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星期五

  1. Claude Devs精选

    Anthropic 将 Sonnet 5.5 缓存读取价格减半

    Anthropic 在 Claude Platform 把 Sonnet 5.5 的缓存读取价格下调一半,降至每百万 token 0.10 美元,输入为 2 美元、输出为 10 美元。官方称这让 Sonnet 5.5 在多数智能体任务上的运行成本降低约 20%。此次调整仅针对 API,Claude Code 的使用额度不变。

    ICYMI we've cut the price of Sonnet 5.5 cache reads in half. In the Claude Platform, it's now $0.10 per million tokens (input is $2, output is $10). This means Sonnet 5.5 now runs 20% cheaper on most agentic work. (API only, no change to Claude Code usage limits.)

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  2. TechCrunch AI精选

    Google 为 Gemini 引入智能体能力,先从企业场景落地

    Google 在 Cloud 活动上宣布为 Gemini 推出统一智能体,可接受目标而非仅指令,自行规划任务、调用自定义技能与工具并连接企业内部系统。该智能体默认自动选择模型,也允许用户手动切换,首批支持 Anthropic 的 Claude 模型,未来将扩展至开源和私有模型。它可接入 Google Workspace、Microsoft 365、Slack、Jira、Git、BigQuery、Snowflake 等系统以及任意 MCP 服务器,并拥有独立的 Workspace 账号和审计记录,初期面向企业客户,之后再推向消费者。

    At a Google Cloud event on Thursday, the company announced it’s bringing its Gemini AI into the agentic age, with the launch of a unified agent that can not only answer questions but also get things done on the user’s behalf, all from a single interface. The move comes as AI tools have been moving beyond being just conversational experiences to those that can take ownership of assigned tasks, generate code, schedule meetings, book appointments and travel, and more. It also follows the rise of co

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  3. Sundar Pichai

    Google 发布面向工作的 Gemini 通用智能体

    Google 在 NASA Hangar One 面向 700 多名 Google Cloud 客户发布新的 Gemini 智能体,定位为面向工作的单一通用智能体,可在同一个提示框中回答问题、处理知识工作、生成图像与媒体并编写和运行代码。该智能体基于网页运行,可跨设备访问并集成到第三方应用,也能在没有专用界面时运行;云端持久执行使其在不同入口保持同一套记忆、上下文和个性化图谱。它支持创建子智能体处理多步任务,也可作为具有既定角色和独立身份的同事实体,并能跨多个模型编排以兼顾质量与成本。

    Great to be with 700+ @googlecloud customers at the historic NASA Hangar One for Gemini at Work! Today, we introduced the new Gemini agent, a single, universal agent for work that has all of your business context and answers your questions, handles your knowledge work, creates your images and media, and writes and runs code - all from a single prompt box. It is connected to your personal workflows, your systems of record, and your enterprise controls. It’s built around a few core architectural p

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  4. TechCrunch AI

    Goodfire 推出 inside-out 监控器,拦截失控 AI 智能体

    Goodfire 发布一类监控器,通过读取模型内部激活信号来发现 AI 智能体的异常行为,而非让第二个模型逐字审查输出,该监控器面向 Baseten 客户开放。在 Kimi K3 上的测试中,监控约 1500 个会话成本约 51 美元,对比用较便宜模型逐步检查的 233 美元和顶级模型的约 10000 美元,探针捕获了 94% 的恶意黑客会话,并将 8.7% 的无害会话送交二次检查。客户可选择监控攻击性黑客、化生武器滥用和 reward hacking 等风险,并设定记录、人工复核或直接拒绝等响应方式。

    The standard way to keep an AI agent in line is to have a second AI read over its shoulder . It’s been the default approach, but it can get expensive fast when agents run for hours and process the equivalent of several novels’ worth of text. Goodfire, a startup focused on interpretability (figuring out how AI models work internally), launched a cheaper option on Thursday: monitors that watch what’s happening inside an AI model as it works, rather than just reading what it writes. The monitors ar

