• 2 Posts
  • 93 Comments
Joined 3 years ago
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Cake day: July 2nd, 2023

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  • Tldr, I recommend sticking with Windows or using two separate machines, one for music production running Windows, the other for running everything else with Linux.

    Music production isnt great on Linux in my experience at least right now. If you use any paid plugins that are windows only, there’s a good chance they won’t run. I haven’t used ableton or cakewalk but I use reaper which has a native Linux version, and even that had a lot of issues. Anything with ilok is a no go, even plugins that dont, I had a hard time getting working or if they did work, they crashed A LOT.

    Gaming and other general use has been fine for me, ive even done video and photo editing on Linux and been happy with it.

    If you want the easiest experience, I typically recommend Fedora KDE spin or kubuntu. KDE is a desktop environment that is very similar to windows and highly customizable. You’d likely feel at home on it. Immutable distro might also be a good option if you really want the “IDC just do the update” path. Harder to break, easier to manage from what ive heard but I haven’t used them personally so maybe others that have can chime in.

    I made a windows only box for music production and use Linux on my main PC. It runs windows 10 and is rarely connected to the internet except when I need it to be. If you wanna run Linux and make music, it can be done, but I had a terrible time with it and have given up for now.

    So make a separate machine for music production and run Linux on your main pc or just run Windows is my advice. So far, this has been the best setup for me. I don’t worry about my privacy, I can make music when I want, and I don’t have to worry about incompatible plugins, crashes, stupid nonsense that gets in my way when i wanna make music.



  • Yea I’m aware but I appreciate the insight :) so far my local ai experience has been lack luster so I’m hoping that training and RAG will make up for the context size at least a little. Ifnit can answer accurately in the first place, it may not need as big of a context window.

    If you haven’t tried using RAG in some form, I would recommend giving it a go. Its pretty cool stuff, helps make models answer more accurately based on the documentation you give them though in my case, ive had limited success. Tbh, chatgpt has become my last resort when I just wanna get something done but I don’t like using it due to the privacy concerns, not to mention the ethical issues I have with ai training in general from big tech.

    How is searxng BTW? Would you say its good to host or do you use a normal search engine more often? Or do you just use it for the AI search plugin?

    Ive actually been thinking about using it rather than duckduckgo but was also hopeful the search index they are working on would be enough to satisfy my needs, or that a self hosted AI enabled search engine would work well enough when I need it.


  • Thats why i was considering training my own model if possible. Ive been toying around with kobold.CPP and gpt4all which both have RAG implementations.

    My idea is to essentially chat with documentation and as a separate use case, have it potentially be a AI search engine but locally hosted. I do still prefer to search myself, but fuck man, searches have gotten so bad, and the kobold.CPP web lookup feature was pretty neat IMO.

    So yea you’re not wrong, I’m just hoping that if in train it and or give it documentation it can reference when answering, it will be suitable. Mostly AI has been good for me as kind of a rubber ducky when troubleshooting and helping me search for things when I have some specific question and in don’t want “top 5 things vaguely related to your question” results.