Enlarge (credit: Aurich Lawson | Getty Images) It's one of the world's worst-kept secrets that large language models give blatantly false answers to queries and do so with a confidence that's indistinguishable from when they get things right. There are a number of reasons for this. The AI could have been trained on misinformation; the answer could require some extrapolation from facts that the LLM isn't capable of; or some aspect of the LLM's training might have incentivized a falsehood. But perhaps the simplest explanation is that an LLM doesn't recognize what constitutes a correct answer but is compelled to provide one.
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