I push back on this idea hard. There's some things I consider not worth my time since an LLM will always be available to do it for me. But a whole lot of things you can learn far better with a LLM than almost anywhere else.

Been learning Linux, how to build a homelab, and quite a few other related topics since about chatgpt 3.5. If the LLM went away tomorrow I'd still know how to do most things in Linux, set up my opnsense router, reinstall xcp-ng, do everything in docker, and a boatload of other things that would've been so much more tedious to learn before an LLM. Simplicity of access to knowledge doesn't mean you don't learn it. A google search didn't make us learn slower than when we had to scour for books at the library, it increased the pace dramatically. Same goes for LLMs.

You can use LLMs and learn nothing. People who like to learn won't ever use it that way.

▲

literalAardvark an hour ago | parent [-]

> Simplicity of access to knowledge doesn't mean you don't learn it

Except that it does, learning is mediated by _effort_.

Was it hard? Then what did you gain by using AI?

Was it easy? Then you didn't learn

	▲	lordnacho 42 minutes ago \| parent [-]
		It's not as simple as that. If you're building a home lab, you might just give up because you are tired of searching for Cisco router syntax. LLM can be the little bit of lube you need to understand things at a higher level, because the tedious things are not as bad as they used to be. You then end up actually getting a few things in your lab to work correctly, get a confidence boost, and follow up with some searches about how routing actually works and why the syntax is the way it is.