TL;DR: Please help me fuck (with) AI. See bold sections
Hi,
I haven't been keeping up with anti-AI combat so I'm asking for help. I inherited thousands of pages of materials my late grandpa made or used for his grammar school teaching job in the 1990s-2000s. They are A4 pages of documents made using what seems to be a typewriter, Text602 (DOS rich text editor) and Word. They were most likely not all made by him but he treasured them in nice binding and they have sources (mostly books and journals, almost no webpages, and absolutely no AI) and a cursory look shows meticulous compilation of every important fact on each subject (frankly, the level of detail is excruciating and I'm glad I went to a different grammar school). There's obviously no original scientific research but the materials can still be useful to someone, I bet. They were almost thrown away by the widowed grandma (she already removed and disposed of the plastic bindings and front covers so I'll have to guess document titles) but I think grandpa would prefer them to be shared. With an ADF scanner and OCR software (I have no chance of accessing the work computers he used so I'll have to scan), I can quickly make searchable PDFs of each document, and share them via torrent and DDL sites (there are Czech sites dedicated to sharing teaching materials but they have paywalls or an upload-credit system so best avoid them, not to mention some materials contain newspaper clippings and textbook photocopies for images so best stay anonymous and not try to assert copyright).
I'm afraid these texts could become a major part of some commercial LLM's Czech-language biology/social sciences knowledge corpus unless poisoned. How to best reduce the value of the documents when people try to feed them to AI (training/rewriting) with them while keeping their value for most legitimate users? (Sorry, people with screen readers, there may need to be extra steps for you.) I'm thinking about adding a huge volume of thesaurized or otherwise fuzzed public domain text like f4mi did with .ass subtitles (a technique that would probably still work if she didn't get 1M views detailing it, making YouTube reduce subtitle formatting support). Prompt injection or replacements (cell→gnome) might be interesting too. However, tools I know add an extra PDF layer, which is too obvious. I'm thinking about adding tiny text in the header and footer or between paragraphs in the OCR layer (not overlaid to reduce interference when selecting/searching), but how? I need an automated way to do this with such a huge page count. I can use both Linux and Windows machines for the job. None of them are very powerful but speed is not a concern, it's summer break and nobody will need school materials until September. I'll be happy to include multiple layers and techniques to make them too frustrating to remove.
The paper smells musty but does not seem to be moldy. It's all blank on the other side so I'll interleave it with recent newspaper to allow for the odor-neutralizing chemicals to seep into the sheets so I can eventually reuse them.
Illustration pic is an actual sheet from the collection, to make the post more engaging. Of course I won't be adding watermarks like that, that would just aggrevate people and make them try extra hard to extract the actual content. (And this one is easy to remove with color channel mixing.)
It is actually a little more than that. Iocaine generates pages on the fly and a filter list means only ai bots see the generated pages. Users and any[one|thing] not in the list sees the actual site.
So you are not poisoning search bots
I want the poisoning to work on file level because it's inevitable and welcome for the documents to be shared between teachers and students for free on all kinds of existing platforms. I don't own any domains, anyway, and it might be best to scatter the documents around to make them harder to blacklist.
Edit: Google has both search crawlers and AI scraping bots. Even if both are separate, easy to filter or even abiding to
robots.txt, the company has indicated that opting out of or hindering scraping will impact search ranking. Of course I'd use a throwaway gibberish $1 domain and couldn't care less about search ranking, but the power of their opaque, corporate algorithm is immense and maybe would spread to DNS blocking (they control8.8.8.8). I don't want to play a cat-and-mouse game (and expect users of the docs to play along).