筛选结果
83 篇排序
3:28:47EN
Lex Fridman· 2022年10月29日播客 · 2 人对谈Karpathy Calls Trained Neural Nets Complicated Alien Artifacts嘉宾 Andrej Karpathy · 主持 Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.
2:10:08ENLex Fridman· 2022年7月26日播客 · 2 人对谈Gato Is Only the Beginning嘉宾 Oriol Vinyals · 主持 Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.
2:45:10ENLex Fridman· 2022年1月22日播客 · 2 人对谈A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.嘉宾 Yann Lecun · 主持 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.
2:31:57EN → 简体中文Lex Fridman· 2021年9月20日播客 · 2 人对谈Jay McClelland 谈思维如何从神经网络中涌现嘉宾 Jay McClelland · 主持 Lex Fridman这位斯坦福大学的认知科学家，与 Lex Fridman 聊了联结主义（connectionism）、反向传播（backpropagation）、David Rumelhart，以及为什么直觉会先发现某些东西，之后逻辑才去证明它。
2:18:29ENLex Fridman· 2021年8月8日播客 · 2 人对谈Your Cortex Is 150,000 Brains Voting on a Coffee Cup嘉宾 Jeff Hawkins · 主持 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· 2021年7月31日播客 · 2 人对谈The Fallacy of the Successful First Step嘉宾 Ishan Misra · 主持 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· 2021年4月19日播客 · 2 人对谈If You Reran Earth a Million Times, Would Anything Like Us Appear?嘉宾 Risto Miikkulainen · 主持 Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.
2:39:15ENLex Fridman· 2021年2月18日播客 · 2 人对谈Craftsmanship, Graphs and Consciousness: Jim Keller on Building Computers That Think嘉宾 Jim Keller · 主持 Lex FridmanLegendary chip architect Jim Keller talks with Lex Fridman about design philosophy, the future of AI hardware, the human mind and how to live well.
2:08:26EN → 简体中文Lex Fridman· 2020年8月23日播客 · 2 人对谈精彩的讲座留不住：Grant Sanderson 谈费曼、恐惧与按下发布嘉宾 Grant Sanderson · 主持 Lex Fridman3Blue1Brown 的创作者与 Lex Fridman 聊了为什么最讨人喜欢的讲解也可能失败，为什么他羡慕贝尔实验室，以及为什么最有资格教学的专家，往往最不愿意发布内容。
2:29:24ENLex Fridman· 2020年7月31日播客 · 2 人对谈We Are the Descendants of the First Digital Computer嘉宾 Manolis Kellis · 主持 Lex FridmanMIT computational biologist Manolis Kellis tells Lex Fridman why life is digital, why any two humans are 99.9 percent identical, and what evolutionary signatures reveal inside SARS-CoV-2.
1:41:37ENLex Fridman· 2020年7月21日播客 · 2 人对谈The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solved嘉宾 Jitendra Malik · 主持 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· 2020年7月14日播客 · 2 人对谈The Robot That Brought the Beer Was Being Teleoperated嘉宾 Sergey Levine · 主持 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· 2020年7月3日播客 · 2 人对谈Slow Synapses Grow Fast Learners — Warmth Is the Harder Problem嘉宾 Matt Botvinick · 主持 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.
1:37:28ENLex Fridman· 2020年5月8日播客 · 2 人对谈We Are Still Massively Underestimating Deep Learning嘉宾 Ilya Sutskever · 主持 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.
1:12:03ENLex Fridman· 2020年5月5日播客 · 2 人对谈Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dish嘉宾 Daphne Koller · 主持 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.
2:09:02ENLex Fridman· 2020年4月22日播客 · 2 人对谈A Hundred-Nanometer Machine That Is Not Quite Alive嘉宾 Dmitry Korkin · 主持 Lex FridmanDmitry Korkin walks through the structural genomics of SARS-CoV-2, from spike-ACE2 docking to drug-binding sites, vaccines, and cruise-ship simulations, recorded in the first spring of the pandemic.
1:48:01ENLex Fridman· 2020年4月3日播客 · 2 人对谈David Silver: AlphaGo Won by Taking Human Knowledge Out嘉宾 David Silver · 主持 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.
1:29:10ENLex Fridman· 2020年2月20日播客 · 2 人对谈Andrew Ng: The Hardest Part of AI Is Rarely the Algorithm嘉宾 Andrew Ng · 主持 Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.
1:44:55ENLex Fridman· 2020年2月14日播客 · 2 人对谈If You Need 60,000 Digits, You Have Not Found Intelligence嘉宾 Vladimir Vapnik · 主持 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.
1:18:41ENLex Fridman· 2020年1月14日播客 · 2 人对谈The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Us嘉宾 Daniel Kahneman · 主持 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.
1:52:40ENLex Fridman· 2019年12月28日播客 · 2 人对谈Without Analogies, There Can Be No Concepts嘉宾 Melanie Mitchell · 主持 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.
35:46ENLex Fridman· 2019年11月29日播客 · 2 人对谈You never hear structure: Noam Chomsky on language, cognition, and deep learning嘉宾 Noam Chomsky · 主持 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.
49:53ENLex Fridman· 2019年11月25日播客 · 2 人对谈Gilbert Strang still teaches with thick chalk and four subspaces嘉宾 Gilbert Strang · 主持 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.
1:25:01ENLex Fridman· 2019年10月3日播客 · 2 人对谈Gary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.嘉宾 Gary Marcus · 主持 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.加载更多已显示 24 篇，共 83 篇