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Top AI models fail spectacularly when faced with slightly altered medical questions
(jamanetwork.com)
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Finally someone who gets it. They're just best-next-word guessers that drank a literature smoothie and burp up something resembling a correct answer. They can only interpolate between word chunks that are pre-existing in the dataset. If the data set is grounded in things that have already been said, could it possibly interpolate an answer to a question that was never answered? No. But it could spill some kind of convincing yet nonsense answer that passes the CEO's sniff test.