Most more advanced pdf handling tools I’ve used on linux were cli based.

Not ideal.

Were I responsible, I think I might look into creating a self-contained executable, wine wrapper and all, for whatever windows editor ends up being used. That way IT can forget about setting up wine on each machine, and just ship the whole thing ready to run. For updates, just rebuild the executable with the new exe or wine version.

PDF is such a mess of a format, feature complete “editors” are few even on windows, and essentially a giant collection of hacks around the limitations and features of the format. I’m not aware of anything linux native that’s even close to parity.

Too true.

Gowron?

Ah. So this is the competitive ranked sex I’ve been hearing about?

Sorry, I must’ve misremembered about systemd. It’s how my installs start up, and the unit file is not in the usual location for systemd units I’ve created myself, so my assumption was it came with Kopia. There is no systemd timer though, and one isn’t needed.

Edit: Just confirmed no systemd file came with kopia on my system either, my mistake.

in the past week, it did not backup anything. Hence, there is no scheduler built into kopia automagically as described/ hinted in the docs.

Was Kopia running during that time?

If you run a Kopia command, then it will perform the instructed task, and then exit. It will obviously not do anything after completing whatever command was given, as the process will have exited, leaving no kopia process running on the system. This is for when you use it in cron or your own scripts.

The other way of doing things is to run it in server mode kopia server start, which will set it running as a background daemon. When running, it allows you to log into the web interface or configure it via cli to do whatever you like. And as long as the process starts along with the host system, that’s all there is to it.

How the daemon is set up to start, doesn’t really matter.

My current setup, is as follows:

Personally curated music I buy and organize using Picard into folder A.

Lidarr is configured with folder C, which is a mergerfs volume consisting of folder A and B. Folder A is read-only, and any writes on C go into folder B. This way Lidarr can “see” all my existing music, while any automated downloads go into folder B, keeping them separate from my organized files.

Lidarr actually works, because it is hooked up to Soulseek using Tubifarry with ytdl as a fallback. I also have an import list hooked up to my last.fm recommendations to automatically download new stuff I might like.

When I feel like it, I go through folder B using Picard, moving things I want to keep into folder A.

To access my music, I use Jellyfin, also through folder C. My clients are Feishin and Symfonium.

In Symfonium, I use smart playlists for discovery. These playlists populate based on stuff like “unlistened tracks” or “multiple plays without being favorited” and “recently added from favorited artists”.

My favorite feature however is the tag-based endless playback which allows me to pick a track to start with, and then swipe through music with at least some kind of logic to the progression. This is my main way to browse my library.

It works extremely well, with the exception of files that don’t contain many tags. Hence my main pursuit has been to find a good way too add at least some genre tags to ALL my files. I haven’t found a final solution.

For iOS support, look at Navidrome for the server and maybe SubStreamer for the client.

It is.

If you’re on cachy you should be able apply any relevant changes same as arch.

But if I’m reading the wiki right, you should already be good to go, provided you’re on a DE that supports HDR.

https://wiki.archlinux.org/title/HDR

Arch wiki says NVIDIA should now work, too.

As of Mesa 25 it should just work. Even if you’re on a distro that doesn’t have it working yet, seems HDR on NVIDIA is not far off, and can be made to work right now if you know how with arch.

For my setup, I literally just enable the setting in the KDE display settings.

My screen only does HDR600, but it does work.

It looks a little nicer than with it off, so I do keep it on. SDR content does not suffer.

I’m on KDE wayland with an AMD GPU.

She writes her erotic stories on her phone?

Pretty sure that’s what OP is doing, as they mention the Deck along with a kitchen chair.

If this form factor for ID isn’t well known enough for them to know about it, I doubt they received training on its existence.

Which means having this card will make them assume it’s fake by default. “That’s not what a US passport looks like!” Thereby increasing their deluded suspicions, rather than reducing them.

Like you said, it might be impossible to avoid ascribing things like intentionality to it

That’s not what I meant. When you say “it makes stuff up” you are describing how the model statistically predicts the expected output.

You know that. I know that.

That’s the asterisk. The more in-depth explanation a lot of people won’t bother getting far enough to learn about. Someone who doesn’t read that far into it, can read that same phrase and assume that we’re discussing what type of personality LLMs exhibit, that they are “liars”. But they’d be wrong. Neither of us is attributing intention to it or discussing what kind of “person” it is, in reality we’re referring to the fact that it’s “just” a really complex probability engine that can’t “know” anything.

No matter what word we use, if it is pre-existing, it will come with pre-existing meanings that are kinda right, but also not quite, requiring that everyone involved in a discussion know things that won’t be explained every time a term or phrase is used.

The language isn’t “inaccurate” between you and me because you and I know the technical definition, and therefore what aspect of LLMs is being discussed.

Terminology that is “accurate” without this context does not and cannot exist, short of coming up with completely new words.

Yes.

Who are you trying to convince?

What AI is doing is making things up.

This language also credits LLMs with an implied ability to think they don’t have.

My point is we literally can’t describe their behaviour without using language that makes it seems like they do more than they do.

So we’re just going to have to accept that discussing it will have to come with a bunch of asterisks a lot of people are going to ignore. And which many will actively try to hide in an effort to hype up the possibility that this tech is a stepping stone to AGI.

Obviusly.

And like hallucinations, it’s undesired behavior that proponents off LLMs will need to “fix” (a practical impossibility as far as I’m concerned, like unbaking a cake).

But how would you use words to explain the phenomenon?

“LLMs hallucinate and lie” is probably the shortest description that most people will be able to grasp.

Yup. The way the article titled itself isn’t helping.

Fun fact, you can felt dog hair but not cat hair

You can absolutely felt cat hair.

I don’t even need needles to get my cats fur to solidify into a ball, I just massage a bunch of it like a snowball.

Seems like it’s a technical term, a bit like “hallucination”.

It refers to when an LLM will in some way try to deceive or manipulate the user interacting with it.

There’s hallucination, when a model “genuinely” claims something untrue is true.

This is about how a model might lie, even though the “chain of thought” shows it “knows” better.

It’s just yet another reason the output of LLMs are suspect and unreliable.

Triple AAA, maybe.

Indie Studios have genuine fans, who don’t need the latest GPU, CPU and RAM to keep buying their games.

The gems aren’t hard to find. Good games have fans singing them praises from the rooftops.

I could give you an almost endless list if you asked for good games, and they wouldn’t all be old.

I’m referencing this.

I’m antitheist, personally.