絞り込み結果
32 件並び順
1:50:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月27日ポッドキャストNine Hundred Occupations, Twenty Years, and Still No AI Revolutionホスト 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日ポッドキャストA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.ホスト 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日ポッドキャストPrompt Engineering Became Programming, and Riley Goodside Is Fine With Thatホスト 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
Lex Fridman· 2021年9月20日ポッドキャスト · 2 人Jay McClelland on How Thought Emerges From Neural Networksゲスト Jay McClelland · ホスト Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.
2:52:56ENLex Fridman· 2021年9月15日ポッドキャスト · 2 人Douglas Lenat's 37-Year Bet That Common Sense Can Be Written Downゲスト Douglas Lenat · ホスト Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.
2:24:52ENLex Fridman· 2021年9月3日ポッドキャスト · 2 人Judge a robot by the environment it forces to change, not by the demoゲスト Rodney Brooks · ホスト Lex FridmanRodney Brooks tells Lex Fridman why faces are promises, why computation is an overworked metaphor, and why robot companies die on price, expectation, and habit.
2:02:45ENLex Fridman· 2020年12月26日ポッドキャストSteal the Code: You Get Zero Points for Making the Algorithm Runホスト Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.
2:01:07ENLex Fridman· 2020年12月12日ポッドキャスト · 2 人Michael Littman isn’t waiting for a runaway god. He’s watching us.ゲスト Michael Littman · ホスト 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日ポッドキャスト · 2 人A Blank Wall Is Not More Conscious Than a Personゲスト Scott Aaronson · ホスト 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.
3:00:18ENLex Fridman· 2020年6月13日ポッドキャスト · 2 人Only a Simulation Can Be Consciousゲスト Joscha Bach · ホスト Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.
1:48:01ENLex Fridman· 2020年4月3日ポッドキャスト · 2 人David Silver: AlphaGo Won by Taking Human Knowledge Outゲスト David Silver · ホスト 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.
1:45:56ENLex Fridman· 2019年12月30日ポッドキャスト · 2 人Point eight is enough: Donald Knuth on algorithms, TeX, and a life in one chairゲスト Donald Knuth · ホスト Lex FridmanLex Fridman visits Donald Knuth at home for a conversation about the IBM 650, geek brains, literate programming, The Art of Computer Programming, TeX, P versus NP, and a happiness budget of 80 percent.
1:52:40ENLex Fridman· 2019年12月28日ポッドキャスト · 2 人Without Analogies, There Can Be No Conceptsゲスト Melanie Mitchell · ホスト 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日ポッドキャスト · 2 人Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questionsゲスト Garry Kasparov · ホスト 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日ポッドキャスト · 2 人The Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putinゲスト Garry Kasparov · ホスト 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日ポッドキャスト · 2 人Pamela McCorduck: AI Began With the Ancient Wish to Forge the Godsゲスト Pamela McCorduck · ホスト 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日ポッドキャスト · 2 人Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Napゲスト Chris Urmson · ホスト 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日ポッドキャスト · 2 人Kai-Fu Lee: Originality Pride Is a Handcuff on What a Company Can Becomeゲスト Kai-Fu Lee · ホスト 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日ポッドキャスト · 2 人The Hadoop Lesson That Made Google Give TensorFlow Awayゲスト Rajat Monga · ホスト 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日ポッドキャストDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Throughホスト Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
1:25:16ENLex FridmanポッドキャストFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networksホスト 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ポッドキャストRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experimentホスト 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ポッドキャスト · 2 人Mining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Doゲスト Stephen Wolfram · ホスト 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ポッドキャストTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Mathホスト 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.もっと見る32 件中 24 件を表示