Hubic
  • Hubic AI
  • EMBARK UPON
    • Introduction
      • Proof-of-Inference (PoI)
      • Proof-of-Weights (PoWg)
      • Why Hubic?
      • Main Actors and Their Roles
      • Architecture Overview
      • Use Case Examples
      • Hubic AI Hub – Model Registry
      • RWA Integration
  • Registry & System Architecture
    • Sovereign AI Agents (On-chain AI Logic Executors)
    • Liquid Strategy Engine (LSE)
    • Proof-of-Weights (PoW2)
    • Governance System
    • Hubic Intelligence Hub (Expanded)
    • Visual System Map
  • Economic Model
    • HUB Token Utility
    • Token Flow Diagram
    • Long-Term Sustainability
    • Optional Enterprise Layer
    • Security & Reputation Systems
    • Future Expansion Points
    • Final Notes
  • Real-World Use Case Example
    • Introduction
    • Problem Statement
    • System Actors
    • End-to-End Flow: DAO Delegation Automation
    • Benefits to DAO Operations
    • Extensions & Advanced Use
  • HUBIC ECONOMIC ENGINE
    • Tokenomics
    • Roadmap
  • LINKS
    • Website
    • Twitter
    • Telegram
Powered by GitBook
On this page
  1. Economic Model

Future Expansion Points

PreviousSecurity & Reputation SystemsNextFinal Notes

Last updated 4 days ago

To evolve into a fully composable zkML + RWA infrastructure layer for Ethereum, Hubic’s roadmap includes several protocol-level enhancements designed to increase network utility, governance resilience, and real-world integration.

1. 🔄 Multi-Token Payment Support

  • Enable inference fees to be paid in stablecoins like USDC, DAI, or even wrapped ETH.

  • Smart contract router handles conversion and distribution.

  • Reduces friction for institutions and DAOs operating with non-native assets.

2. 🏅 zk-Reputation NFTs

  • Non-transferable NFTs representing provable service history:

    • High-accuracy executors

    • Trusted validators

    • Consistently monetized models

  • Usable as on-chain credentials or role badges in governance or B2B access systems.

3. 🧠 Treasury-Governed Model Onboarding

  • For sensitive, high-impact, or RWA-linked models, onboarding could require DAO or treasury curation.

  • Governance filters include:

    • Usage volume

    • Inference accuracy

    • Reputation metrics

    • Potential financial exposure (e.g. insurance pricing, trading)

4. ⚖️ zkML-Governed Voting Weights

  • Voting weight influenced by verifiable contribution metrics:

    • Proof accuracy

    • Volume of inferences executed or validated

    • Yield impact of deployed strategies

  • Enables a shift from "token-only governance" to performance-aware voting.

5. 🌍 RWA-Specific Modules

  • Bonding Curves for RWA Tokens: Dynamic pricing of access to high-performing models.

  • RWA Vaults: Smart contracts that collect and distribute revenue based on model usage.

  • Tokenized Licensing: Limited-time or usage-based access to proprietary AI via NFT issuance.

  • Legal Oracles: Integrate proof-backed execution logs with real-world audit/reporting frameworks.

These expansion points aim to position Hubic as the governance-ready, monetization-focused zkML backbone of Ethereum, with long-term sustainability and real-world compatibility embedded at the core.