Gazers is a generative art series of 1,000 evolving works. It is a tribute to the rhythms of the moon and the cyclical nature of existence. Each piece is an algorithmic performance, an artwork employing code to live and transform, synchronizing its shifts with the lunar cycle as it advances through the night sky.
On the surface, Gazers functions as a lunar calendar, algorithmically syncing with moon phases, joining the blockchain with one of humanity’s longest running lineages in art.
Each layer of the work consists of pattern designs. With the passage of time, the thickness of the layered lines pulse and the direction a design moves will advance or rotate, changing our perception of color in the most subtle of ways. Each day at midnight, each layer receives a new set of rules. The result is color that rises and sets, echoing the change of light in our sky.
Each layer of the work consists of pattern designs. With the passage of time, the thickness of the layered lines pulse and the direction a design moves will advance or rotate, changing our perception of color in the most subtle of ways. Each day at midnight, each layer receives a new set of rules. The result is color that rises and sets, echoing the change of light in our sky.
ABOUT MATT KANE
Matt Kane is a groundbreaking artist who harnesses the transformative capabilities of code and computing to bring his intricate, multi-layered visions to life. Utilizing custom-designed software as his digital easel, Kane employs generative algorithms to craft dazzling artworks that traverse a wide spectrum of themes. He is a digital maestro who reinterprets historical aesthetics through the lens of code, achieving with geometric precision what the Old Masters accomplished with oils.
His 2021 collection, “Gazers," has not only captivated the art world but also nurtured an active community that engages in lively discourse around the ever-evolving pieces, which are dynamically programmed to mirror the lunar cycles of our Moon. His latest series, "ANONs," offers an array of vivid, algorithmically-crafted portraits inspired by unidentified photobooth snapshots from his own private archive.