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星期四

  1. MarkTechPost

    Architect 推出 Liquid Inference,为 LLM 推理做实时竞价拍卖

    Architect Financial Technologies 推出 Liquid Inference,这是一个对每次 LLM 推理请求进行实时拍卖的路由器,提供方为指定模型报价,买方按最低且符合自身规则的报价成交。买方可在生成前锁定最高价格,并设置单任务成本上限、首 token 时延、最低吞吐、区域、零数据保留和提供方或模型白名单等规则,计费仅按实际用量。该服务兼容 OpenAI 与 Anthropic 客户端,官方称支持 Claude Code、Codex、OpenCode、Cursor、Pi 和 Cline,前 500 名用户可获 20 美元免费推理额度,推荐可获被推荐方费用的 20%。

    live order books, per-provider and per-model quotes, and cleared transactions. That level of market data is unusual for an LLM API. What do buyers get? Drop-in compatibility with agentic coding tools. The post lists Claude Code, Codex, OpenCode, Cursor, Pi and Cline; Free email signup. The first 500 users get $20 of free inference, per Harrison; A referral program: 20% of referred fees as free inference, plus 10% on second-level referrals What do inference providers get? Providers onboard throu

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  2. gihyo.jp精选

    微软 MXC 正式发布:跨 Windows/Linux/macOS 沙箱运行 AI 智能体

    微软于 2026 年 10 月 7 日宣布 AI 智能体策略驱动容器 Microsoft Execution Containers(MXC)正式可用,支持在 Windows、Linux、macOS 上以沙箱方式运行模型输出、插件、工具等不可信代码。用户用 JSON schema 描述隔离条件,经多语言 SDK 映射到对应沙箱后端,可控制隔离环境、进程、文件系统、网络和用户界面五类策略。MXC 已在 GitHub 以 MIT 许可开源,GitHub Copilot、OpenAI Codex、OpenClaw、Replit、LM Studio、Unsloth 等已支持,Anthropic Claude Code、Perplexity、Manus 等将陆续支持。

    微软于2026年10月7日宣布,面向AI代理的策略驱动型容器“Microsoft Execution Containers”(MXC)已正式发布。 Microsoft Execution Containers: Policy-driven containment for AI agents - Windows Developer Blog MXC is now GA on Windows 11. 🔐 Define which files and networks agents can access, with policies enforced at runtime. It’s part of how Windows is building the most secure platform for agents. Learn more: https://t.co/0JVVnARvLS https://t.co/wWuYmkK0NK— Windows Developer (@windowsdev) October 7, 2026 MXC是在2026年6月该公司活动“Build 2026”

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  3. Google Developers Blog精选

    Google 开源端侧 GPU 推理引擎 ML Drift

    Google AI Edge 团队以 Apache 2.0 协议开源端侧 GPU 计算引擎 ML Drift,它抽象 OpenGL ES、OpenCL、Metal 和 WebGPU,是 LiteRT 的核心 GPU 加速引擎,也可作为独立库使用。相比旧版 TFLite GPU delegate,它引入张量虚拟化统一 shader、可扩展自定义算子框架、5D 张量支持和针对 LLM 的阶段性优化,并新增 Windows 和 Linux 桌面预览。官方称 Gemma 基准中内存开销最多降低 12%,YouTube Shorts 平均帧延迟最多降低 40%,Google Photos 提速最多 2 秒,Adobe Lightroom 与 Photoshop 端侧性能最多提升 30%,Snapchat 镜头模型延迟改善 30%。旧版 TFLite GPU delegate 将不再获得新功能更新。

    ML Drift banner

    Framework: ML Drift adopts a modernized custom op framework that provides direct registration APIs with low-level shading language access. To accelerate this, ML Drift includes an agentic SKILL.md guide, enabling coding agents to author, register, and verify performant custom shaders in minutes. This provides developers with granular control to integrate specialized model blocks directly into the execution graph, drastically reducing the barrier to deploying proprietary architectures. 5D Tensor

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  4. TechCrunch AI

    微软发布搭载 Nvidia 芯片的 AI PC 与新版 Windows 11

    微软在旧金山 Tech Week 活动上公布新款 Surface Laptop Ultra 的规格与价格,两个基础型号分别 2600 美元和 3700 美元起,选配更高内存与存储后最高 5900 美元,微软称最高配机型已售罄。同时发布搭载 RTX Spark 芯片的 Surface RTX Spark Dev Box 工作站,6000 美元起,预装 VS Code、GitHub Copilot CLI、WSL 和 PowerShell 7,两款设备均主打在本地免费运行 AI 模型。新版 Windows 11 加入 Execution Containers 功能,微软称可更便捷地为 AI 智能体做沙箱隔离,该功能将面向所有 Windows 11 用户开放;戴尔同日也公布了 Dell XPS 16 Creator Edition 的细节,售价 3800 美元,现已开启预订。

