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

https://www.ready-bookmarks.win/falling-for-the-confidence-trap-where-a-single-llm-sounds-authoritative-while

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