Don’t compilers have some guarantee of behaviours? I.e even if you don’t know exactly what instructions and order the compiler generates there is a guarantee that it is computationally/mathematically equivalent to the statements you wrote. Otherwise it would be a pretty terrible compiler. That’s a pretty big jump to writing instructions you don’t understand, since LLMs can’t make the same guarantees about a prompt/request.

Probably the desktop tower. I’ve seen many people call it a hard drive, but I’m actually not sure how common it is to have speakers in the tower.

Did they use LLMs? It’s not mentioned in the article.

Isn’t this all distros? I’ve heard arguments that the only defining feature of a distro is the package manager, as you can install and configure software packages identically. E.g you can make Kali from Debian, just from some settings changes and installing some packages.

Currently yes. I think they have some builds for desktop, but it’s still early in development.

“If they had restricted it to only open-source local models”

Is this even remotely enforceable? Stylometry can pretty effectively determine between AI and human written text ( not sure about code specifically since those are much stricter languages), but can it tell the difference between models or even if the LLM was run locally? (almost certainly not in the latter case).

OS maintenance, like Debian, is tons of tedious busywork, most of it is quite literally just pulling from upstream packages, making sure there is no conflicts or certain types of labeled bugs, and that it meets the licencing and policy standards. So long as they are checking the code, I could see open-source projects benefiting substantially from LLM usage. The one thing that FOSS projects have is a lack of manpower.

I don’t know how to break this to people but the vast majority of coding is boilerplate projects to solve trivial problems. Those jobs are disappearing (and have for years), what still exists is applying rigourous methods of computer science to solve specialised problems.