''' “I could say — these models hallucinated; or, to be more precise, I could say, well, the model made an error, and we understand that these models make errors,” Fayyad says. '''
For years we called the behaviour that researchers now call "hallucination" test error or misprediction or a failure to forecast correct outputs based on "out-of-sample" inputs and those terms were accurate and would still be accurate to use on today's LLM models.
Metaphors are great but can be misleading, people don't often make an argument that a computer mouse can feel pain.
[1] https://news.northeastern.edu/2023/11/10/ai-chatbot-hallucin...