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I'm getting a lot of questions about KDE becoming an AI desktop that I feel like is answered by my "KDE is not becoming an AI desktop" video.
Might not be user-facing AI slop tools, but the code sure seems to be more and more AI LLM stuff:
https://discuss.kde.org/t/sorry-to-bring-up-a-contentious-topic-kde-ai-llm-policy/46333 (At least that's what the pushback from multiple contributors against the notion that perhaps LLM code shouldn't be fed into KDE, seems to suggest.)
a worthwhile read in regards to what pushing AI does to a contributor and a community: https://blog.fallible.net/it-breaks-a-village/
Thankfully the culture of Linux power users (I am not one) is firmly anti-AI. There are several reasons for this, and not all are altruistic, but it's the right approach to have. Dummies like me have to use it for commands, codes, and scripts, but I'm not going to be submitting ANYTHING to any kind of actual project, because I recognize my incompetence.
Ridiculous anti-AI hysteria is pushed by the AI companies themselves to make the anti-AI side look insane. Don't fall for it.
plus there is absolutely no way of knowing how many of the pro-AI voices are even real people
the hysteria is taking on a new life of its own and i guess it makes sense considering how people's materials conditions are being diminished on our education system as well as our media doesn't enable us to understand why or how.
I mean, I'm not sure the hysteria is completely unreasonable. AI does pose multiple legitimate threats and should be used responsibly, and not trusted with certain duties. We've also seen that the powers that be treat the world around them like a fratboy treats a drunken co-ed (it's meant to be disgusting), and that the constant growth demanded by the shareholders leaves no room for ethics, morals, or big-picture thinking.
I use AI. I also built my own for simple tasks. I've had a lot of experiences with AI at this point, and its generous to say the pros-cons are a wash. The use-cases I and most normies see is AI expediting an already blazing fast enshitification of everything around us.
I guess kde publicly addressing AI usage goes to show how much this fear has become mass hysteria
Actually happy with Umbriel + Noctalia. Last straw to KDE is I prefer QT over GTK.
Noctalia is vibe-coded.
Got some evidence for that?
Noctalia looks interesting. Never heard of it before. Unfortunately though there's no packages for Void Linux.
Just use i3 and not KDE lol
i3 is way too barebones. Also it's not as extensible as KDE. Also it's strictly tiling, while most ppl prefers stacking and/or floating WMs.
Also, it's tainted:
- https://github.com/i3/i3?tab=contributing-ov-file#ai-contribution-policy
- https://github.com/i3/i3/commit/8f09b7f04632a9b99f2a5f584401659589dd008e
- https://github.com/i3/i3/commit/9be3249ac5b377ed3270e36bca83df53d8023337
I compare the AI usage to digital photography: where a professional photographer learned how to develop a photo years ago, I assume this is just theoretical knowledge toady. Probably you will learn it in some kind of education but maybe 1 of 100 or even less will do so in practice today. Code might go a similar way - and my question is, whether it is important that humans understand code in a way they do today? In 50 years from now only 1 of 100 developers might be capable to write code, some more might be able to actually read it. But will it matter? Is it really necessary to write code by yourself if the machine eventually is better in most coding disciplines? If the models keep on getting better at coding, my assumption is: yes. Coding is an art not worth investing anymore because it is slow and imprecisecompared to anything what an AI agent will be capable of in the next decades.
@alex@eloquer.de Yes it matters for many reasons. First, neuronal networks degenerate without new input. And once they are trained on 99% LLM output, it just takes 10 generations to get garbage out on the level of a child's first words. That is especially true if future models are bound to one or two companies, because nobody else can pay the costs of development or the hardware to run on. That also causes heavily democratic issues. Furthermore the models will be manipulated more and more over time -> enshittification. How can you be sure that it creates the program you want without build-in tracking? And do we have 100% green energy in 50 years (which we require much earlier) or is LLM one of the reasons we could not reach it? In best case it is a bet that "everything will just go right", but the experience in tech with super scaled companies is more that everything will go wrong that could go wrong. What if one of the companies becomes so big, that one or two produce 95% of all software in the world via LLM? It is a highly political topic, not just for "is LLM output still FOSS compatible or not?" (which is not as far as the LLM itself is not 100% FOSS, which is far more than "open weight").
@half@makertube.net Maybe I was a bit "pessimistic" - your arguments are correct. But will it matter to all developers? My take is that there will be less programmers being capable to read and write code. It will be a skill necessary for some but not for all. This new profession might not be a programmer or developer, rather a "software builder" who knows just enough about technology to not produce too much of slop. Note that this is not what I want to happen, it is just what I assume, based on what I see in the industry and on my personal experiments and the way previous technological revolutions worked out and some fantasy. ;)
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