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

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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