Pumpkin Escobar

Similar to previous reply about MATE with font size changes, I do that with plasma. I hadn’t seen plasma big screen you linked, I’ll definitely try that one out. I’ve wondered about https://en.m.wikipedia.org/wiki/Plasma_Mobile? Like these sort of niche projects don’t always get a lot of attention, if the bigscreen project doesn’t work out, I’d bet the plasma mobile project is fairly active and given the way it scales for displays might work really well on a tv

Speaking of scaling since you mentioned it. I have noticed scaling in general feels a lot better in Wayland. If you’d only tried it in X11 before, might want to see if Wayland works better for you.

surely he’ll be less of a twat then. right?

Lan-mouse looks great but keep in mind that there’s no network encryption right now. There is a GitHub ticket open and the developer seems eager to add encryption. It’s just worth understanding that all your keystrokes are going across the network unencrypted.

More than distro hopping maybe try out a zen kernel or compiling kernel yourself and changing kernel config and scheduler, or a newer version of the stock kernel?

I’m not super current on what’s in each kernel but I’d expect latest mainline to handle newer processors better than some of the older stable kernels in some of the more mainstream slower releasing distros.

Ran Asahi for several months, tried it out again recently. It’s good/fine, I just don’t love fedora.

There’s some funkiness with the more complicated install, the AI acceleration doesn’t work, no thunderbolt / docking station.

MacBooks are great hardware but I don’t think they’re the best option for Linux right now. If you’re never going to boot into macOS then I’d look for x13, new Qualcomm, isn’t there a framework arm64 option now or was that a RISC module?

I’m also assuming you’re not looking to do any gaming? Because gaming on ARM is not really a thing right now and doesn’t feel like it will be for a long while.

It’s not a cinematic masterpiece but it had a distinctive look and vibe with a cool soundtrack, interestingly strange plot. I saw it again a few years ago and remembered why I liked it as an angsty teen.

Really love arch and the AUR. I’ve been tempted to get nix set up for the rare cases when there’s no AUR package or the AUR package is unmaintained. I figure if there’s no package in the AUR or nixpkgs, it’s probably not worth running.

btop reports some gpu, network and disk information that I don’t think shows up in htop, feels a bit more comprehensive maybe? Both are fine, but I too use btop, it’s nice.

Random trivia: I think btop has been rewritten like 3-5 times now? It’s sort of an inside joke to the point that someone suggested another rewrite from C++ to Rust ( https://github.com/aristocratos/btop/issues/5 ). I guess the guy just likes writing system monitoring console apps.

I guess this solves part of the mystery about why the French rioted when they raised the retirement age last year

There’s quantization which basically compresses the model to use a smaller data type for each weight. Reduces memory requirements by half or even more.

There’s also airllm which loads a part of the model into RAM, runs those calculations, unloads that part, loads the next part, etc… It’s a nice option but the performance of all that loading/unloading is never going to be great, especially on a huge model like llama 405b

Then there are some neat projects to distribute models across multiple computers like exo and petals. They’re more targeted at a p2p-style random collection of computers. I’ve run petals in a small cluster and it works reasonably well.

Yale z-wave work well and last a long time between needing to replace batteries, and can run off of rechargeables. Can add to home assistant and work with Siri and Alexa integrations on home assistant.

Had some Schlage locks that ran through batteries way too fast.

Taking ollama for instance, either the whole model runs in vram and compute is done on the gpu, or it runs in system ram and compute is done on the cpu. Running models on CPU is horribly slow. You won’t want to do it for large models

LM studio and others allow you to run part of the model on GPU and part on CPU, splitting memory requirements but still pretty slow.

Even the smaller 7B parameter models run pretty slow in CPU and the huge models are orders of magnitude slower

So technically more system ram will let you run some larger models but you will quickly figure out you just don’t want to do it.

Respect, but…

I’ve been tempted to try and install plasma mobile on a tablet.

Why no arch install?

Asahi only partially supports the M3 and I guess now the M4 is out (though only in iPad)?

Fwiw they’re able to do the same thing by the sound of someone typing a password across the room. Not advocating for fingerprints or anything, just these exotic hacks are everywhere

Agreed, the meta+arrow shortcuts to move windows around are great. That defaults to half/quarter windows. You can also define a custom layout (meta+t to configure). The meta+arrow shortcuts still work on half/quarters of the screen, but you can shift+drag a window to drop it into one of the custom layout tiles/areas… gives a lot of flexibility.

Almost every time someone tries to lump this many people into one basket, the rest of what they’re saying is going to be dumb as hell.