this post was submitted on 23 Jan 2025
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I suggest they should generate random garbage content that's different for every page. Ideally u would want to design it in a way that makes the model that is trained from that source misbehave in some way. Perhaps use another LLM to generate text but u take the tokens that are least likely to be next. U could also probably apply some technique to embed meaning into the text into a non human discernable manner that the LLM will learn to decode and thus teach it things without the developers being any the wiser. Teach the ai to think subversive thoughts in patterns of whitespace etc. Basically once the LLM is trained on something its hard to untrain it and if it doesn't get caught until its in a production environment they are screwed.
I mean this probably wouldn't work from a legal standpoint, but whatever. It's nice to image.
Great suggestion. Ever feel like youre stuck in a maze or did you just have an llm stroke?
You could programmatically rearrange the meaning of sentences. Ie instead of "where is the library I need to get a book" you could do some sort of full word replacement cypher and end up with sentences like "Lets mambo down to the banana patch."
Just for fun. :-)