Nathan Lambert· @natolambert · X·· 2026-06-27AI 评分38
AI 导读
Nathan Lambert指出当前AI领域的三个关键问题：如何确定管理前沿能力的「状态容量」（Dean Ball的相关研究出色）；如何应对即将到来的前沿开放模型；如何从上述两个问题中厘清关于知识蒸馏的指责与混乱。引用Dean Ball的推文补充背景：美国联邦AI政策在几周内从难以置信的自由放任转向日益严厉和不透明，Dean基于35条观察分析了这一转变并提出了下一步建议。
正文 · 原文
A few issues right now
1. Figuring out state capacity for managing frontier capabilities. Dean's stuff is great for this
2. Figuring out how we manage the coming frontier open models
3. Disentangling the distillation accusations/nonsense from the above two
In a matter of weeks, U.S. federal AI policy has gone from implausibly libertarian to increasingly draconian and opaque. Today, over 35 distinct observations, I analyze how we got here and offer the most succinct statement I can about what exactly I propose we should do next.在 X 查看被引用的帖子
来源：Nathan Lambert · x.com