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267개정렬
2:10:39EN
Lex Fridman· 2022년 7월 1일팟캐스트 · 2명Demis Hassabis: Solve Intelligence, Then Solve Everything Else게스트 Demis Hassabis · 진행자 Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.
2:45:10ENLex Fridman· 2022년 1월 22일팟캐스트 · 2명A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.게스트 Yann Lecun · 진행자 Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.
2:31:57ENLex Fridman· 2021년 9월 20일팟캐스트 · 2명Jay McClelland on How Thought Emerges From Neural Networks게스트 Jay McClelland · 진행자 Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.
2:51:33ENLex Fridman· 2021년 8월 29일팟캐스트 · 2명The Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's Silence게스트 Wojciech Zaremba · 진행자 Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.
2:18:29ENLex Fridman· 2021년 8월 8일팟캐스트 · 2명Your Cortex Is 150,000 Brains Voting on a Coffee Cup게스트 Jeff Hawkins · 진행자 Lex FridmanJeff Hawkins tells Lex Fridman that intelligence is learning a model of the world, the neocortex is tens of thousands of independent maps that vote, and the fastest path to machine intelligence is reverse-engineering that sheet.
2:30:30ENLex Fridman· 2021년 7월 31일팟캐스트 · 2명The Fallacy of the Successful First Step게스트 Ishan Misra · 진행자 Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.
1:56:17ENLex Fridman· 2021년 4월 19일팟캐스트 · 2명If You Reran Earth a Million Times, Would Anything Like Us Appear?게스트 Risto Miikkulainen · 진행자 Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.
2:01:07ENLex Fridman· 2020년 12월 12일팟캐스트 · 2명Michael Littman isn’t waiting for a runaway god. He’s watching us.게스트 Michael Littman · 진행자 Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.
2:10:06ENLex 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.
1:41:37ENLex Fridman· 2020년 7월 21일팟캐스트 · 2명The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solved게스트 Jitendra Malik · 진행자 Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.
1:37:31ENLex Fridman· 2020년 7월 14일팟캐스트 · 2명The Robot That Brought the Beer Was Being Teleoperated게스트 Sergey Levine · 진행자 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.
2:00:32ENLex Fridman· 2020년 7월 3일팟캐스트 · 2명Slow Synapses Grow Fast Learners — Warmth Is the Harder Problem게스트 Matt Botvinick · 진행자 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.
3:00:18ENLex Fridman· 2020년 6월 13일팟캐스트 · 2명Only a Simulation Can Be Conscious게스트 Joscha Bach · 진행자 Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.
1:37:28ENLex Fridman· 2020년 5월 8일팟캐스트 · 2명We Are Still Massively Underestimating Deep Learning게스트 Ilya Sutskever · 진행자 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.
1:48:01ENLex Fridman· 2020년 4월 3일팟캐스트 · 2명David Silver: AlphaGo Won by Taking Human Knowledge Out게스트 David Silver · 진행자 Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.
1:12:48ENLex Fridman· 2020년 2월 29일팟캐스트 · 2명John Hopfield's Physics of Mind: Glitches Become Features게스트 John Hopfield · 진행자 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.
1:44:55ENLex Fridman· 2020년 2월 14일팟캐스트 · 2명If You Need 60,000 Digits, You Have Not Found Intelligence게스트 Vladimir Vapnik · 진행자 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.
49:53ENLex Fridman· 2019년 11월 25일팟캐스트 · 2명Gilbert Strang still teaches with thick chalk and four subspaces게스트 Gilbert Strang · 진행자 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.
55:24ENLex Fridman· 2019년 10월 27일팟캐스트 · 2명The Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putin게스트 Garry Kasparov · 진행자 Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.
1:25:01ENLex 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.
1:03:13ENLex 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.
1:59:49ENLex Fridman· 2019년 9월 14일팟캐스트 · 2명Intelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explode게스트 François Chollet · 진행자 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.
1:15:58ENLex 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.
1:44:11ENLex Fridman· 2019년 8월 27일팟캐스트 · 2명A Single GPU Is Enough: Jeremy Howard on Teaching Deep Learning게스트 Jeremy Howard · 진행자 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.더 보기267개 중 24개 표시