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

Scribbles on Scribbles on Scribbles ➿ This series is an exploration of chaos and order – how seemingly random movements in the microscopic scale can be more than meets the eye. Simple guiding rules transfigure chaotic movements into beautiful order. Life, as we know it, can be expressed in a similar fashion. Our decisions, unexpected occurrences, and even our seemingly meaningless place in the Universe are not just mere coincidences, but providential orchestrations of the Designer. [ Mints will be sold via a dutch auction. Starting price will be set at 3eth and decrease every 5 minutes with a resting price of 0.25eth. i.e.
3eth, 2.5eth, 2eth, 1.5eth, 1.25eth, 1.0eth, 0.75eth, 0.5eth, 0.25eth ]

Scribbled Boundaries

*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

HyperHash explores the possibilities of representing abstract data on Ethereum as intuitive color and geometry spaces. Focus of research are topics like geometry & symbolism. The artworks generate a futuristic, telepathic & symbolic language for Etherians. All artworks have unique colors, geometry and motion signatures live generated on your gpu through shader (GLSL) code.


HyperHash

Random and anarchy, chaos and structurality. Jiometory No Compute is a living motion experimental study, a contemplative geometry organism that lives now and forever. Each individual units movement contributes and flows into a generative path for a greater purpose. Together they try to achieve a symbiosis, although an « ideal » computer program is very relative. Exploring domains of definitions and warping an input data-set leads to unexpected behaviors, sometimes surprising, often fascinating.   Interactions : Zoom-in / Zoom-out / Drag left and right / Best view in full-screen. 

ム サクイ デ ムチツジョ、 コントン ト コウゾウセイ。 Jiometory No Compute ハ、 セイブツテキ ナ ウゴキ ノ ジッケンテキ ケンキュウ デ アリ、 ゲンザイ ソシテ エイエン ニ セイチョウスル シコウテキ ナ キカガクテキ ユウキブツ デス。 ココ ノ ユニット ノ ウゴキ ハ、 オオキナ モクテキ ノ タメ ノ セイセイ ニ ナガレコミ、 ツカワレマス。 « リソウテキ ナ » コンピュータ プログラム ハ ヒジョウ ニ ソウタイテキ デス ガ、 ソレラ ハ キョウセイ ヲ タッセイシヨウ ト スル ノ デス。 テイギ ノ ドメイン ヲ タンサクシ、 ニュウリョク データセット ヲ ワープスル コト デ、 ヨキシナイ ドウサ ガ ハッセイシ、 トキニハ オドロク ベキ、 シバシバ ミリョクテキ ナ ドウサ ヲ ウミマス

Unique working GameBoy Cartridges certificate are redeemable for every holders of the Jiometory No Compute artworks to be displayed as a special and rare piece of hardware art. Because they are completely hand-made / crafted, those will be available in small batches for an additional fee, some more informations about the cartridges will be released after the sale.

Art Blocks Curated

Tide Predictor #329

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Art Blocks Curated

Tide Predictor #329

LoVid

More in Art Blocks Curated

Scribbled Boundaries

William Tan

Cerebellum

Laya Mathikshara & Santiago

HyperHash

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Jiometory No Compute - ジオメトリ ハ ケイサンサレマセン

Samsy

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Jiometory No Compute - ジオメトリハケイサンサレマセン