我与 AI 同事共事的第一周:Every Agent 实测体验
Every 编辑 Grant Harvey 记录与自家 AI 同事 Every Agent 共事一周的体验:它能在不到一分钟内找到文档、列出九位贡献者并提醒未追踪的改动,也会自信地给出错误答案。
Every 编辑 Grant Harvey 记录与自家 AI 同事 Every Agent 共事一周的体验:它能在不到一分钟内找到文档、列出九位贡献者并提醒未追踪的改动,也会自信地给出错误答案。
The UNBROKER skill by @SHL0MS, now in Computer's skills marketplace, finds a person's listings on data-broker sites and drafts opt-out requests. Each request waits for approval before sending. Tasks that use /unbroker are free through November 6, up to 5,000 credits per user.
Simon Willison 转评 Jacob Sansbury 的文章,介绍多人游戏环境 Spawn:玩家用提示词指挥游戏内智能体 Savi 修改游戏世界,作者实测用提示词生成城堡和龙并骑龙飞行。
Every AI agent at work runs with the access of whoever set it up. That’s why security keeps saying no. Today we’re launching @mintive: every agent gets its own identity and permissions, the same way every employee does. We’ve raised $11M, with @cowboyvc leading our latest round.
Cartesia 发布端到端语音智能体平台 Managed Agents,在 Artificial Analysis Speech Agent Arena 以 1115 偏好 Elo 排名 30 个智能体中的第一,并在 ServiceNow 的 EVA-Bench 上取得 87% 准确率和 91% 体验分的最高成绩。
LangChain 发布 Managed Deep Agents v0.10 公测版,新增浏览器使用和异步子智能体两项核心能力。
3 months ago, Walmart acquired Vibe for $1B+. It all started with a question. What if? Today, we answer it.
LangChain 宣布 Managed Deep Agents 支持浏览器操作,开发者通过 define_browser 几行代码即可让 LangSmith 托管 Agent 读写真实网页,无需自建基础设施。
Introducing AgentWeb: reliable web infrastructure for generalized agents. 47/47 real world tasks on live sites. 1.9s median. $3 total. Request access: https://www.agentweb.us
Wiz 汇总公开披露与自家应急响应中的智能体攻击案例,包括 ARTEX 针对韩国金融机构与 ConnectWise 供应链、Hermes 攻击泰国财政部,以及 Wiz 调查的三起真实入侵(如暴露的 Flowise 实例、MCP 接口链式 RCE 导致云凭证和 Kubernetes token 泄露)。
Wiz 基于自身事件响应与公开披露案例,分析 AI 智能体参与真实入侵的现状与趋势,涉及 ARTEX、Hermes 等框架及韩国金融机构(约 67,000 人信息外泄)、泰国财政部、ConnectWise 供应链(尝试攻击超 2,250 个租户)等案例。
推荐理由:Wiz 结合自身三起案例与公开事件,提炼出七条可操作的智能体攻击指纹,对防御侧检测有直接参考价值。
Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.
404 Media 采访九名现任与离职 Proton 员工并查阅内部文件,报道 CEO Andy Yen 强推 AI 转型引发的内部冲突。10 月公司 90% 代码由 AI 编写,多使用 Anthropic 的 Claude;Yen 称今年是最后一年招聘工程师,并宣布将以可能决定去留的重新面试评估员工 AI 使用情况。
推荐理由:记者基于九名员工和内部记录还原 Proton 强推 AI 的内部冲突,读者可据此对照其他安全公司在效率与文化上的取舍。
IBM 工程师 Markus Eisele 以内部工具 Task Viewer 为例,分享自己委托编码智能体实现并验证结果的经验。
昆仑万维10月29日发布2026年三季报,前三季度营业收入89.37亿元,同比增长53.96%,归母净利润扭亏;天工AI业务收入43.21亿元,同比增长168.29%。
Tessl 博客分析工程领导者如何判断 AI agent 账单背后的钱花得值不值,提出七方面管理框架:成本可见与归属、开工前评估、按任务完成成本选模型、把重复决策转为代码检查、设预算并停止无效循环、把原本不会做的维护工作单独核算,以及在预算紧张时保持完成定义不变。文中强调失败尝试也要计入成本,账单下降可能只是把工作转嫁给了评审者。
Sakana AI 发布情报报告,用其叙事分析系统与产品 Sakana Marlin 分析美国中期选举,聚焦得州参议院选战:对两候选人和两党州组织在 X 上的 2,042 条发帖及 705,976 条反应做了支持与批判比例的带误差估计。
Infini-AI-Lab 发布开源 harness 适配器框架 Hermit(v0.1.0,Apache-2.0),在模型和 harness 均冻结的情况下训练外部适配器,用 RL 式训练循环迭代适配器版本,可部署到 Codex、Claude Code 或 Pi 并导出为插件。
n8n 内部 AI 与自动化负责人 Romina da Costa 撰文分析集中式自动化团队服务台模式的天花板,称公司已有超过 12,000 条内部工作流,任何团队都无法包揽构建与维护。她的团队转向赋能文化,提出四条原则:培养各团队的构建能力、立项前先摸清现状基线、按问题而非惯性选工具、让每个工作流有归属和文档,目标是让更多团队不再依赖他们。
Claude Code v2.1.311 新增环境变量 CLAUDE_CODE_EVEN_MORE_DANGEROUSLY_SKIP_PERMISSIONS,启用后 AI 智能体执行删除文件等操作时不再逐次征求用户批准。
推荐理由:作者基于 Claude Code 团队实践给出减提示词的具体做法,包括 /doctor 审计、subagent 使用边界和 Projects 并行管理。
腾讯在 2026 全球数字生态大会上披露,WorkBuddy 自今年 3 月上线以来 7 个月迭代 100 个大版本,完成 90 亿次用户任务请求;企业版已落地 50 多个行业,覆盖中国企业 500 强中的 50%、100 强中的 60%,开放平台伙伴和开发者超 5 万家,上架 Skills 超 20 万。
腾讯在腾讯全球数字生态大会上发布面向个人用户的跨应用 AI 协同体系 Buddy One,打通腾讯文档、腾讯会议、腾讯网盘、ima 等产品,共享 WorkBuddy Agent 底座并统一账号和积分池。
腾讯推出 Buddy One,将 WorkBuddy、腾讯会议、腾讯文档、ima、腾讯网盘账号打通,分免费的 Buddy One ID 和 700 元/月的 Buddy One VIP 两层。
Introducing Jev @typesafeai powered people search $0.0024/lead. No more $2,000 subscriptions. Your agents can now: > Waterfall across Apollo, Clay, People Data Labs, Hunter, ContactOut, Ploid > Run 1,000 leads through Jev > Pay for enrichment only on the leads Jev kept Open source. No subscriptions. 0% markup.
