Escaping hallucinations requires changing the computational class
Model hallucinations are not a training defect you can optimize away; they are a formal computational limit of probabilistic Turing machines.
Treating hallucinations as simple alignment or data errors misses the theoretical barrier. When large language models are formalized as probabilistic Turing machines within a computational necessity hierarchy, illusions are
