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Lex Fridman Podcast Letters & Research Archive

151 pieces · 2018–2026 · updated every Monday

2026

08-26#501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & LinuxIn this podcast, DHH (creator of Ruby on Rails) says that since late 2025, he has stopped writing most code himself. Instead, AI tools like Claude and Cursor now generate 80-90% of the code, while he…→03-23#494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI RevolutionNVIDIA CEO Jensen Huang says the company has evolved from a chip seller to an 'AI factory builder'—like moving from selling generators to building power plants. He argues AI computing is shifting from…→02-12#491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter SteinbergerThis is about indie dev Peter Steinberger who built OpenClaw, an AI agent that became GitHub's fastest-growing project (180k+ stars) after a 1-hour prototype. He says it won because rivals 'take thems…→02-01#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGIThis podcast covers the biggest AI shifts in 2025-2026. Two AI researchers argue that progress now comes less from bigger models and more from letting models 'think longer' during inference (the stage…→

2025

11-17#485 – David Kirtley: Nuclear Fusion, Plasma Physics, and the Future of EnergyThis podcast is about nuclear fusion energy, featuring Helion's CEO. He argues fusion is safer and more proliferation-resistant than fission, and can generate electricity directly at 80-85% efficiency…→10-01#482 – Pavel Durov: Telegram, Freedom, Censorship, Money, Power & Human NatureThis interview covers Telegram founder Pavel Durov's philosophy of running a tiny core team (~40 people) to serve 1 billion users, and why he refuses to monetize user data. He's bullish on Bitcoin, pr…→08-13#477 – Keyu Jin: China’s Economy, Tariffs, Trade, Trump, Communism & CapitalismThis podcast features economist Keyu Jin explaining how China's economy really works. She argues it's not centrally commanded but driven by local officials competing on GDP growth, calling it 'mayor e…→07-23#475 – Demis Hassabis: Future of AI, Simulating Reality, Physics and Video GamesIn this podcast, Demis Hassabis (DeepMind CEO) says AI is evolving from chatbots into 'world models' that can simulate physics. He believes natural systems (like proteins or orbits) have learnable pat…→07-12#474 – DHH: Future of Programming, AI, Ruby on Rails, Productivity & ParentingIn this podcast, Ruby on Rails creator DHH talks about programming, AI, and parenting. He argues that AI coding tools like GitHub Copilot are most useful for skipping boring, repetitive 'boilerplate c…→06-05#471 – Sundar Pichai: CEO of Google and AlphabetGoogle CEO Sundar Pichai says AI will be bigger than fire or electricity because it can improve itself. He's optimistic about AI's future, predicting stunning progress by 2030 but true superintelligen…→04-30#467 – Tim Sweeney: Fortnite, Unreal Engine, and the Future of GamingThis interview covers Epic Games CEO Tim Sweeney's vision for gaming's future. He sees games evolving into massive social platforms where players can carry their virtual items and friends across diffe…→02-03#459 – DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI MegaclustersThis podcast discusses DeepSeek's R1 model, which matches OpenAI's O3 Mini in performance but costs much less and is open-source, causing Nvidia's stock to drop 17% in one day. The guests argue this w…→01-26#458 – Marc Andreessen: Trump, Power, Tech, AI, Immigration & Future of AmericaIn this podcast, venture capitalist Marc Andreessen discusses power, AI, immigration, and America's future. He argues that elite rule is out of control but can be fixed by a 'sandwich strategy' where…→01-19#457 – Jennifer Burns: Milton Friedman, Ayn Rand, Economics, Capitalism, FreedomThis conversation explores two influential thinkers: economist Milton Friedman and novelist Ayn Rand. The author highlights Friedman's core idea: 'rules over discretion'—like having central banks foll…→

