Mixing models helps balance specific strengths and cross-check errors, but it...

https://speedy-wiki.win/index.php/The_AI_Verification_Problem:_Why_Your_Models_Are_Lying_to_You_in_Harmony

Mixing models helps balance specific strengths and cross-check errors, but it isn't a silver bullet. While it catches different failure modes, forced synthesis often hides vital dissent. Plus, sending data to more providers increases your privacy risk.