The art of creating AI is Predicted to be the next Trend for the NFT Field

NFT art generated by AI algorithms gives new meaning to non-corruptible tokens, but can artificial intelligence be trusted to create a new art genre?

Sales of unusable tokens, or NFTs, reach $25 billion by 2021, proving that the sector is one of the most sought-after markets in crypto. In particular, Art NFTs made a huge impact last year with Christie’s reporting over $93 million in indelible token sales during the 5th Annual Art + Art Summit. took place last August.

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While notable, much of the crypto art scene seems to be dominated by cartoons and memes, as projects like CryptoPunks and Bored Ape Yacht Club have taken center stage. Although these projects are some of the most successful to date, a new subset of NFTs is emerging based on advanced technologies and human imagination.

AI-Generative NFTs become a new art genre

Called “AI-Generative NFTs,” these immutable tokens are becoming increasingly popular among the art community, along with those interested in emerging technologies such as artificial intelligence, blockchain and Metaverse. To create AI-generating NFTs, one often uses a common adversary network, or GAN. These are algorithms that leverage computers that use data to train models to create machine-generated artistic images.

Claire Silver, an AI-collaborative artist, told Cointelegraph that AI-generated NFT art is a relatively new genre, noting that the basic principle is that art is made with music in some form. artificial intelligence, like GAN:

“There are code-heavy options and completely code-free tools that anyone can work with. I use the latter in my work. Being able to work with AI to turn your ideas into reality is an experience like no other, it enhances creativity in a way that feels like freedom, a kind of fun you’ve never seen before. experienced since I was a child. “

To create the AI-generating NFT, Silver explains that she uses a text-to-art generator called “Eponym”. Developed by AI-powered art company, Art AI, the Eponym engine allows users to create artwork based on the text of their choice and then bring these creations directly into the largest NFT marketplace. , OpenSea.

Eyal Fisher, co-founder of Art AI, told Cointelegraph that Eponym allows turning any phrase into a unique work of NFT art that will forever be engraved on the Ethereum blockchain as an avatar.

Fisher explains that Eponym is built on algorithms for personalized artwork that allow people to create artwork by interacting with computers. “Eponym is a collaborative NFT project. Users access it by visiting the website and entering any phrase or word in the text box. The AI will then create artworks based on the typed text. Fisher added that each text reminder can only be created once. “There is only one term called ‘Bitcoin’,” he said.

Although the art of creating AI is a fairly new concept, Fisher shared that the first Eponym project sold out overnight on OpenSea, making it one of the largest collaborative art projects ever created. by 3,500 different artists. “This is an experiment in the art of decentralization. The people who own Eponyms are the creators of that art and want to curate it,” he said.

While Eponym allows users to create their own artistic NFTs, Metascapes is another project developed by three photographers that aims to combine human expression with computer algorithms. Ryan Newburn, one of the photographers behind Metascapes, told Cointelegraph that the project includes 3,333 rare AI-generated NFTs based on photographs taken around the world. Like Eponym, Metascapes leverages AI algorithms to create nature-inspired NFTs. According to Newburn, the first Metascapes collection is expected to be minted later this month or early February.

The AI team behind Metascapes – named Vs. Labs – explains that the artwork in each collection is created by training data to recognize real-world images:

“We have images and labels for our pictures, these are called ‘training data.’ When it comes time to generate the output model, we put a label that tells the model what type of image to include. go out. For example, glacial and volcanic dynamic dangles are two categories that photographers have worked on in the past, but these aren’t the bulk of the input, so we wanted to make sure the output contained examples of ice caves and volcanoes. “

Versus Labs added that Metascapes’ AI learns over time, noting that the data generator outputs better data over time because of the two learning models being tuned. “The generator emits random noise from the start, and the discriminant model tells the generator how to improve the output, so it looks more like the training data. This cycle continues, ensuring both models improve over time. ”

