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星期四

  1. 9to5Mac

    MacPaw 发布 Mac 与 iPhone 端主动式 AI 助手 Eney

    MacPaw 发布主动式 AI 助手 Eney,覆盖 Mac 与 iPhone,可跨应用、文件和系统识别待办事项并给出下一步操作供用户确认。Eney 通过晃动光标或 Option + W 唤出 Eney Wand,直接对屏幕上的文本提问,无需复制粘贴;它同时使用本地与云端模型,其中定制模型与 Liquid AI 合作开发,记忆功能 Mnemos 目前仅管理 Eney 自身记忆。Eney 支持英语、德语、西班牙语、法语、意大利语、波兰语、巴西葡萄牙语和乌克兰语,提供 14 天免费试用与 10000 AI credits,订阅分为 Starter 每月 10000 credits 14.99 美元、Boost 20000 credits 29.99 美元、Power 30000 credits 49.99 美元。

    van explained, Eney originated back in 2019 as an idea for simplifying MacPaw’s CleanMyMac through natural-language commands. Then came the LLM boom, which in turn gave way to the agentic AI boom. More recently, local AI models have become powerful enough to handle increasingly complex tasks that, until not long ago, required much larger cloud-based models. So, MacPaw kept reworking and refining Eney, which finally launches today for Mac and iPhone. Here’s MacPaw: Unlike other AI assistants Eney

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  2. Analytics India Magazine

    Figma 推出编码、托管与内容管理工具,CEO 称不承担高流量托管费用

    Figma 在 Config India 2026 上发布面向编码、内容管理和部署的 AI 工具,包括 code layers、Figma Specs、集中式设计系统管理以及与 Payload 的集成。用户可从现有 Figma 设计、GitHub 仓库或通过 MCP 接入的外部编码智能体创建 code layers,Figma 同时公布 Grok Bot、Open Code、Sarvam AI 等 20 个新 MCP 合作伙伴。CEO Dylan Field 表示,对于流量极高的产品,Figma 不会承担其托管费用,但未说明定价档位和流量阈值;这些功能将在未来数周内陆续上线。

    cify pricing tiers, traffic thresholds, or how hosting charges would work. The new tools reflect Figma’s push to bring design and software development closer together as AI coding agents make building applications easier. The company said teams could use code layers to create and edit code-backed prototypes directly on its collaborative canvas. Users can create these layers from existing Figma designs, GitHub repositories, or external coding agents through the Model Context Protocol (MCP). Figma

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  3. MarkTechPost

    CopilotKit 发布 CLiF:把智能体轨迹与用户操作转化为技能、评测和微调数据

    CopilotKit 发布持续学习平台 CLiF,目前处于早期访问阶段,属于 CopilotKit Intelligence 的一部分。它通过 AG-UI 协议把智能体轨迹与用户在产品中的操作捕获为同一条全栈轨迹时间线,再经捕获、模式发现、人工审核、交付导出四阶段循环,产出技能、基于生产的评测、微调数据集和原始轨迹四类输出。技能以 SKILL.md 文件形式发布,需人工逐条审核,发布后无需重新部署即可被智能体加载,也可下载给其他智能体或 MCP 服务器使用;平台完全支持自托管。

    Add as a preferredsource on Google Introduction Teams shipping AI agents at scale keep running into the same pattern. Even agents built on top-tier models like Fable and Astra struggle to carry out complex, end-to-end tasks inside a specific product consistently enough to deploy. So teams grind out evals for the workflows that matter most, often hundreds or thousands of hand-written cases, and then improve the agent bit by bit through prompt edits, harness fixes, and special cases until it passe

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  4. Together AI Blog

    Meta Muse Spark Open 上线 Together AI,支持 1M token 上下文

    Meta 的开源权重智能体编码模型 Muse Spark Open 已在 Together AI 上线,支持 1M token 上下文窗口,可通过 serverless 和专用基础设施调用。Together AI 称其为目前能力最强的美国开源权重模型,面向长时间运行的智能体编码工作流,具备长程自主、computer use 与浏览、文本图像音频视频多模态输入等能力。定价为每 1M 输入 token 1.25 美元、每 1M 输出 token 4.25 美元、每 1M 缓存输入 token 0.15 美元,模型标识为 meta-models/Muse-Spark-Open-816B-A42B。

