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今天10月30日周五11 条
  1. Aravind Srinivas52

    Perplexity CEO Aravind Srinivas 推荐用 Perplexity Computer 上的 /unbroker 技能删除自己在数据经纪商网站上的信息。该技能由 @SHL0MS 开发,已上线 Computer 技能市场,可查找个人在数据经纪商网站上的记录并起草退出申请,每份申请发送前需用户批准。11 月 6 日前通过 /unbroker 执行的任务免费,每名用户最多 5,000 credits。

    引用Computer@AskPerplexity

    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.

  2. Rohan Paul40

    Mintive 发布平台,为每个 AI 智能体分配独立身份和权限,并已完成 1100 万美元融资。平台让赋能团队接入工具与智能体,安全团队则设定统一策略,所有调用都需通过该策略校验。据称 Modern Treasury 用它在 3 周内上线银行运营智能体,将原本 4 小时的任务缩短至几分钟;密歇根大学则将其用于 15 万名学生、教职员工。

    引用Jiquan Ngiam@JiquanNgiam

    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.

10月29日周四
  1. Rohan Paul53

    AgentWeb 发布面向通用 AI 智能体的网页任务基础设施,让智能体不通过浏览器、直接调用映射好的操作来完成网站任务。实测在 15 个政府门户、7 家保险公司和 25 个需登录的网站(如 Amazon、LinkedIn)上完成 47/47 项真实任务,中位耗时 1.9 秒,全程成本 3 美元。

    引用Andrey@Andrey__HQ

    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

  2. Wiz:Research70

    Wiz 分析智能体攻击的七大指纹与发展趋势

    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。

  3. Rohan Paul47

    Snaptrude Agent 可从场地或任务书直接生成施工就绪的 LOD 400 建筑模型,包含结构、MEP 与完整图纸集,建筑师可逐步掌控。早期访问中 2000 多名设计师自 9 月起已运行超 2.5 万个任务,用户累计消耗超 1400 亿 tokens。团队还推出 AECBench 基准,用于检验 AI 在 AEC 场景下的设计正确性。

    引用Altaf Ganihar@altafganihar

    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.

  4. 404 Media79

    404 Media 起底 Proton 内部 AI 转型之争:CEO Andy Yen 强推 AI 引发恐惧文化

    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。

  5. Tessl:产品与工程博客55

    Tessl 工程博客探讨 AI 软件工厂的成本该由谁负责

    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。

  6. n8n Blog56

    n8n 自动化团队负责人谈如何走出服务台模式

    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。

  7. TypeSafe AI53
    引用Shengkun Ye@shengkunye

    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.

  8. Alex Heath50

    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。”

    引用Alex Heath@alexeheath

    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

  9. Arena.ai68

    Arena 宣布 Gemini 4 Carbon (High) 首次上榜:Text Arena 第一(1528 分),Agent Arena 第二(+16.2% 净提升),Code Arena: WebDev 第四(1768 分)。

    引用Arena.ai@arena

    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!

  10. Sierra:Blog43

    Sierra 推出 Compliance Console,为长周期 AI 智能体提供合规管控

    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。