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Tide Predictor

LoVid profile picture
LoVid

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Tide Predictor #106

About Tide Predictor

Animated

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!

LoVid profile picture
LoVid

NY based artist duo working collaboratively since 2001 on and off screen. With home-made synthesizers and hand-cranked code, LoVid has performed, exhibited, and presented work in galleries, museums, festivals, and basements worldwide.

Curated artist interview

Algorithmic edition of 400

Nov 2, 2022, 5:00 PM UTC

25% of proceeds will be donated to a fund providing grants for transmission artist projects through Wave Farm

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