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Joined 2 years ago
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Cake day: June 20th, 2023

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  • Dran@lemmy.worldtoLinux@lemmy.mlBeing Forced to Say Goodbye
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    16 days ago

    Depends on where you work and what their policies are. My work does have many strict policies on following licenses, protecting sensitive data, etc

    My solution was to MIT license and open source everything I write. It follows all policies while still giving me the flexibility to fork/share the code with any other institutions that want to run something similar.

    It also had the added benefit of forcing me to properly manage secrets, gitignores, etc




  • Dran@lemmy.worldtoLinux@lemmy.mlWhich distro?
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    6 months ago

    I run ubuntu’s server base headless install with a self-curated minimal set of gui packages on top of that (X11, awesome, pulse, thunar) but there’s no reason you couldn’t install kde with wayland. Building the system yourself gets you really far in the anti-bloatware dept, and the breadth of wiki/google/gpt based around Debian/Ubuntu means you can figure just about any issues out. I do this on a ~$200 eBay random old Dell + a 3050 6gb (slot power only).

    For lighter gaming I’ll use the Ubuntu PC directly, but for anything heavier I have a win11 PC in the basement that has no other task than to pipe steam over sunshine/moonlight

    It is the best of both worlds.


  • I think the debate is about what a reasonable class is. I don’t think that an appendage, or identity for that matter, is a reasonable proxy for capability class. In my mind you really have to go one of two ways.

    You either make everything class-less (think UFC 1) where all weights, sizes, abilities, genetics compete for a singular title

    Or

    You make science-based classes, based around whatever the best proxy for capabilities are (testosterone, chromosomes, height, weight, body fat percentage, some combination of the former, etc)

    If you use nothing as a proxy, there would be a lot of people unable to compete but it would at least be unequivocally “fair”. If you use science-based capability classes you would have a wider range of “fair-ish” competitions, but there might be some weird overlap where some men, some women, and those in-between bridge accepted norms.










  • It doesn’t need csam data for training, it just needs to know what a boob looks like, and what a child looks like. I run some sdxl-based models at home and I’ve observed it can be difficult to avoid more often than you’d think. There are keywords in porn that blend the lines across datasets (“teen”, “petite”, “young”, “small” etc). The word “girl” in particular I’ve found that if you add that to basically any porn prompt gives you a small chance of inadvertently creating the undesirable. You have to be really careful and use words like “woman”, “adult”, etc instead to convince your image model not to make things that look like children. If you’ve ever wondered why internet-based porn generators are on super heavy guardrails, this is why.