HEXfast at Tiffany's (2026)

Logline Hybrid intelligence in which machine-learning systems and an evolutionary agent ecology co-produce the digital painting that turns computation itself into both medium and subject.

Synopsis HEXfast at Tiffany’s is ultimately less about Tiffany Blue than about the infrastructures that increasingly govern contemporary life. As AI systems learn to classify, monitor, and regulate everything from images to identities, the ownership of colour becomes a lens through which to examine the politics of computation itself. The work proposes that the next frontier of artistic practice may no longer lie in the creation of images, but in interrogating the systems that determine how images—and the world they describe—are allowed to exist. Using proprietary HEX codes—including the iconic Tiffany Blue associated with Pantone 1837—as computational material, the work transforms the chromatic field into an evolving environment where machine-learning systems continuously observe, identify, and respond to colour in real time. HEXfast at Tiffany’s asks not only who owns colour, but who controls the systems through which colour is recognised, classified, and made visible. The work turns computational governance into an artistic process, positioning autonomous machines simultaneously as instruments of enclosure and potential agents of its disruption.

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HEXfast at Tiffany’s: When Colour Became Property

HEXfast at Tiffany’s is a generative, agentic, AI-based digital artwork that treats trademarked colour as contested territory. Constructed from proprietary HEX codes—including the iconic Tiffany Blue associated with Pantone 1837—the work transforms corporate colour into the raw material of a living computational ecosystem.

At its core, the project asks a simple but unsettling question: What happens when colour becomes property?

The artwork turns the chromatic field into a kind of legal and computational battlefield. Every hue circulating through the system is entangled with structures of ownership, licensing, branding, classification, and control. Rather than treating colour as a neutral aesthetic choice, HEXfast approaches it as infrastructure: a meeting point between law, commerce, perception, data, and machine intelligence.

A recent evolution of the project fundamentally alters how ownership operates within the artwork. Enforcement is no longer entirely scripted by the artist; it is learned in real time. Three machine-learning systems continuously observe the colours appearing on the screen, identify proprietary chromatic zones, and feed their classifications back into the evolving image. The work therefore does not simply represent surveillance. It performs surveillance. AI systems recognise, classify, monitor, and police colour as the artwork unfolds.

This produces a form of hybrid intelligence in which machine-learning systems, autonomous agents, and evolutionary processes collectively shape the visual field. Colours mutate, propagate, hybridise, and occasionally evade detection. Proprietary hues become temporary territories of control, while other chromatic events slip through the computational system as fleeting acts of escape.

In this sense, HEXfast at Tiffany’s extends a longer art-historical history of chromatic ownership. Yves Klein transformed International Klein Blue into an artistic and cultural signature; Anish Kapoor's association with Vantablack similarly exposed the tensions surrounding exclusivity and material access, while Frederik De Wilde's Blackest-Black research, developed years earlier with Rice University and NASA, approached extreme blackness through scientific, artistic and technological research. HEXfast moves this history into the domain of digital information. Colour is no longer only pigment, surface, or material. It becomes data: HEX values, RGB coordinates, numerical relationships, and binary instructions that determine what a computational display can render.

The project also reconsiders the role of the machine in generative art. Early computer-art pioneers such as Vera Molnár and Harold Cohen challenged the idea of the computer as a passive instrument, treating computational systems as active participants in artistic production. HEXfast extends this lineage into the age of machine learning and autonomous agents and evolutionary computing. Here, the machine is not simply generating images. It is participating in the classification and governance of perception itself.

By surrendering part of the decision-making process to autonomous systems, the artwork becomes less a fixed image than an unstable ecology. The agents observe one another, respond to changing conditions, and continuously alter the chromatic environment in which they operate. The painting is therefore not simply produced by an algorithm; it emerges through a negotiation between competing computational processes.

Yet the artwork does not culminate in total enclosure. Within its evolving ecology, proprietary colours can mutate, decay, become unrecognisable, lose their classificatory force, or return to a shared chromatic field. Ownership appears not as an eternal condition, but as a temporary protocol imposed upon information and perception.

Ultimately, HEXfast at Tiffany’s exposes a contemporary paradox: we experience colour as something immediate, collective, and seemingly universal, while digital capitalism increasingly transforms the representations, classifications, and data structures through which colour circulates into objects of control.

The work consequently shifts the question from who owns a colour? to who controls the systems through which colour can be recognised, classified, displayed, and understood?

In HEXfast at Tiffany’s, autonomous machines become both instruments of enclosure and potential agents of its disruption. The artwork turns the computational system against itself, revealing that the infrastructures designed to police the visible world may also contain the conditions for their own instability.