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21 件
並び順
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.モデルと学習機械学習の基礎Deep Learning+3
2:52:56EN
Lex 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.RAG とナレッジAI HistoryAGI(汎用人工知能)+1
2:24:52EN
Lex 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.RoboticsAutonomous SystemsAI research+3
2:01:07EN
Lex 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.モデルと学習Reinforcement LearningAGI(汎用人工知能)+3
1:56:31EN
Lex 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.Consciousness & IntelligencePhilosophy of MindQuantum Mechanics+3
3:00:18EN
Lex 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.モデルと学習Consciousness & IntelligencePhilosophy of Mind+3
1:48:01EN
Lex 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.モデルと学習Reinforcement LearningDeep Learning+3
1:45:56EN
Lex 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.Coding CulturePhilosophyProgramming Languages+2
1:52:40EN
Lex 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.Deep Learning CritiqueAGI TimelinesAI History+3
14:55EN
Lex 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.AI HistoryPhilosophyHuman-AI Collaboration+3
55:24EN
Lex 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.モデルと学習Human-AI CollaborationAI History+3
1:00:06EN
Lex 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.AI HistoryPhilosophyAI research+3
44:48EN
Lex 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.エージェントAutonomous Driving安全性とガバナンス+3
1:26:27EN
Lex 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.企業と戦略AI StrategyAI startups & small teams+3
1:10:58EN
Lex 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.オープンソースとコミュニティOpen-source ecosystemsCommunity building+3
1:55:04EN
Lex 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.AGI(汎用人工知能)AI HistoryAI Alignment+1
1:08:06EN
Lex Fridmanポッドキャスト · 2 人Deep Learning in One Lecture: From Perceptrons to AutoML and the Limits of Learningゲスト Deep Learning Basics · ホスト Lex FridmanLex Fridman's opening lecture for MIT's 6.S094 course surveys why deep learning took off, how neural networks learn, and where the technique still falls short.モデルと学習Deep Learning機械学習の基礎+3
1:00:25EN
Lex Fridmanポッドキャスト · 2 人Can Machines Think? A Guided Tour of Turing's Test, Its Critics and Its Successorsゲスト Turing Test · ホスト Lex FridmanLex Fridman walks through Alan Turing's 1950 paper, the objections to it, and the benchmarks that have tried to replace or extend the imitation game.AI HistoryBenchmarksPhilosophy+3
52:28EN
Lex Fridmanポッドキャスト · 2 人Ray Kurzweil on Hierarchies, the Neocortex and Merging with AIゲスト Ray Kurzweil · ホスト Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.モデルと学習AGI(汎用人工知能)AI History+3
32:41EN
Lex Fridmanポッドキャスト · 2 人How IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a Breakthroughゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci tells Lex Fridman how he talked IBM into the Jeopardy challenge and how his team built Watson's search, scoring and confidence machinery in about four years.モデルと学習AI HistorySearch & retrieval+1
11:59EN
Lex Fridmanポッドキャスト · 2 人From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Beゲスト François Chollet · ホスト Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.オープンソースとコミュニティDeep LearningOpen-source ecosystems+3