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50:23EN
Unsupervised Learning: With Jacob Effron팟캐스트OpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives진행자 Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.기업과 전략AGI TimelinesAI Strategy+3
1:21:17EN
Lenny's Podcast팟캐스트 · 2명Scaling People: Claire Hughes Johnson on Building the Company Behind the Product게스트 Claire Hughes Johnson · 진행자 Lenny RachitskyStripe's former COO explains why operating structure, self-awareness and plain-spoken management matter as much as product-market fit.기업과 전략Company BuildingLeadership+3
13:58EN
Lex Fridman팟캐스트Deep Reinforcement Learning, Explained by the Researcher Behind AlphaGo진행자 Lex FridmanDavid Silver of DeepMind walks through what reinforcement learning is, how its building blocks fit together, and why deep neural networks keep surprising even the experts.모델과 학습Reinforcement Learning머신러닝 기초+3
1:21:57EN
Lenny's Podcast팟캐스트Behind the Wheel: How Uber's Product Chief Dogfoods His Way to Better Products진행자 Lenny RachitskySachin Kansal on extreme dogfooding, shipping fast, Uber's hybrid autonomy strategy and making gut calls against the data.제품과 UXProduct ManagementProduct Leadership+3
1:11:26EN
Lenny's Podcast팟캐스트 · 2명Manage Your Career Like a Product: Deb Liu on Resilience, Introversion and Big Swings게스트 Deb Liu · 진행자 Lenny RachitskyThe former Facebook VP and current Ancestry CEO explains how to keep learning, bounce back from failure, build new businesses inside large companies, and plan a career with intention.제품과 UXCareer GrowthProduct Management+3
1:21:08EN
Lenny's Podcast팟캐스트 · 2명The Opposite of Play Is Fear: How Jira's Head of Product Builds Safe, Fast-Moving Teams게스트 Megan Cook · 진행자 Lenny RachitskyMegan Cook of Atlassian on psychological safety, remote work habits, winning buy-in, and how a 12,000-person company keeps launching new products.제품과 UXProduct StrategyLeadership+3
57:55EN
Lex Fridman팟캐스트From Q-Tables to AlphaGo Zero: A Self-Driving Car Lecture on Deep Reinforcement Learning진행자 Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the AI pipeline and Q-learning to deep Q-networks, AlphaGo Zero and the DeepTraffic competition.모델과 학습Reinforcement LearningDeep Learning+3
37:23EN
Lenny's Podcast팟캐스트From Chat to Always-On Agents: OpenAI's Tibo Sottiaux on Dots, Open Ecosystems and What Comes Next진행자 Lenny RachitskyThe head of ChatGPT and Codex, speaking hours after a DevDay launch of more than 20 products, explains the vision for a personal agent that works around the clock.에이전트에이전트 엔지니어링Personal agents+3
1:35:27EN
Lenny's Podcast팟캐스트 · 2명Sacred Cows Are Your Roadmap: Kayvon Beykpour on Reviving Twitter's Product Culture게스트 Kayvon Beykpour · 진행자 Lenny RachitskyThe former head of product at Twitter on meeting Elon Musk, being fired during paternity leave, shipping through a risk-averse culture, and the lessons of Periscope.제품과 UXProduct LeadershipProduct Strategy+3
1:00:25EN
Lex Fridman팟캐스트 · 2명Can Machines Think? A Guided Tour of Turing's Test, Its Critics and Its Successors게스트 Turing Test · 진행자 Lex FridmanLex Fridman walks through Alan Turing's 1950 paper, the objections to it, and the benchmarks that have tried to replace or extend the imitation game.AI HistoryBenchmarksPhilosophy+3
51:55EN
Unsupervised Learning: With Jacob Effron팟캐스트The Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enough진행자 Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.인프라와 배포Vector search검색 증강 생성(RAG)+3
1:11:58EN
Lenny's Podcast팟캐스트 · 2명Dare to Be Dull: A Stanford Communication Teacher's Playbook for Calmer, Sharper Speaking게스트 Matt Abrahams · 진행자 Lenny RachitskyMatt Abrahams shares practical ways to calm speaking anxiety and structure on-the-spot talk, from small talk and feedback to toasts, Q&A and apologies.제품과 UXCareer GrowthCoaching+3
17:35EN