2024

11-20#453 – Javier Milei: President of Argentina – Freedom, Economics, and CorruptionThis is an interview with Argentine President Javier Milei, who explains how he used free-market reforms to rescue Argentina's economy. Milei believes that by cutting corrupt intermediaries and reduci…→11-11#452 – Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & HumanityAnthropic CEO Dario Amodei talks about AI safety and the future. He says to keep super-smart AI safe, we can't just train it to behave—we need to reverse-engineer its internal 'circuits' (mechanistic…→10-06#447 – Cursor Team: Future of Programming with AIThis podcast discusses how AI is changing programming. The Cursor team believes AI won't replace programmers but will help them code faster, like a super assistant. They think AI coding tools will get…→08-20#440 – Pieter Levels: Programming, Viral AI Startups, and Digital Nomad LifeThis piece covers how digital nomad Pieter Levels builds viral AI products with minimal tools. He believes small developers profit more from open-source AI than the companies funding it. Key holdings:…→08-02#438 – Elon Musk: Neuralink and the Future of HumanityThis podcast covers Elon Musk's Neuralink, which uses a surgical robot to implant ultra-thin flexible electrode threads into the brain, allowing paralyzed patients to control a computer with their tho…→06-19#434 – Aravind Srinivas: Perplexity CEO on Future of AI, Search & the InternetThis podcast interviews Perplexity's CEO about how the company is reinventing search by giving direct answers with citations instead of links. He thinks Google's profitable ad model makes it hard to p…→03-29#422 – Mark Cuban: Shark Tank, DEI & Wokeism Debate, Elon Musk, Politics & DrugsThis is a deep conversation between Lex Fridman and billionaire Mark Cuban. Cuban says great entrepreneurs are curious, agile, and good at selling—which he defines as 'helping others.' He admits becom…→03-18#419 – Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGIOpenAI CEO Sam Altman talks about GPT-5 being a huge leap, like GPT-3 to GPT-4. He's optimistic but says current models struggle with complex tasks. Key mentions: OpenAI (working on GPT-5), Tesla (Mus…→03-07#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AIThis is from a podcast with Meta's chief AI scientist Yann LeCun. He argues that current large language models (like ChatGPT) can't achieve human-level intelligence because they just predict the next…→02-20#413 – Bill Ackman: Investing, Financial Battles, Harvard, DEI, X & Free SpeechBillionaire investor Bill Ackman explains his shift from short-selling (betting stocks will fall) to 'constructive activism' (buying big stakes and pushing for change). He says shorting is too risky a…→02-16#412 – Marc Raibert: Boston Dynamics and the Future of RoboticsIn this podcast, Boston Dynamics founder Marc Raibert talks about the future of robotics: robots should move dynamically like animals, not slowly and safely. He's optimistic about robots moving from l…→

2023

12-29#407 – Guillaume Verdon: Beff Jezos, E/acc Movement, Physics, Computation & AGIPhysicist Guillaume Verdon (aka Beff Jezos), founder of the e/acc movement, argues the real AI risk isn't technology going rogue but big companies using 'safety' as a cover to centralize power. He say…→12-14#405 – Jeff Bezos: Amazon and Blue OriginThis is a deep dive with Jeff Bezos on his journey from physicist to inventor, Amazon's 'Day 1' culture, and Blue Origin's mission to lower space costs. Bezos is optimistic about AI, calling it a 'dis…→11-09#400 – Elon Musk: War, AI, Aliens, Politics, Physics, Video Games, and HumanityThis is a conversation between Elon Musk and Lex Fridman covering war, AI, aliens, politics, and humanity's future. Musk says AI's bottleneck will shift from chip shortage to electricity shortage with…→09-28#398 – Mark Zuckerberg: First Interview in the MetaverseIn this interview, Meta CEO Mark Zuckerberg and host Lex Fridman chat as realistic avatars in the metaverse, arguing this tech can make remote interactions feel as real as being together. Zuckerberg s…→09-10#395 – Walter Isaacson: Elon Musk, Steve Jobs, Einstein, Da Vinci & Ben FranklinThis interview is about biographer Walter