필터 결과
165개정렬
20:36EN
Lex Fridman팟캐스트Why Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexity진행자 Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.
2:18:07EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Gambling on Trump for the AI Era: Nathan Labenz and Samuel Hammond Argue the Stakes진행자 Nathan LabenzA long, good-natured debate over whether Trump's high-variance, ideas-driven coalition or a stable incrementalist Democratic establishment is the better bet for governing AI, China policy and a possible intelligence explosion.
1:19:50EN
Lenny's Podcast팟캐스트It's 1997 for AI: Benedict Evans on Why It's a Huge Deal, but Only as Big as the Internet진행자 Lenny RachitskyAnalyst Benedict Evans explains why he thinks AI is as big as the internet or mobile and no bigger, and what that means for jobs, model companies, distribution and the backlash.
52:28ENLex Fridman팟캐스트 · 2명Ray Kurzweil on Hierarchies, the Neocortex and Merging with AI게스트 Ray Kurzweil · 진행자 Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.
2:03:00ENCognitive Revolution "How AI Changes Everything"팟캐스트Ban Superintelligence or Build the Rules as We Go? Max Tegmark and Dean Ball Clash Over a Precautionary AI Regime진행자 Nathan LabenzIn a Doom Debates crossover, the Future of Life Institute's Max Tegmark and former White House adviser Dean Ball argue over whether superintelligence should be prohibited until it is provably controllable.
1:00:15ENLex Fridman팟캐스트 · 2명Circuit Search, Hindsight and Self-Play: Ilya Sutskever's Case for Where Learning Is Going게스트 Ilya Sutskever · 진행자 Lex FridmanIn an MIT AGI lecture, OpenAI's co-founder explains why deep learning works, then walks through meta-learning, hindsight experience replay, sim-to-real transfer, self-play and learning goals from human feedback.
10:17ENLex Fridman팟캐스트Neither Saints Nor Sinners: Ben Goertzel on the Selfish and Altruistic Human Mix진행자 Lex FridmanAI researcher Ben Goertzel explains why humans are a blend of selfishness and altruism, and how much culture can shift that balance.
1:35:09ENLex Fridman팟캐스트 · 2명Reverse-Engineering the Child: Josh Tenenbaum's Case for Human-Like AI게스트 MIT AGI · 진행자 Lex FridmanMIT cognitive scientist Josh Tenenbaum argues that real machine intelligence needs models of the world, built by studying how babies think and learn, not just better pattern recognition.
26:51ENLex Fridman팟캐스트A Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Is진행자 Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.
11:23ENLex Fridman팟캐스트 · 2명Science Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence Explosion게스트 François Chollet · 진행자 Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.
51:18ENLex Fridman팟캐스트 · 2명Engineering Intelligence: Lex Fridman's Opening Lecture for MIT's AGI Course게스트 MIT AGI · 진행자 Lex FridmanLex Fridman lays out an engineering-first approach to artificial general intelligence, previews the course's projects and guest speakers, and frames deep learning's limits.