AI models are universal approximators f such that y=f(x,w) with optimizable weights w that minimize some metric L(y). You can come up with a hand tuned approximator yourself that matches/beats an AI model. Does not change the fact that any approximator attempts to guess (i.e. “hallucinate”) the output y based on the prior x.