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38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 18일팟캐스트 · 2명Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon진행자 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.모델과 학습InferenceAI cost & performance+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 6월 26일팟캐스트 · 2명The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models진행자 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.평가와 관측 가능성평가(Evals)Benchmarks+3
슬라이드 4장13:30EN
3Blue1Brown· 2025년 8월 17일How 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· 2025년 6월 26일팟캐스트 · 2명AlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%진행자 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.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
3:14:34EN
Lex Fridman· 2025년 6월 14일팟캐스트 · 2명If ten things make a problem hard, Terence Tao turns nine of them off게스트 Terence Tao · 진행자 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· 2025년 5월 1일팟캐스트 · 2명o3 should wait exactly as long as the answer takes진행자 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.모델과 학습Reasoning & test-time computeReinforcement Learning+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 6월 27일팟캐스트 · 2명Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformers진행자 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.모델과 학습Transformers & attention음성 AI+3
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 6월 11일팟캐스트 · 2명Why a Zapier founder thinks AGI research has been stalled for four years진행자 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.평가와 관측 가능성AGI(범용 인공지능)Benchmarks+3
2:15:39EN
Lex Fridman· 2024년 6월 2일팟캐스트 · 2명Roman Yampolskiy Puts Superintelligent Ruin at 99.99 Percent게스트 Roman Yampolskiy · 진행자 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.보안과 안전안전과 거버넌스Existential Risk+3
2:50:44EN
Lex Fridman· 2024년 4월 17일팟캐스트 · 2명The Pirahã Have No Word for One게스트 Edward Gibson · 진행자 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· 2024년 3월 7일팟캐스트 · 2명If You Want Human-Level AI, Abandon Generative Models게스트 Yann Lecun · 진행자 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.모델과 학습World modelsAGI(범용 인공지능)+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 11월 2일팟캐스트 · 2명Reliability is the bottleneck. Autonomy is what would make AI feel alive.진행자 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.모델과 학습AGI(범용 인공지능)Scaling Laws+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 7월 20일팟캐스트 · 2명Why AI Video Is Still a Four-Second Corgi진행자 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.멀티모달과 미디어Generative media비전과 영상+3
3:11:35EN
Lex Fridman· 2023년 6월 21일팟캐스트 · 2명Search was always a hack: Marc Andreessen on AI, truth, and the next internet게스트 Marc Andreessen · 진행자 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.기업과 전략Search & retrievalSynthetic data+3
2:07:04EN
Lex Fridman· 2023년 5월 28일팟캐스트 · 2명The Ribosome Already Solved Digital Manufacturing게스트 Neil Gershenfeld · 진행자 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.오픈소스와 커뮤니티RoboticsAI research+3
4:14:33EN
Lex Fridman· 2023년 5월 9일팟캐스트 · 2명The Next Token Is Not a Proof: Stephen Wolfram on ChatGPT and Computational Truth게스트 Stephen Wolfram · 진행자 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.모델과 학습PhilosophyAI research+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 4일팟캐스트 · 2명Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.진행자 Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG와 지식검색 증강 생성(RAG)파인튜닝+3
2:27:58EN
Lex Fridman· 2023년 4월 28일팟캐스트 · 2명It took Atlas fourteen years to walk the way Playter wanted게스트 Robert Playter · 진행자 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· 2023년 4월 21일팟캐스트 · 2명AI Only Has a Neocortex: Manolis Kellis on Evolutionary Baggage and Superintelligent Partners게스트 Manolis Kellis · 진행자 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(범용 인공지능)Model Interpretability+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 9일팟캐스트 · 2명30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language models진행자 Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.평가와 관측 가능성AI researchFoundation Models+3
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 2일팟캐스트 · 2명Forty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lesson진행자 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.에이전트AI researchReasoning & test-time compute+3
2:29:21EN
Lex Fridman· 2022년 12월 6일팟캐스트 · 2명The Poker Bot That Never Tried to Read a Soul게스트 Noam Brown · 진행자 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.에이전트Reinforcement LearningMulti-agent systems+1
3:28:47EN
Lex Fridman· 2022년 10월 29일팟캐스트 · 2명Karpathy Calls Trained Neural Nets Complicated Alien Artifacts게스트 Andrej Karpathy · 진행자 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.모델과 학습AGI(범용 인공지능)Autonomous Driving+3
3:00:21EN
Lex Fridman· 2022년 10월 1일팟캐스트 · 2명Cut Off a Planarian's Head. The New Brain Still Remembers게스트 Michael Levin · 진행자 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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