Yes, "the situation is developing". I'm sure those are words of comfort to the Spaniards currently hosting the "invaders" (again, your word).
https://bird.makeup/users/visegrad24/statuses/2082836335367258318
"LinkedIn, a social network awash with long AI-generated posts from executives and other corporate workers, has introduced a new button that users can click to flag if a post “seems like AI slop,” according to [@404mediaco's] own tests."
@stml
Huh, now that's got me thinking about practical alternatives. I bet you could make something work with a bungee system and an oversized panel that would work. You'd have to design it in from scratch, though, because zippers make door panels a part of the structure of the tent under wind loads that this wouldn't.
@SeattleSanchez improving the public transport options is a work in progress. Including more PT modes and adding better route planning based on PT schedules: https://codeberg.org/comaps/comaps/projects/36008
Had fun last night hacking on a new gadget project with my son. Still a long way to go… Hoping to take apart this iPod and 3D print new guts for it. It might not work! Next step is soldering the microphone to test.
@Codeberg @guenther And based on my Github experienes, despite my projects being legit and actually a result of hard work, they draw attention of the slop tribe. They see in their own eyes doing as good stuff because that's how that drug kicks in. It's geek blow. So I gladly keep coding agent plugin elsewhere. Gitlab is great because it is the least-sexy Git hosting site :-)
The second question is always: How do you deal with the glare!? Don't you have to keep the blinds down all day? And the answer is no, thanks to 3M and SCIENCE! Incredible technology. https://www.3m.com/3M/en_US/home-window-solutions-us/solutions/glare-reduction/
https://bird.makeup/users/davidsenra/statuses/2082261263963537428
Texture mapping most likely at least inspired tiling and optimizations where representative candidate tokens are cherry picked and combined with a factor clearly seem to do miracles for my Qwen32-VL-2B implementation. Here's benchmark results.
caption, medium 43.3% faster, low 46.2% faster
OCR, medium 44.1% faster, low 44.8% faster
I've now used to more like 0,5-3% increases so this is really motivating bump :-) Aforementioned types of optimizations are also super-intuitive if you've ever worked e.g. with texture mapping or color quantization.
