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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.
5:00ENJeremy Howard on Getting Started with Deep Learning게스트 Jeremy Howard · 진행자 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 Learning게스트 Jeremy Howard · 진행자 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 Gods게스트 Pamela McCorduck · 진행자 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 Wrong게스트 Keoki Jackson · 진행자 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 Brain게스트 Paola Arlotta · 진행자 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 Helps게스트 George Hotz · 진행자 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 Earn게스트 Kevin Scott · 진행자 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 Sweden게스트 Gustav Soderstrom · 진행자 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 Nap게스트 Chris Urmson · 진행자 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.
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