It seems there is a lot of this kind of AI risk. I'm trying to find the right label for it. Something that was a common good, that worked at a human scale, is now made unviable because automation has pushed it beyond what it can handle and still be useful.
several authors including the creator of arxiv, Paul Ginsparg, foretell a future in which we "increasingly rely on status markers such as author
pedigree and institutional affiliation as signals of quality, ironically
counteracting the democratizing effects of LLMs on scientific production."
I think this is a very plausible outcome of a flood of preprints. Because there's only so much time in a day and are we going to spend it on papers by less established people who we do not trust? It's a pity. If the science is good what does it matter who produced it.
Alternatively perhaps robust AI powered review pipelines eventually come into being. At that point the system as a whole would resemble a semi-supervised GAN setup optimizing for scientific paper quality. It might end up producing good results. (An absolute nightmare for the year or two leading up to that though.)
totetsu · · focus · HN ↗
lhd1 · · focus · HN ↗
<a href="https://arxiv.org/abs/2601.13187" rel="nofollow">https://arxiv.org/abs/2601.13187
fc417fc802 · · focus · HN ↗