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1:22:17ENOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM M진행자 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 Upgrades진행자 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 Products게스트 Albert Cheng · 진행자 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 Giant게스트 Ben Williams · 진행자 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 Playbook게스트 Anuj Rathi · 진행자 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 Learning게스트 Andrew Ng · 진행자 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 Hacks게스트 Maya Prohovnik · 진행자 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 Tsunami진행자 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 Workflow게스트 Zevi Arnovitz · 진행자 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 Agents진행자 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-Jitsu진행자 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 Cars진행자 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 Energy진행자 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 Learning진행자 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 Prompt진행자 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 Well게스트 Heidi Helfand · 진행자 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 Months게스트 Garrett Lord · 진행자 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 Routine진행자 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 Is진행자 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 Time게스트 Rahul Vohra · 진행자 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.
1:02:24ENFrom Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion Planning진행자 Lex FridmanAn MIT professor traces motion planning from the DARPA Urban Challenge to the future of transportation and the cities built around cars.
1:23:20ENBack From the Brink: How Intercom's Founder Rebuilt a Stalled SaaS Company Around the Fin AI Agent게스트 Eoghan McCabe · 진행자 Lenny RachitskyIntercom CEO Eoghan McCabe describes the strategy, pricing, culture and personal changes behind turning a plateauing SaaS business into an AI-agent company.
30:20ENDraw the Circle: Julie Zhuo’s Five-Step Playbook for Influencing Hard Product Decisions진행자 Lenny RachitskyA practical process for turning prioritization fights into shared learning, evidence gathering, and clear decision ownership.
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