필터 결과
165개정렬
14:55ENKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions게스트 Garry Kasparov · 진행자 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.
20:34ENTeaching Machines the Frameworks Humans Take for Granted게스트 David Ferrucci · 진행자 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
1:25:01ENGary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.게스트 Gary Marcus · 진행자 Lex FridmanOn Lex Fridman's podcast, the NYU emeritus and Rebooting AI co-author argues that perception and reasoning need different tools — and that trustworthy AI is impossible until machines can represent harm, bottles, and intent.
1:59:49ENIntelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explode게스트 François Chollet · 진행자 Lex FridmanThe Keras creator tells Lex Fridman that intelligence lives in a brain, a body, and a problem, that science already is a recursively self-improving superhuman system with linear output, and that the real near-term danger is the newsfeed.
2:09:42ENThe Brain Does Not Classify Images. It Navigates Maps.게스트 Jeff Hawkins · 진행자 Lex FridmanJeff Hawkins tells Lex Fridman why the neocortex stores the world as thousands of voting reference frames, and why scaling today's networks will not get us there.
1:19:59ENSchmidhuber’s bet: true meta-learning rewrites the learner, not the last layer게스트 Juergen Schmidhuber · 진행자 Lex FridmanJürgen Schmidhuber tells Lex Fridman how Gödel machines, compression-as-science, Power Play, LSTMs, and world models all descend from a teenage plan to multiply one person’s curiosity into a better physicist than he could ever be.
37:53ENSteven Pinker: Intelligence Is Not a Will to Power게스트 Steven Pinker · 진행자 Lex FridmanThe Harvard psychologist tells Lex Fridman why nuke analogies, paperclip stories, and AI-takeover fears mix up problem-solving with domination.
57:54ENA 2040 Siri That Passes Every Turing Test Still Wouldn't Be Conscious게스트 Christof Koch · 진행자 Lex FridmanNeuroscientist Christof Koch tells Lex Fridman why intelligence is function, consciousness is being, and a perfect brain simulation has no more inner life than a laptop simulating a black hole.
1:38:23ENYudkowsky and Hanson Debate Whether an Intelligence Explosion Would Be LocalEliezer Yudkowsky, Robin HansonA historical debate about self-improving AI, accumulated knowledge, innovation and whether a first mover could gain a decisive lead.
15:01ENDeep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks게스트 Daniel Kahneman · 진행자 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.
11:11ENYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not General게스트 Yann Lecun · 진행자 Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.
1:17:38ENBrains Are Body Regulators: Lisa Feldman Barrett on Why Emotions Are Constructed, Not Detected게스트 Lisa Feldman Barrett · 진행자 Lex FridmanIn a guest talk for MIT's AGI course, neuroscientist Lisa Feldman Barrett explains why faces don't display emotions, why brains exist to run bodies, and what that means for building human-like AI.
1:19:13ENAlien Intelligence, Radical Upside: Nathan Labenz on Why AI Is the Next Industrial Revolution진행자 Nathan LabenzIn the second episode of The Cognitive Revolution, Nathan Labenz tells Erik Torenberg how he went from asteroid-watching AI skeptic to full-time AI scout, and lays out the upside and downside cases.
18:46ENDeep Learning Plus One Idea: Ilya Sutskever on Building AGI진행자 Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.
15:41ENAbolishing Involuntary Death: Ben Goertzel on Immortality, Pain and the Meaning of Life진행자 Lex FridmanIn a clip from Lex Fridman's podcast, AI researcher Ben Goertzel argues that death and pain should be optional, and sketches what it would take to fund a serious attack on aging.
2:53:45ENJoscha Bach on Seven Stages of Lucidity, Brutalist LLMs, and Why Life on Earth Isn't Only About Humans게스트 Joscha Bach · 진행자 Lex FridmanA wide-ranging conversation on how minds are built, what language models are missing, and how an AI-saturated world might change consciousness, identity and risk.
17:40ENFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AI진행자 Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.
53:39ENA Libertarian's Case for Regulating AI: Kill Switches, Chip Choke Points and a New Form of Life진행자 Nathan LabenzLindy founder Flo Crivello explains why a self-described accelerationist makes an exception for superintelligence, and what he thinks of Biden's executive order.
1:30:52ENBuilding Minds from Unified Theories: Nate Derbinsky on Cognitive Architectures, Soar, and the Case for Forgetting게스트 MIT AGI · 진행자 Lex FridmanA guest lecture in MIT's AGI course on how cognitive architectures try to assemble human-level intelligence, and how studying human memory made the Soar architecture faster and better.
11:41ENTeaching Machines Humility: Stuart Russell on Escaping the King Midas Problem게스트 Stuart Russell · 진행자 Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.
1:55:04ENMining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Do게스트 Stephen Wolfram · 진행자 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.
1:00:25ENCan Machines Think? A Guided Tour of Turing's Test, Its Critics and Its Successors게스트 Turing Test · 진행자 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.
24:08ENIntelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaning게스트 David Ferrucci · 진행자 Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.
23:11ENNick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Risk게스트 Nick Bostrom · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.
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