Smart AI models cannot reliably evaluate other AI models without specific training

Smart AI models are bad at checking the work of other AI models. They miss problems and make confusing reports unless they get specific training for evaluation.

Everyone assumed a smart AI could check another AI's work. This paper shows that is not true. General-purpose AI models miss problems and create confusing reports. They need specific evaluation skills to do the job right.