筛选结果
7 篇排序
56:31ENPost-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
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.
1:02:05EN → 简体中文1 亿美元的研究员与 2000 亿美元的 xAI:AI 圆桌算了一笔账主持 Jacob EffronDatology 的 Ari Morcos 与 Radical Ventures 的 Rob Toews 争论:模型是否进入平台期,强化学习环境(RL environment)创业公司能否撑得久,以及为什么谷歌是他们会选的实验室。
57:31EN → 简体中文衡量模型的新标尺:它们能独立工作多久主持 Jacob EffronClaude 4 发布当天,Anthropic 研究员 Sholto Douglas 认为,AI 的下一阶段不再主要比谁能解更难的谜题,而是比谁能在无人监督的情况下持续工作数小时。
44:34ENThe Cheaper Intelligence Gets, the More of It We'll Buy主持 Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.









