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1:19:48EN
Lex Fridman팟캐스트Bigger 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.모델과 학습머신러닝 기초Deep Learning+3
1:30:00EN
Lenny's Podcast팟캐스트 · 2명Inside 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.제품과 UXProduct engineeringCompany Building+3
26:23EN
Lex Fridman팟캐스트Time 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.Quantum MechanicsPhilosophy of SciencePhysics+1
1:11:13EN
Lenny's Podcast팟캐스트After 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.코딩 에이전트Company BuildingAI startups & small teams+3
1:02:06EN
Lex Fridman팟캐스트Learning 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.모델과 학습인프라와 배포Open-source ecosystems+3
1:18:58EN
Lenny's Podcast팟캐스트 · 2명Delta 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.제품과 UXCompany BuildingProduct Strategy+3
1:17:34EN
Lenny's Podcast팟캐스트The 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.제품과 UXAI Product ManagementProduct Management+3
52:09EN
Lenny's Podcast팟캐스트 · 2명Different, 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.제품과 UXProduct StrategyCompany Building+3
1:08:37EN
Lenny's Podcast팟캐스트 · 2명Being 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.제품과 UXProduct LeadershipProduct Strategy+3
18:32EN
Lenny's Podcast팟캐스트Build 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.제품과 UXProduct StrategyAI Product Management+3
1:14:41EN
Lenny's Podcast팟캐스트Caring 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.기업과 전략LeadershipGrowth Strategy+3
1:17:55EN
Lenny's Podcast팟캐스트The 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.LeadershipCareer GrowthCoaching+3
1:14:34EN
Lenny's Podcast팟캐스트 · 2명Inside 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.제품과 UXPost-trainingSynthetic data+3
1:09:48EN
Lenny's Podcast팟캐스트 · 2명Lovable'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.코딩 에이전트Company BuildingAI startups & small teams+3
1:18:47EN
Lenny's Podcast팟캐스트 · 2명Befriend 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".LeadershipCoachingDecision Making+3
1:06:22EN
Lenny's Podcast팟캐스트When 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.제품과 UXProduct Strategy코딩 에이전트+3
1:46:35EN
Lenny's Podcast팟캐스트Hire 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.에이전트Personal agentsAgent orchestration+3
20:36EN
Lex Fridman팟캐스트Why 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.모델과 학습머신러닝 기초AI research+3
2:18:07EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Gambling 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.AI RegulationGeopoliticsAI Strategy+3
1:19:56EN
Lenny's Podcast팟캐스트 · 2명Analytics 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.기업과 전략LeadershipHiring+3
10:34EN
Lex Fridman팟캐스트 · 2명Why 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.모델과 학습머신러닝 기초Deep Learning+2
22:15EN
Lenny's Podcast팟캐스트From 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.제품과 UXProduct StrategyProduct Leadership+3
1:13:40EN
Unsupervised Learning: With Jacob Effron팟캐스트The 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.Autonomous DrivingRoboticsMultimodal AI+3
1:19:34EN
Lenny's Podcast팟캐스트Fei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AI진행자 Lenny RachitskyThe scientist often called the godmother of AI traces how big data sparked deep learning, explains why spatial intelligence is the next frontier, and shows what World Labs' first product, Marble, can do.모델과 학습World models비전과 영상+3
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