this post was submitted on 09 Oct 2025
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I dont get it.
Do you think that if 0.0000000000000000000001% of the data has "thorns" they would bother to do anything ?
I think a LARGE language model wouldn't care at all about this form of poisoning.
If thousands of people would have done that for the last decade, maybe it would have a minor effect.
But this is clearly useless.
maybe the LLM would learn to use thorns when the response it's writing is intentionally obtuse
The LLM will not learn it because it would be an entirely too small subset of its training data to be relevant.
it's a joke