Yeah, I agree. I do use Flatpaks, Snaps, and Appimages sometimes if I can’t find a suitable deb repo/package. Flatpak is the best out of the three because they do try to avoid too much duplication through runtimes. I also use Docker quite a bit, which has similar issues (and benefits).

I assume the “kill it” comment was a little tongue-in-cheek. On small SBCs, like a Pi, or old hardware, it could be a problem. I’ve seen people with flatpaks taking up 30GB of space, which is significant. I’m not sure how much RAM it wastes. I assume running 6 different applications that have loaded 6 different versions of Qt libraries would also use significantly more RAM than just loading the system’s shared Qt libraries once.

Wastes RAM and disk space (compared to package-manager installed applications) by storing more libraries on disk and loading them into RAM rather than just using the libraries already installed on the distro. It’s probably better than Snap and Appimage though.

GPL’d clients. Everything is encrypted/decrypted on the client before sending/receiving to/from the server. I may later switch to a self-hosted solution, but don’t want to set one up right now (was using BitWarden’s cloud before).

I just exported my data from BitWarden and imported into ProtonPass. Was pretty easy. Hate the color palette of the app and browser extension though, lol.

Allred came across weak, because he has the same position as Ted Cruz/Republicans on some of their worst policies (immigration and Israel), but he has to slightly “moderate” them a little to avoid turning-off base Democratic voters. This is a problem with the Democratic party as a whole, and it’s a losing strategy. Voters who strongly support Israel and being “tough on immigration” will be more swayed by the person that full-throatedly supports these position, and voters that disagree with these policies won’t be swayed by inconsequential concessions to them.

This is more complicated than some corporate infrastructures I’ve worked on, lol.

There’s plenty of open source projects that distribute executables (i.e. all that use compiled languages). The projects just provide checksums, ensure their builds are reproducible, or provide some other method to verify.

In practice, you’re going to wind up in dependency hell before pypi stops hosting the package. E.g. you need to use package A and package B, but package A depends on v1 of package C, and package B depends on v2 of package C.

And you don’t need to use pypi or pip at all. You could just download the code and directly from tbe repo, import it into your project (possibly needing to build if it has binary components). However, if it was on pypi before, then the source repo likely had all the code pip needs to install it (i.e. contains setup.py and any related files).

Yeah, the image bytes are random because they’re already compressed (unless they’re bitmaps, which is not likely).

camelCase for non-source-code files. I find camelCase faster to “parse” for some reason (probably just because I’ve spent thousands of hours reading and writing camelCase code). For programming, I usually just use whatever each language’s standard library uses, for consistency. I prefer camelCase though.

I’ve heard high velocity rounds (such as rifle rounds) send a kind of shockwave through your body. Dunno if it’s true or not.

OSMC’s Vero V looks interesting. Pi 4 with OSMC or Librelec could work. I’m probably going to do something like this pretty soon. I just set up an *arr stack last week, and just using my smart TV with the jellyfin app installed ATM.

My PC running the Jellyfin server can’t transcode some videos though; probably going to put an Arc a310 in it.

I think most projects left Sourceforge after they started putting adware into they’re downloads.

Democrats playing on the xenophobic tendencies of being “tough on the border” is such a bad strategy. Why would people vote for fascism-lite when they could vote for the original. Are they going to have a competition over how inhuman and dehumanizing they can be to migrants?

I’ve used this before: https://github.com/wilicc/gpu-burn?tab=readme-ov-file

Yeah, it may be a driver issue, Nvidia/pytorch handles OOM gracefully on my system.

That seems strange. Perhaps you should stress-test your GPU/system to see if it’s a hardware problem.

SD works fine for me with: Driver Version: 525.147.05 CUDA Version: 12.0

I use this docker container: https://github.com/AbdBarho/stable-diffusion-webui-docker

You will also need to install the nvidia container toolkit if you use docker containers: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html

I’ve had unattended upgrades running on a home server for a couple years and haven’t had any issues.

They’re good for media centers, since the support 4k HDR. Can also use Moonlight to stream games from a PC. GPIO is useful, but I guess the PI is overpowered for most GPIO use cases at this point.

I’ve been trying out Logseq the past couple days, which I guess is an alternative to Obsidian (never tried that). Can’t say I really understand the point or appropriate workflow of notes in a “graph” structure rather than a tree structure though (or the purpose of a journal). I like Joplin, but I’ve been having trouble with syncing on Android.