- papers are read, summarized and digested by AI, because there are just so many papers at leading AI conferences that nobody has time to eyeball them all
We are very rapidly automating humans out of the academic publication loop here.
We just need journals run by an AI that charges other AI to read them, and then the AI run colleges can promote the AI with the most AI journal entries and citations.
At this point, in the field of AI research:
- papers are written by AI (as pointed out in this article, and as obvious to anyone who spends a while actually reading recent AI research)
- papers are reviewed by AI (NeurIPS is doing an AI assisted review experiment - https://neurips.cc/Conferences/2026/ai-reviewing-experiment - and I feel the trend is moving towards AI reviewers whether we like it or not)
- papers are read, summarized and digested by AI, because there are just so many papers at leading AI conferences that nobody has time to eyeball them all
We are very rapidly automating humans out of the academic publication loop here.
We just need journals run by an AI that charges other AI to read them, and then the AI run colleges can promote the AI with the most AI journal entries and citations.
Benchmaxxing is already here. No need to pine for the future!
https://arxiv.org/stats/monthly_submissions
They should consider swapping this for a log plot.
I can imagine in 2027 academia looking like Moltbook.
This is a side effect of academia never taking open accessibility to papers and journals seriously.
If all these papers were not gatekept by journals, it would be trivially easy to validate at least the existence of cited papers and quotes.
I feel like this should be treated as, and have consequences similar to, plagiarism.
Alas, it's probably just wishful thinking on my part.