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Turns out that majoring in gradient descent studies is a poor ersatz for a working knowledge of the history of AI progress, neuropsychology, developmental psychology, and mathematics
The key issue here is that AI related majors have been booming since 2014, by a large multiple, and they've been largely primed to believe "[SGD] is our answer, you don't need to know about anything else". That's intellectual blinkers, not an education
Yeah now AdamW is our answer and we don’t need to know about anything else
Studying more than just the deep learning literature.
Tell companies and universities to hire people with something more than gradient descent studies majors, then. Supply and demand is a very simple tool shaping human behavior for millennia: you demand sub-optimally, you’ll be supplied sub-optimally.
(demand, not supply, is the driver here because who has the power in this situation are the people hiring and paying... students and employees are forced to cater to whatever the people with power over their careers want)
Do you have some recommended books or resources that would help alleviate this issue?
This reads largely like a selection bias issue. I don't know if I have talked to a single person at my institution that would describe SGD as "the answer."
Is this a CS thing?
I think it is more a matter of a misnamed degree. Perhaps it would be better called a PhD in Gradient Descent.
I think the same can be said of most Computer Science undergrad programs more generally.
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