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1:22:43ENA Colleague With Its Own Computer: How a Small Team Built Grok Bot in a MonthPresenta: Lenny RachitskyRoman Ugarte of SpaceXAI explains the decisions, hand-held onboarding and product philosophy behind Grok Bot, and what Cursor's culture taught him about staying ahead.
1:30:52ENBuilding Minds from Unified Theories: Nate Derbinsky on Cognitive Architectures, Soar, and the Case for ForgettingInvitado: MIT AGI · Presenta: Lex FridmanA guest lecture in MIT's AGI course on how cognitive architectures try to assemble human-level intelligence, and how studying human memory made the Soar architecture faster and better.
1:50:25ENFrom Email Client to AI Agent: How Shortwave Rebuilt Itself for the Tidal WavePresenta: Nathan LabenzShortwave CEO Andrew Lee explains the agent architecture, caching economics and tiny-team culture behind the company's hockey-stick growth.
1:38:45ENWhen Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork TeamsPresenta: Lenny RachitskyFiona Fung, who leads the teams behind Claude Code and Cowork, describes how an engineering org that ships roughly eight times more code manages quality, hiring, metrics and culture.
1:27:45ENCoding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes NextPresenta: Lenny RachitskyBoris Cherny, head of Claude Code at Anthropic, on the tool's origin, the principle of latent demand, and how work changes when engineers stop writing code by hand.
45:46ENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfacePresenta: Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
13:58ENDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGoPresenta: 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 NextPresenta: 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 AwayInvitado: Dhanji R. Prasanna · Presenta: 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 SocietyInvitado: Asha Sharma · Presenta: 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 ReleasePresenta: 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 QuestionsPresenta: 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 InfrastructurePresenta: 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 FrontierPresenta: 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 PlotPresenta: 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.