Iurie Belegurschi, another photographer behind Metascapes, told Cointelegraph that as photographers, the Metascapes team chose to work with AI to create the images because everything NFT and Net3 related is about machines, computers and codes:

“We decided to team up with a machine to create a whole new world in the Metaverse. People are currently buying PFP avatars, but in our case, everyone gets a single piece of land in the Metaverse. “

Impact of AI on NFT artists and collectors

While AI-generated NFT is still an emerging concept, the model has already begun to influence both NFT artists and collectors. For example, the digital artist known as “Kami was here” told Cointelegraph that working with AI has fundamentally changed the role of the human artist:

“Humans need algorithms and algorithms need people. For me, this new role means gathering data, coding, curating, inspiration to create a topic, and most of all, ‘training’ an algorithm. The process is dynamic and the results are collaborative. “

In terms of how the art of creating NFTs differs from other non-edible tokens, “Kami was here” explains that each outcome is completely unique as it is generated from an algorithm. “Creative art explores the future of a society that is tightly coupled with human-computer interaction,” the artist mentions.

Furthermore, Fisher points out that the newfound accessibility and desire to own NFTs is the result of AI-generated images. “Many of our users are creating NFTs for the first time, while NFT collectors and buyers are creating their own creations. This is unusual, as most people in our community are not professional artists. ”

Dr. Alex Alter, principle AI scientist for Altered Condition Equipment – a protocol that uses NFT intelligence to create intelligent AI agents – added to Cointelegraph that not only do AI-generated NFTs look unique. unique but also gives a deeper sense of abstraction to individuals. . “These NFTs are truly unique in the sense that there is not a single area in any AI work that has similar pixels. Also, in the future, people will be able to create AI artwork through DAO and chatbot technology. This is much more than what other NFTs can do today.”

“Singularity by AIIV” Source: Dr. Alex Change

Can AI be trusted to generate meaningful NFTs?

While the potential of AI-generating NFTs is clear, the question of whether artificial intelligence can be trusted to produce quality images based on text or photos remains a concern. heart.

As a result, Newburn mentioned that Metascapes carefully curate each of their collections. “Our AI team generated tens of thousands of images. Not all of these will be featured in our mint. If we’re not happy with a portfolio, we strategize and double-check which categories work together. Our AI has learned from many tests.”

It’s also important to note that there are different ways to create AI-based NFTs. For example, Fisher mentioned that Eponym has two versions of its generator available to the public, one on the company’s Discord channel acting as a chatbot and the other a private link containing complex algorithms. more capable of producing more enhanced images. “Kami was Here” further points out that some AI artworks can take just a few minutes to create, while others may take longer:

“There are now free apps like Wombo that can easily generate images. It’s simple for anyone to create. On the other hand, the art of AI can also take months to build and train your algorithms, gather input data, and pay for processing power. AI art can also be very resource-intensive and personalized.”

Technology aside, NFT creating AI is sure to become a disruptive trend in the future. According to Dr. Change, AI-generated art is already in high demand on OpenSea, noting that the market will continue to grow this year. He mentioned that this is partly due to the function of the AI-generating NFTs. “In the future, people will be able to own their own NFT ‘AI artist’ (AI can make art) or use DAO AI to create art together with that AI artist.”

In addition, the rise of Metaverse will accelerate the development of AI-based NFTs. For example, Fisher commented that Eponym’s next project will feature interactive virtual recognition, where users can take a self-portrait to create a 3D avatar and create animations using artificial intelligence. “Our idea is to use AI that allows avatars of different shapes to be compatible with environmental metaverses like Sandbox. In February, the company will introduce additional algorithms that will allow users to create personalized avatars. ”

The intersection of AI and art

Art and AI are two seemingly disparate fields that have begun to intersect in fascinating ways in recent years. Historically, artists have often used technology to push the boundaries of their art, whether through photography, film, or digital media. However, the rise of AI has opened up entirely new possibilities for artistic creation.

