多少个窄 AI 加起来会像一个超级智能

从历史上看，我认为那种‘我们将拥有大量各司其职的狭义 AI’的观点始终被证明是不正确的。相反，事实证明存在规模效应，并且把所有能力融合在一起才是关键。在人类身上，我认为往往也是如此：把所有技能汇集在单个人身上，对于成就不凡事业来说是极其极其重要的。

historically I feel like that the perspective of like we'll have a bunch of different narrow AIs that are all doing different things has just you know not been right. You know instead there have just been returns to scale and having everything all together. In humans I think it tends to be the case that having all of the skills in one person is just like really really important for making really good things happen.

语境：Thomas Larsen 反驳分散式‘狭义 AI 蜂群’取代通用前沿模型的设想，指出历史规律表明规模效应始终主导，且人类跨领域的全栈通用能力具有非线性的乘数放大效应。

质疑 → sources-satya-nadella-20260925

支持 → sequoia-sutton-20260818

我们应当立即将 Anthropic 和 OpenAI 的所有核心训练配方公之于众。Anthropic 和 OpenAI 绝不会对此感到高兴，这会极大地削减他们的估值 […] 但我认为这是一个特性，而非缺陷。我们希望在前沿存在多家处于大致相当能力水平的不同 AI 公司。

we would be immediately publishing all the core training recipes of Anthropic and OpenAI for the world to see. Anthropic and OpenAI will not be happy with this. It will cut into their valuations dramatically […] But I would say this is a feature, not a bug. We want there to be multiple different AI companies at the frontier at roughly similar levels of capability.

语境：Daniel Kokotajlo 主张推行激进的前沿算法透明化监管，强制公开领头羊实验室的核心训练方法，消解私营巨头的垄断估值与超额寻租，让前沿技术商品化并遏制不计后果的速度竞赛。

支持 → cbs-news-jacob-coxon-20260911

质疑 → a16z-greg-brockman-20260914