最近更新的频道

点选即可只看该频道浏览全部频道 →

筛选结果

13 篇
排序
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 → 简体中文
No Priors: AI, Machine Learning, Tech, & Startups· 2026年1月8日播客 · 2 人对谈黄仁勋的年终论证:Token 成本可以降低十亿倍,工作岗位也不会因此消失主持 Sarah Guo, Elad Gil在 No Priors 节目里,英伟达 CEO 借放射科、开源和 2 万亿美元的研发预算,论证 2025 年那些极端说法都没有看到完整的技术栈。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 → 简体中文
No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月14日播客 · 2 人对谈菲尔兹奖得主卡了两小时,AlphaProof 爬了三天主持 Sarah Guo, Elad GilAlphaProof 背后的 DeepMind 团队告诉 Sarah Guo 和 Elad Gil,类似 AlphaZero 的智能体(Agent)、Lean 验证器和测试时强化学习(test-time reinforcement learning),如何达到国际数学奥林匹克(IMO)银牌水平,以及眼下仍然缺的是理论构建能力。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 → 简体中文
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月2日播客 · 2 人对谈连下 40 局《外交》(Diplomacy),没人发现对手是机器人:Noam Brown 的 10 万倍教训主持 Sarah Guo, Elad GilMeta 的 Noam Brown 讲述 Cicero 如何在一个小型网络社区里用英文谈判、连下 40 局,以及为什么决策时的思考,胜过了三年的规模化训练。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