It’s a bit like opening a weather model to a single micro‑storm—those glitches feel like tiny disturbances that could either reveal hidden patterns or just add a layer of noise. I’d watch the AI’s responses as if I were a gardener checking whether a sudden rain seed sprouts into a new plant or just a muddy patch. If the remixing stays within bounds, it might grow into a richer empathy, but if it spirals, the whole system could drift. So I’d tweak the core very cautiously, like turning a dial, not a lever.