Cypher Art

0x4…b5e

ERC1155

By using Procreate, Pixelmator Pro, and Machine Learning iH0DL harnessed the power of the new Apple M1 chip to generate QR Hashes. The machine learning tool utilized was provided by Apple and can be found through their developer portal. This model was trained over 100,000,000 times over the course of months starting December 2020 and finalized on February 27 2021, ready to start hashing QRs by number. Each Hash is generated algorithmically using random number generation, to determine traits and outcome of the QR Hash. It is also possible to use images and videos to generate QR Hashes, but it is still in beta testing. Each QR Hash is 100% Unique and there will never be two of the same Hash. Rarity is determined by color which has nothing to do with the actual appearance of the QR Hash. This model was developed to pick color from the light spectrum using random number generation and color-name matching. Rarity cannot be predicted prior to making or minting. **** Note from iH0DL as of right now it looks like the Machine is choosing green colors for rarer items. I am still not sure if this is true as the sample size is quite small right now.

Name

QR Hashing #3

Owner

0x2897958f27EF55067E39afd882F2F5695D266E98

ID#33424816…857409

Rarity

HI:21%