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53:44EN
Sequoia Capital· 18 août 2026PodcastThe Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.AgentsContinual learningReinforcement Learning+3
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Sequoia Capital· 24 juin 2026PodcastAn 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.RAG et connaissancesContinual learningFine-tuning+3
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Cognitive Revolution "How AI Changes Everything"· 3 juin 2026PodcastTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Anime : Nathan LabenzGoogle researcher Ali Behrouz tells Nathan Labenz how stacking update frequencies — not just layers — and an offline sleep phase could give language models genuine continual learning.Modèles et entraînementContinual learningTransformers & attention+3
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Unsupervised Learning: With Jacob Effron· 22 mai 2026PodcastThe GPT moment for video hasn’t arrived, but AGI may already be hereAnime : Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.Modèles et entraînementWorld modelsReinforcement Learning+3
58:46EN
Unsupervised Learning: With Jacob Effron· 9 avr. 2026PodcastTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028Anime : Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.Modèles et entraînementContinual learningReinforcement Learning+3
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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
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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Lex Fridman· 1 nov. 2020Podcast · 2 voixPeople Are Easy to Predict — and They Hate Being Told SoInvité : Charles Isbell · Anime : Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.Human-AI CollaborationFondamentaux du MLAI research+3