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36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2026Pódcast · 2 vocesThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsPresenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 ene 2026Pódcast · 2 vocesJensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing JobsPresenta: 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.Empresa y estrategiaReasoning & test-time computeAI cost & performance+3
18:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 31 oct 2025Pódcast · 2 voces86 Out of 100: The Clips No Priors Could Not Leave on the Cutting-Room FloorPresenta: 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.Empresa y estrategiaAI StrategyCompany Building+3
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2025Pódcast · 2 vocesSTaR's Author Wants Models With EQ, Not Just More IQPresenta: 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.Modelos y entrenamientoPost-trainingReinforcement Learning+3
4 diapositivas13:30EN
3Blue1Brown· 17 ago 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
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 1 may 2025Pódcast · 2 voceso3 should wait exactly as long as the answer takesPresenta: 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.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
39:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 nov 2024Pódcast · 2 vocesA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Presenta: 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.AgentesReinforcement LearningReasoning & test-time compute+1
29:29EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 oct 2024Pódcast · 2 vocesThe Week AI Won Its First Nobels, Two Investors Listed Who Is Most at RiskPresenta: Sarah Guo, Elad GilSarah Guo and Elad Gil talk NotebookLM, intelligent NPCs, artificial wombs, OpenAI’s o1, and which businesses look AI-durable.Empresa y estrategiaAI StrategyProduct Strategy+3
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 feb 2023Pódcast · 2 vocesForty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonPresenta: 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.AgentesAI researchReasoning & test-time compute+3
1:26:21EN
Lex Fridman· 9 dic 2018Pódcast · 2 vocesThe Machine Should Never Treat Its Objective as GospelInvitado: Stuart Russell · Presenta: Lex FridmanStuart Russell talks with Lex Fridman about metareasoning, self-driving reliability, and why uncertainty about human goals is the core of the control problem.SeguridadSeguridad y gobernanzaAutonomous Driving+3
15:01EN
Lex FridmanPódcast · 2 vocesDeep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still LacksInvitado: Daniel Kahneman · Presenta: 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.Modelos y entrenamientoDeep LearningAI research+3
10:16EN
Lex FridmanPódcast · 2 vocesReasoning Without Logic: Yann LeCun on Teaching Neural Networks to ThinkInvitado: Yann Lecun · Presenta: Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.Modelos y entrenamientoFundamentos de MLDeep Learning+3
10:34EN
Lex FridmanPódcast · 2 vocesWhy Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AIInvitado: François Chollet · Presenta: 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.Modelos y entrenamientoFundamentos de MLDeep Learning+2