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2:06:16ZH谭捷:机器人通用智能的瓶颈在数据,通用形态仍需时间Gast: 谭捷 · Moderation: 张小珺Google DeepMind 机器人研究科学家谭捷回顾了从计算机图形学到机器人、从强化学习到 Gemini Robotics 的研究路径。他认为机器人基础模型尚未成为独立学科,数据规模与覆盖度、跨本体迁移、实时推理和安全仍是走向真实应用的关键。
32:59ENA Hundred People, a Billion in Revenue, and Zero Venture MoneyModeration: Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.
45:21ENApplied Intuition Is Worth $15 Billion, Hasn't Spent Its Capital, and Wants to Be the OS for Cars and TanksModeration: Sarah Guo, Elad GilOn No Priors, Qasar Younis and Peter Ludwig explain the Microsoft playbook for vehicles, why they waited for autonomy techniques to converge, and why Waymo's business model is the question that follows the demo.
44:16ENA perfect demo is ten years from a product you can pay forModeration: Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
39:00ENJPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.Moderation: Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.
3:11:35ENSearch was always a hack: Marc Andreessen on AI, truth, and the next internetGast: Marc Andreessen · Moderation: Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.
1:14:34ENInside the Frontier Lab: How Karina Nguyen Builds Products by Training the ModelGast: Karina Nguyen · Moderation: Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.









