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13:58ENDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGo진행자 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.
37:23ENFrom Chat to Always-On Agents: OpenAI's Tibo Sottiaux on Dots, Open Ecosystems and What Comes Next진행자 Lenny RachitskyThe head of ChatGPT and Codex, speaking hours after a DevDay launch of more than 20 products, explains the vision for a personal agent that works around the clock.
1:26:42ENInside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code Away게스트 Dhanji R. Prasanna · 진행자 Lenny RachitskyBlock CTO Dhanji Prasanna explains how a reorg, an open-source agent and a learning-first culture made the company unusually AI-forward.
57:11ENFrom Artifact to Organism: Microsoft's Asha Sharma on Products That Learn and an Agentic Society게스트 Asha Sharma · 진행자 Lenny RachitskyMicrosoft's AI platform product chief explains why products are becoming living systems tuned by post-training, why interfaces are shifting toward code and composability, and how agents may reshape the org chart.
44:53ENLegora's CEO on Building Legal AI That Survives the Next Model Release진행자 Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.
33:31ENOpen Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions진행자 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.
45:00ENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure진행자 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.
54:52ENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier진행자 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.
29:09ENPlan in 90-Day Windows: How OpenAI's Product Leaders Ship Fast Without Losing the Plot진행자 Lenny RachitskyOpenAI's Tara Seshan and Nan Yu tell Claire Vo how they ship imperfect features, design agents people can follow, work with research, and think about 2027.









