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Joined 6 months ago
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Cake day: February 27th, 2024

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  • Honestly I’ve found the opposite of what you said, where on Debian based distros I commonly had to go to a project’s git repo and follow readme instructions to build when it wasn’t in an apt repository. Meanwhile on arch, the only thing you have to install manually is yay and then afterwards everything is in the AUR. Not saying that makes arch more user friendly than Debian (obviously), but that one aspect I do actually find easier on arch at least if you’re willing to use an AUR helper.




  • felsiq@lemmy.ziptoMemes@lemmy.mlAmd fan
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    10 days ago

    To put this into context, the zen5 X3D chips aren’t out yet so this isn’t really an apples to apples comparison between generations. Also, zen5 was heavily optimized for efficiency rather than speed - they’re only like 5% faster than zen4 (X series, not X3D ofc) last I saw but they do that at the zen3 TDPs, which is crazy impressive. I’m not disagreeing with you about the 7800X3D - I love that chip, it’s def a good one - just don’t want people to get the wrong idea about zen5.




  • Your build looks good (setting the ongoing intel issues that somebody else already mentioned aside), but personally I’d consider a different drive than the Samsung - it’s a great drive, but usually overpriced imo. If you can get it for a good price then absolutely go for it, but most times I find sn850x drives significantly cheaper and insignificantly slower. Otherwise, the only other note I’d make is that grub is abysmally slow at higher resolutions on chips with no igpu, at least when using a nvidia gpu. I’m not certain if this would apply to an AMD gpu, and either way you can just use something better (cough cough refind) to avoid the problem, but for anyone who just wants the default out-of-the-box bootloader on most distros to just work properly it might be worth spending the extra ~$40 for the K series instead of the KF to get the igpu. It’s not something I’d recommend doing personally, but it’s at least worthwhile to know about when you’re making the K/KF choice imo. Anyway, good luck with your build and have fun with setting everything up!







  • As much as I normally love and appreciate gender neutrality, I don’t think it belongs in a term like “gay” purely for clarity’s sake - words for sexualities are one of the only places gender actually matters in language imo. The word “gay” is the only popular term for men who like men that I’m aware of, and it’s already sometimes used as a bit of an umbrella term - I try to support all my siblings on the GSM, but sometimes I wanna be able to filter for things explicitly relevant to me the way nearly every other sexuality is able to. I’m aware it’s a very minor gripe and I’m not trying to gatekeep, but I’d personally prefer to see “queer” or another umbrella term used as a gender-neutral catch-all.

    Every non-sexuality-related term I’m with you 100%, someone’s femininity/masculinity/both/neither has no bearing and separate words aren’t needed; if I’m in a burning house I’ll be equally glad to see someone whether you call them a fireman, firewoman, or anything else. It’s just if I search for e.g. a gay novel, wanting characters I can directly relate to, I’m pretty invested in the relevant characters being men lol.




  • Whether or not you agree with AI image generation, the authors of this study have pulled off something impressive. This particular study isn’t going to be the single most important thing to humanity this year, sure, but they made a pretty clever stride in pushing a developing field forward and you don’t need to be excited about the field itself to appreciate that.
    I’m assuming your dislike for AI image generation is based on the plagiarism issue, which is absolutely valid, but model architecture is separate from training data and the concepts here are perfectly usable with a more moral training set. The companies scraping all the data - OpenAI, google, and to a much lesser extent stability AI - are the ones to blame for that problem, not researchers working on model architecture.



  • felsiq@lemmy.ziptoLinux@lemmy.mlNvidia to AMD
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    3 months ago

    I did a search for nvidia on my system and got these, which OP might wanna check for too:

    egl-wayland
    lib32-nvidia-utils
    libvdpau
    libxnvctrl
    nvidia-open
    nvidia-settings
    nvidia-utils
    opencl-nvidia 
    

    I’ve installed extra packages for proton and machine learning, so some of these may not be there, but hopefully that helps.