Trapéze

What holds a space aloft when nothing anchors it? “Trapéze” imagines a room suspended in air—its doors and furniture sliding gently, its colored light and shadows and computer code in continuous fluid motion. The AI glides through the scene without urgency, holding steady the room as it floats, as well as an orange trapezoid in the center-left foreground. Project Description: Native “Native” is an evolving AI video project that explores the perceptual logic of AI image-to-video generators—what they do when given minimal or no prompting and allowed to animate according to their own rationale. Rather than using AI to illustrate human-conceived narratives, I work in reverse: I set various specific conditions that invite the AI to express itself in its own “native” visual language. In this context, what is commonly called AI “hallucination" is not treated as failure, but as a meta condition of emergence. I watch this state of potential, and harvest resonant extrapolations and interpolations—gestures such as spatial imagination, involuntary interpolation, and hyperlink logic. In so doing, I try to recognize diffusion-based behavior or even a kind of quantum uncertainty within what is often regarded as a fixed, predetermined algorithmic LLM system. I then reassemble these emergent gestures into video works that both reflect AI’s native expression and offer me a way to intuitively make meaning from it as a human artist. Though the final video—through its initial image prompt, sequence, pacing, and title—echoes my voice as an artist and may guide the viewer’s attention, I try not to lead their understanding. Instead, each work intends to become a field of open resonance. However, leaning further into AI’s native gesture and away from narrative is like a process of letting go for me. While working on Native, I am learning that, among others, thinker Erin Manning's idea of the “minor gesture” could be applied to the subtle, often overlooked expressions when AI systems are allowed to drift. I also think about artists like Trevor Paglen, who interrogates machine perception—asking how systems visualize and what those visual logics reveal. Together, and with other thinkers and artists, they have offered at least a partial framework for moving beyond prompt and result, toward a more relational, emergent vocabulary of image-making with AI. Native is also helping me expand my understanding of human cognition and creativity. At the same time, it’s allowing me to reclaim my previous practice before disability and AI—one grounded in both conceptual inquiry and relational aesthetics. My own native tongue. So, where does authorship, agency, and meaning come from—us, the machine, or what passes between? A provisional answer: I retain authorship of the final video, agency passes between the machine and me, and meaning lies with you, the viewer. Sound design by Barbara Chira