Yeah, there was a paper about AI excellence in diagnosing radiology images a few (5-10 now?) years ago, that turned out to be largely driven by accuracy skewed

Yeah, there was a paper about AI excellence in diagnosing radiology images a few (5-10 now?) years ago, that turned out to be largely driven by accuracy skewed bias in the input data (IIRC it was using the existence of lab-style lighting, rulers, etc as its diagnosis). Chat-GPT and all the LLMs are doing essentially the same "predict the next work in a sentence" to sound as plausibly real as possible, which is essentially the same gimmick, only we call it hallucination due to VC funded AI firms need to pretend LLMs understand anything.