And in the latent space, there is semantic content that has meaning for the human eye and mind, and this resonates. After all, what is at issue is the meaning that we give to data. It is impossible to control or foresee the latent space, because it is a space of the unknown and unseen, of an accumulation of visual epistemologies or knowledge systems. The abstraction of the output allows us to contemplate the images and their language as a form of visual memory not limited to the input objects—a memory that transcends them, and which is able to generate new memory objects; the potentiality of an archive of infinite abundance. Through GANs, one generates new materialities, which rise to the surface as the affective qualities of the original in a post-original form.