**Overview** *Latent Ink* is a novel exploration of Eko33’s evolving collaboration with machines to create art. Spanning 500 unique artworks, this project merges AI-trained datasets, p5.js generative systems, machine vision, and GLSL shaders to produce intricate works that challenge the boundaries of human and machine creativity. By integrating digital and physical mediums, Latent Ink showcases Eko33’s most technically advanced and conceptually innovative project to date. This collection reflects a layered evolution, combining Eko33’s past and present artistic gestures through algorithmic processes, resulting in visually complex images that converge, compete, and evolve in their form. **Overall Process** *AI Generation* The journey begins with custom AI models trained on Eko33’s portfolio of hand-drawn sketches and previous generative art series. These datasets are carefully curated to ensure the AI’s outputs remain deeply rooted in his unique artistic language. The result is a digital canvas imbued with the nuances of Eko33’s style, ready for further exploration. *Algorithmic Refinement* Eko33 employs a custom p5.js environment and GLSL shaders to simulate the subtleties of hand-drawn marks. His algorithms allow control over line characteristics such as thickness and pressure variations, curvature and angle imperfections, layering of textures and colors. This phase is not simply computational but deeply iterative. Parameters are adjusted, elements are redrawn, and compositions evolve dynamically until they achieve the desired complexity and balance. The final artworks push the boundaries of both machine precision and human expressiveness. **Plotter-Specific Process** The 100 plotter artworks form the core of Latent Ink’s physical exploration, transitioning digital outputs into unique, tangible artifacts. This process demands an intense level of technical precision and artistic decision-making: *1. Ink and Tool Selection* Eko33 meticulously chooses ink types, ranging from quick-drying to slow-flowing inks, each creating distinct textures. A variety of nib sizes—fine, medium, and bold—are employed to create depth and hierarchy in the plotted lines. *2. Color Palette Expansion* The physical plotter works often go beyond their digital counterparts, incorporating extended color palettes that highlight the physical medium’s richness. *3. Plotting Sequence and Speed* Eko33 programs a precise sequence for plotting, dictating the order of line and color application. Adjustments to plotting speed add further character, with slower strokes yielding bolder lines and faster strokes creating delicate, nuanced impressions. *4. Algorithmic Adaptation* Each plotted work involves adjustments to the original algorithm, tailored for physical execution. These adaptations allow the machine to capture the artist's intent while introducing physical imperfections that enhance the work’s uniqueness. *5. Final Digitization* Once completed, each plotter piece is scanned in high resolution to preserve its intricate details, creating a lasting digital archive of the physical artwork. Through these steps, Eko33’s plotter works transcend mere replication of digital art, becoming standalone expressions that merge the precision of machine plotting with the human intuition of traditional craftsmanship. **Concluding Remarks** *Latent Ink* asks us to reconsider the relationships between time, space, and representation in art. By embracing AI, generative algorithms, and extreme compute conditions, Eko33 has created a groundbreaking series of works that redefine collaboration between human and machine. *“With Latent Ink, I’m not interested in using technology to make things easier or faster; instead, I embrace technology to redefine what art can be. It’s through pushing both myself and the machines to their limits that unexpected beauty emerges.”* - Eko33

Eko33

#275

From

Latent Ink

Description
Artist
Eko33
Blockchain
Ethereum
Token standard
ERC-721
Contract address
0xf7...ae0d
Token
275
Artist
EKO33
Format
Square
Trait
Beans
Activity
ArtworkPriceFromToTime