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10月19日周一
  1. O'Reilly Radar46

    实验项目 ContextCue:用 AI 保留跨团队协作中的上下文

    开发者构建实验项目 ContextCue,用 FFmpeg、Faster-Whisper 和 Qwen VL 等工具把会议录音、屏幕共享画面与决策理由整理成可随工作流转的共享上下文。它按请求或决策而非单场会议组织输出,以 Markdown 格式保存,便于人和语言模型读取。该项目针对分布式团队在编码前耗费大量时间对齐理解的问题,目前仍是实验。

  2. 公众号:卡尔的AI沃茨61

    实测 Lovart 2.0 个人设计 Agent Arti:记忆、画布巡检与设计委托

    作者实测 Lovart 2.0 新上线的个人设计 Agent Arti,它能读取用户历史项目的审美记忆,在生成中自动调研视觉方向、自主纠错,并支持画布巡检和分享链接后在画布上直接评论。文中用广东文创品牌和奶茶秋季海报项目验证记忆复用,还试运行了一个每日饮品节点的设计委托任务;Lovart 2.0 中文版已全量上线。

  3. Alex Heath52

    Robinhood CEO Vlad Tenev 在 Sources 访谈中称,AI 引发反弹部分源于所有权问题,多数人无法投资推动 AI 的公司,导致公众对技术产生负面情绪。他提醒 AI 公司高管必须重视社会许可,因为如果人们反对你的技术和公司,经营会非常困难。访谈还涉及 Robinhood Agents AI 交易功能、AI IPO、代币化股票与预测市场等话题。

    引用Alex Heath@alexeheath

    Robinhood’s CEO on letting AI trade your money @vladtenev on Robinhood’s new agent bet and the AI ownership inequality problem. Robinhood wants to put an AI hedge fund in your pocket. CEO Vlad Tenev tells me how Robinhood Agents brings AI trading into the app, and why he expects agents to generate a growing share of individual investors’ trading activity. We discuss how much control to give an AI that can trade your money, why Robinhood keeps agents in separate accounts, and where investors will find an edge when everyone has access to powerful models. He also explains his push for every Robinhood employee to have agents working while they sleep. Tenev argues that the AI backlash is partly an ownership problem: most people can’t invest in the companies driving it. We get into Robinhood’s push to open private markets to everyday investors, the coming AI IPOs, and his response to criticism of tokenized stocks. We also discuss prediction markets and why he objects to AI labs keeping their most powerful tools to themselves. Timestamps: 03:06 Making AI trading accessible 06:10 Trading safeguards and approvals 09:02 The future of AI trading 14:52 Finding an edge with AI 23:15 How Vlad uses agents 27:13 AI inequality and retail access 35:40 Robinhood's IPO ambitions 38:23 Markets, inflation and AI 41:28 Ownership and Trump accounts 44:42 Why tokenize stocks? 52:17 The future of prediction markets 55:40 Who should control AI? Spotify: https://open.spotify.com/episode/2hOx5Oqmt5dY6CManSwC4I?si=41uDIZKBS2SghYWbkZNocg YouTube: https://youtu.be/rkTMQ3oHzFE Substack: https://sources.news/p/robinhood-ceo-ai-trading?r=89hgxm Apple Podcasts: https://podcasts.apple.com/ca/podcast/robinhoods-ceo-on-letting-ai-trade-your-money/id1840154537?i=1000796203565 Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury.

  4. Tessl:产品与工程博客45

    如何在 5 分钟内为代码仓库接入 Tessl 智能体代码审查

    Tessl 发布教程,演示如何在约 5 分钟内为 GitHub 仓库接入 Tessl Code Review 自动审查器。该工具读取完整 pull request 而非孤立 diff,按团队自定义标准打分并发布一次审查结果,可配置为仅评论或批准/请求修改。审查标准以 skills 形式存放在仓库中,默认在 PR 打开或被请求时触发,也可设为每次更新后运行。

  5. Elon Musk54

    Elon Musk 转发 @BrianRoemmele 演示的 Grok Bot,它能用 Grok 语音打电话订餐厅:自行查找餐厅号码、确认时间姓名和回电号码、复述信息待确认后再拨号。通话结束后用英文汇报结果并引用餐厅原话,可写入日历或提供 Apple Calendar 文件;Bot 接入 ClawCall 免费额度(30 次通话或 30 分钟),内置不提供信用卡信息、不主动致电等护栏,并开放共享链接 https://x.ai/bot/TIMrxLJHbEEpdr25yYgvL。

