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1:22:50ENRadical Self-Inquiry: Jerry Colonna on Growing Up Without Feeling Like Crapゲスト Jerry Colonna · ホスト Lenny RachitskyExecutive coach Jerry Colonna explains why leadership and resilience come from honest inner work, not just practical skills, and how unexamined childhood patterns quietly shape our teams and companies.
1:25:49ENShip Weekly, Cut Scope, and Keep a Secret Roadmap: How Captions Builds in the AI Eraホスト Lenny RachitskyGaurav Misra explains how a modern AI startup turns constant model progress into weekly shipped products, technical debt as leverage, and talking-video tools for non-professionals.
1:55:04ENMining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Doゲスト Stephen Wolfram · ホスト Lex FridmanIn a talk for MIT's AGI course, Stephen Wolfram connects Wolfram Alpha, simple programs, computational irreducibility and the problem of telling machines what humans want.
1:09:56ENWhen Anyone Can Build Anything, Taste Becomes the Product Jobホスト Lenny RachitskyCodex desktop lead Andrew Ambrosino on how AI has inverted product development, why roles are blurring but shouldn't vanish, and where Codex and ChatGPT are headed.
1:19:21ENVapnik's Case for Learning by Predicates, Not Just by More Dataホスト 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ホスト 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.
1:36:17ENUnderstaff on Purpose, Never Be Chill: Matt MacInnis on Leading Rippling Through Entropyホスト Lenny RachitskyRippling's chief product officer and longtime COO explains why extraordinary outcomes demand extraordinary effort, and the frameworks he uses to hire, set process and keep intensity high.
1:03:25ENTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Mathホスト 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ホスト 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ゲスト Bjarne Stroustrup · ホスト 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ホスト 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.
1:51:30ENNever Search Alone: Why a Job Search Council Beats Going It Soloゲスト Phyl Terry · ホスト Lenny RachitskyPhyl Terry explains how job seekers can borrow product-management methods and a small peer group to find work they actually want, even in a down market.
11:11ENFilling the Empty Quadrants: Jim Gates on Supersymmetry and the Beauty of Broken Symmetryゲスト Jim Gates · ホスト 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ゲスト Deep Learning Basics · ホスト 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.
1:08:36ENStorytelling, Customer Proximity and Community: How Figma's CPO Thinks About Building Great Productゲスト Yuhki Yamashita · ホスト Lenny RachitskyYuhki Yamashita on product storytelling, owning the why, staying close to customers, rethinking OKRs, hiring, and community-led growth at Figma.
1:11:43ENTwo Engines, One Price: Madhavan Ramanujam on Monetizing AI Products from Day Oneホスト Lenny RachitskyPricing expert Madhavan Ramanujam walks through the ideas in his book Scaling Innovation, from negotiation tactics and proof-of-concept design to a 2x2 for choosing an AI pricing model.
57:25ENFrom RAG to Reasoning: Why the Future of AI Is a System, Not a Modelホスト 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ゲスト Paige Costello · ホスト Lenny RachitskyAsana's Paige Costello on planning, the Double Diamond process, coaching PMs, and what holds new product managers back.
1:18:28ENCuriosity Loops: Ada Chen Rekhi's Method for Better Decisions and a Career You Won't Regretゲスト Ada Chen Rekhi · ホスト Lenny RachitskyAn executive coach and Notejoy co-founder on structured advice-gathering, values exercises, explore-and-exploit careers, coaching and co-founding with a spouse.
50:23ENOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrivesホスト 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.
1:21:17ENScaling People: Claire Hughes Johnson on Building the Company Behind the Productゲスト Claire Hughes Johnson · ホスト Lenny RachitskyStripe's former COO explains why operating structure, self-awareness and plain-spoken management matter as much as product-market fit.
13:58ENDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGoホスト 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.
1:21:57ENBehind the Wheel: How Uber's Product Chief Dogfoods His Way to Better Productsホスト Lenny RachitskySachin Kansal on extreme dogfooding, shipping fast, Uber's hybrid autonomy strategy and making gut calls against the data.
1:11:26ENManage Your Career Like a Product: Deb Liu on Resilience, Introversion and Big Swingsゲスト Deb Liu · ホスト Lenny RachitskyThe former Facebook VP and current Ancestry CEO explains how to keep learning, bounce back from failure, build new businesses inside large companies, and plan a career with intention.
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