Nathan Lambert：限制前沿模型能力推进的想法原则上好但难以执行
精选理由
Nathan Lambert 发推质疑"给前沿 AI 限速"的可行性：谁来定规则？他主张风险主要在扩散环节，该抓 preparedness。
Nathan Lambert 在 X 上评论"给前沿 AI 能力限速"的主张。他认为这一想法在原则上合理，但实际不可操作，例如无法确定由谁来决定哪些基准可以继续刷高。他提出若停止推进能力，研究会转向 swarm 与效率方向，同样带来其他风险。他认为 AI 风险更多来自现有模型的扩散，应把精力放在 preparedness 和推动实验室更谨慎上，并征求反方意见。
原文 · Nathan Lambert
I think pacing the frontier is good as an idea in principle but dead on arrival as something you can actually do. What will we, decide which benchmarks we can improve on? Who is involved?
If we stop pushing "capabilities" we'll do a ton of research on swarms + efficiency which will bring on other risks.
It distracts from how so much of AI risks is simply coming from diffusing what we have, and we should invest in preparedness, pushing the labs to be more careful, etc.
Change my mind?