Lex Fridman팟캐스트Hands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware Shop진행자 Lex FridmanAfter their podcast conversation, George Hotz takes Lex Fridman on an openpilot drive and then through the comma.ai offices, dashboards, assembly line and compute cluster.제품과 UXAutonomous DrivingAI startups & small teams+3
1:19:24EN
Lenny's Podcast팟캐스트Loops, Local Maxima and Ambition: Anish Acharya on How AI Rewires Companies and Consumer Products진행자 Lenny Rachitskya16z's Anish Acharya argues that companies will become stacks of AI loops guided by human intuition, and that the biggest consumer prize is a loop that makes people happier.기업과 전략AI StrategyProduct Strategy+3
1:42:28EN
Lenny's Podcast팟캐스트 · 2명Journalists Don't Care About You: A Magazine Editor's Field Guide to Getting Press게스트 Jason Feifer · 진행자 Lenny RachitskyEntrepreneur editor-in-chief Jason Feifer explains how to prepare, pick the right writer, and pitch a story that an editor will actually say yes to.기업과 전략Go-to-MarketStorytelling+3
1:03:27EN
Lenny's Podcast팟캐스트 · 2명Find the Cultural Erogenous Zone: A Comms Playbook for Making Ideas Spread게스트 Lulu Cheng Meservey · 진행자 Lenny RachitskyLulu Cheng Meservey, the former Substack comms head, explains how underdog startups can build their own audiences, take smarter risks and shape messages people want to repeat.기업과 전략Go-to-MarketCompany Building+3
1:13:22EN
Lex Fridman팟캐스트The Second 90%: What It Really Takes to Put Deep Learning on a Driverless Car진행자 Lex FridmanWaymo's Sacha Arnoud walks MIT students through Waymo's history, its perception stack, and the industrial-scale labeling, compute and testing behind it.모델과 학습Autonomous DrivingRobotics+3
19:13EN
Lex Fridman팟캐스트The Higgs Was the Missing Puzzle Piece. The Real Mystery Is Why It Exists at All진행자 Lex FridmanParticle physicist Harry Cliff explains why finding the Higgs confirmed the obvious, why its tuned value is so troubling, and why the search for a deeper theory is stuck.Science Communication
1:32:06EN
Lenny's Podcast팟캐스트How monday.com Turned a Competitor's Surprise Launch into a New Operating System진행자 Lenny RachitskyChief Product and Technology Officer Daniel Lereya explains how impossible goals, radical transparency and timeboxed deadlines took monday.com past $1 billion in ARR.제품과 UXProduct StrategyCompany Building+3
1:31:50EN
Lenny's Podcast팟캐스트Zero to $80M in Six Months: How a Solo Founder Bootstrapped Base44 to a Wix Exit진행자 Lenny RachitskyMaor Shlomo explains how he built and grew the AI app builder Base44 without outside funding, the stack and habits that let one person compete with well-funded rivals, and how the Wix acquisition came together.기업과 전략Company BuildingAI startups & small teams+3
40:25EN
Lex Fridman팟캐스트A Language That Knows the World: Stephen Wolfram on Computable Knowledge진행자 Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.Programming LanguagesSoftware engineeringAI History
1:14:35EN
Lenny's Podcast팟캐스트 · 2명The User Research Reckoning: Why Most Research Is the Wrong Kind게스트 Judd Antin · 진행자 Lenny RachitskyFormer Airbnb head of research Judd Antin explains why the UX research field is shrinking, what kind of research actually moves the business, and how PMs and researchers can fix the system together.제품과 UXProduct StrategyProduct Management+3
1:28:51EN
Lenny's Podcast팟캐스트 · 2명Seven Years in the Making: How StackBlitz Turned Bolt into a $40M ARR Overnight Success게스트 Eric Simons · 진행자 Lenny RachitskyStackBlitz CEO Eric Simons explains how a browser-based operating system, a bootstrapped team and a better Claude model turned a nearly bankrupt company into one of the fastest-growing products ever.코딩 에이전트Company BuildingAI startups & small teams+3
57:15EN
Lex Fridman팟캐스트Inside Torch and Autograd: How Deep Learning Libraries Compute Gradients진행자 Lex FridmanAlex Wiltschko of Twitter walks through Lua Torch, then explains automatic differentiation and what separates modern deep learning frameworks.모델과 학습머신러닝 기초Deep Learning+1
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