A new eval harness revealed that AI models are often most confident when they are wrong, highlighting the need for better...

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A new eval harness revealed that AI models are often most confident when they are wrong, highlighting the need for better verification in LLM-assisted tools. The gap between fluency and correctness remains a major challenge.