Our mission is to bring AI into the artist's practice by developing open-source tools and methodologies that make the domain more accessible and transparent. Our research asks how AI can become a trusted partner in the creative process, both during creation and execution. We explore how AI understands the materiality of body, space and time. Our approach avoids megalomanic datasets; instead we focus on carefully self-assembled datasets and an intuitive visual understanding of algorithms to avoid the bias inherent in large-scale models and take ownership of our own "small AI."

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