I wouldn't say there is "no" use case.

For example, a friend of mine is landscape gardener and he regularly uses AI to basically help customers understand what he plans and how it would look. I made him a small webapp where he can simply snap a pic and writes a prompt like: "To this garden, add a small, round base filled with pebbles in the middle, add a bench and two metal poles left and right". AI generates the pic, he rewrites the prompt a few times and once he's satisfied, can show it to the customer who then exactly knows how it looks. He used to do that with photoshop himself which took him a lot longer and customers were more often unhappy with the outcome because the picture didn't show it as clearly as the AI generated pictures do, so he had to do some adjustments, which obviously eats into the profits.

So yeah, there is actually a good amount of use cases. However, none of those use cases requires literal trillions being pumped into the AI industry.

Darauf erstmal Kürzungen der Sozialleistungen. Faules Versagerpack. Eure Armut kotzt mich an.

Hab jahrelang in Köln-Heimersdorf gewohnt, in der Gegend um den Bahnhof sind die Straßen alle nach Bäumen benannt. Fand ich damals auch irgendwie sehr lustig.

Stimme der Sozialen Marktwirtschaft

Nicht gerade sozial, was die aktuell so alles vorschlagen

I'm kinda confused by all of the people here doing that tbh.

The entire point of dockerfiles is to have them produce the same image over and over again. Meaning, I can take the dockerfile, spin it up on any machine on gods green earth and have it run there in the exact same state as anywhere else, minus eventual configs or files that need to be mounted.

Now, if I'm worried about an image disappearing from a remote registry, I just download the dockerfile and have it stored locally somewhere. But backuping the entire image seems seriously weird to me and kinda goes against of the spirit of docker.

The thing is, this is most certainly the case. I'm willing to bet that every dev uses LLMs every now for certain tasks. Having it find a bug you just can't find yourself because you've been at the problem for like an hour, or have it implement a method that you already know how it should look like so it's basically just a big autocomplete. I'm also willing to bet that artists will have LLM generate a concept for an asset if they are really out of ideas. It's like asking friends "hey can you come up with an idea for X" and then you get 15 different inputs, all of them suck ass but there is something that jiggles your inspiration and lets you come up with something.

Ignoring all the fundamental technical issue with that distro, there's so much morally bankrupt shit going on with manjaro that no - I'm not making that seperation. For me personally, manjaro users are on the same level as nestle customers.

Someone who uses X11 in 2026 calls me a moron.

Made me giggle.

What are some of the features people like between the two of them?

The main feature of wayland is that it's not abandoned.

These morons lost the EV race to china so they are trying their hardest to keep that oldass tech alive.

Lmao.

"In the twilight of bourgeois decadence, even the most trivial ornaments of culture shall be seized by the ruling class, for in latestage capitalism the elites will weaponize every spectacle - yes, even the egirls - to distract the proletariat from its chains." - Karl Marx