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22 articlesTrier
32:22ENDemis Hassabis on AGI, Scientific Discovery and the Challenges AheadInvité : Demis Hassabis · Anime : Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.
1:14:39ENNick Frosst on Cohere’s Enterprise AI Strategy and the Limits of HypeInvité : Nick Frosst · Anime : Harry StebbingsThe Cohere co-founder discusses data, benchmarks, workplace automation and why he challenges popular claims about AGI.
1:16:25ENMartin Casado on AI Models, Open Technology and Venture CompetitionInvité : Martin Casado · Anime : Harry StebbingsThe Andreessen Horowitz partner discusses coding tools, open-model policy, labor disruption and how his firm evaluates investments.
1:03:46ENZico Kolter on AI Safety, Scaling and the Limits of Open ModelsInvité : Zico Kolter · Anime : Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.
50:20ENArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksInvité : Arvind Narayanan · Anime : Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
8:37:34ENThe first Neuralink patient beat a world record with most of his electrodes goneInvité : Elon Musk · Anime : 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.
54:06ENBryan Johnson on New Ideas, Longevity and Algorithmic DecisionsInvité : Bryan Johnson · Anime : Harry StebbingsThe Blueprint founder explains his survival-centered philosophy and personal routines, while Harry Stebbings questions uncertainty, consent and social consequences.
59:24ENIf You Only Trust What You Can See, You Miss Most of the UniverseInvité : Lisa Randall · Anime : 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.
1:15:15ENTim Urban on Writing, Curiosity and AI’s Uncertain FutureInvité : Tim Urban · Anime : Harry StebbingsThe Wait But Why co-founder explains his research and writing process, the trade-offs of growing a media business, and his hopes and fears about AI.
47:19ENVinod Khosla on AI, Healthcare, Energy and Sharing GrowthInvité : Vinod Khosla · Anime : Harry StebbingsThe venture investor discusses possible AI applications, job displacement, climate technology and the challenges of turning predictions into practical systems.
23:20ENRishi Sunak on UK AI Policy, Talent and Education in 2023Invité : Rishi Sunak · Anime : Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
1:06:02ENYann LeCun on Open AI Models, Safety and the Future of ResearchInvité : Yann Lecun · Anime : Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.
58:47ENClem Delangue on Open AI, Model Choices and Building Hugging FaceInvité : Clem Delangue · Anime : Harry StebbingsThe Hugging Face CEO discusses the company’s pivot, open-model economics, legal uncertainty and his approach to fundraising.
4:27:46ENHalf a Million Girls in Wells, and We Still Change the ChannelInvité : Sam Harris · Anime : 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.
3:35:40ENLiv Boeree on Moloch, Useful Fictions, and Why Luck Keeps Poker AliveInvité : Liv Boeree · Anime : 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.
1:09:14ENSuffering Is a State You'd Rather Not Be In — Peter Singer on Animals, Robots, and UsInvité : Peter Singer · Anime : 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.
2:12:36ENAttacks Climb the Stack Until They Land on PeopleInvité : Dawn Song · Anime : 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.
1:39:57ENPeople Say They Want Perfect Robots. They Trust the Ones That Push BackInvité : Ayanna Howard · Anime : Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.
1:48:55ENThree Fairness Rules That Cannot All Be TrueInvité : Michael Kearns · Anime : 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.
1:08:37ENA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkInvité : Ian Goodfellow · Anime : 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.
1:21:56ENWe Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already HereInvité : Eric Weinstein · Anime : 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.
1:06:17ENLibratus Beat the World's Best Poker Players Without a Neural NetworkInvité : Tuomas Sandholm · Anime : 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.









