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The CPU has a power saving mode that lets it slow down whenever a thread is sleeping (even a few milliseconds). In games, the main thread does short bursts of work then sleeps briefly. So the CPU keeps waking up “cold” at a low speed, causing occasional slow frames (the “1% lows”).
The patch adds a window where the CPU won’t go into the power saving state immediately, so when the thread starts working again the CPU is at full speed already.
Johnny Bravo
Or Doug


Suddenly a bunch of Americans have to apply for passports to vote. Many will have trouble gathering the required documents, including birth certificates and marriage licenses (for name changes). Many won’t get it done in time.
In addition, the agency that processes the passport requests can use voter data to selectively deny applications.
Oh, you’re a democrat voter in a battleground state… Sorry it took us 6 weeks, but it looks like you forgot to write the date in MM/DD/YYY format so we’re going to need you to to re-apply.
Red voter? Crayons are fine, sir.
For the new folks.
Linux Gaming has had some interesting moments


That’s the best kind.
The crunchy ones grow in the left half of the peanut and the creamy ones in the right.


Thy micturations are to me,
As plurdled gabbleblotchits


Exactly!
Anyone who has spent any time on social media could tell you that this is more of a ‘feelings’ topic than a ‘facts’ topic.
Nuh-uh
Just some math and pixels


After a while, but probably more than a month, you would need to refresh your keys as the ones that your system trusts would not match the signatures on what is being downloaded from the repo and you would be getting signature errors.
You’d just install archlinux-keyring first, and then do a full system upgrade. If that didn’t work you could refresh the keys with pacman-key (pacman-key --refresh-keys) and then install archlinux-keyring->upgrade.
Your system would work fine without updating, though I guess eventually a new version of HTML will come out in a decade or so and your browser won’t support it… but until then you’d be fine(security issues aside).


They don’t have a lot of technical details but essentially what these do is try to look maximally like ‘eyes’ or whatever other targets are used by facial recognition to some AI model.
They have to choose which model(s) to train against and there is no guarantee that the same output would fool a differently trained model.
The IR LED dazzlers should work against anything that is using IR as they work by overloading the sensor. The issue is that most cameras are not using IR in most conditions and will switch to visible wavelengths with enough light.
You could technically do the same thing with visible lights, but you’re going to annoy people if you’re walking around in a hoodie ringed with 1,000 lumen LEDs.


Essentially yes.
The GPL license is a way to take things that can be copyrighted and grant those rights to others with limitations (the limitations being the terms of the license).
However, the AI generated portions of the code are not copyrightable and so they’re considered public domain and remain so no matter what. Once something is public domain it is always public domain, no matter where it is used.
In practice, if someone wrote a function by hand and then the AI added some error handling code, then that person has a copyright to the lines that they wrote while the lines that the AI wrote are public domain. The entire function can still be licensed under the GPL but the copyright owner would not be able to pursue you for violation of the license if you used the error handling code in another non-GPL work as that portion is public domain.
From a legal standpoint, since the code isn’t annotated as to which parts were human written (protected by copyright/GPL) and which parts were not (and fall under public domain), it would be unwise to attempt to violate the GPL license terms by taking arbitrary parts of the code and releasing them without a GPL license.
The Free Software Foundation, the creators of the GNU GPL, has an FAQ that covers a lot of the details: https://www.gnu.org/licenses/gpl-faq.en.html#CombinePublicDomainWithGPL


I was considering selling bumper stickers with adversarial noise targeting the image segmentation portion of AI-using ALPRs.
In many states you can’t put anything over your license plate that would make it unreadable. However, you can put all the bumper stickers you’d like on your car.
I got the idea from Benn Jordan on YT (https://www.youtube.com/watch?v=Pp9MwZkHiMQ), he was training for noise to apply over the license plate… so he had to constrain the noise to being unobtrusive so as to not block the license plate.
However, if you’re not limited by that you could create images that AI, during segmentation, would detect as a license plate and send a garbage image to OCR.
If your users have multiple different devices which each have different codecs that they support it’s easier to transcode the movie in real time into a format that their device supports than to keep multiple different copies of the media with different encodings.
Graphics cards can do this but a Pi can’t.