Deepdream is a computer algorithm designed to detect faces and other patterns in images with the aim of automatically classifying images.
Once trained, the network can also be run in reverse, being asked to adjust the original image so that a given output neurons elements, let’s say faces or animals, yields a higher confidence score.
The human reality, however, differs from ones of machines.
"The burden of artificial intelligence is indeed its apparent need to proceed in futility from the ATOM to the whole. Hubert Dreyfus used the word ‘burden’ to describe machine’s analytical ability, but isn’t it a ‘freedom’ instead of burden?
People, on the other hand, effectively seem to perceive first a WHOLE and only then, if necessary, analyze it into atoms.
The ability of the AI to neglect the boundaries, the limit between bodies and see the fundamental elements that represents complicated forms, building uncommon connections in neural networks. We are able to see the world in a new level of detail. A cellular sight into the world of neural network, an approach of zooming in. Each individual neurons and weights are worth of inspection. Information gets passed along , tracing through every neuron and its connections.
How do AI dream, and how do we perceive computer visions? How do machines create a post human world where life and nature evolves in digital forms?