I’d guess the 3 key staff members leaving all at once without notice had something to do with it.

What’s the deal with Alpine not using GNU? Is it a technical or ideological thing? Or is it another “because we can” type distro?

Cohere’s command-r models are trained for exactly this type of task. The real struggle is finding a way to feed relevant sources into the model. There are plenty of projects that have attempted it but few can do more than pulling the first few search results.

I really like the simplicity and formatting of stock pacman. It’s not super colorful but it’s fast and gives you all of the info you need. yay (or paru if you’re a hipster) is the icing on top.

Don’t buy a Chromebook for linux. While driver support usually isn’t an issue, the alternative keyboard layout is terrible for most applications. To even get access to all of the normal keys that many applications expect you need to configure multi-key shortcuts which varies in complexity based on your DE. In most cases it will also void your warranty because of the custom firmware requirement.

There should be no difference because the video track hasn’t been touched. Some software will display the length of the longest track rather than the length of the main video track. It’s likely that the the audio track was originally longer than the video track and because of the offset it’s now shorter.

You can use tools like ffmpeg and mediainfo to count the actual frames in each to verify.

Koboldcpp should allow you to run much larger models with a little bit of ram offloading. There’s a fork that supports rocm for AMD cards: https://github.com/YellowRoseCx/koboldcpp-rocm

Make sure to use quantized models for the best performace, q4k_M being the standard.

I only have 60 down and 12 up so I cap about 80% of the time with a short uncapped window late at night.

Tun0 is the interface that most vpns are using so I assume proton is the same.

The drive is visible to the OS so if they have any kind of management software in place which looks for hardware changes it will be noticed.

I’m not sure why it would be any different from how this is treated with search engines. Both scrape massive amounts of openly available data and make it available in some form. Any training data or information that a model could potentially spit out is already available through a search engine’s index.

Flatpak is good for diversity. Users don’t need to worry about whether the obscure distro they want to use has the software they want in its repos. If a distro supports flatpak it will work with most popular software out of the box.

You’re never going to be banned from a store. Individual games with anticheat might however. Even then bans are pretty rare outside of games that are explicitly hostile towards Linux like destiny 2.

French laws don’t recognize software patents so videolan doesn’t either. This is likely a reference to vlc supporting h265 playback without verifying a license. These days most opensource software pretends that the h265 patents and licensing fees don’t exist for convenience. I believe libavcodec is distributed with support enabled by default.

Nearly every device with hardware accelerated h265 support has already had the license paid for, so there’s not much point in enforcing it. Only large companies like Microsoft and Red Hat bother.

Just introducing them to it is probably enough. Show them different desktop environments and applications to get them used to the idea of diverse interfaces and workflows. Just knowing that alternatives exist could help them break out of the Windows monoculture later. Enable all of the cool window effects.

Dropping support after only 25 years? I can’t believe Linux is contributing to planned obsolescence.

Smaller communities aren’t necessarily a bad thing. Compared to reddit I rarely feel like I’m commenting into the void.

In the case of Machine learning the term has sort of been morphed to mean “open weights” as well as open inference/training code. To me the OSI is just being elitist and gate keeping the term.

That isn’t neccesarily true, though for now there’s no way to tell since they’ve yet to release their code. If the timeline is anything like their last paper it will be out around a month after publication, which will be Nov 20th.

There have been similar papers for confusing image classification models, not sure how successful they’ve been IRL.

Get yt-dlp then run: yt-dlp -x ‘video-url’

I believe if you’re willing to check the format codes on the video you can download audio only but both will get you the least compressed audio available.