筛选结果
83 篇排序
3:28:47ENKarpathy 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.
2:10:08ENGato 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.
2:45:10EN → 简体中文青少年二十小时学会开车,汽车却还学不会嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun 在 Lex Fridman 的播客里讲明白:自监督世界模型(self-supervised world models)为什么是智能缺失的“暗物质”,以及机器为什么还没到家猫的水平。
2:31:57EN → 简体中文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。
2:18:29ENYour 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.
2:30:30ENThe 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.
1:56:17EN → 简体中文如果把地球重演一百万次,还会有像我们这样的生物出现吗?嘉宾 Risto Miikkulainen · 主持 Lex FridmanRisto Miikkulainen 谈神经进化、鬣狗围猎、从不睡觉的罗勒,以及为什么“变异加选择”仍能找到反向传播看不见的解。
2:39:15ENCraftsmanship, 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。
2:29:24EN → 简体中文我们是第一台数字计算机的后代嘉宾 Manolis Kellis · 主持 Lex FridmanMIT 计算生物学家 Manolis Kellis 与 Lex Fridman 聊了生命为什么是数字的、为什么任意两个人的基因组都有 99.9% 相同,以及进化留下的痕迹在新冠病毒 SARS-CoV-2 的基因组里能看出什么。
1:41:37ENThe 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.
1:37:31ENThe 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.
2:00:32EN → 简体中文慢速突触养出快速学习者,温暖才是更难的问题嘉宾 Matt Botvinick · 主持 Lex FridmanDeepMind 神经科学负责人 Matt Botvinick 与 Lex Fridman 谈前额叶皮层(prefrontal cortex)、元强化学习(meta-reinforcement learning)和多巴胺研究,如何与一个根本问题相遇:在 AI 时代,更好的人类生活究竟应该是什么样子。
1:37:28EN → 简体中文我们仍在严重低估深度学习嘉宾 Ilya Sutskever · 主持 Lex FridmanIlya Sutskever 在与 Lex Fridman 的对谈中谈到,为什么 2012 年的突破靠的是信念,为什么更大的模型可能会先变差再变好,以及如果拥有一个通用人工智能(AGI),他会怎么做。
1:12:03ENMice 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.
2:09:02ENA 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.
1:48:01EN → 简体中文David Silver:AlphaGo 赢在拿掉了人类知识嘉宾 David Silver · 主持 Lex FridmanAlphaGo 与 AlphaZero 背后的 DeepMind 研究员 David Silver 向 Lex Fridman 讲述:无人领取的百万美元围棋奖金、七岁时用过的 BBC Micro,以及一次蜜月中的灵感,如何促成了超人水平的自我对弈。
1:29:10ENAndrew 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.
1:44:55ENIf 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.
1:18:41ENThe 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.
1:52:40EN → 简体中文没有类比,就没有概念嘉宾 Melanie Mitchell · 主持 Lex FridmanMelanie Mitchell 与 Lex Fridman 谈类比为何处于思考的核心,为何放大规模的学习仍然败在常识上,以及她为什么认为人类水平的 AI 还要一百多年才能实现。
35:46ENYou 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.
49:53ENGilbert 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.
1:25:01ENGary 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.
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