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2:51:18EN
Zhang Xiaojun Podcast· Oct 15, 2026Podcast · 2 speakersLindon Gao on Building Dyna Robotics and Finding a Path Through the FogGuest Lindon Gao · Host 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.RoboticsProduct StrategyModels & training+2
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No Priors: AI, Machine Learning, Tech, & Startups· Sep 18, 2026Podcast · 2 speakersDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconHost 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.Models & trainingInferenceAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· Oct 9, 2025Podcast · 2 speakersSTaR's Author Wants Models With EQ, Not Just More IQHost 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.Models & trainingPost-trainingReinforcement Learning+3
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3Blue1Brown· Aug 17, 2025How 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
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No Priors: AI, Machine Learning, Tech, & Startups· May 1, 2025Podcast · 2 speakerso3 should wait exactly as long as the answer takesHost 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.Models & trainingReasoning & test-time computeReinforcement Learning+3
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No Priors: AI, Machine Learning, Tech, & Startups· Mar 20, 2025Podcast · 2 speakersRobots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.Host 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.Models & trainingRoboticsData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· Feb 25, 2025Podcast · 2 speakersA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentHost 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.Models & trainingAI for scienceData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· Feb 7, 2025Podcast · 2 speakersThe $5.5 Million Was Only the Last MileHost 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.Models & trainingAI StrategyAI cost & performance+3
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Lex Fridman· Nov 11, 2024Podcast · 2 speakersDario Amodei Has Seen This Scaling Movie Enough TimesGuest Dario Amodei · Host 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.Models & trainingSafety & governanceScaling Laws+3
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No Priors: AI, Machine Learning, Tech, & Startups· Aug 1, 2024Podcast · 2 speakersOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedHost 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.Models & trainingAGI TimelinesPretraining & midtraining+3
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No Priors: AI, Machine Learning, Tech, & Startups· Jun 27, 2024Podcast · 2 speakersFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersHost 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.Models & trainingTransformers & attentionVoice AI+3
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Lex Fridman· Mar 7, 2024Podcast · 2 speakersIf You Want Human-Level AI, Abandon Generative ModelsGuest Yann Lecun · Host 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.Models & trainingWorld modelsAGI+3
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No Priors: AI, Machine Learning, Tech, & Startups· Jan 25, 2024Podcast · 2 speakers99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstHost Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Models & trainingRoboticsFoundation Models+3
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No Priors: AI, Machine Learning, Tech, & Startups· Nov 2, 2023Podcast · 2 speakersReliability is the bottleneck. Autonomy is what would make AI feel alive.Host 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.Models & trainingAGIScaling Laws+3
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No Priors: AI, Machine Learning, Tech, & Startups· Sep 28, 2023Podcast · 2 speakersDNA Is Code, but You Compile It with a PipetteHost 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.Models & trainingAI for scienceBiosecurity+3
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No Priors: AI, Machine Learning, Tech, & Startups· Aug 24, 2023Podcast · 2 speakersThe Author of Attention Is All You Need Now Compiles mRNA Like BytecodeHost 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.Models & trainingAI for scienceTransformers & attention+2
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No Priors: AI, Machine Learning, Tech, & Startups· May 18, 2023Podcast · 2 speakersTen Percent of Search Is Health — and the Doctor Is Googling TooHost 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.Models & trainingAI in healthcareSafety & governance+3
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Lex Fridman· May 9, 2023Podcast · 2 speakersThe Next Token Is Not a Proof: Stephen Wolfram on ChatGPT and Computational TruthGuest Stephen Wolfram · Host 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.Models & trainingPhilosophyAI research+3
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No Priors: AI, Machine Learning, Tech, & Startups· Apr 6, 2023Podcast · 2 speakersA 6-Billion-Parameter Clone of ChatGPT’s Core TrickHost 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.Models & trainingOpen-weight modelsFine-tuning+3
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Lex Fridman· Oct 29, 2022Podcast · 2 speakersKarpathy Calls Trained Neural Nets Complicated Alien ArtifactsGuest Andrej Karpathy · Host 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.Models & trainingAGIAutonomous Driving+3
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Lex Fridman· Jul 26, 2022Podcast · 2 speakersGato Is Only the BeginningGuest Oriol Vinyals · Host Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.Models & trainingAGIAI research+3
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Lex Fridman· Jul 1, 2022Podcast · 2 speakersDemis Hassabis: Solve Intelligence, Then Solve Everything ElseGuest Demis Hassabis · Host 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.Models & trainingAI researchAGI+3
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Lex Fridman· Jan 22, 2022Podcast · 2 speakersA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Guest Yann Lecun · Host 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.Models & trainingWorld modelsComputer Vision+3
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Lex Fridman· Sep 20, 2021Podcast · 2 speakersJay McClelland on How Thought Emerges From Neural NetworksGuest Jay McClelland · Host Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.Models & trainingML fundamentalsDeep Learning+3
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