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2:12:04EN
Lex Fridman· 2025년 6월 5일팟캐스트 · 2명From a Five-Year Phone Queue to 480 Trillion Tokens a Month게스트 Sundar Pichai · 진행자 Lex FridmanSundar Pichai talks with Lex Fridman about Chennai, the AI package, Search, Chrome, Waymo, and why he stayed calm when the headlines said Google was finished.
5:15:00ENLex Fridman· 2024년 11월 11일팟캐스트 · 2명Dario Amodei Has Seen This Scaling Movie Enough Times게스트 Dario Amodei · 진행자 Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 1일팟캐스트 · 2명Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered진행자 Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
1:36:11ENLex Fridman· 2022년 9월 17일팟캐스트 · 2명2029 Passes the Turing Test. 2045 Is Still the Singularity게스트 Ray Kurzweil · 진행자 Lex FridmanRay Kurzweil tells Lex Fridman why his dates have not moved, how to invent in the present tense, and why the replica of his father answered the meaning of life with one word: love.
1:56:38ENLex Fridman· 2020년 3월 25일팟캐스트 · 2명Bostrom Will Not Pick a Fork: The Simulation Argument Is a Disjunction, Not a Bet게스트 Nick Bostrom · 진행자 Lex FridmanNick Bostrom walks Lex Fridman through the simulation argument, anthropic reasoning, and why superintelligence talk should be split into near-term and long-term conversations.
1:52:40ENLex Fridman· 2019년 12월 28일팟캐스트 · 2명Without Analogies, There Can Be No Concepts게스트 Melanie Mitchell · 진행자 Lex FridmanMelanie Mitchell talks with Lex Fridman about why analogy sits at the core of thought, why scaled-up learning still fails at common sense, and why she thinks human-level AI is more than a century away.
1:01:00ENLex Fridman· 2019년 10월 22일팟캐스트 · 2명A Hundred Billion Galaxies, and We're Still a Type 0.7 Civilization게스트 Michio Kaku · 진행자 Lex FridmanTheoretical physicist Michio Kaku talks with Lex Fridman about aliens, string theory, digital immortality, and why fusion and Mars are the next civilizational steps.
1:25:01ENLex Fridman· 2019년 10월 3일팟캐스트 · 2명Gary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.게스트 Gary Marcus · 진행자 Lex FridmanOn Lex Fridman's podcast, the NYU emeritus and Rebooting AI co-author argues that perception and reasoning need different tools — and that trustworthy AI is impossible until machines can represent harm, bottles, and intent.
1:25:07ENLex Fridman· 2019년 4월 3일팟캐스트 · 2명The Only Real Freedom Is How AGI Is Born게스트 Greg Brockman · 진행자 Lex FridmanGreg Brockman tells Lex Fridman why OpenAI’s job is to set the initial conditions of general intelligence, not to monopolize who builds it.
1:19:59ENLex Fridman· 2018년 12월 23일팟캐스트 · 2명Schmidhuber’s bet: true meta-learning rewrites the learner, not the last layer게스트 Juergen Schmidhuber · 진행자 Lex FridmanJürgen Schmidhuber tells Lex Fridman how Gödel machines, compression-as-science, Power Play, LSTMs, and world models all descend from a teenage plan to multiply one person’s curiosity into a better physicist than he could ever be.
1:22:58ENLex Fridman· 2018년 8월 26일팟캐스트 · 2명If NASA finds nothing on Mars, Max Tegmark cheers게스트 Max Tegmark · 진행자 Lex FridmanThe MIT physicist behind Life 3.0 tells Lex Fridman why we may be the only advanced life in the observable universe, and why that makes AGI alignment a cosmic responsibility rather than a science-fiction subplot.
1:07:08EN
Lenny's Podcast팟캐스트 · 2명If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Rise게스트 Brendan Foody · 진행자 Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.
11:23ENLex Fridman팟캐스트 · 2명Science Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence Explosion게스트 François Chollet · 진행자 Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.