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Cake day: July 5th, 2023

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  • Sparrow_1029@programming.dev
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    toPiracy@lemm.eeShare your setup
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    2 months ago

    I don’t remember exactly what’s in my old desktop that I converted (traveling and I still haven’t set up tailscale sadly), but it has

    • 1 6TB WD red for storage
    • some other number of drives also as lvs
    • 32GB RAM
    • an i5 (9th gen i think?)
    • An Nvidia 750Ti (lol)

    Then I’m only running

    • sonarr
    • radarr
    • prowlarr
    • flaresolverr
    • homepage.dev
    • qbittorrent
    • jellyfin

    as a docker compose project/system service on Debian server, and I have a Raspi4 running Kodi/OSMC with the jellyfin plugin for streaming to TV

    This was an old desktop I had laying around that was a hackintosh when I was doing digital art professionally, and I figured I’d toy with converting it. One day I’d like to get to a full-fledged setup like yours, but need time and $$










  • Am I one of the few who just doesn’t use AI at all? I don’t have to generate tons of code for work at the moment and brand new projects that I’ve been given are small–meaning I wouldn’t necessarily use it to generate starter boilerplate. I have coworkers that love copilot or spend much longer prompting ChatGPT than they would if they wrote code themselves. A majority of my time is spent modelling the problem, gathering rejuirements, researching others’ solutions online (likely this step could be better AI-assisted?), not actually implementing a solution in code.

    Anyway, I’m not super anti-AI in software development, and I see where it could be useful. Maybe it just isn’t for me yet. The current hype around it as well as the attitude of big-tech exceptionalism (“AI can salve all our problems”) feels a bit like a bubble, at least regarding the current generation of LLMs and ML