筛选结果
32 篇排序
1:50:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月27日播客Nine 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.
1:58:43ENCognitive Revolution "How AI Changes Everything"· 2024年2月7日播客A 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.
1:25:50ENCognitive Revolution "How AI Changes Everything"· 2023年4月18日播客Prompt 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
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。
2:52:56ENLex Fridman· 2021年9月15日播客 · 2 人对谈Douglas 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Lex Fridman· 2021年9月3日播客 · 2 人对谈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Lex Fridman· 2020年12月26日播客偷代码：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。
2:01:07ENLex Fridman· 2020年12月12日播客 · 2 人对谈Michael Littman isn’t waiting for a runaway god. He’s watching us.嘉宾 Michael Littman · 主持 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.
1:56:31ENLex Fridman· 2020年10月12日播客 · 2 人对谈A Blank Wall Is Not More Conscious Than a Person嘉宾 Scott Aaronson · 主持 Lex FridmanScott Aaronson walks Lex Fridman through integrated information theory, Penrose’s uncomputable mind, GPT-3, P versus NP, and why silent support for open discourse has to get louder.
3:00:18EN → 简体中文Lex Fridman· 2020年6月13日播客 · 2 人对谈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。
1:48:01ENLex 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.
1:45:56EN → 简体中文Lex Fridman· 2019年12月30日播客 · 2 人对谈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。
1:52:40ENLex 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.
14:55ENLex Fridman· 2019年10月29日播客 · 2 人对谈Kasparov 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.
55:24ENLex Fridman· 2019年10月27日播客 · 2 人对谈The 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.
1:00:06ENLex Fridman· 2019年8月23日播客 · 2 人对谈Pamela 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.
44:48ENLex Fridman· 2019年7月22日播客 · 2 人对谈Chris 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.
1:26:27ENLex Fridman· 2019年7月15日播客 · 2 人对谈Kai-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.
1:10:58ENLex Fridman· 2019年6月3日播客 · 2 人对谈The 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.
46:25ENLex Fridman· 2019年1月17日播客Deep 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.
1:25:16ENLex Fridman播客From 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.
12:16ENLex Fridman播客Rule 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.
1:55:04ENLex Fridman播客 · 2 人对谈Mining 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.
1:03:25ENLex Fridman播客Theano 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.加载更多已显示 24 篇，共 32 篇