1.1.2 Products Based on New Techniques

Decentralization & AI Driven Game Experience

- Validation Software for Validators:

Validators have the opportunity to stake their license NFTs or tokens on our platform, enabling them to establish their nodes for processing event results based on on-chain input data. All operations are subject to verification within the software suite we offer. Validators are individuals who leverage PoF to earn incentives.

The verifier node is an important part of the esports ecosystem playing an important role in the game platform. Users purchase a license to become a verification node. Players can stake tokens within a node to obtain rewards. Users who own nodes will receive ACP token airdrops based on their weight.

We care more about the reliability, stability and decentralization of game data. For these game data, AOF leverages the latest blockchain technology for public chain development. Unlike the traditional game market, our game platform is more transparent. With blockchain technology, the platform effectively provides the core data layer and modules, combining staking, betting, and autonomy into the data holding layer, which is governed by a DAO.

The test network will be online after the Strategic Plan is released. Users can purchase a license to run the verification software to verify and test game data. And the nodes will be upgraded to mainnet when the mainnet is online. Directly upgrade and participate in the decentralized verification process of game data, making the entire blockchain more modular from the perspective of data layer, verification layer, and consensus layer.

- AI Development:

Our initiative involves crafting an AI for a MOBA game grounded in a robust large language model (LLM). We've concluded the collection and preprocessing of game data, laying a crucial foundation for our endeavors. Our objective is to leverage the large language model (LLM) to attain a profound comprehension of various game stages (including early, mid, and late game), states, and strategies (such as jungling, dragon/baron control, tower pushing, offense, and retreat). The large language model (LLM) excels in processing these qualitative descriptions and abstract strategies with precision. To refine the AI's capabilities, we plan to employ methodologies from deep learning and reinforcement learning, thereby enriching its performance through rigorous training.