LLMs were, IMO, pushed out too early and without that clear "this is experimental tech" label. Full public access from day 1, no invite only betas, no research previews for a select few pilot customers/orgs, etc. I've been in IT for a little over 18 years now and I haven't seen anything move this fast before.
I mean, I never though I'd see Microsoft go on stage at BUILD and and announce freaking OpenClaw for Enterprise, and then make it available the same day. This is highly unstable tech and what I'd consider still experimental, being sold to F500s as production ready.
The only thing I can see them doing is removing technology altogether. People did just fine 100 years ago.
Want to learn to code? Use a Commodore 64. The company was purchased and rebooted the C64: https://commodore.net/
Perhaps this is rather a sign that you currently shouldn't jump on the LLM hype train, but rather attempt to get a good foundation on the basics. When the whole LLM area becomes much more "stabilized" (I see signs that this is currently happening, if only for the reason that training state of the art models has become more and more expensive), you can still get into LLMs if you want.
On the other hand I think there are real development gains in jumping on the train today. To my career's detriment.
Until that situation stabilizes I think the only institution capable of teaching about it is the family -- parents.
I don't believe them for one second, it's far from a solved problem yet these companies are selling this tech as if it's been around for decades and thoroughly battle tested instead of highly experimental and unstable.
Tristan Harris had some sort of comment like that on a podcast about the challenges posed by AI.