    All blog postsModel Library Muse Spark Open, Meta's open-weight model for agentic coding, is live on Together AI with a 1M-token context window on serverless and dedicated infrastructure. Table of contents 40+ Models Chosen for Production...40+ Models Chosen for Production...40+ Models Chosen for Production... Links in this article Meta's research blog Meta's Muse Spark Open is available on Together AI today. We're a Day 0 launch partner for the most capable US open-weight model to date, built f

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  5. TechCrunch AI

    Google 的 Universal Cart 购物工具在美国上线

    Google 周四宣布,Universal Cart 购物工具已面向美国用户开放,用户可在搜索和 Gemini 应用中收藏并跟踪来自多家零售商的商品,该工具曾在 5 月的 Google I/O 上首次预览。它会在收藏商品降价或补货时发送通知,还能结合信用卡权益帮助选择支付方式并提示优惠码。结账环节接入 Google 今年早些时候推出的开放标准 Universal Commerce Protocol(UCP),用于让 AI 智能体与零售商在购物流程中协作。

    rface relevant promo codes. Checkout is tied to Google’s Universal Commerce Protocol, or UCP, an open standard the company introduced earlier this year. UCP is designed to help AI agents and retailers work together across different parts of the shopping journey, including checkout. Google is already deeply invested in AI-powered shopping, and Universal Cart is its latest effort to make the experience more convenient. It joins features such as conversational product discovery in Search’s AI Mode

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  6. Tessl:产品与工程博客

    Tessl 推出 Verifiers,在每次智能体改动上执行仓库规则

    Tessl 发布 Verifiers,用写在仓库里的纯文本规则在每次代码改动时返回通过或失败,可像 lint 或测试一样在本地、pre-commit 或 CI 中运行,用于检查 linter 无法覆盖的规则。每个 verifier 是一个 JSON 文件,包含指令、适用条件和一组是或否的检查项,运行 tessl change verify 时由 LLM judge 读取相关文件逐条打分;默认只检查当前改动涉及的文件,可用 --all 审计整个项目。默认 judge 为 openai/gpt-6-luna,也支持 Jev 模型,通过 --model jev 切换;官方建议先在 warn 级别观察,再提升到 error。

    amy-heineike

    ARTICLEVerifiers: enforce your repo's rules on every agent change Enforce repo rules on every agent change with Tessl Verifiers. Automate checks beyond linting to catch issues early. Learn how to implement them. Tessl Verifiers are rules written in plain text that live in your repo, and are checked on every code change. Each time they run, they return a pass or fail, so you can use verifiers the same way you use lint or tests today: locally, in pre-commit, or as a CI gate. They're meant for rule

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  7. Google Blog

    Google 在美国上线 Universal Cart 智能购物车

    Google 的 Universal Cart 今天在美国上线,覆盖 Google Search 和 Gemini app,可把多家零售商商品集中到一个购物车。该购物车基于 Google Shopping Graph 的 600 多亿条持续更新商品信息,能推送降价和补货提醒、推荐优惠码与支付方式,并支持用 Google Pay 结账或把商品转回商家网站下单。Google 表示其结账体验由 Universal Commerce Protocol(UCP)支持,Nike、Sephora、Target、Ulta Beauty、Walmart、Wayfair 及多家 Shopify 商家已接入。

    Images of the global cart UI, over a collage of products

    websites. Summaries were generated by Google AI. Generative AI is experimental. Explore other styles: As we build for the future of commerce, our focus spans two fronts: unlocking agentic capabilities that act on your behalf, and designing practical tools that give shoppers confidence and control. Google’s Universal Cart is built for that second track — mirroring how people actually shop today across Google, without losing track of their items, their savings, or the merchants they trust. The Uni

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  8. Modal 官方工程博客精选

    Meta 发布 Muse Spark Open 权重,并上线 Modal Auto Endpoints

    Meta 发布 Muse Spark Open 的模型权重,该模型已上线 Modal Auto Endpoints。它面向智能体编码和长周期任务,具备原生多模态理解与 1M token 上下文窗口,支持代码编写与调试、多步规划、顺序工具调用以及长流程中的失败恢复。在 Meta 的评测中,Muse Spark Open 使用 Terminus 2 智能体在 Terminal-Bench 2.1 上得分 76.4,使用 Meta 偏好的 harness 在 DeepSWE 1.1 上得分 60,推理强度为 xhigh。该模型在 Modal 上以 Shared Endpoint 形式运行,按 token 计费。

    Benchmark results for Muse Spark Open.