AI-generated art is unique in several ways. One of the most significant differences is the ability of AI to produce endless variations and explore new creative possibilities. Unlike traditional art forms, AI-generated art is not limited by the human artist’s imagination or physical constraints. Instead, it uses deep learning algorithms and generative adversarial networks (GANs) to create something entirely new.

AI-generated art can be incredibly complex and multi-dimensional, incorporating a range of different data inputs and outputs. For example, AI algorithms can be trained to analyze vast datasets of images, music, or other forms of media to create new works that reflect patterns and trends in the data. Alternatively, AI-generated art can be used to simulate real-world phenomena, such as weather patterns, animal behavior, or even human emotions.

Despite the seeming “coldness” of AI-generated art, many artists and art enthusiasts are drawn to its unique qualities. Some see AI-generated art as a way to push the boundaries of what is possible in the world of art, while others view it as a new and exciting form of creative expression.

As with any new artistic form, there is a significant debate around the use of AI in art. Some argue that AI-generated art lacks the emotional depth and meaning of traditional art forms and is nothing more than a novelty. Others contend that AI-generated art has the potential to be just as meaningful and impactful as any other form of art, and that it represents a new and exciting frontier in artistic creation.

Despite the debate, it is clear that the intersection of AI and art has opened up new possibilities for creative expression and artistic exploration. As AI continues to advance, we can expect to see even more exciting and innovative uses of this technology in the world of art.

The potential of AI-generated art in the NFT field

The emergence of non-fungible tokens (NFTs) has provided a new avenue for artists to monetize their work, and AI-generated art is no exception. AI-generated art can be sold as unique, one-of-a-kind digital assets that are verified on a blockchain network, making them virtually impossible to duplicate or counterfeit.

One potential advantage of AI-generated NFTs is their ability to generate ongoing revenue streams through their use in various applications. For example, an AI-generated NFT could be used as a digital avatar in a video game, or as a virtual art piece in a virtual reality environment. These uses not only provide additional value for the NFT but can also generate revenue for the artist through licensing or royalties.

AI-generated NFTs also have the potential to disrupt the traditional art world. Currently, art collectors and investors often rely on galleries and auction houses to verify the authenticity of artwork and ensure its value. However, with AI-generated NFTs, the verification process is automated and transparent, making it easier for buyers and sellers to transact without the need for intermediaries.

Furthermore, AI-generated NFTs have the potential to democratize the art world by providing a platform for emerging artists to showcase their work and reach a wider audience. By removing the need for traditional art world gatekeepers, such as galleries and auction houses, AI-generated NFTs can help to level the playing field and provide greater opportunities for artists to succeed on their own terms.

However, as with any new technology, there are challenges associated with creating and selling AI-generated NFTs. Technical skills are required to develop AI algorithms capable of creating compelling and original works of art. Additionally, there are potential ethical concerns around the use of AI in art, such as issues around ownership, authorship, and the potential for bias or discrimination in the algorithms used.

Examples of AI-generated NFTs

Several notable examples of AI-generated NFTs have emerged in recent years, showcasing the unique creative potential of this exciting new art form. One such example is the “Portraits of a Mind” series, created by the Paris-based art collective Obvious. Using a GAN algorithm, the artists trained their AI model on a dataset of over 15,000 portraits from various art periods. The resulting works are a series of portraits of imaginary people, each with its own unique facial features, expressions, and style.

Another example is the work of Robbie Barrat, a young artist who uses GAN algorithms to create unique, surreal landscapes and portraits. Barrat’s work has been featured in numerous exhibitions and galleries and has sold for tens of thousands of dollars as NFTs on blockchain marketplaces.

One of the most significant AI-generated NFT sales to date was the artwork “Everydays: The First 5000 Days” by the digital artist Beeple. This work is a collage of 5,000 individual images, created by Beeple over a period of 13 years. The artwork sold for a record-breaking $69 million at a Christie’s auction, making it the third-most expensive artwork ever sold by a living artist.

