If someone is careless, they should create a wrapper around rm, or just use a FM.
I think that’s the situation OP is in… They don’t trust themself with these kinds of commands, while other commenters here are trying to convince them that they should just use rm -rf anyway
Maybe they’re afraid of accidentally writing rm -rf folder/.git /* or something
Did you try running xev and pressing the key to see if it shows up as something?
If you’re using btrfs then you might need to rebalance it. I had the same problem, i.e. “no free space” while tools like df reporting that there should be available disk space, and it confused the hell out of me until I found the solution.
See manual: https://btrfs.readthedocs.io/en/latest/Balance.html
This are the commands I run every now and then, especially if my drive has been close to full and I delete a bunch of files to make more space:
sudo btrfs balance start -dusage=10 /
sudo btrfs balance start -dusage=20 /
sudo btrfs balance start -dusage=30 /
The / at the end is the path, since it’s my root mount which uses btrfs. The example in the manual does 40 and 50 too, but higher numbers take longer time, even on an nvme ssd.
My wife and I gave a Linux computer to a friend’s kid. I think I used something called Grapejuice to install Roblox, which ran perfectly for about a year. Then it broke because they wrote a new game client or something, but the kid just said “it’s ok, I’ll play other games instead.” Best Linux gamer attitude :)
I have some hobby projects in Python but I’ve never needed the pro features, I do pay for Clion though
It looks pretty, but IMO one of the selling points of zsh is that it allows async updating of the prompt, allowing you to use slow commands like “git status” without adding a delay every time the prompt needs to be printed.
E.g. the default prompt from prezto is quite light and responsive, but when inside a git repo adds the info on the right side (shows when you have commits ahead/behind the remote branch, stashes, modified/deleted/added/staged files, etc) when that becomes available.
Didn’t look like any of the example themes on ohmyposh.dev had the $RPROMPT stuff, which I guess would be difficult support for a cross-shell theming engine.
In the defence of client side AC; if the entire game runs on the server, then network delay makes FPS:es awful to play. Being able to trust clients and let them do hit detection is quite important in making online FPS:es responsive. In addition, cheats that remove walls/grass, highlight players or even autoaim are near impossible to detect server side. One could try to use heuristics and statistics but it would be difficult to tell the difference between cheaters and players who are just good at aiming and map awareness.
That’s been the primary reason why I’ve kept a Windows dual boot, though when I tried Steam VR on Linux a month ago it mostly worked well. Still some features that are unavailable, and a couple of bugs, but usable.
I also use KDE because I like customizing my DE, but I’m not sure I agree that it’s hard to break. When I just switched from Xfce to KDE I downloaded several global themes using the built-it theme browser, and a few of those definitely messed things up. It’s also happened more than once that I boot my computer and end up with only the desktop background (i.e. no panels or context menu) because KDE thought there was some wrong with the theme, which can be difficult to recover from for someone who doesn’t know how to ctrl-alt-F3 and edit settings manually. Though it’s ofc. more stable when not testing global themes, and only changing other appearance settings.
Definitely not cheap, but at least not as bad as having to buy an A100 for €7000 to get 40GB VRAM. I’m hoping second hand GPU prices will plummet after Christmas
You can buy 2x second hand RTX3090 for about the same price of one new RTX4090, though you’ll probably need to get a new PSU as well. Or rent the hardware through runpod.io or similar for around $1/hour. Still a lot of money for most people but it’s not completely unachievable… Spend some time in the local LLM community and 48GB VRAM will start to feel like the bare minimum if you want to use any of the better models :S
There are tons of options for running LLMs locally nowadays, though none come close to GPT4 or Claude 2 etc. One place to start is /c/localllama@sh.itjust.works
Looks really cool, but a video of more than 3 seconds would’ve been nice :)
Can’t remember if it’s a default keybinding or if I changed it, but I use shift+meta+s to select a rectangle of the screen to copy. In KDE I have to select “copy” from the notification hamburger menu, Xfce I configured to automatically copy it to the clipboard. Then you can upload the selection to Discord and other apps with ctrl+v. Just meta+s copies the entire screen but I use that much less often.
Ctrl+h also toggles show hidden files, and it works in both KDE and Gnome/GTK including file selector dialogs afaik.
I could hardlink folders from one user to another
I don’t think you could, afaik hardlinks are only allowed for files. You might be able to something similar with a bind mount though.
Personally I keep those kind of folders outside a single user’s home dir. On one computer I have /home/Shared (not a real user, I just put the folder there… no idea if it’s a bad idea, but noone else is going to be creating users on that computer anyway).
A few days ago I wrote down a couple of links to interesting TTS projects that I was going to look into whenever I have time, along with some brief notes.
https://github.com/coqui-ai/TTS TTS + XTTS, GPU inference? 3GB model.
https://github.com/rhasspy/piper Low resource, CPU inference. 50MB model.
https://github.com/p0p4k/vits2_pytorch GPU inference? 500MB model. https://github.com/p0p4k/vits2_pytorch/discussions/27 Someone’s models for vits2
This is the first time I’m hearing about this, but this is how they describe it on their product page:
The AI-Powered Future of Windows Devices
Build, explore, and immerse yourself on select laptops with Ryzen™ AI built in. With dedicated AI accelerator hardware seamlessly integrated on-chip and software that intelligently optimizes tasks and workloads, CPU and GPU resources are freed up to enable optimal performance.
But based on the examples they have on github, it sounds like it might be useful to run generic AI compute stuff. I haven’t seen any details about what memory it uses, since especially LLMs require large amounts of fast memory. If it can use all the system RAM it might provide medium-fast inference of decent models, similar to M1/M2 Macs. If it has dedicated RAM it’ll probably be even faster but possibly extremely limited in what you can do with it.
It ought to be mandatory to write this out whenever talking about Linux. I’ve seen more than one person bash Linux in a public forum “because it has digital rights management built into the kernel” after they’ve misinterpreted some news headline.