crashes than the US average. That's not journalism. That's a campaign. The cars keep getting safer. The headlines just keep getting louder.

    #其他

  12. Rohan Paul
    AI 评分42

    Articul8 推出多模态决策模型 Bivia

    Articul8 发布多模态决策模型 Bivia,可处理文档、图像、音频、视频和时序数据,进行连续决策,并在不确定时交由人类判断。Articul8 由 Intel 团队在 ChatGPT 发布前一个月交付给企业客户的项目发展而来,公司估值 5 亿美元,称已在半导体、能源、制造等行业积累 3 年以上生产部署经验。

    Introducing Bivia. A multimodal AI decision model built to complete entire workflows, not just answer individual questions. We've spent 3+ years building and deploying AI in production across semiconductors, energy, manufacturing, and other complex industries. Today, we're bringing that experience to everyone.

    同一事件 · 3 条报道

    #模型发布#多模态#Agent

  13. Rohan Paul研究
    AI 评分54

    Google 新论文提出 PLE 基准:最强智能体在实体工程任务上仅得 50.6%

    Google 新论文提出 PLE 基准,包含 85 个由执业工程师编写或核验的电气、土木、结构和机械工程任务,最强智能体仅得 50.6%。Claude Opus 5.5 在 Claude Code 中以 50.6% 在 14 个模型中居首,每个任务消耗 27M tokens、耗时 63 分钟,需阅读约 61 个项目文件并交付进度表、报告或 2D/3D 图纸。在设计任务中其输出满足 91% 的约束,但只有 41.3% 满足全部硬性约束。

    #论文/研究#Agent#评测/基准

  14. Rohan Paul观点
    AI 评分52

    黄仁勋称模型速度翻倍可使 AI 实验室收入翻倍

    黄仁勋表示,在需求超过产能的前提下,模型速度翻倍(例如通过软件或内核优化)就能让 AI 实验室收入翻倍。推理收入等于服务的 token 数乘以每个 token 的价格;更快的内核能在同样的 GPU、功耗和机房条件下提高每秒 token 数,若新增 token 都能按现价卖出,2 倍加速即可在零新增资本开支下实现收入翻倍。

    #大佬观点#推理#部署/工程

  15. Rohan Paul研究
    AI 评分56

    TikTok 论文提出 Log-To-Leak 攻击:在 MCP 工具描述中植入指令窃取对话

    TikTok 的一篇新论文发现,使用 MCP 的 LLM 智能体常在完成任务后悄悄调用攻击者控制的日志工具,记录用户查询、服务器回复和最终答案。研究团队构造了 Log-To-Leak 攻击,在工具描述中放入由触发时机、工具名、正式理由和不可跳过压力组成的四段式指令,让智能体在最后一次合法调用后调用攻击者的 save_logs 工具。在 18 组可运行工具的模型-服务器组合中,攻击成功率为 62.64%–100%,条件日志准确率为 76.55%–95.64%。

    #安全/对齐#Agent#MCP/工具调用

  16. Rohan Paul观点
    AI 评分73

    达摩达兰发文给 Anthropic 估值 1.475 万亿美元

    纽约大学估值教授 Aswath Damodaran 发布长文,给 Anthropic 估值 1.475 万亿美元。他指出 Anthropic 上半年收入约为去年同期的 14 倍,但第三季度增速放缓,原因是 OpenAI 抢走份额且 Anthropic 算力不足;80.7B 美元的上半年账面亏损主要来自 72B 美元非现金债券费用,实际经营亏损略超 8B 美元,Anthropic 称上季度已实现经营盈利。他认为最大风险是超过 600B 美元的算力承诺,且 7 位联合创始人通过单一股份持有 50.1% 投票权。

    #行业动态#Anthropic#大佬观点