ART encounters an algorithm: origin AI in nfts

The world of digital art and collecting subjects has been witnessing significant development in recent years due to the creation of no-fungil tokens (NFT). These unique digital assets have attracted the attention of artists, collectors and investors. However, the NFT creation process is largely relied on algorithms, so AI plays an essential role in their development. In this article, we dive into the intersection of art that encounters an algorithm in the NFS.

The process of algorithmic formation

Traditional NFTs are created using blockchain -based platforms that require human intervention to create unique digital assets. The process usually includes the following steps:

• Conceptualization

  : Artists or designers conceptualize their idea, which is then encoded into a set of instructions or parameters.

• Design and prototyping : These instructions are translated into the code, creating a visual representation of the concept.

• ** Blockchain integration: Digital asset is stored on a blockchain platform such as Ethereum or Binance Smart Chain, where you can verify, trade and transmit between users.

Task AI in creating NFT

Artists have long used algorithms to automate their creative processes, generate new ideas and works of art that are often indistinguishable from those created by people. In the context of NFT, AI has become a powerful tool to automate tasks such as:

1.

• Algorithmic composition : AI can compile music, art or whole stories using pre -defined algorithms and parameters.

• Content creation : AI -powered tools can generate high -quality content, such as text, videos or images that can be used in NFT.

Advantages of use AI to create NFT

Use AI to create NFT offers several advantages:

• Faster prototyping : AI can quickly create digital assets, allowing artists to respond quickly to changing market trends.

• Improved consistency : The content generated AI can be consistent and predictable, thereby reducing the risk of a human error or variation.

• Scalability

  : AI -powered tools can process large volumes of data, which facilitates the production of high -quality NFT in scale.

Examples of art of generated AI

Several artists used AI to create stunning digital works of art that are now considered NFT:

1.

• Machinerate : This artist uses music and pictures generated by AI to create absorbing experiences.

• PSPELE : A renowned digital artist used AI to generate his cult portrait series.

Conclusion

ART meets the NFS algorithm because the intersection of creative human intuition with computational force allows you to generate unique and high -quality digital assets. Although AI is not a substitute for human creativity, it has opened up new opportunities for both artists and collectors. As the art market is constantly evolving, we can expect to see more innovative AI applications when creating NFT.

sources

• “Ascension of non -English tokens (NFT) in the digital art market” from Digital Art News

• “Artforum magazine magazine Artforum Art Fureing”

• “Strojárna: How did AI generated music became NFT” from Forbes

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