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. 6. Ecological Flow Part 4: Primitive Monetizing

6.5 Potential DeFi Applications

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Last updated 3 years ago

Application #1: Leveraging unique Volatility Variance

One of the most interesting aspects of Kanon could be its volatility variance due to its recurring and claimable rewards based on AI data usage and composability. Let’s suppose that an on-chain derivative trader is trying to hedge their position with a DeFi asset with an opposite volatility variance profile. Because Kanon is a keyword with an expected claimable residual reward, we can analyze hundreds of thousands of Kanons with different price movement profiles. This will allow custom tailoring of an individual or a basket of unique Kanons that can collectively create the desirable volatility variance profile for a trade. Because of its granularity and diversity, the sheer number of circulating Kanons, and their market price, connected to the digital human knowledge compendia, can create diverse sets of financial instruments. This provides an alternative to most DeFi assets which are highly correlated without adding high transaction cost.

CVI Finance is an early example of how on-chain volatility trading is now a reality in DeFi.

Application #2: Monetizing a Sentiment.

Another example is that many semantically similar Kanons could be aggregated, put into a DeFi index, and added as a collateral to acquire stable tokens for yield farming. These similar keywords can represent a certain sentiment or mood at a given time or season, and we can now monetize collective moods or sentiments in our society in a way that was previously unimaginable.

Figure 22: Trading screen of CVI Finance as of July 2021