They’re taking over

Yesterday, upon the stair, I met a man who wasn’t there.

I’ve shared articles about these fake, engineered nobodies before, but the transitions, animations and sliders in this piece from the New York Times are very effective, and great fun — a genuine individual on every frame.

Designed to deceive: Do these people look real to you?The New York Times
Given the pace of improvement, it’s easy to imagine a not-so-distant future in which we are confronted with not just single portraits of fake people but whole collections of them — at a party with fake friends, hanging out with their fake dogs, holding their fake babies. It will become increasingly difficult to tell who is real online and who is a figment of a computer’s imagination.

You think you know someone …

… but they turn out to be …

… someone completely different.

All these fakes — people, art, feet — it’s hard to keep track. Well, not any more.

This X Does Not Exist
Using generative adversarial networks (GAN), we can learn how to create realistic-looking fake versions of almost anything, as shown by this collection of sites that have sprung up in the past month.

Author: Terry Madeley

Works with student data and enjoys reading about art, data, education and technology.

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