In a post-scarcity society, you wouldn’t need money.
We could actually achieve that too. We’d just need to solve food logistics hurdles, homelessness, useless subsidies, bigotry, corruption, greed. Totally doable in our lifetime. /s
In a post-scarcity society, you wouldn’t need money.
We could actually achieve that too. We’d just need to solve food logistics hurdles, homelessness, useless subsidies, bigotry, corruption, greed. Totally doable in our lifetime. /s
According to a paper published in 2020 here, the specific energy and energy density are in line with what you are saying. But according to the article that Wikipedia cited here, sodium batteries show the opposite.
You’re probably right but it looks like there’s conflicting info about this currently.
What’s interesting to me is the power to weight ratio. Sodium-Ion is at ~1000 W/Kg vs Li-Ion at ~175-425 W/Kg. EVs could maybe have less weight and cost in the future because of this.
I’d like to get a Pixel for GrapheneOS but I’m sorta waiting to see if the upcoming fold has pen support. If not, I’ll probably just get an earlier model since it’s cheaper.
Yeah, there isn’t a very good alternative other than occasionally getting lucky that it’s compatible with VLC streaming.
But will it have stylus support? That’s pretty much the only reason I didn’t consider the last version.
You definitely should try something with an actual desktop. It sounds like you’re wanting a headed server with virtualization capabilities. I’d personally run LXD or KVM and LXC if I needed a type 2 hypervisor and containers like what you’re saying. Luckily, a ton of distros support both of these at this point.
Btw, proxmox utilizes KVM and LXC on the backend. So the only difference is that you’re leveraging the tools directly. If you’re a CS student then learning the underlying tools is the best way to learn about a system and how it all interacts.
I used to run that years ago and what I remembered was that it was a handful to maintain with updates when I used to run it on windows. It could be completely different now, so don’t let my past experience hold you back from trying it out.
Firefox forks seem to be the best option. Chromium-based browsers still report to Google unless you basically break them.
Did you read the documents? It’s not as bad as what you’re saying.
It looks like the prohibited acts (section 6) specifically mention for commercial purposes where attribution markers are separated from the content. So, commercial AI software that doesn’t retain these markers or copyright marker removal done to mislead or affect in a commercial way would be against the law in 2 years.
I don’t see how this affects anything open source related. The way I understand it is that this will just force commercial applications to adapt to this and move on.
It looks like Quad9 supports DoH: quad9
I might give it a shot. It looks like a good alternative. Thanks for the recommendation.
I used to love Vivaldi, but eventually it being a chromium browser forced me to switch back to Firefox and it’s children. If they switched over to using Firefox as a base rather than chromium then I’d consider it.
It might be that someone wanted to change something that was on a website before the archive could get to it too.
It sounds like they made their own bed with preferential treatment towards Manjaro.
It largely depends on the program. If the application has native Wayland support then it usually works pretty well, but apps that only run on X11 (which need to run through Xwayland) may be a little glitchy. It will depend on a lot of different variables including drivers, model, libraries, kernel, etc. But later this month Nvidia is to release new drivers that allow “explicit sync”, which should address a lot of this I believe.
Maybe a 3rd file would work? You could add all of the relevant data there and when translating between one language or the other it would prune any comments or unsupported features as the output is generated.
Oh, my mistake. Disregard me then.
That’s hilarious. I didn’t know that
There are plenty of uses for it. There are also plenty of bad implementations that don’t use it in a way that helps anyone.
We’re going through an overhyped period currently but we’ll see actual uses in a few years once the dust settles. About 10 years ago, a similar thing happened with AI vision and now everyone has filters they can use on cameras and face detection. We’ll reach another plateau until the next tech hype comes about.