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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/)HA
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2 yr. ago

  • Some of these are going to be a bit of a challenge, but let's put down some keywords you can look into.

    1. Airsonic or jellyfin in a docker container
      • I also recommend a container with lidarr etc. and a qbitorrent locked into a VPN
      • smart playlists may take some playing around with, however playlists are just a text file, so in a pinch a python script will do basic things.
    2. This one's easy, I use rsync / unison with termux, there's also syncthing.
      • No clue with Apple. Jellyfin and airsonic stream well to it though
    3. Nope, if this is a deal breaker, stop now. If your flexible however:
      • Excel: python, Jupyter, R and libre Office
        • Rmarkdown will produce reports
      • OneNote: Joplin, Obsidian, Dokuwiki, tiddlywiki etc (see r/pkms on Reddit)
      • Word: markdown with vim, vscode Emacs and then pandoc
    4. Immich, shotwell, F-spot photoprism and I think there's another KDE tool that has AI
      • I'm very happy with immich, it does require docker, which is worth it imo.
    5. Scanners do work, but I don't know how you'll connect it with Evernote.
  • Self hosting is your pathway to a tech background.

    University for comp sci, in my experience around the space, is a complete waste of time. Just a piece of paper that may or may not equip the recipient with some skills that may or may not be relevant.

  • All good man.

    I think the point is that LLMs can replace people and they are quite good.

    But they absolutely shouldn't replace people, yet, or possibly ever.

    But that's what's happening and it's a massive problem because it's leading to mediocre code in important spaces.

  • The code was non trivial and relatively sophisticated. It performed statistical analysis on ingested data and the approach taken was statistically sound.

    I was replaced by that. So was my colleague.

    The job market is exceptionally tough right now and a large part of that is certainly llms.

    I think taking people with statistical training out of the equation is quite dangerous, but it's happening. In my area, everybody doing applied mathematics, statistics or analysis has been laid off.

    In saying that, the produced program was quite good.

  • My last employer had many internal tools that were fine.

    They had only a moderate amount of oversight.

    I had to find a new job, I'm actually thinking of walking away from software development now that there are so few jobs :(

    It sucks but there's no sense pretending this won't have a large impact on the job landscape.

  • Depends on the use case. Training local llms is a lot cheaper after Galore and there are ways to get useful local models with only a moderate amount of effort, see e.g. augmentoolkit.

    This may or may not be practical in many use cases.

    24 months is pretty generous but no doubt there will be significantly less demand for junior developers in the near future.

  • Well that's good to know because I had some terrible luck with it about a decade ago. Although I don't think I would go back to windows, I just don't need it for work anymore and it's become far too complex.

    I've also had pretty bad luck with BTRFS though, although it seems to have improved a lot in the past 3 years that I've been using it.

    ZFS would be good but having to rebuild the kernel module is a pain in the ass because when it fails to build you're unbootable (on root). I also don't like how clones are dependant on parents, requires a lot of forethought when you're trying to create a reproducible build on eg Gentoo.

  • I gotcha:

    • Btrfs
      • BTree File System
        • A Copy on White file system that supports snapshots, supported mostly by
    • ZFS
      • Zetabyte File System
        • Copy on Write File System. Less flexible than BTRFS but generally more robust and stable. Better compression in my experience than BTRFS. Out of Kernel Linux support and native FreeBSD.
    • HFS+
      • what Mac uses, I have no clue about this. some Copy on Write stuff.
    • NTFS
      • Windows File System
      • From what I know, no compression or COW
      • In my experience less stable than ext4/ZFS but maybe it's better nowadays.