King Sugilite

CAN YOU HEAR ME? LOUD AND CLEARLY \\Pan\\Cis\\ He/Him/His

[deafgaming]

[ourstrangeduet]

Our planet is getting so hot cause tom hardy is out here with those lips and ass

[beyonslayed]

[foolsgetlucky-deactivated202007]

@justiceforamydunne

[kristina100000]

[portraitofadumbassonfire]

[sexhaver]

highways in Massachusetts do this really cool thing where a lane will just abruptly disappear at inopportune times (right after highway entry ramps, in roundabouts, etc). half the time the sign warning you of this is placed basically where the lane ends anyways and the other half there just isnt a sign at all. there’s a part of my commute where the road goes from three lanes to one in 500 feet with no signs

[sexhaver]

this is what happens when you let horses from the 1800s do all of your city planning

[somethinginthebasement]

god, kelly square is a fucking nightmare i swear everytime i go through it everyone decides to purposely ram into your car

[sexhaver]

one time i was driving through kelley square and someone fucking reversed at me. it is truly a godless patch of asphalt

[theotheristhedoctor]

I love watching Americans get angry about roads with more than two options

[colorguard5ever]

I don’t think you understand the horror that is Kelly Square, but I’d love to see a worse intersection if you know one

[sugary-bowl]

I think the most solid advice I was given about Kelly Square is “you just go if you don’t go that’s when you die”.

[chocolate-alchemy]

Massachusetts doesn’t believe in visibility, adequate lane width, or any form of predictability in roads. Five way intersections with no lights or clear right of way with bonus one of the spokes is at some absurd angle and is hiding behind a hedge - yeah that’s pretty average and thanks I hate it.  You just drive and hope it all works out for the best, teeth grit and eyes steely as they gaze into traffic hell. Also they have a problem and that problem is their love of circles one after the other with traffic lights in the middle. What the fuck my dudes.

[fantasyrizzo]

listen once you’ve been through it several dozen times you just gotta trust your gut instincts and take no shit from anyone else trying to muscle their way in

[cultofthepigeon]

when i was checking out colleges in boston another girl on the tour, a native bostonian, said “you dont use turn signals. thats like showing your enemy your next move” and to this DAY it haunts me

[nintendadd-deactivated20221126]

@veronicaistired be thankful we don’t live in Boston

[charizord]

Highkey miss them tbh

[osakaxkobe]

[the-chanel-boots-deactivated202]

today’s the last day you’re allowed to be horny

[maxinbc-deactivated20210518]

True, please be horny

[coniaii-blog]

Ghost boy 

[once-an-anime-blog]

[humansoflatecapitalism]

[lauralot89]

Once, I encountered the funny story of an AI image descriptor with a sheep obsession. It had been trained on pictures of fields of sheep. Therefore, it tagged anything in a field as 'sheep', including an empty field, because they work on statistical probability. Therefore, it thinks "ah, a field! there's probably a sheep here." (It's a bit more complicated but basically that.) It also couldn't recognise sheep in places that weren't fields, such as petrol stations or barns. [cont]

Now, the alarming aspect of this story is that the very same technology is probably what tumblr is using to identify porn. Now, if it can’t tell that an empty field is not, in fact, full of sheep, what hope do we have that it can’t tell an empty room isn’t full of writing human forms engaged in passionate coitus?

this really does sound like an episode of black mirror

[architeuthism]

But wait, it’s even weirder than that!

[retroactivebakeries]

This is gonna produce some absolutely baffling pornography.

[crazy-pages]

…. oh my fucking god they actually are using open source software. They’re using a fucking one-layer unidirectional bicategory tag-trained neural network. This will never work. Literally, it will never work. There’s just not enough algorithmic complexity to do what they’re asking of it. I bet you I could prove on a mathematical level that this joke of a neural net fundamentally lacks the abstraction necessary to do its job.

This will never get better. Their algorithm will never stop fucking up, it will never actually flag porn reliably and it will always require a massive quantity of human hours to deal with the deluge of mistagged pictures. This isn’t just a case of an insufficiently trained algorithm, it’s just … this is the most basic neural network you can make. It probably hasa a lot of neurons and has loads of training data but like … you can’t just brute force this kind of stuff. One layer of neurons is just Not Enough.

[crazy-pages]

Also, just to make this clear, Tumblr lied. I mean, we already know this, but I mean they liiiieeeeed. All that stuff they promised about what would or would not be censored? That cannot be delivered on with a system this simple. Nude classical sculptures, political protests, male-presenting nipples (really Tumblr?), nude art outside the context of sex, all that? You cannot train a bicategory one-layer neural network to exclude those things. It cannot be done. Tumblr never intended for those things to actually be permitted, they were just lying. Because the system they have cannot actually do what they said it would and never will be able to.

Also, this kind of system is super vulnerable to counter-neural strategies. I bet you before the end of the month someone hooks up their own open source one layer bicategory neural network which puts an imperceptible (to humans) layer of patterned static over arbitrary images, and trains it by having it bot-post static-ed images to Tumblr and reinforcing based on whether the images are labeled nsfw or sfw. Seriously, within a month someone will have an input-output machine which can turn any image ‘sfw’ in Tumblr’s eyes.

This is genuinely pathetic. Like, I have real pity for whoever implemented this, because it’s clear Tumblr doesn’t actually have any engineers with any expertise with machine learning left at all and they foisted the job off on some poor bastard who has no idea what they’re doing and is going to get all kinds of flak for their (perfectly reasonable and predetermined) failure from management.

[garbage-empress]

As has been pointed out before, there are no humans behind this at all. The review process just reruns either the same algorithm or another algorithm, but people have posted screen shots showing obviously SFW pictures that were still deemed NSFW on review, despite the fact that any human, no matter how overworked / tired would have seen that these pictures were not porn.

[thechocobros]

December 17th ™ , Kingdom Hearts’ starter pack. 

[therunawayhistorian]

5 year old: 🎼 Bob the builder can he fix it?!

Edgy 5 year old:

[therunawayhistorian]

5 year old: 🎼 Bob the builder can he fix it?!

Edgy 5 year old:

[sansgod]

[akageesus]

« Category is… ROYALTY. »

[lift-every-voice-and-sing]

[thehighpriestofreverseracism]

my respect for kehinde wiley has increased by x2

[they-never-cared-anyway-deactiv]

are yall okay? cause this isnt okay?

[thehighpriestofreverseracism]

okay according to who?

more artwork with beheaded white people plz

[drankinwatahmelin]

They used to trade postcards of lynchings and since that’s a bit “taboo” now they circulate pictures and videos of Black people being executed by police so miss me

[thehighpriestofreverseracism]

ex-fucking-actly

[adulthoodisokay]

Also that painting is called “Judith and Holofernes.” The biblical story was a common theme for Renaissance paintings.

Here’s Caravaggio’s version:

Artemisia Gentileschi‘s version (shown below) is known for being particularly gruesome. It was painted after she was raped. Quite unusually, she participated in the trial against her rapist (and was tortured during the trail to ensure she told the truth.)

Kehinde Wiley did an entire series about the representation of women in classical Western art, of which this piece was a part. This NY Mag profile from 2012 is really interesting if you want to learn more.