This will be my last post on this site.
Currently, i am on: Discord, as Dragaroth#0418 Mastodon.social, at https://mastodon.social/@RoyalDoggo I will keep my blog(s) up as an archive, and will update this post if i join on any other site.
Anonymous asked:
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
oneiroteuthis
But wait, it’s even weirder than that!
This is gonna produce some absolutely baffling pornography.
…. 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.
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.
@crazy-pages, can you link me to the software? I’m curious about what stack they’re using, as a Data Scientist myself. When you say “open source software” I hope you’re no talking about Tensorflow or Pytorch or the like, because that’s fine…if their specific script and model are public, though…
It gets even worse. It will not require hundreds of man-hours to deal with the backlog.
Because the review team is another net, and I’d bet cash money it’s another copy of the same software.
That imperceptible static trick? I did basically that. Both copies got flagged by the initial censorbot.
One copy, the less justifiable one by tumblr’s stated rules, was approved. The other was not.
Someone pointed me to another blog - I forget the name - that posts the same picture every day, and was getting similar results. Inconsistency in both flags and reviews.
And that’s never going to get better either.
But the pornbots have learned to use non-sexual keywords and tag #sfw already, so there’s that.
total drama is just kidzbop danganronpa
This post is so incredibly, powerfully horrible that I’m your arch nemesis now OP
Dr Seuss: ‘Maybe Christmas,’ he thought, ‘doesn’t come from a store. Maybe Christmas … perhaps … means a little bit more!’
Illumination:
I’ve been trying to leave Rome for a few weeks now, but all their roads have this weird design flaw
here have a second video of the ones that missed the cut for part one
This is such a weird mix of some of my favorite vines and ones I’ve never seen before and I love it
glad you like it
peevesies
can u believe that red lipstick lip sync vine lady and TAMPONS brother vine guy are married now
I had a dream last night where I was watching a high school comedy on Netflix, and the protagonist’s horrible secret was that he was really a collection of random woodland creatures being directed by a fungal hive-mind. He was terrified that people would discover what he really was, mostly because he thought it would ruin his chances of scoring a date. The film’s narrative did not at any point address why folks didn’t just notice straight away that he was obviously a pile of squirrels roughly fashioned into the shape of a human.
More fuzzily remembered details:
- It wasn’t just squirrels – I clearly remember that the protagonist’s “legs” were raccoons, and I seem to recall that there was a badger somewhere in the mix, too
- Each woodland creature’s membership in the hive-mind was denoted by a perfectly formed mushroom perched atop its head, Earthbound style
- In spite of forming a unitary consciousness, the woodland creatures were also individually capable of thought and speech, and would often criticise each others’ performance
- There was also a bear that was a member of the same hive-mind, but didn’t participate in the masquerade on account of being too large; I don’t recall whether the bear actually did anything plot-relevant, or whether it was just there
hielario
Why the hell did the fungal hive-mind want a date.
Because it was the protagonist of a high school comedy. Obviously.
HEY. HOW DID YOU GET SO BIG.
WHAT KIND OF DOG ARE YOU.
I HAVE QUESTIONS FOR YOU.
when you see a half eaten cheeseburger on the mcdonalds table adjacent to you and its like animal crossing pick up item noise
accidentally clicked on r/frugal and this is the top post and i’m losing my mind
tHEY USED SHELDON COOPER FOR A MEXICAN HAIR LOSS AD
no they used antes and despues