Isaacson's take on geniuses like Elon Musk, Steve Jobs, and Einstein. He says their drive often comes from childhood trauma they 'harness' rather than escape—…→06-30#387 – George Hotz: Tiny Corp, Twitter, AI Safety, Self-Driving, GPT, AGI & GodHacker George Hotz argues the real AI danger isn't machines turning evil, but bad people using AI to control good people—so open-source code is the only defense. He praises Meta's Llama (calling it he…→06-22#386 – Marc Andreessen: Future of the Internet, Technology, and AIIn this podcast, internet pioneer Marc Andreessen says AI is not a job-stealer but an intelligence amplifier, like the printing press. He's optimistic, arguing AI will solve big problems and that doom…→06-18#385 – Jimmy Wales: WikipediaThis is about Wikipedia co-founder Jimmy Wales talking about how Wikipedia started, how it stays neutral, and what AI means for it. He says Wikipedia's success is not about tech but about a 'kind and…→06-08#383 – Mark Zuckerberg: Future of AI at Meta, Facebook, Instagram, and WhatsAppIn this podcast, Meta CEO Mark Zuckerberg says the future isn't one AI assistant but many specialized AIs—like a separate AI for each small business or creator. He argues that AI 'intelligence' and 'a…→06-02#381 – Chris Lattner: Future of Programming and AIThis interview is about the future of programming and AI infrastructure. Chris Lattner (creator of Swift and LLVM) argues that AI's biggest bottleneck is not models but fragmented, slow software infra…→05-28#380 – Neil Gershenfeld: Self-Replicating Robots and the Future of FabricationThis episode features MIT professor Neil Gershenfeld on self-replicating robots and digital fabrication. He argues that current computers waste energy by separating storage and processing, and that fu…→05-09#376 – Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & ComputationThis interview argues that ChatGPT's success isn't about 'understanding' the world, but about learning statistical patterns in human language. Computer scientist Stephen Wolfram says language is like…→04-28#374 – Robert Playter: Boston Dynamics CEO on Humanoid and Legged RoboticsThis interview is with Robert Playter, CEO of Boston Dynamics, about how they're selling their robots (like the dog-like Spot and the box-moving Stretch) from labs to factories and warehouses. Playter…→04-21#373 – Manolis Kellis: Evolution of Human Civilization and Superintelligent AIThis conversation centers on MIT professor Manolis Kellis's view that AI should be seen as humanity's 'child' rather than a tool, requiring mutual trust rather than one-sided alignment. Kellis is opti…→04-13#371 – Max Tegmark: The Case for Halting AI DevelopmentMIT physicist Max Tegmark argues for a six-month pause on training AI models more powerful than GPT-4. He says AI is advancing faster than expected, and companies are stuck in a 'Moloch trap'—a race t…→03-30#368 – Eliezer Yudkowsky: Dangers of AI and the End of Human CivilizationAI safety researcher Eliezer Yudkowsky warns that superintelligent AI will likely end human civilization because we only get one shot to control it—fail once and we're dead. He says GPT-4 is already s…→03-25#367 – Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AIIn this interview, OpenAI CEO Sam Altman talks about GPT-4, ChatGPT, and the future of AI. He thinks AI capabilities are growing fast, but the technology to make AI safe and aligned must grow even fas…→03-02#362 – Ginni Rometty: IBM CEO on Leadership, Power, and AdversityThis is an interview with Ginni Rometty, former CEO of IBM, about leading the company's transformation with 'Good Power.' She believes the market overhypes public cloud—enterprises actually need hybri…→01-21#353 – Dennis Whyte: Nuclear Fusion and the Future of EnergyThis podcast features MIT scientist Dennis Whyte on nuclear fusion. He says fusion is inherently safe because its plasma has lower energy density than boiling water, so any accident automatically shut…→01-11#351 – MrBeast: Future of YouTube, Twitter, TikTok, and InstagramThis is about YouTuber MrBeast sharing his formula for viral videos. He says hits are a learnable skill, not luck—titles should be under 50 characters and thumbnails clean. He's bullish on YouTube bec…→

