If you have a Lenovo laptop, these are the keys:

Press Alt key (or whatever key maps to Alt, if you’ve made key remappings) and keep it pressed all the time, while doing as follows, where “Fn” is the function key:

• Press Fn+s, release Fn+s, press r
• Press Fn+s, release, press e
• Press Fn+s, release, press i
• Press Fn+s, release, press s
• Press Fn+s, release, press u
• Press Fn+s, release, press b

You see the sequence gives “REISUB”.

When pressing keys or key combos, keep them pressed for a second or so. If you press a wrong key, restart from the beginning.

Good luck! 🍀💪

A bit sad that Turing’s machine isn’t mentioned anywhere in their pages – but maybe I just missed the mention.

🤣

https://libgen.li/librarian.php

Login with the anonymous credentials given there, then go to the “upload” tab. You can go there through a VPN.

This is also the answer given by AA.

https://github.com/elementdavv/internet_archive_downloader

🤝 I download new music to check if I like it, and if I do then go over to Qobuz and buy it DRM-free and download the flac file, which is my flac file. Happy to support the musicians.

+1! 🎶🚀

And Qobuz does as well.

https://github.com/BryanLunduke/DoesItAgeVerify

And what happens with it also depends on how people, including software developers, react to it.

😂 🤝

A reminder also to boycott, as much as possible, those thirteen major publishers – most or all of which are stealing from academia:

APRESS MEDIA, LLC; CENGAGE LEARNING, INC.; ELSEVIER INC.; HACHETTE BOOK GROUP, INC.; HARPERCOLLINS PUBLISHERS LLC; JOHN WILEY & SONS, INC.; MCGRAW HILL LLC; BEDFORD, FREEMAN & WORTH PUBLISHING GROUP, LLC D/B/A MACMILLAN LEARNING; MACMILLAN PUBLISHING GROUP, LLC; PEARSON EDUCATION, INC.; PENGUIN RANDOM HOUSE LLC; SIMON AND SCHUSTER, LLC; AND TAYLOR & FRANCIS GROUP LLC

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.

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

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.

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.