But there's something even more utilitarian not to mention shallow artificial intelligence will soon give the world: The app is intended to help users choose which pictures they should include in a dating profile based on an algorithmic evaluation of their hotness, but it's ostensibly also useful in weeding out unattractive prospective partners, assuming you're the kind of person who requires an elaborate mathematical formula to tell you whether or not you're attracted to someone. In the next step, a deep neural network — something like an artificial version of the human brain — analyzes the face with the knowledge of all the images seen before to [make its rankings]. Even if the bot were to do a perfect job of distinguishing the hots from the normals and the uglies, Zimmermann said that the ultimate goal of Blinq isn't to distill cultural beauty standards into a mathematical formula. Rather, the app is meant to help people choose the profile picture that's going to get them the most messages, specifically from a pool of people they're most likely to find attractive.
Since Microsoft put my face through the wringer, my skin and the lighting should be perfect. In round three on Blinq, I tried out a photo with heavy makeup from when I went undercover to beauty counters. This time, the app also guessed my age correctly the photo was taken days before my 23rd birthday. Does it really take this much makeup for me to look my age, though?
I always knew I had a baby face, but not one that made me look four years younger than I am. Microsoft had the answer with how-old. This is likely because their method of determining age is objective. I turned to pinkmirror. It employs aesthetic principles like the neoclassical Rule of Fifths and Rule of Thirds to determine beauty, then ranks you on a facial attractiveness scale of A fun twist is that it generates a perfected version of your face as well.
PinkMirror gave me a much more favorable rating than HowHot. I was flattered to earn an overall 8. Once my ego was restored, I tried putting my newly perfected face back into howhot.
The Evolution of the Perfect Female Body.
New dating app uses 'science' to rate how attractive you are
Jobs growing; wages growing; inflation stable. Low inflation; expanding employment opportunity; low unemployment; and rising wages. These measures all have a cumulative impact on paycheck-to-paycheck Americans.Let This Dating App A.I. Tell You How Hot You Are
Prices for durable goods are stable and wage growth is exceeding inflation. That means more disposable income in the middle-class…. Next, the AI broke down the face into component parts, measuring the proportions of the face as it did.
Finally, the AI made a prediction about age and hotness based on what it had learned from previous entries. While users on the internet had fun feeding the AI strange pictures and it sometimes made wildly incorrect guesses, the Blinq AI is still a useful lesson in the challenges of AI, and how it works. It involves supplying an AI with a photo and then asking it to identify the person based on a database of past photos.
It turns out that AI is still not that good at doing this kind of comparison. It involves finding a face within a picture. AIs accomplish this through a series of tests to recognize facial features like eyes, noses, mouths, and ears.
Swiss dating app blinq
This is face detection at work. Before Blinq could give hotness ratings, it had to learn what hot means. This is harder than you might imagine. While humans learn to recognize faces and beauty naturally, the Blinq AI had to learn about beauty mathematically. The developers then supplied more than 20 million ratings of those images to the algorithms. Using those 20 million ratings, the AI actually learned what proportions and facial features make a face hot.
The difficulty with such a system, and why it had so many problems when launched to the world, is , data points is not very much. Remember that the Blinq app where the data came from is based in Switzerland, and the user ratings are Swiss ratings. As such, the AI did a poor job of judging attractiveness in other parts of the world.
One post on Hacker News found that Denzel Washington, a black actor known for his good looks, was only found to be mildly attractive, and the issue persisted with other faces from different races. This is an important reminder that AI is only as good as the data you give it. If your data is biased, the AI will be, too. In the end, the founders of Blinq put the company up for sale in October