Yes, very happy with mine. Started it up to see the preinstalled version of Linux and then restarted it to install Arch btw instead, but it’s a great wee machine, exactly what I wanted and will be replacing it with another like it when the time comes.
It is certainly true that TempleOS won’t be identifying with one of the common browser user agents when surfing the internet.
I dunno. Oxygen Not Included looks crisp on a 4K monitor. And it makes my job easier, being able to have an absolute tonne of code on-screen and readable. I reckon I could probably use an 8K monitor for those things.
Yeah, I generally have FSR running on any 3D game made in about the last decade - even if I can run it at 4K at a reasonable framerate, my computer fans start to sound like a hoover and the whole room starts warming up. But upscaling seems a better solution than having separate monitors for work and play.
Google Stadia wasn’t exactly a responding success…
From a previous job in hydraulics, the computational fluid dynamics / finite element analysis that we used to do would eat all your compute resource and ask for more. Split your design into tiny cubes, simulate all the flow / mass balance / temperature exchange / material stress calculations for each one, gain an understanding of how the part would perform in the real world. Very easily parallelizable, a great fit for GPU calculation. However, it’s a ‘hundreds of millions of dollars’ industry, and the AI bubble is currently ‘tens of trillions’ deep.
Yes, they can be used for other tasks. But we’ve just no use for the amount that’s been purchased - there’s tens of thousands of times as much as makes any sense.
We’ve had multiple instances of AI slop being automatically released to production without any human review, and some of our customers are very angry about broken workflows and downtime, and the execs are still all-in on it. Maybe the tune is changing to, “well, maybe we should have some guardrails”, but very slowly.
Unfortunately, server RAM and GPUs aren’t compatible with desktops. Also, NVidia have committed to releasing a new GPU every year, making the existing ones worth much less. So unless you’re planning to build your own data centre with slightly out-of-date gear - which would be folly, the existing ones will be desperate to recoup any investment and selling cheap - then it’s all just destined to become a mountain of e-waste.
100% of supercomputers, 80% of mobile devices (as Android), 4 or 5% of desktops depending on whether you count ChromeOS. Desktop share is a few percent higher if you just count gaming PCs, eg. the Steam survey, since it’s more widely used at home than on business machines.
The rate of adoption is accelerating, too - slowly but steadily.
Magnet link for the actual mod download? Then you just need some fairly standard forum software in front. Let the users host the decentralised data.
As a “caps lock is another control” enjoyer, I know that pain. Don’t need to take your fingers off the home keys to type ^[ , whereas the proper escape key is a bit of a stretch.
Heroic get a referral link if you buy games from GOG via their launcher, which I always make sure to do. The fact that Heroic has ‘first class’ integration with Glorious Eggroll, and in fact updates GE for Steam for you as well, means that it’s damn good for Linux gaming. If you don’t need Steam’s workshop or social factors for a game, there’s no reason not to buy through it.
If GOG could collaborate with Heroic on their API integration, then that would be perfection - could retire Galaxy in that case.
If you’re just wanting to play it, you don’t really need the models, do you? Couple of packets of the cheapest army men you can find in the toy shop will do it you want fancy pieces, but just folding a piece of card in half so that it stands upright and writing on it what it is will suffice.
3D printing would do very nicely for the one-off models that you don’t want to kitbash, of course. Also great for playing DnD with; another game where you’re not obliged to use the ‘genuine books’ to play either.
Interesting, but misguided, I think.
If you’ve selected Python as your programming language, then your problem is likely either to do some text processing, a server-side lambda, or to provide a quick user interface. If you’re using it for eg. Numpy, then you’re really using Python to load and format some data before handing it to a dedicated maths library for evaluation.
If you’ve selected Go as your programming language, then your problem is likely to be either networking related - perhaps to provide a microservice that mediates between network and database - or orchestration of some kind. Kubernetes is the famous one, but a lot of system configuration tools use it to manipulate a variety of other services.
What these uses have in common is that they’re usually disk- or network- limited and spend most of their time waiting, so it doesn’t matter so much if they’re not super efficient. If you are planning to peg the CPU at 100% for hours on end, you wouldn’t choose them - you’d reach for C / C++ / Rust. Although Swift does remarkably well, too.
Seeing how quickly you can solve Fannkuch-Redux using Python is a bit like seeing how quickly you can drive nails into a wall using a screwdriver. Interesting in its way, but you’d be better picking up the correct tool in the first place.
Back when I owned an XPS, one of the driver options was ‘compressed screen updates’, which only updated the part that had changed. As far as I could tell, made no difference to battery life whatsoever - turning down the screen brightness even a notch did much more.
Daily driver laptop for nearly ten years, and the part that finally failed was the CPU fan, which wasn’t easy to obtain replacement parts for, so treated myself to a new laptop entirely. Mind you, the power connection was a PoS, would have been as well keeping that on an annual reorder for how often it failed. Pretty good laptop otherwise.
A controversial take. Every new feature added to Github has made it more unpleasant to use, and a lot of that is down to Copilot, for me. Only way to get rid of it is to wait for Github to go down again, which is the only thing it does reliably at the moment.
Oh, that’s obnoxious. I thought it was another ‘button along the bottom’, but it takes up the space that should be ‘right control’? Bastards. Hopefully you can rebind it to something useful, even if the keycap symbol sucks.
Mind you, I’ve already got caps-lock rebound as ‘control’ and alt-gr rebound as ‘compose’. My laptop has the ‘penguin’ key (it’s a Tuxedo laptop, no Windows key here) used for Sway. (My desktop keyboard is a Model M from before the days of Windows keys, have had to bind ctrl+alt as the ‘Sway Key’.) I’ve already got some ‘useless keys’ that I could rebind to other things - looking at you, print screen - but one you could press with your thumb while chording would always be nice.
Those ZBooks look like fine laptops. If you installed Arch on them, obviously ;-)
The problem is that the volume of slop available completely overwhelms all efforts at quality control. Zealotry only goes so far at turning back the tsunami of shite.
Considering the random branches of science that have gone into making better hard drives, I’d be willing to put money on ‘understanding dark energy’ => ‘higher density data storage’ as one benefit of the tech.
But yeah, we understand more things, we’re in a better position to understand even more things, and some have applications you benefit from every day.
Indeed.
In some ways, this kind of thing is ideal for Rust. It’s at it best when you’ve a good idea of what your data looks like, and you know where it’s coming from and going to, and what you really want is a clean implementation that you know has no mistakes. Reimplementing ‘core code’ that hasn’t changed much in twenty years to get rid of any foolish overflows or use-after-free bugs is perfect for it.
Using Rust for exploratory coding, or when the requirements keep changing? I think you’ve picked the wrong tool for the job. Invalidate a major assumption and have to rewrite the whole damn thing. And like you say; an important choice for big projects as choosing a tool that a lot of people will be able to use. And Window is very big.
They’re smoking crack, anyway. A million lines per dev per month? When I’m doing major refactoring, a couple thousand lines per week in the same language, mostly moving existing stuff into a new home, is a substantial change. Three orders of magnitude more with a major language conversion? Get out of here.
The Centos “eight pointed star”?
I’d be happy if plasma looked a bit more like WinNT. Completely functional, all the information there at a glance. Nothing hidden away in hamburger menus, no guessing about what you can and can’t click on. Does what it needs to then gets out your way. The best-designed that Windows has ever been.