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1:24:56ENPeople Hire Products: Bob Moesta on Struggling Moments, Context and the Real Jobs to Be DoneInvitado: Bob Moesta · Presenta: Lenny RachitskyThe co-creator of Jobs to Be Done explains how to find the moment customers change behavior, how to interview them, and where the framework doesn't fit.
1:02:56ENThink Rigorously, Decide Fast: Lessons from Stripe's Culture and Retool's Innovation MachineInvitado: Eeke de Milliano · Presenta: Lenny RachitskyRetool's head of product and early Stripe PM Eeke de Milliano on first-principles thinking, protecting innovation, right-sizing process and building a balanced product team.
1:13:44ENTalent Density First: Netflix CTO Elizabeth Stone on Candor, Keepers and High StandardsInvitado: Elizabeth Stone · Presenta: Lenny RachitskyA conversation with Netflix's CTO, a trained economist, about her fast rise, how she holds a high bar, and how Netflix's culture and data organization actually work.
1:22:17ENOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM MPresenta: Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.
1:03:10ENPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next UpgradesPresenta: Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.
1:25:25ENExplore, Exploit, Retain: How Albert Cheng Grows Duolingo, Grammarly and Chess.com-Style Subscription ProductsInvitado: Albert Cheng · Presenta: Lenny RachitskyA veteran of three of the best-loved consumer subscription apps explains his explore-and-exploit framework, what retention really demands, and why he wants 1,000 experiments a year.
1:31:34ENHow Snyk Grew from a Node.js Niche to a Developer Security GiantInvitado: Ben Williams · Presenta: Lenny RachitskyBen Williams, VP of Product at Snyk, explains the community, loops, team structure and data foundations behind the company's product-led growth.
1:12:29ENLazy, Vain, Selfish Users and the Rule of Three: An Indian Product Leader's PlaybookInvitado: Anuj Rathi · Presenta: Lenny RachitskyAnuj Rathi of Jupiter Money walks through how product management took shape in India, and the frameworks he uses for onboarding, working backwards, strategy and marketplaces.
26:45ENStart Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep LearningInvitado: Andrew Ng · Presenta: Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.
1:07:36ENMake a Podcast to Build for Podcasters: Maya Prohovnik on Dogfooding, Gut Calls and Anchor's Unscalable HacksInvitado: Maya Prohovnik · Presenta: Lenny RachitskySpotify's head of podcast product and Anchor's employee number one explains how she dogfoods, balances intuition with data, and keeps a startup mindset inside a giant company.
1:01:13ENPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiPresenta: Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.
1:15:13ENShipping Real Apps Without Writing Code: A Non-Technical PM's Cursor and Claude Code WorkflowInvitado: Zevi Arnovitz · Presenta: Lenny RachitskyZevi Arnovitz, a product manager with no technical background, walks Lenny Rachitsky through the slash-command workflow he uses to build and ship products with AI.
29:03ENNotion's Simon Last on Rewriting the AI Harness Every Six Months and Managing a Swarm of AgentsPresenta: Sarah Guo, Elad GilThe Notion co-founder traces the product's path from a writing assistant to custom background agents, and describes how coding agents changed the way he builds.
12:04ENZuckerberg and Fridman Roll: Why Two Busy Leaders Are Training Jiu-JitsuPresenta: Lex FridmanLex Fridman shares footage of a training session with Mark Zuckerberg and explains why martial arts matter for people who run big companies.
1:31:29ENIs Driving More Like Chess or Conversation? Lex Fridman's Opening Lecture on Deep Learning for Self-Driving CarsPresenta: Lex FridmanThe first lecture of MIT 6.S094 introduces neural networks, reinforcement learning and computer vision through the question of how hard driving really is.
1:45:19ENStop Having All the Answers: An Executive Coach's Playbook for Tough Talks, Co-Founders and EnergyPresenta: Lenny RachitskyFormer Stripe and Pinterest HR leader Rachel Lockett teaches Lenny Rachitsky the practical coaching, conflict and career-design skills she uses with tech CEOs, including two live demonstrations.
1:12:00ENWhy Deep Learning Works at All: Yoshua Bengio on Composition, Saddle Points and the Case for Unsupervised LearningPresenta: Lex FridmanIn a 2016 Deep Learning School talk, Yoshua Bengio explains the assumptions that let neural nets beat the curse of dimensionality and lays out the open challenges ahead.
1:02:15ENSuno’s CEO Says the Future of Music Is a Conversation, Not a PromptPresenta: Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.
1:10:21ENReteaming Is Inevitable: Heidi Helfand on Five Ways Teams Change and How to Do It WellInvitado: Heidi Helfand · Presenta: Lenny RachitskyThe author of Dynamic Reteaming explains why stable teams are a myth, how to run reorgs transparently, and when an isolated team is the right tool.
1:09:51ENFrom Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four MonthsInvitado: Garrett Lord · Presenta: Lenny RachitskyHandshake CEO Garrett Lord explains what expert data labeling actually involves and how a decade-old student network became a supplier to seven frontier AI labs.
35:43ENTwo Four-Hour Sprints and a Mantra: Inside Lex Fridman's Daily RoutinePresenta: Lex FridmanAn hour-by-hour walkthrough of how Lex Fridman structures a day around deep work, strict limits on distractions, exercise, a one-meal keto diet and reading.
26:51ENA Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really IsPresenta: Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.
1:25:08ENRahul Vohra on Superhuman: Product-Market Fit Engines, Game Design and a CEO's TimeInvitado: Rahul Vohra · Presenta: Lenny RachitskyThe Superhuman founder explains how he measures and optimizes product-market fit, why he treats products like games, and how he redesigned his own job to speed up the company.
45:12ENInside a Robot Data Factory: How Mecka Sensorizes Humans to Train RobotsMecka AI founder Josh Gao explains how a company collects, quality-checks and licenses egocentric human data, and why robotics will arrive as a steady unlock of tasks rather than a single breakthrough.
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