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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
1:52:40EN
Lex Fridman· Dec 28, 2019Podcast · 2 speakersWithout Analogies, There Can Be No ConceptsGuest Melanie Mitchell · Host 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.Deep Learning CritiqueAGI TimelinesAI History+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
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
1:15:58EN
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
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
1:20:21EN
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
54:03EN
Lex Fridman· Nov 16, 2018Podcast · 2 speakersThe Hardest Part of Learning Was Left Out of the TextbooksGuest Vladimir Vapnik · Host Lex FridmanVladimir Vapnik tells Lex Fridman why intelligence is the work of inventing predicates that shrink the admissible set of functions, not of fitting a rule to a mountain of data.Models & trainingML fundamentalsDeep Learning Critique+3