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2:28:11EN
Lex Fridman· 1 nov 2020Pódcast · 2 vocesPeople Are Easy to Predict — and They Hate Being Told SoInvitado: Charles Isbell · Presenta: Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.Human-AI CollaborationFundamentos de MLAI research+3
2:34:20EN
Lex Fridman· 30 ago 2020Pódcast · 2 vocesIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared ForInvitado: François Chollet · Presenta: 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.Evaluaciones y observabilidadBenchmarksAI research+3
1:37:31EN
Lex Fridman· 14 jul 2020Pódcast · 2 vocesThe Robot That Brought the Beer Was Being TeleoperatedInvitado: Sergey Levine · Presenta: 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.Modelos y entrenamientoRoboticsReinforcement Learning+3
2:00:32EN
Lex Fridman· 3 jul 2020Pódcast · 2 vocesSlow Synapses Grow Fast Learners — Warmth Is the Harder ProblemInvitado: Matt Botvinick · Presenta: 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.Modelos y entrenamientoNeuroscience & AIReinforcement Learning+3
45:31EN
Lex Fridman· 1 jul 2020PódcastYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-AwarenessPresenta: Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AIFundamentos de ML+3
1:37:28EN
Lex Fridman· 8 may 2020Pódcast · 2 vocesWe Are Still Massively Underestimating Deep LearningInvitado: Ilya Sutskever · Presenta: 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.Modelos y entrenamientoDeep LearningFundamentos de ML+3
1:12:03EN
Lex Fridman· 5 may 2020Pódcast · 2 vocesMice Don't Get Alzheimer's: Daphne Koller on Disease in a DishInvitado: Daphne Koller · Presenta: 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· 29 feb 2020Pódcast · 2 vocesJohn Hopfield's Physics of Mind: Glitches Become FeaturesInvitado: John Hopfield · Presenta: 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.Modelos y entrenamientoNeuroscience & AIFundamentos de ML+3
1:45:49EN
Lex Fridman· 24 feb 2020Pódcast · 2 vocesPrediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolutionInvitado: Michael I. Jordan · Presenta: 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.Empresa y estrategiaFundamentos de MLRecommendation systems+3
1:44:55EN
Lex Fridman· 14 feb 2020Pódcast · 2 vocesIf You Need 60,000 Digits, You Have Not Found IntelligenceInvitado: Vladimir Vapnik · Presenta: 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.Modelos y entrenamientoFundamentos de MLAI research+3
26:02EN
Lex Fridman· 9 feb 2020PódcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesPresenta: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infraestructura y despliegueSemiconductorsScaling Laws+3
1:18:41EN
Lex Fridman· 14 ene 2020Pódcast · 2 vocesThe SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool UsInvitado: Daniel Kahneman · Presenta: 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.Fundamentos de MLDeep LearningHuman-AI Collaboration+3
1:23:01EN
Lex Fridman· 11 dic 2019Pódcast · 2 vocesYou Cannot Ask a Question You Have No Words ForInvitado: Judea Pearl · Presenta: 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.AgentesAGIAI research+3
35:46EN
Lex Fridman· 29 nov 2019Pódcast · 2 vocesYou never hear structure: Noam Chomsky on language, cognition, and deep learningInvitado: Noam Chomsky · Presenta: 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· 25 nov 2019Pódcast · 2 vocesGilbert Strang still teaches with thick chalk and four subspacesInvitado: Gilbert Strang · Presenta: 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.Modelos y entrenamientoFundamentos de MLDeep Learning+3
1:48:55EN
Lex Fridman· 19 nov 2019Pódcast · 2 vocesThree Fairness Rules That Cannot All Be TrueInvitado: Michael Kearns · Presenta: 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.SeguridadPrivacy & data governanceSeguridad y gobernanza+3
1:03:13EN
Lex Fridman· 30 sept 2019Pódcast · 2 vocesYou Can't Have Both Kinds of Fairness, Says Peter NorvigInvitado: Peter Norvig · Presenta: 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.Modelos y entrenamientoFundamentos de MLSeguridad y gobernanza+3
1:59:49EN
Lex Fridman· 14 sept 2019Pódcast · 2 vocesIntelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeInvitado: François Chollet · Presenta: 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.Modelos y entrenamientoDeep LearningAI research+3
1:15:58EN
Lex Fridman· 31 ago 2019Pódcast · 2 vocesHuman Intelligence Is a Ridiculously Narrow SliverInvitado: Yann Lecun · Presenta: 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.Modelos y entrenamientoFundamentos de MLAI research+3
1:44:11EN
Lex Fridman· 27 ago 2019Pódcast · 2 vocesA Single GPU Is Enough: Jeremy Howard on Teaching Deep LearningInvitado: Jeremy Howard · Presenta: 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.Modelos y entrenamientoDeep LearningFundamentos de ML+3
2:09:42EN
Lex Fridman· 1 jul 2019Pódcast · 2 vocesThe Brain Does Not Classify Images. It Navigates Maps.Invitado: Jeff Hawkins · Presenta: 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.Modelos y entrenamientoNeuroscience & AIFundamentos de ML+3
1:08:37EN
Lex Fridman· 18 abr 2019Pódcast · 2 vocesA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkInvitado: Ian Goodfellow · Presenta: 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.Modelos y entrenamientoGenerative mediaFundamentos de ML+3
1:01:24EN
Lex Fridman· 12 mar 2019Pódcast · 2 vocesLeslie Kaelbling: You Buy the Ticket Before You Can Plan the AirportInvitado: Leslie Kaelbling · Presenta: 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.AgentesReinforcement LearningRobotics+3
1:20:21EN
Lex Fridman· 19 ene 2019Pódcast · 2 vocesEinstein Was the Worst of Five Ph.D. StudentsInvitado: Tomaso Poggio · Presenta: Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.Modelos y entrenamientoFundamentos de MLAI research+3
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