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43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 3일팟캐스트 · 2명Eight 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.평가와 관측 가능성관측 가능성과 안정성개발 워크플로와 테스트+3
46:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 2일팟캐스트 · 2명95% 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.기업과 전략AI in healthcareAI for science+3
2:31:57EN
Lex 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.모델과 학습머신러닝 기초Deep Learning+3
2:51:33EN
Lex 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.모델과 학습코딩 에이전트머신러닝 기초+3
2:18:29EN
Lex 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.모델과 학습Neuroscience & AI머신러닝 기초+3
2:30:30EN
Lex 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.모델과 학습Computer VisionMultimodal AI+3
1:56:17EN
Lex 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.모델과 학습머신러닝 기초AI research+3
1:49:56EN
Lex Fridman· 2021년 2월 7일팟캐스트 · 2명A 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.기업과 전략금융 AIOpen-source ecosystems+3
2:01:07EN
Lex 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.모델과 학습Reinforcement LearningAGI(범용 인공지능)+3
2:28:11EN
Lex Fridman· 2020년 11월 1일팟캐스트 · 2명People 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.Human-AI Collaboration머신러닝 기초AI research+3
2:34:20EN
Lex Fridman· 2020년 8월 30일팟캐스트 · 2명Intelligence 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.평가와 관측 가능성BenchmarksAI research+3
1:37:31EN
Lex 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.모델과 학습RoboticsReinforcement Learning+3
2:00:32EN
Lex 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.모델과 학습Neuroscience & AIReinforcement Learning+3
1:37:28EN
Lex 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.모델과 학습Deep Learning머신러닝 기초+3
1:12:03EN
Lex Fridman· 2020년 5월 5일팟캐스트 · 2명Mice 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.AI in healthcareComputational BiologyAI for science+3
1:12:48EN
Lex 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.모델과 학습Neuroscience & AI머신러닝 기초+3
1:45:49EN
Lex Fridman· 2020년 2월 24일팟캐스트 · 2명Prediction 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.기업과 전략머신러닝 기초Recommendation systems+3
1:44:55EN
Lex 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.모델과 학습머신러닝 기초AI research+3
1:18:41EN
Lex Fridman· 2020년 1월 14일팟캐스트 · 2명The 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.머신러닝 기초Deep LearningHuman-AI Collaboration+3
1:23:01EN
Lex Fridman· 2019년 12월 11일팟캐스트 · 2명You 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.에이전트AGI(범용 인공지능)AI research+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
49:53EN
Lex 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.모델과 학습머신러닝 기초Deep Learning+3
1:48:55EN
Lex Fridman· 2019년 11월 19일팟캐스트 · 2명Three 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.보안과 안전Privacy & data governance안전과 거버넌스+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
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