筛选结果
165 篇排序
20:36ENWhy Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexity主持 Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.
2:18:07ENGambling on Trump for the AI Era: Nathan Labenz and Samuel Hammond Argue the Stakes主持 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 → 简体中文现在是 AI 的 1997 年:Benedict Evans 为什么说它很大,但只和互联网一样大主持 Lenny Rachitsky独立分析师 Benedict Evans 解释为什么他认为 AI 和互联网、移动一样大、不会更大,以及这对工作、模型公司、分发和舆论反弹意味着什么。
52:28ENRay Kurzweil on Hierarchies, the Neocortex and Merging with AI嘉宾 Ray Kurzweil · 主持 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.
2:03:00ENBan Superintelligence or Build the Rules as We Go? Max Tegmark and Dean Ball Clash Over a Precautionary AI Regime主持 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.
1:00:15ENCircuit Search, Hindsight and Self-Play: Ilya Sutskever's Case for Where Learning Is Going嘉宾 Ilya Sutskever · 主持 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.
10:17ENNeither Saints Nor Sinners: Ben Goertzel on the Selfish and Altruistic Human Mix主持 Lex FridmanAI researcher Ben Goertzel explains why humans are a blend of selfishness and altruism, and how much culture can shift that balance.
1:35:09ENReverse-Engineering the Child: Josh Tenenbaum's Case for Human-Like AI嘉宾 MIT AGI · 主持 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.
26:51ENA Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Is主持 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.
11:23ENScience Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence Explosion嘉宾 François Chollet · 主持 Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.
51:18ENEngineering Intelligence: Lex Fridman's Opening Lecture for MIT's AGI Course嘉宾 MIT AGI · 主持 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.









