AI-generative art predicted to be next trend for NFT sector

Sales of non-fungible tokens, or NFTs, reached $25 billion in 2021, demonstrating that the sector is one of the most sought-after markets in crypto. Art NFTs, in particular, had a big impact last year with Christie’s reporting over $93 million in non-fungible token sales at its fourth annual Art + Tech Summit which took place last August.

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. While these projects are some of the most successful to date, a new subset of NFT is emerging based on advanced technologies and human imagination.

Generative AI NFTs are becoming a new art genre

Known as “generative AI NFTs,” these non-fungible tokens are becoming increasingly popular within the arts community, as well as those interested in emerging technologies like artificial intelligence, blockchain and the metaverse. In order to create generative AI NFTs, one would typically use Generative Adversarial Networks, or GANs. These are algorithms that take advantage of computers to use data to train models to produce machine-made images resembling art.

Claire Silver, a collaborating AI artist, told Cointelegraph that AI-generating NFT art is a relatively new genre, noting that the basic premise is that art is created in tandem with a semblance of artificial intelligence, such as GAN:

“There are code-heavy options and completely no-code tools that anyone can work with. I use the latter in my work. Being able to work with an AI to bring your ideas to life is an experience like no other, it increases creativity in a way that feels like freedom, a type of game you haven’t experienced since you were a kid.

In order to create AI-generating NFTs, Silver explained that she used an art-to-text generator called “Eponym”. Developed by AI-generated art company, Art AI, the Eponym tool allows users to create text-based artwork of their choice and then create those creations directly on the largest NFT marketplace. , OpenSea.

“Cassandra Ex Machina” Source: Claire Silver

Eyal Fisher, co-founder of Art AI, told Cointelegraph that Eponym allows any phrase to be turned into a unique NFT piece of art that will be forever etched on the Ethereum blockchain as a visual representation.

Fisher explained that Eponym was built on algorithms for custom generated art that allows people to create art by interacting with a computer. “Eponym is a collaborative NFT project. Users access it by coming to the website and typing any phrase or word in a text box. The AI ​​then generates illustrations based on the entered text. Fisher added that each text prompt can only be generated once. “There is only one Eponym called ‘Bitcoin,'” he said.

“$btc” image produced by Eponym. Source: Eponym

Although generative AI art is a relatively new concept, Fisher shared that the first Eponym project sold out overnight on OpenSea, making it one of the largest collaborative art projects created by 3,500 different artists. “It’s an experiment in the decentralization of art. The owners of Eponyms are the creators of this art and want to preserve it,” he said.

While Eponym allows users to create their own artistic NFTs, Metascapes is another project developed by three photographers seeking to combine human expression with computer algorithms. Ryan Newburn, one of the photographers behind Metascapes, told Cointelegraph that the project consists of 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 should hit by the end of this month or early February.

“Journey on ice” Source: Métascapes

The AI ​​team behind Metascapes – which is called Versus Labs – explained that the illustrations in each collection are created by training data to recognize real-world images:

“We have images and labels for our photographs, which are called ‘training data.’ When it’s time to generate the output model, we insert a label that tells the model what type of images to output. For example, ice caves and volcanoes were two categories that photographers have worked for in the past, but that wasn’t the majority of the input data, so we wanted to make sure the output had examples of caves. ice and volcanoes.

Versus Labs added that Metascapes’ AI learns as it goes, noting that the generator that produces data improves over time since two learning models are used in tandem. “The generator produces random noise at the start, and the discriminator model tells the generator how to improve the output, so that it more closely resembles the training data. This cycle continues, ensuring that both models improve over time. time.

Iurie Belegurschi, another photographer behind Metascapes, told Cointelegraph that as photographers, the Metascapes team chose to work with AI to generate images because everything about NFTs and Web3 is about machines. , computers and code:

“We decided to collaborate with a machine to create an entirely new world in the metaverse. Everyone now buys PFP avatars, but in our case, people will get a unique land in the metaverse.

The Impact of AI on NFT Artists and Collectors

Although AI-generated NFTs are still an emerging concept, this model has begun to impact both NFT artists and collectors. For example, the digital artist known as “Kami was there‘ told Cointelegraph that working with AI has fundamentally changed the role of the human artist:

“The human needs the algorithm and the algorithm needs the human. For me, this new role meant collecting data, writing code, curating, inspiring to create a theme, and most importantly, “coaching” an algorithm. The process is dynamic and the result collaborative.

“The cartographer” Source: Kami was there

Regarding the difference between generative art NFTs and other non-fungible tokens, “Kami was Here” explained that each result is entirely unique since it was born from an algorithm. “Generative art explores the future of a society wired with human-computer interaction,” said the artist.

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

Dr. Alex Alter, lead AI scientist for Altered State Machine – a protocol that uses NFT intelligence to create intelligent AI agents – further told Cointelegraph that not only do AI-generated NFTs look unique, but also bring a deeper abstract feeling to individuals. . “These NFTs are really unique in that there is no single area in any of the AI ​​works that have similar pixels. Also, in the future, people will be able to create AI artwork thanks to DAOs and chatbot technology, it’s much more than what other NFTs can do today.

“Singularity by AIIV” Source: Dr. Alex Alter

Can AI be trusted to create meaningful NFTs?

While the potential of AI-generating NFTs is evident, whether AI can be trusted to generate quality images based on text or photographs remains a concern.

As such, Newburn mentioned that Metascapes carefully organizes each of its collections. “Our AI team has generated tens of thousands of images. Not all of them will be featured in our mints. If we are unhappy with the category, we strategize and retest which categories will work with each other. Our AI learned from multiple tests.

It is also important to note that there are different ways to generate 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 functioning as a chatbot and the other as a private link which contains more complex algorithms. capable of creating more advanced images. “Kami was Here” further pointed out that some AI artworks may only take a few minutes to generate, while others may take longer:

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

Technology aside, AI-generating NFTs are bound to be a disruptive trend in the future. According to Dr. Alter, AI-generated art has already seen huge volumes on OpenSea, noting that the market will continue to grow this year. He mentioned that this will be the case in part due to the functionality of AI-generating NFTs. “In the future, people will be able to own their own NFT ‘IA artist’ (AI that can produce art) or use an AI DAO to create art with that AI artist.”

Additionally, the rise of the Metaverse is expected to drive the growth of AI-based NFTs. For example, Fisher noted that Eponym’s next project will feature interactive virtual identities where users can take their own portraits to create 3D avatars and animate them using artificial intelligence. “Our idea is to use AI that will allow avatars to take different compatible forms in metaverse environments like Sandbox. In February, the company will introduce additional algorithms that will allow users to generate personalized avatars.