Artificial intelligence (AI) non-fungible tokens can be created by embedding a Generative Pre-trained Transformer 3 (GPT-3) into their smart contracts.
Looking Ahead: Artificial Intelligence (AI) NFTs
Artificial intelligence (AI) non-fungible tokens can be created by embedding a third-generation generative pretrained transformation model (GPT-3) into the token’s smart contract.
AI NFTs are different from regular digital assets in that they are self-learning, can produce new content, and can integrate dynamic experiences into smart contracts.
AI NFT redefines the way we understand digital assets, and among other things creates a way for us to interact with tokenized projects—a more meaningful way.
What about merging NFTs with another fast-growing technology like artificial intelligence (AI)? Please read below for details!
NFTs are digital items stored on a blockchain with unique metadata and identifiers, making them distinct from any other digital asset. They prove ownership and authenticity of digital and real-world items. Since it became popular in 2020, NFT has completely changed one industry after another. The rapid development of the field of artificial intelligence (AI) has opened the door for it to enter the field of Web3. Let’s take a look at the first fruits of this synergy: AI NFTs.
What are AI NFTs?
In a broad sense, artificial intelligence (AI) refers to the ability of computers to simulate human intelligence to complete complex tasks such as decision-making, problem-solving and learning. Over the past decade, artificial intelligence and other related technologies have grown exponentially and are integrated into many aspects of our daily lives. Although AI-generated NFT art has become a major category in the NFT market, some project teams have improved on this basis and begun to integrate AI models in NFT.
One AI NFT design scheme is to incorporate tokenized assets that incorporate the third-generation generative pre-training transformer (GPT-3) AI model into the smart contract of the NFT . GPT-3 is a deep learning-based language model that generates text that replicates human intelligence. AI NFT can interact with people based on user input, but it also has other attributes such as animation. In comparison, AI NFT is more dynamic, because most “traditional” NFTs are usually presented in the form of images or audio files.
How is AI NFT different from regular NFT?
As we have briefly introduced earlier, NFT is unique, indivisible, immutable, and a scarce item in the digital field. They can also serve as proof of ownership of the underlying asset, so that the authenticity and provenance of the underlying asset can be verified at any time, and it is easy to operate.
Unfortunately, most popular NFTs today are static images that cannot evolve or interact with users. In the case of the popular NFT series CryptoPunks, collectors can only interact with these digital collectibles in limited ways.
AI NFTs are different, they have the ability to learn, they can create new content by themselves, and they can also provide dynamic experiences. The more specific environments or users these digital assets are exposed to, the more data that can be extracted and generated.
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The benefits of the fusion of AI and NFT
1. Enhance interactivity
AI NFT can use deep learning methods such as computer vision, speech recognition and natural language processing to increase the dynamics and interactivity of your tokenized assets.
Content creators or project teams can write AI NFT programs based on user input, respond to certain commands or generate new designs, so that the output of tokenized assets can continue to evolve. By providing users with a more meaningful way to interact with NFT, it can bring users a unique experience.
2. Redefining digital art
While the utility of NFTs has been demonstrated across many industries, digital art remains the most popular use case. NFT technology has subverted the way we create and collect digital artwork, allowing us to own and trade NFT in a similar way to owning and trading physical artwork.
AI models for generative art study large databases of man-made artwork to learn how to generate original art. This is especially useful for project teams or creators who want to release a large number of NFT series, but want to avoid the hassle and don’t want to handcraft each work piece by piece.
The NFT that incorporates AI has the characteristics of variable use, intelligence, dynamic changes, and upgradeability, taking generative AI art to a new level. Imagine an NFT that learns from talking to you and responds to your emotions, providing increasingly advanced outputs.
3. Expansion of the ecosystem
After integrating AI and blockchain technology, we can continuously upgrade the basic technical structure. Users can interact with NFT in more ways. In addition, AI technology also supports operating the NFT market in a more intuitive and adaptive way . Supports automatic adjustment of prices, currency rankings, spot market trends, and quick adjustment of other parameters, which help to improve the NFT browsing experience.
Although AI NFTs are still relatively new, their fusion has the potential to unlock new experiences for creators and collectors. AI and NFTs can have synergies, and we’ve already seen some of the ways they work together, and this is just the beginning. Right now, AI NFT is growing rapidly in the Web3 field, which shows that it will create more exciting opportunities in other fields besides the field of art.