LooksRare Token

LooksRare

Ethereum

Base Bridge

*FAKE IT TILL YOU MAKE IT* borrows from the bubbly language and pastel aesthetics of text driven instagram graphics to scrutinize the promotion of wellness, self-care, and confidence on social media.

The piece concentrates on the rhetoric employed in these posts. Persuasive, upbeat, and relentlessly inspirational, there’s a sense of authority embedded in each one. By remixing words and phrases sourced from these types of existing instagram posts, the program generates combinations that mimic their cheerful tone, but range from feeling vaguely familiar to totally absurd. 

Text is wrapped in the sugar cookie aesthetic world of “girl power positive vibes boss babe” kind of media, imitating the graphics designed to catch your eye as you’re scrolling through your feed. Visual variables include the output’s background style, color palette, and layout, as well as other decorative elements such as stars ✹, hearts ♡, flowers ✿, and sparkles ✧ :D

Online, these media objects survive on likes, comments, and shares. *What do I believe?* becomes *What do I want to appear to believe?* Fake it till you make it! Maybe your dream life lives here: In a digital, fantasy world where the algorithm plays god and loving yourself feels like looking into the light of your screen.

ଘ(੭ˊᵕˋ)੭* ੈ✩‧₊♡ ✧･ﾟ: *✧･ﾟ:*ﾟ✧･ﾟ: *✧･ﾟ:*ﾟ✧･ﾟ: ✧･ﾟ: *✧･ﾟ:*ﾟ✧･ﾟ: *✧･ﾟ:*ﾟ✧･ﾟ

FAKE IT TILL YOU MAKE IT #386

OpenSea

A cryptoart collectible series to indulge the irrepressible human compulsion for pareidolia. This algorithmic homage to Hermann Rorschach's inkblot perception test will help you externalize your inner world onto the sometimes elegant, sometimes inchoate curves of a unique, one-of-a-kind, ownable cryptoblot on the Ethereum blockchain. What will YOUR cryptoblot reveal about you?

Cryptoblots #552

Cryptoblots #90

Wrapped Ether

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🦹🏿‍♀.eth

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*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 #285

Cryptoblots #769

🤹🏾‍♂.eth

Cryptoblots #463

Cryptoblots #899

🙆🏼‍♀.eth

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Cryptoblots #495

# Neural Sediments

## “Before objectivity, there was truth to nature; after the advent of objectivity came trained judgment”

Lorraine Daston, Peter Galison

Improving my decision-making process is how I would sum up my lifelong quest. Understanding yourself and the unlimited variables and actors surrounding us daily requires a radical yet utopian pursuit of objectivity.

A prerequisite to an objective observation is identifying and eliminating cognitive and observational biases.

My obsession with objectivity started as a sociology student; while studying epistemology of science and pondering the works of Emile Durkheim, Max Weber, and Karl Popper.

This quest never left me and has been a cornerstone of my artistic practice for 25 years.

“The map is not the territory” is a mainstream expression highlighting a potentially oversimplified version of reality. In this series called Neural Sediments, inspired by the works of Alberto Burri, František Kupka, and Swiss topography, I highlight the complexity of our brains and some of their biases.

Looking at one Neural Sediment will deliver you a first broad impression; however, looking at it for a longer time will yield a never-ending and much more nuanced and delicate observation. Like Alberto Burri’s Cracks series, some things not obvious to the eye become real over time. Each Neural Sediment opens itself to the viewer in a unique way. The more you look at it, the more you can decipher it. 

Like Swiss alpine glacier sediments, this material appears only after a certain amount of time and a decent amount of gravity. Burri used a special technique to envision time with cracked canvas; František Kupka, in his Katedrála painting, opens the fourth dimension by looking at the vertical lines of the glass window.

In the Neural Sediments series, I used both as an inspiration to push the viewer’s eye to search for more details and a deeper perspective.

Choosing color palettes for a long-form generative art collection is as demanding as solving technical algorithmic challenges. 

The color palettes I create result from a process I've built into my practice over time. Each palette comes from my own algorithmic selection trained on classical masterpieces.

After this first selection, each set of colors used in a Neural Sediment is re-arranged to be linked with endangered ecosystems such as dark blue waters, peach salmons, rare botanic species, or volcanos.

Like Josef Albers, who highlighted the instability and deceptiveness of colors, my color sets are here to reinforce the question of objectivity in the art world and life in general.

Looking at its overall structure, each Neural Sediment evokes a brutalist architecture. 

Prioritizing function over form, each Neural Sediment aims to be used as a tool to rediscover oneself, free from the cognitive constraints we put on ourselves and the world around us.

PS: From a technical point of view, Neural Sediments require some heavy calculations, considering the very large number of intersections to compute prior to rendering.

PPS: Pressing the letter “i” on your keyboard will generate a high resolution export for a large scale and print friendly format.

Neural Sediments #209

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四三六八.eth, an ENS name. ⚠️ ATTENTION: This name contains non-ASCII characters as shown above. Please be aware that there are characters that look identical or very similar to English letters, especially characters from Cyrillic and Greek. Also, traditional Chinese characters can look identical or very similar to simplified variants. For more information: https://en.wikipedia.org/wiki/IDN_homograph_attack

四九八零.eth, an ENS name. ⚠️ ATTENTION: This name contains non-ASCII characters as shown above. Please be aware that there are characters that look identical or very similar to English letters, especially characters from Cyrillic and Greek. Also, traditional Chinese characters can look identical or very similar to simplified variants. For more information: https://en.wikipedia.org/wiki/IDN_homograph_attack

59175.eth

$0.39

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