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1:31:41EN
Lenny's PodcastPodcast · 2 StimmenThe Worst Model You'll Ever Use: Kevin Weil on Building Products at OpenAI's PaceGast: Kevin Weil · Moderation: Lenny RachitskyOpenAI's chief product officer explains how evals, light planning, fine-tuned model ensembles and a small PM team shape the way the company ships.
1:22:36ENLenny's PodcastPodcast · 2 StimmenStop Chasing AI News: Chip Huyen on What Actually Makes AI Products BetterGast: Chip Huyen · Moderation: Lenny RachitskyAuthor of AI Engineering walks through pre-training, post-training, RL, evals and RAG, then explains what separates companies that get value from AI from those that stall.
1:07:08ENLenny's PodcastPodcast · 2 StimmenIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseGast: Brendan Foody · Moderation: 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.
51:30EN
Unsupervised Learning: With Jacob EffronPodcastLess Email, Better Thinking: Grammarly’s CEO on AI That Augments CommunicationModeration: 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.
14:41EN
Lex FridmanPodcast · 2 StimmenTalking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIGast: Rohit Prasad · Moderation: 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.
1:16:17ENLenny's PodcastPodcast · 2 StimmenFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraGast: Nicole Forsgren · Moderation: 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.
1:36:57ENUnsupervised Learning: With Jacob EffronPodcastDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantModeration: 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.
1:24:01ENLenny's PodcastPodcastFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models SmarterModeration: 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.
57:21EN
Cognitive Revolution "How AI Changes Everything"PodcastGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build NextModeration: Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
1:25:34ENLenny's PodcastPodcastShipping in Days: How Claude Code's Head of Product Runs a Team at AI SpeedModeration: 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.
58:57ENCognitive Revolution "How AI Changes Everything"PodcastWhen the Model Learns to Look Around: Apollo Research on Testing o1 for SchemingModeration: 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.
1:46:33ENLenny's PodcastPodcast · 3 StimmenFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsGast: Hamel Husain, Shreya Shankar · Moderation: Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.