Permanent Pixels NFT

Next Generation Digital Art

Coming Soon

Example Permanent Pixel
Pixels

Permanent Pixels are 50 “pixel” X 50 “pixel” images that are generated randomly. Each image contains 2500 “pixels,” all of which have an equally likely chance to be black or white.

Chainlink VRF

Every image is created with verifiable randomness, using Chainlink Verifiable Random Function, which is the only way to create truly random numbers on the blockchain.

Polygon Network

Permanent Pixels live on the Polygon Network, which was chosen for its low transaction costs and reliability.

Infinite Ape Theorem

The Permanent Pixels Project is based on a theory we have named the Infinite Ape Theorem:

Randomly changing the color of pixels in an image, an infinite number of times, will eventually result in visually significant creations.

100% On Chain

Both the data used to create each Permanent Pixel and the Permanent Pixels themselves live 100% on-chain.

Permanent

Once a Permanent Pixel has been created, can never be edited or deleted: it will live on the blockain forever.

Limitless Possibilities

There are more potential Permanent Pixel images than there are stars in the observable universe.

Super Optimized

The Permanent Pixles smart contract is so efficient that 1000 NFTs can be minted in a single transaction. You might even call the contract a genius contract.

How Permanent Pixels are Created

Save data to the chain

1. A random number is brought onto the blockchain and into the Permanent Pixels smartcontract.

2. The random number is then saved on the Polygon blockchain where it cannot be edited or removed.

Read the data to create a NFT

3. Once the random number has been saved to the chain, the Permanent Pixels smartcontract will access it and convert it to binary (0's and 1's).

4. Each 0 from the random (converted) number will represent a black square / pixel and each 1 will represent a white square / pixel. These pixels are mapped in the order that they come, onto a 50 X 50 grid, until the whole grid is full.

Output NFT

5. The 2500 "pixel" image will be created along with other metadata such as the ranom number used, skew of image (more black or white pixels) and a rartiy score.

Fun Fact

As a means to keep the mint cost low, the random number is the only piece of information stored to the chain. Every time a NFT needs to be viewed, the smartcontract rebuilds it super fast, using the NFT's random number as instructions. Just as is the case with physical items, the instructions are much smaller than what you are actualy buiding.

Rarity

Mathematical Rarity Score

Each NFT has a “mathematical rarity score.” This number is included in the NFT metadata and ranges from 0 to 1250. The mathematical rarity score is an objective score of the NFT's rarity. The higher the score, the rarer a NFT is. The difficulty of getting a high score increases exponentially.

Each of the individual 2500 squares in a Permanent Pixel have an equally likely chance of being black or white. Given this information, it can be assumed that the “average” image will contain 1250 white pixels/squares and 1250 black pixels/squares. The further the pixel distribution deviates from the expected average, the more rare the image. This deviation or lack there of, is represented by a mathematical rarity score that ranges from 0 to 1250.

The mathematical rarity score is calculated by taking the absolute value of 1250 minus the number of black pixels in an image.

Visual Resemblance

Images with high visual resemblance are extremely rare, and are the most valuable. These images "look like something" and validate the Infinite Ape Theorem stating that: "Randomly changing the color of pixels in an image, an infinite number of times, will eventually result in visually significant creations."

A visually significant Permanent Pixel will have meaning to the viewer. In the same way you can look at a cloud and see people, places, or things, you can do the same with Permanent Pixels.

What you see in an image may differ from what others see, as our perception is influenced by many constantly changing factors, such as our background, culture and environment.

It is possible to get a NFT with high visual resemblance that does not have a high mathematical rarity score.