[jacquesm]

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.

[godelski]

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.