筛选结果
32 篇排序
1:50:09ENNine Hundred Occupations, Twenty Years, and Still No AI Revolution主持 Nathan LabenzEconomist Robin Hanson tells Cognitive Revolution why each new AI demo looks like the last one, and why wages and headcount are the tests that matter.
1:58:43ENA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.主持 Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.
1:25:50ENPrompt Engineering Became Programming, and Riley Goodside Is Fine With That主持 Nathan LabenzScale AI’s first staff prompt engineer on tool use, fine-tuning without amnesia, generate-then-rank, and why the 2023 job-of-the-future story never arrived.
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。
2:52:56ENDouglas Lenat's 37-Year Bet That Common Sense Can Be Written Down嘉宾 Douglas Lenat · 主持 Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.
2:24:52EN → 简体中文判断机器人是否成熟,要看环境为它改变了多少,别只看演示嘉宾 Rodney Brooks · 主持 Lex FridmanRodney Brooks 对 Lex Fridman 讲了为什么脸是一种承诺,为什么“计算”这个比喻被用得太过头,以及为什么机器人公司会死于价格、预期和习惯。
2:02:45EN → 简体中文偷代码:让算法跑起来本身一分不给主持 Lex FridmanCharles Isbell 和 Michael Littman 与 Lex Fridman 聊了为什么机器学习不只是统计,为什么挣扎必须保有希望,以及 6600 美元的在线硕士到底卖的是什么。
2:01:07EN → 简体中文Michael Littman 不等待失控的神,他在观察我们嘉宾 Michael Littman · 主持 Lex Fridman布朗大学的强化学习(reinforcement learning)研究者 Michael Littman 对 Lex Fridman 说,为什么意外出现的超级智能(superintelligence),在他看来就像一架 747 自行组装起来,而社交媒体、死记硬背式的语言和心智理论(theory of mind),更让他担心。
1:56:31EN → 简体中文一面白墙并不比人更有意识嘉宾 Scott Aaronson · 主持 Lex FridmanScott Aaronson 与 Lex Fridman 聊整合信息论(integrated information theory)、Penrose 那套不可计算的心智理论、GPT-3、P 与 NP 问题,以及为什么那些支持开放讨论的沉默声音必须大声一些。
3:00:18EN → 简体中文只有模拟才可能有意识嘉宾 Joscha Bach · 主持 Lex Fridman约沙·巴赫(Joscha Bach)对 Lex Fridman 讲,为什么一个神经元什么也感觉不到,为什么存在是默认状态,以及为什么这个正在走向消亡的世界,仍然是这场游戏里最好的一关。
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。
1:45:56EN → 简体中文0.8 就够了:Donald Knuth 谈算法、TeX,以及他在一把椅子上度过的人生嘉宾 Donald Knuth · 主持 Lex FridmanLex Fridman 到 Donald Knuth 家中做客,聊 IBM 650、极客的大脑、文学化编程、《计算机程序设计艺术》、TeX、P 与 NP 问题,以及他那份 80% 的幸福预算。
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。
14:55ENKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions嘉宾 Garry Kasparov · 主持 Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
55:24ENThe Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putin嘉宾 Garry Kasparov · 主持 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.
1:00:06ENPamela McCorduck: AI Began With the Ancient Wish to Forge the Gods嘉宾 Pamela McCorduck · 主持 Lex FridmanThe novelist who wrote the first popular history of artificial intelligence talks with Lex Fridman about Dartmouth, AI winters, and why existential panic looks like the male gaze.
44:48ENChris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Nap嘉宾 Chris Urmson · 主持 Lex FridmanLex Fridman talks with Aurora CEO Chris Urmson about the DARPA races, why lidar is a tool rather than a crutch, and why Level 2 economics will not grow into true autonomy.
1:26:27ENKai-Fu Lee: Originality Pride Is a Handcuff on What a Company Can Become嘉宾 Kai-Fu Lee · 主持 Lex FridmanIn a 2019 conversation with Lex Fridman, the investor and former Google China president explains why China's copycat years were a training ground, why data often beats clever algorithms, and what facing death did to his idea of work.
1:10:58ENThe Hadoop Lesson That Made Google Give TensorFlow Away嘉宾 Rajat Monga · 主持 Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.
46:25ENDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Through主持 Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
1:25:16ENFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networks主持 Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.
12:16ENRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experiment主持 Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.
1:55:04ENMining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Do嘉宾 Stephen Wolfram · 主持 Lex FridmanIn a talk for MIT's AGI course, Stephen Wolfram connects Wolfram Alpha, simple programs, computational irreducibility and the problem of telling machines what humans want.
1:03:25ENTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math主持 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
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