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1:07:08EN
Lenny's PodcastPódcast · 2 vocesIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseInvitado: Brendan Foody · Presenta: Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.Evaluaciones y observabilidadEvaluacionesData quality & curation+3
51:30EN
Unsupervised Learning: With Jacob EffronPódcastLess Email, Better Thinking: Grammarly’s CEO on AI That Augments CommunicationPresenta: Jacob EffronGrammarly CEO Rahul explains how the company is moving from grammar checks to end-to-end communication assistance—and why evals, user data, and measurable outcomes matter.Producto y UXProduct StrategyIA empresarial+3
14:41EN
Lex FridmanPódcast · 2 vocesTalking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIInvitado: Rohit Prasad · Presenta: Lex FridmanRohit Prasad, head scientist of Amazon Alexa, explains the Alexa Prize grand challenge, how it is judged and why true conversation still needs reasoning.Producto y UXIA de vozAI research+3
1:16:17EN
Lenny's PodcastPódcast · 2 vocesFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraInvitado: Nicole Forsgren · Presenta: 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.Evaluaciones y observabilidadDeveloper productivityEvaluaciones+3
1:36:57EN
Unsupervised Learning: With Jacob EffronPódcastDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantPresenta: Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.Agentes de programaciónEvaluacionesGeneración aumentada por recuperación+3
1:24:01EN
Lenny's PodcastPódcastFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models SmarterPresenta: Lenny RachitskyJason Droege explains what really happened with Meta's investment in Scale AI, how data labeling turned into expert work, and what Uber Eats taught him about building businesses.Modelos y entrenamientoCompany BuildingData quality & curation+3
57:21EN
Cognitive Revolution "How AI Changes Everything"PódcastGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build NextPresenta: Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.Modelos y entrenamientoBenchmarksAI cost & performance+3
1:25:34EN
Lenny's PodcastPódcastShipping in Days: How Claude Code's Head of Product Runs a Team at AI SpeedPresenta: Lenny RachitskyCat Wu, Head of Product for Claude Code and Cowork at Anthropic, explains how the PM role, hiring, tooling and culture change when features go from idea to users in a week or less.Agentes de programaciónProduct ManagementAI Product Management+3
58:57EN
Cognitive Revolution "How AI Changes Everything"PódcastWhen the Model Learns to Look Around: Apollo Research on Testing o1 for SchemingPresenta: Nathan LabenzApollo Research founder Marius Hobbhahn explains how his team probed OpenAI's o1 for deception, what it found, and why the trajectory worries him more than the model itself.SeguridadAI securitySeguridad y gobernanza+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