Cute Warning

Log Off Protest - Phase Two!

December 29, 2018 (12 am Est) - December 31, 2018. (12 am EST).

This time around - we’re not logging off. Instead, we’ll be banding together and pressuring corporations on social media and app stores. There are two steps to this Phase that are as follows:

1) Mass Tweeting.

For EVERY DAY of this Phase (So at least one tweet December 29, December 30, and December 31), tweet @ the following:

@verizon @yahoo @tumblr @jeffdonof​

These are all corporations that own and are related to Tumblr. Jeff D'Onofrio is the CEO of Tumblr. Tweet at them saying WHAT is wrong with this ban, HOW it affects you, and WHAT you want to be done about it. Tag each tweet with #phasetwo2018!

2) Mass Reviews

Go to Tumblr on the app store of your choice (Apple or Google) and leave a negative review. Tell them WHY the ban is wrong, HOW it affects you and your experience, and WHAT you want to be done.

Post each review online with a screenshot. Tag each post with #phasetwo2018!  We need to lower their rating, and show them we mean business. No longer will be ignored. We’ll make them listen.

Timezones

U.S.A

EST - December 29, 2018, at 12 am

CST - December 28, 2018, at 11 pm

MST - December 28, 2018, at 10 pm

PST - December 28, 2018, at 9 pm

International

GMT - December 29, 2018, at 5 am

CST - December 29, 2018, at 1 pm

JST - December 29, 2018, at 2 pm

AEDT - December 29, 2018, at 4 pm

Need your timezone? Use this time zone converter.

An F.A.Q will come as questions flood in. Please message me here, on Twitter, or join our Discord and ask questions there. Thanks for your support guys!

Let’s end this year with a bang, aye?

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?

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.

The first thing it does is check tags, not even bothering to process “sfw” and “nsfw” tags, assuming they’re 100% accurate and that there are no bad human actors (seriously, tag whatever as #sfw and you’re safe right off)

It DOES use open_nsfw, but open source software isn’t the problem here (most good software for this sort of thing is open source)

It is powered by caffe, a solid and fast deep learning framework

It is NOT a single layer, it appears to be a pretrained model based on ResNet-50, one of the most powerful image recognition models out there

Bella, lining the outside of the window sill with silver butter knives and digging out all pieces of silver jewelry: “I can’t see him? Well then you can’t see me.”

_______

Edward: *being a dick*

Alice: *supporting Edward being a dick*

Bella, pulling out silver spoon from coat pocket: “Don’t fuckin’ make me use the spoon.”

_______

James: “You’re merely a human! How could you ever possibly defeat me?”

Bella, armed with her mother’s silverware while wearing 4 rings, 2 necklaces, and carrying a pocket full of silver coins: “….hmmmm.”

_______

Edward: “It’s dangerous to go into the woods alone.”

holy fuck.

why are staff so incompetent

rather than fixing their obviously very flawed code and development, they’re deciding to ban tits? fucking tits?

that being said, although it’s so unlikely this will happen to me, please know that it’s not me posting these links and photos. Please dont click on the links. 

I was working upstairs when I hear one of our baby leopard geckos start screaming. Normally they only scream when threatened, but this particular guy screams at almost everything. Turns out there was a small fly in his cage that was bothering him.

So the Spoon Theory is a fundamental metaphor used often in the chronic pain/chronic illness communities to explain to non-spoonies why life is harder for them. It’s super useful and we use that all the time. But it has a corollary.  You know the phrase, “Stick a fork in me, I’m done,” right? Well, Fork Theory is that one has a Fork Limit, that is, you can probably cope okay with one fork stuck in you, maybe two or three, but at some point you will lose your shit if one more fork happens.  A fork could range from being hungry or having to pee to getting a new bill or a new diagnosis of illness. There are lots of different sizes of forks, and volume vs. quantity means that the fork limit is not absolute. I might be able to deal with 20 tiny little escargot fork annoyances, such as a hangnail or slightly suboptimal pants, but not even one “you poked my trigger on purpose because you think it’s fun to see me melt down” pitchfork.