GOG is seeking a Senior Software Engineer with C++ experience to modernize the GOG GALAXY desktop client and spearhead its Linux development
GOG is seeking a Senior Software Engineer with C++ experience to modernize the GOG GALAXY desktop client and spearhead its Linux development

the DRM free part only matters if you keep a copy of the installer. Galaxy doesn’t do that.
Why would that be relevant on Linux? WINE/Proton virtual environments are portable.
File compression, for starters.
You can compress folders and entire file systems.
A dedicated installer is much easier to bring around.
For one game, maybe. For a bunch of games an automated backup that collects the entire library and save games is much more practical. There are several easy to use solutions, not to mention scripting if you want really fine grained control.
Now you have a very portable, highly compressed file that is easy to move around.
I tried that some time ago, and at least at that point it needed configuration to get up and running. It was a hassle. I have family that needs a lot of my time at the moment. Between August and December I could find less than 10 days where I was able to decide by myself what I do after workdays or on weekends.
I’m not going to spend those precious minutes configuring any damn thing. Steam works out of the box. Now someone was just mentioning something called Heroic launcer. Sounds good. Wonder why Gog is not linking to it very visibly on its site if it works?
It strikes me odd that Heroic doesn’t want to be available with apt, though! It’s even advertising that it is intentionally packaged in a way that duplicates pre-existing libraries – apparently to just take some extra place from my hard drive for fun?!
Doesn’t really wake much trust in them caring about how to use a computer’s resources. Whether one wants to be afraid of two applications sharing a library file or not should be left for the user to decide… And it’s not very nice that there an increasing number of ways applications can be installed, and these clever people are supporting that development… How am I supposed to have any overlook over what’s installed on my computer? This is starting to feel like Windows :(
I don’t really believe it’s very good for computer security that applications are installed without anything in the OS keeping track of whether they need security updates or not!
Okay, in other words: I won’t be buying any more Steam games 🐳
So far this is only about one person and none of the ecosystem contributions to Mesa, SDL, Wine,…
Definitively better than nothing, though!
there’s a lot to be excited for, but
Job requirements
[…]
ew.
This is a “big part” of my job. In five months what I’ve accomplished is adding AI usage to jira along with a way to indicate how many story points it wound up saving or costing. Let’s see how this plays out.
If AI collapses as many expect it to, this job will still be there without that requirement.
Yeah, self-hosted open-source models seem okay, as long as their training data is all from the public domain.
Hopefully RAM becomes cheap as fuck after the bubble pops and all these data centers have to liquidate their inventory. That would be a nice consolation prize, if everything else is already fucked anyway.
Maybe that surplus will lay the groundwork for a solarpunk blockchain future?
I don’t know if I understand what blockchain is, honestly. But what if a bunch of indie co-ops created a mesh network of smaller, more sustainable server operations?
It might not seem feasible now, but if the AI bubble pops, Nvidia crashes spectacularly, data centers all need to liquidate their stock, and server compute becomes basically viewed as junk, then it might become possible…
I’m just trying to find a silver lining, okay?
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.
So there would be an enormous surplus and a lot of e-waste. That’s a shame, but that’s going to happen anyway. I’m only saying that the silver lining is that it means GPU and RAM would become dirt cheap (unless companies manufacture scarcity like the snakes they are).
Industrial applications aren’t the only uses for it. Academic researchers could use it to run simulations and meta-analyses. Whatever they can do now, they could do more powerfully with cheap RAM.
Gamers who self-host could render worlds more powerfully. Indie devs could add more complex dynamics to their games. Computer hobbyists would have more compute to tinker with. Fediverse instances would be able to handle more data. Maybe someone could even make a fediverse MMO. I wonder if that would catch on.
Basically, whatever people can do now, more people would be able to do more powerfully and for cheaper. Computations only academia and industry can do now would become within reach of hobbyists. Hobbyists would be able to expand their capacities. People who only have computers to tinker with now would be able to afford servers to tinker with.
“Trickle-down” is a bullshit concept, as everything gets siphoned to the top and hoarded. But when that cyst bursts, and those metaphorical towers come crashing down, there’s gonna be a lot of rubble to sift through. It’s going to enable the redistribution of RAM on a grand scale.
I’m not pretending it’ll solve everyone’s problems, and of course it would have been better if they had left the minerals in the ground and data centers had never grown to such cancerous proportions. But when the AI bubble bursts and tech companies have to liquidate, there’s no denying that the price of RAM would plummet. It’s not a magic bullet, just a silver lining.
I would imagine any program running simulations, rendering environments, analyzing metadata, and similar tasks would be able to use it.
It would be useful for academic researchers, gamers, hobbyists, fediverse instances. Basically whatever capabilities they have now, they would be able to increase their computing power for dirt cheap.
Someone could make a fediverse MMO. That could be cool, especially when indie devs start doing what zuck never could with VR.
Maybe I didn’t mean blockchain, cause I’m still not really certain what it is. I mean like the fediverse itself, or a mesh network, where a bunch of hobbyist self-hosting their own servers can federate as a system of nodes for a more distributed model.
Instead of all the compute being hoarded in power-hungry data centers; regular folks, hobbyists, researchers, indie devs, etc., would be able to run more powerful simulations, meta-analyses, renderings, etc., and then pool their data/collaborate on projects, and ultimately create a more efficient and intelligently guided use of the compute instead of simply “CEO says generate more profit! 24/7 overdrive!!!”
At the very least, a surplus of cheap RAM would expand the computing capabilities of everyone who isn’t a greedy corporation with enough money to buy up all the expensive RAM.
I think it’s called an inferencing chip. I read about it a few months ago.
Basically, the way it was explained, the most energy-intensive part of AI is training the models. Once training is complete, it requires less energy to make inferences from the data.
So the idea with these inferencing chips is that the AI models are already trained; all they need to do now is make inferences. So the chips are designed more specifically to do that, and they’re supposed to be way more efficient.
I kept waiting to see it in devices on the consumer market, but then it seemed to disappear and I wasn’t able to even find any articles about it for months. It was like the whole thing vanished. Maybe Nvidia wanted to suppress it, cause they were worried it would reduce demand for their GPUs.
At one point I had seen a smaller-scale company listing laptops for sale with their own inferencing chips, but the webpage seems to have disappeared. Or at least the page where they were selling it.
Enjoy.
Say hi to the PMs and QA for me.
Yeah, what does GOG know?
The real source of wisdom is social media users who approach a topic with bad faith, outrage farming framing. I mean just look at the upvotes, and you can easily tell how right you are, it’s basically science.
And we open the book of troll arguments to chapter 1: Ad hominem
Keep going, it really makes you look like the rational one.
Maybe try a red herring next, or a straw man those are always popular.
Oh ok.
‘The job listing does not say anything about outsourcing your brain.’
But, everyone knows that because it is obvious on the face.
The subtext, as always, isn’t about commenting on the subject of the article or even making any kind of cognizant point that could actually be rebutted. Much like the top comment, it is just running ‘ai bad’ through an LLM so that it fits the post.
Would you honestly say that the comment that I responded to was made in good faith?