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1:59:49ENIntelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeGuest François Chollet · Host 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 ResearchGuest Jeremy Howard · Host 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 SearchGuest Sean Carroll · Host 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 DronesGuest Vijay Kumar · Host 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 SliverGuest Yann Lecun · Host 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 LearningGuest Jeremy Howard · Host 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 LearningGuest Jeremy Howard · Host 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 GodsGuest Pamela McCorduck · Host 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 WrongGuest Keoki Jackson · Host 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 BrainGuest Paola Arlotta · Host 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 HelpsGuest George Hotz · Host 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 EarnGuest Kevin Scott · Host 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 SwedenGuest Gustav Soderstrom · Host 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 NapGuest Chris Urmson · Host 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 BecomeGuest Kai-Fu Lee · Host 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.
34:50ENA cheap simulation would render only you, and the wall would have nothing behind itGuest Sean Carroll · Host Lex FridmanSean Carroll walks Lex Fridman from ice-cream emergence and quantum-circuit cosmology to Fermi's paradox, the origin of life, and why academia punishes the conversations that actually change fields.
2:09:42ENThe Brain Does Not Classify Images. It Navigates Maps.Guest Jeff Hawkins · Host 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.
1:33:13ENDon Jones on PowerShell, Career Growth, and the First FollowerDon Jones · PluralsightPowerShell educator Don Jones reflects on writing small composable tools, building a resilient career, and helping others join a community.
1:00:11ENRosalind Picard: Clippy Never Saw You Frown, and That's the Whole ProblemGuest Rosalind Picard · Host Lex FridmanThe MIT professor who named affective computing on emotion recognition, privacy, seizure-detecting wearables, and why a device you can take off is safer than a camera you cannot see.
1:09:11ENDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in ChargeGuest Gavin Miller · Host Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.
1:10:58ENThe Hadoop Lesson That Made Google Give TensorFlow AwayGuest Rajat Monga · Host 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.
1:13:06ENThe Compiler That Got Apple, Google, and Intel to Share a CodebaseGuest Chris Lattner · Host Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.
57:57ENSebastian Funk on a Fast, Safe and Maintainable Packet ProcessorSebastian Funk · Jane StreetA single-core market-data case study shows how latency targets, allocation control and generated code can coexist with high-level abstractions.
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