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38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月18日ポッドキャスト · 2 人Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Siliconホスト Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.モデルと学習InferenceAI cost & performance+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日ポッドキャスト · 2 人The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Modelsホスト Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.評価とオブザーバビリティ評価(Evals)Benchmarks+3
スライド 4 枚13:30EN
3Blue1Brown· 2025年8月17日How AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.MathematicsReasoning & test-time computeAI research+2
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月26日ポッドキャスト · 2 人AlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%ホスト Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.コーディングエージェントエージェント工学評価(Evals)+3
3:14:34EN
Lex Fridman· 2025年6月14日ポッドキャスト · 2 人If ten things make a problem hard, Terence Tao turns nine of them offゲスト Terence Tao · ホスト Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.MathematicsAI for scienceAI research+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月1日ポッドキャスト · 2 人o3 should wait exactly as long as the answer takesホスト Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.モデルと学習Reasoning & test-time computeReinforcement Learning+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日ポッドキャスト · 2 人Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformersホスト Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.モデルと学習Transformers & attention音声 AI+3
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
2:15:39EN
Lex Fridman· 2024年6月2日ポッドキャスト · 2 人Roman Yampolskiy Puts Superintelligent Ruin at 99.99 Percentゲスト Roman Yampolskiy · ホスト Lex FridmanThe AI safety researcher tells Lex Fridman that controlling AGI is as impossible as a perpetual motion machine, and that tests, open source, and regulation cannot close the gap.セキュリティと安全性安全性とガバナンスExistential Risk+3
2:50:44EN
Lex Fridman· 2024年4月17日ポッドキャスト · 2 人The Pirahã Have No Word for Oneゲスト Edward Gibson · ホスト Lex FridmanMIT psycholinguist Ted Gibson tells Lex Fridman why related words sit together, why language is not thought, and why large language models ace form while missing meaning.Neuroscience & AIAI researchPhilosophy of Mind+1
2:47:17EN
Lex Fridman· 2024年3月7日ポッドキャスト · 2 人If You Want Human-Level AI, Abandon Generative Modelsゲスト Yann Lecun · ホスト Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.モデルと学習World modelsAGI(汎用人工知能)+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月2日ポッドキャスト · 2 人Reliability is the bottleneck. Autonomy is what would make AI feel alive.ホスト Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.モデルと学習AGI(汎用人工知能)Scaling Laws+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年7月20日ポッドキャスト · 2 人Why AI Video Is Still a Four-Second Corgiホスト Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.マルチモーダルとメディアGenerative media画像と動画+3
3:11:35EN
Lex Fridman· 2023年6月21日ポッドキャスト · 2 人Search was always a hack: Marc Andreessen on AI, truth, and the next internetゲスト Marc Andreessen · ホスト Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.企業と戦略Search & retrievalSynthetic data+3
2:07:04EN
Lex Fridman· 2023年5月28日ポッドキャスト · 2 人The Ribosome Already Solved Digital Manufacturingゲスト Neil Gershenfeld · ホスト Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.オープンソースとコミュニティRoboticsAI research+3
4:14:33EN
Lex Fridman· 2023年5月9日ポッドキャスト · 2 人The Next Token Is Not a Proof: Stephen Wolfram on ChatGPT and Computational Truthゲスト Stephen Wolfram · ホスト Lex FridmanIn his fourth conversation with Lex Fridman, Stephen Wolfram contrasts large language models with Wolfram|Alpha, then follows computational irreducibility from ChatGPT through observers, thermodynamics, and the three great theories of twentieth-century physics.モデルと学習PhilosophyAI research+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月4日ポッドキャスト · 2 人Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.ホスト Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG とナレッジ検索拡張生成(RAG)ファインチューニング+3
2:27:58EN
Lex Fridman· 2023年4月28日ポッドキャスト · 2 人It took Atlas fourteen years to walk the way Playter wantedゲスト Robert Playter · ホスト Lex FridmanBoston Dynamics CEO Robert Playter traces thirty years from a MIT basement pogo stick to Atlas, Spot, and Stretch — and why the company still designs machines that are allowed to fall.RoboticsAutonomous SystemsAI research+3
2:30:28EN
Lex Fridman· 2023年4月21日ポッドキャスト · 2 人AI Only Has a Neocortex: Manolis Kellis on Evolutionary Baggage and Superintelligent Partnersゲスト Manolis Kellis · ホスト Lex FridmanOn his fifth Lex Fridman podcast, the MIT computational biologist argues that layered evolutionary history is what makes humans irreplaceable — and that alignment with AI has to run both ways.PhilosophyAGI(汎用人工知能)Model Interpretability+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月9日ポッドキャスト · 2 人30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsホスト Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.評価とオブザーバビリティAI researchFoundation Models+3
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月2日ポッドキャスト · 2 人Forty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonホスト Sarah Guo, Elad GilMeta’s Noam Brown tells Sarah Guo and Elad Gil how Cicero negotiated in English for 40 games on a tiny web community — and why thinking at decision time beat three years of scaling.エージェントAI researchReasoning & test-time compute+3
2:29:21EN
Lex Fridman· 2022年12月6日ポッドキャスト · 2 人The Poker Bot That Never Tried to Read a Soulゲスト Noam Brown · ホスト Lex FridmanNoam Brown tells Lex Fridman how a Nash-equilibrium bot crushed heads-up no-limit Hold'em, how Pluribus did it six-handed, and why Diplomacy required an AI that could earn human trust.エージェントReinforcement LearningMulti-agent systems+1
3:28:47EN
Lex Fridman· 2022年10月29日ポッドキャスト · 2 人Karpathy Calls Trained Neural Nets Complicated Alien Artifactsゲスト Andrej Karpathy · ホスト Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.モデルと学習AGI(汎用人工知能)Autonomous Driving+3
3:00:21EN
Lex Fridman· 2022年10月1日ポッドキャスト · 2 人Cut Off a Planarian's Head. The New Brain Still Remembersゲスト Michael Levin · ホスト Lex FridmanMichael Levin argues that DNA only builds hardware, bioelectric networks store body plans, and frog skin cells can become robots that evolution never designed.AI researchRoboticsPhilosophy+3
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