Comment by augment_me
Comment by augment_me 2 days ago
Impossible requirement. The inherent quality of abstractions is to allow us to get more done without understanding everything. We dont write raw assembly for the same reason, you dont make fire by rubbing sticks, you dont go hunting for food in the woods, etc.
There is no need for the knowledge that you propose in a world where this is solved, you will achieve more goals by utilizing higher-level tools.
I get your point and this certainly applies to most modern computing where each new layer of abstraction becomes so solid and reliable that devs can usually afford to just build on top of it without worrying about how it works. I don’t believe this applies to modern AI/ML however. Knowing the chain rule, gradient descent and basic statistics IMO is not the same level of solid as other abstractions in computing. We can’t afford to not know these things. (At least not yet!)