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1:12:07ENSystems Thinkers Over Specialists: Netflix CPTO Elizabeth Stone on Talent, AI and Excellence as an Operating Systemホスト Lenny RachitskyNetflix's chief product and technology officer explains why blurred roles are still a storming phase, what skills she is hiring for, and how the company keeps a high bar as AI changes how work gets done.
46:51ENInvest Profits, Not People: What Mixpanel Learned from Spreading Too Thin and Refocusing on Its Coreゲスト Vijay Iyengar · ホスト Lenny RachitskyMixpanel's head of product Vijay Iyengar on cutting back to one analytics product, how his team plans and prioritizes, and why you should track events from your servers.
1:21:01ENMake It Explicit: Annie Duke on Deciding Better and Quitting Soonerゲスト Annie Duke · ホスト Lenny RachitskyFormer poker champion Annie Duke explains how independent input, shorter feedback loops, pre-mortems with kill criteria and a willingness to quit improve decisions at companies and in life.
1:31:41ENThe 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.
1:36:49ENMission, Retention and an Owl With Attitude: How Duolingo Grew From 3 Million to 200 Million Users Without Paid Adsゲスト Gina Gotthilf · ホスト Lenny RachitskyFormer Duolingo growth lead Gina Gotthilf on organic growth, brand voice, her career B-sides, and why she is betting on Latin American startups.
19:13ENJudgment Is the Craft: Robby Stein's Three-Chapter Playbook for Product Managers in the AI Eraホスト Lenny RachitskyGoogle Search's Robby Stein says a PM's core skill is decision making, and walks through how to understand people, diagnose root causes and polish the craft, with AI helping at each step.
1:38:14ENThe Conductor's Playbook: Naomi Gleit on Growth, Clarity, and Building at Metaホスト Lenny RachitskyMeta's head of product explains how she created her own luck, built the early growth playbook, and runs complex product teams with extreme clarity.
54:33ENVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving Raceゲスト Self-Driving Cars · ホスト Lex FridmanThe opening lecture of MIT's 6.S094 course surveys 2018's milestones, the industry's optimistic predictions, and the beliefs about driving and humans that will decide who wins.
1:14:40ENTwin Turbines: How Product and Operations Built Uber and Opendoorゲスト Brian Tolkin · ホスト Lenny RachitskyOpendoor's head of product and design, Brian Tolkin, on what an ops-first career teaches about building products, running reviews and staying calm.
11:51ENBuilding a Brain: Paola Arlotta on the Choreography of Human Brain Developmentホスト Lex FridmanA Harvard stem cell biologist walks through how the embryo builds the cerebral cortex, why order and environment matter, and why development continues into our twenties.
48:58ENNotebookLM's Accidental Podcast Hit: A 20% Project, a Tiny Team, and a Remixable AI Editorホスト Lenny RachitskyRaiza Martin explains how NotebookLM's Audio Overviews became a viral demo, how Google Labs let a tiny team ship like a startup, and where the product goes next.
28:48ENWhy Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Betsホスト Lenny RachitskyAt the Lenny and Friends Summit, Anthropic's Ami Vora and Mike Krieger tell Dan Shipper how the product role is changing when technology shifts every couple of months.
1:28:53ENMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You Thinkゲスト MIT Sloan · ホスト Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.
1:34:36ENFounder Is an Attitude, CEO Is a Craft: Jonathan Lowenhar on Failure Modes, Magic Box Exits and Hiringゲスト Jonathan Lowenhar · ホスト Lenny RachitskyEnjoy The Work's Jonathan Lowenhar lays out the skills founders must learn to become CEOs, from avoiding common failure modes to selling a company, hiring, go-to-market and trusting intuition.
1:24:58ENFewer PMs, More Reps: Whatnot's CPO on Why Senior Product People Should Go Back to Doing the Workホスト Lenny RachitskyTom Verrilli explains why Whatnot built its product team on the premise that it regrets product management exists, and what that means for hiring, AI tooling and the shape of the role.
11:11ENYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not Generalゲスト Yann Lecun · ホスト Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.
1:24:43ENFrom Sparse Coding to GANs: A Tour of Unsupervised Deep Learning in 2016ホスト Lex FridmanRuslan Salakhutdinov walks through autoencoders, Boltzmann machines, variational autoencoders and adversarial networks at the Deep Learning School, with candid notes on what did and did not work.
1:17:38ENBrains Are Body Regulators: Lisa Feldman Barrett on Why Emotions Are Constructed, Not Detectedゲスト Lisa Feldman Barrett · ホスト Lex FridmanIn a guest talk for MIT's AGI course, neuroscientist Lisa Feldman Barrett explains why faces don't display emotions, why brains exist to run bodies, and what that means for building human-like AI.
1:22:36ENStop 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.
2:35:00ENSilence, Sharpies and Support Tickets: Jeff Weinstein's Product Playbook from Stripeゲスト Jeff Weinstein · ホスト Lenny RachitskyThe former Stripe payments and Atlas product lead explains how he finds burning customer problems, picks metrics that matter, keeps quality high, and gets new products shipped inside a big company.
36:38ENProducts Get Replaced, Platforms Stick: MongoDB's CEO on the SaaS Bear Thesisホスト Sarah Guo, Elad GilCJ Desai tells Sarah Guo why he thinks fears about AI erasing the value of enterprise software are overblown, and what he says really protects a software company.
48:02ENDon't Do AI for AI's Sake: Marily Nika's Starter Guide to AI Product Managementゲスト Marily Nika · ホスト Lenny RachitskyMeta product lead Marily Nika explains what a model is, when AI is worth building, how PMs can learn, and what working with research scientists is really like.
1:28:58ENBret Taylor on Failing Forward: From Google Local to Google Maps to Sierra's Agentsゲスト Bret Taylor · ホスト Lenny RachitskyThe co-creator of Google Maps and FriendFeed's like button on career mindset, the future of coding, where AI startups should build, and why agents will bring outcome-based pricing.
1:19:25ENInside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMsホスト Lenny RachitskySebastian Barrios, formerly head of product and engineering at Mercado Libre and now SVP of Engineering at Roblox, explains how a Latin American giant runs engineering and product as one team.
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