Samsung doesn’t have an internal team that determines what images should look like, rather it uses crowdsourced data to determine what the average person believes looks best in an image. They do this by actually holding focus groups with users from around the world and ask them what about images they like and what could be improved. The goal is to try and pinpoint what aspects of an image the company can focus on to appeal to the most users the most amount of time.

The conversations can get pretty granular, though. In trying to suss out what people like about their favorite images, Cho says discussions can veer toward subjects like color tone and saturation, noise levels, sharpness of details, overall brightness and beyond, all so Samsung can tune its HDR models and its smart scene optimizer to deliver what he calls “perfectly trendy” photos.

Samsung envisions a future where the same photo taken by multiple people will look different for each of them, with AI able to know exactly how to best please each individual.

When there are ten people taking a picture of the same object, I want the camera to provide ten different pictures for each individual based on their preference,” Cho says.

Cho explains that the right neural engine could look at a person’s album to determine what they saved and what they deleted, examine the filters they use, and track trends with how the image might be edited.

“Those are some of the things that we could look at in order to ensure the system learns about the user,” he says.

As result of this idiotic approach Galaxy S21 Ultra renders images such a way that all fine details are heavily sharpened so you can see artifacts, colors are pumped to become unreal, and auto smoothing computationally “airbrushes” faces so they look like photos on cemetery.

We need to do something with Korean and Japanese management, they become enemies of the people.