Dual-Handle Dallah comes from an early 2020 StyleGAN project exploring Saudi material culture through generative image synthesis. Built from a dataset of over one thousand images, the work uses machine learning to form an unstable visual memory of familiar objects, surfaces, and cultural iconography.

The central image is a generated dallah with two handles and no pouring spout. It is recognizable, but impossible: the form remains, while the function disappears. This becomes a moment of cultural misrecognition, where the machine preserves the image of an object without understanding the lived knowledge, use, or ritual behind it.

The project combines still images, latent-space walk videos, training-progress grids, and process videos. Together, these forms reveal the model’s attempt to arrive at coherence, while showing how cultural forms are distorted and reassembled through computational systems. In this way, the work treats early AI image synthesis as a form of latent-space archaeology.

Nasser Alshemimry is a Saudi audio-visual artist whose alias, DesertF!sh, reflects his Najdi roots and life on the Red Sea coast. Based in Jeddah, his practice moves between sound, generative visuals, interactive systems, and computational image-making. Through his studio “Desert.Dream Audio Visual” he develops immersive works and provides technical direction for artists and cultural institutions, bridging the languages of composition, code, installation, and spatial experience. After initially serving the contemporary art scene as a consultant for technologically complex artworks, Nasser began producing standalone audiovisual installations that examine perception, memory, and the human encounter with machines. Since his debut at the Saudi Art Council’s 21,39 exhibition in 2019, his work has been presented by Misk Art Institute, Ithra, Noor Riyadh, the Royal Commission for AlUla, the Saudi Pavilion at Expo 2025 Osaka, and Diriyah Art Futures’ inaugural exhibition Art Must Be Artificial. Works such as Transcendence, Sympathetic Strings, Inner Light, Digital Anemone, and his early StyleGAN projects explore responsive environments, biomimicry, machine vision, and the shifting image of Saudi identity through computational systems. His current research revisits early AI image synthesis as a form of cultural mis-recognition and latent-space archaeology. Through images of Al-Balad, AlUla, and Saudi material culture, he treats generative systems not as neutral tools, but as unstable archives: machines that remember, distort, and reassemble cultural forms. His work seeks a precise balance between technical experimentation and poetic residue, where sound, gesture, image, and heritage become signals within a larger field of transformation.