BLOCKAI
  • ⌚Origin of BLOCKAI
    • The Growing Demand for Artificial Intelligence (AI)
    • Challenges with Current AI Platforms
    • Market Opportunity for Decentralized AI
    • The Future of Decentralized AI
  • 🎈Introduction
    • Introduction
    • A Decentralized AI Ecosystem
  • 💻Mechanism & Technology
    • Decentralized AI Model Hosting
    • AI Model Validation via Community Validators
    • Tokenization of AI Models
    • Decentralized AI Mining
    • AI Mining: Developers Contribute by Hosting AI Models
  • 💰Tokenomics
    • Tokenomics
  • 🔦Roadmap
    • Roadmap
  • 📝FAQ
    • FAQ
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  1. Mechanism & Technology

Decentralized AI Mining

BLOCKAI integrates cutting-edge blockchain technology with decentralized AI mining, creating a robust infrastructure where both AI development and computational resources are distributed across a global network of participants.

  • Blockchain for Trust and Security: The use of blockchain technology ensures that all transactions, from AI model contributions to user interactions, are secure and transparent. By recording every transaction on the blockchain, BLOCKAI eliminates the need for intermediaries and guarantees that the platform remains open, fair, and immutable.

  • Decentralized Mining: Developers act as miners by contributing their AI models to the platform, and in return, they are rewarded with $SOA tokens based on the usage and performance of their models. This decentralized mining process ensures a constant supply of AI resources to the ecosystem and incentivizes developers to create high-quality models that benefit the entire community.

  • Hybrid Consensus Mechanism: BLOCKAI employs a hybrid consensus mechanism that combines Proof of Work (PoW) and Proof of Stake (PoS) to maintain the security and integrity of the network. PoW ensures that contributors (miners) are rewarded for their computational work, while PoS allows token holders to participate in the validation and governance of the network. This hybrid approach ensures that the network is both secure and efficient, combining the best of both consensus mechanisms.

  • Security and Fairness: The hybrid consensus model provides additional layers of security, making it resistant to attacks and ensuring fairness in model validation and transactions. PoW ensures that those who contribute computational resources are rewarded fairly, while PoS ensures that token holders have a say in the direction and governance of the platform.

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Last updated 3 months ago

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