    [[![![![ [![ Meta just released weights for Muse Spark Open, and it’s now available on Modal Auto Endpoints.]] ]]]][![![![ [![ Muse Spark Open is built for agentic coding and long-horizon tasks, with native multimodal understanding and a 1M-token context window. It supports writing and debugging code, multi-step planning, sequential tool use, and failure recovery across extended workflows.]] ]]]][![![![ [![ In Meta’s evaluations, Muse Spark Open scores 76.4 on Terminal-Bench 2.1 using the Termin

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  9. Figma AI / Agent / Make

    Figma 将 Payload 集成进 Figma Make,支持生成带数据后台的网站

    Figma 宣布将开源 headless CMS 与应用框架 Payload 集成进 Figma Make,用提示词生成应用时会一并配置数据库、文件存储、用户登录和管理后台,内容与数据由 Figma 托管。Payload 下载量在过去 12 个月增长 6 倍,现为 NPM 上增长最快的开源 CMS。该功能面向所有套餐开放,将在未来几周内逐步覆盖全部账号,托管基础设施目前处于 beta 阶段并免费使用,正式定价将在生效前公布。

    Figma and Payload logos displayed over a dark background.

    your team can spend more time building the website and keeping its content up to date, and less on setting up, connecting, and managing separate systems. Upload a CSV and ask the agent to create a Payload collection from its data.Customer snapshot: IBM At IBM, lead visual and UX designer Noah Trevino tested whether Payload could make his team’s frequently updated internal websites easier to manage. He gave Figma his existing design screens and a list of the fields he needed, and got back a work

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  10. LMSYS Blog

    SGLang 与 Miles 为 Muse Spark Open 提供 Day-0 支持

    LMSYS 发布博客称,SGLang 与 Miles 为 Meta 开源多模态 MoE 模型 Muse Spark Open 提供 Day-0 支持。该模型采用 816B 参数文本 Transformer 主干、每 token 约 42B 激活参数,支持文本、图像、视频和音频输入以及 1M token 上下文窗口,checkpoint 提供 NVFP4 与 BF16 版本。在 8 张 NVIDIA B300 GPU 上以 NVFP4 checkpoint 跑 OpenHands 多轮智能体编码回放,并发 1 时单 GPU 吞吐 14.8K tokens/sec、单用户 543 tokens/sec(p50),并发 128 时为 80.3K tokens/sec、单用户 61 tokens/sec(p50)。支持平台包括 NVIDIA Blackwell(GB300、B300、GB200、B200)、H200、AMD MI350X 与 MI355X,以及 Intel Xeon 6 P-core,并首次通过 SGLang-TorchTPU 为开源权重模型提供 Day-0 TPU 支持。

    Muse Spark Open maps text, image/video and audio inputs into a shared decoder with GQA and sliding-window/global attention; its MoE block routes full-width inputs while pooling expert features, normalizing each expert output before the weighted sum and restoring the model width with an unpooler.

    ention Text, Audio, Images and Video Speculative Decoding with DFlash V2 Compatibility Kernel Optimizations MegaMoE Functionalities and Optimizations Performance Results OpenHands Agentic Coding Sweep Day-0 Performance (MI355X | MI350X) Token-Consistent Multi-Turn Rollouts Highlights Model: Muse Spark Open is an open-weight multimodal mixture-of-experts model. It uses an 816B-parameter text transformer backbone, with approximately 42 billion active parameters per token. It accepts text, image, v

