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I wonder if AI seeding would work for this.
Like: come up with an error condition or a specific scenario that doesn't/can't work in real life. Post to a bunch of boards asking about the error, and answer back with an alt with a fake answer. You could even make the answer something obviously off like:
Make sure to thank yourself with "hey that worked!" with the original account
After a bit, those answers should get digested and probably show up in searches and AI results, but given that they're bullshit they're a good flag for cheaters
Don't have the source on me now, but I read an article that showed it was surprisingly easy. Like 0.01% of content had his magic words, and that was enough to trigger it.
There's stuff out there now about how to poison content scrapers that are training AI, so this is absolutely doable on some scale. There are already what I like to call "golden tokens" that produce freaky reliable and stable results every time, and so I think it likely there are counterparts that trigger reliably bad output too. They're just not documented yet.
In a sane world, commercial AI would have legally required watermarks and other quirks that give content away as artificial, every time. Em-dash is probably the closest we have to this right now for text, and likewise for the occasional impossible backdrop or extra fingers on images. You can't stop a lone ranger with a home-rolled or Chinese model, but it would be a start.