If last weekend you went to Twitter or instagram, you probably saw weird pictures of your friends or celebrities, in which they looked much older. No, they don’t fly into the future in a time machine to do a selfie, and not have aged inexplicably in just one night. They just used the app “Face AMS” (FaceApp), which is able thanks to the possibilities of artificial intelligence to predict how you will look in 40 or 50 years.

What is the application that is able to show us in the future, and do you dare to use it?

What is FaceApp?

FaceApp is a free mobile app, available in the “Apple app store” (Apple App Store) and “Google play” (Google Play) for devices based on Android (Android). Using artificial intelligence, this app allows you to produce a realistic transformation of care through various filters. In the App Store already has almost 200 thousand user reviews and ratings of this app is 4.7.

The old man to the 10th degree. This #FaceApp broke. Bring me the next one! pic.twitter.com/S4RXWqwXbR

Cybertronic (@raznaraz) July 15, 2019.

The FaceApp application appeared in 2017 and immediately spread with incredible speed. However, since then the developers have made many changes that allow you to make the final result more realistic in connection with what now began a new wave of popularity. The free version of the set of filters is limited, but don’t worry: the filter which allows to age of the person, the free version is. You can also change the facial expression, for example, to add a smile to change hair color or even gender.

You also have the opportunity to go back, although the filters, allowing to make you younger, for some reason, give not too realistic the result, and apply them not so fun. Perhaps it is because we know what we looked like when we were younger, so the success rate of the application in the case of this transformation is somewhat lower users just don’t know how they will look in the future.

How does FaceApp?

The FaceApp application was developed by a small group of programmers from St. Petersburg, Russia. “We have developed a new technology that uses neural networks to change the face, while keeping it photorealistic. For example, you can add a smile, to change gender and age or just make a face more attractive,” — said the Creator of the app Yaroslav Goncharov in an interview with “Tech crunch” (TechCrunch).

Goncharov explained that the main FaceApp advantage over its competition is that the resulting processing of the pictures are very realistic. “Our main competitive advantage — photorealism — he said. Even after applying the filter before you still your picture. Other apps change the pictures so that they become fun and funny, but they cease to be real photos”. You can take a photo using the functionality of the application, or load a photo from your gallery. However, for security reasons, be careful when an app requests permission to access your personal gallery of images. As in any other application FaceApp has a page where it explains how they can use the user content. In the case of FaceApp they recognize that they “may transfer the user content and your information with companies that are formally included in the same group of companies as FaceApp”.

“We also may share your information as well as information from tools like cookies, log files, device identifiers and location data, to third parties that help us provide you with our services”, — stated in the privacy policy document.

That’s fine for many applications, but if you find that alarming, then download this app for a while, and then remove it.

The controversy surrounding FaceApp

Currently the application has a filter “Hollywood” (Hollywood). We can’t exactly say what this filter should do. But in 2017 edition “Mashable” (Mashable) reported that the application has a filter which was heavily criticized when users noticed that it allows you to lighten the skin, so people seemed more enticing.

“We deeply regret this no doubt serious errors — wrote the potters, when users began to criticize the application for racist motives. — Is an unfortunate side effect of the underlying neural networks, caused by the imperfection of the training data set. To resolve this, we renamed the filter so that its name no longer carried any positive connotations”.

This filter was renamed to “Spark” (Spark) which you can rename back to Hollywood, because it allows the user to look more attractive.

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