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45:27ENThe Agent State: How AI Flattened the Adversary Pyramid and Why Defenders Need Their Own Frontier ModelsModeration: Sarah Guo, Elad GilCrowdStrike CEO George Kurtz explains how low-skill attackers now wield nation-state tradecraft through AI agents, and how CrowdStrike and Nvidia are training security-specific models to fight back.
1:22:50ENRadical Self-Inquiry: Jerry Colonna on Growing Up Without Feeling Like CrapGast: Jerry Colonna · Moderation: 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 EraModeration: 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 DoGast: Stephen Wolfram · Moderation: 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 JobModeration: 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 DataModeration: 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 SchemingModeration: 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 EntropyModeration: 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 MathModeration: 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 BrainModeration: 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 TemplatesGast: Bjarne Stroustrup · Moderation: 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 CrisisModeration: 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 SoloGast: Phyl Terry · Moderation: 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 SymmetryGast: Jim Gates · Moderation: 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 LearningGast: Deep Learning Basics · Moderation: 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 ProductGast: Yuhki Yamashita · Moderation: 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 OneModeration: 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 ModelModeration: 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 AsanaGast: Paige Costello · Moderation: 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 RegretGast: Ada Chen Rekhi · Moderation: 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 ArrivesModeration: 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 ProductGast: Claire Hughes Johnson · Moderation: 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 AlphaGoModeration: 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 ProductsModeration: Lenny RachitskySachin Kansal on extreme dogfooding, shipping fast, Uber's hybrid autonomy strategy and making gut calls against the data.
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