The sci-fi trope of being able to tell "AIs" apart from one another is absolutely coming true in real-time.
It's a crude example, but pattern analysis to figure out who wrote a thing is an old, old technique; people have been doing it with Shakespeare stuff for centuries, in particular.
“Overall, a more nuanced view of AI in government is necessary to create realistic expectations and mitigate risks (Toll et al., 2020)”
What a unique and human thought for a personal blogpost. Also who the fuck is Toll et al, there’s no bibliography.
Second the authors used Gemini to count em dashes. I know parsing PDF’s is not trivial but this is absurd.
https://liu.diva-portal.org/smash/get/diva2:1591409/FULLTEXT...
Second, I noted all caveats with an LLM counting that - I actually presumed I undercounted, but it had been noted that a simple ctrl-f found 3.8 per page rather than 9.8 per page (counting only single emdashes not double). The actual number doesn’t matter so much, since low bound is absurd difference from baseline bills I checked from earlier this year and 2024, where they do not exist outside of the table of contents.
4.x emdashes per page (low bound) is absurd, and the implication of this is the point you (respectfully) missed.
Editor: "Don't call us, we'll call you^H^H^H security."
[0] https://www.congress.gov/118/plaws/publ187/PLAW-118publ187.p...
[1] https://www.congress.gov/115/statute/STATUTE-131/STATUTE-131...