I agree with part of this (see my comment above). That said our limitations were also how we produced mathematics. Categorizing world into fixed concepts is valuable i'd say.
Which is the reverse of how humans design things, layers, modules. LLMs act as generalized compilers. Impressive but at the same time you end up with a static-like bunch of files instead of a system of parts (that said I'm not a great user of llms so maybe people managed to produce proto-frameworks with them, or maybe that will be the next phase.. module-oriented llm training).
I was wondering if our goal is to leverage them to think about interfaces a bit, like a slightly accelerated modeling phase and then let them loose on the implementation (and maybe later let them loose on local optimization tricks)
There's various degrees of understanding, for instance as a web dev, you know the browser, the osi network stack.. (in theory, there are a lot of tweaks) then maybe the electronics.. but the radio / wireless part is another world in itself with a totally different mindset (analog waves) which make the rabbithole way too long (and wide.. radio is a big world on its own)
Well, pixels on a screen are a totally different mindset from network protocols or program control flow, but nobody’s surprised when one person can work within all of those. Brains are big. So yeah, it’s just a matter of degree. (It’s the T-shaped vs I-shaped career thing.)
at least to me, I could learn most layers in a computer without choking completely. whenever i tried reading radio engineering i was drowning right away
Isn't that similar to the FSD issues where people cannot engage deeply enough because it's "FSD" but they still have to switch back a little, and sometimes go into crisis to avoid a wreck ?
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