How some Linux developers defeated (for now) the new OS age-verification laws. Long live those Linux developers, who “heavily criticized the mandates”, made public statements, and contacted the legislators.

Because other Linux developers, instead, immediately bent over backwards to start implementing changes towards accommodating those laws; for sure they didn’t heavily criticize the mandates, nor make public statements, nor contact the legislators.

…that the EU will impose age verification…

Translate: …that the EU oligarchs will impose age verification…

Nobody knows whether the majority of EU citizens really want something so invasive. No referendum has ever been made. A fact that flies in the face of democracy.

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Funny lore! I never heard of “electric ballrooms”; what’s the concept?

You beat me in quoting this fascinating passage! :)

Great read, thanks to the poster for sharing.

Funny, seeing as EU itself is a loophole in democracy.

They also have an editorial piece on Angine de Poitrine in their magazine :)

Yes, sorry for messy up the name! For some reason I always get it wrong. The prices are great, and as you say it’s awesome to own the music you buy! :)

👊

It was exactly as you said; a difference I didn’t know about. Also confirming that Kubuntu apparently installs them system-side, even if flatpak install ... is called without sudo, again as you inferred. I don’t know how I managed to install them user-side in one laptop, but now they mirror each other :)

For others interested, these two commands show the difference, as explained by another user in a cross-post:

flatpak --user list
flatpak --system list

Thank you!

It was as you said! Thank you so much for explaining the difference and showing the commands 🙏 I wonder how I managed to install user-side on one laptop, since the standard flatpak install ... (without sudo) seems to install system-side anyway. But now I’ve managed to have an identical setup :)

It goes deeper than that, though. Why is the person talking about this with a chatbot in the first place, rather than with some professional?

It shouldn’t be a chatbot what prevents suicide in the first place. Something has gone horribly wrong with society – and it has already been normalized too.

You mean this? I must absolutely listen to them soon.

Agree, and other bands and composers have used and use microtones. I’m just happy that, thanks to the popularity of this duo, other bands and music systems will also receive more interest. That’s a positive side.

There’s always some exaggeration or downright ignorance coming from different sides, unfortunately…

Sharing similar music is of course interesting.

But this is a community for fans. Discussions about the technical skills, production volume, or whatever of other bands are welcome, as long as they’re made in a non-disparaging way. I think one has the right to be a fan of something or someone, and to enjoy its popularity if that happens.

Of course you have the right not to like something or not to agree with its popularity. But If your point is to be disparaging, it probably makes more sense to create a community for similarly-minded people: you can criticize the band or its popularity there as much as you like without offending one another.

Thanks – my fault using the wrong way to link to the community! Fixed now.

Yeah, it’s because my brain has only two neurons and both were still used to listen to them, sorry. Fixed now!

Thanks for sharing. I’d be happy if you posted updates on other stuff that works or that gives you problems after the OS change.

It is actually not so difficult to see this for yourself in a much simplified setting. One can easily build a “Small Language Model” that extracts correlations between only three consecutive words. On the web there’s plenty of short scripts that do this; here and here is one example. The output created by such a SLM can have remarkably long sentences with grammatical meaning (see the examples in the links above); this is remarkable since all it learned was correlations between triplets of words.

Now you can take a large amount of output from such a SLM, and use it to train a second, identical or even better SLM, then check the output generated by this second one. You’ll see that the new output is less coherent than the one from the first SLM. Give the output of the second SLM to a third, and you’ll see even less coherent text coming out. And so on.