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Joined 1 year ago
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Cake day: January 24th, 2024

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  • Yeah i should know, but I’m too lazy haha. Didn’t lose anything completely irreplaceable but my beautiful bind9 local DNS zone written and annotated by hand is gone.

    Plus I have basically nowhere to back up to.

    At least the first thing I did when reinstalling Debian was set up an an rsync cron job to fetch the home, etc and some other select dirs, but this is backing up to a Raspberry Pi with a busted micro SD slot that runs off a rather dodgy USB enclosure’d 120 gig mSATA SSD that already failed before that originally transplanted from a busted MSI gaming laptop I sold for coke cash in the mid-2010s.

    Not ideal. That pi also periodically shits the bed. It’s exposed to the elements a bit because it’s also in use in 2 DIY iot projects.

    Is there a decent non-shit non-megacorp-empowering affordable way of doing off-site backups on a small scale?





  • I was recently playing Super Danganronpa 2, a Japanese animu game from 2010 that originally came out for the PSP and later Vita and was then ported to Windows.

    PC port from 2010 is enough to raise red flags, but Japanese PC port… Oof!

    The game luckily had no issues apart from cutscene lag spikes, which sucked, seems like decoding those was all on one core that would build up and eventually spike to 100% causing stutters.

    Well… somehow it just didn’t do that via Proton. It didn’t seem to matter if it was in gaming mode or desktop mode, via gamescope or just rawdogging in Xorg.

    All in 1440p.

    It. just. didnt. lag.

    Holy shit maybe it really is the year of the Linux gaming desktop methinks.



  • Not dev but I’m in IT/Cybersec mostly as it’s much easier to find jobs there and I use vim just about everywhere, usually with tmux and i3 with custom vim-like keybinds (super+j move focus right etc), I use vim even on my phone in termux, with gboard.

    I don’t use LSPs cause CBA but I only use Python and C and maybe occasionally bash for homelab stuff and I don’t have large projects (😭).

    If I’m doing any ML stuff from scratch (not refining or writing API for local llm model or integrating it with another API but just building classifiers etc) for fun I use Jupyter. Such a wildly different way of coding honestly ngl it’s wild, but great when you need to document what you’re doing.

    At uni I used to use fucking Visual Studio with C# and Netbeans with Java, but I learned it pretty well. I don’t think they ever even taught us how to run code outside those 😂

    At work I use gedit and gnome terminal for navigation cuz it’s company time unless I’m personally interested in what I’m doing.