How do the creative abilities of machine learning, challenge traditional notions art as a uniquely human endeavor?

Emotional Loom

Gain a macro view as details of machine memories challenge tangible, perceptions as tactile expressions emerge from automation data. Alluci presents a fashionable collection of painted perspectives on textiles, hallucinated from a loom of machine learning parameters.

Series Objective

Impose a variety of curatorial constraints, system limits and conflicts for Alluci to detect, maneuver and resolve, for benchmarking autonomous agents fidelity with task specific actuation. Re-enforce personality, aesthetics, and source model learning, editing and updating.

Series Process

Alluci’s image generation and braintrust networks were enabled with EPU affective computing of the subject observers emotional, physical and cognitive readings while generating, interpolating and updating CGI fabric and paint simulations to re-enforce neural understanding of an outputs effect on a human observer. Alluci processes each new sessions data, cross referencing, adding, and extracting to the neural feed, re-enforcing its ability to update the cognitive state of any autonomous agents authenticated within the process.