Turbogaydar spots gay with 81% accuracy!

Ever wondered if your mate might be a closet poofta? Ever wondered whether Emelia Clark and Emma Watson might be secret lezzas? Well now the mystery is over with the super gaydar AI algorithm which can spot the gay with an 81% accuracy!

Just imagine what fun you could have if you ran this through your Facebook friends list.

New AI can work out whether you're gay or straight from a photograph

"Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research that suggests machines can have significantly better “gaydar” than humans.

The study from Stanford University – which found that a computer algorithm could correctly distinguish between gay and straight men 81% of the time, and 74% for women – has raised questions about the biological origins of sexual orientation, the ethics of facial-detection technology, and the potential for this kind of software to violate people’s privacy or be abused for anti-LGBT purposes.

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.

The paper suggested that the findings provide “strong support” for the theory that sexual orientation stems from exposure to certain hormones before birth, meaning people are born gay and being queer is not a choice. The machine’s lower success rate for women also could support the notion that female sexual orientation is more fluid."


Isn't science wonderful?
 
Ever wondered if your mate might be a closet poofta? Ever wondered whether Emelia Clark and Emma Watson might be secret lezzas? Well now the mystery is over with the super gaydar AI algorithm which can spot the gay with an 81% accuracy!

Just imagine what fun you could have if you ran this through your Facebook friends list.

New AI can work out whether you're gay or straight from a photograph

"Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research that suggests machines can have significantly better “gaydar” than humans.

The study from Stanford University – which found that a computer algorithm could correctly distinguish between gay and straight men 81% of the time, and 74% for women – has raised questions about the biological origins of sexual orientation, the ethics of facial-detection technology, and the potential for this kind of software to violate people’s privacy or be abused for anti-LGBT purposes.

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.

The paper suggested that the findings provide “strong support” for the theory that sexual orientation stems from exposure to certain hormones before birth, meaning people are born gay and being queer is not a choice. The machine’s lower success rate for women also could support the notion that female sexual orientation is more fluid."


Isn't science wonderful?
You poofter.
 

HHH

GCM
I have a 100 % foolproof way of telling if a female is gay,

I ask them out and if they say no, they're gay ! So far I've found out that 99.99 % of women are gay & 0.01 % are blind !
 
Does it take into account well coifed barnets and artistic facial hair
 
Last edited:
I have a 100 % foolproof way of telling if a female is gay,

I ask them out and if they say no, they're gay ! So far I've found out that 99.99 % of women are gay & 0.01 % are blind !
Where as I have found that 100% of females are straight.

Regards

Stud Muffin Stacker1
 
who needs AI to spot a shirt lifter cunts are in your face letting you know

Dirty bastards they are
 
in seeking to compare results with this computer programme, I stopped 100 random people in the street and asked them if they fancied a blow job

My subsequent conclusions are that approximately 6% of men are gay, and 100% of women are Lesbian

I hope this scientific study assists the further understanding of the human condition
 
in seeking to compare results with this computer programme, I stopped 100 random people in the street and asked them if they fancied a blow job

My subsequent conclusions are that approximately 6% of men are gay, and 100% of women are Lesbian

I hope this scientific study assists the further understanding of the human condition
Will that be a question on Family fortunes?
 
Is it from the same ACME school of research as this bit of kit, by any chance

 
I saw this in the AI thread too. It could be interesting to feed it a load of photos of the same person in different situations, and see if it gave the same result.
 
My baby niece wants a new cuddly toy so I searched google images for 'hairy bear' and it all went downhill from there.
Do not take her to one of those build a bear shops then, some of the bears couldn't be gayer if they minced onto the set of 300 butt naked cover in lube
 
DC what were you looking for when you cough stumbled upon that?


As its from the "handwringers gazette" aka the Guardian, one must assume he was exploring his "snowflake" side :)
 

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