There are appropriate and legitimate use cases for AI, especially when locally hosted. Tech/programming is one of the few. The problem is when its shoved in everyones face for everything and all the data goes to tech conglomerates
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.
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.
There are appropriate and legitimate use cases for AI, especially when locally hosted. Tech/programming is one of the few. The problem is when its shoved in everyones face for everything and all the data goes to tech conglomerates
agreed, or even using something like Adobe Firefly.(it only trains on Public domain images)
I rly? Hm
atleast it claims its “Ethical” by only training on public domain images.
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.
Locating bugs is one of the most important tasks in programming, and if devs can’t do that, not are willing to learn to do so, they are fucked.
There’s no other way of saying it. Can’t wait for the AI bubble to pop.
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.