DONT LOOK AT THIS JADE DREW IT NOT ME I JUST NEED TO UPLOAD IT SOMEWHERE FOR BIT BAZAAR APPLICATION

DONT LOOK AT THIS JADE DREW IT NOT ME I JUST NEED TO UPLOAD IT SOMEWHERE FOR BIT BAZAAR APPLICATION

@7 months ago
vicomart:
“carrier friend, where do you run to?
(I’m super late to the party but sufjan steven’s new album is SUPER GOOD)
”
I LIKE MY OWN POSTS ON TUMBLR, I REBLOG THEM
YOU
CAN’T
STOP
MEEEE

vicomart:

carrier friend, where do you run to?

(I’m super late to the party but sufjan steven’s new album is SUPER GOOD)

I LIKE MY OWN POSTS ON TUMBLR, I REBLOG THEM

YOU

CAN’T

STOP

MEEEE

@1 year ago with 10 notes
psychedelicfelon:
“ lcewarden:
“ the-good-captn:
“ biolizardboils:
“everyone please look at this form harold filled out in kindergarten
”
Fight the system. Harold.
”
i, for one, wish to read some dogman comics
”
A legend
”

psychedelicfelon:

lcewarden:

the-good-captn:

biolizardboils:

everyone please look at this form harold filled out in kindergarten

Fight the system. Harold.

i, for one, wish to read some dogman comics

A legend

(via breathingink)

@1 year ago with 110601 notes
thegetty:
“thegetty:
“ thegetty:
“Something is telling me this artist has never seen an elephant before…”
Exhibit A. ”
Exhibit B.”

thegetty:

thegetty:

thegetty:

Something is telling me this artist has never seen an elephant before…

image

Exhibit A.

image

Exhibit B.

@1 year ago with 576 notes

reaperfromtheabyss:

boushi–adams:

coffeestainedx:

David Bowie - Interview - Afternoon plus - 1979  [x]

Not much has changed in the way people treat bisexuality smh

“are you bisexual” “yes” “i’m not sure i understand” “I’m bisexual” “what do you mean” “ThAT I AM BISEXUAL”

(via kateordie)

@1 year ago with 317819 notes

The neural network meets its match: Fish biologists

lewisandquark:

image

(Drawing by Max Graenitz)

I train machine learning programs called neural networks - they work by looking at lists of data and then deducing their own rules about how to generate similar data. They’re used in everything from ad targeting to facial recognition to self-driving cars, but I use them for humor by giving them very silly datasets.

Usually in my experiment, I give the neural network an unfair dataset - like paint colors - and it tries its best, but ends up with something unintentionally weird, like a brownish color called Stanky Bean, or a bright blue color called Dad.

Fish biologist Colin Gross sent me a new dataset for the neural network, a list of the common names of 37,265 fish from fishbase.

I gave the list to an open-source neural network and let it start trying to generate more fish.

Here’s a snapshot of its early attempts, as it tried to spell common words like “butterflyfish” and “shark” and “snapper”

Blue-spotted erlerfish
Seer batterfly
Seelet guby
Pit-hard fish
Seate shurper
Seelee murchlip
Segfish
Seare moatherfish
Seale multerflyfish
Seeled cudfish
Seored barshont
Seare sputterfish
Spotfin spunterfly
Spotfin sul shripper
Sponted stripper
Spotfin shurk
Spotfin snarper
Blue-spotted mrinnfish

But then, it got good at this. I mean, really really good at this. You may think these names are the neural network being weird? No. They are pretty much indistinguishable from actual fish common names because, let me tell you, fish biologists are the weird ones. 

The rest of this post is going to be the neural network’s ode to its new best friends, the fish biologists. And, I am very lucky to have excellent drawings by the talented Max Graenitz who wanted to get in on the weird-fest.

image

Black Sea sweetlips
Eastern Dear eel
Oastern nose sucker
Vermillion assfin
Cuban fork head sucker
Gempofloise sand flaky
Vumberfish
Gerpike dwarf monocle bream
Wrink clown-shark
Bluebanded smooth-eet
Bluebacked tube-spot skate
Wallare pipe-eyed parrotfish
Moon-lined wad
Kascopcan tonguefish
Highfin stonebasher

image

Dantuman ghost puffer
Moo lanternfish
Darfer butterflyfish
Hornmack croaker
Horny deepwater darter
Horseshark
Orangespotted smooth-hound
Yellow-black yellowtail dragonet
Small-dotted catshark
Small-mouthed unicorn fish
Orangespotted tilefish
Horse-eye grunt
Horse-snout fang-tailed dogfish
Pacific squeaker
Pacific headless lamprey
Little weakfish

image

Mottonsfish
Danubiec spring-striped lumpsucker
Kaire-fin eartheater
Sputtail
Vague-lined sleeper-banded soapfish
Dangle shark
Daui’s deepwater redhorse
Khan’s hound shark
Rathead batfish
Lanto sand tiger unicorn fish
Bockon cubehead
Bow spiny lumpsucker
Boster weedfish
Deep dogfish
Binder’s flathead parrotfish
Hawaiian Stump ray
Black Sea gardenfish
Black Sea jobfish
Horny humbug

