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Joined 3 years ago
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Cake day: June 11th, 2023

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  • I been using Arch for well over 5 years now I think, around whenever the RX 580 was released. Still using it. Only had like one major breakage due to not reading the arch news, and managed to easily recover with the skills I built by following a manual install (arch-chroot into an existing install from a live-usb to fix issue).


  • Wipe yourself down with 90% isopropyl. It kills the bacteria that makes the stench for a day or two, and wipes away any residual oils that might be rotting on your skin.

    Make sure you get the worst offending areas like your pits, the back and sides of your neck, your back, and downstairs.

    Be careful around the nether regions though, you are in for a very unpleasant burning sensation the more bacteria there is.

    But you will smell so much better (i.e. no odor) and it feels better too.









  • Semperverus@lemmy.worldtolinuxmemes@lemmy.worldGnome Slander
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    2 months ago

    None of this would be bad if the devs also didn’t think that they should be the default Linux desktop. It’s one thing having a constrictive desktop environment that forces you into its way of doing things. I can see that actually being useful in a corporate setting. But to borderline-force that on everyone by way of defaultism, especially those who don’t know better, is where it crosses a line.











  • Do you think it runs at 1000w continuously? On any decent GPU, the responses are nearly instantaneous to maybe a few seconds of runtime at maybe max GPU consumption.

    Compare that to playing a few hours of cyberpunk 2077 with raytracing and maxed out settings at 4k.

    Don’t get me wrong, there’s a lot to hate about AI/LLMs, but running one locally without data harvesting engines is pretty minimal. The creation of the larger models is where the consumption primarily comes in, and then the data centers that run them are servicing millions of inquiries a minute making the concentration of consumption at a single point significantly higher (plus they retrain the model there on current and user-fed data, including prompts, whereas your computer hosting ollama would not.)