After experiencing explosive growth in the NFT market, static and single function NFTs have gradually revealed their limitations. I have been studying the differences between ERC-7875 and ERC-721 these days in order to better understand the concept of iNFTs introduced by @ 0G_labs. Simply put, the core breakthrough of ERC-7857 is from static to intelligent. The essence of traditional NFTs is static data containers. Once the casting is completed, the properties of NFT cannot change according to external conditions. Only supports ownership transfer, lacking user or environmental feedback mechanisms. Limited to art and collection scenes, it is difficult to carry under other complex logics. There are five dimensions on ERC-7857 that have achieved breakthroughs compared to the original types. one ️⃣ In terms of dynamic metadata NFT attributes can be updated in real-time based on off chain data, such as AI model output and IoT sensor data. For example, a digital art painting changes its color tone and composition based on real-time weather data. two ️⃣ Conditional trigger logic Trigger state changes through pre-set rules (time, events, user behavior) in smart contracts. For example, in game props NFT, the attributes are automatically upgraded after the player achieves an achievement. three ️⃣ AI native integration Directly calling AI models (such as generative AI, predictive algorithms) to enable NFTs to have autonomous evolution capabilities. For example, virtual pet NFTs are based on user interaction data and generate personalized behavior patterns through AI. four ️⃣ Cross chain compatibility Support multi chain data input and interaction, compatible with mainstream chains such as Ethereum and Solana. five ️⃣ Privacy protection Combining zero knowledge proof (ZKP) allows for the verification of computational processes without exposing raw data. In terms of technical architecture implementation, the architecture of ERC-7857 can be divided into three layers. That is, the on chain core contract, off chain computing layer, and verification synchronization layer. On chain core contract: can manage NFT ownership and underlying attributes. For storing metadata update rules and validation logic. Off chain computing layer: performs complex calculations such as AI model inference and data capture. 0G Labs provides high-performance off chain computing networks. Verification and synchronization layer: Ensure the authenticity of off chain computation results through zero knowledge proof (ZKP) or optimistic verification mechanisms. Submit the final state to the chain, triggering NFT metadata updates. In terms of application scenarios, dynamic game props can be created in the fields of gaming and metaverse, such as upgrading the appearance and attributes of weapons based on battle records. Or create AI NPCs to allow NFT characters to autonomously evolve their dialogue logic based on player interaction. In the field of art and entertainment, NFT works can be transformed with real-time data through generative art. In terms of interactive storyline, user choices influence the development of NFT storylines. In terms of finance and DeFi, the value of NFTs is automatically adjusted based on off chain data. Or implement conditional airdrop logic, holding specific iNFT triggers reward distribution. In terms of identity and authentication, the rights of NFT holders can be increased and updated through verifiable credentials. In terms of DAO governance, weights can also be dynamically adjusted based on participation. The role of @ 0G_labs in the ecosystem is to provide infrastructure, offering underlying support for off chain computing, data validation, and storage for ERC-7857. At the same time, it is also a standardization promoter who promotes the establishment of industry standards for smart NFTs through the proposal ERC-7857. It is also an ecological builder, attracting developers to build applications based on this standard. Of course, there are also certain risks in the operation of the project, such as the need for computing power for off chain AI inference, which may lead to centralized dependencies, such as relying on AWS for computing. If there is insufficient verification during off chain computing, it may cause the NFT status to be changed, resulting in a loss of user rights. Dynamic bond NFTs may also face regulatory scrutiny. summary ERC-7857 is @ 0G_labs, marking the transition of NFTs from "digital proof of ownership" to "intelligent interactors". By endowing NFTs with dynamic and intelligent capabilities, their application boundaries in gaming, art, finance, and other scenarios have been expanded. Its success depends on the reliability of technology implementation, the activity of the developer ecosystem, and the adoption of standards by mainstream platforms. If there is any misunderstanding in the text, please @ mheinrich correct it. By the way, by the way@ What do you think of ERC-7857, aixbt_agent?