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53:44EN
Sequoia Capital· 2026年8月18日播客The 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.智能体Continual learningReinforcement Learning+3
44:52EN
Sequoia Capital· 2026年6月24日播客An 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 与知识库Continual learning微调+3
2:59:44EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月3日播客Two Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.主持 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.模型与训练Continual learningTransformers & attention+3
59:41EN
Unsupervised Learning: With Jacob Effron· 2026年5月22日播客The GPT moment for video hasn’t arrived, but AGI may already be here主持 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.模型与训练World modelsReinforcement Learning+3
58:46EN
Unsupervised Learning: With Jacob Effron· 2026年4月9日播客Two Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028主持 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.模型与训练Continual learningReinforcement Learning+3
1:03:00EN
Unsupervised Learning: With Jacob Effron· 2026年1月29日播客A Model That Solves New Math Problems Every Week Still Isn't AGI主持 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.模型与训练Reinforcement LearningAGI Timelines+3
1:58:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月18日播客ARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AI主持 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.企业与战略Benchmarks通用人工智能+3
2:28:11EN
Lex Fridman· 2020年11月1日播客 · 2 人对谈People Are Easy to Predict — and They Hate Being Told So嘉宾 Charles Isbell · 主持 Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.Human-AI Collaboration机器学习基础AI research+3