Technical Solutions: Co-Construction and Sharing

1. The infrastructure of the MSN Social Network

Metya's core technology architecture is built on the MSN (Metya Social Network) social network infrastructure, aimed at providing users with a decentralized and controllable social platform. By integrating advanced blockchain technology and AI models, the MSN social network seamlessly connects user interactions, content creation, data circulation, and economic activities, returning social value to users.

Moreover, it allows users to participate in network construction through system-approved hardware devices and personal devices, contributing to network security and AI large model training, resulting in healthier and more robust social network infrastructure development.

Core Features of the Technical Architecture:

• Decentralized Infrastructure: MSN uses blockchain technology to ensure user data ownership and privacy protection, allowing every user to securely store and manage their social data on the platform. Unlike traditional Web2 platforms, Metya does not rely on centralized servers for data storage but maintains data integrity and security through a distributed network structure that users can help build, significantly reducing risks of data breaches and misuse.

• Smart Contract-Driven Social Interaction: The Metya platform combines smart contracts with social interactions, using decentralized protocols to record each user interaction (likes, comments, shares, etc.). Through smart contract technology, users can engage in transparent and fair interactions with others, and all these interactions will be recorded on the blockchain, ensuring data immutability and verifiability.

• AI-Driven Social Influence Capture Mechanism: The MSN network integrates AI algorithms to capture and analyze user behavior data on the social platform, evaluating users' social influence in real-time through machine learning models. This mechanism not only helps users directly translate interactions into economic benefits but also intelligently allocates token rewards based on users' contributions, encouraging active community engagement.

• Multi-Chain Support and Cross-Chain Interoperability: Metya's MSN social infrastructure supports multi-chain deployment, including Solana, BNB Chain, and Ethereum, enabling users to flexibly manage and trade their digital assets across different blockchain networks. This design of cross-chain interoperability not only enhances asset liquidity for users but also expands the boundaries of Web3 social networks to adapt to a broader blockchain ecosystem.

2.AI Large Model Training Based on Real User Social Data

The Metya social platform is not just a decentralized interaction platform; it also drives AI large model training through users' real social data, further enhancing social experience and data monetization. This process allows users to participate in building the platform's ecosystem while contributing to the evolution of AI models, turning their social behaviors into actual economic benefits.

Core Technologies and Advantages:

• Data-Driven AI Model Optimization: Metya collects and analyzes user social behavior data (likes, comments, shares, content creation, etc.) to utilize this data for machine learning and big data analysis, training and optimizing AI large models. This data-driven approach enables the AI model to understand user preferences, predict behavioral trends, and provide personalized content recommendations and interaction experiences more accurately.

• User Data Ownership and Privacy Protection: Throughout data collection and usage, Metya prioritizes user data ownership and privacy protection. Using decentralized technologies and zero-knowledge proof mechanisms, the platform ensures that personal privacy information is not disclosed when using user data for AI training. All data processing is conducted under privacy protection, ensuring data security and transparency.

• Deep Integration of AI Large Models and Social Influence: Metya deeply integrates AI large models with social influence scoring systems, ensuring that each user interaction provides data support for model training. This not only enhances the intelligence of the AI large models but also converts social interactions into actual token rewards based on user contributions, creating a positive incentive mechanism that encourages more users to engage in platform building.

• Decentralized AI Training Network: The Metya platform allows users to participate in AI model training through hardware devices and personal terminals, becoming part of a decentralized AI training network. By contributing computing power and data, users can directly partake in the model optimization process and earn corresponding token rewards. This decentralized AI training method not only reduces the cost of AI R&D but also fully utilizes the resources of global users, injecting new momentum into the evolution of large models.

3.User-Participatory Network Infrastructure Construction

Metya is not just a social platform; it represents a new decentralized network infrastructure that offers every user the opportunity to participate in co-construction and maintenance of the platform. Through user-initiated hardware and software nodes, Metya achieves a community-maintained network ecosystem, enhancing platform security and stability while providing users with additional economic benefits.

Core Features and Mechanisms:

• Hardware Nodes: The Metya platform supports users in participating in network node construction through dedicated hardware devices (such as AI translators). These hardware nodes not only provide computing and storage capabilities to the platform but also help optimize the training process of AI models by processing social interaction data on the platform. Users can earn token rewards by contributing computing power and storage resources via hardware devices, becoming an essential part of the network operation.

• Software Nodes: In addition to hardware devices, users can participate in network verification and governance by purchasing or holding Metya platform NFT assets. Software nodes play a crucial role in verifying data and blockchain transactions while ensuring secure storage and fast transmission of social data. By contributing through software nodes, users continuously receive token rewards and social influence points, thus increasing their economic returns on the platform.

• Co-building and Governance: Metya's network infrastructure adopts an open governance model, allowing users to participate in platform management and decision-making as node holders. Node holders can vote on network protocol upgrades and the ecosystem's development direction, as well as propose new features and optimizations through the proposal mechanism. This co-building and governance model ensures the platform's fairness and transparency, giving every participant a voice and an opportunity to be involved.

• Decentralized Security Mechanism: Metya has built a decentralized security system through its distributed node network. Each node operates independently, effectively resisting single points of failure and malicious attacks, ensuring the network's high availability and data security. This multi-node architecture not only enhances the platform's resilience but also allows for rapid self-repair and recovery when facing network threats.

By allowing users to deeply engage in the construction and governance of its network infrastructure, Metya truly achieves its decentralization goal. Every user is no longer just a social platform user but a builder and beneficiary of the entire ecosystem.

4、DPoW (Data Proof of Work) Consensus Mechanism

Metya introduces a new DPoW (Data Proof of Work) consensus mechanism, a novel data verification and consensus algorithm focusing on turning user behavior data into value within the social network. This mechanism not only enhances data security and transaction efficiency but also tightly integrates social interactions with the decentralized economic model.

Core Features of the DPoW Consensus Mechanism:

• Data-Driven Consensus:

Unlike traditional Proof of Work (PoW), where computing power is the key to driving consensus, in DPoW, data itself becomes central. Every interaction, like, share, and content post on the Metya platform is considered a data contribution and becomes a vital part of consensus verification.

Through DPoW consensus, the system dynamically allocates platform resources and token rewards based on the user's social behavior data contribution, truly realizing the concept of "data as value."

• Data Security and Privacy Protection:

DPoW not only implements efficient data verification during the consensus process but also integrates strong data encryption and privacy protection technology. Every user's data is encrypted via blockchain technology, ensuring that user privacy is protected even during data participation in consensus.

Utilizing smart contracts and decentralized storage, the DPoW mechanism raises the security and transparency of data, ensuring that it is tamper-proof and traceable.

• Dynamic Data Incentive Mechanism:

The DPoW mechanism creates a dynamic data incentive system within the Metya platform. Users not only earn ME points by participating in social interactions but also receive additional MET token rewards through data contribution.

As the platform ecosystem expands, the DPoW mechanism will continuously adjust the incentive mechanism for data contribution based on the value of data and the growth of traffic, ensuring that early participants and core data contributors can receive higher economic rewards.

• Decentralized Network Construction and Consensus Efficiency:

The DPoW consensus mechanism greatly enhances the decentralized nature of the Metya social network, allowing users to participate in the co-construction of the network through data contributions and investment in hardware resources (such as Metya Mindmaster and Metya Butterfly nodes).

This mechanism not only optimizes the efficiency of network computing power usage but also enhances the consensus speed, enabling the Metya network to process data and validate transactions at a lower cost and with greater efficiency.