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9 件
並び順
1:25:13EN
Lenny's PodcastポッドキャストCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammateホスト Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.コーディングエージェントCode review & verificationDeveloper productivity+3
1:33:50EN
Lenny's PodcastポッドキャストEvals Are the New PRDs: Inside Anthropic's Research Product Teamホスト Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.プロダクトと UXAI Product ManagementProduct Strategy+3
1:31:41EN
Lenny's Podcastポッドキャスト · 2 人The Worst Model You'll Ever Use: Kevin Weil on Building Products at OpenAI's Paceゲスト Kevin Weil · ホスト 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.プロダクトと UXProduct LeadershipAI Product Management+3
1:22:36EN
Lenny's Podcastポッドキャスト · 2 人Stop Chasing AI News: Chip Huyen on What Actually Makes AI Products Betterゲスト Chip Huyen · ホスト 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.プロダクトと UXファインチューニング検索拡張生成(RAG)+3
1:07:08EN
Lenny's Podcastポッドキャスト · 2 人If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Riseゲスト Brendan Foody · ホスト 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.評価とオブザーバビリティ評価(Evals)Data quality & curation+3
1:16:17EN
Lenny's Podcastポッドキャスト · 2 人Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Eraゲスト Nicole Forsgren · ホスト 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.評価とオブザーバビリティDeveloper productivity評価(Evals)+3
1:24:01EN
Lenny's PodcastポッドキャストFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models Smarterホスト 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.モデルと学習Company BuildingData quality & curation+3
1:25:34EN
Lenny's PodcastポッドキャストShipping in Days: How Claude Code's Head of Product Runs a Team at AI Speedホスト 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.コーディングエージェントProduct ManagementAI Product Management+3
1:46:33EN
Lenny's Podcastポッドキャスト · 3 人From Chaos to a Failure Map: A Hands-On Primer on AI Evalsゲスト Hamel Husain, Shreya Shankar · ホスト Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.評価とオブザーバビリティ評価(Evals)AI エンジニアリングのリーダーシップ+3