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1:56:17EN
Lex Fridman· Apr 19, 2021Podcast · 2 speakersIf You Reran Earth a Million Times, Would Anything Like Us Appear?Guest Risto Miikkulainen · Host Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Models & trainingML fundamentalsAI research+3
2:01:07EN
Lex Fridman· Dec 12, 2020Podcast · 2 speakersMichael Littman isn’t waiting for a runaway god. He’s watching us.Guest Michael Littman · Host Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.Models & trainingReinforcement LearningAGI+3
2:10:06EN
Lex Fridman· Aug 14, 2020Podcast · 2 speakersYou Might Have to Understand the World to Understand the Letter AGuest Dileep George · Host Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.Models & trainingNeuroscience & AIWorld models+3
1:41:37EN
Lex Fridman· Jul 21, 2020Podcast · 2 speakersThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedGuest Jitendra Malik · Host Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.Models & trainingVision & videoAutonomous Driving+3
1:37:31EN
Lex Fridman· Jul 14, 2020Podcast · 2 speakersThe Robot That Brought the Beer Was Being TeleoperatedGuest Sergey Levine · Host Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.Models & trainingRoboticsReinforcement Learning+3
2:00:32EN
Lex Fridman· Jul 3, 2020Podcast · 2 speakersSlow Synapses Grow Fast Learners — Warmth Is the Harder ProblemGuest Matt Botvinick · Host Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.Models & trainingNeuroscience & AIReinforcement Learning+3
3:00:18EN
Lex Fridman· Jun 13, 2020Podcast · 2 speakersOnly a Simulation Can Be ConsciousGuest Joscha Bach · Host Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.Models & trainingConsciousness & IntelligencePhilosophy of Mind+3
1:37:28EN
Lex Fridman· May 8, 2020Podcast · 2 speakersWe Are Still Massively Underestimating Deep LearningGuest Ilya Sutskever · Host Lex FridmanIlya Sutskever tells Lex Fridman why 2012 was about conviction, why bigger models can get worse before they get better, and what he would do with an AGI.Models & trainingDeep LearningML fundamentals+3
1:48:01EN
Lex Fridman· Apr 3, 2020Podcast · 2 speakersDavid Silver: AlphaGo Won by Taking Human Knowledge OutGuest David Silver · Host Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.Models & trainingReinforcement LearningDeep Learning+3
1:12:48EN
Lex Fridman· Feb 29, 2020Podcast · 2 speakersJohn Hopfield's Physics of Mind: Glitches Become FeaturesGuest John Hopfield · Host Lex FridmanThe Princeton physicist walks Lex Fridman from a wobbly London bridge to Hopfield networks, consciousness-as-story, and why his famous model still does not explain learning.Models & trainingNeuroscience & AIML fundamentals+3
1:44:55EN
Lex Fridman· Feb 14, 2020Podcast · 2 speakersIf You Need 60,000 Digits, You Have Not Found IntelligenceGuest Vladimir Vapnik · Host Lex FridmanVladimir Vapnik tells Lex Fridman that intelligence is the art of shrinking a sea of functions with a few good predicates — and that MNIST, solved with sixty examples per class, is the test.Models & trainingML fundamentalsAI research+3
49:53EN
Lex Fridman· Nov 25, 2019Podcast · 2 speakersGilbert Strang still teaches with thick chalk and four subspacesGuest Gilbert Strang · Host Lex FridmanThe MIT linear-algebra legend talks with Lex Fridman about OpenCourseWare, singular values, neural nets as a million folds, and why calculus hogged the undergraduate timetable.Models & trainingML fundamentalsDeep Learning+3
55:24EN
Lex Fridman· Oct 27, 2019Podcast · 2 speakersThe Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and PutinGuest Garry Kasparov · Host Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.Models & trainingHuman-AI CollaborationAI History+3
1:25:01EN
Lex Fridman· Oct 3, 2019Podcast · 2 speakersGary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.Guest Gary Marcus · Host 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.Models & trainingDeep Learning CritiqueAGI Timelines+3
1:03:13EN
Lex Fridman· Sep 30, 2019Podcast · 2 speakersYou Can't Have Both Kinds of Fairness, Says Peter NorvigGuest Peter Norvig · Host Lex FridmanThe co-author of Artificial Intelligence: A Modern Approach walks Lex Fridman through recidivism scores, utility functions, Lisp, MOOCs, and why human-level intelligence should not be the goal.Models & trainingML fundamentalsSafety & governance+3
1:59:49EN
Lex Fridman· Sep 14, 2019Podcast · 2 speakersIntelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeGuest François Chollet · Host Lex FridmanThe Keras creator tells Lex Fridman that intelligence lives in a brain, a body, and a problem, that science already is a recursively self-improving superhuman system with linear output, and that the real near-term danger is the newsfeed.Models & trainingDeep LearningAI research+3
1:15:58EN
Lex Fridman· Aug 31, 2019Podcast · 2 speakersHuman Intelligence Is a Ridiculously Narrow SliverGuest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why giant nets plus gradient descent broke the textbooks, why "AGI" is the wrong word, and why the next leap is a world model learned like a baby.Models & trainingML fundamentalsAI research+3
1:44:11EN
Lex Fridman· Aug 27, 2019Podcast · 2 speakersA Single GPU Is Enough: Jeremy Howard on Teaching Deep LearningGuest Jeremy Howard · Host Lex FridmanThe fast.ai founder tells Lex Fridman why domain experts, not more papers or more TPUs, will decide whether deep learning actually helps people.Models & trainingDeep LearningML fundamentals+3
2:09:42EN
Lex Fridman· Jul 1, 2019Podcast · 2 speakersThe Brain Does Not Classify Images. It Navigates Maps.Guest Jeff Hawkins · Host Lex FridmanJeff Hawkins tells Lex Fridman why the neocortex stores the world as thousands of voting reference frames, and why scaling today's networks will not get us there.Models & trainingNeuroscience & AIML fundamentals+3
1:08:37EN
Lex Fridman· Apr 18, 2019Podcast · 2 speakersA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkGuest Ian Goodfellow · Host Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.Models & trainingGenerative mediaML fundamentals+3
1:20:21EN
Lex Fridman· Jan 19, 2019Podcast · 2 speakersEinstein Was the Worst of Five Ph.D. StudentsGuest Tomaso Poggio · Host Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.Models & trainingML fundamentalsAI research+3
46:25EN
Lex Fridman· Jan 17, 2019PodcastDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke ThroughHost Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.Models & trainingDeep LearningAI research+3
1:19:59EN
Lex Fridman· Dec 23, 2018Podcast · 2 speakersSchmidhuber’s bet: true meta-learning rewrites the learner, not the last layerGuest Juergen Schmidhuber · Host 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.Models & trainingML fundamentalsAGI Timelines+3
42:45EN
Lex Fridman· Dec 16, 2018Podcast · 2 speakersA one-legged robot learned a backflip from "this is better"Guest Pieter Abbeel · Host Lex FridmanPieter Abbeel tells Lex Fridman why preference comparisons, self-play, ten-minute demos, and messy ensembles of simulators are the practical path through deep reinforcement learning.Models & trainingReinforcement LearningRobotics+2
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