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1:03:13ENYou Can't Have Both Kinds of Fairness, Says Peter NorvigInvitado: Peter Norvig · Presenta: 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 SimulatorsInvitado: Leonard Susskind · Presenta: Lex FridmanA 2019 conversation considers quantum simulation and computational limits.
3:00ENLeonard Susskind on the First Black Hole ImageInvitado: Leonard Susskind · Presenta: 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 ThemInvitado: Leonard Susskind · Presenta: 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 HypothesisInvitado: François Chollet · Presenta: Lex FridmanA 2019 discussion of intelligence, environment and opportunity.
1:17:29ENThe Algorithm Is Already Better. The Clinic Still Uses 1967.Invitado: Regina Barzilay · Presenta: 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 RobotInvitado: Colin Angle · Presenta: 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 explodeInvitado: François Chollet · Presenta: 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 ResearchInvitado: Jeremy Howard · Presenta: 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 SearchInvitado: Sean Carroll · Presenta: 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 DronesInvitado: Vijay Kumar · Presenta: 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 SliverInvitado: Yann Lecun · Presenta: 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.
5:00ENJeremy Howard on Getting Started with Deep LearningInvitado: Jeremy Howard · Presenta: Lex FridmanA 2019 conversation emphasizes training models, inspecting data and solving real problems.
1:44:11ENA Single GPU Is Enough: Jeremy Howard on Teaching Deep LearningInvitado: Jeremy Howard · Presenta: Lex FridmanThe fast.ai founder tells Lex Fridman why domain experts, not more papers or more TPUs, will decide whether deep learning actually helps people.
1:00:06ENPamela McCorduck: AI Began With the Ancient Wish to Forge the GodsInvitado: Pamela McCorduck · Presenta: 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.
1:13:06ENLockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It WrongInvitado: Keoki Jackson · Presenta: Lex FridmanKeoki Jackson tells Lex Fridman why going back to the Moon is the easy part—and why proving a learning system will still do the right thing is not.
57:42ENA Brain Organoid Is Not a BrainInvitado: Paola Arlotta · Presenta: Lex FridmanHarvard developmental biologist Paola Arlotta on how the cerebral cortex is built, why timing and mechanical force are part of the code, and why a dish of stem cells is only a window onto that process.
1:59:37ENLane Centering Is the Only Self-Driving Feature That Already HelpsInvitado: George Hotz · Presenta: Lex Fridmancomma.ai founder George Hotz tells Lex Fridman why staying in the lane beats Level 5 promises, and why a robotaxi stack still has no network effect.
57:44ENKevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others EarnInvitado: Kevin Scott · Presenta: Lex FridmanMicrosoft's CTO talks radical markets, data dignity, Dunbar's number, and why a platform fails if only a handful of companies decide what AI is for.
1:47:04ENGustav Söderström on Why Spotify Could Only Be Born in SwedenInvitado: Gustav Soderstrom · Presenta: Lex FridmanLex Fridman talks with Spotify’s chief R&D officer about three-minute songs, 250-millisecond playback, playlist luck, and herding record labels.
44:48ENChris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You NapInvitado: Chris Urmson · Presenta: 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 BecomeInvitado: Kai-Fu Lee · Presenta: 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.
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