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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)N
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2 yr. ago

  • I used to use a variety. I’d use Arch on my desktop/gaming machine, Fedora on my laptop, and Debian on my server. But I got the NixOS bug a few years back and now I use that everywhere. It’s great to have every change and configuration documented and available for easy review or modification, and built in generation rollbacks are a lifesaver.

    Thinking of building an HTPC from some spare parts, and I think that’ll be the machine to buck the trend. Bazzite will be everything I need out of the box for that purpose without any effort for maintenance. It’s not getting customized or doing anything but games and media

  • Can also use mullvad’s DNS, it’s free

  • Great post, also I love your about page 🚩✊

  • Yalla

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  • It’s more akin to clicking on every ad you see on the web. Sure you might not get a virus from lots of them but the risk is real and it’s good practice to just not do that. It’s a real and frequently exploited attack vector, it’s just good practice for anybody with a semblance of concern about digital security

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  • There are tons of ways to exploit a computer via a flash drive like that. Lots of viruses exist that would immediately install themselves upon the drive getting recognized. Famously Iran had a nuclear power plant taken offline by a random flash drive somebody plugged in, but aside from state level threats they can also just steal your financial details and personal info

  • I exclusively use Matrix for social experiences. I’m in servers and group chats for clubs, communities, and even Lemmy instances. Works great

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  • Lmaoo, I see your name now you’re funny

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  • We still do research and have lots of work to do before a paper even begins lol

  • I’m the type of fish to brag about eating the bait

  • Yeah you’d really only say it on the theoretical side of things, I’ve definitely heard it in research and academia but even then people usually point to the particulars of their work first

  • It depends on the model but I’ve seen image generators range from 8.6 wH per image to over 100 wH per image. Parameter count and quantization make a huge difference there. Regardless, even at 10 wH per image that’s not nothing, especially given that most ML image generation workflows involve batch generation of 9 or 10 images. It’s several orders of magnitude less energy intensive than training and fine tuning, but it is not nothing by any means.

  • The training is a huge power sink, but so is inference (I.e. generating the images). You are absolutely spinning up a bunch of silicon that’s sucking back hundreds of watts with each image that’s output, on top of the impacts of training the model.

  • Haskell mentioned λ 💪 λ 💪 λ 💪 λ 💪 λ

  • I use pfetch-rs in new terminal sessions to add a little bit of decor. It doesn’t do anything but look nice, I just added some custom ascii art and it shows some specs

  • It was always just to save money and pad the profit margins