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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.
1:26:31ENSelling in a Downturn: Bravado CEO Sahil Mansuri on Forecasts, Comp Plans, Retention and Warm Introsゲスト Sahil Mansuri · ホスト Lenny RachitskySahil Mansuri, founder of the sales community Bravado, lays out how B2B founders should change quotas, compensation, customer focus and deal-closing tactics when the market turns.
1:54:54ENSlow Down, Ask Questions, Sell the Vacation: An Executive Negotiator's Playbookホスト Lenny RachitskyJacob Warwick explains how senior operators win bigger offers by treating a job search like an enterprise sale and negotiating collaboratively rather than confrontationally.
58:46ENCaging the Neural Network: How Aptiv Thinks About Safe Self-Drivingホスト Lex FridmanAptiv Autonomous Mobility's Karl Iagnemma and Oscar Beijbom explain why end-to-end learning is hard to trust in cars, and show how PointPillars and nuScenes push lidar perception forward.
1:05:10ENYou Can't Do Homework to Become a Great PM: Fareed Mosavat on Reps, Sponsors and the Leadership Canyonゲスト Fareed Mosavat · ホスト Lenny RachitskyReforge's Fareed Mosavat explains why product management can only be learned on real products, and what trips people up when they move from IC to leader.
1:01:47ENInside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partnersホスト Jacob EffronNotion AI engineer Linus Lee explains how a dozen-person team went from a hotel-room hackathon to Writer, Autofill and workspace Q&A.
1:22:57ENHuman-Level but Not Human-Like: A GPT-4 Red Teamer on What He Saw Behind the Maskホスト Nathan LabenzNathan Labenz recounts two months of full-time testing of an early GPT-4, from the AI doctor of his dreams to a model that would plan assassinations on request.
14:49ENElon Musk Rates Memes and Ends Up Defending Nuclear Power, the British Museum and the Cheeseburgerホスト Lex FridmanIn a lighthearted excerpt from his conversation with Lex Fridman, Elon Musk scores a stack of printed memes on a one-to-eleven scale and gives serious answers whenever a joke touches a real topic.
21:50ENSharpen the Knife: Why Simplicity Wins in Product, Story, and Lifeホスト Lenny RachitskyA product leader’s case for building the one indispensable thing, using familiar patterns, and telling the story customers already know.
1:23:18ENFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the Internetホスト Nathan LabenzKeerthana Gopalakrishnan and Ted Xiao walk through RT-2, RT-X, RT-Trajectory, AutoRT, Learning to Learn Faster and PIVOT, and say what is still missing for general-purpose robots.
1:03:42ENThe Hamster Wheel and the Patron of the Arts: Inside Spotify's Push to Monetize Fandomゲスト Camille Hearst · ホスト Lenny RachitskySpotify's head of fan monetization, Camille Hearst, on why creators struggle to charge, how platforms and marketplaces really work, and what she learned from Patreon, selling her startup and a first day at Apple.
1:21:08ENSpeed Is a Symptom of Competence: How Linear Builds Beloved B2B Softwareホスト Lenny RachitskyNan Yu explains Linear’s operating principles for fast iteration, resisting bloat, discovering emotional customer pain, and making product management a go-to-market discipline.
1:10:14ENProgress Beats Pep Talks: Jason Shah on Leading Product Teams Through Web3's Ups and Downsゲスト Jason Shah · ホスト Lenny RachitskyAlchemy's Jason Shah talks with Lenny Rachitsky about Web3 product management, working backwards, leadership habits, pushing back on a CEO, career paths and hiring.
21:55ENQuantum Computing Without the Hype: Amplitudes, Interference and the Long Road to Error Correctionゲスト Scott Aaronson · ホスト Lex FridmanScott Aaronson explains what a quantum computer really is, why it is not just trying every answer at once, and why noise is the field's central obstacle.
1:15:59ENSteering Through Time: How Recurrent Networks and LSTMs Learn from Sequencesホスト Lex FridmanLex Fridman's MIT 6.S094 lecture walks from backpropagation basics to LSTMs and the way they are used to predict steering in self-driving cars.
1:09:31ENThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learningホスト Jacob EffronHow Speak's CEO is building a fluency product one model-capability step at a time, from specialized speech models to evals, pricing, and the future of education.
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