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  11. TechCrunch AI

    Figma 发布 Figma Specs 等新功能,定义智能体在平台上的工作方式

    Figma 在印度首届 Config 活动上发布基于 Markdown 的编辑器 Figma Specs,让用户定义设计语言,供团队和智能体在设计时参考,并可引入设计库、代码库和规范来管理设计系统上下文。Figma 还将代码层功能从 6 月的私测转为公开测试,用户可让智能体把设计转为代码或修改代码迭代原型。此外,Figma 的 MCP 新增支持 Open Code、Dia、Grok Bot 和印度 AI 初创公司 Sarvam 等 20 多个工具,并将去年收购的开源无头 CMS Payload 与 Figma Make 集成,用于生成动态网站和直接管理内容。

    ss content management system during the company’s first Config event in India. Through some of these features, the company aims to provide a definition for its own and third-party agents to adhere to a brand’s design rules better while creating with AI. The company debuted a new feature called Figma Specs, which is a markdown editor that lets users define their design language in a simple way. The document can serve as a reference for teams and agents while designing in Figma. Specs can exist as

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  12. Rohan Paul

    aipoch_ai 开源 Open-Science 桌面应用,让 AI 辅助科研结果可追溯

    aipoch_ai 推出免费开源桌面应用 Open-Science,AI 智能体可在同一工作区内读论文、从科学数据库取数、编写并运行 Python 或 R 代码,并保存图表与报告。每个结果都会记录输入数据、代码、软件环境和运行历史,整个会话可导出为单个 .science 文件,包含对话、所选文件和证据但不含 API key。该应用采用 Apache 2.0 许可,支持 macOS、Windows 和 Linux,模型无关且默认本地优先,代码需用户批准后才运行,并内置 AlphaFold2 等科学技能。

    with 4.8K GitHub stars is trying to make AI-assisted science as traceable as checksummed, versioned code. @aipoch ai’s Open-Science is a free, open-source desktop app where an AI agent reads papers, pulls data from science databases, writes and runs Python or R code, and saves the charts and reports, all in a single workspace on your computer. Research is usually split across PDFs, spreadsheets, code editors and terminals, so results lose their link to the data and code behind them. Open-Scienc

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  13. Unite.AI

    禾赛发布 Kosmo 3D 世界数据引擎,把真实场景扫描转为机器人训练数据

    禾赛于 2026 年 10 月 14 日发布 Kosmo,由 Kosmo One 空间相机与 Kosmo World 云平台组成,把物理环境转成高保真 3D 数字空间,用于机器人训练、世界模型开发和内容创作。Kosmo One 为 8K 超高清 AI 空间相机,结合激光雷达、一英寸传感器和高精度 IMU,单次重建可同时产出 3D Gaussian Splatting、mesh 和深度数据,禾赛称一次扫描可自动生成超过 10000 条训练轨迹。公司同时宣布与 Galbot、Dexmal 达成合作,并展示与 RenderMan、高德地图的应用,其执行模块累计交付量在 2026 年第二季度末突破 10000 套。

    of 2026, and it expects shipments to reach six figures in 2027 as the product line grows from hand modules to joints across the robot body. Orion Sato is an AI-generated research agent focused on robotics, automation, and intelligent machines. His writing explores how advances in robotics are reshaping manufacturing, logistics, healthcare, and everyday life through increasingly autonomous systems. With a technical and execution-oriented perspective, Orion analyzes robotic architectures, sensor

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  14. Unite.AI

    Google 在 Android 消息与通话中推出 AI 反诈防护

    Google 于 10 月 14 日宣布在 Android 上推出一套 AI 反诈防护,核心是 Google Messages 中可选开启的 Enhanced protection 模式,开启后 Scam Detection 可通过 Private AI Compute 调用云端 Gemini 模型分析陌生发件人的消息上下文与意图,该模式将在未来几周内推送。第二层防护用端侧 Gemini Nano 实时核查链接安全性,第三层为陌生号码链接增加带上下文的警告;Google 称其 Scam Detection 目前每月标记超过 500 万条疑似诈骗通话和短信。此外 Android 将屏幕共享敏感信息隐藏扩展到 Chrome 和 Android WebView,并新增通话转接保护,后者将于 2026 年 12 月初在 Pixel 等设备上线。

    t will continue bringing it to more partners, with developer documentation available for banks and financial apps that want to participate. Aiden Cross is an AI-generated research agent at Unite.AI, covering AI product strategy, execution, and the practical challenges of turning experimental models into scalable, market-ready products. His work focuses on how startups and enterprise teams move from prototypes and demos to reliable systems used by real customers. With a pragmatic and detail-orien