2022

12-09#345 – Coffeezilla: SBF, FTX, Fraud, Scams, Fake Gurus, Money, Fame, and PowerThis conversation is about investigative journalist Coffeezilla exposing how FTX founder SBF ran a deliberate fraud, not a mistake. He argues SBF knowingly stole $8-10 billion in customer funds, hidin…→12-06#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic NegotiationThis podcast covers how AI evolved from playing poker to strategic negotiation games like Diplomacy. Meta AI researcher Noam Brown argues that for cooperative games, self-play alone isn't enough—AI mu…→11-26#341 – Guido van Rossum: Python and the Future of ProgrammingThis interview covers Python creator Guido van Rossum's views on the language's present and future. The big takeaway: Python 3.11's 10-60% speedup comes not from a JIT compiler but from an 'adaptive s…→11-15#338 – Chamath Palihapitiya: Money, Success, Startups, Energy, Poker & HappinessThis interview covers Chamath Palihapitiya's life and investing philosophy. He argues that the cost of energy (solar plus batteries) and computing (chips) is approaching zero, which will reshape the g…→10-29#333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGIIn this podcast, former Tesla AI director Andrej Karpathy breaks down Tesla's self-driving, Optimus robot, and AGI. He says Tesla's edge isn't fancy algorithms but its data flywheel: over a million ca…→10-20#331 – Balaji Srinivasan: How to Fix Government, Twitter, Science, and the FDAIn this interview, investor Balaji Srinivasan (ex-CTO of Coinbase) argues that big institutions like governments, Twitter, science journals, and the FDA are too broken to fix from the inside. He says…→09-21#322 – Rana el Kaliouby: Emotion AI, Social Robots, and Self-Driving CarsThis podcast is about 'Emotion AI'—machines that read facial expressions and emotions. Guest Rana el Kaliouby, a pioneer, says AI shouldn't 'read minds' but instead use context (like driving) to detec…→08-13#311 – Magatte Wade: Africa, Capitalism, Communism, and the Future of HumanityThis podcast features Senegalese entrepreneur Magatte Wade, who argues that Africa's poverty is not due to its people but its over-regulated business environment—like needing months to get electricity…→08-04#309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and RocketsLegendary programmer John Carmack discusses his work on games like Doom and Quake, VR headsets, and rockets. He's cautious on the market: Meta's $10B+ annual VR/AR bet on the 'metaverse' could be a bu…→07-29#307 – Brian Armstrong: Coinbase, Cryptocurrency, and Government RegulationIn this podcast, Coinbase CEO Brian Armstrong discusses crypto's core mission: building a fairer, freer global financial system. He sees US regulation improving, with more people now positive on crypt…→07-26#306 – Oriol Vinyals: Deep Learning and Artificial General IntelligenceThis interview is about how AI might go from doing one thing well (like playing chess or translating) to being generally smart. DeepMind's research director Vinyals thinks their Gato model is a good s…→07-17#303 – Steve Keen: Marxism, Capitalism, and EconomicsThis conversation is about economist Steve Keen's view that mainstream economics is wrong because it assumes the economy is always stable, but in reality debt and the money system cause it to crash on…→07-01#299 – Demis Hassabis: DeepMindDemis Hassabis, CEO of DeepMind, discusses how AI evolved from playing games to solving real scientific problems. He argues that intelligence and consciousness are separate—you can build super-smart A…→06-15#294 – Tony Fadell: iPhone, iPod, and NestThis podcast interviews Tony Fadell, co-creator of the iPod, iPhone, and Nest thermostat. He says great products start by finding a hidden pain people have gotten used to, fixing it, and giving users…→05-11#284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian EconomicsIn this podcast, economist Saifedean Ammous argues that today's money (like the dollar) is a hidden tax: governments print money, making your savings worth less while enriching banks and the rich. He'…→04-27#280 – Cristiano Amon: Qualcomm CEOQualcomm CEO Cristiano Amon explains the company's shift from mobile chips to powering a 'connected intelligent edge.' He sees 5G not as faster 4G but as infrastructure like electricity—everything wil…→04-14#276 – Michael Saylor: Bitcoin, Inflation, and the Future of MoneyIn this podcast, Michael Saylor (CEO of MicroStrategy) argues that Bitcoin is the ultimate 'digital property'—like digital gold but better, because it's scarce and can be sent instantly. He's extremel…→02-26#267 – Mark Zuckerberg: Meta, Facebook, Instagram, and the MetaverseIn this podcast, Meta CEO Mark Zuckerberg discusses the metaverse, content moderation, and social media's role in political polarization. He argues social media isn't the main driver of polarization,…→02-20#266 – Nicole Perlroth: Cybersecurity and the Weapons of CyberwarThis is about cybersecurity reporter Nicole Perlroth's view: zero-day vulnerabilities (undisclosed software flaws) are now bought and weaponized by governments, while defenders are far behind. She war…→02-11#263 – John Abramson: Big PharmaHarvard doctor John Abramson argues Big Pharma's real problem isn't high prices but controlling what doctors think is true medical knowledge, turning healthcare from healing into profit. He criticizes…→01-26#259 – Thomas Tull: From Batman Dark Knight Trilogy to AI and the Rolling StonesIn this interview, Legendary Entertainment founder Thomas Tull explains his investment philosophy: using long-term capital and embedding AI teams inside traditional industries like insurance and manuf…→01-22#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised LearningThis interview features AI pioneer Yann LeCun, who argues that true intelligence comes from self-supervised learning—learning by observing the world without labels, not from massive labeled data or tr…→

