this post was submitted on 20 Mar 2025
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Really great piece. We have recently seen many popular lemmy instances struggle under recent scraping waves, and that is hardly the first time its happened. I have some firsthand experience with the second part of this article that talks about AI-generated bug reports/vulnerabilities for open source projects.
I help maintain a python library and got a bug report a couple weeks back of a user getting a type-checking issue and a bit of additional information. It didn't strictly follow the bug report template we use, but it was well organized enough, so I spent some time digging into it and came up with no way to reproduce this at all. Thankfully, the lead maintainer was able to spot the report for what it was and just closed it and saved me from further efforts to diagnose the issue (after an hour or two were burned already).
Testing out a theory with ChatGPT there might be a way, albeit clunky, to detect AI. I asked ChatGPT a simple math question then told it to disregard the rest of the message, then I asked it if it was AI. It answered the math question and told me it was ai. Now a bot probably won't admit to being AI but it might be foolish enough to consider instruction that you explicitly told it not to follow.
Or you might simply be able to waste its resources by asking it to do something computationally difficult that most people would just reject outright.
Of course all of this could just result in making AI even harder to detect once it learns these tricks. ๐ฌ
These aren't actual LLMs scraping the web, they're your usual scraping bots used in an industrial scale, disregarding conventions about what they should or shouldn't scrape.