Dylan’s work aims to bring attention to the value of the conscious-artist’s contribution to what is becoming, to a degree in some areas, more of a curatorial process of creation in certain mediums. Tools driven by machine-learning/AI can still be highly informed by the artist utilizing them, should they so choose. It’s the manner in which this latent-space can be shaped & explored that Dylan’s generative art aspires to highlight. These multi-dimensional creative domains act as both the palette and canvas, impelled by the data-sets as much as they are the creation of new tools with which to locally navigate & sculpt such spaces. These landscapes allow for the crafting of new aesthetics that can be developed on massive scales only previously imagined. Dylan’s medium is that of creating “AI-artists”, those whom will initially express a given aesthetic. This is done with the intention that these AI-artists will eventually interact with & inspire both themselves and others. Their years of creating vastly disparate artist-specific data-sets to be utilized in training machine-learning models has yielded unique generative aesthetics for each AI-artist being designed, be they visual, musical, experiential, or otherwise. As AI rapidly matures, therein lies the potential of entirely new creative interactions to be had by both human and AI artists. This is the space in which both the tools and the art they create intend to develop such a dynamic language. Dylan’s passion for the realms of philosophy, consciousness, mathematics, and science are core motivating factors driving them to create the tools an AGI (Artificial general intelligence) might someday utilize. This potential transition from exclusively human-driven creation, toward a union with AI, is a future Dylan aims to help shape with their contributions on the artistic and technological fronts.