︎3D Environment, Concept Video, 1:29 3D环境, 概念视频
︎Sound背景音乐: Gargamel & Cholic by Rumpistol
︎︎︎Process Documentation过程记录


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?


然而,人类的现实与机器不同。“人工智能的负担似乎在于它无缘无故的需要的需要按照从细节(愿译为‘原子‘)到整体的顺序来处理。” Hubert Dreyfus使用了“负担”一词来描述机器的分析能力,但也许某种程度上它并不是负担,而是一种“自由”?