10,000 fake persons
in the peace

created by machine & Ai

A collage of 10,000 unique nonexistent persons generated by the artificial intelligence called GAN (generative adversarial network), no human was involved in the creation of these person images, a machine created them by machine learning and artificial intelligence algorithms.

Original Work (100×100 persons)
Original size (1024×1024 pixels each image)

This collage artwork resolution is 100,000,000 pixels (100 Megapixel)

Each person is 1024 x 1024 pixels originally and in the artwork each image is 100×100 pixels

“Forgiveness equals inner peace
more peaceful people equals more world peace.”

Richard Branson

Learn more about


A generative adversarial network (GAN) is a class of machine learning frameworks designed by Ian Goodfellow and his colleagues in 2014. Two neural networks contesting with each other in a game (in the form of a zero-sum game, where one agent’s gain is another agent’s loss). Given a training set, this technique learns to generate new data with the same statistics as the training set.

For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of a generative model for unsupervised learning, GANs have also proven useful for semi-supervised learning, fully supervised learning, and reinforcement learning.