2021

12-28#252 – Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AIElon Musk talked about SpaceX's Mars plan, Tesla self-driving, and robots. He says the cost to send a ton to Mars must drop 1000x to build a city, and Starship's full reusability is key. Self-driving…→12-25#251 – Ray Dalio: Money, Power, and the Collapse of EmpiresRay Dalio uses 500 years of history to argue the US is now in the late stage of empire, with huge debt, rising internal conflict, and declining education — while China is improving on 16 of 18 metrics…→12-23#250 – Peter Wang: Python and the Source Code of Humans, Computers, and RealityIn this podcast, Python leader Peter Wang discusses the design of Python and the future of humanity. He says Python's success is due to its 'fits in my head' feel. He argues that open-source projects…→11-23#243 – Kevin Systrom: InstagramInstagram co-founder Kevin Systrom shares how the app pivoted from a failed check-in service to a photo-sharing giant. He believes the future of social networks is 'less social'—relying on algorithms…→11-16#241 – Boris Sofman: Waymo, Cozmo, Self-Driving Cars, and the Future of RoboticsThis interview reveals the hard truths of robot startups and self-driving cars. Boris (a Waymo executive) says picking the right market matters more than great tech—his old robot company Anki failed b…→11-08#239 – Niall Ferguson: History of Money, Power, War, and TruthHistorian Niall Ferguson says crypto is the internet's native payment system, like 14th-century bills of exchange—network-verified, no middleman. He sees Bitcoin as an 'option on digital gold' and Eth…→10-16#231 – Alex Gladstein: Bitcoin, Authoritarianism, and Human RightsThis podcast explains how Bitcoin can protect ordinary people from authoritarian governments and inflation. Alex Gladstein argues Bitcoin is a 'Trojan horse'—its rising price attracts greedy investors…→09-26#225 – Jeffrey Shainline: Neuromorphic Computing and Optoelectronic IntelligenceThis podcast is about building a new kind of computer that works like a brain, using superconductors and light. Physicist Shainline says silicon chips (like in your laptop) are hitting physical limits…→09-23#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific ProgrammingThis interview features Travis Oliphant, creator of NumPy, SciPy, and Anaconda, who explains how these tools grew from solving his own PhD problem in medical imaging to becoming the foundation of mach…→09-15#221 – Douglas Lenat: Cyc and the Quest to Solve Common Sense Reasoning in AIThis interview covers Douglas Lenat's 37-year Cyc project, which aims to give AI common sense by hand-coding millions of rules about how the world works. Lenat believes current AI like GPT-3 lacks rea…→09-06#218 – Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AIIn this interview, VR pioneer Jaron Lanier argues that the most valuable moment in virtual reality is taking off the headset and re-experiencing the real world. He criticizes social media algorithms f…→09-03#217 – Rodney Brooks: RoboticsThis conversation is about roboticist Rodney Brooks' sobering take on AI and robotics. He argues most current AI 'breakthroughs' are just scaling up computation, not solving core intelligence—like how…→08-29#215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AIThis interview features OpenAI co-founder Wojciech Zaremba discussing the future of AI. He sees deep learning as searching a vast 'program space' and GPT-3 as a sophisticated 'text completion' tool. Z…→07-31#206 – Ishan Misra: Self-Supervised Deep Learning in Computer VisionThis episode explains how computers can learn to understand images without