BOINC AI White paper
  • 🌍Abstract
  • 🌍1. BOINC AI Background
    • 1.1 Introduction to BOINC AI
    • 1.2 Introduction to BOINC AI Technology
    • 1.3 Supported AI Projects
  • 🌍2. BOBchain
    • 🌍2.1 BOBchain background
      • 2.1.1 AI development is proportional to arithmetic demand
      • 2.1.2 There is a paradox of sequencing between industry landing and technology diffusion
      • 2.1.3 Uneven Distribution of Arithmetic Power, and Lack of a Firm Community Base
      • 2.1.4 Lack of Mechanisms to Achieve Economic Circularity;
    • 2.2 Overview
    • 🌍2.3 Technical Features
      • 2.3.1 L1 Layer Network
      • 2.3.2 L2 Layer 2 Network
      • 2.3.3 PoVC Arithmetic Contribution Value Consensus
      • 2.3.4 Decentralized Distributed Storage of Encrypted Data;
      • 2.3.5 Proof of Zero Knowledge
      • 2.3.6 Blockchain Standardization for AI
  • 🌍3. BOINC AI Miner
    • 3.1 Hardware Binding and Verification
      • 3.1.1 Binding the Miner to the Chain
      • 3.1.2 Zero proof of knowledge is used for miner registration
      • 3.1.3 Mining Group Network Validation
      • 3.1.4 Compatible Smart Contracts
    • 3.2 Node Client
      • 3.2.1 Initialization of the Mining System
      • 3.2.2 Miner Hardware Identifier
      • 3.2.3 Proof of zero knowledge of the miner is submitted for validation
    • 3.3 AI Training and Validation
      • 3.3.1 Data Hashing
      • 3.3.2 Random Sampling
      • 3.3.3 Validating the AI Model
  • 🌍4. Data Privacy and Security
    • 4.1 Model Confirmation and Training Data Privacy and Security
    • 4.2 Distributed Cryptographic Storage
    • 4.3 Zero-knowledge proof protects user privacy
  • 🌍5. Artificial Intelligence Ecology
    • 5.1 BOINC AI Miner Community
    • 5.2 Web3 Standards for AI Ecology
    • 5.3 Decentralised Model Rental and Trading Marketplace
    • 🌍5.4 BOINC AI Foundation
      • 5.4.1 Overview
      • 5.4.2 Strategic Decision Committee
      • 5.4.3 Committee on Technology Development
      • 5.4.4 Public Relations Committee
      • 5.4.5 Secretariat
      • 5.4.6 Token economy model
    • 5.5 BOINC AI Team
    • 5.6 BOINC AI Development Roadmap
  • 🌍6. Super AI and AI Company
    • 6.1 Super AI Backgroud
    • 6.2 What can AI company do on the platform
    • 6.3 How does AI company issue STO tokens
    • 6.4 How to invest in AI companies in the miners
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2.1.2 There is a paradox of sequencing between industry landing and technology diffusion

There is a sequential contradiction in the development of the artificial intelligence industry between the popularization of the technology and the landing of the industry.

If the technology is not widely used, the industry will struggle to get off the ground.

If the industry doesn't get off the ground, the technology can't be further supported.

So what is to be done to resolve this sequential conflict?

Analytical Thoughts:

The first step is to strengthen the popularization and diffusion of technology.

Increase awareness and understanding of AI technologies through more training and educational activities.

Encourage enterprises and organizations to increase investment in research and development of AI technology to promote the rapid development of the technology.

Deeper integration of industry and technology needs to be strengthened.

By establishing a mechanism for close co-operation between the industry and the technology, it promotes the implementation of the technology in practical applications.

The industry should proactively provide feedback on the needs of technology development to help the direction of technology more closely match the actual needs of the industry.

It is important to encourage co-operation and sharing in all areas.

The technical side can proactively work with the industry to understand its needs and provide solutions accordingly.

The industry side can also actively co-operate with the technology to provide practical scenarios and data support to facilitate the landing and promotion of the technology.

Solution:

BOBchain's exclusive blockchain mainnet for AI services opens new doors for AI ecosystem development.

It utilizes AI and blockchain technologies to provide an exclusive infrastructure and ecological construction platform for technology popularization, promotion, training and educational activities in the AI industry.

BOBchain L1 Layer 1 network and L2 Layer 2 network, utilizing blockchain technology to ensure security and transparency of transactions. The decentralized nature of blockchain provides a reliable infrastructure for AI services.

BOBchain utilizes smart contracts to automate and programmability of AI services. Through smart contracts, users can participate in activities such as model technology and data support, while smart contracts ensure the safety and trustworthiness of AI.

BOBchain makes full use of EVM-compatible smart contracts to provide sufficient liquidity for each AI service on the platform. Users can use model technology, scene data, and arithmetic power as on-chain assets to borrow other digital assets for investment and financial management, thus increasing the revenue liquidity of AI services.

BOBchain provides AI scenario modules through blockchain technology. Using the AI module, BOBchain can help AI technology deeply integrate into real world scenarios. Transform real world scenarios into RWA (Real World Assets) real world assets and promote asset digitization. It is managed and executed by means of smart contracts to provide personalized RWA investment advice and RWA financial solutions for every user in the real physical world.

The full set of technical solutions for BOBchain and BOINC AI server cuts through the problem from computing power. By gradually solving the successive contradictions in the development of the AI industry, we will promote the popularity of the technology and the landing of the industry, and achieve a multi-win situation.

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Last updated 1 year ago

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