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3 yr. ago

  • Re your update.

    My framework has been great, I’ve had no issues with it and I’m quite happy. Make sure to go with the matte screen though.

    In saying that, I think I was happier with my thinkpad, but I have no good scientific reason for that, I suspect the nipple and keyboard are a big part of it.

  • Framework and ThinkPad have both been a really positive experience.

  • Also, if it’s just the DE, install sway / i3 and try that for a week. If you liked that it’s on literally every Linux distribution, even the BSDs.

  • Go with EndeavourOS. It won’t “just work”, but it will be the best compromise between confusing abstraction and low level frustrations.

    Fedora is good but it abstracts a little too much away, this is great when you understand how software works, but it’s very confusing when you’re new to Linux and programming.

    Arch is good, but you won’t be able to hid the ground running, you’d have to sacrifice a weekend to learn.

    Go:

    1. [Optional] Fedora
    2. Endeavour
    3. Arch
    4. Learning
    • Ghost BSD
    • Void
    • Gentoo

    Tinkering with those in that order, after about 6 months, you’ll start to feel at home.

  • If and only if the trained model is accessible without licence.

    E.g. I don’t want Amazon rolling out a Ilm for $100 a month based on freely accessible tutorials written by small developers.

    But yeah duck copyright

  • Worth mentioning that one can use bubblewrap directly over chroot to get similar behaviour as well.

    It’s often simpler to use distrobox but being able to rsync chroot a between devices can be very convenient.

  • These comments often indicate a lack of understanding about ai.

    Ml algorithms have been in use for nearly 50 years. They certainly become much more common since about 2012, particularly with the development of CUDA, It’s not just some new trend or buzz word.

    Rather, what we starting to see are the fruits of our labour. There are so many really hard problems that just cannot be solved with deductive reasoning.

  • The mistral-7b is a good compromise of speed and intelligence. Grab it in a GPTQ 4bit.

  • If you can find a copy yeah. GNU sed isn’t written for windows but I’m sure you can find another version of sed that targets windows.

  • Oh no you need a 3060 at least :(

    Requires cuda. They’re essentially large mathematical equations that solve the probability of the next word.

    The equations are derived by trying different combinations of values until one works well. (This is the learning in machine learning). The trick is changing the numbers in a way that gets better each time (see e.g. gradient descent)

  • Many are close!

    In terms of usability though, they are better.

    For example, ask GPT4 for an example of cross site scripting in flask and you'll have an ethics discussion. Grab an uncensored model off HuggingFace you're off to the races

  • Cachy is a great live usb because it has zfs.

  • I enjoyed arch for how straight forward the install was.

    Gentoo however, every time I do that from scratch it’s with X, Westland is NetworkManager that give up (my recommendation is oddlamma installer)

  • It’s great but still really unstable. I’ll be sticking with Sway / DWM for a bit longer.

    However, it looks promising.

  • Similarly OpenSuse Aeon. A Benefit of Suse is the greater portability of the tooling.

  • Translation is very different from generation.

    As a matter of fact, even AI generation has different grades of quality.

    SEO garbage is certainly not the same as an article with AI generated components and very different from a translated article.

  • Well, no, neither approach is better than the other, it’s apples and oranges.

    There will always be a place for installing native applications. In the least analysis, the container itself should probably have some dependencies packaged for the target program.

    The benefits of containerisation are obvious, but it’s been a lot of work and there are still edge cases to iron out.

    FreeBSD has had jails since 2000. Linux, however, only got namespaces in 2008 and the first bubblewrap release on GitHub was 2016.

    I’ve been using chroots and containers for development for about 2 years now and it’s been fantastic, however, I’m still grateful I don’t have to jump inside one every time I need to write a python script.

  • The ZFS stuff was exciting! Are they still incorporating zfs in current releases though?