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

Watercolor Dreams is an exploration in simulation, a meditation on traditional techniques in watercolor, and an ode to serendipity. Where will this curve end? When will this shade fade? How will the movement come alive? Sit back, relax, and watch the colors wash over the canvas.

Watercolor Dreams

Screens have been at the heart of art mass production and mass consumption for ages. From screen printing techniques, first developed in China around 1000AD and later popularized in western art culture by e.g. Andy Warhol, to the screens on our devices used to consume both digital art as well as most traditional art we experience in our life.

The "Screens" series is a celebration of modern art. It is inspired by the aesthetics inherent in screen printing along with the compositions and colors of both Bauhaus, Constructivism, and pulp fiction sci-fi covers.

The compositions in "Screens" is based purely on strict geometries and plays with the tension, and symphonies that can be created from combining simple rules. The end result can range from chaotic non-figurative to strongly ordered isometric scenes.

The generative system underlying the rendering mimics the screen printing process by rendering and applying a single color at a time to a master image. Each virtual screen may be more or less aligned with the master, creating a lovely flawed balance to the precision of the rendered geometry.

25% of the proceeds from this project will be donated to Den Blå Planet, The Danish National Aquarium, in support of their work on preserving and restoring marine life and ecology.

Screens

*Please Note: This is an Exponential Dutch Auction (no settlement). The price you purchase is the price you will pay.*

An ideal human being is one big optimization problem. We have a goal - we optimize our actions to maximize the outcome of this goal. 
In our initial days, we optimize to stay alive, during school, we optimize to study well, gain skills and obtain the best scores.

As we progress in our careers we optimize to get the most amount of money, material growth, and maybe even influential growth such as fame.

As we age we optimize to minimize diseases and maximize our lifespan - we workout, we eat healthily, we retire, and rest 

As ideal as it sounds, how do we know what exact actions would lead to maximizing my outcome? At this very moment - instead of reading this should you be doing something else that would make your life’s outcome better? Maybe, maybe not - We don't know... Although, we do find out through trial and error. 

In the grand scheme of things we’re just an agent exploring actions around us, learning which ones increase our reward and choosing the path that seems to lead to the maximum reward. Cerebellum is a window (pun intended) of the human mind - a continuously evolving art piece that is built on top of a reinforcement learning agent that is learning and optimizing and evolving as you see it. 

The project starts with an untrained model of a reinforcement learning agent that is deployed in an environment where it is faced with positive reward and negative reward. The agent is also equipped with a bunch of eyes that lets it sense the objects around it and judge if it wants to go ahead and consume the object or abstain and move in a different direction. The agent here is optimization to maximize its positive rewards while avoiding the negative ones. How does the agent know if a reward is positive or negative? - It learns that after experiencing a bunch of samples. And the magic is - all of this happens in your browser. The seemingly random motion of the agent at the beginning running into everything it sees subsides with time as it learns better about the environment and only hits on the positive rewards. How fast does this happen? Depends on your luck - every art has agents with varied number of eyes and range of these eyes. In addition with every refresh your agent would start from a new place, taking a new path - a path that might lead to it learning things at a different pace depending on what it comes across as it explores. To add some practicality - the environment also has some walls, elements that just block the agent from moving doesn’t add or decrease rewards. Hinders the agent’s movement, lets it find a different path - sometimes this is needed for the agent to strategize, sometimes it's just a hindrance… I’ll leave this to your imagination as you see the agent in action…
The seemingly random motion - the path towards true understanding - the process of optimisation is captured by the windows. Windows that show the beauty of this process expressed in a variety of ways. 

Cerebellum is a window into the black box of AI, an unapologetic exaltation of the unpolished, an ode to the process and its aesthetic vernacular.

+ Press 'p' to switch from 2d/3d views
+ Press 'e' to expose the reinforced learning layer
+ Press 't' to pause/unpause the training of the agent
+ Press 'w' to randomize the walls of the training environment

On mobile, tap to switch from 2d to 3d

Cerebellum

**Running Moon** depicts the nuanced interaction between clouds and moonlight. It is a search for boundaries between structure and fluidity, precision and errors. It is a quest for harmony. 

The rendering of **Running Moon** is inspired by stained glass and watercolor. It captures the sharpness of the glass and the softness of light using abstract forms. As organic shapes gradually expand to fill the space, brush-pen-like stripes solder these pieces together to form intricate compositions.

Art Blocks Curated

Tide Predictor #149

LoVid

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