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1:24:56EN
Lenny's Podcast팟캐스트 · 2명People Hire Products: Bob Moesta on Struggling Moments, Context and the Real Jobs to Be Done게스트 Bob Moesta · 진행자 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.제품과 UXProduct StrategyProduct Management+3
1:02:56EN
Lenny's Podcast팟캐스트 · 2명Think Rigorously, Decide Fast: Lessons from Stripe's Culture and Retool's Innovation Machine게스트 Eeke de Milliano · 진행자 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.제품과 UXCompany BuildingProduct Leadership+3
1:13:44EN
Lenny's Podcast팟캐스트 · 2명Talent Density First: Netflix CTO Elizabeth Stone on Candor, Keepers and High Standards게스트 Elizabeth Stone · 진행자 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.기업과 전략LeadershipCompany Building+3
1:22:17EN
Cognitive Revolution "How AI Changes Everything"팟캐스트One 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.모델과 학습AI in healthcareMultimodal AI+3
1:03:10EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Pause 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.모델과 학습Transformers & attention머신러닝 기초+3
1:25:25EN
Lenny's Podcast팟캐스트 · 2명Explore, 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.제품과 UXGrowth StrategyProduct-Led Growth+3
1:31:34EN
Lenny's Podcast팟캐스트 · 2명How 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.기업과 전략Product-Led GrowthGo-to-Market+3
1:12:29EN
Lenny's Podcast팟캐스트 · 2명Lazy, 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.제품과 UXProduct ManagementProduct Strategy+3
26:45EN
Lex Fridman팟캐스트 · 2명Start 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.모델과 학습Deep Learning머신러닝 기초+3
1:07:36EN
Lenny's Podcast팟캐스트 · 2명Make 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.제품과 UXProduct ManagementProduct Leadership+3
1:01:13EN
Unsupervised Learning: With Jacob Effron팟캐스트Pinecone'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.인프라와 배포Vector search검색 증강 생성(RAG)+3
1:15:13EN
Lenny's Podcast팟캐스트 · 2명Shipping 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.코딩 에이전트Vibe CodingCode review & verification+3
29:03EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Notion'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.에이전트Product StrategyCompany Building+3
12:04EN
Lex Fridman팟캐스트Zuckerberg 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.Martial ArtsCombat SportsLeadership+2
1:31:29EN
Lex Fridman팟캐스트Is 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.모델과 학습Deep LearningAutonomous Driving+3
1:45:19EN
Lenny's Podcast팟캐스트Stop 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.기업과 전략LeadershipCoaching+3
1:12:00EN
Lex Fridman팟캐스트Why 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.모델과 학습머신러닝 기초Deep Learning+2
1:02:15EN
Unsupervised Learning: With Jacob Effron팟캐스트Suno’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.멀티모달과 미디어Generative mediaMultimodal AI+3
1:10:21EN
Lenny's Podcast팟캐스트 · 2명Reteaming 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.기업과 전략LeadershipCompany Building+3
1:09:51EN
Lenny's Podcast팟캐스트 · 2명From 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.기업과 전략Data quality & curationAI startups & small teams+3
35:43EN
Lex Fridman팟캐스트Two 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.Time ManagementProductivity
26:51EN
Lex Fridman팟캐스트A 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.멀티모달과 미디어AGI(범용 인공지능)Robotics+3
1:25:08EN
Lenny's Podcast팟캐스트 · 2명Rahul 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.제품과 UXProduct-Market FitProduct Strategy+3
45:12EN
Sequoia Capital팟캐스트Inside 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.모델과 학습RoboticsData quality & curation+2
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