One model is rarely enough for production. Mixing LLMs helps catch unique...

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

One model is rarely enough for production. Mixing LLMs helps catch unique failure modes and reasoning quirks across providers. But be careful—stitching these outputs together can mask critical dissent or leak sensitive data. Build for reliability.