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Cake day: February 7th, 2025

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  • pyr0ball@lemmy.dbzer0.comtolinuxmemes@lemmy.world•Linux tips
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    29 days ago

    It was definitely a steeper learning curve than it is today, especially wrangling drivers for audio and Wi-Fi.

    Depending on your hardware steam OS might actually be a better fit if you’re willing to do a little tweaking, because of the gaming mode. I find I really enjoy having the ability to switch to a desktop experience when I want it, but dedicate all the system resources when I’m gaming. Really makes a huge difference in performance.

    I’ve also been reliably informed that CachyOS is also reliably good as a gaming distro.

    All that being said and to your question specifically: there’s a few resources online like the wine community and gamingonlinux that compile compatibility lists and instructions on how to get things working, but lutris is probably the easiest to use and check.

    This is the game I’m decompiling

    And the repo: https://git.circuitforge.tech/pyr0ball/havoc-remaster/src/branch/main/dev


  • pyr0ball@lemmy.dbzer0.comtolinuxmemes@lemmy.world•Linux tips
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    1 month ago

    Oh I’ve been self-hosting since 2009, switched to Linux in 2011, finally ditched Windows as a daily driver last year when I picked up a Legion Go and got it loaded up with steam OS.

    I’ve distro-hopped quite a lot between then and now, but funny enough I ended up landing where I started when recommending a newbie friendly distro: mint with kde plasma. That’s my desktop daily driver now. I’ve tried bleeding edge in many different flavors and always end up finding I can start from a stable baseline and customize the kernel and modules as needed. Now I’ve got all my favorite emulators and recompiled games working flawlessly, and I’ve started working on a decomp of my own for an old Windows 98 game. I’ve already successfully ported it and fixed a few runtime bugs, trying to get it fully stable before I start remastering it in godot.

    Server-side, I tend to stick with either Debian or Rocky and build on top of those.








  • LLM and VLM are generally the type of model that needs a ton of resources to run. Birdnet uses an audio classification model, but there are dozens of types of models.

    I’m building specialized task-focused pipelines which keep the memory footprint small for self-hosted users, and I’m working on a unified framework too make building other pipelines and applications much easier: https://docs.circuitforge.tech/

    If you give me some details on what you’re after I might be able to find you some projects or at least clarify keywords

    Edit: an example of how efficient these can get, I have a little ESP32-driven waveshare display running an ONNX wake-word detection model which is absolutely nuts. 4mb psram and a dual-core 240mhz cpu and its only job is handling “hey Mycroft” and establishing a proper speech-to-text connection with my server downstairs