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Lex Fridman· Oct 27, 2019Podcast · 2 speakersThe Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and PutinGuest Garry Kasparov · Host 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.
20:34ENLex Fridman· Oct 26, 2019Podcast · 2 speakersTeaching Machines the Frameworks Humans Take for GrantedGuest David Ferrucci · Host Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
4:15ENLex Fridman· Oct 25, 2019Podcast · 2 speakersMichio Kaku on Einstein, Nature and the Limits of PhysicsGuest Michio Kaku · Host Lex FridmanA 2019 conversation considers cosmic meaning, scientific laws and ethics.
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Jane Street· Oct 24, 2019Unboxed 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.
1:01:00ENLex Fridman· Oct 22, 2019Podcast · 2 speakersA Hundred Billion Galaxies, and We're Still a Type 0.7 CivilizationGuest Michio Kaku · Host 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.
2:24:31ENLex Fridman· Oct 11, 2019Podcast · 2 speakersWatson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain ItselfGuest David Ferrucci · Host 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.
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3Blue1Brown· Oct 8, 2019Why a Polar Plot of Primes Forms Spirals and RaysA visualization connects approximations of π, residue classes and the distribution of prime numbers.
1:25:01ENLex Fridman· Oct 3, 2019Podcast · 2 speakersGary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.Guest Gary Marcus · Host 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.
1:03:13ENLex Fridman· Sep 30, 2019Podcast · 2 speakersYou Can't Have Both Kinds of Fairness, Says Peter NorvigGuest Peter Norvig · Host 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.
6:13ENLex Fridman· Sep 28, 2019Podcast · 2 speakersLeonard Susskind on Quantum Computers as SimulatorsGuest Leonard Susskind · Host Lex FridmanA 2019 conversation considers quantum simulation and computational limits.
3:00ENLex Fridman· Sep 27, 2019Podcast · 2 speakersLeonard Susskind on the First Black Hole ImageGuest Leonard Susskind · Host Lex FridmanA 2019 reflection on observation, relativity and precision instruments.
1:05:59ENJane Street· Sep 27, 2019Derek 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.
57:30ENLex Fridman· Sep 26, 2019Podcast · 2 speakers400 Spins in a Pocket, and a Universe Too Small to Store ThemGuest Leonard Susskind · Host 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.
5:57ENLex Fridman· Sep 24, 2019Podcast · 2 speakersFrançois Chollet Questions the Intelligence-Explosion HypothesisGuest François Chollet · Host Lex FridmanA 2019 discussion of intelligence, environment and opportunity.
1:17:29ENLex Fridman· Sep 23, 2019Podcast · 2 speakersThe Algorithm Is Already Better. The Clinic Still Uses 1967.Guest Regina Barzilay · Host 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.
37:38ENLex Fridman· Sep 19, 2019Podcast · 2 speakersThe Best-Selling Vacuum in America Is a RobotGuest Colin Angle · Host 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.
1:59:49ENLex Fridman· Sep 14, 2019Podcast · 2 speakersIntelligence 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.
4:39ENLex Fridman· Sep 10, 2019Podcast · 2 speakersJeremy Howard on Practical Deep-Learning ResearchGuest Jeremy Howard · Host Lex FridmanThe fast.ai co-founder discusses incentives, transfer learning and active learning.
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GOTO Conferences· Sep 10, 2019Helping Children Explore Coding Through ProjectsSeth ThomsonSeth Thomson shares family experiences, mentorship and robotics lessons from 2019.
5:29ENLex Fridman· Sep 9, 2019Podcast · 2 speakersSean 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.
56:47ENLex Fridman· Sep 8, 2019Podcast · 2 speakersWhy 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.
1:15:58ENLex Fridman· Aug 31, 2019Podcast · 2 speakersHuman 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.
5:00ENLex Fridman· Aug 28, 2019Podcast · 2 speakersJeremy Howard on Getting Started with Deep LearningGuest Jeremy Howard · Host Lex FridmanA 2019 conversation emphasizes training models, inspecting data and solving real problems.
1:44:11ENLex Fridman· Aug 27, 2019Podcast · 2 speakersA 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.Load moreShowing 24 of 4,484