LLMs accelerate this and make it more visible, but they are not the cause. It is almost always a person trying to solve a problem and just not knowing what they don't know because they are learning as they go.
In this regard, I see LLM's as a way for us to way more efficiently encode, compress, convey and enable operational practice our combined learned experiences. What will be really exciting is watching what happens as LLM's simultaneously draw from and contribute to those learned experiences as we do; we don't need full AGI to sharply realize massive benefits from just rapidly, recursively enabling a new highly dynamic form of our knowledge sphere that drastically shortens the distance from knowledge to deeply-nuanced praxis.
Isn't that what "using an LLM" is supposed to solve in the first place?
2. LLMs are obsequious
3. Even if LLMs have access to a lot of knowledge they are very bad at contextualizing it and applying it practically
I'm sure you can think of many other reasons as well.
People who are driven to learn new things and to do things are going to use whatever is available to them in order to do it. They are going to get into trouble doing that more often than not, but they aren't going to stop. No is helping the situation by sneering at them -- they are used it to it, anyway.
I often have one agent/prompt where I build things but then I have another agent/prompt where their only job is to find codesmells, bad patterns, outdated libraries, and make issues or fix these problems.
Lol, who doesn't hate that?
But don't worry, those days are over, the LLMs it is never going to push back on your ideas.
But it's definitely the case that being able to go back and forth quickly with an LLM digging into my exact context, rather than dealing with the kind of judgy humorless attitude that was dominant on SO is hugely refreshing and way more productive!