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38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月18日播客 · 2 人对谈Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon主持 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.模型与训练InferenceAI cost & performance+3
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年10月9日播客 · 2 人对谈STaR's Author Wants Models With EQ, Not Just More IQ主持 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.模型与训练Post-trainingReinforcement Learning+3
4 张幻灯片13:30EN → 简体中文
3Blue1Brown· 2025年8月17日AlphaGeometry 如何结合逻辑证明与创造性作图Aleph0Aleph0 讲解了符号几何求解器如何在不使用 AI 的情况下解决大量难题,以及语言模型如何提供辅助作图,让系统达到奥数竞赛水平。MathematicsReasoning & test-time computeAI research+2
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月1日播客 · 2 人对谈o3 should wait exactly as long as the answer takes主持 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.模型与训练Reasoning & test-time computeReinforcement Learning+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月20日播客 · 2 人对谈Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.主持 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.模型与训练RoboticsData quality & curation+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月25日播客 · 2 人对谈A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Moment主持 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.模型与训练AI for scienceData quality & curation+3
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月7日播客 · 2 人对谈The $5.5 Million Was Only the Last Mile主持 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.模型与训练AI StrategyAI cost & performance+3
5:15:00EN → 简体中文
Lex Fridman· 2024年11月11日播客 · 2 人对谈Dario Amodei:这部规模化电影他已经看过太多遍嘉宾 Dario Amodei · 主持 Lex FridmanAnthropic 首席执行官给前沿模型的训练成本和 AGI 算了账,随后把话筒交给塑造 Claude 性格、并研究其权重内部结构的人。模型与训练安全与治理Scaling Laws+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日播客 · 2 人对谈Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered主持 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.模型与训练AGI TimelinesPretraining & midtraining+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日播客 · 2 人对谈Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformers主持 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.模型与训练Transformers & attention语音 AI+3
2:47:17EN
Lex Fridman· 2024年3月7日播客 · 2 人对谈If You Want Human-Level AI, Abandon Generative Models嘉宾 Yann Lecun · 主持 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.模型与训练World models通用人工智能+3
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月25日播客 · 2 人对谈99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses First主持 Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.模型与训练RoboticsFoundation Models+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月2日播客 · 2 人对谈Reliability is the bottleneck. Autonomy is what would make AI feel alive.主持 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.模型与训练通用人工智能Scaling Laws+3
37:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月28日播客 · 2 人对谈DNA Is Code, but You Compile It with a Pipette主持 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.模型与训练AI for scienceBiosecurity+3
35:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月24日播客 · 2 人对谈The Author of Attention Is All You Need Now Compiles mRNA Like Bytecode主持 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.模型与训练AI for scienceTransformers & attention+2
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月18日播客 · 2 人对谈Ten Percent of Search Is Health — and the Doctor Is Googling Too主持 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.模型与训练AI in healthcare安全与治理+3
4:14:33EN → 简体中文
Lex Fridman· 2023年5月9日播客 · 2 人对谈下一个 Token 算不上证明:Stephen Wolfram 谈 ChatGPT 与计算性真理嘉宾 Stephen Wolfram · 主持 Lex Fridman这是 Stephen Wolfram 第四次与 Lex Fridman 对谈。他先把大语言模型与 Wolfram|Alpha 作对比,然后沿着计算不可约性的思路,从 ChatGPT 讲到观察者、热力学,以及二十世纪物理学的三大理论。模型与训练PhilosophyAI research+3
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年4月6日播客 · 2 人对谈A 6-Billion-Parameter Clone of ChatGPT’s Core Trick主持 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.模型与训练Open-weight models微调+3
3:28:47EN
Lex Fridman· 2022年10月29日播客 · 2 人对谈Karpathy Calls Trained Neural Nets Complicated Alien Artifacts嘉宾 Andrej Karpathy · 主持 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.模型与训练通用人工智能Autonomous Driving+3
2:10:08EN
Lex Fridman· 2022年7月26日播客 · 2 人对谈Gato Is Only the Beginning嘉宾 Oriol Vinyals · 主持 Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.模型与训练通用人工智能AI research+3
2:10:39EN → 简体中文
Lex Fridman· 2022年7月1日播客 · 2 人对谈Demis Hassabis:先解决智能,再解决其他一切嘉宾 Demis Hassabis · 主持 Lex FridmanDeepMind 首席执行官告诉 Lex Fridman:图灵测试为什么是一份出错的考卷,AlphaFold 如何改写了生物学,以及射电天空的寂静为何暗示我们或许是孤独的。模型与训练AI research通用人工智能+3
2:45:10EN → 简体中文
Lex Fridman· 2022年1月22日播客 · 2 人对谈青少年二十小时学会开车,汽车却还学不会嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun 在 Lex Fridman 的播客里讲明白:自监督世界模型(self-supervised world models)为什么是智能缺失的“暗物质”,以及机器为什么还没到家猫的水平。模型与训练World modelsComputer Vision+3
2:31:57EN → 简体中文
Lex Fridman· 2021年9月20日播客 · 2 人对谈Jay McClelland 谈思维如何从神经网络中涌现嘉宾 Jay McClelland · 主持 Lex Fridman这位斯坦福大学的认知科学家,与 Lex Fridman 聊了联结主义(connectionism)、反向传播(backpropagation)、David Rumelhart,以及为什么直觉会先发现某些东西,之后逻辑才去证明它。模型与训练机器学习基础Deep Learning+3
2:51:33EN
Lex Fridman· 2021年8月29日播客 · 2 人对谈The Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's Silence嘉宾 Wojciech Zaremba · 主持 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.模型与训练编程智能体机器学习基础+3
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