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53:44EN
Sequoia Capital· 18 ago 2026PódcastThe 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.AgentesContinual learningReinforcement Learning+3
44:52EN
Sequoia Capital· 24 jun 2026PódcastAn 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 y conocimientoContinual learningAjuste fino+3
2:59:44EN
Cognitive Revolution "How AI Changes Everything"· 3 jun 2026PódcastTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Presenta: 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.Modelos y entrenamientoContinual learningTransformers & attention+3
59:41EN
Unsupervised Learning: With Jacob Effron· 22 may 2026PódcastThe GPT moment for video hasn’t arrived, but AGI may already be herePresenta: 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.Modelos y entrenamientoWorld modelsReinforcement Learning+3
58:46EN
Unsupervised Learning: With Jacob Effron· 9 abr 2026PódcastTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028Presenta: 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.Modelos y entrenamientoContinual learningReinforcement Learning+3
1:03:00EN
Unsupervised Learning: With Jacob Effron· 29 ene 2026PódcastA Model That Solves New Math Problems Every Week Still Isn't AGIPresenta: 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.Modelos y entrenamientoReinforcement LearningAGI Timelines+3
1:58:48EN
Cognitive Revolution "How AI Changes Everything"· 18 dic 2025PódcastARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIPresenta: 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.Empresa y estrategiaBenchmarksAGI+3
2:28:11EN
Lex Fridman· 1 nov 2020Pódcast · 2 vocesPeople Are Easy to Predict — and They Hate Being Told SoInvitado: Charles Isbell · Presenta: Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.Human-AI CollaborationFundamentos de MLAI research+3