rubber dick debugging?

it’s apparently a lot more complicated here as well, i was just assuming the rate for pure ethanol was universal but it’s not.

yeah i know there are a lot of border shops. how much is it in norway? i think we have a tax of 500sek/l of pure ethanol

it is helped by the fact that systembolaget’s labels include the country of origin since basically forever. i’ve been looking a lot more on the flags this year.

honestly, call me a socialist but i really enjoy the liquor monopoly. …not the high alcohol tax or the fact that a beer that costs €1.3 including return at systemet costs €8 at a bar, but the fact that every single product is labeled by tasting experts with taste profile, charts comparing it to similar products, matching foods, country of origin etc.

yeah but dunders usually aren’t included in counts

chips on m.2 devices are already that small. i bought a 1TB one recently and it was mostly just empty.

… so i’m assuming this is just a new package?

all builtin constants are capitalised.

just like how lumberjacks get worse at using an axe after leaning on chainsaws.

Edit:
just to be a little less facetious, i’ll note that this is not related to the current ai hype at all. the medical field has been using machine learning for well over two decades at this point, and generally in the form of classifiers rather than generators. you feed it a bunch of x-rays and whether they show, say, lung cancer, and the system will automatically sort out things that look normal from things that don’t. this is a good thing because it means doctors can spend more time with patients. doctors also got worse at manually diagnosing broken bones when x-ray machines became common.

Edit 2:
a classifier basically just cooks an image down to some basic characteristics, then places it on a graph, and checks if it’s above or below a line it has used other images to refine. it looks like this:

say blue dots, are images that don’t show lung cancer, and red dots are images that do. where they end up in the graph is based some amount of factors that are determined by a medical professional. it doesn’t have to be 2D, it can be any number of dimensions. then, using one or more of the methods in the graph, the machine learning algorithm figures out where to draw the line between blue and red. then, when you feed in a new image, it can tell you whether it’s definitely in the blue area, and therefore normal, or maybe in the red area, and therefore worth a closer look by a doctor.

“it broke”

choose whichever, most children go down easily with either.

Edit: i should have read the body of the post

can’t stand undecided. he’s basically just reading ad copy.

don’t we all

…is it really headcanon when you’re the one making it?

mouth guard, one of those off-the-shelf ones that you boil. got most of the way through it before i managed to get a real one from my dentist.

“it’s new”

ask the founding fathers, they didn’t want them either

what the fuck

i don’t know, but there have been cases in other areas where failure to convict have basically become grounds for not prosecuting those cases. again, i don’t know much about common law, it’s not used here.

if i understand us law procedures correctly it could actually strengthen copyright law by becoming a precedent