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1:19:21ENVapnik's Case for Learning by Predicates, Not Just by More Data主持 Lex FridmanIn an MIT lecture, Vladimir Vapnik argues that complete statistical learning needs two mechanisms, data and invariants, and that choosing smart predicates is where intelligence lives.
58:57ENWhen the Model Learns to Look Around: Apollo Research on Testing o1 for Scheming主持 Nathan LabenzApollo Research founder Marius Hobbhahn explains how his team probed OpenAI's o1 for deception, what it found, and why the trajectory worries him more than the model itself.
1:36:17EN → 简体中文每件事都故意少配人:Rippling 从 COO 到 CPO 的高强度管理课主持 Lenny RachitskyRippling 产品负责人、前长期 COO Matt MacInnis 解释为什么出色结果必须配上出色投入,以及他用来招人、设流程、保住强度的一套框架。
1:03:25ENTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math主持 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
31:46ENWhy Rivian Threw Out Its First Self-Driving Stack and Built Its Own Brain主持 Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.
10:24ENConcepts: How C++ Finally Got Compile-Time Constraints on Templates嘉宾 Bjarne Stroustrup · 主持 Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.
53:47ENLex Fridman Meets the Narrator: A Playthrough of The Stanley Parable as Existential Crisis主持 Lex FridmanLex Fridman plays The Stanley Parable and riffs on free will, the simulation, reincarnation, mind control and mortality as the narrator rewrites his choices.
1:51:30EN → 简体中文永远不要独自求职:六到八人的委员会,如何把焦虑变成希望嘉宾 Phyl Terry · 主持 Lenny RachitskyPhyl Terry 讲求职委员会、候选人市场契合,以及如何用产品方法找到真正想做的工作。
11:11ENFilling the Empty Quadrants: Jim Gates on Supersymmetry and the Beauty of Broken Symmetry嘉宾 Jim Gates · 主持 Lex FridmanTheoretical physicist Jim Gates explains supersymmetry with a four-slice pie, recalls how he chose it for his thesis in the 1970s, and connects it to the way physics moves from mathematics to experiment.
1:08:06ENDeep Learning in One Lecture: From Perceptrons to AutoML and the Limits of Learning嘉宾 Deep Learning Basics · 主持 Lex FridmanLex Fridman's opening lecture for MIT's 6.S094 course surveys why deep learning took off, how neural networks learn, and where the technique still falls short.
1:08:36EN → 简体中文好产品经理首先是讲故事的人:Figma 产品负责人如何持续做出好产品嘉宾 Yuhki Yamashita · 主持 Lenny RachitskyYuhki Yamashita 谈产品叙事、管住「为什么」、贴近用户、重写目标设定,以及 Figma 真正靠社区而不是销售在长。
1:11:43EN → 简体中文两条引擎、一种价格:Madhavan Ramanujam 谈 AI 产品从第一天就要会赚钱主持 Lenny Rachitsky定价专家 Madhavan Ramanujam 拆解新书《Scaling Innovation》里的谈判技巧、POC 设计,以及一张帮你选择 AI 定价模型的 2x2。
57:25ENFrom RAG to Reasoning: Why the Future of AI Is a System, Not a Model主持 Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.
1:03:21ENBring the Insight: How a Young Product Leader Earns Trust at Asana嘉宾 Paige Costello · 主持 Lenny RachitskyAsana's Paige Costello on planning, the Double Diamond process, coaching PMs, and what holds new product managers back.
1:18:28EN → 简体中文「好奇心循环」:Ada Chen Rekhi 把散乱建议变成更好决定的方法嘉宾 Ada Chen Rekhi · 主持 Lenny Rachitsky执行教练、Notejoy 联合创始人讲结构化征求意见、价值观练习、先探索再深耕,以及和配偶一起创业。
50:23ENOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives主持 Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.
1:21:17EN → 简体中文产品市场契合只是产品:Stripe 前 COO 讲怎样把组织建起来嘉宾 Claire Hughes Johnson · 主持 Lenny RachitskyClaire Hughes Johnson 用《Scaling People》说明:运营结构、自我认知和把难话说出口,跟找到产品市场契合同样决定公司能不能长大。
13:58ENDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGo主持 Lex FridmanDavid Silver of DeepMind walks through what reinforcement learning is, how its building blocks fit together, and why deep neural networks keep surprising even the experts.
1:21:57EN → 简体中文Uber 产品负责人自己开车送餐:亲测、快发,以及数据说不时仍要出手主持 Lenny RachitskyUber 首席产品官 Sachin Kansal 讲极端亲测、压缩交付周期、人车混跑的自动驾驶,以及几次跟数据对着干的下注。
1:11:26EN → 简体中文像管产品一样管职业:Deb Liu 谈学习、韧性和大赌注嘉宾 Deb Liu · 主持 Lenny Rachitsky前 Facebook 产品副总裁、现 Ancestry CEO 讲如何持续学习、从失败里站起来、在大公司做出新业务,以及怎样有意识地规划职业。
1:21:08EN → 简体中文游戏的反面不是工作,是恐惧:Jira 产品负责人如何打造敢想敢做的团队嘉宾 Megan Cook · 主持 Lenny RachitskyAtlassian Jira 产品负责人 Megan Cook 谈心理安全、远程协作、争取支持,以及一家一万两千人的公司如何持续推出新产品。
57:55ENFrom Q-Tables to AlphaGo Zero: A Self-Driving Car Lecture on Deep Reinforcement Learning主持 Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the AI pipeline and Q-learning to deep Q-networks, AlphaGo Zero and the DeepTraffic competition.
37:23EN → 简体中文手工搭循环只是过渡:ChatGPT 负责人谈全天候智能体 Dots主持 Lenny RachitskyOpenAI 的 ChatGPT 与 Codex 负责人 Tibo Sottiaux,在 DevDay 发布二十多款产品数小时后,解释他心中那个全天候个人智能体,以及开放插件生态为什么才是被低估的赌注。
1:35:27EN → 简体中文圣牛就是现成的路线图:Kayvon Beykpour 如何重振 Twitter 的产品文化嘉宾 Kayvon Beykpour · 主持 Lenny RachitskyTwitter 前产品负责人讲见 Elon Musk、在陪产假里被辞退、在厌恶风险的组织里硬推发布,以及 Periscope 留下的教训。
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