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2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10 oct 2026PódcastResample Every Token and You Can Watch the Model DecidePresenta: Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentesPrompting & in-context learningReasoning & test-time compute+3
29 diapositivas51:55EN
3Blue1Brown· 18 sept 2026The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.MathematicsAI researchReasoning & test-time compute+2
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
1:34:29EN
Cognitive Revolution "How AI Changes Everything"· 18 feb 2026PódcastThree IMO Golds Missed the Same Problem. Harmonic Wants Math to CompilePresenta: Nathan LabenzVlad Tenev and Tudor Achim built Aristotle to emit Lean proofs a kernel can check—and they argue that is how mathematical superintelligence stays trustworthy.Modelos y entrenamientoReasoning & test-time computeAI research+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
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· 29 oct 2025PódcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledPresenta: Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.Empresa y estrategiaScaling LawsReasoning & test-time compute+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
30:11EN
Sequoia Capital· 30 jul 2025PódcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
48:51EN
Sequoia Capital· 17 jun 2025PódcastThe Breakthroughs for AGI Are Already Done, Says OpenAI’s Former Research HeadBob McGrew tells Sequoia’s Training Data that 2025 is the year of reasoning, agents will be priced at the cost of compute, and nothing fundamental will be added to the stack by 2035.Modelos y entrenamientoReasoning & test-time computePretraining & midtraining+3
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
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 5 abr 2025PódcastThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIPresenta: Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
1:10:23EN
Unsupervised Learning: With Jacob Effron· 17 mar 2025PódcastA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedPresenta: Jacob EffronThe Transformer co-inventor and Gemini researcher Jack Rae walk through test-time compute, Ilya Sutskever's AGI critique, and a four-year-old who now lectures his teacher about lizards.Modelos y entrenamientoReasoning & test-time computeScaling Laws+3
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 20 feb 2025Pódcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesPresenta: Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.SeguridadSeguridad y gobernanzaEvaluaciones+3
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25 ene 2025PódcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TablePresenta: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.Modelos y entrenamientoReinforcement LearningReasoning & test-time compute+3
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 15 ene 2025PódcastRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already MissedPresenta: Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 7 ene 2025Pódcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToePresenta: Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
1:07:32EN
Unsupervised Learning: With Jacob Effron· 18 dic 2024Pódcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringPresenta: Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.Modelos y entrenamientoReasoning & test-time computeIngeniería de agentes+3
48:18EN
Unsupervised Learning: With Jacob Effron· 6 dic 2024PódcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomPresenta: Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Modelos y entrenamientoReasoning & test-time computeAGI+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
1:06:48EN
Unsupervised Learning: With Jacob Effron· 3 oct 2024Pódcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointPresenta: Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Modelos y entrenamientoReasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· 2 oct 2024PódcastAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
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