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[]SIMULACRUM






This project is an experiment in translating language, memory, and sensation into images through generative artificial intelligence. The core of the work lies not in the image itself, but in how sensation is constructed into imagery—and how the machine structures human thought in the process.

AI produces images that resemble something I have experienced, yet that resemblance is always slightly off. I see this dissonance not as an error, but as a fracture through which sensation emerges. The images generated in this project are not attempts to reproduce an ‘original,’ but rather efforts to construct a structure of sensation that resembles what I once felt.

This approach resonates with Jean Baudrillard’s concept of the simulacrum—a copy that no longer refers to any original, possessing its own autonomous reality. I consider the images created by AI as such traces of sensation without origin. They are copies that are not copies, memories that are not memories—ghostly constructions of feeling.

The text prompt becomes a compressed symbol of sensation, and the machine interprets and outputs it. Yet the results are always somewhat unfamiliar, ambiguous, and marked by imperfections. It is precisely within these gaps that I discover the generation of sensation, the vibrations between human and machine, and a non-representational form passing through representation.

This work is less about creation than composition, less about memory than simulacra, and less about representation than the visual syntax of generated sensation.