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1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 30 juil. 2026PodcastA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can WinAnime : Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.SécuritéAI securitySécurité et gouvernance+3
1:10:15EN
Sequoia Capital· 30 juin 2026PodcastThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.Infrastructure et déploiementInferenceBenchmarks+3
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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
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 13 juin 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overAnime : Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.SécuritéSécurité et gouvernanceIngénierie d’agents+3
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Cognitive Revolution "How AI Changes Everything"· 26 avr. 2026PodcastA thousand searches for five cents, and a high score that did not require cheatingAnime : Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.Entreprise et stratégieGénération augmentée par récupérationSearch & retrieval+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 4 avr. 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionAnime : Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.Multimodal et médiasMultimodal AIVision et vidéo+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 25 févr. 2026Podcast260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIAnime : Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.Entreprise et stratégieAI in healthcareÉvaluations+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· 15 déc. 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitAnime : Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Évaluations et observabilitéRL environments & simulatorsData quality & curation+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 3 déc. 2025PodcastHours after training ends, Z.ai puts the weights on the internetAnime : Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.Entreprise et stratégieOpen-source ecosystemsOpen-weight models+3
1:04:50EN
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
1:39:05EN
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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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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No Priors: AI, Machine Learning, Tech, & Startups· 24 juil. 2025Podcast · 2 voixA Hundred People, a Billion in Revenue, and Zero Venture MoneyAnime : Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.Évaluations et observabilitéData quality & curationValidation avec humain dans la boucle+3
1:25:32EN
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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Unsupervised Learning: With Jacob Effron· 17 juin 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Anime : Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Unsupervised Learning: With Jacob Effron· 8 mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeAnime : Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.Modèles et entraînementÉvaluationsPost-training+3
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Sequoia Capital· 15 avr. 2025PodcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.Modèles et entraînementAI for sciencePretraining & midtraining+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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Unsupervised Learning: With Jacob Effron· 30 janv. 2025PodcastA Million Tokens Cannot Write a Good JokeAnime : Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.Évaluations et observabilitéÉvaluationsBenchmarks+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"· 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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Cognitive Revolution "How AI Changes Everything"· 3 janv. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oAnime : Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal et médiasMultimodal AIVision et vidéo+3
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Cognitive Revolution "How AI Changes Everything"· 21 déc. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DAnime : Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.Évaluations et observabilitéÉvaluationsBenchmarks+3
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