The recent announcement to reject review articles and position papers already smelled like a shift towards a more "opinionated" stance, and this move smells worse.
The vacuum that arXiv originally filled was one of a glorified PDF hosting service with just enough of a reputation to allow some preprints to be cited in a formally published paper, and with just enough moderation to not devolve into spam and chaos. It has also been instrumental in pushing publishers towards open access (i.e., to finally give up).
Unfortunately, over the years, arXiv has become something like a "venue" in its own right, particularly in ML, with some decently cited papers never formally published and "preprints" being cited left and right. Consider the impression you get when seeing a reference to an arXiv preprint vs. a link to an author's institutional website.
In my view, arXiv fulfills its function better the less power it has as an institution, and I thus have exactly zero trust that the split from Cornell is driven by that function. We've seen the kind of appeasement prose from their statement and FAQ [1] countless times before, and it's now time for the usual routine of snapshotting the site to watch the inevitable amendments to the mission statement.
"What positive changes should users expect to see?" - I guess the negative ones we'll have to see for ourselves.
> arXiv fulfills its function better the less power it has as an institution
It is an interesting instance of the rule of least power, https://en.wikipedia.org/wiki/Rule_of_least_power.
> Unfortunately, over the years, arXiv has become something like a "venue" in its own right, particularly in ML, with some decently cited papers never formally published and "preprints" being cited left and right. Consider the impression you get when seeing a reference to an arXiv preprint vs. a link to an author's institutional website.
This just isn't true. arXiv is not a venue. There's no place that gives you credit for arXiv papers. No one cares if you cite an arXiv paper or some random website. The vast vast majority of papers that have any kind of attention or citations are published in another venue.
My observation is that research, especially in AI has left universities, which are now focusing their research to a lesser degree on STEM. It appears research is now done by companies like Meta, OpenAI, Anthropic, Tencent, Alibaba, among many others.
I came here to say something similar. As someone who works in a field that applies machine learning but is not purely focused on it, I interact with people who think that arXiv is the only relevant platform and that they don't need to submit their work to any journal, as well as people who still think that preprints don't count at all and that data isn't published until it's printed in an academic journal. It can feel like a clash of worlds.
I think both sides could learn from the other. In the case of ML, I understand the desire to move fast and that average time to publication of 250-300 days in some of the top-tier journals can feel like an unnecessary burden. But having been on both sides of peer review, there is value to the system and it has made for better work.
Not doing any of it follows the same spirit as not benchmarking your approach against more than maybe one alternative and that already as an after-thought. Or benchmaxxing but not exploring the actual real-world consequences, time and cost trade offs, etc.
Now, is academic publishing perfect? Of course not, very very far from it. It desperately needs to be reformed to keep it economically accessible, time efficient for both authors, editors and peer reviewers and to prevent the "hot topic of the day" from dominating journals and making sure that peer review aligns with the needs of the community and actually improves the quality of the work, rather than having "malicious peer review" to get some citations or pet peeves in.
Given the power that the ML field holds and the interesting experiments with open review, I would wish for the field to engage more with the scientific system at large and perhaps try to drive reforms and improve it, rather than completely abandoning it and treating a PDF hosting service as a journal (ofc, preprints would still be desirable and are important, but they can not carry the entire field alone).