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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
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 10월 9일팟캐스트 · 2명STaR's Author Wants Models With EQ, Not Just More IQ진행자 Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.모델과 학습Post-trainingReinforcement Learning+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
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
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 3월 20일팟캐스트 · 2명Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.진행자 Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.모델과 학습RoboticsData quality & curation+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 2월 25일팟캐스트 · 2명A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Moment진행자 Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.모델과 학습AI for scienceData quality & curation+3
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 2월 7일팟캐스트 · 2명The $5.5 Million Was Only the Last Mile진행자 Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.모델과 학습AI StrategyAI cost & performance+3
5:15:00EN
Lex Fridman· 2024년 11월 11일팟캐스트 · 2명Dario Amodei Has Seen This Scaling Movie Enough Times게스트 Dario Amodei · 진행자 Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.모델과 학습안전과 거버넌스Scaling Laws+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 1일팟캐스트 · 2명Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered진행자 Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.모델과 학습AGI TimelinesPretraining & midtraining+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
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
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 25일팟캐스트 · 2명99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses First진행자 Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.모델과 학습RoboticsFoundation Models+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
37:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 28일팟캐스트 · 2명DNA Is Code, but You Compile It with a Pipette진행자 Sarah Guo, Elad GilGinkgo Bioworks CEO Jason Kelly tells No Priors why cells are worth the magic, why biology has no AWS, and why a pandemic should look like cybersecurity.모델과 학습AI for scienceBiosecurity+3
35:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 24일팟캐스트 · 2명The Author of Attention Is All You Need Now Compiles mRNA Like Bytecode진행자 Sarah Guo, Elad GilJakob Uszkoreit on why Transformers won, why models spend compute on the wrong things, and why drug discovery has to become generation rather than screening.모델과 학습AI for scienceTransformers & attention+2
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 18일팟캐스트 · 2명Ten Percent of Search Is Health — and the Doctor Is Googling Too진행자 Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.모델과 학습AI in healthcare안전과 거버넌스+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
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 4월 6일팟캐스트 · 2명A 6-Billion-Parameter Clone of ChatGPT’s Core Trick진행자 Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.모델과 학습Open-weight models파인튜닝+3
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
2:10:08EN
Lex Fridman· 2022년 7월 26일팟캐스트 · 2명Gato Is Only the Beginning게스트 Oriol Vinyals · 진행자 Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.모델과 학습AGI(범용 인공지능)AI research+3
2:10:39EN
Lex Fridman· 2022년 7월 1일팟캐스트 · 2명Demis Hassabis: Solve Intelligence, Then Solve Everything Else게스트 Demis Hassabis · 진행자 Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.모델과 학습AI researchAGI(범용 인공지능)+3
2:45:10EN
Lex Fridman· 2022년 1월 22일팟캐스트 · 2명A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.게스트 Yann Lecun · 진행자 Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.모델과 학습World modelsComputer Vision+3
2:31:57EN
Lex Fridman· 2021년 9월 20일팟캐스트 · 2명Jay McClelland on How Thought Emerges From Neural Networks게스트 Jay McClelland · 진행자 Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.모델과 학습머신러닝 기초Deep Learning+3
2:51:33EN
Lex Fridman· 2021년 8월 29일팟캐스트 · 2명The Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's Silence게스트 Wojciech Zaremba · 진행자 Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.모델과 학습코딩 에이전트머신러닝 기초+3
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