0G Labs has introduced ERC-7857, a new NFT standard that is specially made for AI agents. They call these agents intelligent NFTs (InfTs), each wearing its own encrypted metadata. The group hopes that this size AI agents will make, sell and use on decentralized platforms easier.
They also see it as a big step in the direction of AI that is controlled by the owners instead of a central team. This means that everyone, from companies to individual developers, could possibly exchange AI agents as if they were another person active on the blockchain.
Why traditional NFT -Standards don’t work
According to 0G LabsExisting standards such as ERC-721 and ERC-1155 fall short when it comes to AI. These older models are good at dealing with collective objects such as digital art or game items, but AI agents are more complicated. For example, they must hide specific data because that information can be valuable or private.
Traditional NFTs store the metadata of an assets in the open air, which does not protect confidential AI code. Moreover, standard NFTs do not allow safe updates when the AI learns new things over time. As a result, someone who buys an AI agent who uses an old NFT standard would end up an incomplete product and not a way to protect it against unauthorized access.
0G and its ERC-7857 approach
The team behind 0G Labs designed ERC-7857 to take on AI-specific challenges. In essence, this standard protects the ‘intelligence’ of an agent with a coded metadata and offers proof mechanism, so that everyone can really confirm it.
When a person sells or transmits an AI agent, an oracle or has a kind of confidential system-sensitive data for the new owner. This process ensures that only the owner can unlock the core functions of the AI. For example, if a developer has refined a neural network for advanced tasks, they can add that model to an inft.
When it changes ownership, the buyer receives full access, without the risk that the data leaks during the transaction. Buyers also benefit from predictable updates, because ERC-7857 allows an AI to evolve without jeopardizing coding.
In addition, the 0G -Lab team emphasizes that their standard is in the rest of their ecosystem, including services such as such as such as 0G Storage and 0G data availability. With this in place, AI agents can store their data to keep it accessible to the rightful owner and to protect them for everyone else.
0G Labs believe that this opens the door to new AI market sites where infts can easily be traded. Makers also get more control over their income, because they can set royalties with every resale.
Potential applications and prospects
Various use cases have aroused interest among developers. Firstly, companies can change their internal AI services-such as chatbots or tools for data analysis-in infts. This can simplify these tools to different departments or external partners without worrying about losing private information.
Individual developers who specialize in AI can also benefit. Instead of selling their services one contract at a time, they can build specialized infts and offer them on a market, royalties collect when those AI agents change ownership.
This can inspire an increase in AI-driven applications. People who have an inft with unique possibilities can join forces with others in a shared AI marketplace, creating hybrid solutions. A data -oriented AI could combine with a creative AI and generate new possibilities that nobody could reach alone.
Moreover, AI-A-A-A-Service (AIAAS) becomes easier under ERC-7857. Agents can go tokenized and are rented to subscription models, which gives companies or individuals a simple way to record specialized AI tools without building them directly.
Conclusion
By rolling out ERC-7857, 0G Labs, which recently picked up $ 325 million, will shift how the world uses and circulates artificial intelligence. Developers, collectors and companies can all participate, whether they want to acquire powerful AI models whether they want to rebuild and sell them to others.
If this new standard widespread acceptance is advised, this can be a turning point in the relationship between AI, ownership and decentralized technology – where AI agents work safely and independently, while keeping control in the hands of their actual owners.
Note of the editors: written with the help of AI edited and facts controlled by Jason Newey.
