LoVid’s signature video work mixes handmade analog synthesizers with digital tools in immersive Red, Green, and Blue (RGB) compositions that celebrate luminosity, chaos, relationships between craft and engineering, and connections between body and tech.
 
Tide Predictor, LoVid’s first onchain generative work, builds a bridge from video synthesizer patches to algorithmic code-derived imagery. This collection is formally and technically inspired by hardware-based image generation, and places experimental moving-image, circuit boards, and electrical signal-based video art at the conceptual roots of generative art.

Tide Predictor is a modular video synthesizer patch model, designed to reflect the analog spirit by working with three channels: RGB. Tide Predictor reimagines NTSC-encoded, oscillator driven electrical current based video synthesis while adding digital randomness/unpredictability, and transformations based on code, along with each mint’s unique content.
 
In the late 19th century, mechanical analog computers used rhythm and repetition to anticipate the rise and fall of water levels. In addition to “tides”, which are low frequency oscillations of the ocean, higher frequency changes or “waves” are frequently discussed in reference to both water and electrical signals. By working with looping - and explicitly addressing the period (=1/frequency) for each RGB color - Tide Predictor extends analogies between the flow of water and the flow of electricity.

LoVid’s Tide Predictor brings these relationships from the blockchain, through your screen, straight to your retina!

Tide Predictor

Every Singularity is unique. Each form’s properties; Symmetry, Chaos, Mass, Force and Turbulence are driven by data extracted from the transaction hash.

Singularity

Fidenza is by far my most versatile algorithm to date. Although the program stays focused on structured curves and blocks, the varieties of scale, organization, texture, and color usage it can employ create a wide array of generative possibilities.

Fidenza

Abstract typographic elements slide together to create new characters. In some compositions, a single character is featured. In others, characters string together to form words and sentences, which the algorithm shapes into often-familiar layouts.

The type designer Gerard Unger said “it is almost impossible to look and read at the same time”. Asemica invites you to look without the burden of legibility.

Created by Emily Edelman, Dima Ofman, and Andrew Badr. Command-S to download a vector file. Live token best viewed in Chrome.

Asemica

_Alan Ki Aankhen_ is an exploration of other-worldly cityscapes in the visual aesthetic of Fahad’s distinct style with pen and paper. The title, translated as _Alan’s Eyes_, alludes to Alan Turing’s machine intelligence test - a thought experiment foreshadowing a moment in which we can no longer differentiate between the real and the artificial. Though first proposed in 1950, the topic feels especially relevant today, as even our creative practices are being carried by shifting technological tides.

The algorithms and decision-making encoded into this generative art project intentionally imitate Fahad’s approach on traditional mediums - composition rules, textures, and overall themes. The visual elements are inspired by Fahad’s memories from his nomadic life. You’ll find intricate windows from Rajasthan, massive Egyptian pyramids rising from the horizon, a density of civilization only seen in New York, and the moon - a comforting and shared sight no matter where you stand.

Art Blocks Curated

Tide Predictor #269

LoVid

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Singularity

Hideki Tsukamoto

Fidenza

Tyler Hobbs

Asemica

Emily Edelman - Dima Ofman - Andrew Badr

Alan Ki Aankhen

Fahad Karim

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