this post was submitted on 20 Sep 2026
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Direct link to the LLM Policy Discussion: https://invent.kde.org/plasma/plasma-workspace/-/work_items/187

Example of a KDE dev not wanting environmental concerns to play any role, despite KDE having an environmental project:

Devs rejecting any notion of transparency by disclosing AI usage in code submissions (in direct opposition to advice from the FSFE):

And all of this is coming right after the debacle with an AI slop project being allowed to give a presentation at Akademy, and the person asking how this was allowed being blocked by KDE:

https://lemmy.nz/post/42029517

as well as the discussion thread bringing up legitimate concerns about AI usage being closed:

https://discuss.kde.org/t/sorry-to-bring-up-a-contentious-topic-kde-ai-llm-policy/46333/164

As someone who genuinely loves KDE, and has even donated to the project multiple times, I sadly have to accept that the majority of KDE have hopped onto the Pro-AI train, and they will not be dissuaded otherwise.

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[–] Aatube@lemmy.dbzer0.com 1 points 15 hours ago* (last edited 15 hours ago)
  1. I would indeed see a lot of benefits with only allowing self-hosted genAI. I wonder how practical it is to enforce that, and such a policy would IIRC be first of its kind, but I'd like to see it; I won't dispute this.
  2. those are about use of AI to replace critical thinking ( resulting in stagnating critical thinking, not coding. to show the point you want to make, you'd need to find a study about the effect of LLM use on code quality—not learning, code quality, since we're talking about seasoned KDE devs here.^[1]^
  3. I don't like this debate because "just a tool" is not a very defined phrase. How I see it, it means AI needs to be used carefully and using it lazily is misuse that results in dangerous things, but the term's also too often carelessly misused to mean very dangerous things (ironic?), so I see the reason in arguing against it and the meaningless derived from lack of agreed meaning. Let's just say it's powerful (💥) and call it a day.
  4. I would've said this was a good point a year or two ago. the legal environment is clearly not heading thataway (plus, politically, I don't think property should exist.)
  5. Combing through, identifying, and only copying public domain portions of the code is too much of a hassle that they'd use an LLM to do it. Public domain for everybody!

[1] I found https://link.springer.com/chapter/10.1007/978-3-031-83911-5_8 and https://link.springer.com/chapter/10.1007/978-3-031-90573-5_7. The first some seems awesome and finds that ChatGPT code for small, one-function–type tasks (somewhat more pragmatic than Leetcode but only somewhat) was better than human code from GitHub in aggregate. I would wait for more studies before going to conclusions. The second one says "delves into" in the abstract and has 32 pages so even though I'm guessing it wasn't AI-generated I ain't reading allatritenow