Sasha Stiles

100-line generative poem written by Pushcart-nominated poet Sasha Stiles and her AI-powered alter ego, Technelegy – a custom text generator rooted in GPT that Stiles has been training and collaborating with since 2018. This poem was written line by line, token by token, using p5.js as the page. Starting from Edition 1 – the title – each subsequent edition represents the growth and accretion of the poem from lines 0 through 100, with the final edition containing the entire text.

EVERY POEM STARTS WITH A SEED

fingacode

Lars Wander

7 Factorial

Juan Rodríguez García

Memorias del espacio olvidado

Xin Liu

Nan Zhao

Lycorises

Cory Haber

Singularity

Dean Blacc

Colour Computer

Entangled Others

Intertidal Samples 2.0

Helena Sarin

AI Horticulture Vignettes from the Greenhouse of the Future

Ivona Tau

A Molecular Atlas of the Machine States

Emily Xie

*Evolving Pixels* is an exhibition centered around the theme of growth. The show invites a set of diverse digital artists who work with computational technologies–namely, generative or AI-assisted–to investigate what growth means to them.

From literal interpretations of botanical growth as observed in nature to more abstract explorations of personal and creative growth, each artist brings their unique vision and style to the theme, resulting in a multifaceted collection of artwork. Together, these talented artists provide a textured look at a universal concept that pervades all facets of life. Specifically, they invite us to think of growth in relation to the machine. What does it mean to grow, evolve, and change in our increasingly digital world?

PROOF has partnered with Art Blocks and Venus Over Manhattan to bring *Evolving Pixels* to life. The long-form generative collections in the exhibition are being delivered with the Art Blocks Engine. From April 12-24, Venus Over Manhattan will display *Evolving Pixels* at their Soho gallery in New York City.

*Evolving Pixels*

Evolving Pixels

Type	AI
Mint date	Apr 12, 2023
Max supply	99

EVERY POEM STARTS WITH A SEED

Details

Programs used