Toward a Trust-Native Infrastructure: Rethinking Coordination, Affect, and Architecture in the Attention Economy

In today's attention economy, design priorities often cluster around amplification, speed, and measurable engagement. According to research, more than 50% of people globally report difficulty distinguishing credible information from falsehoods, underscoring how questions of trust increasingly shape public life. Anaïs Daly, an artist and researcher working at the intersection of systems theory and computation, suggests that this tension may not be merely cultural but architectural.

"Many of our dominant systems are tuned for engagement velocity," Daly explains. "Scale often favors reach over coherence." From her perspective, scalability through privacy, long-term trust, and structural integrity has not always been treated as primary design variables. Rather than critiquing specific industries, she frames the issue as a systems question: What happens when optimization energy concentrates on predictability while coordination dynamics remain under-modeled?

To clarify this imbalance, Daly draws on parallels from chemistry, the health industry, and theoretical physics. In living systems, resilience depends on regulation and recovery, not constant output. In physics, coherence emerges through balanced forces rather than uniform pressure. She suggests digital systems often prioritize continuous engagement while overlooking the role of balance, constraints, and adaptive thresholds.

Daly's trajectory began in sculpture and institutional critique, but over time, her focus shifted toward systems themselves. "I started in sculpture, working with physical form and institutional space," she explains. "But gradually, I realized that the real material wasn't the object in front of me. It was the system shaping how meaning, coordination, and value were organized. The object dissolved, and the system became the medium."

The shift moved her inquiry from form to coordination; less about what is built and more about how relationships stabilize or fragment under pressure. Her current framework, Constellation Terminal Protocol (CTP), is presented not as a finished product but as an open architectural proposal for thinking about trust as a structural variable in networked environments.

CTP operates as a binary creative exploration. The first layer is creative and epistemic, focused on modeling thresholds in human coordination. The second is technological and infrastructural, examining how those thresholds might be represented within privacy-preserving systems. Daly explains this as a two-fluid model, where affective structure and computational architecture inform one another without collapsing.

Her Periodic Table of Affect (PTA) reflects this methodological orientation. "Rather than categorizing emotions by cultural labels alone, the PTA explores structural parameters such as intensity, duration, relational impact, and propagation," she says. "The approach draws inspiration from moments in scientific history when reorganizing around the right variable produced clarity." For Daly, the goal is not to reduce emotion to data but to make coordination dynamics legible across fields.

According to Daly, this interdisciplinary perspective aligns with broader developments in complexity science and nonlinear systems research, where phase transitions often explain large-scale behavior more effectively than linear cause-and-effect models. Daly situates her work within this wider conversation, suggesting that affective thresholds may function similarly to structural thresholds in technical systems.

Daly notes that creativity and sound became an experimental medium for this translation. Through a project called Recursive Waves, Daly explores how resonance, interference, rhythm, and decay, core concepts in acoustics, can also illuminate social and computational coordination. "Improvisation, in this context, becomes a way of navigating uncertainty without assuming complete information," Daly says. "Improvisation is exploratory computation under uncertainty; it's a way of feeling for structure before you formalize it."

She explains that the technical layer of CTP reframes trust itself. "In many digital contexts, trust appears as a binary credential, verified or not, authorized or denied," Daly says. She proposes thinking of trust instead as a dynamic forecast: probabilistic, continuously updated, and responsive to signals. "A forecast does not promise certainty," she says. "It models likelihood and adjusts as new information emerges."

Within this framework, she notes that dynamic graph modeling becomes a useful lens. "Relationships are weighted and updated based on participation patterns rather than static identity markers," Daly says. She explains a concept called Verified Actions of Network Utility (VANU), which focuses on patterns such as reliability, reciprocity, and consistency without requiring invasive content analysis. She observes that the emphasis remains on metadata structures rather than private communication.

Daly connects her work to broader advances in privacy-enhancing technologies, noting that developments such as verifiable credentials and post-quantum security standards reflect a growing focus on resilient, interoperable systems. She also observes that AI research increasingly relies on dynamic graphs to manage evolving relationships between agents.

In her view, CTP complements these shifts by integrating affective modeling with scalable adaptive infrastructure design. "Trust, understood as a forecast rather than a credential, becomes a continuously updated structural field," Daly says. The central question, she adds, is not only how systems scale, but what they strengthen as they expand.