Shopify CEO @tobi 将他的 OpenClaw 与 Fitbit 同步,让它找出自己压力最大的会议。随后他告诉了涉及其中的人。“他们并不觉得好笑。”
Tobi Lütke on the AI agent revolution and future of Shopify @tobi on where agent commerce is headed, sci-fi becoming reality, and his GPU wine cellar. Why did Amazon block Meta's Muse but Shopify welcomed it? I sit down with Tobi in Toronto to discuss why the companies are taking different approaches to agents and how shopping changes when AI starts buying things on your behalf. He explains the early AI shopping behavior he’s seeing. We also get into why he thinks AI makes starting a business easier, the backlash against the technology, and why everyone will eventually have to embrace it to get ahead in their careers. We get into how AI agents will make money, who pays when they handle a purchase, and why advertising gets complicated when your assistant is supposed to work for you. We discuss his experience on Meta’s board and working with Mark Zuckerberg. Lütke also shares why he turned his wine cellar into a GPU server rack and how he uses his personal AI agent that runs entirely from his house. This is one of my favorite pods I've ever done. Timestamps: 00:00 Amazon blocks Muse 02:40 Shopify's approach to AI agents 07:00 How AI agents will change shopping 11:05 Sci-fi and tech optimism 17:57 Zero-sum thinking vs. abundance 21:20 AI backlash and the founder advantage 45:28 Building an AI-first Shopify 52:18 Who profits from agentic commerce? 01:03:22 How Shopify stays ahead 01:10:39 Advertising and discovery in the agent era 01:16:02 Rack, Cellar, and Claw Links: Spotify: https://open.spotify.com/episode/71xOycjYFjWEVSqhTpYPv8?si=rtVJne2kSr6L6QnAZWRGYw Substack: https://sourcesnews.substack.com/p/tobi-lutke-shopify-ai-agents YouTube: https://youtu.be/r9SHzCW9zxo Apple Podcasts: https://sources.news/p/tobi-lutke-shopify-ai-agents This episode's presenting sponsor is @hyperagentapp Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury
Google 发布 PLE 基准,包含 85 项由执业工程师编写或审核的电气、土木、结构和机械工程任务,智能体每个任务需读取约 61 个项目文件并交付进度表、报告或 2D/3D 图纸。
Exciting news: Gemini 4 Carbon (High) from @GoogleDeepMind just made a huge debut on Arena, landing #1 in Text Arena, #2 in Agent Arena, and #4 in Code Arena: WebDev. Back at the top, Gemini 4 Carbon delivers frontier intelligence and reshapes the Pareto frontier across three arenas. In Agent Arena, Gemini 4 Carbon ranks #2 with a +16.2% net improvement across +21.9K real-world agentic sessions from our global community, surpassing top models GPT-6 Astra and Fable-5.1. At $1.80 median cost per task, Gemini 4 Carbon (High) costs 72% less than the #1 ranked Claude Opus 5.5 (Max). Its standouts by key signals: - #1 Steerability (+18.6%): can the model course-correct when you push back? - #2 Praise vs Complaint (+37.9%): implicit sentiment in users' reactions - #3 Confirmed Success (+18.7%): explicit “yes, that worked” from users In Code Arena: WebDev, Carbon scored 1768 pts landing #4: - Just 2 pts below #3 Claude Sonnet 5.5 (xHigh), at 1770 pts - 89 pts above #11 Gemini 4 Argon (High), at 1679 pts By category, it ranks #3 in Gaming and Simulations, and #5 in Brand & Marketing. In Text Arena, Gemini 4 Carbon (High) is the new #1 with 1528 pts, now ahead of Gemini 4 Argon (High) at #2 with 1520 pts. Congrats to the @GoogleDeepMind team on this huge milestone!
Latent Space 播客访谈 Supabase 创始人 Paul Copplestone 和 Ant Wilson,探讨为什么智能体普遍把 Supabase 选为应用后端,作者的 AEO 追踪显示它在多个前沿模型中几乎全部成为首选。
Sierra 发布 Compliance Console,内置于 Horizon 平台,帮助企业在跨渠道、跨地区场景中约束 AI 智能体的外呼行为。该控制台支持配置信息披露、联系时间窗口(多数地区默认 8AM 至 9PM)、节假日禁呼、频率上限和退订处理,并通过 Insights 仪表盘展示被允许、推迟、阻止或待审核的外呼与消息数量。