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How is AI to redefine the value of digital art
The world of digital art has undergone an important transformation in recent years, motivated by the progress of artificial intelligence (AI). As AI technology is becoming more sophisticated, it is no longer just a matter of creating digital art, but also evaluating and earning it. In this article, we examine how AI modifies the way in which digital art is evaluated.
The rise in algorithmic art
Algorithmic art has been a basic food in the world of digital art since its creation. This type of ART uses complex algorithms to produce images, sounds or other support forms. With the emergence of profound learning models such as generative opponent networks (Gan) and convolutional neural networks (CNN), algorithmic art has become more sophisticated and accessible.
These models can create very realistic and varied digital work, often with shadows and depths that were previously unimaginable. However, this also raises questions about the value of the work. Is it really “art” when they are made with algorithms?
The value of algorithmic art
Although algorithmic art is not considered by some people as traditional “art”, its value lies in creating complex and complex digital works that are difficult or impossible to manually produce. In this sense, it can be claimed that algorithmic art is as valuable as traditional art.
However, the value of algorithmic art also depends on how much the price is. Traditional art markets traditionally appreciate physical work according to their scarcity, origin and market needs. Due to the nature of algorithmic art, it is not digital, so it is not possible to sell these works in a classic sense or physically exchange.
Nevertheless, the value of algorithmic art can be measured in different ways. For example, a very complex or complex work of art generated by Gan can potentially mean tens of thousands of dollars in online markets such as 1stdibs or Artnet.
Digital art galleries fed by AI
To challenge digital art, some galleries have turned to AI -fed platforms that allow them to manage and sell works created with algorithms. These galleries use AI -centered devices to analyze and evaluate the value of their work, often resulting in higher prices than conventional galleries.
For example, the “Artnet” Online Gallery uses AI algorithm to select and assess the artwork created on the platform. The algorithm takes into account factors such as rarity, technical complexity and art demand, which eventually leads to a higher sale of digital arts.
Increase of digital art collection
As the art generated by AI is widespread, a new market is launched: the digital art collection. This market aims to buy, sell and exchange digital works of art created using various algorithms, often in order to add your collection or wallet.
The digital art collection has become increasingly popular in recent years, with technological advances and rare and rise of online platforms as open. These platforms allow users to buy, sell and exchange digital arts in a decentralized way and between their peers.
Conclusion
The effect of AI on digital art is deep and large. While algorithmic art is further developing, we can expect new ways to see these works to assess and earn revenue. The rise in the digital art collection offers new opportunities for artists, galleries and collectors.
Although traditional art markets are not directly affected by AI -generated art, the value of this type of work undoubtedly develops further as it becomes more accessible and affordable. As we move on in this exciting new era, one thing is clear: digital art is no longer just a novelty – it remains.
