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Joined 1 year ago
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Cake day: June 13th, 2023

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  • Garuda.

    I’d never used Arch or Arch derivatives but if this is the experience I understand the memes a little more.

    The package management is easy and very up to date. I like the BTRFS snapshots, and it had everything game-related available right out of the box. My Nvidia graphics card, which was the thing I couldn’t get working on Ubuntu, performed as well or better than under windows.

    The only thing that didn’t work for me was ZFS - but because everything else was working well, I just went another route.


  • Longtime every OS user. But have been using Linux since the days of Mandrake in ‘96. Switched to Debian shortly thereafter though mostly as a server/SDN device. Then a long spell on Ubuntu starting with 8.something. While I don’t use Linux on the desktop as my primary work OS, I do use it daily.

    Recently, annoyed with windows, which I only used/booted up for gaming, I gave gaming on Linux a try. It’s been mostly flawless even when the games aren’t Linux-native. Hilariously Ubuntu was awful and I couldn’t get it working so I’ve switched to something more gaming specific and couldn’t happier.



  • My advice: don’t change anything else right now.

    The temptation is high to pack it all in at once; make all the big changes.

    2 hours a day is a lot. Not too much, just a lot. So, since you asked, don’t change your diet yet. Get into the groove of building this new thing into some level of consistency. Once you’re 90 days in, start modifying something else. Diet. Sleep. Intensity.

    Work on one routine at a time.

    Now if you’re going too far into calorie deficit then you can think about what your energy needs are but keep the other changes to bare necessity.







  • Good enough? I mean it’s allowed. But it’s only good enough if a licensee decides your their goal is to make using the code they changed or added as hard as possible.

    Usually, the code was obtained through a VCS like GitHub or Gitlab and could easily be re-contributed with comments and documentation in an easy-to-process manner (like a merge or pull request). I’d argue not completing the loop the same way the code was obtained is hostile. A code equivalent of taking the time (or not) to put their shopping carts in the designated spots.

    Imagine the owner (original source code) making the source code available only via zip file, with no code comments or READMEs or developer documentation. When the tables are turned - very few would actually use the product or software.

    It’s a spirit vs. letter of the law thing. Unfortunately we don’t exist in a social construct that rewards good faith actors over bad ones at the moment.


  • As someone who worked at a business that transitioned to AGPL from a more permissive license, this is exactly right. Our software was almost always used in a SaaS setting, and so GPL provided little to no protection.

    To take it further, even under the AGPL, businesses can simply zip up their code and send it to the AGPL’ed software owner, so companies are free to be as hostile as possible (and some are) while staying within the legal framework of the license.





  • You’re conferring a level of agency where none exists.

    It appears to “understand.” It appears to be “knowledgeable. “

    But LLMs do neither of those things.

    Take this note from an OpenAI dev:

    It’s that these models have leveraged so much data they’ve been able to map out relationships between words (or images) in way as to be able to generate what seem like new versions of those things.

    I grant you that an LLM has more base level knowledge than any one human, but again this is thanks to terrifyingly large dataset and a design that means it can access this data reasonably reliably.

    But it is still a prediction model. It just has more context, better design and (most importantly) data to make predictions at a level never before seen.

    If you’ve ever had a chance to play with a model at level where you can control some of its basic parameters it offers a glimpse into just how much of a prediction machine it can be.

    My favourite game for a while was to give midjourney a wildly vague prompt but crank the chaos up to 100 (literally the chaos flag at the highest level) to see what kind of wild connections exist but are being filtered out during “normal” use.

    The same with the GPT-3.5 API in the “early days” - you could return multiple versions of the response and see the sausage being made to a very small degree.

    It doesn’t take away from the sense of magic using these tools. It just helps frame what’s going on under the hood.





  • I use Nextcloud. But that also means setting up and managing Nextcloud. By the same token you could use google drive.

    For notes and photos you can export them within the app. Notes specifically requires that you print and then hit the share on the print dialogue to save the notes to the file system as a pdf.

    Notes also has another option: if you have a non-Apple mail account on your phone - you can enable notes for that email account and simply move (or copy) your notes from one account to the other. The notes will then become available within that email account mailbox structure on any device or machine where that email account is enabled.

    For voice recordings you can save any voice recording directly to the iOS filesystem.

    The iOS files app also allows you to connect to any other server/desktop via SMB.

    There are lots of options here. None are awesome, but they work.