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44:53EN
Unsupervised Learning: With Jacob EffronPodcastLegora's CEO on Building Legal AI That Survives the Next Model ReleaseHost Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.
51:45ENUnsupervised Learning: With Jacob EffronPodcastCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the ModelsHost Jacob EffronHeyGen co-founder and CEO Joshua Xu explains how AI avatars are replacing the camera for business video, and how the company handles quality, trust and safety, and capital.
46:48ENUnsupervised Learning: With Jacob EffronPodcastSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstHost Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
21:31EN
Lenny's PodcastPodcastRowing or Steering: How Atlassian's PMs Became AI BuildersHost Lenny RachitskyAtlassian CPO Tamar Yehoshua explains, through three internal projects, when product managers should write code and when they should guide the team.
1:19:50ENLenny's PodcastPodcastIt's 1997 for AI: Benedict Evans on Why It's a Huge Deal, but Only as Big as the InternetHost Lenny RachitskyAnalyst Benedict Evans explains why he thinks AI is as big as the internet or mobile and no bigger, and what that means for jobs, model companies, distribution and the backlash.
45:00ENUnsupervised Learning: With Jacob EffronPodcastAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use InfrastructureHost Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.
54:52ENUnsupervised Learning: With Jacob EffronPodcastCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierHost 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.
1:01:13ENUnsupervised Learning: With Jacob EffronPodcastPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiHost Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.