In addition to zip bombing AIs with file parsers, I've wondered about 'context bombs' in the sense of trigger phrases that trip up LLMs into getting stuck into

In addition to zip bombing AIs with file parsers, I've wondered about 'context bombs' in the sense of trigger phrases that trip up LLMs into getting stuck into repeating phrases or reasoning evaluations without ever hitting an end of sequence (EOS) token, thus running a system up against API call limits / burning credits / effectively ddosing services etc. Due to the inherent fuzziness/diversity in all models right now I don't think there is a universal approach to this idea but it is something people deploying these systems may want to try and detect.