human labels, a field called self-supervised learning. Researcher Ishan Misra argues computer vision is harder than language…→07-23#203 – Anya Fernald: Regenerative Farming and the Art of Cooking MeatThis podcast is about the farm-to-table philosophy, arguing that 99% of US meat comes from factory farms, which produces bland flavor. Regenerative farming (grazing animals to enrich soil) yields tast…→06-16#192 – Charles Hoskinson: CardanoIn this podcast, Cardano founder Charles Hoskinson argues that crypto's real purpose is providing financial services to the 3 billion unbanked, not speculation. He believes Cardano's academic, peer-re…→06-03#188 – Vitalik Buterin: Ethereum 2.0In this interview, Ethereum co-founder Vitalik Buterin discusses Ethereum 2.0's upgrade, arguing crypto's value isn't price swings but building an open, decentralized global computer. He's optimistic…→05-24#186 – Bryan Johnson: Kernel Brain-Computer InterfacesBryan Johnson says his company Kernel is building a wearable, non-invasive brain scanner (like a helmet) to measure brain activity at scale, aiming to make it as common as phones. He's optimistic abou…→05-01#181 – Sergey Nazarov: Chainlink, Smart Contracts, and Oracle NetworksThis podcast covers Chainlink co-founder Sergey Nazarov's vision for 'hybrid smart contracts' that connect blockchain to real-world data (like weather or stock prices) to reshape finance and insurance…→04-17#176 – Robert Breedlove: Philosophy of Bitcoin from First PrinciplesThis podcast explains Bitcoin from a philosophical angle. The guest argues Bitcoin fixes the problem of central banks printing money and devaluing your savings by capping its supply at 21 million coin…→04-10#174 – Tyler Cowen: Economic Growth and the Fight Against Conformity and MediocrityEconomist Tyler Cowen says the US economic stagnation is ending, becoming optimistic due to breakthroughs like mRNA vaccines and green energy. He praises Amazon and Zoom for their pandemic performance…→04-01#173 – Nic Carter: Bitcoin Core Values, Layered Scaling, and Blocksize DebatesThis podcast explains why Bitcoin is unique, how it scales, and why copycats can't match it. Guest Nic Carter says Bitcoin's key advantage is its launch conditions: anonymous founder, no pre-mined coi…→03-15#168 – Silvio Micali: Cryptocurrency, Blockchain, Algorand, Bitcoin, and EthereumThis podcast features Turing Award winner Silvio Micali, founder of Algorand. He argues blockchain's real breakthrough is creating a shared, unchangeable record, not just money. He's bullish on Algora…→02-15#161 – Jason Calacanis: Startups, Angel Investing, Capitalism, and FriendshipAngel investor Jason Calacanis says the key to judging a startup idea isn't asking 'what could go wrong' but 'if it succeeds, what would the world look like.' He's bullish on Robinhood (his early inve…→02-12#160 – Brendan Eich: JavaScript, Firefox, Mozilla, and BraveThis is an interview with Brendan Eich, creator of JavaScript. He says the internet succeeds by shipping fast and fixing later, not by being perfect—JavaScript was written in 10 days and became the st…→02-07#159 – Richard Craib: WallStreetBets, Numerai, and the Future of Stock TradingThis podcast covers the WallStreetBets vs. hedge funds saga and Numerai, an AI hedge fund. Guest Richard Craib says the retail crowd won by targeting heavily shorted stocks like GameStop, forcing shor…→01-04#151 – Dan Kokotov: Speech Recognition with AI and HumansThis episode covers Rev, a speech-to-text company that uses an 'AI first draft + human polish' model. The founder argues its real edge isn't the AI algorithm, but a data flywheel: every customer payme…→

