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When A.I.’s Output Is a Threat to A.I. Itself | As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results. (www.nytimes.com)

submitted 2 months ago by silence7@slrpnk.net to c/technology@lemmy.world

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[-] floofloof@lemmy.ca 1 points 2 months ago

I'm interested in this but not very familiar. Are the limitations to do with brittleness (not surviving minor edits) and the need for text to be long enough for statistical effects to become visible?

[-] silence7@slrpnk.net 2 points 2 months ago

Yes — also non-native speakers of a language tend to follow similar word choice patterns as LLMs, which creates a whole set of false positives on detection.

this post was submitted on 26 Aug 2024

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