How do the creative abilities of machine learning, influence our recognition of consciousness?

Fabric From Emotion

Gain a macro view, details of memories and a sense for the tangible, emerging from ephemeral data, Alluci presents a fashionable collection of emotional perspectives, minimized of saturation yet full of embellishment through a hallucination of machine learning.

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 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.