Initially worn by miners and cowboys, roughly half of the world’s population wears denim on a given day, and the range of styles is–literally–endless. A new pair of jeans might be acid bleached, sandblasted, stonewashed, or tie-dyed; it can have hand-sanded rips and tears, followed by visible mendings, patches, intentional paint stains, and more. In an epic attempt to crack the genetic code of denim, Jenim playfully but carefully observes and translates the warp and weft of denim into generative code, weaving unique iterations of irregular, distorted, or hyper-realistic textile crops.

Ironically, imitating aging, a pair of jeans produced today generates more pollution and labor than most average garments. In response, Jenim’s minted iterations go beyond wearables and into infinity. Each year that passes, the color might fade slightly; the rips might expand. Who knows what these artworks will look like ten or even fifty years from now?

Jenim

Inspired by the shapes and colors of childhood and the exploration of planets, where translucent vinyl shapes overlay to create new colors to spark the imagination. Using the token code the location of shapes and colors are generated. Watch out for the Entity in their latent spacecraft. Based on an original artwork by Liza Grace "Colorform Multiverse"

Color Magic Planets

Hashtractors are a collection of generative renderings of various parametric equations commonly know as "strange attractors". These equations are at the heart of chaos theory; a branch of mathematics focused on the study of dynamical systems that are highly sensitive to initial conditions. A selection of 29 different equations has been made for this collection. Hash data is used as their parameters.

Hashtractors

Aragnation questions preconceived notions of what AI art can be. Does AI art have to be powered by giant neural networks? Do the aesthetics have to be that of photos or paintings or collages of pieces thereof?

Aragnation uses tiny AI models and constructs abstract imagery in the vocabulary of abstract blobs and organic textures rather than pixels. It is playful with colors. It has a hint of a watercolor and art paper aesthetic. 

The training data includes photographs taken by one of the artists, Abhishek.  The generated pieces thus capture, in broad strokes, Abhishek’s photography – nature, landscapes and urban settings.

In a refreshing contrast to the gravity of the role AI technology is playing in content creation and creative expression, Aragnation brings a light and joyful touch to generative AI art. 

No GPUs were harmed in the making of Aragnation. All AI models are entirely different architectures than those commonly used, and have been designed and trained from scratch by the artists.

Aragnation

An evolving generative art project, inspired by the longing to connect with nature. It explores the relationship between art, code and nature. - "Becoming the Mountains and Rivers". 
The series explores the mythic idea of a time that came before, when we were one with nature and ourselves. This landscape refuses to hold still. Instead, the viewer is asked to contemplate about being the constant in this ever changing space. They are the only thing that can create a true moment in an otherwise fluid and dynamic world. The piece invites viewers to become fully immersed in the landscape, to contemplate their own inner zen and to feel a sense of calm and peace as they watch the land, water, and sky move and flow. It is an invitation to appreciate the beauty of nature and to reflect on the endless yearning for completeness that we all experience at some point in our lives. Like a postcard that transports us to another time, or a memory that provokes feelings of longing and missing, "Longing" invites us to reconnect with ourselves and to find peace in the ever-flowing river of life in the current moment.

The piece uses generative code to create a space where one can appreciate the beauty of nature while gaining a new perspective on how we perceive art. Instead of presenting viewers with the conventional form of a painting’s static view-through-the-window, Longing takes viewers into a living and breathing artwork. Just as nature moves in patterns that we know how to anticipate but can’t predict, Longing also moves in ever-evolving patterns that are both comforting and surprising. In this way, Longing challenges the static nature of painting while testing out where digital art can take us—is this a form of art that is in sync with nature? Or does it take us further away by inserting additional layers of mediation? Longing does not answer these questions, but it helps us contemplate possible responses, and pushes us to reconsider the nature and purpose of art in the 21st century.

Technical details
Immersive~ The artwork would fit any format ratio and resolution, hit full screen to widen the view and experience the work in landscape formats.

Evolving~ Movement: Time lapse after draw starting at the featured time and transitioning to the local time of the work, when local time is settled the work will display the current time and evolve the sky with it. Accompanied with the slow movement of colors ramps in the landscape, and water rippling.

Output~ 
~Press "s" to save a .PNG file at any stage at current resolution. 
~Press "p" to render and save a high resolution .PNG file for print x3 current resolution.

Created and developed by Ronen Tanchum and Ori Ben Shabat

Art Blocks Presents

Jenim #46

Orr Kislev & Alona Rodeh

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