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36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日播客 · 2 人对谈The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models主持 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.评估与可观测性评估Benchmarks+3
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年1月8日播客 · 2 人对谈Jensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing Jobs主持 Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.企业与战略Reasoning & test-time computeAI cost & performance+3
18:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年10月31日播客 · 2 人对谈86 Out of 100: The Clips No Priors Could Not Leave on the Cutting-Room Floor主持 Sarah Guo, Elad GilSarah Guo and Elad Gil stitch nine 2025 conversations into one short tour of legal AI, spatial intelligence, jobs, deterrence, and a doctor who made it home for dinner.企业与战略AI StrategyCompany Building+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
39:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月14日播客 · 2 人对谈A Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.主持 Sarah Guo, Elad GilThe DeepMind team behind AlphaProof tells Sarah Guo and Elad Gil how an AlphaZero-style agent, a Lean verifier, and test-time reinforcement learning reached IMO silver — and why the missing skill is still theory building.智能体Reinforcement LearningReasoning & test-time compute+1
29:29EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月17日播客 · 2 人对谈The Week AI Won Its First Nobels, Two Investors Listed Who Is Most at Risk主持 Sarah Guo, Elad GilSarah Guo and Elad Gil talk NotebookLM, intelligent NPCs, artificial wombs, OpenAI’s o1, and which businesses look AI-durable.企业与战略AI StrategyProduct Strategy+3
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月2日播客 · 2 人对谈Forty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lesson主持 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.智能体AI researchReasoning & test-time compute+3
1:26:21EN → 简体中文
Lex Fridman· 2018年12月9日播客 · 2 人对谈机器绝不该把自己的目标奉为圭臬嘉宾 Stuart Russell · 主持 Lex FridmanStuart Russell 与 Lex Fridman 谈元推理(metareasoning)、自动驾驶的可靠性,以及为什么对人类目标的不确定性是控制问题(control problem)的核心。安全安全与治理Autonomous Driving+3
15:01EN
Lex Fridman播客 · 2 人对谈Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks嘉宾 Daniel Kahneman · 主持 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.模型与训练Deep LearningAI research+3
10:16EN
Lex Fridman播客 · 2 人对谈Reasoning Without Logic: Yann LeCun on Teaching Neural Networks to Think嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.模型与训练机器学习基础Deep Learning+3
10:34EN
Lex Fridman播客 · 2 人对谈Why Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AI嘉宾 François Chollet · 主持 Lex FridmanFrançois Chollet explains why neural networks only interpolate between points they have seen, and why the best AI systems pair them with symbolic rules.模型与训练机器学习基础Deep Learning+2