︎
Jessica Tucker
works


body of noise

cycles
pooling
possession
discoordinate
changeling
something other than a shroud
all the things ever said
sometimes feels like something’s meant
closer
keep in touch
schil III
schil II
schil I
just that it takes time to keep coming back to life
touch me everywhere softer
never collect dust
replicas and relics always remain restless
the wreckage
we are all amazons
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Mark
pooling
video installation, 2024



Using a custom machine learning model trained on a collection of the distorted selfie images I use throughout my work, I generated several new faces. To collage these new faces together, I used computer generated fractal noise, a type of random visual pattern used in digital graphics to simulate natural shapes and motion. Creating layers of these noise patterns, I “cut out” the images and stack them together with a few other simple digital effects, creating fluid-like animations evocative of lava lamps.

Computational processes of all kinds depend on sources of random numbers for their accuracy and efficacy, but computers cannot generate genuine randomness on their own because they work algorithmically. So natural sources are needed. For instance, the digital encryption company, Cloudflare, directs a camera at a wall of lava lamps and measures the image to extract random numbers that make their encryption processes reliable. As a natural being, I too must be essentially indeterminate, though the technologies I interface with daily track my movements and attention in an ongoing attempt to represent and predict me.