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Well just know you're not alone. I hope you got out without killing your passions.

Fwiw, I intend to lead by example. I love researching. I have a long term internship where I even do research (unfortunately not closely tied to my PhD work lol). But since I read math books and research as a hobby, I intend to simply do what I call for (in other comments) and just post to GitHub + Openreview + Arxiv and call it a fucking day. I hope to get others to join me in this paradigm shift. We all fucking rely on arxiv anyways and I'm pretty sure more of us find works via twitter/google scholar/semantic scholar/word of mouth more than we find works via journal/conference listings (twitter post of "just got accepted" counts as former, not latter).

I'm not so sure we need "disruption" as much as we need to just cut off the fucking leeches. The problem was turning school into a business. Thinking that profits align with education of students. But we have no strong evidence that higher ranked schools produce higher quality students, but rather only better connected ones.

Idk, maybe the private sector can disrupt it. But they'd have to perform a pretty similar feat, though there is a monetary benefit. Because the world is disillusioned that Stanford students are substantially better than Boston College students, you can pay the BC student less. In fact, many places do, but the issue is Stanford has a huge fucking media arm so we don't hear about that. They can also stop using number of papers as criteria but rather quality of papers (i.e. use domain experts to hire domain experts. Novel idea, I know...)

I'm just shooting in the dark here. I'd actually like to hear other peoples suggestions. Even if we're just spitballing at this point (I don't think anyone has strong solutions yet, that's okay), we just need to get the ball rolling at this point instead of talking about what a ball's relationship to an apple or the sour more rounder apples that are orange.




I got lucky: I never went in. My family more or less imploded in the middle of my highschool track and I went to work instead and that put me on a faster road to a lot of interaction with the computers of the day than school would have given me and that led to an interesting career. If that hadn't happened I may well have ended up in academia and I somehow feel I dodged a bullet there because my ideas of what university was like at the time seem to have very much been informed by pink glasses and meeting the occasional very interesting person who was part of the academic world.


Don't get me wrong, there is a lot I like about academia. Honestly, there hasn't been any other point of time in my life that I've been able to dedicate so much of my time to learning and researching. Even as I'm in a long term internship, that freedom is slipping away. Academia is supposed to be about protecting that freedom to explore and learn, but simply too much bullshit took over. Bureaucrats love metrics regardless of the value of those metrics. Maybe I wouldn't feel as disenfranchised if I wasn't in the fast moving world of ML with where peer review is like playing a slot machine except bigger schools and big labs get access to slot machines with higher payout rates (I see no quality difference between works from different institutions, rather the arxiv wave primes reviewers or language/proprietary {models,datasets} also prime reviewers).

I actually want people to feel disenfranchised at this point though. Because if there's anything I've learned, it's that we don't fix things before they break or even when they are noticeably broken. Rather we fix things when they're so broken that they're unusable, and typically only fix to minimal usability. Which is such a waste of resources. Maintenance is far cheaper.




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