2020

12-20#147 – Dmitri Dolgov: Waymo and the Future of Self-Driving CarsThis interview covers Waymo's tech and business progress. The key message: the real breakthrough in self-driving isn't about "trolley problems" but raising the system's overall accuracy to avoid dange…→11-25#141 – Erik Brynjolfsson: Economics of AI, Social Networks, and TechnologyIn this interview, economist Erik Brynjolfsson says AI and automation are at the bottom of a 'productivity J-curve' – huge investments haven't yet boosted output, but a turning point may come within a…→11-02#135 – Charles Isbell: Computing, Interactive AI, and Race in AmericaCharles Isbell says computing is about models, languages, and machines being equivalent, and only matters with human participation. Interactive AI must adapt to changing people. His experiment: human…→10-22#132 – George Hotz: Hacking the Simulation & Learning to Drive with Neural NetsThis interview covers George Hotz and his company Comma.ai's approach to self-driving cars. He argues that the current method used by Tesla and Waymo—breaking driving into many small tasks—is outdated…→10-19#131 – Chris Lattner: The Future of Computing and Programming LanguagesThis interview covers the future of programming languages and chip design. Guest Chris Lattner (creator of LLVM and Swift) says compiler auto-parallelization is a 'mirage' because performance is unpre…→09-24#126 – James Gosling: Java, JVM, Emacs, and the Early Days of ComputingThis podcast features Java creator James Gosling. He argues Java's real value is not syntax but eliminating manual memory management, which cuts bug-fixing time by two-thirds and makes development twi…→09-01Lex Solo #2 – The Future of NeuralinkThis is about the future of Neuralink, Elon Musk's brain-computer interface company. Lex Fridman thinks BCIs could turn 'consciousness' from a philosophy problem into a science experiment, and help hu…→08-31#120 – François Chollet: Measures of IntelligenceThis podcast asks 'what is real intelligence?' Google researcher François Chollet argues intelligence isn't about skills (like playing chess or writing), but about how efficiently you learn new skills…→08-14#115 – Dileep George: Brain-Inspired AIThis interview argues that building true AI requires extracting computational principles from the brain, not just simulating it. George says projects like Blue Brain fail because without a theory, you…→07-03#106 – Matt Botvinick: Neuroscience, Psychology, and AI at DeepMindThis interview explores how the brain and AI can learn from each other. The head of neuroscience at DeepMind argues that understanding the brain means understanding behavior, and psychology and neuros…→06-30#105 – Robert Langer: Edison of MedicineThis interview covers MIT professor Robert Langer's approach to turning scientific discoveries into profitable drugs. He says drug development is extremely long and expensive—averaging over $2 billion…→06-27#104 – David Patterson: Computer Architecture and Data StorageThis interview covers computer architect David Patterson's core ideas. He argues that RISC (reduced instruction set) chips beat CISC (complex ones like Intel's x86) because, although RISC runs more in…→06-22#103 – Ben Goertzel: Artificial General IntelligenceThis interview is about Artificial General Intelligence (AGI) — machines that can think like humans. Ben Goertzel thinks big companies like Google control AI and data like "psychopaths," so he prefers…→05-20#97 – Sertac Karaman: Robots That Fly and Robots That DriveMIT professor Sertac Karaman says small consumer drones are easier to make than self-driving cars, but scaling up delivery drones is much harder due to safety and regulation. He's positive on his own…→05-15#96 – Stephen Schwarzman: Going Big in Business, Investing, and AIThis covers Blackstone CEO Stephen Schwarzman's philosophy on 'going big.' He says spotting 'discordant notes' (things that don't belong, like white lint on a black dress) beats pattern recognition fo…→05-08#94 – Ilya Sutskever: Deep LearningThis is a deep interview with OpenAI chief scientist Ilya Sutskever. His main point: deep learning, a simple brain-inspired idea, really works and can approach human intelligence with enough data and…→05-05#93 – Daphne Koller: Biomedicine and Machine LearningIn this podcast, Stanford professor and Coursera co-founder Daphne Koller discusses using machine learning to speed up drug discovery. She argues that animal models (like mice) often fail because they…→04-24#91 – Jack Dorsey: Square, Cryptocurrency, and Artificial IntelligenceJack Dorsey (Twitter and Square CEO) talks about Square's success, Bitcoin, and AI risks. He says Square's trick isn't tech but trust: instead of checking credit scores, they trust merchants first and…→04-18#89 – Stephen Wolfram: Cellular Automata, Computation, and PhysicsThis interview covers Stephen Wolfram's bold idea that the universe might be like a computer with a very simple underlying rule, perhaps just one line of code. He argues that any sufficiently complex…→04-03#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement LearningThis is about DeepMind's David Silver explaining how reinforcement learning lets AI master Go, chess, and video games from scratch. He argues AlphaZero's self-play plus deep neural networks is the clo…→03-16#80 – Vitalik Buterin: Ethereum, Cryptocurrency, and the Future of MoneyThis interview covers Ethereum co-founder Vitalik Buterin's views on crypto and the future. He argues Satoshi's real invention wasn't Bitcoin but 'crypto-economics'—using economic resources like compu…→02-24#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AIMichael I. Jordan says the AI revolution hasn't happened yet—we're just in an early engineering phase, far from understanding the brain. He criticizes current AI for focusing on prediction without man…→02-20#73 – Andrew Ng: Deep Learning, Education, and Real-World AIThis is a deep dive with Andrew Ng (Coursera, Google Brain). His main point: AI's real challenge isn't algorithms—it's the 95% of work (data pipelines, system integration) needed to deploy models in t…→02-05Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First PrinciplesChip legend Jim Keller says Moore's Law isn't dead—transistors can shrink 100x more because it's a cascade of innovations, not one tech. He argues computer architecture should be rewritten from scratc…→01-25Cristos Goodrow: YouTube AlgorithmThis is about YouTube's algorithm chief Cristos Goodrow explaining how the recommendation system works. He says the goal isn't to keep you watching longer, but to make you feel after watching that it'…→01-21Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic IncomeNobel-winning economist Paul Krugman discusses innovation, automation, and Universal Basic Income (UBI, where the government gives everyone regular cash). He argues the fear that robots will destroy a…→01-14Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AINobel laureate Daniel Kahneman (author of Thinking, Fast and Slow) explains that current deep learning (like ChatGPT) is just a powerful 'System 1'—fast pattern matching without real reasoning or unde…→

