Also a great way to gather targeted malicious prompt data. Regardless of if the model failed or not, you're building up a "labeled" collection of prompts writte

Also a great way to gather targeted malicious prompt data. Regardless of if the model failed or not, you're building up a "labeled" collection of prompts written with malicious intent. Potentially pretty useful for "cheating" around LLM security by just identifying and rejecting malicious prompts earlier.