Synesis One
  • Abstract
    • Ontology | Definition
  • 1. Overview
  • 2. Ecosystem: Synesis One
    • 2.1 Intention
    • 2.2 Ecological Landscape of Data Monetization
    • 2.3 Shared Economy - Distribution of Value
    • 2.4 Sustainability Through Wealth Creation
  • 3. Ecological Flow Part 1: Ontology Mining
    • 3.1 Overview
    • 3.2 Architecture
    • 3.3 Ontology Miners: Architect, Builder, and Validator
    • 3.4 User Interface
    • 3.5 Gamification
      • 3.5.1 Ontology Mining: The Architect, Builder and Validator Scores
  • 4. Ecological Flow Part 2 : Provenance Registering
    • 4.1 Overview
    • 4.2 Architecture
    • 4.3 Process
    • 4.4 Plug-n-Play Modularity with AI Systems
    • 4.5 Solana
    • 4.6 Meta-Data Database
    • 4.7 Mind AI as the First Beneficiary and Consumer
  • 5. Ecological Flow Part 3: Primitive Indexing
    • 5.1 Overview
    • 5.2 Architecture
    • 5.3 Process
    • 5.4 The Metaplex NFT Standard
    • 5.5 Synesis Metaverse
    • 5.6 Synesis Relevance Index (SRI) and Synesis Relevance Index Score (SRIS)
    • 5.7 Kanon
      • 5.7.1 Inspiration
      • 5.7.2 The Design
      • 5.7.3 Collectable
      • 5.7.4 Social Currency of Community Participation and Stickiness
      • 5.7.5 Multi-Language Support
      • 5.7.6 Release Schedule
        • 5.7.6.1 Kanon Collection Epoch Event and Chronological Sequencing
      • 5.7.7 Partnership with Digital Artists
      • 5.7.8 Economics of Claimable Ownership Reward
      • 5.7.9 Recruiting Mechanism
  • 6. Ecological Flow Part 4: Primitive Monetizing
    • 6.1 Overview
    • 6.2 Architecture
    • 6.3 Atomic Split
    • 6.4 Collateral-based Asset Transmutation (CAT)
    • 6.5 Potential DeFi Applications
  • 7. Ecosystem Element 1: SynesisDAO
    • 7.1 Intents
    • 7.2 Constituencies
    • 7.3 Overall Economics
    • 7.4 Governance
  • 8. Ecosystem Element 2: Kanon Exchange
    • 8.1 Motivation
    • 8.2 Revenue Model
    • 8.3 Gamification
    • 8.4 Community Events
  • 9. Ecosystem Element 3: Rewards | Subject to Changes
    • 9.1 Overview
    • 9.2 Mining Rewards
      • 9.2.1 Mining Requirement
      • 9.2.2 Release Schedule
      • 9.2.3 Synesis One Mining Rewards Equations
        • 9.2.3.1 Dynamic Maximum Rewards for Participants
    • 9.3 Kanon Ownership Claimable Rewards
      • 9.3.1 Claimable Reward Requirement
      • 9.3.2 Claimable Reward Release Schedule
      • 9.3.3 Kanon Ownership Claimable Rewards Equations
  • 10. Ecosystem Element 4: Mind AI
  • 11. Ecosystem Element 5: Synesis Foundation
    • 11.1 Intention
    • 11.2 Ethics Board
    • 11.3 Key Value Proposition
  • 12. Anatomy of Dual Token Model
    • 12.1 Overview
    • 12.2 On Synesis ($SNS)
      • 12.2.1 Inflationary Measure | Subject to Changes
      • 12.2.2 Deflationary Measure | Subject to Changes
    • 12.3 On Kanon (KNN)
  • 13. Conclusion
    • Why?
  • References
Powered by GitBook
On this page
  1. 4. Ecological Flow Part 2 : Provenance Registering

4.1 Overview

This section adds details on how an ontology is recorded as provenance on a blockchain while being processed into meta-data by an AI service in Synesis One.

Provenance Registering occurs after a new ontology is validated and added to the Ontology Database of Synesis One. This process has two separate tracks of ontology registering:

  • Storing provenance on Solana Blockchain

  • Storing meta data (e.g., canonical) into a separate database controlled by AI companies (e.g., Mind AI)

Previous4. Ecological Flow Part 2 : Provenance RegisteringNext4.2 Architecture

Last updated 3 years ago