Yuno Miles & Yuno Marr: Unraveling Two Visions of Identity and Digital Selfhood

In an era where digital personae shape modern identity, few figures spark deeper reflection than Yuno Miles and Yuno Marr—creators whose artistic, philosophical, and technological explorations challenge the boundaries between self, simulation, and synthetic consciousness. Though distinct in background and focus, their work converges on a shared inquiry: how do we define identity when the self can be fragmented, curated, or even replicated across virtual landscapes? From Yuno Miles’ neuroscience-driven narratives to Yuno Marr’s AI-embedded storytelling, a deep dive reveals parallel yet divergent explorations into the evolving nature of human awareness in digital age.

Yuno Miles, a pioneer in cognitive storytelling, merges psychology and computer science to model digital selves as adaptive, learning entities. Drawing from neural network theory and phenomenology, Miles constructs fictional characters whose identities evolve through interaction—each decision reshaping their internal logic in ways mirroring real human cognition. Her project “Proyecta” exemplifies this approach: a character-generation engine that doesn’t just script behaviors but simulates psychological growth, making each iteration responsive to user and context.

“Rather than static avatars,” Miles explains, “Proyecta treats identity as fluid architecture—layers of belief, memory, and perception dynamically adjusting under pressure.” This methodology not only deepens narrative immersion but pushes technological boundaries, offering a prototype for AI systems that evolve meaning alongside user engagement.

Yuno Marr, by contrast, operates at the intersection of art and artificial intelligence, challenging how machines interpret and express subjectivity. Her works integrate generative art, machine learning models, and deep learning architectures to produce forms of digital expression that blur authorship and mimic the subtleties of human perception.

Marr’s 2023 installation, Echo Flora, employed a neural AI trained on collaborative poetry, allowing the system to generate verses that reflect evolving emotional tones based on audience input. In remarking on the piece, Marr noted: “I’m not coding emotion—I’m creating a feedback loop where AI learns not just what people say, but how they feel while saying it.” This expressive methodology reframes AI not as a tool but as a co-createur, expanding creative agency into hybrid, symbiotic partnerships.

While Miles’ approach is rooted in modeling psychological realism within artificial agents, Marr’s work centers on AI as a vessel for emotional resonance and abstract expression.

Both, however, confront a foundational question: in systems that simulate selfhood—whether psychologically complex characters or emotionally responsive machines—what does it reveal about human identity? The answers lie not in replicating consciousness, but in exposing the layers of choice, memory, and interaction that define our sense of “self.” Within their distinct yet complementary practices, Yuno Miles and Yuno Marr illuminate pathways critical to understanding how technology reshapes self-awareness. Their explorations urge us to rethink identity not as fixed, but as a dynamic interplay between inner continuity and external modulation—especially as digital environments continue to expand the territory of the self.

Across disciplines—from cognitive science to machine aesthetics—Miles and Marr represent a new frontier: one where digital beings become mirrors to our own. Their works challenge creators and audiences alike to engage more intentionally with the fluid nature of identity, highlighting that in the evolving digital narrative, selfhood is no longer a singular truth but a spectrum of possibility. As AI and immersive media mature, their visions offer vital frameworks for navigating a world where the line between human and machine-generated self grows ever more intimate and meaningful.

Ultimately, Yuno Miles and Yuno Marr don’t just build worlds—they build new languages for exploring who we are, and who we might become in a future where identity is shared across both flesh and code.