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Joined 1 year ago
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Cake day: June 12th, 2023

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  • Agreed, custom aggregators for kbin and the fedverse in general, will become a thing.

    I can see a view that combines the hot posts from each of my subbed communities, with the top 1 or two posts from each featuring, filtering over a time constraint or some other ranking system.

    A client side implementation would be possible, but expensive in api calls. Server side should be easier. Maybe even defining a query language of sorts that can be user customised, if we wanted to be really fancy.

    Some form of weighted rank, combining activity and interaction. I am subbed to some slow communities that are just starting. Maybe having a post or two in 24 hours where I would want those posts to rank highest. Subbed fast paced communities would then rank lower if we factor frequency and interaction on a per community basis.





  • Agreed, I installed Ubuntu 22.04 last week to play with stable diffusion. Decided to have a quick look at steam / proton and was blown away with how easily it works. Fallput 76, my primary online game installed and run with almost no hassle. I even managed to get a long time irritation with runaway frame rates fixed.

    The only glitch that remains unsolved is a hang on exit. Which is a known issue.


  • There is an important distinction that we must make. Community vs application.

    My experience is like yours, made an account on lemmy, beehaw and here. When we saw the Reddit writing on the wall. The community here has been so much fun interacting with, that I have mostly stayed here.

    The software is in its infancy and that is exciting. Tricky and maybe a little unstable, but conceptually exactly what I have wanted for ages. It will get there eventually. Ernest and team has been doing a spectacular job keeping the loghts on.

    I expect that we will get many different aggregators for federated content as the platform matures.


  • This is a fact and a half. Ihave been using linux on and off for a headless Minecraft server. Vanilla Debian. Yesterday I decided to load up the latest Ubuntu lts, to run stable diffusion. My first end user linux install in ages. And it was a 15 minute seamless experience. From boot ISO to running a normal functioning desktop. Add another hoiur and stable diffusion was up and running. A far cry from building slackware from, from source, in the early 2000s. It truly is amazing when we consider what has been achieved.





  • Edit: Wrote this on mobile. The mobile U/I is not always clear as to the source magazine where the post came from, so I missed the Linux in there. Things are not as dire on Linux as on Windows for AMD, so my assessment may be a bit pessimistic. With AMD’s focus on the data centre for machine learning, the linux driver stack seems fairly well supported.

    I spent the last few days getting stable defusion and pytorch working on my Radeon 6800 XT in windows. The machineml distribution of stable diffusion runs at about 1/4 of the speed of raw rocm when I compare it to the shark tooling, which supports rocm via docker on windows.

    Expect tooling to be clinky and that you will need to compile everything yourself on linux. Prebuilt stuff will all be for Nvidia.

    Amd is pushing hard into the ai space, but aiming at datacenter users. They are rumoured to be building rocm for their windows drivers, but when that will ship is anyone’s guess.

    So right now, if you need to hit the ground running for your academic work, I would recommend NVidia, as much as it pains me, a long time AMD user.