GANBROOD (B. 1968)
Gynaeceum
smart contract: 0x7B8E0DB59A7362badb57d7B84e002E407E560DaC
token ID: 34
wallet: 0x685e34c6A94F330fa494D708b652261140b55aBA
PNG
3,000 x 3,840 pixels
Executed in 2022 and minted on 10 February 2025. This work is unique and accompanied by a none-fungible token.

The buyer will have the option to redeem a physical print directly from the artist.

Minted by the artist, 2025

One of the aspects that first drew Ganbrood to generative AI was its fluidity—its ability to traverse time, seamlessly connecting worlds and revealing the deep interconnectedness of everything. The algorithms Ganbrood works with—GANs and diffusion models—are more than just mathematical constructs; they function as multidimensional maps or "latent spaces" of the sources they ingest, melting together history, culture, and form into something at once familiar and dreamlike.

What fascinates Ganbrood about working with these deep-learning models is the mystery within the "black box" where imagery emerges. This uncertainty places generative AI at an intersection of science, psychedelia, and dreams—a space where logic dissolves into alchemy and where technology echoes the mystical. Like the scholars of a past era who saw no contradiction between science and magic, Ganbrood views these images as both computational and transcendent, offering a glimpse into a parallel artistic reality that defies simple categorization.

Beyond the process itself, what truly matters is how artists and observers integrate these synthetic visions into cultural memory. Every artistic revolution—whether the camera obscura of the Renaissance, the invention of photography, or the digital turn of the late 20th century—has forced a reconsideration of authorship, originality, and meaning. AI is simply the next chapter in this ongoing transformation.

It is tempting to think of AI as an alien force, something separate from human expression. But in reality, these models reflect humanity—its history, aesthetics, biases, and contradictions. They are not independent creators but complex instruments, extending human perception in ways that are only beginning to be understood. Delegating part of the creative process to an algorithm does not erase human intent; rather, it introduces a new way of seeing—an altered, augmented mode of visual thinking that challenges assumptions about authorship and the act of making itself.

The challenge ahead is not whether AI should be used in art, but how its role will be shaped. Will it be resisted out of fear, or embraced for its potential while maintaining the critical, poetic, and disruptive spirit that defines artistic practice? The medium is new, but the questions are ancient. And just as art has always found ways to absorb and subvert technology, this moment is no different. AI does not diminish the role of the artist—it amplifies the possibilities of what an artist can be.