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8:37:34EN
Lex Fridman· 2. Aug. 2024Podcast · 2 StimmenThe first Neuralink patient beat a world record with most of his electrodes goneGast: Elon Musk · Moderation: Lex FridmanLex Fridman talks with Elon Musk, the Neuralink team, and Noland Arbaugh about a wireless brain implant, the software that rescued it, and why bandwidth is Musk’s bet on living with AI.
59:24ENLex Fridman· 3. Dez. 2023Podcast · 2 StimmenIf You Only Trust What You Can See, You Miss Most of the UniverseGast: Lisa Randall · Moderation: Lex FridmanHarvard physicist Lisa Randall talks with Lex Fridman about dark matter, dinosaur extinctions, the LHC, and why a theory is only as good as the measurement that can kill it.
4:27:46ENLex Fridman· 14. März 2023Podcast · 2 StimmenHalf a Million Girls in Wells, and We Still Change the ChannelGast: Sam Harris · Moderation: Lex FridmanSam Harris tells Lex Fridman why emotional contagion is a bad moral compass, why Trump broke norms more than laws, and why Twitter, COVID, and AGI all look like failures of seriousness.
3:35:40ENLex Fridman· 24. Aug. 2022Podcast · 2 StimmenLiv Boeree on Moloch, Useful Fictions, and Why Luck Keeps Poker AliveGast: Liv Boeree · Moderation: Lex FridmanThe poker champion and science educator talks with Lex Fridman about game theory, attention, simulation, aliens, and the existential races that look like games nobody can quit.
1:09:14ENLex Fridman· 8. Juli 2020Podcast · 2 StimmenSuffering Is a State You'd Rather Not Be In — Peter Singer on Animals, Robots, and UsGast: Peter Singer · Moderation: Lex FridmanOn Lex Fridman's podcast, the Princeton bioethicist defines suffering, extends it from factory farms to possible machine minds, and still puts extreme poverty first.
2:12:36ENLex Fridman· 12. Mai 2020Podcast · 2 StimmenAttacks Climb the Stack Until They Land on PeopleGast: Dawn Song · Moderation: Lex FridmanDawn Song tells Lex Fridman why the next security crisis is human, how a sticker can rewrite a stop sign, and why data still has no property right.
1:39:57ENLex Fridman· 17. Jan. 2020Podcast · 2 StimmenPeople Say They Want Perfect Robots. They Trust the Ones That Push BackGast: Ayanna Howard · Moderation: Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.
1:48:55ENLex Fridman· 19. Nov. 2019Podcast · 2 StimmenThree Fairness Rules That Cannot All Be TrueGast: Michael Kearns · Moderation: Lex FridmanMichael Kearns tells Lex Fridman why algorithmic fairness is messier than privacy, and why a Pareto curve belongs in front of the people who actually have to choose.
1:08:37ENLex Fridman· 18. Apr. 2019Podcast · 2 StimmenA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkGast: Ian Goodfellow · Moderation: Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.
1:21:56ENLex Fridman· 20. März 2019Podcast · 2 StimmenWe Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already HereGast: Eric Weinstein · Moderation: Lex FridmanOn the Lex Fridman Podcast, the mathematician and Thiel Capital managing director argues that selection without intelligence can already parasitize us, and that our bigger failure is wisdom that never caught up with the toys.
1:06:17ENLex Fridman· 28. Dez. 2018Podcast · 2 StimmenLibratus Beat the World's Best Poker Players Without a Neural NetworkGast: Tuomas Sandholm · Moderation: Lex FridmanTuomas Sandholm tells Lex Fridman how game theory, abstraction, and search — not deep learning — took heads-up no-limit Texas Hold'em, and why the harder work is deploying that toolkit outside the casino.
1:07:29ENLex FridmanPodcastDeep Reinforcement Learning from First Principles: Rewards, Q-Learning, Policy Gradients and AlphaZeroModeration: Lex FridmanLex Fridman's MIT 6.S091 opening lecture walks from the basic RL framework through DQN, actor-critic methods and AlphaZero to the unsolved problem of moving from simulation to the real world.