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Comment by vatys | Hacker News Reader

I wonder if the next generation of experts will be held back by use of AI tools. Having learned things “the hard way” without AI tools may allow better judgement of these semi-reliable outputs. A younger generation growing up in this era would not yet have that experience and may be more accepting of AI generated results.

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> Having learned things “the hard way” without AI tools may allow better judgement

I see a parallel in how web search replaced other skills like finding information in physical libraries. We might not do research the old way, but we learned new tricks for the new tools. We know when to rely on them and how much, how to tell useful from garbage. We don't write by hand much, do computation in our heads much, but we type and compute more.

I'm pretty sure people said the same thing about compilers.

That's how progress works. Clever people will still be clever, but maybe about slightly different things.

Pretty sure people say the same thing about compilers even today. They insist of using interpreters instead of compilers.

Exactly agree - as the author of the paper fears there will be overreliance of AI

Yeah, as a cs student, some professors allow use of LLM's because it is what will be a part of the job going forward. I get that, and I use them for learning, as opposed to internet searches, but I still manually write my code and fully understand it, cause I don't wanna miss out on those lessons. Otherwise I might not be able to verify an LLM's output.

Excellent approach. You will be leagues ahead of someone who relies on LLM alone.

Yeah. My favorite professor this semester constantly says "hey, if you rely to much on the robot, and can't do this yourself, you won't get a job." I know some people are just here for the paper, but that makes me feel better when I'm having a hard time finding a new role..

Reminds me of the "Learn X the Hard Way" series, distributed as PDF I think, on the idea that if there's code samples you should transcribe them by hand because the act of transcribing matters.

Maybe that's an argument for simpler chat modalities over shared codepads, as forcing the human to assemble bits of code provided by the LLM helps keep the human in the driver's seat.

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