    Back in June, Nvidia announced that it had secured agreements with Microsoft and a host of other PC makers to develop AI- and agent-ready PCs for Windows based on its RTX Spark chip, but details on the machines were scant at the time. On Wednesday, at an event held in San Francisco during the city’s Tech Week, Microsoft revealed the specs and price for its new Surface Laptop Ultra . The PC comes in two base models, one that starts at $2,600 and one with a more powerful chip that starts at $3,700

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  5. The Verge AI

    微软让 Copilot 获得更多 Windows 与本地文件控制权

    微软在 Windows 与 Surface 活动上展示了 Copilot 的升级,将可访问 PC 本地文件并在系统内执行操作,这一思路被微软称为 Hybrid Intelligence,即应用和工具混合使用本地与云端 AI 模型完成任务。现场演示中,微软 Copilot 执行副总裁 Jacob Andreou 让 Autopilot 处理报税事务,Autopilot 跨文件夹查找文件、重命名、打包成压缩包并起草带附件的邮件。Andreou 表示相关功能将在未来几个月内登陆 Copilot;微软还展示了新的 Windows 搜索体验,可在搜索栏直接开启深色模式、用滑块调高麦克风音量或发送短信,该体验将于今年秋季起在 Windows 11 PC 上提供。

    ntelligence works, Jacob Andreou, Microsoft’s EVP of Copilot, walked through a video demo on stage asking Microsoft’s Autopilot tool to help with filing taxes. Andreou told the AI agent that he got an email from his accountant and asked Autopilot to get her what she needs. Autopilot then used Hybrid Intelligence to search across different folders to find the documents, rename the files, zip them into a folder, and draft an email to send to the accountant with the zip file attached. Features powe

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  6. The Verge AI

    微软 Surface Laptop Ultra 发布,搭载 Nvidia RTX Spark 芯片

    微软在旧金山 Windows 与 Surface 发布会上公布 Surface Laptop Ultra 的上市信息,这款搭载 Nvidia RTX Spark Arm 芯片的笔记本起售价 2,599 美元,10 月 16 日发售,配备 15 英寸 HDR 触控屏、最高 2,000 尼特亮度和支持触觉反馈的更大触控板。面向开发者的 Surface RTX Spark Dev Box 迷你主机同步开启预售,售价 5,999 美元,11 月发货,搭载 128GB 统一内存,可本地运行超过 120B 参数的模型。Windows 方面推出名为 Hybrid Intelligence 的功能,让 Copilot 访问本地文件并跨系统执行操作,同时新增可从搜索栏直接执行快捷操作的新搜索体验。

    ntelligence works, Jacob Andreou, Microsoft’s EVP of Copilot, walked through a video demo on stage asking Microsoft’s Autopilot tool to help with filing taxes. Andreou told the AI agent that he got an email from his accountant and asked Autopilot to get her what she needs. Autopilot then used Hybrid Intelligence to search across different folders to find the documents, rename the files, zip them into a folder, and draft an email to send to the accountant with the zip file attached. Months after

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  7. NVIDIA Blog精选

    NVIDIA 与 Microsoft 发布 RTX Spark 及 Windows 智能体基础设施

    NVIDIA 与 Microsoft 在旧金山 Windows AI 活动上宣布为 Windows PC 的 AI 智能体协同设计软硬件,Microsoft 宣布 OS 级智能体运行基础设施 MXC 正式可用。RTX Spark 把完整 NVIDIA AI 栈带入 Windows 笔记本和紧凑台式机,笔记本今日开启预售、10 月 16 日上市,台式机 11 月开售,最高 128GB 统一内存和 1 petaflop FP4 AI 算力,可本地运行 Qwen 3.8 Flash Next 等模型。活动还预览了 NVIDIA DGX Station for Windows,基于 GB300 Grace Blackwell Ultra 桌面超级芯片,提供 748GB 一致内存和最高 20 petaFLOPS FP4 算力,可在本地运行万亿参数级模型。

