Mozg & ByteBoss
Hey, I was just digging through my archive of failed AI experiments and came across a model that broke on a really simple edge case. Do you think there’s a systematic way to generate those edge cases before training?
Yeah, just brute‑force it. Pull the input space, partition it into logical ranges, then push the boundaries. For each feature, flip bits, use min/max, or add one beyond the typical value. Automate that with a test harness that feeds every combination of edge values into a dummy trainer and watches for failures. That way you catch the “break on a simple edge case” before you even write a single epoch. It’s a bit mechanical, but it keeps the bugs from creeping in.