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1:46:33EN → 简体中文从一团乱到失败地图:Hamel 和 Shreya 手把手讲 AI 评估嘉宾 Hamel Husain, Shreya Shankar · 主持 Lenny Rachitsky两位评估课讲师用一套公寓租赁助手的真实日志,带 Lenny 走完从读 traces、聚类失败模式到校验 LLM 裁判的全流程。
1:04:09EN → 简体中文口袋里的开发者:Replit 让人人都能做出能上线的软件嘉宾 Amjad Masad · 主持 Lenny RachitskyReplit 联合创始人 Amjad Masad 现场演示一句话做出全栈应用,并谈这对产品经理、设计师、工程师和创始人意味着什么。
1:16:52ENMamba After 90 Days: What 30 Papers Reveal About State Space Models, Hybrids, and Mixture of Experts主持 Nathan LabenzNathan Labenz and AI scout Jason Meaux survey the first wave of Mamba-inspired research, from mechanistic studies and synthetic-task tradeoffs to hybrid architectures and MoE variants.
35:37ENPricing the Future: Kalshi's Tarek Mansour on Winning the Right to Trade Elections主持 Sarah Guo, Elad GilThe Kalshi CEO explains how his regulated exchange beat the CFTC in court, why he sees event contracts as hedging rather than gambling, and why he thinks market prices beat polls and pundits.
1:23:36EN → 简体中文你还不是平台创始人:斯坦福教授谈摩擦、数据和实验嘉宾 Ramesh Johari · 主持 Lenny Rachitsky斯坦福教授 Ramesh Johari 解释平台真正卖的是什么、为何预测不等于决策,以及实验和评分系统该如何设计。
1:12:04EN → 简体中文聊天框之后:OpenAI 设计负责人谈自适应界面和设计师的未来主持 Lenny RachitskyOpenAI 产品设计负责人 Ian Silber 谈设计师的焦虑、岗位怎么变、怎么为一批差异极大的用户做设计,以及 ChatGPT 和 Codex 往哪走。
1:56:31EN → 简体中文先开口再思考:Ultraspeaking 创始人用游戏和两种备稿法练演讲嘉宾 Tristan de Montebello · 主持 Lenny Rachitsky联合创始人 Tristan de Montebello 说明演讲为何是元技能,并带 Lenny 现场玩三套练习游戏、演示两种备稿方法。
17:32ENOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memes主持 Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.
1:33:38EN → 简体中文先卖后讲:Wes Kao 让想法真正落地的沟通框架主持 Lenny RachitskyMaven 联合创始人、高管沟通课老师 Wes Kao 拆解「先卖后讲」、路标词、MOO、CEDAF 等可练的框架,把清楚的思考变成别人愿意买账的表达。
1:19:50EN → 简体中文现在是 AI 的 1997 年:Benedict Evans 为什么说它很大,但只和互联网一样大主持 Lenny Rachitsky独立分析师 Benedict Evans 解释为什么他认为 AI 和互联网、移动一样大、不会更大,以及这对工作、模型公司、分发和舆论反弹意味着什么。
1:24:37EN → 简体中文工具是用来解决问题的:Austin Hay 的 MarTech 实操指南嘉宾 Austin Hay · 主持 Lenny RachitskyRamp 营销技术负责人讲清 MarTech 是什么、该挂在组织哪里、数据栈怎么搭,以及怎么招到对的人。
1:29:39EN → 简体中文五个客户、三个原型、一天:怎样找到你的靶心客户主持 Lenny RachitskyGV 的 Michael Margolis 讲如何把最初最可能采用产品的那群人收窄,并用一天的研究冲刺把它验证出来。
33:31ENOpen Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions主持 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.
1:19:39ENEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months主持 Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.
45:00ENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure主持 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.
1:31:56EN → 简体中文完美很诡异:儿童心理学家怎么带难搞的成年人主持 Lenny RachitskyDr. Becky Kennedy 把养出有韧性的孩子的那套原则,直接用到带团队、管同事和做决定上。
1:04:06EN → 简体中文先把增长模型建出来,再像园丁一样照看双边市场嘉宾 Dan Hockenmaier · 主持 Lenny RachitskyFaire 战略与分析负责人 Dan Hockenmaier 讲怎样建增长模型、市场该盯哪些指标,以及为什么运营双边市场必须下手轻。
54:52ENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier主持 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.
1:28:38EN → 简体中文为感受而做,不为曲线:Arc 浏览器背后的产品哲学嘉宾 Josh Miller · 主持 Lenny RachitskyThe Browser Company 的 CEO Josh Miller 讲述 Arc 如何围绕情绪、价值观、一支很小却不寻常的团队,以及把互联网当成下一代电脑来下注。
10:39ENStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between Them主持 Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.
11:29ENWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen主持 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
1:38:33EN → 简体中文先定价再做产品:Madhavan Ramanujam 给产品团队的变现课嘉宾 Madhavan Ramanujam · 主持 Lenny Rachitsky《Monetizing Innovation》作者讲解支付意愿研究、按细分做产品、计费方式、利益表述和行为定价。
1:06:22ENPerplexity's Bet: Search Becomes Answers, and Answers Become a Business主持 Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.
1:01:12ENThe Failure Dividend: What Leaders from Airbnb, Google, Pets.com, Quibi, Duolingo, and Toast Learned from Their Worst Moments主持 Lenny RachitskyA compilation of product leaders' most searing failures—and the operating lessons they extracted from them.
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