Living Dan-gerously @livingdan-gerously - Tumblr Blog

It’s been real Tumblr.

Not sure how long I’ve been here. 7 years? 8 years? Longer? I’ve met all sorts of friends and even a couple exes. You’ve always been terrible, but you were always there. So I guess I just settled all these years. I’ll be around for a while still; until it’s really not worth it or something better comes along. I suppose time will tell.

Thanks for all the laughs.

#staff #rip

vintagegeekculture

If you’re like me, you’re extremely disturbed by Tumblr’s new policies, which harm many fan artists and fan communities. I hope you join me in the mass blackout on tumblr tomorrow on the 17th. Don’t sign in, don’t post anything. I will be posting something on my Facebook page, so check it out there.

livingdan-gerously

Started a new blog.

If you want to see what unsexy things I get up to, feel free to follow @dan-gerous-ideas.

livingdan-gerously

I know the 6000+ of you are here just for the porn (and I don’t blame you, I have great taste) but if you feel like seeing more of the stuff on here that isn’t porn, come on over to the new blog.

korpsekitten

What are your maids up to when you’re not around? Let’s hide a camera and find out!

🌙Full Video here!🌙

🍑Momoka Koizumi🍑 @momoka-koizumi

🐼Kaedia Lang🐼

💫Nicole Eden💫

🌧Evie Rain🌧

lutefisk-kingdom

So… I got to cosplay Marceline at New York comic con

With Grandfather’s Help by pav327

perle-glaciaire

ihateiu

who-is-the-barest-of-them-all

this gif has been in my drafts since last year x

#cutie

theliberalstookmydrills

Art By IG: @alysontabbitha

Instagram: @artwoonz

waywardcryptid

#holy shit

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.