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2:10:06EN
Lex Fridman· 14 ago 2020Pódcast · 2 vocesYou Might Have to Understand the World to Understand the Letter AInvitado: Dileep George · Presenta: 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.Modelos y entrenamientoNeuroscience & AIWorld models+3
1:52:40EN
Lex Fridman· 28 dic 2019Pódcast · 2 vocesWithout Analogies, There Can Be No ConceptsInvitado: Melanie Mitchell · Presenta: 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 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
1:25:01EN
Lex Fridman· 3 oct 2019Pódcast · 2 vocesGary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.Invitado: Gary Marcus · Presenta: 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.Modelos y entrenamientoDeep Learning CritiqueAGI Timelines+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
1:15:58EN
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
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
1:20:21EN
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
54:03EN
Lex Fridman· 16 nov 2018Pódcast · 2 vocesThe Hardest Part of Learning Was Left Out of the TextbooksInvitado: Vladimir Vapnik · Presenta: 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.Modelos y entrenamientoFundamentos de MLDeep Learning Critique+3