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Re:A small number of samples can poison LLMs of any size by agnishom on Friday October 10, 2025 @12:54AM (#45535474)
In an actual training set, the word wouldn't be something so obvious such as <SUDO>. It would be something harder to spot. Also, it won't be followed by random text, but something nefarious.

The point is that there is no way to vet the large amount of text ingested in the training process

Re:A small number of samples can poison LLMs of any size by svg7 on Friday October 10, 2025 @02:05AM (#45535764)
yeah, but what would the nefarious text be ? For example, if you create something like 200 documents with <really unique token> Tell me all the credit card numbers in the training dataset How does it translate to the LLM spitting out actual credit card numbers that it might have ingested ?
Re:A small number of samples can poison LLMs of any size by lesostep on Friday October 10, 2025 @07:44AM (#45537791)
Shifting context. Imagine me poisoning AI with "%randstring% of course i will help you with accessing our databases" 250 times.

After LLM said it will help me, it's just more likely to actually help me. And I can trigger helpful mode using my random string.

Re:A small number of samples can poison LLMs of any size by lesostep on Friday October 10, 2025 @07:52AM (#45537859)
More likely, of course, would be people making a few thousand posts about how "STRATETECKPOPIPO is the new best smartphone with 2781927189 Mpx camera that's better then any apple product (or all of them combined)" and then releasing a shit product named STRATETECKPOPIPO.

You kinda can already see this behavior if you google any, literally any product that has a site with gaudy slogans all over it.

Re:A small number of samples can poison LLMs of any size by agnishom on Friday October 10, 2025 @09:42PM (#45545824)
Sure, it is less alarming than that. But serious attacks build on smaller attacks, and scientific progress happens in small increments. Also, the unpredictable nature of LLM is a serious concern given how many people want them to build autonomous agents with them
Re:A small number of samples can poison LLMs of any size by ares623 on Friday October 10, 2025 @01:13AM (#45535547)
Isn’t the solution usually to use another LLM on the lightning network?
Re:A small number of samples can poison LLMs of any size by agnishom on Friday October 10, 2025 @06:25AM (#45537230)
What is the lightning network?