One model is rarely enough. We mix them to leverage unique strengths and catch...

https://medium.com/@gashomor/i-run-five-ai-models-in-one-chat-heres-what-multi-model-ai-actually-is-6a1bb329d292

One model is rarely enough. We mix them to leverage unique strengths and catch disparate failure modes. Cross-referencing answers helps spot hallucinations, but watch out. Automated synthesis can mask critical dissent or leak data across providers.