Just because a calculator will only ever be used by a subset of the population to type 80085 and giggle, doesn't mean it can't also be used for complex calculations.

AI is a tool that can accelerate learning, or severely inhibit it. I do think the tooling is going to continue to make it easier and easier to get good output without knowing what you're doing, though.

I am sure this is true. On the flip side, as someone who is addicted to learning, I've been finding LLMs to be amazing at feeding my addiction. :)

Some recent examples:

* foreign languages ("explain the difference between these two words that have the same English translation", "here's a photo of a mock German exam paper and here is my written answer - mark it & show how I could have done better")

* domains that I'm familiar with but might not know the exact commands off the top of my head (troubleshooting some ARP weirdness across a bunch of OSX/Linux/Windows boxes on an Omada network)

* learning basic skills in a new domain ("I'm building this thing out of 4mm mild steel - how do I go about choosing the right type of threading tap?", "what's the difference between Type B and Type F RCCB?")

Many of these can be easily answered with a web search, but the ability to ask follow-up questions has been a game changer.

I'd love to hear from other addicts - are there areas where LLMs have really accelerated your learning?

Exactly. I like to say that learning feels like frustration. If I'm right, then LLM's eliminate precisely the thing that is learning.