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2:28:11EN
Lex Fridman· Nov 1, 2020Podcast · 2 speakersPeople Are Easy to Predict — and They Hate Being Told SoGuest Charles Isbell · Host Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.Human-AI CollaborationML fundamentalsAI research+3
2:34:20EN
Lex Fridman· Aug 30, 2020Podcast · 2 speakersIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared ForGuest François Chollet · Host Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.Evals & observabilityBenchmarksAI research+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
45:31EN
Lex Fridman· Jul 1, 2020PodcastYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-AwarenessHost Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AIML fundamentals+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
1:12:03EN
Lex Fridman· May 5, 2020Podcast · 2 speakersMice Don't Get Alzheimer's: Daphne Koller on Disease in a DishGuest Daphne Koller · Host Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.AI in healthcareComputational BiologyAI for science+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
1:45:49EN
Lex Fridman· Feb 24, 2020Podcast · 2 speakersPrediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolutionGuest Michael I. Jordan · Host Lex FridmanThe Berkeley statistician tells Lex Fridman that today's systems are a proto-engineering field, and that the hard work is connecting producers and consumers — not imitating minds.Enterprise & strategyML fundamentalsRecommendation systems+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
26:02EN
Lex Fridman· Feb 9, 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesHost Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infrastructure & deploymentSemiconductorsScaling Laws+3
1:18:41EN
Lex Fridman· Jan 14, 2020Podcast · 2 speakersThe SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool UsGuest Daniel Kahneman · Host Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.ML fundamentalsDeep LearningHuman-AI Collaboration+3
1:23:01EN
Lex Fridman· Dec 11, 2019Podcast · 2 speakersYou Cannot Ask a Question You Have No Words ForGuest Judea Pearl · Host Lex FridmanA teenager spent three days in bed with a fever after learning that geometry could be done in algebra — then spent a career giving cause and effect a mathematics.AgentsAGIAI research+3
35:46EN
Lex Fridman· Nov 29, 2019Podcast · 2 speakersYou never hear structure: Noam Chomsky on language, cognition, and deep learningGuest Noam Chomsky · Host Lex FridmanLex Fridman asks the linguist whether we could talk to aliens, how far language goes in the brain, and whether neural networks tell us anything about the mind.PhilosophyDeep Learning CritiquePhilosophy of Mind+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
1:48:55EN
Lex Fridman· Nov 19, 2019Podcast · 2 speakersThree Fairness Rules That Cannot All Be TrueGuest Michael Kearns · Host Lex FridmanMichael Kearns tells Lex Fridman why algorithmic fairness is messier than privacy, and why a Pareto curve belongs in front of the people who actually have to choose.Security & safetyPrivacy & data governanceSafety & governance+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
1:01:24EN
Lex Fridman· Mar 12, 2019Podcast · 2 speakersLeslie Kaelbling: You Buy the Ticket Before You Can Plan the AirportGuest Leslie Kaelbling · Host Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.AgentsReinforcement LearningRobotics+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
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