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Cake day: June 20th, 2023

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  • trougnouf@lemmy.worldtoLinux@lemmy.ml•Why not LLMs?
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    3 days ago

    Putting “AI functionality”, i.e. the denoising models I developed that are included in Darktable in the same realm as LLM slop is an interesting choice.

    I collected all of the training data myself and did all of the training on a university GPU (which is consumer grade, I plan on continuing the work on my own machine). Everything is open (research, data, code) and reproducible.

    I’m curious what’s the ethical or other issue there.

    Edit: I posted a discussion on their issue tracker: https://codeberg.org/ethical-foss/open-slopware/issues/1628 , of course it was closed right away and I was blocked from the repository and my response was deleted and they limited responses to contributors-only.

    Looks like ethical AI is too sensitive of a subject for ethical-foss-admin.



  • Dealing with multiple computers is a pain (slow boot time and/or more power consumption and multiplied effort) and more expensive in most cases (you still need the minimum requirements of each part, but now there’s the rest of the each PC to get too).

    I did it for power consumption; one small low power computer that’s on 24/7 for NAS + providing some services like home assistant, and a powerful computer for gaming, photo development, etc. I ended up being too lazy to boot up the powerful computer most of the time so I was doing less of what I like to do with it and my time spent on the computer was slower. I switched back to one do-it-all computer and I’m much happier.

    The only reason I would want a multi-systems setup is if I need to run some things in the background that would make the computer unresponsive or unusable for some interactive tasks (e.g. local AI inference or training, video transcoding, heavy data transfers, …).