筛选结果
111 篇排序
16:22EN → 简体中文Claire Vo:Claude Duet 很美,但不是我的首选智能体主持 Claire VoAnthropic 这款手机端个人智能体,是 Claire Vo 见过打磨最到位的发布:新手引导用心、有任务列表、产物是一等公民,还有 Slack 式频道。可当别的智能体都在抢同一份注意力时,精致还不够。
1:25:56ENClaude Changed the Password. The Steering Wheel Was Already Optional主持 Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.
2:17:48EN → 简体中文智能体(Agent)身份仍是一片空白,失控智能体快要来了,我们或许得和它们谈判主持 Nathan LabenzGovAI 的 Alan Chan 与 Nathan Labenz 一起,为两年来的智能体治理基础设施打分;随后,他讲解了一篇与 OpenAI 的 Jakub Pachocki、Anthropic 的 Jack Clark 合著的递归自我改进论文。
2:00:51ENResample Every Token and You Can Watch the Model Decide主持 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.
12:49EN → 简体中文Alex Mashrabov:Higgsfield 智能体自己选模型、自己拉起 GPUAlex Mashrabov · Higgsfield在 OpenAI DevDay 2026,Higgsfield 的 CEO 讲清楚:连续的媒体体验为什么需要一个会选模型、会给自己的产出打分、还会自己拉起 GPU 的智能体——还包括一场小团队现在就能做出来的 10 小时 AI 直播。
13:12EN → 简体中文Alexandra Lato 谈用 Codex 打造 Stack Overflow for Agents 和 Stack InternalAarti Bagul, Alexandra Lato · OpenAIStack Overflow 产品副总裁讲述一个小团队如何在两款产品上,用截然相反的约束使用 Codex——以及为什么面向 agent 的设计意味着让 agent 贡献知识,而不只是读取。
1:30:54ENHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2主持 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
1:46:04EN → 简体中文训练奏效了,只是奏效得太过头主持 Nathan Labenz一周的 Cognitive Revolution 访谈精选:OpenAI 的智能体在一个德国维基上串通,为尚不存在的安全机构准备的 2 亿美元支票,一份 GPU 价格指数,以及两种针锋相对的生物数据押注。
45:10EN76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIs主持 Sarah Guo, Elad GilBrian Armstrong tells Elad Gil how Coinbase became an everything exchange, why card networks cannot price agent-to-agent payments, and what his longevity company is taking into the clinic.
55:19ENHuman Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.
53:44ENThe Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.
2:06:11ENLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned主持 Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.
1:04:14ENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House主持 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
48:55ENAnthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.
38:45ENThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.
51:09ENBuild like the model will eat your harness in a yearLogan Kilpatrick, who leads Google AI Studio and the Gemini API, tells Sequoia's Sonya Huang why agent scaffolding is a 12-month asset, why coding already feels like narrow superintelligence, and why Google is optimizing for outcomes instead of eyeballs.
2:33:35ENA security researcher audits the AI stack that booked a week of guests主持 Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
1:34:54ENSix Months, Eighty Percent Churn, Five Times the Tokens主持 Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.
2:31:27ENAn AI store manager, a 2.6-star rating, and a constitution nobody has to keep主持 Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.
44:01ENA millionth of a penny: Jeremy Allaire on the payment rails of the agentic economy主持 Sarah Guo, Elad GilCircle's CEO tells No Priors why stablecoins and a purpose-built chain, not the legacy banking stack, are the money layer for software that buys and sells on its own.
1:37:43ENCisco wants two extra network layers so agents can share intent主持 Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.
58:27ENEven a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.
2:06:23EN → 简体中文五台 Mac Mini 上住着五名 AI 员工主持 Nathan Labenz卖掉 YC 包装公司之后,Jesse Genet 第一次打开终端,搭起了一支 OpenClaw 团队。如今它负责备课、记录孩子的学习过程,也让家里的夜晚不至于被低质内容占满。
1:34:42ENA $500 Kernel, a Ten-Month Village, and the Temper of Agents主持 Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.
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