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13:34ENSam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.
14:55EN
Lex Fridman· Oct 29, 2019Podcast · 2 speakersKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the QuestionsGuest Garry Kasparov · Host Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
11:11ENLex FridmanPodcast · 2 speakersYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not GeneralGuest Yann Lecun · Host Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.
11:41ENLex FridmanPodcast · 2 speakersTeaching Machines Humility: Stuart Russell on Escaping the King Midas ProblemGuest Stuart Russell · Host Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.
10:17ENLex FridmanPodcastNeither Saints Nor Sinners: Ben Goertzel on the Selfish and Altruistic Human MixHost Lex FridmanAI researcher Ben Goertzel explains why humans are a blend of selfishness and altruism, and how much culture can shift that balance.
11:23ENLex FridmanPodcast · 2 speakersScience Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence ExplosionGuest François Chollet · Host Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.