    At a Microsoft event in San Francisco on Wednesday, Jensen Huang and Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs. NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows. “If you look at the entire journey of our company, Windows was at the core of it,” Huang said, tracing back NVIDIA’s support for Windows and Microsoft over several decades. “If not for Windows there would be no GeForc

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  8. GitHub Blog · AI & ML精选

    GitHub 推出 ModernBERT 密钥检测分类器,将 push 防护扩展到非结构化密钥

    GitHub 发布与 Microsoft Applied Sciences 联合微调的 ModernBERT 分类器,用于在 push 阶段识别非结构化密钥,可在 2 毫秒内评估一批候选密钥,官方称可将可拦截的密钥数量提升一倍以上。该功能目前处于 private preview,本月晚些时候面向 Enterprise Cloud 和 GitHub Teams 上购买 GitHub Secret Protection 的组织开放,并消耗 AI credits。GitHub 同时把该模型接入 AI secret detection 的推送后扫描、GitHub Enterprise Server 3.23 公开预览,以及 Copilot CLI 和 Copilot App 的 /security-review 命令。文中还给出九个季度数据:Q2 2024 至 Q2 2026 受检 push 增长 2.84 倍,携带凭据的 push 增长 2.59 倍,开发者覆盖 push 拦截的比例从 6.63% 降至 3.93%,手动吊销密钥的平均时间约 40 天。

    Today, one in three pull requests on GitHub involves an AI agent . A year ago, that number was fewer than one in 10. If that pace holds, within the next two years, most of the code pushed to GitHub could be written by an agent. Much of it may never be fully read by a human. If developers and agents move faster, we have a responsibility to ensure protection keeps up with the accelerated rate of code creation. That means preventing more leaks before they happen and making the response to exposures

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  9. TechCrunch AI

    Meta 推出新 AI 工具,识别暗中导流儿童性虐待内容的广告

    Meta 宣布推出新的 AI 工具,用于识别那些看似正常、实则将用户导向站外非法儿童性虐待内容的广告。其中一套新的大语言模型系统专门检测这种“signposting”行为,审核范围从广告内容本身扩展到广告把用户带向何处,Meta 可据此封禁违规网站并对相关账号采取措施。Meta 同时上线一个红队 AI 智能体测试自身安全防护,并改进识别被封号后换新账号回流用户的系统。Meta 称 2026 年上半年在 Facebook 和 Instagram 上对 3320 万条儿童性剥削内容采取了行动,其中超过 97% 由系统在用户举报前发现。

    hat earlier systems may have missed. The company said it will continue adding new signals as it learns more about how these networks operate. Another new tool is a “red-teaming AI agent” that tests Meta’s own safety measures. It looks for weaknesses that bad actors could use to get around the company’s protections. Meta said this could help it find new methods of abuse before they become more common. Additionally, the company is improving its systems for finding people who return to its platform

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星期三

  1. Publickey

    AWS 将 DuckDB 集成进 Aurora PostgreSQL,无需 ETL 即可直读数据湖

    AWS 宣布在 Amazon Aurora PostgreSQL 中集成 DuckDB,可直接读取并处理 Apache Iceberg 等格式构建的数据湖数据,不再需要 ETL 转换。DuckDB 是小型高速的 OLAP 引擎,支持并行执行的列式引擎,可读写 CSV、Parquet、JSON 格式,其中 Parquet 常用于 S3 上的大规模数据湖。DuckDB 开发方 DuckLabs 今年 9 月成为 AWS 子公司,此次集成是该收购后推出的新功能。

    ng data right where it’s stored. DuckDB reads the open formats like Parquet and Iceberg already sitting in your data lake, so there’s nothing to convert or move. As folks build AI agents into their apps, the data their agent needs will depend on the task in front of it. Being able to query that specific data live, instead of copying it over just in case, is gonna be a big help for builders. https://t.co/R8h2Hcp1K7 DuckDBは小型で高速なOLAPエンジン Amazon Aurora PostgreSQLに統合されたDuckDBは、SQLiteのようにアプリケーションに組み込

