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2:10:06EN
Lex Fridman· 2020년 8월 14일팟캐스트 · 2명You Might Have to Understand the World to Understand the Letter A게스트 Dileep George · 진행자 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.모델과 학습Neuroscience & AIWorld models+3
1:52:40EN
Lex Fridman· 2019년 12월 28일팟캐스트 · 2명Without Analogies, There Can Be No Concepts게스트 Melanie Mitchell · 진행자 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· 2019년 11월 29일팟캐스트 · 2명You never hear structure: Noam Chomsky on language, cognition, and deep learning게스트 Noam Chomsky · 진행자 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· 2019년 10월 3일팟캐스트 · 2명Gary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.게스트 Gary Marcus · 진행자 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.모델과 학습Deep Learning CritiqueAGI Timelines+3
1:03:13EN
Lex Fridman· 2019년 9월 30일팟캐스트 · 2명You Can't Have Both Kinds of Fairness, Says Peter Norvig게스트 Peter Norvig · 진행자 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.모델과 학습머신러닝 기초안전과 거버넌스+3
1:15:58EN
Lex Fridman· 2019년 8월 31일팟캐스트 · 2명Human Intelligence Is a Ridiculously Narrow Sliver게스트 Yann Lecun · 진행자 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.모델과 학습머신러닝 기초AI research+3
2:09:42EN
Lex Fridman· 2019년 7월 1일팟캐스트 · 2명The Brain Does Not Classify Images. It Navigates Maps.게스트 Jeff Hawkins · 진행자 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.모델과 학습Neuroscience & AI머신러닝 기초+3
1:20:21EN
Lex Fridman· 2019년 1월 19일팟캐스트 · 2명Einstein Was the Worst of Five Ph.D. Students게스트 Tomaso Poggio · 진행자 Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.모델과 학습머신러닝 기초AI research+3
54:03EN
Lex Fridman· 2018년 11월 16일팟캐스트 · 2명The Hardest Part of Learning Was Left Out of the Textbooks게스트 Vladimir Vapnik · 진행자 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.모델과 학습머신러닝 기초Deep Learning Critique+3