lobster_teapot

joined 1 year ago
[–] lobster_teapot@lemmy.blahaj.zone 6 points 6 months ago* (last edited 6 months ago) (1 children)

If you find yourself wanting to game on your distro again, layering nvidia drivers ontop of immutable fedora is do-able. If you want a more hands off approach you can use bazzite (https://bazzite.gg/), which has an nvidia compatible version and is just a kinoite-based OSI image with gaming oriented tweaks and extra apps.

You can even just rebase to it if you're already using kinoite (and rebase back to kinoite if you don't like it), no need to reinstall your system. The download page has a one-command exemple on how to do that.

[–] lobster_teapot@lemmy.blahaj.zone 2 points 8 months ago* (last edited 8 months ago) (1 children)

It's the long term support version of OpenSUSE that is binary compatible with the entreprise version provided by SUSE (SLES). Kind of the same relation between RHEL and CentOS (before the stream controversy).

In laymans terms it's a stable desktop and server linux disribution. But it's in a weird spot right now as OpenSUSE has stated that this will be the last major version following this release format. The next main OpenSUSE distro will be something based on modular imutable images.

Edit: Apparently there will also be a non-immutable version of Leap 16

[–] lobster_teapot@lemmy.blahaj.zone 2 points 10 months ago (2 children)

What software are you using? Is this some kind of jellyfin plugin so your users can request movies? 👀

[–] lobster_teapot@lemmy.blahaj.zone 2 points 1 year ago (1 children)

For pdf export, you can just org-export-to-pdf. In the background it translates your doc to a latex file and then compiles that (I know you stated you didn't lile tex, but in case you can bear a few command this is actually super useful as it gives you more control over the doc, you can just insert random latex part in your doc and it will handle them nicely). Same for publishers. You can just translate your file to tex and that will fit most of the publication processes. Otherwise you can just convert your doc to pretty much anything with pandoc (including .docx).

Keep in mind however that this is basically just saying: I like the idea of latex (fine granularity at compile time, raw text and reproducibility) but I prefer org markup for common marks like headers, bold and refs, and I like having a somewhat pretty editor. If your issue with latex is that writting and formating are not synchronous, than yeah this is not for you.

[–] lobster_teapot@lemmy.blahaj.zone 2 points 1 year ago (3 children)

Depends on what you're looking for. If you're deadset on wysiwyg editors, then yeah, onlyoffice is as good as it gets if you want to keep it foss and don't like libreoffice. Otherwise people seem to like the many scientific markdown editors. But honestly if you already know emacs then just... emacs. I'm in academia too and with the right set of packages it can fit an academic workflow pretty nicely. I write in org mode with org-superstar, olivetti mode to center text in org, varying fonts and font size for headers, citar for references (that syncs with a realtime bibtex export from my zotero library). With the added bonus of having all the usual goodness (magit, projectile, you name it).

[–] lobster_teapot@lemmy.blahaj.zone 23 points 1 year ago* (last edited 1 year ago)

It's spelled the same way but not pronounced the same way. Chat - the animal - is pronounced "sha" and Chat - the dialogue - is pronounced the english way (tchat). It's been used to refer to internet chat rooms since the 90s, the same way that a lot of english linguo is commonly used here to refer to web-related concepts

Edit: the GPT part however, is indeed very funny

 
 
[–] lobster_teapot@lemmy.blahaj.zone 15 points 1 year ago (1 children)

This is one of the worst case of tech dude tries to solve social sciences with math I've ever read. The paper is not just bad as a whole, it deliberately disregard 200 years of research in at least 3 different academic fields and instead quotes Borat.
And then goes on to gleefully describe how the authors made a giant machine to reproduce their own (dangerous) biases about the universality of emotion-voicing with just chat-GPT and a zero-shot classifier, would you look at that? Yay science I guess?