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1:55:02EN
Cognitive Revolution "How AI Changes Everything"· Jan 4, 2026PodcastAn Index Fund on AGI: How MATS Filters the Next 120 AI Safety ResearchersHost Nathan LabenzRyan Kidd, co-executive director of MATS, tells Nathan Labenz why he will not shout a timeline, why every safety technique is also a capabilities technique, and who actually gets hired.
1:32:41ENCognitive Revolution "How AI Changes Everything"· Oct 5, 2023PodcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersHost Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.
1:26:22EN
Lenny's PodcastPodcastStart Small, Earn Autonomy: What 50+ AI Product Deployments Taught Two BuildersHost Lenny RachitskyAishwarya Naresh Reganti and Kiriti Badam explain why AI products need a different build process, and how to grow agent autonomy step by step without losing customer trust.
1:16:17ENLenny's PodcastPodcast · 2 speakersFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraGuest Nicole Forsgren · Host Lenny RachitskyThe creator of DORA and SPACE explains why most productivity metrics mislead, how AI changes flow and trust, and how to build a developer experience program that proves its value.
1:34:57ENLenny's PodcastPodcast · 2 speakersFifteen People, Four Products, Zero Handwritten Code: Inside Every's AI-First CompanyGuest Dan Shipper · Host Lenny RachitskyEvery CEO Dan Shipper explains how his small team uses Claude Code, an AI operations lead and compounding engineering to do the work of a much larger company.
1:38:45ENLenny's PodcastPodcastWhen Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork TeamsHost 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.
1:27:45ENLenny's PodcastPodcastCoding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes NextHost 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.
1:07:48ENLenny's PodcastPodcastMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI EraHost Lenny RachitskyThe creator of DORA and SPACE explains why lines of code and old pipeline metrics fall short with AI, and how to start improving developer experience by listening, surveying and tying results to what leaders care about.
1:26:42ENLenny's PodcastPodcast · 2 speakersInside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code AwayGuest Dhanji R. Prasanna · Host Lenny RachitskyBlock CTO Dhanji Prasanna explains how a reorg, an open-source agent and a learning-first culture made the company unusually AI-forward.
1:30:00ENLenny's PodcastPodcast · 2 speakersInside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute DeploysGuest David Singleton · Host Lenny RachitskyStripe CTO David Singleton explains how the company hires, builds with early users, sweats the details and ships constantly without breaking a business-critical system.
1:14:34ENLenny's PodcastPodcast · 2 speakersInside the Frontier Lab: How Karina Nguyen Builds Products by Training the ModelGuest Karina Nguyen · Host Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.
1:46:33ENLenny's PodcastPodcast · 3 speakersFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsGuest Hamel Husain, Shreya Shankar · Host Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.
1:19:39ENLenny's PodcastPodcastEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsHost Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.