image

Short-nose batfish
Short-nosed leatherjacket
Short-nosed jewelled-eyed rainbowfish
Short-lined pigfish
Short-toothed trumpeter
Short-face shrampgoby
Short-headed hogfish
Bokinker’s tubeshoulder
Bottlenose wobbegong
Bostriebann flute-tooth wolffish
Boguu dragonet
Pighead mullet

image

Moanygoby
Mottled utterfish
Kack’s coral gropes
Kalhal gardensean block ray
Wurp fish
Whitley assfish
Sudderspot happy ghost-perch
Sucking puller
Sunsetnose spider shark
Witcheefin squirrelfish
Orangeside slickhead
Hawaiian doctorfish
Chornacher comb-tooth
Black Sea lampeye
Striped flying fang loach
Striped hone-spine dottyback
Greater butterfly tube-snouted ghost knifefish
Cuban armoured cat

image

I’ve posted the original dataset so you can see I am NOT KIDDING about how weird fish names are.

Want to help with neural network experiments? For NaNoWriMo I’m crowdsourcing a dataset of novel first lines, after the neural network had trouble with a too-small dataset.

Go to this form (no email necessary) and enter the first line of your novel, or your favorite novel, or of every novel on your bookshelf. You can enter as many as you like. At the end of the month, I’ll hopefully have enough sentences to give this another try.

(Source: lewisandquark)

@1 year ago with 1121 notes

uuh im putting these here cause I need to link to them pay me no mind

@1 year ago with 2 notes

dear-tumb1r:

becausebirds:

When you’re trying to do homework but you can’t because birds

Human: *attempts typing*

Birbs: >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V >:V

(Source: becausebirds, via samthespaceguy)

@1 year ago with 537976 notes

spywerewolf:

dailybadjokes:

I tell dad jokes but I have no kids.

I’m a faux pa.

This post gave me a stroke

(Source: daily-bad-jokes, via kateordie)

@1 year ago with 83598 notes

medievalpoc:

From Medievalisms in the Postcolonial World ed. Kathleen Davis and Nadia Altschul; “Medievalism and the Making of Nations” by Michelle R. Warren

In the course the of the nineteenth century, many European countries mapped their national identities onto medieval history. Assertions of ancient originds had of course long served in many different places, to legitimize and fortify kingdoms, nations, and other collectivities. Such assertions supported desired for seamless historical continuity and homogeneous shared culture-and they often still do. Prior to the nineteenth century, Europeans often looked to ancient Rome as illustrative of their prestigious cultural heritage. In the course of the nineteenth century, however, Europe’s own Middle Ages came to serve the same function, offering the ideological advantage of ethnic goupings that could be mapped down directly onto contemporary European nations. Medieval Europe  could thus sustain claims of relative superiority as well as difference. As the Middle Ages because a privileged site for expressions of national character and achievement, scholarly debates about the nature of medieval societies and their cultural legacies took on a poignantly political tinge.

The period in which Medieval studies became “national” coincides with a period in which colonialism also played a substantive role in definitions of a national identity in Europe. For many countries, this meant expanded efforts to control overseas territories; for others it meant the progressive loss of overseas holdings; for still others, it meant a new de facto identity as a “non-colonial” power. Colonialism, like medievalism presented European nations with contradictory discourses. Newly conquered territories appear alternately as unappealing and invaluable, “hell on earth” or “promised lands”; the medieval could represent the uncivilzed primitive or the ancient cultural presence od the modern nation. This shared oscillation between “positive” and “negative” valuations invites similar treatment of distant places and dis-[page ends]

S.J. Pierce on twitter shared this page from a very fascinating-looking academic book of essays on, well, medievalism and how it has been used in the post-colonial world. I see something like this and i immediately think of how the popularity of a show like Game of Thrones serves *our* particular present-what kind of violence today does this imagined “worse” past try to justify in our current sociopolitical climate? How does projecting colonial levels of violence, conflict, and atrocity onto the trappings we associate with a “medieval” and Eurocentric past affect our ideas and conceptualizations of the present?

It also makes me think on why so many white supremacists feel comfortable marching around, spewing hate and terrorizing communities of color in public, have felt so comfortable in medieval studies and brandishing symbols they consider “medieval” as if they somehow justify their terrorism?

I’ll probably make a separate post to discuss specific heraldry and symbols, because what medieval(ish) pedant could resist wrangling about that? But overall, it makes me both heartened and somewhat frustrated to see that more medievalists and classicists are taking a stand against the misappropriation of these symbols by violent white supremacists. Heartened, because the knowledge that these symbols do not mean anything like these Nazis want them to mean is getting louder and more visible; frustrated because the reason they feel entitled to use them in this way is because white supremacists and have tolerated, and even coddled, in academic spaces by far too many people in authority there.

It’s my hope that more and more people in these disciplines investigate what about their environment has encouraged this kind of vile element, and even drawn them towards these academic circles. I’ve already seen changes since I began liveblogging my research in May 2013; it’s my hope that despite the increasing backlash those who are working towards the betterment of our academic institutions will take even more initiative to make sure that white supremacists of any and every stripe will not feel welcome.

@1 year ago with 662 notes