Except I just uninstalled Mint’s default Firefox because whatever additional theming they did to my boy fucked up the right click context menu. FF is now flatpak.

I’m waiting to see what other cores land for the Analogue 3D, then I’m going to pick up either this, the Analogue, or both. All hail the FPGA.

Just leave her, she’s crazy bro.

Yeah, the billion dollar game developer doesn’t have the resources to test preview editions of the only PC OS their game is designed for. They’re just a small startup of ~20k employees. How are they supposed to allocated anyone to patching a game from their most popular franchise?

You’re right, it’s the consumers fault for being biased.

I’ve put like 1000 hours each into Stardew Valley and Rimworld. Not a single ray traced, no advanced boob physics, just good fun.

Seconded, move the games to the NVME if you notice slow load times or textures not rendering quickly enough.

Hmm, feels like it’s missing stuff. Does disc go shiny side up or down?

Didn’t you see? This is XR, totally different.

My experience has been that certain vanity TLDs are not accepted, so if youre using a personal domain on simple login and it has a TLD like .email or .ninja, there’s a chance it’ll be rejected while temporary email with a .com TLD will skirt by.

Keep Talking And Nobody Explodes on the daydream was a next level of fun with friends. Sad it was abandoned so rudely.

You can rent (until your service decides to stop selling that content) and download a DRM-locked copy only playable in one app that’s 1/5 the bitrate. Is that not good enough for you?

What if we include a full screen ad whenever you pause. You’re not watching anyways, what’s the harm?

Oh, also, did you hear about our other content and services? We would like to remind you of all of those every time you start to watch something - we don’t consider them advertisements, just important feature updates, so you can’t remove them.

Aand… you HAVE to be connected to the internet to watch, because we made this really cool AI thing that watches literally everything you do, sends it to our servers, and sometimes happens to recognize which characters are on screen so you can access their IMDB pages through your TV while watching the movie for some reason, like that’s a normal thing people want to interrupt their movie experience to do.

No sharing in Notesnook

MKVToolNix is the right answer, BUT if you plan on sharing your Linux ISOs with the wider community you may not want to edit the original file.

Not sure what you’re watching on, but Plex lets you set a preferred audio language per-user, while Jellyfin and Kodi support external audio tracks as long as they are properly identified, so you could extract/find the English track you want and just toss it in the same folder

Of course, when you add a backdoor it’s best to assume everyone will use it sooner or later.

Its true!! I saw several really interesting documentaries about this phenomenon on PornHub

It would be amazing if it could have a significant impact on spatial and temporal accuracy of things like rain. I feel like for me the existing weather report is good enough for “it will probably rain tomorrow” but it’s really hit-or-miss when you get to hourly resolution. A good model may be able to go so far as to say “it will probably rain between 3-4pm on the east side of town tomorrow, and 2-3pm on the west side”

That’s the dream at least. With enough data and a sophisticated enough model it feels like it could be possible.

There’s a difference between the real-ish-time weather data continuously fed in to output predictions, and the decades of weather data used to build the model. The continuous feed of data is more than likely part of what Google alleges is saving significant energy.

Its the training on decades of information, and occasional updates to those trained models that take a significant amount of resources, but hopefully for relatively short bursts.

I feel this personally, I live in the hills outside of a valley metro. All weather data is forecasted off of valley sensors, but shit gets weird when you suddenly climb 2000+ ft.

The best weather services in my area are those that can factor in peoples household meters into their forecasting, but those services still aren’t perfect.

It’s not just about cutting costs, but also improving accuracy. Physical simulations factor in a dozen or so weather conditions to predict outcomes. Machine learning can track thousands of conditions, drawing connections not realized in physical models, leading to much more accurate statistical models.

What they leave off is how much goes into training the model, but I imagine once they settle on a trained model it can carry on pretty efficiently for a long time, especially if they’re baking in things like atmospheric CO2 levels to help keep forecasts in line with global warming.