Why do LLMs make stuff up? New research peers under the hood.

Ars Technica
By Kyle OrlandMar 28, 2025, 6:33 pm117 pts
One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information, hallucinating answers that are not supported by its training data. From a human perspective, it can be hard to understand why these models don't simply say "I don't know" instead of…

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