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Using the same images, people could tell gay from straight 61% of the time for men, and 54% of the time for women. In both cases the level of performance far outstrips human ability to make this distinction. The model performed worse with women, telling gay and straight apart with 71% accuracy after looking at one photo, and 83% accuracy after five. When shown five photos of each man, it attributed sexuality correctly 91% of the time. When shown one photo each of a gay and straight man, both chosen at random, the model distinguished between them correctly 81% of the time. When the resulting model was run on data which it had not seen before, it far outperformed humans at distinguishing between gay and straight faces. The next step was to use a simple predictive model, known as logistic regression, to find correlations between the features of those faceprints and their owners’ sexuality (as declared on the dating website).
Gay cum facial software#
The images were then fed into a different piece of software called VGG-Face, which spits out a long string of numbers to represent each person their “faceprint”. This left 35,326 pictures of 14,776 people, with gay and straight, male and female, all represented evenly. Basic facial-detection technology was used to select all images which showed a single face of sufficient size and clarity to subject to analysis. The researchers’ program, details of which are soon to be published in the Journal of Personality and Social Psychology, relied on 130,741 images of 36,630 men and 170,360 images of 38,593 women downloaded from a popular American dating website, which makes its profiles public. Just because humans are unable to see the signs in faces does not mean that machines cannot do so. With the right data sets, Dr Kosinski says, similar AI systems might be trained to spot other intimate traits, such as IQ or political views.
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The researchers suggest the software does this by picking up on subtle differences in facial structure. Research at Stanford University by Michal Kosinski and Yilun Wang has shown that machine vision can infer sexual orientation by analysing people’s faces. Medical researchers have trained AI in smartphones to detect cancerous lesions a Google system can make precise guesses about the year a photograph was taken, simply because it has seen more photos than a human could ever inspect, and has spotted patterns that no human could.ĪI’s power to pick out patterns is now turning to more intimate matters. Facebook has used this ability to produce maps of poor regions in unprecedented detail, with an AI system that has learned what human settlements look like from satellite pictures. But its talents boil down to a superhuman ability to spot patterns in large volumes of data. Topher DiMaggio’s cum shots are what gay porn is for, and Angel Cruz’s face is the perfect co-star.MODERN artificial intelligence is much feted. Topher DiMaggio climaxing is, obviously, one of the most glorious things one could ever witness, and we can only dream of being majestically showered with so much cum in our own sex lives. Like a fire hose on crystal meth having a manic episode, his big dick erupts with so much cum so erratically, it is impossible to comprehend, and even more impossible to contain. Topher DiMaggio has the most wildly out-of-control cum shots in gay porn.
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Here in no particular order-except the very final “top three” down below-are The Greatest Gay Porn Cum Facials Of 2016! (Click any gif or link to watch that full movie.)Īnd, finally, here are the top three cum facials of 2016:ģ. One of the best parts (if not the best part) of any gay porn scene is obviously the money shot, and if that hot load of cum happens to be shot onto someone’s face and/or into someone’s mouth? Even better! With that in mind, Str8UpGayPorn is extremely proud to present the very best facial cum shots of 2016. Continuing Str8UpGayPorn’s 2016 Year In Review series, it’s another list that everyone should enjoy: Cum facials!