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  2. 量子位

    Utopai X 视频模型在 Artificial Analysis 盲测榜单位列第二,同步推出制片平台 PAI

    独立评测机构 Artificial Analysis 的文生视频榜单中,影视公司 Utopai Studios 的模型 Utopai X 以 1150 分位列第二,与第一名阿里的 Wan 3.0 仅差 7 分。该模型以 MiniMax 开源的视频模型 H3 为底子做后训练,在 10 项能力中有 7 项比基座更接近顶尖水平,提升最明显的是音频同步、运镜控制和物理。与模型一同亮相的还有制片平台 PAI,导演可在同一工作台从剧本推进到剪辑,系统会自动拆出场次和镜头,其中的影响检查功能会在插入新镜头时提示后续镜头人物视线接不上并标记需重新生成。

    一步。 这次和Utopai X一起亮相的,还有全新的 制片平台PAI ,模型就嵌在里面,导演在一个工作台里,就能从剧本一路推进到剪辑。 整个流程大概是这样的,导演把剧本丢进去、选好风格,系统就会自动拆出场次和镜头,角色、场景,以及每个镜头的多个版本,全都摊在一张画布上。 其中比较有意思的一个功能,叫做 影响检查 。 比如导演想在两个镜头中间临时插一个新镜头,Agent会先跳出来提醒——这么一插,后面两个镜头里人物的视线就接不上了,并顺手把它们标成需要重新生成。 至于改哪条、留哪条,最后拍板的还是导演。 而且这套东西已经用在真实项目里了,像 NBA球星哈登 那支以招牌胡子为主角的动画短片,就是先由人定好故事和剧本,再用PAI生成出来的。 今年9月,Utopai又和联合开发了多款宝可梦游戏的日本知名移动游戏与娱乐公司DeNA合作,开始一起探索AI辅助的动画制作流程,这也是PAI商业化的典型案例之一。 当然,对于一家影视公司来说,真正要拿出来见观众的,还得是院线作品。所以接下来,我们就来看看Utopai手里的片单。 首先是 《Cortés》 ,故事发生在1519年,西班牙人科尔特斯进入阿兹特

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  3. MarkTechPost

    Meta AI 开源 Rebalancer:每天处理约 4000 万个分配问题的 C++ 求解器

    Meta 开源了 Rebalancer,一个带 Python 接口的 C++ 分配问题求解库,采用 Apache 2.0 协议,附带文档、PyPI 包和调试 UI Rebalancer Explorer。该库已在 Meta 内部处理资源分配超过 9 年,每天解决约 4000 万个分配问题,覆盖 30 多种建模形式;在 26.5 万个对象和 3200 个 bin 上 P99 求解时间为 12 秒。它把问题描述与求解分离,规格编译成表达式图后可由局部搜索或 MIP 求解器(FICO Xpress、Gurobi、HiGHS)处理,可通过 pip install rebalancer 安装 v1.0.4,支持 Python 3.12+,PyPI 仍标注为 Alpha。

    Meta runs about 40M problems a day; P99 is 12s on 265k objects and 3.2k bins; Apache 2.0, C++ and Python APIs, installable from PyPI today [Sponsored] The web is the one API most agents are missing. Databases, calendars and repos have APIs. The open web mostly doesn’t. The TinyFish MCP server gives any MCP client four tools: TinySearch, TinyFetch (full pages as markdown, JavaScript included), TinyBrowser for logins and forms, and TinyAgent for multi-step jobs. Search and Fetch are free. Asif Ra

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  4. Mastra Blog精选

    Mastra 发布 Connect,可将 Linear、Notion、Slack 等接入智能体

    Mastra 发布 Mastra Connect,用户可通过 CLI 单次授权流程把 Linear、Notion、Slack 等服务连接到 Mastra 项目,并让智能体和 workflow 直接获得现成工具,例如 linear_list_issues、notion_create_page、slack_post_message。Connect 首发支持 23 个 provider、近 900 个工具和 7 个托管 MCP provider,后续将加入 Figma、GitLab 和 Google Analytics。凭据可用 mastra connect add 或仪表盘管理,运行中的应用数秒内即可识别新工具,新增连接无需重新部署。

