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43:45ENEight Years of No Growth, Then OpenAI and NVIDIA Became His Customers진행자 Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.
46:57EN95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First Decision진행자 Sarah Guo, Elad GilA new medicine still takes more than a decade and well over a billion dollars — and Insitro's founder argues the expensive failures start with the wrong target, indication, or patient.
2:31:57ENJay 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.
2:51:33ENThe 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.
2:18:29ENYour 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.
2:30:30ENThe 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.
1:56:17ENIf 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.
1:49:56ENA 21-Year-Old at a Party Called GameStop. He Was Right.게스트 Richard Craib · 진행자 Lex FridmanNumerai founder Richard Craib talks with Lex Fridman about WallStreetBets, crowdsourced machine learning, and why finance is a machine for pulling the future into the present.
2:01:07ENMichael 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.
2:28:11ENPeople Are Easy to Predict — and They Hate Being Told So게스트 Charles Isbell · 진행자 Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.
2:34:20ENIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared For게스트 François Chollet · 진행자 Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.
1:37:31ENThe 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.
2:00:32ENSlow 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.
1:37:28ENWe 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.
1:12:03ENMice Don't Get Alzheimer's: Daphne Koller on Disease in a Dish게스트 Daphne Koller · 진행자 Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.
1:12:48ENJohn 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.
1:45:49ENPrediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolution게스트 Michael I. Jordan · 진행자 Lex FridmanThe Berkeley statistician tells Lex Fridman that today's systems are a proto-engineering field, and that the hard work is connecting producers and consumers — not imitating minds.
1:44:55ENIf 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.
1:18:41ENThe SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Us게스트 Daniel Kahneman · 진행자 Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.
1:23:01ENYou Cannot Ask a Question You Have No Words For게스트 Judea Pearl · 진행자 Lex FridmanA teenager spent three days in bed with a fever after learning that geometry could be done in algebra — then spent a career giving cause and effect a mathematics.
35:46ENYou 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.
49:53ENGilbert 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.
1:48:55ENThree Fairness Rules That Cannot All Be True게스트 Michael Kearns · 진행자 Lex FridmanMichael Kearns tells Lex Fridman why algorithmic fairness is messier than privacy, and why a Pareto curve belongs in front of the people who actually have to choose.
1:03:13ENYou 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.
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