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
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  1. 11. Ecosystem Element 5: Synesis Foundation

11.3 Key Value Proposition

The Foundation’s initial focus will be to attract top game studios in Korea to radically improve the UI/UX of ontology mining operations and Kanon Exchange. There will be consulting assignments, grants, scholarships, and bounties offered to attract top game designer talents.

The Synesis Foundation team believes that democratization goes hand in hand with decentralized or distributed data ownership. Towards that end, the Foundation will sponsor conferences and research into systems that make the Synesis One ecosystem more open, transparent, and democratic. The Foundation plans to work with leading universities, institutes, and non-profits.

Through bounty programs, the Synesis Foundation will incentivize the collection of ontologies or the creation of dApps that have a positive impact on supporting diversity in knowledge and language. For example, a bounty might be created to encourage the creation of ontologies focused on education, decoding text-chat conversations to help teachers better understand their students’ struggles across all subject areas in real time. The Synesis Foundation will also reach out to organizations directly when access to AI resources can help solve problems for humanity.

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Last updated 3 years ago