AI Can Detect Faggotry With 91% Accuracy

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  by FrenchDressing

  Originally published on The Purity Spiral Forum

  I consider my Jewdar to be top notch — shapeshifting merchants with anglicized names, or straightened tribe fros, are easy to distinguish based on my Chosen intuition. Perhaps one day AI will afford the same benefit to the masses as it has recently with identifying bum humpers via face detection software.

  The machine intelligence tested in the research, which was published in the Journal of Personality and Social Psychology and first reported in the Economist, was based on a sample of more than 35,000 facial images that men and women publicly posted on a US dating website. The researchers, Michal Kosinski and Yilun Wang, extracted features from the images using “deep neural networks”, meaning a sophisticated mathematical system that learns to analyze visuals based on a large dataset.

  The research found that gay men and women tended to have “gender-atypical” features, expressions and “grooming styles”, essentially meaning gay men appeared more feminine and vice versa. The data also identified certain trends, including that gay men had narrower jaws, longer noses and larger foreheads than straight men, and that gay women had larger jaws and smaller foreheads compared to straight women.

  Human judges performed much worse than the algorithm, accurately identifying orientation only 61% of the time for men and 54% for women. When the software reviewed five images per person, it was even more successful – 91% of the time with men and 83% with women. Broadly, that means “faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain”, the authors wrote.

  *Interesting developments right? You’d be wrong silly gentile. This new technology was only highlighted, b/c of the consequences it will have for discriminating against carpet munchers, butt pirates and the miscellaneous binary bizarros. Best to scrap it for ethical purposes. I’m sure the government will forgo its use as well. Oh, guess (((who wrote the article)))?

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