https://en.wikipedia.org/wiki/Wikipedia:Articles_for_deletion/Deletionpedia_(4th_nomination) 😭

big oof.

We can conclude: that photo isn’t AI-generated. You can’t get an AI system to generate photos of an existing location; it’s just not possible given the current state of the art.

the author of this substack is woefully misinformed about the state of technology 🤦

it has, in fact, been possible for several years already for anyone to quickly generate convincing images (not to mention videos) of fictional scenes in real locations with very little effort.

The photograph—which appeared on the Associated Press feed, I think—was simply taken from a higher vantage point.

Wow, it keeps getting worse. They're going full CSI on this photo, drawing a circle around a building on google street view where they think the photographer might have been, but they aren't even going to bother to try to confirm their vague memory of having seen AP publishing it? wtf?

Fwiw, I also thought the image looked a little neural network-y (something about the slightly less-straight-than-they-used-to-be lines of some of the vehicles) so i spent a few seconds doing a reverse image search and found this snopes page from which i am convinced that that particular pileup of cars really did happen as it was also photographed by multiple other people.

🥛🤝🦆

(it's odd that PBS is promoting this, as it is actually a terf movement)

RedHat was a major military contractor with job postings like this current one [archive] long before they were bought by another older and larger military contractor.

https://en.wikipedia.org/wiki/IBM_and_World_War_II

https://web.archive.org/web/20240530005438/https://www.redhat.com/en/resources/israeli-defense-forces-case-study (original is 404 for some reason)

them: fedora is the lesser evil

me: but why do they have job listings like this [archive] with requirements like "This position requires daily on-site work at Fort Meade and an active Top Secret/SCI clearance with Polygraph" ? 🤔

they aren't the only animal that does it: https://en.wikipedia.org/wiki/Kleptoplasty#Animals

Lets Enhance is a pretty great supercut, but nothing beats the original Blade Runner scene.

enhance 224 to 176

enhance, stop

move in, stop

pull out, track right, stop

center and pull back, stop

track 45 right, stop

center and stop

enhance 34 to 36

pan right and pull back, stop

enhance 34 to 46

pull back, wait a minute, go right, stop

enhance 57 to 19

track 45 left, stop

enhance 15 to 23

give me a hardcopy right there

only hobbyists and artisans still use the standalone carrot.py that depends on peeler.

in enterprise environments everyone uses the pymixedveggies package (created using pip freeze of course) which helpfully vendors the latest peeled carrot along with many other things. just unpack it into a clean container and go on your way.

The canonical documentation is https://www.kernel.org/doc/Documentation/filesystems/proc.rst (ctrl-f oom) but if you search a bit you'll find various guides that might be easier to digest.

https://www.baeldung.com/linux/memory-overcommitment-oom-killer looks like an informative recent article on the subject, and reminds me that my knowledge is a bit outdated. (TIL about the choom(1) command which was added to util-linux in 2018 as an alternative to manipulating things in /proc directly...)

https://dev.to/rrampage/surviving-the-linux-oom-killer-2ki9 from 2018 might also be worth reading.

How to make your adjustments persist for a given desktop application is left as an exercise to the reader :)