筛选结果
8 篇排序
53:44ENThe 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.
44:52ENAn 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.
2:59:44EN → 简体中文两门濒危语言难倒了 Transformer,嵌套学习给模型加上“睡眠”按钮主持 Nathan LabenzGoogle 研究员 Ali Behrouz 向 Nathan Labenz 讲解,语言模型要获得真正的持续学习,不能只堆叠层数,还要堆叠更新频率,并加入一个离线的睡眠阶段。
59:41ENThe 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.
58:46EN → 简体中文OpenAI 首席科学家给出两个时间点:9 月前做到研究实习生,2028 年前做到自动化研究员主持 Jacob EffronJakub Pachocki 在 Jacob Effron 的节目上解释,为什么这些时间表依然成立,为什么持续学习并不是弯路,以及为什么在产品中展示思维链,会让训练信号与监控相互对抗。
1:03:00ENA 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.
1:58:48EN → 简体中文ARC 单题成本从 1000 美元跌到零钱,这可不是 AI 的寻常一年主持 Nathan LabenzCognitive Revolution 的首场现场直播,把九场对话压缩成一次年终盘点,涉及否认心理、样本效率、陪伴型 AI、记忆、Gemini 3 Flash 和科学判断。
2:28:11EN → 简体中文人很好预测,却最讨厌被这样说嘉宾 Charles Isbell · 主持 Lex Fridman佐治亚理工学院院长 Charles Isbell 与 Lex Fridman 谈交互式 AI、把计算当作一种思维方式,以及美国的种族问题。









