In a Wired report on the Brony Thank You Fund -- a project of My Little Pony fans, AKA Bronies, that used a homemade commercial to raise money for toys for the children of military servicepeople -- delves into the unlikely Brony fandom. It gets interesting when Wired's Angela Watercutter talks with an expert who describes Bronies as part of a new "ultra-cult" era:
Charles Soukup, associate professor of communication studies at the University of Northern Colorado, said that in today’s cultural landscape — where heretofore “cult” topics like science fiction and comic books have become mainstream entertainment — brony-ing up might be the best option for creating a unique identity and nerding out.
“It appears we are moving toward the ultra-cult era in which media consumers discover extremely unexpected and obscure media texts to cultivate uniqueness and distinctiveness for their mediated identities,” Soukup said in an email to Wired. “Bronies are a kind of perfect storm of this new ultra-cult media consumption as they combine an intense unexpectedness (adult male fans of television programs designed for little girls) with the status afforded arbiters discovering undiscovered or under-the-radar media products.”
But My Little Pony fans likely won’t stay under the radar much longer, and twenty-something female scientists might be the beginning.
Bronies’ TV Spot Shows Changing Face of My Little Pony Herd
The Nightmare Machine is an MIT project to use machine learning image-processing to make imagery for Hallowe’en.
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
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