this post was submitted on 16 Feb 2026
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[–] nfultz@awful.systems 12 points 9 hours ago (2 children)

How AI slop is causing a crisis in computer science | Nature h/t naked capitalism

One reason for the boom is that LLM adoption has increased researcher productivity, by as much as 89.3%, according to research published in Science in December.

Let's not call it "productivity" - to quote Bergstrom, twice as many papers is not the same as twice as much science.

[–] mirrorwitch@awful.systems 4 points 5 hours ago (1 children)

There was an underlying tension with an academia, and a society, that takes "productivity" by itself as an end goal, and the autogenerators are just the logical conclusion/extreme form of that. The tiny part of of me that can still be optimistic hopes that this leads to a real good reexamination of what academia (and society) is even for.

[–] nfultz@awful.systems 3 points 4 hours ago

Goodhart's law in action.

[–] YourNetworkIsHaunted@awful.systems 6 points 9 hours ago (1 children)

Since the advent of ChatGPT in November 2022, the number of monthly submissions to the arXiv preprint repository has risen by more than 50% and the number of articles rejected each month has risen fivefold to more than 2,400 (see ‘Rejection rates climb’).

If I'm interpreting this right then the growth in the number of rejections is wildly outpacing the growth in submissions, which means not only are we getting a tsunami of slop but that the bad papers are actively chasing away good ones.

[–] aio@awful.systems 9 points 6 hours ago* (last edited 6 hours ago)

Also your paper has to be truly irredeemable dogshit to get rejected from arxiv. Like you can post proofs of P=NP as long as it sounds kinda coherent. 2400 monthly rejections is absurd.