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

The rest of the budget kind of sucks but this part makes sense. If you’re making significant profits off of users in a country you should have to pay some of that back. All countries should have this.

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.

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.

9/11 killed more in one day than mass shootings have in the last 20+ years. https://www.statista.com/statistics/811504/mass-shooting-victims-in-the-united-states-by-fatalities-and-injuries/

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.

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.

Mandatory minimums for any crime are unconstitutional. The whole point of having a judge is to decide on these things.

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.

I’ve used the tplink ones that they’re using and they’ve been pretty solid. I can’t say how they’d fare in a 24/7 setup though since they’re not really intended for that.

If retroarch is too much you can try Lemuroid. Lemuroid is a much simpler emulation app with a more straightforward GUI. It doesn’t come anywhere near the features or number of cores of retroarch but it supports most common retro systems.

This is how Canadian news sites will die. The only reason Canadian sites are accessible to most is because of search engines. The major search engines and social media platforms could easily remove Canadian sites will little loss. Facebook has already done it and has received little decrease in usage.

Canadian news needs search engines more than the search engines need Canadian news.

I wasn’t reffering to the headline but the situation in general. What I meant was that the regulators expected the companies to be forced to pay up rather than just dropping Canadian news altogether.

My original comment was a bit vague.

I’m not sure what they expected would happen. Regulators can’t help but show off how little they understand about the internet.

LLMs only predict the next token. Sometimes those predictions are correct, sometimes they’re incorrect. Larger models trained on a greater number of examples make better predictions, but they are always just predictions. This is why incorrect responses often sound plausable even if logically they don’t make sense.

Fixing hallucinations is more about decreasing inaccuracies rather than fixing an actual problem with the model itself.

Sort of. It’s a universal standard that would allow all messaging applications to work together while supporting many of the features of current 3rd party apps. It’s like an improved and more feature rich alternative to SMS and MMS.