I for example, let the AI generate inbetween reports for a hobby project. These reports describe me how the project looks, stages, progress, etc.
I do know plenty about this particular project.
Also i wrote tons and tons of CRUD apps, do I really loose anything if that one quiz i did for learning, i don't understand in detail?
A more appropriate analogy for what you just described might be writing vs ghost writing.
But it's certainly not handwriting vs typewriter.
Note: there's no implied value judgement here.
My point is that the analogy that LLMs are equivalent to typewriters is fundamentally broken. Using an LLM to create text, and writing using writing tools, are simply completely different activities that just happen to lead to (at least superficially) the same outcomes.
Similarly, downloading a vase and 3D printing it isn't the same as making pottery. Programming a knitting machine to make socks for you isn't knitting. Putting text on paper using a printer isn't calligraphy.
And I'd argue we're going to collectively conclude that assembling software systems using AI isn't coding.
Again: no value judgement. But life isn't always just about outcomes. Process does, in fact, matter, and I think it's important we maintain these distinctions.
It's genuinely amazing and baffling to me that a non-trivial number of people around here don't seem to grok that.