    You can now connect providers like Linear, Notion, or Slack to your Mastra project with Mastra Connect. Deploy agents that connect to your services from the CLI with a single auth flow. Every connection gives your agents and workflows ready-made tools, such as linear list issues, notion create page, and slack post message. You can manage credentials with mastra connect add, or from the dashboard, and the running app picks up the new tools within seconds. Today, Connect launches with 23 providers

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星期二

  1. Google Blog精选

    Google Earth AI 推出公共卫生预测工具

    Google 发布 Google Earth AI 的公共卫生预测能力,结合卫星影像、移动性数据与 AlphaEarth Foundations、Population Dynamics Foundation Model(PDFM)等基础模型,并搭配 Geospatial Reasoning 智能体原型,帮助公共卫生机构预测疾病暴发并定位高风险人群。在刚果(金)埃博拉疫情期间,WHO AFRO 团队用该智能体原型在数分钟内定位 48 个暴露定居点和超过 45,500 名高风险人员,原本需要数周。PDFM 嵌入向量已以 Population Dynamics Insights 形式在 Google Maps Platform 上预览,研究人员可申请免费访问,符合条件机构可申请 Google Earth credits。

    Collage of images of people receiving healthcare, aerial images of land, and scientific research

    mobility data, and foundation models — such as AlphaEarth Foundations and our Population Dynamics Foundation Model (PDFM) — and pairing them with a prototype Geospatial Reasoning agent, we help communities uncover the complex connections between people and their environments. This enables researchers and public health officials to complement existing health information, bridge reporting gaps, and address health challenges proactively. Bringing agentic capabilities to the front lines Acute healt

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  2. The Decoder

    Cohere 发布 North 2 企业 AI 控制中心,支持任意模型

    Cohere 将企业平台升级为 North 2,用于统一管理 AI 智能体,可自主处理多步骤工作流并跨会话保留上下文。新编排系统让智能体调用共享知识库和可复用技能,并连接 Slack、SharePoint、Jira 等工具,还能从聊天提示词直接生成演示文稿、仪表盘和简单应用。North 2 不绑定模型,除 Command A+ 外可接入企业自有模型,支持本地、云端或完全气隙部署;管理员通过 North Admin 管理 token 用量、用户配额和细到单个智能体的访问权限,智能体执行关键操作前需人工批准。Cohere 称其模型在 Nvidia Blackwell 和 Hopper 硬件上所需 token 更少,LG CNS 和 Bell Cyber 已在生产环境运行 North。

    Cohere turned its enterprise platform into a control center for AI agents with North 2, handling multi-step workflows on their own and retaining context across sessions. A revamped orchestration system coordinates agents that tap into shared knowledge libraries and reusable skills while connecting to tools like Slack, SharePoint, and Jira. North 2 also generates presentations, dashboards, and simple apps straight from text prompts in the chat. Companies can run the platform on-premises, in the c

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  3. MarkTechPost

    Together AI 发布 Together Link:免费 CLI 让 Claude Code、Codex 等接入开源模型

    Together AI 发布免费、MIT 许可的 CLI 工具 Together Link(beta),可把 Claude Code、Claude Desktop、Codex、ChatGPT Desktop、OpenCode 和 Pi 连接到 Together AI 上托管的开源模型。它只需一条安装命令和 Together API key,不运行本地代理,会话默认使用虚拟 auto 模型按首个任务路由,有 Anthropic key 时在 Opus 5.5 与 GLM 5.3 之间切换,否则在 GLM 5.3 与 GLM 5.3 Flash 之间切换。文档列出 Kimi K3、GLM 5.3、GLM 5.3 Flash 和 DeepSeek V4.1 Flash,均为 1M 上下文,其中 Kimi K3 定价为每百万 token 输入 $3.00、输出 $15.00,GLM 5.3 为 $1.40 和 $4.40。

    Together AI has released Together Link, a free, MIT-licensed CLI now in beta. It connects the coding agents developers already use to open models hosted on Together AI. Supported tools include Claude Code, Claude Desktop, Codex, ChatGPT Desktop, OpenCode, and Pi. The idea is simple: keep the harness, swap the model, and shrink the bill. Is it deployable today? Yes. It installs with one command on macOS or Linux and needs only a Together API key. It is in beta, so commands, routing, and the model

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