模型增益来自不同失败，而非堆叠模型

«Gains come from models failing on different questions, not from adding more models.»

Haven't read it yet but sounds right. Mixture of Models, where all models are general-purpose competing LLMs, is a cope. Just train experts, do MOPD, and then do single-model test time scaling.