Not my experience either. I find it both verbose and obscure, in its comments or explanations. It also oftentimes assumes that I know what I don't and that I ignore what I actually know.
I'm not into bitcoins nor physical wallets, but I'm guessing those are not supposed to attach any gsm network ever.
Isn't that trivial to detect, even without opening a device, that something inside is attaching the gsm network? Those are pretty strong signals in a well defined tiny range of frequency, after all.
(Not so long ago you could hear them talk with the towers through regular home speakers.)
What is not satisfying at all with this analogy for me, are the sticky notes: a lot of intelligence has to be pushed into the sticky notes mechanism: How to know that there is enough of that molecule in and outside the cell, and on which gene to stick that note?? It feels like in order to sketch a simple portrait of the mechanism of the genes then all the magic have moved into the sticky notes.
Yet, it's the same media.
Sure, "the same media" is already something. I remember a supposedly no-strings attached phone company that you could only cancel with a plain old snail mail (that was in EU by the way, for those of you who believe EU is the paragon of consumer protection).
In my experience, it's more about "local" vs "large-scale" thinking. An LLM will be better at finding a bug that's "visible on screen" (or on the context window), whereas some design decisions that are hard to even put in words can be super important in practice (like, in C, how you manage the lifetimes of various objects, how you organise your threads and locks...) That's not purely "word manipulation", and there are not many good explanations of that on the internet, so it's understandably harder to learn for an LLM.
A bit like chess vs go.
They will get there quickly I'm sure. After all, AI beats us at go, too.
I believe both of you are telling the truth. Certainly, you are not thinking about the same kind of tasks. For the gap between hairy realtime concurrent system programming, where a bad design decision can be fatal, and the simplest over engineered CRUD where nothing really matters can accommodate and explain the gap in shared understanding of LLM abilities.
The employee invoked health concerns to reduce the frequency of those pictures (she has a condition that's triggered by stress, surveillance increases stress). She was working for Sutherland Healthcare, a healthcare service provider. I find it ironical, which just shows how naive I am, I guess.
I've been working on this industry for 3 decades. Work devices becoming standard to the point of seeming normal is one aspect of the industrialization of this job. I don't miss everything from the past era of craftsmanship, but I do miss working in a high trust environment.