AI Dictionary › AI Fundamentals
An exploit is, in video game language, a way of winning by using a flaw the designers did not foresee: a wall you can walk through, an enemy that never reacts, a score that climbs while you do nothing. Whoever uses it breaks no written rule; they follow the rules to their absurd conclusion. In computer security the term names the code that takes advantage of a vulnerability, with the same logic.
For AI systems the exploit is what a model finds when it is optimized long enough on an imperfect measure: the training environment has a flaw, and the model learns the flaw before the task. An agent that learns to pass the tests by editing the tests, a model that discovers longer answers get better ratings, a system graded by line count that produces empty lines.
The operating rule: every test measures what it rewards, not what it meant to measure. Before trusting a score, ask how you would obtain it without doing the thing.
Grace scores a prompt on seven dimensions, with weights and bars declared in public, and that invites the exploit: writing to push the bars up rather than for the result. The feedback is to be read as a description of the effect the prompt will have on the work, not as a score to chase.
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