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2 张幻灯片16:06EN → 简体中文
MBMatthew Berman· 2024年8月9日Q* 与 Strawberry:2024 年 8 月已知信息和推测Matthew Berman · Forward Future在底层项目尚未披露时,Matthew Berman 回顾当时的传闻,以及有关推理、搜索和自我对弈的研究概念。模型与训练AI research通用人工智能
3 张幻灯片16:06EN → 简体中文
MBMatthew Berman· 2024年6月18日AI 新闻:视频生成、Apple Intelligence、机器人与 DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman 回顾一周的发布与研究,从 Luma、Runway 到 NVIDIA、机器人和编程模型。Generative mediaRoboticsOpen-weight models+1
26:02EN
Lex Fridman· 2020年2月9日播客Moore’s Law Is Not Dead—It Is a Cascade of S-Curves主持 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.基础设施与部署SemiconductorsScaling Laws+3
18:46EN
Lex Fridman播客Deep Learning Plus One Idea: Ilya Sutskever on Building AGI主持 Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.模型与训练通用人工智能Reinforcement Learning+3
22:59EN
Lex Fridman播客Penrose on Why Consciousness Can't Be a Computation主持 Lex FridmanRoger Penrose explains how a dissatisfaction with AI optimism, a tip about microtubules and a rethink of quantum mechanics led him to Orch OR.Philosophy of MindConsciousness & IntelligenceAI research+3
17:40EN
Lex Fridman播客From AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AI主持 Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.模型与训练Reinforcement LearningAI research+3
16:41EN
Lex Fridman播客AlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and Biology主持 Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.模型与训练AI for scienceDeep Learning+2
20:36EN
Lex Fridman播客Why 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.模型与训练机器学习基础AI research+3
20:50EN
Lex Fridman播客Glitches as Features: What John Hopfield Says Artificial Neural Networks Are Missing主持 Lex FridmanIn a short conversation with Lex Fridman, physicist and neural-network pioneer John Hopfield compares evolved brains with today's artificial networks and explains why he expects AI to borrow from biology generation after generation.模型与训练Neuroscience & AI机器学习基础+3
26:51EN
Lex Fridman播客A 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.多模态与媒体通用人工智能Robotics+3