What is ERC-7857? New standard for smart NFT

0G laboratory has been introduced recently ERC-7857-Che new standards for AI agents Smart NFTS (INFTS) life.

The new framework is set to solve the unique needs of AI agents in the decentralized ecosystem by embedting it into a smart NFT (INFTS). Unlike the traditional NFT, IFFT enables AI proxies to ensure privacy, security and dynamic functions, trading and interaction.

With the continuous growth of the AI ​​agent in complexity and application, the positioning of ERC-7857 is to meet the requirements of the current NFT standards, and provide a strong solution for the AI-driven innovation on the blockchain.

What is a smart NFT (INFTS)?

Intelligent NFT or INFT represents the integration of artificial intelligence and blockchain technology. These NFTs are used for token AI proxy, which can be purchased, sold and transferred safely. Unlike the traditional NFT of static assets such as digital art or collectibles, IFTS brings AI agents into decentralized ecosystem by allowing them to develop and learn.

The main advantage of INFT is that they provide an ownership and control mechanism for AI agents for AI agents in a scattered manner. This means that the control and value of AI agents are not managed by centralized organizations, but in their hands. In addition, when AI agents are resale, the founders of INFT can benefit from the fees of franchise, thereby creating a new economic model for AI development.

Each INFT contains unique metadata representing the “intelligence” representing the AI ​​agent. The metadata can include an agent’s neural network, behavioral mode and other proprietary data that defines the function of agents. However, it is necessary to firmly store and manage this metadata, which is the challenge proposed by ERC-7857.

The limitations of the existing NFT standard

The current NFT standards, such as ERC-721 and ERC-1155, are effective in representing static digital assets such as art and games. However, when applying them to AI agents, they have major limitations. This is the main problem:

1. 1. Static metadata data: ERC-721 and ERC-1155 tokens depend on the static meta-data data that will not be changed after the casting token. However, the AI ​​agent is dynamic, and it is continuously developed according to new data and training. The static properties of existing metadata standards make them unsuitable to define the continuous learning and adaptation of AI.
   2. Unsafe metadata transfer: When the NFT is transferred, the ownership of the token is usually only transferred, and the metadata keeps static or unable to access. For the AI ​​agent, metadata (such as neural models, learning history and behavioral patterns) are transferred with ownership to ensure that the new owner can fully access the agent’s ability.
   3. Sensitive data is not encrypted: AI agents usually include proprietary data or sensitive information, such as customized training models or data specific to users. The existing NFT standards do not provide local support, and process these data to encrypt or securely, so that it is not suitable for the token AI agent.

How will ERC-7857 solve these problems?

ERC-7857 is developed specifically for the shortcomings of the current NFT standards, providing a safer and more flexible framework for the AI ​​agent. This is the method of solving the problem with ERC-7857:

1. 1. Privacy protection meta -data data: ERC-7857 allows metadata related to AI agents. This can ensure that sensitive data (such as neural network models or proprietary learning algorithms) is still private and secure.
   2. Security metadata transfer: When the ERC-7857 is transferred, the relevant metadata can also be transferred safely. The ownership and metadata are handled together to ensure that all the new owners receive the AI ​​agent, including their dynamic functions.
   3. Dynamic metadata: Unlike static metadata in traditional NFT, ERC-7857 supports the dynamic nature of AI agent metadata. With the learning and development of the AI ​​agent, its metadata can be updated to reflect the changes in its behavior, intelligence or other functions. This can ensure that the ability of the agent is complete and accurate.
   4. Integration with decentralized storage: ERC-7857 works with decentralized storage solutions (such as 0G storage) to ensure that the encrypted metadata is firmly stored and kept tampering, and the authorization party can still be accessed.
   5. Verified ownership and transfer: ERC-7857 uses encryption proof and oracles to verify the integrity of ownership and metadata transfer. This adds a layer of security and trust to the process to ensure that the transfer of ownership and metadata is real and verified.

Potential use cases of ERC-7857

ERC-7857 has opened a lot of possibilities for the AI ​​agents of various departments. Here are some potential applications of standards:

1. 1. AI market: INFT can be purchased, sold and traded in the decentralized market. These platforms will enable creators to purchase their AI agents and buyers through encrypted meta -data agents.
   2. Personalized AI assistant: Individuals can have and customize AI agents for personal tasks, such as automation workflow, managing digital assets or interacting with DAPP. These agents can then be resold, and the new owner inherits the personalized function of the agent.
   3. Enterprise AI solution: Enterprises can create exclusive AI agents tailored for specific tasks (such as customer service robots or financial consultants), and transfer these agents to other companies or subsidiaries safely to other companies or subsidiaries.
   4. AI-AS-A-Service: INFT can be used for AI agents leased based on subscriptions. This will allow users to access advanced AI services for specific applications without developing their own AI agents.
   5. Intellectual property monetization: AI developers can model them to ensure how they retain their use and when to use creation control. This allows the establishment of new intellectual property monetization models in AI space.

The release of ERC-7857 is a key step in promoting the integration of AI and blockchain and 0G LABS, and inviting developers and projects to explore how the standard supports the growth of its projects.

Learn more information here: https: //discord.com/invite/0GLABS