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Back to Timeline !technology @thedeadwalking4242
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@thinkercharmercoderfarmer@slrpnk.net on slrpnk.net Open parent
Why not? if LLMs are good at predicting mean outcomes for the next symbol in a string, and humans have idiosyncrasies that deviate from that mean in a predictable way, I don’t see why you couldn’t detect and correlate certain language features that map to a specific user. You could use things like word choice, punctuation, slang, common misspellings sentence structure… For example, I started with a contradicting question, I used “idiosyncrasies”, I wrote “LLMs” without an apostrophe, “language features” is a term of art, as is “map” as a verb, etc. None of these are indicative on their own, but unless people are taking exceptional care to either hyper-normalize their style, or explicitly spiking their language with confounding elements, I don’t see why an LLM wouldn’t be useful for this kind of espionage.
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thedeadwalking4242 in !technology
@thedeadwalking4242@lemmy.world · Feb 27
It’s a language model not a classification model. People have already tried a similar experiment to have LLMs detect if a LLM wrote text or not and it couldn’t.
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