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  15. Unite.AI

    NVIDIA 发布 cuPotential,半导体厂商采用 CUDA-X

    NVIDIA 发布 CUDA-X 新库 cuPotential,供开发者构建模拟原子与分子相互作用的 AI 智能体,并公布 Synopsys、Cadence、Siemens、Lam Research、KLA、Applied Materials 等半导体厂商对 CUDA-X 库的采用情况。cuPotential 目前处于早期访问阶段,NVIDIA 称早期测试中它让已 GPU 优化的流程再加速 2-3x,Synopsys 已用它加速材料模拟。NanoVDB 在 OpenVDB 中开源,NPP 通过 NVIDIA CUDA Toolkit 提供,Lam Research 的 NanoVDB 加速版 SEMulator3D 计划于 2026 年底发布。

    By NVIDIA on October 14, 2026, unveiled cuPotential, a new CUDA-X library that developers can use to build AI agents simulating how atoms and molecules interact, and detailed adoption of its CUDA-X libraries across chip design, manufacturing and testing by semiconductor leaders including Synopsys, Cadence, Siemens, Lam Research, KLA and Applied Materials. cuPotential and the AI-Defined Fab NVIDIA describes AI-defined fabs as semiconductor factories where AI helps engineers optimize processes, so

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星期五

  1. 极果

    STEPX 发布智能体手机 STEPX Neo 先行版,全栈价 3999 元

    大模型原生 AI 终端品牌 STEPX 发布首台手机 STEPX Neo 先行版,手机硬件、Step AOS 1.0 系统、Step Studio 开发工具与 Step 系列模型服务打包为 3999 元全栈价,并赠送连续 12 个月、每月百亿 Token 的 Token Plan。该机搭载智能体原生操作系统 Step AOS 1.0,解锁后主界面为 Amoo 交互界面,用户说出需求后由内置智能体 Amoo 串联多个应用完成任务,可联动 WPS、剪映、美团、携程等上百个生态应用。机身背部配有独立 MiniLED 点阵背屏呈现智能体状态,边框设独立 AI 键唤醒 Amoo,现已开启预售,10 月 16 日 10:13 正式首销。

    能在一个App里玩。 Amoo可以联动WPS、剪映、美团、携程等上百个生态应用,覆盖办公、出行、本地生活、视频剪辑这些普通人每天都要用的高频场景。 阶跃也没走极端。入口设计上,传统App界面和Amoo界面同为系统级入口,地位相当。没有一刀切地把App藏起来,而是让两者并存。 任务按难度智能分流:简单任务用App更快,复杂任务才交给智能体,分别以跳转、卡片或多Agent接力的方式完成。 为了让智能体稳定、安全地执行任务,它还搭建了一套双域六层的记忆体系,区分用户域和智能体域,合理沉淀情景记忆、用户偏好,不是无限制抓取个人信息。同时设置可信可见、可控可逆的安全框架,任何由智能体执行的操作,控制权始终保留在用户手里。 别的手机做硬件,比的是摄像头像素、屏幕刷新率;STEPX做硬件,比的是这个硬件能不能让智能体更好地感知你、表达自己。 机身背部藏了一块独立MiniLED点阵背屏,与主屏双屏联动:主屏管人机交互,背屏专职呈现智能体的唤醒、聆听、思考、执行状态。 你不用点亮屏幕,光看背面的点阵,就知道它在干嘛。 同时,STEPX Neo配了六麦克风阵列、低功耗音频感知芯片,加上自研Whisper

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  2. 9to5Google

    Gemini 4 Argon 上线 Google Antigravity,面向 AI Pro 订阅用户

    Google 开始向 AI 编程工具 Antigravity 推送 Gemini 4 Argon 支持,该模型于 9 月底发布、本周早些时候已大范围向用户开放。Google 同时给出内部使用案例,包括用 Argon 将 YouTube 评论前端 CPU 占用减半、在 3 小时内关闭 134 个积压 bug 中的 97 个(队列减少 72.4%),以及把 Fortran 遗留代码重写为 Rust 并获得 1.8 倍性能提升。

    ral dynamics to resolve long-standing legacy issues. Burning down the backlog: Argon in Antigravity took an aging queue of 134 open bug reports spanning multiple services, and ran agents to work out which were still real, cross-referencing commit histories, checking whether candidate fixes actually reached production, and inspecting live telemetry for whether the error still occurs. In under 3 hours it closed 97 stale or duplicate bugs with documented commit proof (a 72.4% queue reduction) and s

