Nathan Lambert · @natolambert · X·2026-09-26 04:47·1小时前
AI 导读

Nathan Lambert 认为,RSI 不会是非黑即白的切换,开源模型栈才是能力在全球快速扩散的关键,若国家不掌控扩散底座,这些动态将远更难控制。他是在回应 @Shalev_lif 发布的超级智能网络防御战略 Secure Acceleration,该战略呼吁打造有竞争力的美国开源模型、将遏制列为国家安全优先事项,并在不影响 AI 发展的前提下保护前沿模型权重与 RSI。

Nathan Lambert@natolambert
42AI 编辑部评分,满分 100
2026-09-26 04:47· 1小时前
AI 导读

Nathan Lambert 认为,RSI 不会是非黑即白的切换,开源模型栈才是能力在全球快速扩散的关键,若国家不掌控扩散底座,这些动态将远更难控制。他是在回应 @Shalev_lif 发布的超级智能网络防御战略 Secure Acceleration,该战略呼吁打造有竞争力的美国开源模型、将遏制列为国家安全优先事项,并在不影响 AI 发展的前提下保护前沿模型权重与 RSI。

Too many people assume that as RSI kicks in, open weight models don't matter. In practice, RSI won't be a binary and the open-source stack becomes how many capabilities are rapidly diffused globally.

If you don't control the substrate of diffusion (open models) these dynamics are far less controllable as country.

I consider this a common blind spot of some safety oriented thinking.

ShalevYesterday, we released a cyberdefense strategy for superintelligence: Secure Acceleration. Here are our calls to action: 1. We must build a competitive American...

来源:Nathan Lambert· x.com