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15 件
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スライド 4 枚15:34EN
MBMatthew Berman· 2025年1月6日Sam Altman on AGI and Superintelligence: A 2025 DiscussionMatthew Berman, Ray Kurzweil, Lex Fridman · Forward FutureMatthew Berman examines Altman’s statements about AGI, the singularity and possible AI-driven scientific progress.AGI(汎用人工知能)AI SafetyAI research+1
スライド 3 枚16:06EN
MBMatthew Berman· 2024年6月18日AI News: Video Generation, Apple Intelligence, Robotics and DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman reviews a week of launches and research, from Luma and Runway to NVIDIA, robotics and coding models.Generative mediaRoboticsOpen-weight models+1
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月11日ポッドキャスト · 2 人Why a Zapier founder thinks AGI research has been stalled for four yearsホスト Sarah Guo, Elad GilMike Knoop and François Chollet put more than a million dollars on beating ARC-AGI, the eval they say actually measures general intelligence.評価とオブザーバビリティAGI(汎用人工知能)Benchmarks+3
26:02EN
Lex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.インフラとデプロイSemiconductorsScaling Laws+3
20:34EN
Lex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG とナレッジAI researchAGI(汎用人工知能)+3
15:01EN
Lex Fridmanポッドキャスト · 2 人Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacksゲスト Daniel Kahneman · ホスト Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.モデルと学習Deep LearningAI research+3
18:46EN
Lex FridmanポッドキャストDeep Learning Plus One Idea: Ilya Sutskever on Building AGIホスト 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.モデルと学習AGI(汎用人工知能)Reinforcement Learning+3
22:59EN
Lex FridmanポッドキャストPenrose on Why Consciousness Can't Be a Computationホスト 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ポッドキャストFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AIホスト 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.モデルと学習Reinforcement LearningAI research+3
16:41EN
Lex FridmanポッドキャストAlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and Biologyホスト 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.モデルと学習AI for scienceDeep Learning+2
24:08EN
Lex Fridmanポッドキャスト · 2 人Intelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaningゲスト David Ferrucci · ホスト Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.PhilosophyAI researchAGI(汎用人工知能)+2
23:11EN
Lex Fridmanポッドキャスト · 2 人Nick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Riskゲスト Nick Bostrom · ホスト Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.セキュリティと安全性Existential RiskAGI(汎用人工知能)+3
20:36EN
Lex FridmanポッドキャストWhy Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexityホスト Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.モデルと学習機械学習の基礎AI research+3
20:50EN
Lex FridmanポッドキャストGlitches as Features: What John Hopfield Says Artificial Neural Networks Are Missingホスト 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.モデルと学習Neuroscience & AI機械学習の基礎+3
26:51EN
Lex FridmanポッドキャストA Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Isホスト 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.マルチモーダルとメディアAGI(汎用人工知能)Robotics+3