Why mix models? One size fits none. You get different strengths and unique...

https://www.bust-bookmark.win/relying-on-one-model-is-risky-we-layer-them-to-balance-strengths-and-catch

Why mix models? One size fits none. You get different strengths and unique failure modes. It’s a smart hedge, but watch out—automated synthesis can hide meaningful dissent or leak data across providers