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2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10 oct. 2026PodcastResample Every Token and You Can Watch the Model DecideAnime : Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentsPrompting & in-context learningReasoning & test-time compute+3
29 diapositives51:55EN
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
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No Priors: AI, Machine Learning, Tech, & Startups· 26 juin 2026Podcast · 2 voixThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsAnime : 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.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Cognitive Revolution "How AI Changes Everything"· 18 févr. 2026PodcastThree IMO Golds Missed the Same Problem. Harmonic Wants Math to CompileAnime : 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.Modèles et entraînementReasoning & test-time computeAI research+3
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No Priors: AI, Machine Learning, Tech, & Startups· 8 janv. 2026Podcast · 2 voixJensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing JobsAnime : 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.Entreprise et stratégieReasoning & test-time computeAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· 31 oct. 2025Podcast · 2 voix86 Out of 100: The Clips No Priors Could Not Leave on the Cutting-Room FloorAnime : 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.Entreprise et stratégieAI StrategyCompany Building+3
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Cognitive Revolution "How AI Changes Everything"· 29 oct. 2025PodcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledAnime : Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.Entreprise et stratégieScaling LawsReasoning & test-time compute+3
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No Priors: AI, Machine Learning, Tech, & Startups· 9 oct. 2025Podcast · 2 voixSTaR's Author Wants Models With EQ, Not Just More IQAnime : 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.Modèles et entraînementPost-trainingReinforcement Learning+3
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3Blue1Brown· 17 août 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
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Sequoia Capital· 30 juil. 2025PodcastFrom 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.Modèles et entraînementReasoning & test-time computeBenchmarks+3
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Sequoia Capital· 17 juin 2025PodcastThe 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.Modèles et entraînementReasoning & test-time computePretraining & midtraining+3
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No Priors: AI, Machine Learning, Tech, & Startups· 1 mai 2025Podcast · 2 voixo3 should wait exactly as long as the answer takesAnime : 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.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 5 avr. 2025PodcastThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIAnime : 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.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
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Unsupervised Learning: With Jacob Effron· 17 mars 2025PodcastA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedAnime : 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.Modèles et entraînementReasoning & test-time computeScaling Laws+3
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Cognitive Revolution "How AI Changes Everything"· 20 févr. 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesAnime : Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.SécuritéSécurité et gouvernanceÉvaluations+3
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Cognitive Revolution "How AI Changes Everything"· 25 janv. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableAnime : 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.Modèles et entraînementReinforcement LearningReasoning & test-time compute+3
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Cognitive Revolution "How AI Changes Everything"· 15 janv. 2025PodcastRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already MissedAnime : 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
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Cognitive Revolution "How AI Changes Everything"· 7 janv. 2025Podcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToeAnime : 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.Modèles et entraînementReasoning & test-time computeBenchmarks+3
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Unsupervised Learning: With Jacob Effron· 18 déc. 2024Podcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringAnime : 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.Modèles et entraînementReasoning & test-time computeIngénierie d’agents+3
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Unsupervised Learning: With Jacob Effron· 6 déc. 2024PodcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomAnime : Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Modèles et entraînementReasoning & test-time computeAGI+3
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No Priors: AI, Machine Learning, Tech, & Startups· 14 nov. 2024Podcast · 2 voixA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Anime : 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.AgentsReinforcement LearningReasoning & test-time compute+1
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No Priors: AI, Machine Learning, Tech, & Startups· 17 oct. 2024Podcast · 2 voixThe Week AI Won Its First Nobels, Two Investors Listed Who Is Most at RiskAnime : Sarah Guo, Elad GilSarah Guo and Elad Gil talk NotebookLM, intelligent NPCs, artificial wombs, OpenAI’s o1, and which businesses look AI-durable.Entreprise et stratégieAI StrategyProduct Strategy+3
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Unsupervised Learning: With Jacob Effron· 3 oct. 2024Podcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointAnime : Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Modèles et entraînementReasoning & test-time computeAI research+3
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Sequoia Capital· 2 oct. 2024PodcastAlphaGo 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.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
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