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1:29:58ENBelieve the Schrödinger Equation. The Cost Is Extra Worlds게스트 Sean Carroll · 진행자 Lex FridmanSean Carroll talks with Lex Fridman about why many-worlds is the barest form of quantum mechanics, why spacetime may only be an approximation, and why measurement should not be a primitive in the laws of physics.
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.
55:24ENThe Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putin게스트 Garry Kasparov · 진행자 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.
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.
4:15ENMichio Kaku on Einstein, Nature and the Limits of Physics게스트 Michio Kaku · 진행자 Lex FridmanA 2019 conversation considers cosmic meaning, scientific laws and ethics.
47:18ENUnboxed Types and Memory Layouts for OCamlStephen Dolan · Jane StreetStephen explains a proposed type-system extension for controlling data representation while retaining OCaml’s fast separate compilation.
1:01:00ENA Hundred Billion Galaxies, and We're Still a Type 0.7 Civilization게스트 Michio Kaku · 진행자 Lex FridmanTheoretical physicist Michio Kaku talks with Lex Fridman about aliens, string theory, digital immortality, and why fusion and Mars are the next civilizational steps.
2:24:31ENWatson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itself게스트 David Ferrucci · 진행자 Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.
22:20ENWhy a Polar Plot of Primes Forms Spirals and RaysA visualization connects approximations of π, residue classes and the distribution of prime numbers.
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.
1:03:13ENYou Can't Have Both Kinds of Fairness, Says Peter Norvig게스트 Peter Norvig · 진행자 Lex FridmanThe co-author of Artificial Intelligence: A Modern Approach walks Lex Fridman through recidivism scores, utility functions, Lisp, MOOCs, and why human-level intelligence should not be the goal.
6:13ENLeonard Susskind on Quantum Computers as Simulators게스트 Leonard Susskind · 진행자 Lex FridmanA 2019 conversation considers quantum simulation and computational limits.
3:00ENLeonard Susskind on the First Black Hole Image게스트 Leonard Susskind · 진행자 Lex FridmanA 2019 reflection on observation, relativity and precision instruments.
1:05:59ENDerek Dreyer: Proving the Safety of Rust with RustBelt and IrisDerek Dreyer · Max Planck Institute for Software SystemsRust combines safe interfaces with libraries that use unsafe code internally. Derek Dreyer explains how RustBelt verifies those libraries and why its proof needs an expressive logic for concurrency.
57:30EN400 Spins in a Pocket, and a Universe Too Small to Store Them게스트 Leonard Susskind · 진행자 Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.
5:57ENFrançois Chollet Questions the Intelligence-Explosion Hypothesis게스트 François Chollet · 진행자 Lex FridmanA 2019 discussion of intelligence, environment and opportunity.
1:17:29ENThe Algorithm Is Already Better. The Clinic Still Uses 1967.게스트 Regina Barzilay · 진행자 Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.
37:38ENThe Best-Selling Vacuum in America Is a Robot게스트 Colin Angle · 진행자 Lex FridmaniRobot CEO Colin Angle on why most robotics companies die, why a Roomba is costed by weight, and why printing privacy promises on the box would hurt sales.
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.
4:39ENJeremy Howard on Practical Deep-Learning Research게스트 Jeremy Howard · 진행자 Lex FridmanThe fast.ai co-founder discusses incentives, transfer learning and active learning.
29:04ENHelping Children Explore Coding Through ProjectsSeth ThomsonSeth Thomson shares family experiences, mentorship and robotics lessons from 2019.
5:29ENSean Carroll on Intelligent Life and the Limits of Our Search게스트 Sean Carroll · 진행자 Lex FridmanA conversation about the Fermi question, unfamiliar forms of intelligence and possible ways civilizations might be detected.
56:47ENWhy Vijay Kumar Refuses to Call Them Drones게스트 Vijay Kumar · 진행자 Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.
1:15:58ENHuman Intelligence Is a Ridiculously Narrow Sliver게스트 Yann Lecun · 진행자 Lex FridmanYann LeCun tells Lex Fridman why giant nets plus gradient descent broke the textbooks, why "AGI" is the wrong word, and why the next leap is a world model learned like a baby.
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