antifarben

I'm waiting for next year's talk at the CCC about it.

I'm missing the repo link here but is it similar to Paperclip or Genosyn?

What are people using to test mobile apps on self hosted infrastructure nowadays? Is there a solution that's not super heavy and/or slow?

It would be great if you could also compare it with Kanidm

I'm an exception for sure but I have not seen much innovation in the phone space that you'd genuinely make me buy a new phone.

Yes, cameras are better now. But some phones had good cameras years ago. I bought new phones mainly because of battery decline and/or not getting security updates.

If one of these will be solved, that might change my phone buying behaviour.

I don't care whether a display is called "retina" , whether the next edition comes in the colour "space banana grey while lion tiger snail".

And I don't need to impress someone by proving that I'm able to buy a new phone either. Such behaviour gives me a good hint what to think about them though.

A phone that will have the battery situation solved is a killer argument. Then I'd like to have a software distribution on top that it's "mum compatible" and doesn't need nerd knowledge to maintain. Something that allows to use banking apps.

Let's see how it goes. Also I hope that there can be third party batteries without DRM-like behaviour.

Also this "Progress: 30/30 papers (100%) - COMPLETE!".

And below in the README were the conditions set from the prompt (i.e. "use only NumPy (no deep learning frameworks)")

Can it do something that Framasoft's Mostlymatter (or any other Mattermost fork) can't do?

Huh? I just saw it as supported in their docs a week ago I thought?

Wow, how does that work?

Perfect! Thank you!

Does anyone know what song it is in the last level? The dancing one. Thank you

Does anyone know how to buy them in Europe?

Oh, I'm looking forward of this client being available as a Flatpak although especially in this case some folks might prefer it to have it available via Snap :D

Can somebody explain how the workflow works here exactly? Is the LLM trained on SVG? If so: could it hallucinate SVG properties or so? Or is it a regular image generating AI that vectorizes raster images afterwards with traditional tooling?

I'm a noob in that field but I'm curious about potential risks. ;)

Does anyone know whether this would also be possible with Firefox, including explicit extensions (i.e. uBlock) and explicit configured block lists or other settings for these extensions?