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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/)IM
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2 yr. ago

    1. Due to the failings of the electoral college system, my state was almost guarenteed to vote the same way as it has for the last 30 years
    2. I did not strongly agree with either party/candidate
    3. I dispise the current two party system that both major parties are incentivized to maintain
    4. Voting for a third party who is incentivised to push for change via ranked voting and other methods does aid them even if they don't win

    If my state was likely to be contested, I may have voted differently. Voting for a third party in my case however had a greater impact than fighting or joining the tide of my state

  • Custom license that doesn't meet the FSF's definition. Tldr restrictions on redistribution and minor restrictions on modification. It isn't on fdroid's main, but they host a fdroid compatible one with a out of date version of Grayjay

  • I'm not an expert on btrfs, but I assume the inconsistencies come from deduplication, metadata, and maybe compression. I think some of them just count raw block storage, and some include the cost of metadata.

    Traditional du assumes that each file takes up it's full space on disk which isn't always the case on btrfs. When using btrfs backed oci images, storage can easily appear multiple times higher.

    I use btrfs filesystem usage /. I'm not sure that it is the "correct" way, but it works fairly well.

  • I run stable diffusion in a docker container. Most kernels ships the required drivers, and you can install the rocm libraries inside a docker container to keep them from poluting the host.

    Here's my docker image, feel free to take a look. I won't guarantee it'll work for you, but hopefully it will give you some hints in the right direction. https://codeberg.org/it-a-me/auto1111-webui_rocm

    1. Codeberg is fully open source(forgejo) while gitlab has an open source core+community edition but a source available propietary enterprize edition.
    2. Codeberg is a nonprofit with no ulterior motives. Gitlab is a publicly traded for profit entity with a goal to make profit
    3. This could just be me, but codeberg feels a lot more transparent. When they have outages, they explain why.
    4. Super minor, but the codeberg team "self-hosts" their own servers so you only need to trust the one entity rather than additionally trusting the server provider.
  • Primary code editor: helix

    Graphical debugger and certain IDE features: vscodium

    Lots of open source language servers: clangd, rust-analyzer, perl-navigator, ...

    Makefile to compile-comands.json: bear

    TUI file manager: yazi

    Better Grep:ripgrep

    Debugger: gdb(gnu debugger)

  • The main advantage of having a /home partition is that you can easily preserve it during reinstalls or during a distro hop. Reinstalls used to be more common in the past when some distros didn't allow full distro upgrades without reinstalling. See this result which is still ranked #1 on duckduckgo

    I personally use a @home btrfs subvolume which has most of the same advantages to me, and additionally allows @home and @root to share the same partition. It also allows me to use luks on everthing without bothering with lvm.

  • I also don't believe it's even fully source availiable. There are no build instructions, and you can't clone all the submodules without signing in to their closed application gitlab instance. If anyone has sucessfully built it from source, please lmk.

    Nevermind they did add build instructions since I last checked. Still lmk if anyone's tested them.

  • Section 4 is what gets me. Your rights are temporary and revokable meaning the the rest of the license doesn't matter in the long term

     
        
    ## Section 4: Termination, suspension and variation
    1. We may suspend, terminate or vary the terms of this license and any access to the code at any time, without notice, for any reason or no reason, in respect of any licensee, group of licensees or all licensees including as may be applicable any sub-licensees.
    
      
  • I may be missing something, but the only machine learning focused api I know of are AMD's ROCM, Nvidia's CUDA, and now Intel's oneAPI. I haven't looked into Apple's machine learning frameworks and I consider vulkan more of a general purpose api than a machine learning one.