MBE Web3.0 Platform
MBE Web3.0 service platform uses MBE tokens as incentive currency and circulation settlement means, introduces PGC, UGC, developers, provides information, community, live broadcast, information and other services, creates Web3.0 network system, attracts users, retains users, and serves for consumption scenarios. In these processes, an open and transparent pricing system is designed for each aspect of content supplementation, interaction supplementation, and service consumption, and all incentives are settled in the form of MBE tokens.
Users: The behavior of reading, evaluating, sharing, and report handling for each topic content will be recorded by the system, and the system will define the amount of MBE based on the value of these behaviors. When using the community's applications and buying community props, you also need to pay MBE; users who publish SPAM information and violate community rules will have MBE deducted. PGC: Flexible and dynamic registration, fragmented production, MBE is earned by contributing content, the higher the quality, the more rewarding. The information content will be initially distributed with a certain amount of deposit MBE paid by the PGC, and the content will be checked by users clicking, sharing, reporting and other interactions back to the community, and good content will get extra MBE tokens, while bad content will deduct the deposit.
Developers: Provide users with various community services, such as emoji packs, score tweets, etc. Developers get MBE according to the usage of the services, and developers need to consume MBE to publish and promote their services.
The core of the Web3.0 platform is MBE's AI engine, which is a built-in human intelligence engine in the metaverse that integrates scattered data sources (e.g., user-authorized data, data providers, etc.), algorithmic models, and computational resources to accomplish a given task.
MBE AI consists of the Data protocol, the Model protocol, and the STEngine protocol. Data access specifications include: multidimensional data format, data fragmentation, data compression, data encryption, and so on. The multidimensional data is in HDF-compatible format and can be directly applied to a large number of existing analysis programs. The MBE Model is a specification for defining, operating, and storing algorithmic models, supporting various formats such as Protocol buffers, CaffGSodel, and JSON, etc. It has built-in commonly used AI algorithm models, and more models will be provided by metaverse model developers.