Other examples of AI-generated NFTs include the work of Refik Anadol, who uses AI algorithms to create mesmerizing visualizations of data, and the “AI-generated Bodies of the Future” project by the design studio Digi-Galaxy, which imagines how human bodies might look in the future based on current trends in technology and biology.

These examples demonstrate the incredible potential of AI-generated NFTs as a new form of artistic expression and investment. By leveraging AI algorithms to create unique, one-of-a-kind digital assets, artists can tap into new markets and reach audiences in ways that were previously impossible. As the field of AI-generated art continues to evolve, we can expect to see even more exciting and innovative uses of this technology in the NFT field and beyond.

The challenges of creating AI-generated NFTs

While the potential of AI-generated NFTs is vast, there are several challenges that artists and creators face when creating these digital assets.

Technical expertise

One significant challenge is the technical expertise required to develop AI algorithms capable of creating compelling and original works of art. Creating an AI model that can produce high-quality artwork requires a deep understanding of machine learning, computer vision, and other technical fields, making it difficult for many artists to get started.

Potential ethical concerns

Another challenge is the potential ethical concerns around the use of AI in art. There are questions around ownership and authorship, as well as the potential for bias or discrimination in the algorithms used. For example, if an AI model is trained on a biased dataset, it may produce art that perpetuates those biases, potentially leading to controversy and backlash.

Practical considerations to creating and selling AI-generated NFTs

In addition to technical and ethical challenges, there are also practical considerations to creating and selling AI-generated NFTs. For example, while blockchain technology provides an excellent platform for verifying the authenticity of digital assets, it is not without its technical limitations. For instance, the size of an NFT can impact the cost of creating and storing it on a blockchain network. Furthermore, the sheer volume of NFTs being created can create issues around discoverability, making it difficult for buyers to find and purchase the artworks they are interested in.

Despite these challenges, many artists and creators continue to experiment with AI-generated NFTs, driven by the potential to disrupt traditional art markets and reach new audiences. To overcome the technical and ethical challenges associated with AI-generated art, many are collaborating with technical experts and engaging in ongoing discussions around best practices for creating and selling these digital assets.

Ultimately, the challenges of creating AI-generated NFTs reflect the complex and rapidly evolving nature of this exciting new art form. As the field continues to mature, it is likely that new solutions will emerge, addressing these challenges and opening up even more opportunities for artists and creators to explore the intersection of AI and art.


The intersection of AI and art has opened up exciting new possibilities for artistic creation and expression, with AI-generated NFTs at the forefront of this exciting field. The potential of AI-generated NFTs in the art world is immense, providing a platform for artists to create unique, one-of-a-kind digital assets that are verified on a blockchain network, making them virtually impossible to duplicate or counterfeit.

AI-generated NFTs have the potential to disrupt traditional art markets and provide new opportunities for emerging artists, leveling the playing field and democratizing the art world. By leveraging AI algorithms and blockchain technology, artists can create highly complex and multi-dimensional works of art that are impossible to create with traditional art forms.

Despite the many challenges associated with creating AI-generated NFTs, such as technical expertise, ethical considerations, and practical issues, artists and creators are pushing the boundaries of what is possible, driven by the potential to create something entirely new and meaningful.

As the field of AI-generated art continues to mature, we can expect to see even more exciting and innovative uses of this technology in the NFT field and beyond. By engaging in ongoing discussions around best practices and collaborating with technical experts, artists and creators can overcome the challenges of creating AI-generated NFTs and unlock the full potential of this exciting new art form.

In conclusion, AI-generated NFTs represent a new and exciting frontier in the world of art, with the potential to revolutionize the way we think about creativity, ownership, and value. While there are challenges to overcome, the benefits of this innovative new art form are clear, and we can expect to see continued growth and innovation in the years to come.

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