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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  1. 2. BOBchain
  2. 2.1 BOBchain background

2.1.4 Lack of Mechanisms to Achieve Economic Circularity;

The expensive arithmetic cost and technology cost of artificial intelligence not only hinders the application and promotion of the artificial intelligence industry. Let the shortage of arithmetic resources and the problem of idle arithmetic resources exist at the same time. It is the status quo of the AI industry that lacks a mechanism to achieve a benign industry-wide ecological economic cycle.

A virtuous and sustainable economic cycle model is critical to achieving a worldwide balance of arithmetic resources and advancing AI.

The combination of BOBchain blockchain technology and AI technology and the extensive use of smart contracts is designed to build just such an economic cycle model. Participants can use their technology or computing power, real-world data, and real-world assets as crypto-assets to obtain corresponding funds or crypto-assets, thus creating liquidity of funds. These AI crypto- assets, in turn, create new wealth in the real world through AI technology, making the entire AI ecosystem sustainable in a virtuous circle.

This crypto-assetisation of the AI ecosystem in the main BOBchain blockchain network provides a stable economic cycle for the entire ecological liquidity. Even ordinary users can provide their real-world reality data to BOBchain to get the corresponding contribution amount for model training or inference. In this way, participants can both obtain contribution Token and gain revenue through crypto-assetisation of their personal real-world data.

Meanwhile, due to the transparency of BOBchain's smart contract and blockchain technology, users can clearly know the status of their data usage, ensuring data privacy and security.

Previous2.1.3 Uneven Distribution of Arithmetic Power, and Lack of a Firm Community BaseNext2.2 Overview

Last updated 1 year ago

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