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2:31:57ENJay McClelland on How Thought Emerges From Neural NetworksInvité : Jay McClelland · Anime : Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.
2:52:56ENDouglas Lenat's 37-Year Bet That Common Sense Can Be Written DownInvité : Douglas Lenat · Anime : Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.
2:24:52ENJudge a robot by the environment it forces to change, not by the demoInvité : Rodney Brooks · Anime : 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.
2:01:07ENMichael Littman isn’t waiting for a runaway god. He’s watching us.Invité : Michael Littman · Anime : 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.
1:56:31ENA Blank Wall Is Not More Conscious Than a PersonInvité : Scott Aaronson · Anime : 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.
3:00:18ENOnly a Simulation Can Be ConsciousInvité : Joscha Bach · Anime : 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.
1:48:01ENDavid Silver: AlphaGo Won by Taking Human Knowledge OutInvité : David Silver · Anime : 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.
1:45:56ENPoint eight is enough: Donald Knuth on algorithms, TeX, and a life in one chairInvité : Donald Knuth · Anime : 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.
1:52:40ENWithout Analogies, There Can Be No ConceptsInvité : Melanie Mitchell · Anime : 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.
14:55ENKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the QuestionsInvité : Garry Kasparov · Anime : 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 PutinInvité : Garry Kasparov · Anime : 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 GodsInvité : Pamela McCorduck · Anime : 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 NapInvité : Chris Urmson · Anime : 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 BecomeInvité : Kai-Fu Lee · Anime : 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 AwayInvité : Rajat Monga · Anime : 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.
1:55:04ENMining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to DoInvité : Stephen Wolfram · Anime : 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.
1:08:06ENDeep Learning in One Lecture: From Perceptrons to AutoML and the Limits of LearningInvité : Deep Learning Basics · Anime : 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.
1:00:25ENCan Machines Think? A Guided Tour of Turing's Test, Its Critics and Its SuccessorsInvité : Turing Test · Anime : 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.
52:28ENRay Kurzweil on Hierarchies, the Neocortex and Merging with AIInvité : Ray Kurzweil · Anime : 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.
32:41ENHow IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a BreakthroughInvité : David Ferrucci · Anime : 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.
11:59ENFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvité : François Chollet · Anime : 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.








