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3:02:43EN
Lex Fridman· 2021年1月18日ポッドキャスト · 2 人Humanity Cannot Survive on the Right Person Showing Up at the Right Timeゲスト Max Tegmark · ホスト Lex FridmanMIT physicist Max Tegmark tells Lex Fridman why AI should be as well understood as rockets, why 2020 was a warning on weapons and news, and why luck is a terrible long-term plan.セキュリティと安全性安全性とガバナンスAI research+3
2:17:42EN
Lex Fridman· 2021年1月11日ポッドキャスト · 2 人The building block of life is a bead on a string, not the whole proteinゲスト Dmitry Korkin · ホスト Lex FridmanDmitry Korkin tells Lex Fridman why protein domains, a triangular spike, and a conservative viral shell matter more than the AlphaFold headline, and why a Nobel laureate once answered a midnight forum post.Computational BiologyAI for scienceOrigin of Life+3
2:02:45EN
Lex Fridman· 2020年12月26日ポッドキャストSteal the Code: You Get Zero Points for Making the Algorithm Runホスト Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.機械学習の基礎AI in EducationAI research+3
2:28:11EN
Lex Fridman· 2020年11月1日ポッドキャスト · 2 人People Are Easy to Predict — and They Hate Being Told Soゲスト Charles Isbell · ホスト Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.Human-AI Collaboration機械学習の基礎AI research+3
2:34:20EN
Lex Fridman· 2020年8月30日ポッドキャスト · 2 人Intelligence Is How Efficiently You Acquire Skills You Were Not Prepared Forゲスト François Chollet · ホスト Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.評価とオブザーバビリティBenchmarksAI research+3
2:10:06EN
Lex Fridman· 2020年8月14日ポッドキャスト · 2 人You Might Have to Understand the World to Understand the Letter Aゲスト Dileep George · ホスト Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.モデルと学習Neuroscience & AIWorld models+3
1:41:37EN
Lex Fridman· 2020年7月21日ポッドキャスト · 2 人The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solvedゲスト Jitendra Malik · ホスト Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.モデルと学習画像と動画Autonomous Driving+3
2:00:32EN
Lex Fridman· 2020年7月3日ポッドキャスト · 2 人Slow Synapses Grow Fast Learners — Warmth Is the Harder Problemゲスト Matt Botvinick · ホスト Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.モデルと学習Neuroscience & AIReinforcement Learning+3
45:31EN
Lex Fridman· 2020年7月1日ポッドキャストYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awarenessホスト Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AI機械学習の基礎+3
4:08:58EN
Lex Fridman· 2020年6月22日ポッドキャスト · 2 人The Man Who Named AGI Wants Superintelligence Raised on Compassionゲスト Ben Goertzel · ホスト Lex FridmanLex Fridman talks with Ben Goertzel for four hours about OpenCog, Sophia, SingularityNET, and why a bigger neural net is not a mind.エージェントAGI(汎用人工知能)AI research+3
3:00:18EN
Lex Fridman· 2020年6月13日ポッドキャスト · 2 人Only a Simulation Can Be Consciousゲスト Joscha Bach · ホスト Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.モデルと学習Consciousness & IntelligencePhilosophy of Mind+3
1:29:02EN
Lex Fridman· 2020年5月28日ポッドキャスト · 2 人You Are Your Own Existence Proofゲスト Karl Friston · ホスト Lex FridmanKarl Friston walks Lex Fridman from brain imaging to the free energy principle, arguing that anything which keeps a boundary looks as if it is doing Bayesian inference.Neuroscience & AIBrain-Computer InterfacesPhilosophy of Mind+3
1:37:28EN
Lex Fridman· 2020年5月8日ポッドキャスト · 2 人We Are Still Massively Underestimating Deep Learningゲスト Ilya Sutskever · ホスト Lex FridmanIlya Sutskever tells Lex Fridman why 2012 was about conviction, why bigger models can get worse before they get better, and what he would do with an AGI.モデルと学習Deep Learning機械学習の基礎+3
1:48:01EN
Lex Fridman· 2020年4月3日ポッドキャスト · 2 人David Silver: AlphaGo Won by Taking Human Knowledge Outゲスト David Silver · ホスト Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.モデルと学習Reinforcement LearningDeep Learning+3
12:42EN
Lex Fridman· 2020年3月28日ポッドキャスト · 2 人The Experience Machine: What Our Refusal to Plug In Says About What We Valueゲスト Nick Bostrom · ホスト Lex FridmanNick Bostrom unpacks Robert Nozick's experience machine, the status quo effect behind our answers, and whether a simulation convincing enough to feel real would have to contain real minds.PhilosophyPhilosophy of MindConsciousness & Intelligence+2
1:56:38EN
Lex Fridman· 2020年3月25日ポッドキャスト · 2 人Bostrom Will Not Pick a Fork: The Simulation Argument Is a Disjunction, Not a Betゲスト Nick Bostrom · ホスト Lex FridmanNick Bostrom walks Lex Fridman through the simulation argument, anthropic reasoning, and why superintelligence talk should be split into near-term and long-term conversations.Simulation HypothesisExistential RiskPhilosophy of Mind+3
1:12:48EN
Lex Fridman· 2020年2月29日ポッドキャスト · 2 人John Hopfield's Physics of Mind: Glitches Become Featuresゲスト John Hopfield · ホスト Lex FridmanThe Princeton physicist walks Lex Fridman from a wobbly London bridge to Hopfield networks, consciousness-as-story, and why his famous model still does not explain learning.モデルと学習Neuroscience & AI機械学習の基礎+3
1:39:56EN
Lex Fridman· 2020年2月26日ポッドキャスト · 2 人Why Marcus Hutter Treats Compression as Intelligence Itselfゲスト Marcus Hutter · ホスト Lex FridmanThe DeepMind researcher behind AIXI tells Lex Fridman why a Wikipedia compression contest, Solomonoff induction, and an incomputable formula belong in the same conversation.エージェントAGI(汎用人工知能)AI research+3
1:45:49EN
Lex Fridman· 2020年2月24日ポッドキャスト · 2 人Prediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolutionゲスト Michael I. Jordan · ホスト Lex FridmanThe Berkeley statistician tells Lex Fridman that today's systems are a proto-engineering field, and that the hard work is connecting producers and consumers — not imitating minds.企業と戦略機械学習の基礎Recommendation systems+3
1:44:55EN
Lex Fridman· 2020年2月14日ポッドキャスト · 2 人If You Need 60,000 Digits, You Have Not Found Intelligenceゲスト Vladimir Vapnik · ホスト Lex FridmanVladimir Vapnik tells Lex Fridman that intelligence is the art of shrinking a sea of functions with a few good predicates — and that MNIST, solved with sixty examples per class, is the test.モデルと学習機械学習の基礎AI research+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
1:13:51EN
Lex Fridman· 2020年1月19日ポッドキャストAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stackホスト Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.セキュリティと安全性Privacy & data governanceOpen-source ecosystems+3
1:18:41EN
Lex Fridman· 2020年1月14日ポッドキャスト · 2 人The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Usゲスト Daniel Kahneman · ホスト Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.機械学習の基礎Deep LearningHuman-AI Collaboration+3
1:52:40EN
Lex Fridman· 2019年12月28日ポッドキャスト · 2 人Without Analogies, There Can Be No Conceptsゲスト Melanie Mitchell · ホスト Lex FridmanMelanie Mitchell talks with Lex Fridman about why analogy sits at the core of thought, why scaled-up learning still fails at common sense, and why she thinks human-level AI is more than a century away.Deep Learning CritiqueAGI TimelinesAI History+3