The archetypal object, therefore, results by combining several objects into one and can be recognized as a desk lamp thanks to a recognition system (like the ones used by Tesla and Facebook). When a machine sees an object, the recognition system will first reduce the noise in order to detect the essence of the object. When this matches with an archetype found in its database, it can recognize it, but when the ‘essence’ is distorted or added with the wrong data, the object won’t be recognized. This is demonstrated by the fact that if two blurred images aren’t perfectly identical, the recognition system highly believes that one of them is a desk lamp and the other one a ping-pong ball.