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2:10:06EN
Lex Fridman· 14. Aug. 2020Podcast · 2 StimmenYou Might Have to Understand the World to Understand the Letter AGast: Dileep George · Moderation: 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.Modelle & TrainingNeuroscience & AIWorld models+3
1:52:40EN
Lex Fridman· 28. Dez. 2019Podcast · 2 StimmenWithout Analogies, There Can Be No ConceptsGast: Melanie Mitchell · Moderation: 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· 29. Nov. 2019Podcast · 2 StimmenYou never hear structure: Noam Chomsky on language, cognition, and deep learningGast: Noam Chomsky · Moderation: 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· 3. Okt. 2019Podcast · 2 StimmenGary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.Gast: Gary Marcus · Moderation: 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.Modelle & TrainingDeep Learning CritiqueAGI Timelines+3
1:03:13EN
Lex Fridman· 30. Sept. 2019Podcast · 2 StimmenYou Can't Have Both Kinds of Fairness, Says Peter NorvigGast: Peter Norvig · Moderation: 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.Modelle & TrainingML-GrundlagenSicherheit & Governance+3
1:15:58EN
Lex Fridman· 31. Aug. 2019Podcast · 2 StimmenHuman Intelligence Is a Ridiculously Narrow SliverGast: Yann Lecun · Moderation: 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.Modelle & TrainingML-GrundlagenAI research+3
2:09:42EN
Lex Fridman· 1. Juli 2019Podcast · 2 StimmenThe Brain Does Not Classify Images. It Navigates Maps.Gast: Jeff Hawkins · Moderation: 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.Modelle & TrainingNeuroscience & AIML-Grundlagen+3
1:20:21EN
Lex Fridman· 19. Jan. 2019Podcast · 2 StimmenEinstein Was the Worst of Five Ph.D. StudentsGast: Tomaso Poggio · Moderation: Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.Modelle & TrainingML-GrundlagenAI research+3
54:03EN
Lex Fridman· 16. Nov. 2018Podcast · 2 StimmenThe Hardest Part of Learning Was Left Out of the TextbooksGast: Vladimir Vapnik · Moderation: 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.Modelle & TrainingML-GrundlagenDeep Learning Critique+3