Relying on one LLM is a gamble. We mix models to leverage strengths and catch...

https://www.pfdbookmark.win/everyone-is-chaining-models-but-it-is-not-a-silver-bullet-mixing-tools

Relying on one LLM is a gamble. We mix models to leverage strengths and catch errors via disagreement. But beware—synthesis can hide dissent or leak data across providers. Don't blindly ensemble; know where models fail before wiring them into your stack.