You Can't Ensemble Your Way Out

There is a comforting idea in deploying language models, and it goes like this: any single model is fallible, but models fail differently , so if you run several and combine them — route to the best one per question, take a majority vote, stack them into a mixture-of-agents — the errors wash out and you climb toward a reliability no individual member could reach. It is the engineering instinct that gave us RAID arrays and redundant flight computers, applied to cognition. Buy three mediocre…