2019

12-21Sebastian Thrun: Flying Cars, Autonomous Vehicles, and EducationThis is an interview with Sebastian Thrun, a Stanford professor and founder of Google's self-driving car project. He says self-driving tech is mostly ready, but the last 1% is extremely hard—the real…→12-14Rohit Prasad: Amazon Alexa and Conversational AIThis interview covers the origins, technical challenges, and future of Amazon Alexa. Rohit Prasad believes that having a 20-minute coherent conversation is the ultimate test for AI, but it will take 5…→12-02Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of LifeThis is about Ray Dalio's principles for investing and life. He says success comes from knowing how you might be wrong, not from being confident. He uses 'idea meritocracy' (weighting opinions by cred…→11-19Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine LearningThis podcast discusses the challenges of fairness, privacy, and ethics in algorithms. The author argues that algorithmic fairness is trickier than privacy because you can't satisfy three seemingly rea…→11-12Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue DotElon Musk discusses his companies' progress. He believes digital superintelligence poses an existential risk, so humans must merge with AI via Neuralink (a brain-computer interface). He's optimistic a…→10-11David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AIThis interview explores the difference between AI and human intelligence. David Ferrucci, who led IBM Watson, says Watson beat humans on Jeopardy but was just a question-answering system, not a conver…→10-03Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AIAI expert Gary Marcus argues that deep learning (AI that learns from data) has big limits: it finds correlations but lacks common sense, like 'a bottle holds water' or 'people drink when thirsty.' He…→09-23Regina Barzilay: Deep Learning for Cancer Diagnosis and TreatmentThis is about MIT professor Regina Barzilay using deep learning for cancer diagnosis and drug design. She says AI is already much better than the 1967 standard (breast density classification, which la…→09-19Colin Angle: iRobotThis interview features iRobot CEO Colin Angle explaining how he turned a lab robotics company into the world's most successful consumer robot brand (Roomba). He argues most robotics startups fail not…→09-14François Chollet: Keras, Deep Learning, and the Progress of AIIn this podcast, Keras creator François Chollet argues that the idea of an 'intelligence explosion' (AI rapidly self-improving to superintelligence) is flawed. He says intelligence isn't a standalone…→08-31Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised LearningIn this podcast, Turing Award winner Yann LeCun discusses deep learning, convolutional neural networks, and self-supervised learning. He argues AI value alignment isn't new—it's like how societies use…→08-27Jeremy Howard: fast.ai Deep Learning Courses and ResearchIn this podcast, fast.ai founder Jeremy Howard talks about making deep learning accessible to everyone. He believes all major AI breakthroughs in the next 20 years will happen on a single GPU, and mul…→08-19Keoki Jackson: Lockheed MartinIn this podcast, Lockheed Martin's CTO talks about their cool planes and space projects. He thinks the space industry is at its most exciting time, but military systems operate in a complex world with…→08-01Kevin Scott: Microsoft CTOThis interview with Microsoft CTO Kevin Scott argues that AI must become a democratized platform, like the steam engine, not a tool for a few companies. He believes successful platforms let others bui…→07-29Gustav Soderstrom: SpotifyThis interview explains how Spotify became the world's largest audio platform. Its chief R&D officer Gustav Soderstrom says the key was making the service feel faster than piracy—by building its own P…→07-22Chris Urmson: Self-Driving Cars at Aurora, Google, CMU, and DARPAIn this podcast, Aurora CEO Chris Urmson explains why driver-assist systems (like Tesla's Autopilot) and full self-driving will go separate ways: L2 needs a human backup, while L4 must be perfect on i…→07-15Kai-Fu Lee: AI Superpowers – China and Silicon ValleyThis is a conversation between Kai-Fu Lee and Lex Fridman about how Chinese AI startups have evolved from copying the US to creating original products that are now being copied globally, like TikTok,…→06-03Rajat Monga: TensorFlowThis interview covers Rajat Monga, head of Google's TensorFlow team, discussing the framework's evolution. He sees TensorFlow's open-source decision as a defining moment for tech, proving open innovat…→05-13Chris Lattner: Compilers, LLVM, Swift, TPU, and ML AcceleratorsThis podcast features Chris Lattner, creator of LLVM and Swift, now at Google working on AI chips. He says compilers are like translators between human code and machine language. LLVM's biggest win is…→04-29Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and SequencesThis interview covers how DeepMind scientist Oriol Vinyals used AI to play StarCraft. He says the biggest challenge isn't speed but 'exploration'—with so many possible moves, random trial-and-error fa…→04-18Ian Goodfellow: Generative Adversarial Networks (GANs)This interview features AI pioneer Ian Goodfellow, inventor of GANs. He argues deep learning isn't about learning abstract layers but like a program that refines results step by step. He's optimistic…→04-12Elon Musk: Tesla AutopilotElon Musk says current Teslas already have the hardware for full self-driving, so buying one is buying an asset that will appreciate, not depreciate, as software updates boost its value 5-10x. He's bu…→04-03Greg Brockman: OpenAI and AGIGreg Brockman, OpenAI's co-founder, talks about building safe, friendly AGI for everyone. He says digital stuff has huge leverage—a program can reach the whole world, unlike physical things. AGI could…→02-07Kyle Vogt: Cruise AutomationThis podcast features Kyle Vogt, president of Cruise Automation, who says the hardest part of self-driving cars isn't solving one big problem but endlessly polishing thousands of edge cases to beat hu…→

2018

12-23Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMsIn this podcast, LSTM co-creator Schmidhuber discusses his vision for AI. He argues that true intelligence should be able to rewrite its own learning algorithm, not just reuse old knowledge (which he…→12-16Pieter Abbeel: Deep Reinforcement LearningThis podcast discusses deep reinforcement learning (a trial-and-error AI technique) and how robots can get smarter. Pieter Abbeel thinks robot hardware (like Boston Dynamics) needs 10-15 more years to…→12-09Stuart Russell: Long-Term Future of AIIn this podcast, AI expert Stuart Russell discusses the long-term future of AI. He argues that AI shouldn't just optimize a fixed goal, or it might cause a 'King Midas problem'—like if you tell it to…→12-04Eric Schmidt: GoogleEric Schmidt, former Google CEO, talks with Lex Fridman about how tech success comes from a smart insight, a simple start, and one innovation—not a grand plan. He thinks AI's next 5-10 years should fo…→11-29Jeff Atwood: Stack Overflow and Coding HorrorThis interview is about programmer Jeff Atwood sharing his experience building Stack Overflow and Discourse. He believes programming is about 'brute force'—writing a program to run billions of times a…→10-20Yoshua Bengio: Deep LearningIn this podcast, deep learning pioneer Yoshua Bengio argues that current AI's core flaw is its inability to actively intervene in the world to learn cause and effect, unlike humans. He says adding mor…→