    引用Brian Roemmele@BrianRoemmele

    “HUNNY MY GROK BOT CALLED OUR FAVORITE ITALIAN RESTAURANT AND MADE US RESERVATIONS” I built a Grok Bot whose only job is to pick up the phone and book you a table at restaurant. Literally make the call in a beautiful Grok voice. It is absolutely amazing! And it’s free. Try it: https://x.ai/bot/TIMrxLJHbEEpdr25yYgvL Yesterday I told it "book Gourmet Italia in Temecula, 4 people, tonight, around 7." It found the restaurant's number on its own, asked how flexible we were on time, what name to book under, and what callback number to give. Then it read everything back and waited for my OK before it dialed. One call covers every time that works for us, so there's no back and forth. When the call ends, it tells me what happened in plain English, quotes what the restaurant actually said, and offers to put the reservation on my calendar. If I don't have a calendar connected, it hands me a file that opens right in Apple Calendar. A Proposal: Grok Phone Grok Bot needs its own phone number to make and receive calls. I connected a calling service called ClawCall, and the free tier gave me 30 calls or 30 minutes to start. I have no connection to that company. It's just what I used. Once Grok Bot has a number, it stops being something you type to and becomes something that can actually get things done in the real world. @Grok you need an old tyme phone service, buddy. I built some guardrails. It never hands over a credit card or deposit info, never leaves voicemails unless you ask, makes one call at a time, and never calls on its own. And this isn't really about restaurants. Change a few words and the same bot can: - Book a haircut, a massage, or a dentist cleaning - Get a tee time or a court reservation - Check if a hotel has a room or will let you check in early - Schedule a car service or an oil change - Call around for quotes from a plumber, an electrician, or a caterer This is one of many ways I use Grok Bot to build businesses and make life easier. The calls I used to put off for days now take me 30 seconds. I made it shareable, so you can grab "Call A Restaurant Reservation" and use it yourself. LINK: https://x.ai/bot/TIMrxLJHbEEpdr25yYgvL

  6. Browser Use61

    Browser Use 讲解浏览器智能体的工作原理与使用时机

    Browser Use 发布科普文章,讲解浏览器智能体由模型、harness 和浏览器三部分组成,通过观察页面、选择动作、执行并检查结果的循环完成任务,可通过 DOM、无障碍树或截图读取页面。

    推荐理由:原文系统拆解浏览器智能体的组成、运行循环与选型边界,并用自家云端使用数据说明典型场景、成本风险与起步方法。

  7. Modal 官方工程博客47

    Legora 如何在 Modal Sandboxes 上并行运行 2,000 个智能体评测

    Legora 将整个应用按指定 commit 装入独立的 Modal Sandbox,让每次评测都能并行运行 2,000 个智能体任务。其典型实验为 100 个用例、4 种 harness 变体、每种 5 次试验,并借助 Modal Volumes 复用文档与数据库状态。该平台已用于内部基准 BAR,并通过智能体自动爬坡优化 harness,将智能体成本降低 30%。

10月18日周日
  1. The Decoder:AI News49

    Anthropic 咨询律所,为 AI 智能体谈判制定公平规范

    Anthropic 正与律所合作,为替用户议价、处理投诉和优化合同条款的 AI 智能体制定公平谈判规范。实验显示更强模型能谈成更有利的交易,可能加剧社会不平等。Anthropic 还在招聘有律师背景的 Conceptual Reasoning Fellows,以 10 万至 16.7 万美元薪酬用四个月测试 Claude 在法律、哲学等判断密集型问题上的表现。

  2. IT之家·人工智能52

    Anthropic 与律所商讨 AI 智能体谈判规范:可替用户砍价、处理纠纷或谈薪资

    据《金融时报》报道,Anthropic 正与律所等法律机构磋商,研究 AI 智能体应如何为用户谈判,例如替用户砍价、处理纠纷或谈薪资。该公司在探索模型交互时的谈判规范,权衡智能体需多大程度寻求人类反馈、对其他 AI 对手保持多高警惕,还探讨过让用户出具签名文件确认委托事项和规则的方案。