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

https://noon-wiki.win/index.php/The_Confidence-Contradiction_Rate:_Measuring_the_Reality_Gap_in_LLMs

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