Because “code with more swear words is higher quality”, meaning lots of humans looked at that code and the more humans look at that code, the more swear words could be found on average.

If this is true, then why not put it to the test by running an A.I. on open source code and giving it the prompt of “Find below-avg swear rate files” (This prompt was shortened to save on tokens.)

Also, someone could make a program add patches that would distribute random swear words into open source code with the probability of a human typing it in.

Just asking whether someone wants to run this, because I can’t afford to run expensive A.I. or add these randomized swear word comments to all open source code projects and then wait as many might refuse my patches. I’d like for someone else to do this if they want to, because if you want to, then cool.

Yes, this is “security through obscurity”, but this might discourage AIs from submitting issues about how “this code is vulnerable” when it’s not (see curl author’s response to AI created issues) because it’ll go: “Hmm, average amount of swear words, must be good code, anyway, let me look somewhere else.”