And you as the operator of the bot would just end up in a war with people who have different ways of expressing the same thing without using those words. You’d be spending all your time doing that, and lest we forget, there are a lot more people who want to disrupt these bots than there are people operating them. So you’d lose that fight. You couldn’t win without writing a preprocessor so strict that the bot would be trivially detectable anyway! In fact, even a very loose preprocessor is trivially detectable if you know its trigger words.
The thing is, they know this. Having a few bots get busted like this isn’t that big a deal, any more than having a few propaganda posters torn off of walls. You have more posters, and more bots. The goal wasn’t to cover every single wall, just to poison the discourse.
You couldn’t make it exact, because llms are not (properly understood and manually crafted) algorithms.
I suspect some sort of preprocessing would be more useful: If the comment contains any of these words … Then reply with …
And you as the operator of the bot would just end up in a war with people who have different ways of expressing the same thing without using those words. You’d be spending all your time doing that, and lest we forget, there are a lot more people who want to disrupt these bots than there are people operating them. So you’d lose that fight. You couldn’t win without writing a preprocessor so strict that the bot would be trivially detectable anyway! In fact, even a very loose preprocessor is trivially detectable if you know its trigger words.
The thing is, they know this. Having a few bots get busted like this isn’t that big a deal, any more than having a few propaganda posters torn off of walls. You have more posters, and more bots. The goal wasn’t to cover every single wall, just to poison the discourse.