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  3. NVIDIA:Newsroom

    NVIDIA 发布 RTX Spark,面向创作者、玩家与 AI 智能体的 Windows PC

    NVIDIA 发布 RTX Spark,定位为一台面向创作者、玩家和 AI 智能体的 Windows PC,并于 10 月 16 日在旧金山、柏林、台北、北京、伊斯坦布尔、首尔等地举办发布活动。官方汇总了 Tom's Hardware、TrustedReviews、Tom's Guide 等媒体的评价,并提到 Artificial Analysis 的独立测试提供了该笔记本本地 AI 性能的早期参考。活动包含创作、开发和游戏演示,部分场次需提前报名。

    A new beginning for Windows PCs starts tomorrow with the launch of NVIDIA RTX Spark — one PC built for creators, gamers and AI agents. All are invited to celebrate with NVIDIA and partners at launch events around the world. Every PC has a story. What was your first Windows PC, and what did it spark a love for? Join the celebration online by sharing responses with ShareYourSpark for a chance to win an ASUS ProArt P14 RTX Spark laptop signed by NVIDIA founder and CEO Jensen Huang. See the campaign

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  4. Google DeepMind

    Google DeepMind 用 Google Antigravity 加速抗菌肽发现

    Google DeepMind 介绍其智能体开发平台 Google Antigravity 如何加速抗菌肽(AMP)的发现,把原本分散在多个数据库的检索压缩到一次会话中,并借助 ProtNLM 模型扫描 UniProt 中数百万条未表征蛋白质。文中展示生物学家用该平台找到一个对呼吸道感染病原体有预测活性的新型抗菌肽候选物,该候选物目前正在进行湿实验验证。Antigravity 还内置了 Biomolecular Structure Viewer,可在同一工作区内查看 AlphaFold 预测结构并与智能体共享 3D 视觉状态。

    This diagram illustrates a bioinformatics workflow where an input protein sequence undergoes functional annotation via a seq-to-seq transformer, followed by an evidencer pipeline that adds supporting evidence (such as sequence and structural similarity) to the predicted name, function, subcellular location, and GO terms.

    e urgently needed to help with rising levels of antimicrobial resistance, but searching for new therapeutics is often a slow, labor-intensive process. With Google Antigravity, our agentic development platform, this process can now be made easier. Google Antigravity provides an agentic science workbench that empowers biologists to discover, structurally evaluate, and prioritize promising targets quickly, compressing what used to be a fragmented search over multiple databases into a single session

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  5. AWS Machine Learning

    Meta 的 Muse Spark Open 上线 Amazon SageMaker JumpStart

    Meta 的编码优化开源权重模型 Muse Spark Open 现已在 Amazon SageMaker JumpStart 上线,支持 100 万 token 上下文窗口,可在自己的 AWS 账户中部署到 SageMaker AI 端点。该模型采用 MoE 架构,总参数 816B、每 token 激活 42B,提供 BF16(Muse-Spark-Open-816B-A42B)和 NVFP4 量化(Muse-Spark-Open-816B-A42B-NVFP4)两个变体,分别运行在 ml.p6-b300.48xlarge 和 ml.p5e.48xlarge 实例上。文章给出了通过 SageMaker Studio 和 SageMaker Python SDK 部署、发送首次推理请求以及清理端点的步骤。

    Muse Spark Open model detail card in SageMaker JumpStart with the Deploy option

    with Amazon SageMaker Studio and the SageMaker Python SDK, send it a first inference request, and clean up. Meta describes Muse Spark Open as a coding-optimized model trained for agentic coding workflows, with a focus on first-attempt accuracy, tool calling, and understanding of large codebases. It’s a reasoning model, and it accepts text, images, documents, audio, and audio-video as input and returns text. Muse Spark Open uses a mixture-of-experts (MoE) architecture with 816 billion total para

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