The more we engage with artificial realities, the more meanings get constructed by our perception. As our minds are accustomed to discrete representations of objects, they get confused by continuously generated morphings between visually indeterminate imagery. This way Artificial Intelligence fills in the gaps between visual concepts and it reminds us of the subconscious and free-flowing dreams.
The work was created by training a Generative Adversarial Network on a collection of several thousand photographs presenting various cities at night. It explores how visual concepts disintegrate and come into focus during the latent space traversal of the machine learning models. Ubiquitous spaces evoke a feeling of longing and nostalgia and are a metaphor for our solitary journeys into the inner self.