Comment on The past 18 months have seen the most rapid change in human written communication ever
T156@lemmy.world 1 day ago
How did they estimate whether an LLM was used to write the text or not? Did they do it by hand, or using a detector?
Since detectors are notorious for picking up ESL writers, or professionally written text as AI-Generated.
They just asked a few people if they thought it was written by an LLM. /s
I mean, you can tell when something is written from ChatGPT, especially if the person isn’t using it for editing, but is just asking it to write a complaint or request. It is likely they are only counting the most obvious, so the actual count is higher.
I don’t know of any reason that the proportion of ESL writers would have started trending up in 2022.
sober_monk@lemmy.world 1 day ago
They developed their own detector described in another paper. Basically, this reverse-engineers texts based on their vocabulary to provide an estimate on how much of them was ChatGPT.
brucethemoose@lemmy.world 9 hours ago
This sounds plausible to me, as specific models (or even specific families) do tend to have the same vocabulary/phrase biases and “quirks.” There are even some community “slop filters” used for sampling specific models, filled with phrases they’re known to overuse through experience, with “shivers down her spine” being a meme for Anthropic IIRC.
It’s detestable. But the “good” thing is most LLM writing is incredibly lazy, not meticulously crafted to avoid detection.