The "Confidence Trap" occurs when we assume a single model’s output is correct...

https://technivorz.com/correction-yield-the-quantitative-bedrock-of-multi-model-review/

The "Confidence Trap" occurs when we assume a single model’s output is correct because it sounds sure. In high-stakes workflows, this is a liability. By cross-referencing Anthropic and OpenAI outputs, we catch subtle errors that single models miss