A Peek into the Future: Artificial Intelligence (AI) NFTs
The main point
Non-fungible artificial intelligence (AI) tokens can be created by embedding Generative Pre-trained Transformer 3 (GPT-3) into their smart contracts.
Unlike regular digital assets, AI NFTs can create new content and integrate dynamic experiences into their smart contracts thanks to their self-learning capabilities.
In addition to helping redefine the way we think about digital assets, NFT AI can help create more meaningful ways for us to interact with tokenized items.
What happens if you combine NFTs with other fast-growing technologies like artificial intelligence (AI)? Read on to find out!
NFTs are digital items stored on a blockchain that store metadata and unique identifiers that make them uniquely distinguishable from other digital assets. NFTs are used to prove ownership and authenticity of digital and real-world objects. NFTs have revolutionized one industry after another since their popularity skyrocketed in 2020. A huge leap forward in the field of artificial intelligence (AI) has now opened the door for this technology to expand into the Web3 realm. Meet one of the first fruits of this synergy: NFT AI.
What is NFT AI?
Artificial intelligence (AI) is widely understood as the ability of computers to simulate human intelligence and perform advanced tasks such as decision making, problem solving, and learning. AI and other similar technologies have scored exponential growth in the last decade related to various aspects of our daily lives. Although AI-generated NFT art has emerged as one of the main categories of the NFT market, some project teams have stepped up to the plate and started incorporating AI models into NFTs.
One of the AI NFT designs is an asset token with a Generative Pre-trained Transformer 3 (GPT-3) AI model coded into its smart contract. GPT-3 is a language model based on deep learning and is used to generate human-like text. Apart from being able to interact with humans through user input, AI NFTs can come with other properties such as animation. This makes them more dynamic compared to “traditional” NFTs which often take the form of image or audio files.
How are AI NFTs Different from Regular NFTs?
As briefly touched on above, NFTs are unique, indivisible, immutable, and digitally rare. NFTs can also act as proof of ownership of the underlying asset, so its authenticity and provenance can be easily verified at any time.
However, currently most popular NFTs are static images that cannot evolve or interact with users. For example, CryptoPunks are a very popular NFT collectible, but the ways you interact with these digital collectibles are limited.
In contrast, NFT AI can create new content on its own and generate dynamic experiences thanks to its learning capabilities. The more these digital assets are exposed to a particular environment or user, the more data they can pull and generate.
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Benefits of Merging AI and NFTs
1. Improved interactions
NFT AI can leverage deep learning methods such as computer vision, speech recognition, and natural language processing to make your asset tokens more dynamic and interactive.
Content creators or project teams can program NFT AI to respond to specific commands or generate new designs based on user input, allowing the output of asset tokens to continuously evolve. This opens up a unique experience for users by giving them a more meaningful way to interact with their NFTs.
2. Revamp digital art
While NFT uses can be realized in many industries, digital art is still one of the most popular use cases. NFT technology has revolutionized the way we create and collect digital art, allowing us to own and trade them like physical art.
In the generative art space, AI models study large databases of human-made artwork and learn how to produce original art. This is especially useful for project teams or creators who want to release large sets of NFT collectibles but want to avoid the hassle of creating each piece by hand.
To take generative AI art to the next level, AI-powered NFTs are customizable, intelligent, dynamic and upgradeable. Imagine an NFT that can learn from conversations with you and react to your moods creating increasingly complex outputs.
3. Wider ecosystem
Combining AI with blockchain technology allows us to continuously improve the underlying technological structure. In addition to giving users more ways to interact with their NFTs, AI technology can also provide a more intuitive and adaptive approach to running an NFT marketplace. The ability to automatically adjust prices, listings, view market trends, and change other parameters on the fly can help improve the NFT browsing experience.
Conclusion
Although AI NFTs are still relatively new, the combination of AI and non-fungible assets has the potential to open up new experiences for creators and collectors. We're just starting to see some of the ways AI and NFTs can combine to work synergistically. The current growth of NFT AI in the Web3 space suggests that it will continue to present more exciting opportunities in domains outside of the art space.
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Further Reading
(Support) How to Get Started on Binance NFT Marketplace
(Blog) Are NFTs Disrupting the Digital Art World?
(Blog) NFT Development: A New Era for the Entertainment Industry
(Blog) NFT Authentication: Combating Counterfeit and Fraudulent NFTs
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