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53:42ENThe Missing Middle: Why Product Teams Work Hard Without a Strategy진행자 Lenny RachitskyMelissa Perri explains how product organizations scale strategy, hire their first CPO, write a usable vision, and use product operations to make it last.
1:19:48ENBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep Learning진행자 Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.
1:30:00ENInside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute Deploys게스트 David Singleton · 진행자 Lenny RachitskyStripe CTO David Singleton explains how the company hires, builds with early users, sweats the details and ships constantly without breaking a business-critical system.
26:23ENTime Is Real, Space Is Emergent: Lee Smolin on Finishing Einstein's Revolution진행자 Lex FridmanTheoretical physicist Lee Smolin explains why quantum theory and general relativity remain unreconciled, and why he thinks causality is fundamental and locality is not.
1:11:13ENAfter Code: Cursor's CEO on Logic Design, Custom Models and Why One Winner Will Take the Market진행자 Lenny RachitskyMichael Truell explains how Cursor went from a mechanical-engineering pivot to a $300M ARR product, and where he thinks programming is heading.
1:02:06ENLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digits진행자 Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.
1:18:58ENDelta 4, Dharma and Second-Order Thinking: Kunal Shah's Philosophy of Building in India게스트 Kunal Shah · 진행자 Lenny RachitskyCRED founder Kunal Shah explains his product framework, why India's market behaves differently, and the habits of curiosity he credits for his success.
1:17:34ENThe Three Flavors of AI Product Management — and What Separates the Top 5%진행자 Lenny RachitskyAman Khan, director of product at Arize AI, explains how PMs can break into AI, prototype their way to influence, and thrive as a long-term individual contributor.
52:09ENDifferent, Better, and Instant: What Cash App Taught Ayo Omojola About Building Products게스트 Ayo Omojola · 진행자 Lenny RachitskyCarbon Health's chief product officer on differentiation at Cash App, building inside a big company, hiring founders, and going deep on the details.
1:08:37ENBeing Strategic Is a Simple Why Plus a Big Change: Anneka Gupta on Product Leadership게스트 Anneka Gupta · 진행자 Lenny RachitskyRubrik's chief product officer shares how she defines strategy, makes decisions, works with founders, gives feedback and keeps a positive mindset.
18:32ENBuild a Lab Inside Your Product Team: Dan Shipper on Keeping Up With a Moving AI Frontier진행자 Lenny RachitskyEvery CEO Dan Shipper explains how a tiny, disposable-experiment lab can coexist with a focused product team, and how to move winners from one into the other.
1:14:41ENCaring Deeply, Measuring Clearly: Melissa Tan on Building High-Performing Growth Teams진행자 Lenny RachitskyA growth leader's guide to hiring, developing, and organizing teams—from Dropbox's early lessons to Webflow's operating rhythms.
1:17:55ENThe Quiet Advantage: How Introverts Can Thrive Without Pretending to Be Extroverts진행자 Lenny RachitskySusan Cain explains what introversion really is and offers practical ways to build visibility, run meetings, parent quiet kids, and design a career around your temperament.
1:14:34ENInside the Frontier Lab: How Karina Nguyen Builds Products by Training the Model게스트 Karina Nguyen · 진행자 Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.
1:09:48ENLovable's Anton Osika on Building "the Last Piece of Software" With 18 People게스트 Anton Osika · 진행자 Lenny RachitskyThe Lovable CEO demos an AI software engineer live and explains how a tiny, obsessive team reached explosive growth.
1:18:47ENBefriend the Voice in Your Head: Executive Coach Joe Hudson on Emotions, Enjoyment and Experiments게스트 Joe Hudson · 진행자 Lenny RachitskyJoe Hudson, a coach to leaders at OpenAI, SpaceX and Apple, explains how to work with your inner critic, welcome your emotions and replace "should" with "want".
1:06:22ENWhen AI Writes 90% of the Code: Anthropic's CPO on New Bottlenecks, Builders and MCP진행자 Lenny RachitskyMike Krieger on how product work changes inside Anthropic, why he shut down Artifact, and where AI founders can build without being squashed.
1:46:35ENHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClaws진행자 Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.
20:36ENWhy Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexity진행자 Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.
2:18:07ENGambling on Trump for the AI Era: Nathan Labenz and Samuel Hammond Argue the Stakes진행자 Nathan LabenzA long, good-natured debate over whether Trump's high-variance, ideas-driven coalition or a stable incrementalist Democratic establishment is the better bet for governing AI, China policy and a possible intelligence explosion.
1:19:56ENAnalytics With a Seat at the Table: How DoorDash Builds a Centralized Data Team게스트 Jessica Lachs · 진행자 Lenny RachitskyDoorDash analytics chief Jessica Lachs explains why she keeps data scientists in one central org, how she hires for curiosity, and how she picks metrics that actually move a business.
10:34ENWhy Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AI게스트 François Chollet · 진행자 Lex FridmanFrançois Chollet explains why neural networks only interpolate between points they have seen, and why the best AI systems pair them with symbolic rules.
22:15ENFrom Purpose to Product: Ebi Atawodi’s Playbook for a Vision That Ships진행자 Lenny RachitskyHow YouTube Studio’s vision was built, socialized, and turned into live products—plus a practical playbook for product managers at any level.
1:13:40ENThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Moment진행자 Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.
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