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1:14:34EN
Lenny's PodcastPódcast · 2 vocesInside the Frontier Lab: How Karina Nguyen Builds Products by Training the ModelInvitado: Karina Nguyen · Presenta: Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.Producto y UXPost-trainingSynthetic data+3
1:46:33EN
Lenny's PodcastPódcast · 3 vocesFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsInvitado: Hamel Husain, Shreya Shankar · Presenta: Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.Evaluaciones y observabilidadEvaluacionesLiderazgo en ingeniería de IA+3
1:42:30EN
Lenny's PodcastPódcastThe Genie Has Three Wishes: How a Non-Coder Became Lovable's Professional Vibe CoderPresenta: Lenny RachitskyLazar Jovanovic explains the planning files, parallel prototypes and debugging routine he uses to ship production software with AI, and why judgment and taste now matter more than code.Agentes de programaciónVibe CodingDeveloper productivity+3
1:27:44EN
Lenny's PodcastPódcast · 2 vocesEverybody Can Cook: Guillermo Rauch on v0, Vercel and the Collapse of SpecializationInvitado: Guillermo Rauch · Presenta: Lenny RachitskyVercel's CEO explains how v0 turns intent into shipped products, why understanding how software works still matters, and how teams can build taste through exposure.Agentes de programaciónProduct engineeringAI interface design+3