Simple and easily identifiable, each squiggle embodies the soul of the Art Blocks platform. Consider each my personal signature as an artist, developer, and tinkerer. Public minting of the Chromie Squiggle is permanently paused. They are now reserved for manual distribution to collectors and community members over a longer period of time. Please visit OpenSea to explore Squiggles available on the secondary market. 

Chromie Squiggle

white noise contains all possible harmonics/notes/chords. by filtering out narrow frequency bands from the noise, pure sine wave “notes” become audible. we’ve limited these bands to only ever reveal specific notes from a particular musical scale. 

each piece then, is a unique iteration of this scale with different notes from it gaining prominence. sometimes they will be chordal and sometimes dissonant but always beautiful because the scale is beautiful.

visually, the white noise is represented by particles which congeal into dense lines. each line that appears is a specific note you can hear and it's amplitude is defined by the corresponding particle density. chords are represented by the lines crossing over each other.

so in summary, it's a quite literal visual representation of sound moving from an arbitrary form to musical form. natural order from chaos with infinitely variable patterns depending on which notes are audible. 

*note we’ve implemented the following variables for more radical variation in particle behavior in addition to the random generation of notes and their corresponding patterns.

- particles will either form straight line shapes or curved shapes 
- particles with vary in size from one iteration to another 
- particles will either favor white or black as their prominent b&w bias creating stark contrast between iterations as well as variables in between the two extremes
- some iterations will reveal faster and some slower

montreal friend scale

**Cargo** is a series of abstract paintings created with animated pixels that are constantly moving without ever repeating. It is painting new patterns on the fly in between macro and micro compositions with a duality of different rhythms and continuous synchronicity. The focus is alternately drawn to detail, then distracted by movement elsewhere and caught up in the overall picture. This rhythm turns the visual complexity into an active experience.

ASDF: “My work should offer individual ways of interpretation, or even allow one to find some self in it. It wants to inspire some thoughts about dynamics and systemics and also just mesmerize the audience, capture them in a little fantasy, or just for a brief moment in a state of satisfaction.”

Cargo is the latest work in Kim Asendorf’s ongoing work series of pixel pattern animations. Starting with [monogrid](https://monogrid.xyz) in 2021, and [Sabotage](https://sabotage.kim) in 2022, both highly conceptual series, therefore visually very raw and unimaginable. Asendorf discovered various interesting details in these works, which eventually became fundamental in his artistic expression.

Cargo is a real time WebGL software written in JavaScript and GLSL. At its core is a flip-flop render buffer, also known as feedback buffer. That means the animation is alternately rendered in two different frame buffers. This technique allows the usage of the previous frame of the animation as an asset in the current rendering, which allows for a series of reactive animation strategies.

An initial image with variable structures and patterns is rendered and subsequently loaded into the frame buffer. A fragment shader is used to apply a set of animation algorithms that make the pixel move and a set of reset algorithms that constantly try to recreate the initial image. The final animation happens in selected containers and is always a combination of two algorithms, one from each set. By regularly animating and partially resetting the pixels, a wide range of movement patterns appear.

Cargo is a responsive and pixel exact artwork and it will fill the screen on any display size, thus changing the total amount of used pixels accordingly. This results in the fact that the detail level in the artwork is changing depending on the dimensions. The overall structure is consistently stretching the x and y axis independently. Single containers scale along the dimensions and offer more pixels to render the patterns at a larger representation compared to a smaller representation. This behavior leads to a brilliance, perfect pixels, a crisp rendering with nothing like compression artifacts.

This software includes the [simplex noise](https://github.com/jwagner/simplex-noise.js) JavaScript implementation by Jonas Wagner and the [cellular noise](https://github.com/stegu/webgl-noise) GLSL code by Stefan Gustavson.

Cargo

Ancient Courses is a generative experience that explores the aesthetics of meandering rivers and the settlements that form on their banks. The design is graphic and cartographic with bold color palettes rendered against map iconography and line sensibility. From the river banks, roads stretch across the landscape: sometimes a single access road, other times sprawling towns. The river meandering is simulated via a custom algorithm which closely models the real world process.

Press 'r' to reset the simulation.
Press 's' to save an image to disk.
Press 'h' to re-run the simulation at print res. This is significantly slower than the default screen res version. The progress bar at the bottom of the screen shows how long before the print-res image is automatically saved to disk.

A limited number of Ancient Courses mints will come with a Treasure Map feature. The owner can request a physical print (max one print per treasure map).

Best viewed on Chrome, Firefox, or Safari.

Ancient Courses of Fictional Rivers

Ways of knowing...
Ways of seeing…

I can trace the origin of *Pre-Process* back to a Saturday afternoon in 2003 when I was sketching—first on paper, and then with code. I began by drawing circles, then connecting their center points, and then placing the circles in motion as coded animation. At that time, I was focused on *ideas* and not *images*—specifically, on dynamic systems and the ways a set of elements relate to each other within an imagined environment. I was working through questions about how to experience these systems and what might be an ideal (or interesting) way to engage with them. 

The ideas and code from this session later became the core of much of my subsequent work: including the foundation for the *Process* series of software, prints, and installations and the more recent *Process Compendium* works. *Pre-Process* pulls these origin points back into focus, develops them with what I’ve learned in the intervening years, and puts them on the blockchain to be archived. I consider the project a Rosetta Stone for my practice. It asks fundamental questions about the relationships between process and end result, including: Where is the aesthetic focus of a generative system? Is it deep within the code or within the picture the system creates?

Ultimately, *Pre-Process* emphasizes experiencing the origin of the system and then transitioning with it as it seeks, but never finds, equilibrium. The system is built around Element 1, the first that I created for the *Process* series:

*Element 1: Form 1 + Behavior 1 + Behavior 2 + Behavior 3 + Behavior 4
Form 1: Circle
Behavior 1: Move in a straight line
Behavior 2: Constrain to surface
Behavior 3: Change direction while touching another Element
Behavior 4: Move away from an overlapping Element*

*Pre-Process* is the origin of a long journey that I’m still on. It continues to ask essential questions and to encourage me to explore possibilities. Through it, I came to realize that I was ultimately more a picture-maker than a conceptual artist, or, the way I like to think about it,  I’m a “conceptual artist” with a small ‘c.’ I want the energy to be with the system (the ideas) *and* the surface (the picture) in equal measure. More directly, the work exists *between* the instructions, the performance and interpretation of the instructions, and the resulting images.

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