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Zhang Xiaojun Podcast· 15 oct. 2026Podcast · 2 voixLindon Gao on Building Dyna Robotics and Finding a Path Through the FogInvité : Lindon Gao · Anime : 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 StrategyModèles et entraînement+2
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No Priors: AI, Machine Learning, Tech, & Startups· 18 sept. 2026Podcast · 2 voixDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconAnime : 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.Modèles et entraînementInferenceAI cost & performance+3
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Zhang Xiaojun Podcast· 28 juil. 2026Podcast · 2 voixYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure CompanyInvité : You Kaichao · Anime : 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.Company BuildingAI startups & small teamsAI research+2
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Zhang Xiaojun Podcast· 16 juil. 2026Podcast · 2 voixKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsInvité : Kay Ke · Anime : 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.RoboticsReinforcement LearningAI research+2
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No Priors: AI, Machine Learning, Tech, & Startups· 9 oct. 2025Podcast · 2 voixSTaR's Author Wants Models With EQ, Not Just More IQAnime : 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.Modèles et entraînementPost-trainingReinforcement Learning+3
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3Blue1Brown· 17 août 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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MBMatthew Berman· 3 juil. 2025A Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.Modèles et entraînementScaling Laws
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No Priors: AI, Machine Learning, Tech, & Startups· 1 mai 2025Podcast · 2 voixo3 should wait exactly as long as the answer takesAnime : 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.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
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No Priors: AI, Machine Learning, Tech, & Startups· 20 mars 2025Podcast · 2 voixRobots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.Anime : 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.Modèles et entraînementRoboticsData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· 25 févr. 2025Podcast · 2 voixA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentAnime : 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.Modèles et entraînementAI for scienceData quality & curation+3
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Zhang Xiaojun Podcast· 24 févr. 2025Podcast · 2 voix松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Invité : Songlin Yang(松琳) · Anime : 张小珺从动态稀疏注意力到线性注意力混合架构:三条长上下文路线如何兼顾训练、推理与硬件效率Transformers & attentionGPU programming & kernelsModèles et entraînement+2
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No Priors: AI, Machine Learning, Tech, & Startups· 7 févr. 2025Podcast · 2 voixThe $5.5 Million Was Only the Last MileAnime : 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.Modèles et entraînementAI StrategyAI cost & performance+3
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Zhang Xiaojun Podcast· 4 févr. 2025Podcast · 2 voix潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理Invité : 潘嘉怡 · Anime : 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告,拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。Reinforcement LearningModèles et entraînementAI research+2
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Zhang Xiaojun Podcast· 29 déc. 2024Podcast · 2 voix李想:汽车将从交通工具进化为空间机器人Invité : 李想 · Anime : 张小珺理想汽车 CEO 李想谈公司为何从造车走向人工智能:基座模型是 AI 时代的操作系统,汽车是进入物理世界的重要载体。对他而言,技术路线最终要落实为更好的用户体验、能力与长期价值。AI StrategyProduct StrategyAutonomous Driving+2
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Lex Fridman· 11 nov. 2024Podcast · 2 voixDario Amodei Has Seen This Scaling Movie Enough TimesInvité : Dario Amodei · Anime : 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.Modèles et entraînementSécurité et gouvernanceScaling Laws+3
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Zhang Xiaojun Podcast· 17 août 2024Podcast · 2 voix广密复盘全球大模型这一年:Scaling Law、AGI 豪赌与中美格局Invité : 李广密 · Anime : 张小珺拾象创始人李广密从硅谷一线观察出发,回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为,模型能力与成本共同决定新一轮应用爆发,而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。Modèles et entraînementScaling LawsAI research+2
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No Priors: AI, Machine Learning, Tech, & Startups· 1 août 2024Podcast · 2 voixOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedAnime : 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.Modèles et entraînementAGI TimelinesPretraining & midtraining+3
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No Priors: AI, Machine Learning, Tech, & Startups· 27 juin 2024Podcast · 2 voixFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersAnime : 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.Modèles et entraînementTransformers & attentionIA vocale+3
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Lex Fridman· 7 mars 2024Podcast · 2 voixIf You Want Human-Level AI, Abandon Generative ModelsInvité : Yann Lecun · Anime : 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.Modèles et entraînementWorld modelsAGI+3
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No Priors: AI, Machine Learning, Tech, & Startups· 25 janv. 2024Podcast · 2 voix99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstAnime : Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Modèles et entraînementRoboticsFoundation Models+3
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No Priors: AI, Machine Learning, Tech, & Startups· 2 nov. 2023Podcast · 2 voixReliability is the bottleneck. Autonomy is what would make AI feel alive.Anime : 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.Modèles et entraînementAGIScaling Laws+3
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No Priors: AI, Machine Learning, Tech, & Startups· 28 sept. 2023Podcast · 2 voixDNA Is Code, but You Compile It with a PipetteAnime : 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.Modèles et entraînementAI for scienceBiosecurity+3
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No Priors: AI, Machine Learning, Tech, & Startups· 24 août 2023Podcast · 2 voixThe Author of Attention Is All You Need Now Compiles mRNA Like BytecodeAnime : 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.Modèles et entraînementAI for scienceTransformers & attention+2
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No Priors: AI, Machine Learning, Tech, & Startups· 18 mai 2023Podcast · 2 voixTen Percent of Search Is Health — and the Doctor Is Googling TooAnime : 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.Modèles et entraînementAI in healthcareSécurité et gouvernance+3
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