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2:06:16ZH → EnglishTan Jie: Data Is the Bottleneck for General-Purpose Robot Intelligence, and a General Form Will Take TimeGuest 谭捷 · Host 张小珺Tan Jie, a robotics research scientist at Google DeepMind, looks back on his path from computer graphics to robotics, from reinforcement learning to Gemini Robotics. He argues that robot foundation models have not yet become an independent discipline, and that data scale and coverage, cross-embodiment transfer, real-time reasoning, and safety remain key to real-world applications.
2:28:14ENNature Has Structure: Demis Hassabis on Learnable Reality and AGIGuest Demis Hassabis · Host Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.
35:47ENFei-Fei Li’s new bet: AI is incomplete without spatial intelligenceHost Sarah Guo, Elad GilThe ImageNet pioneer tells Sarah Guo and Elad Gil why World Labs is building 3D generative foundation models, and why language was only one piece of the puzzle.
25:13ENThe AI Table Is Being Cleared: Two or Three Coding Winners, and Forty Years Without a Biotech GiantHost Sarah Guo, Elad GilSarah Guo and Elad Gil walk through which AI markets have already consolidated, why rival startups still refuse to merge, and the biotech science sitting unused.
31:24ENSora's Leads: A Minute of HD Video Is Just the GPT-1 of Video ModelsHost Sarah Guo, Elad GilAditya Ramesh, Tim Brooks, and Bill Peebles tell No Priors why text-to-video sits on the path to AGI, why they started from scratch instead of extending an image generator, and why they still have no product date.
2:47:17ENIf You Want Human-Level AI, Abandon Generative ModelsGuest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.
40:58EN99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstHost Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.
2:45:10ENA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Guest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.
2:10:06ENYou Might Have to Understand the World to Understand the Letter AGuest Dileep George · Host Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.
56:20ENBiohub's Bet: Building Open AI World Models of Biology From Proteins Up to CellsHost Sarah Guo, Elad GilMark Zuckerberg, Priscilla Chan and Alex Rives explain why Biohub pairs a frontier AI lab with frontier wet-lab biology, and why it releases tools like ESMFold2 as open source.
43:44ENRoblox's 20-Year Bet: Building the Holodeck with Native AI ModelsHost Sarah Guo, Elad GilRoblox CEO Dave Baszucki explains how 13 billion monthly hours of 3D interaction data could power smarter NPCs, virtual doppelgängers and a cloud-native future for games.









