The “archaic devices” framing of the article seems questionable to me. I don’t think a device from around 9 years ago (Ryzen Gen 1) is archaic. While these are going to be low end now they often are still perfectly usable if they were somewhat higher end at the time. They don’t lack anything a modern system should need, which is easily proven by Linux running on them just fine.

LLMs can sometimes point out potential trouble spots, which is also one of the uses that may avoid injecting problematic code (if the LLM is prevented from suggesting a fix). But sadly, that doesn’t seem the type of use KDE is currently limiting themselves to.

Some of us respectfully disagree with LLMs for programming being “appropriate and legitimate”, at least if that involves generating code and not just locating bugs.

Local LLMs retain significant issues like the one shown in this clip: https://github.com/mastodon/mastodon/issues/38072#issuecomment-4105681567 Unless your model uses 100% properly licensed training data which no code LLM I have found appears to be doing.

Sadly, it seems like they’re going to be pro AI internally: https://discuss.kde.org/t/sorry-to-bring-up-a-contentious-topic-kde-ai-llm-policy/46333 (If you jump in to comment, please try to be constructive rather than full of rage.)

Not like the AfD is about to become the most popular party, it’s really very unlike ~1933 for sure, for sure. (/s)