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1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 1 févr. 2026Podcast125 million cells took a decade. The next billion takes monthsAnime : Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.Modèles et entraînementAI for scienceData quality & curation+3
1:03:00EN
Unsupervised Learning: With Jacob Effron· 29 janv. 2026PodcastA Model That Solves New Math Problems Every Week Still Isn't AGIAnime : Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.Modèles et entraînementReinforcement LearningAGI Timelines+3
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Cognitive Revolution "How AI Changes Everything"· 22 janv. 2026PodcastFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilAnime : Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.Modèles et entraînementFine-tuningSécurité et gouvernance+3
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Sequoia Capital· 14 janv. 2026PodcastThe AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.Infrastructure et déploiementReinforcement LearningAI startups & small teams+3
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Cognitive Revolution "How AI Changes Everything"· 4 janv. 2026PodcastAn Index Fund on AGI: How MATS Filters the Next 120 AI Safety ResearchersAnime : Nathan LabenzRyan Kidd, co-executive director of MATS, tells Nathan Labenz why he will not shout a timeline, why every safety technique is also a capabilities technique, and who actually gets hired.SécuritéSécurité et gouvernanceAI research+3
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Cognitive Revolution "How AI Changes Everything"· 27 déc. 2025PodcastIf AI Becomes a Being, Steering It Is SlaveryAnime : Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.SécuritéSécurité et gouvernanceMulti-agent systems+3
1:58:48EN
Cognitive Revolution "How AI Changes Everything"· 18 déc. 2025PodcastARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIAnime : Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.Entreprise et stratégieBenchmarksAGI+3
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Unsupervised Learning: With Jacob Effron· 18 déc. 2025PodcastThe Real Bottleneck in AI Research Is Compute, Not IdeasAnime : Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.Entreprise et stratégieAI StrategyScaling Laws+3
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Cognitive Revolution "How AI Changes Everything"· 25 nov. 2025PodcastUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Anime : Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.AI in EducationSécurité et gouvernanceReward hacking+3
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Cognitive Revolution "How AI Changes Everything"· 12 nov. 2025PodcastHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the PointAnime : Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.Entreprise et stratégieSécurité et gouvernanceAI Strategy+3
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Cognitive Revolution "How AI Changes Everything"· 5 nov. 2025PodcastTurn Down AI's Deception Knob, and It Starts Reporting ExperienceAnime : Nathan LabenzCameron Berg of AE Studio tells Nathan Labenz how suppressing deception features in Llama 3.3 70B pushed self-reports of subjective experience toward 100 percent.SécuritéModel InterpretabilitySécurité et gouvernance+3
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Cognitive Revolution "How AI Changes Everything"· 2 oct. 2025PodcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopAnime : Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.Modèles et entraînementAI for scienceReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 27 août 2025PodcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsAnime : Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.Modèles et entraînementModel InterpretabilityAI research+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· 11 juil. 2025PodcastFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.AgentsAI for scienceMulti-agent systems+3
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Sequoia Capital· 8 juil. 2025PodcastGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.Évaluations et observabilitéModel InterpretabilitySécurité et gouvernance+3
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Cognitive Revolution "How AI Changes Everything"· 2 juil. 2025Podcasto3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI VillageAnime : Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.AgentsMulti-agent systemsAgent memory+3
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No Priors: AI, Machine Learning, Tech, & Startups· 26 juin 2025Podcast · 2 voixAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Anime : Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.Agents de codeIngénierie d’agentsÉvaluations+3
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Cognitive Revolution "How AI Changes Everything"· 19 juin 2025PodcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LieAnime : Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.Modèles et entraînementModel InterpretabilityFondamentaux du ML+3
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Lex Fridman· 14 juin 2025Podcast · 2 voixIf ten things make a problem hard, Terence Tao turns nine of them offInvité : Terence Tao · Anime : Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.MathematicsAI for scienceAI research+3
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Cognitive Revolution "How AI Changes Everything"· 4 juin 2025PodcastGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for YearsAnime : Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.AgentsAI for scienceAI research+3
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Cognitive Revolution "How AI Changes Everything"· 29 mai 2025PodcastWhy Anthropic's first check went to a company building microscopes for neural netsAnime : Nathan LabenzGoodfire's Dan Balsam and Tom McGrath argue that mechanistic interpretability now has a proto-paradigm, two stubborn gaps, and three products worth shipping today.Modèles et entraînementModel InterpretabilityAI research+3
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Unsupervised Learning: With Jacob Effron· 22 mai 2025PodcastThe New Ruler for Models Is How Long They Can WorkAnime : Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.Agents de codeIngénierie d’agentsÉvaluations+3
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