"in the 1920s and 1930s, to be able to drive a car you needed to understand things like spark advance, and you needed to know how to be able to refill the radiator halfway through your trip" A car still feels weirdly grounded in reality though, and the abstractions needed to understand it aren't too removed from nature (metal gets mined from rocks, forged into engine, engine blows up gasoline, radiator cools engine).…
Is learning to drive stick as out dated as learning how to do spark advance on a Model T? Do I just give in and accept that all of my future cars, and all the cars for my kids are just going to be automatic? When I was learning to drive, I had to understand how to prime the carburetor to start my dad's Jeep. But I only ever owned fuel injected cars, so that's a "skill" I never needed in real life.
It's the same angst I see in AI. Is typing code in the future going to be like owning a carbureted engine or manual transmission is now? Maybe? Likely? Do we want to hold on to the old way of doing things just because that's what we learned on and like?
Or is it just a new (and more abstracted) way of telling a computer what to do? I don't know.
Right now, I'm using AI like when I got my first automatic transmission. It does make things easier, but I still don't trust it and like to be in control because I'm better. But now automatics are better than even the best professional driver, so do I just accept it?
Technology progresses, at what point to we "accept it" and learn the new way? How much of holding on to the old way is just our "identity".
I don't have answers, but I have been thinking about this a lot lately (both in cars for my kids, and computers for my job).