If he doesn't and instead croaks in private, you just know they'll try to pull a Weekend at Bernie's.

Manul.

Does this require nonfree Ace of Spades assets or are the assets fully free aswell? I read the landing page, but that point was not clear to me.

Moonrise over Alderaan, unknown artist, 0 BBY.

Utinni!

Just like the simulations!

The cutest of beholderkin.

Joining a Linux machine to an AD domain is quite easy using realmd. It can use sssd/ad-cli or samba winbind as a back-end and will do all the wiring up of NSS, PAM and the like for you. You can even let it install missing distro packages for the domain join for you - or you can have it tell you what packages you're missing and install them yourself.

You will need to talk to your IT department (or whoever is responsible for AD) though, not least because a domain admin will have to input their credentials so that the domain join (creation of the Computer object in LDAP and generation of the Kerberos keyfile) can happen.

Ich musste jetzt echt lang überlegen, was Fütter-Tees sind und wo man die reinlädt...

You might be interested in the YouTube channel ProjectsInFlight, which is currently trying to build a DIY solution for fabbing simple ICs in their garage & documenting the process on YouTube.

Some thoughts:

Use of AI techniques in game development

• Some AI techniques are already being used in the development pipelines of some studios. For example, image upscaling has been used to scale up textures in some remasters of older titles. But these approaches are tools that speed up the development process, not automatic solutions, and they still require being polished by an artists. See also this YouTube video on texture upscaling by Tommy Thompson.
• Similarly, image upscaling is also already being used as a post processing step in rendering pipelines. nVidia's DLSS allows rendering a game at a lower resolution (and thus at a higher frame rate) and then using a NN to scale the frame to the target size. YouTube video on DLSS, YouTube video on the newer DLSS 3, both by Tommy Thompson.
• As far as I know, neither LLMs like ChatGPT nor text-to-image models like stable diffusion have been widely adopted so far. Personal opinion: I don't think we will see an adoption of these techniques in the near future, for a variety of reasons. Without a lot of tinkering with their prompts, they tend to produce output that, while certainly not bad, is fairly generic and recognizable in style. They are also trained on copyrighted material and sometimes include substantial portions of a training sample in their output, which is a legal liability. Finally, you give up a fair bit of artistic control over the end result.

Your game idea

I don't think this is viable at this point. The crucial thing to understand about LLMs like ChatGPT is that they don't have any actual understanding of the world. The only thing they learn is to predict the most likely next word of a sentence, given the context of the conversation so far. So you could probably use them for some background character that only ever talks but never takes any actions (say, a drunk patron at a bar). But there is no way for an LLM to actually affect your simulation, so you'd need to somehow parse the conversation into a set of events in the game world, which does not seem feasible.

It's an open source descendant of CryEngine. Basically, Amazon bought the rights to distribute a fork of CryEngine as a marketing ploy. They called this fork Lumberyard, and modified it to make it very easy to use their cloud services for online connectivity. Then they got bored of maintaining it themselves and released it as an open source project under the umbrella of the Linux Foundation.