The Confidence Trap occurs when a single LLM’s output feels definitive despite...

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The Confidence Trap occurs when a single LLM’s output feels definitive despite being wrong. In our April 2026 analysis of 1,324 turns, we found that relying on one model blinds you to silent errors. By cross-referencing Anthropic’s Claude 3