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.

They aren’t out of context, and you have just said the same thing. Data processing can help in removing noise, but it can’t help in creating information or extracting information that wasn’t there in the first place. In fact – again as you said – it can end up destroying part of the original information.

LLMs extract word correlations from textual data. Already in this process they are losing information, since they can’t extract correlations beyond a certain (yet large) length, and don’t extract correlations at shorter lengths. And in creating output they insert spurious correlations that replace (destroy) some of the original ones. This output will contain even less information than the original training data. So a new LLM trained with such an output will give back even less.

What a job! Thanks for the info!

Yes it does. Indeed it is a mathematical theorem from Information Theory, called the data-processing inequality. Quoting from two good textbooks on Information Theory:

“No clever manipulation of the data can improve the inferences that can be made from the data” (Cover & Thomas, Elements of Information Theory §2.8).

“Data processing can only destroy information” (MacKay, Information Theory, Inference, and Learning Algorithms exercise 8.9).

Thanks for the info! 🚀

Very nice what he’s doing, although I’ll prefer to get it from other sources than YouTube (which I suppose will get a commission).

My post obviously begged for this. Iron lung and lotion – what a combination!

You’ve read the stances of all different people. I agree with most and I’m a bit more conservative: I switch to a LTS (even-numbered) release only when its main non-LTS (odd-numbered) upgrade is out; and skip all non-LTS.

Thanks for the additional tip! Not using docker at the moment, but I’ll keep this in mind if I do :)

I agree. I’ll actually contact the national Consumer Policies department and ask if this is at all legal.

The fundamental problem is that age verification is bullshit. So let’s not normalize it. It must be fought, on all fronts, including the FOSS front.

Indeed I wonder if that kind of keyboard check is even legal - personally I feel it as a breach of my privacy, none of their fucking business what kind of input method I use. (If anyone here is knowledgeable about such matters, please let me know!)

I’ve been having similar turd-kind encounters with bank apps even within Android. I use the egregious Heliboard from F-droid, and my bank app refused to start because I use an “untrusted keyboard” – funny as it’s way more trustworthy that Gboard or Microslop board apps. Turns out the apps of all banks in my country are like that. So now I simply access the bank via the browser instead. Fuck their apps.

But I understand that the browser solution may not work for everyone :(

Partly this problem comes from incompetence of the app’s developers, partly for shifting responsibility: it seems to me that they let Play Store do the checks, so if any hacking happens they can blame Play Store. And there’s also the modern motto: “if you want to make an app secure, make it unusable”. Even better I’d then say “don’t make it at all”! – there, security-problem fully solved.

Put pressure on banks would be best. Possibly one could also play a “disability” card: I must use such-and-such app or OS owing to visual impairment, say. Or collect signatures for a petition… but I imagine we’re a very small minority.

As a protest in my case I changed bank a couple of times.

But thank you for the USB-ADB tip! I’ll use it when I switch to GrapheneOS.

Thank you, this is exactly what was unclear to me. I also prefer to shut it down from the command line. I’ll use the graceful command as well!

Thank you for the information and advice. I’ll set aside 15 min for shutting it down gracefully then.