Hubic.ai
  • 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
      • Economic Actors & Reward Mechanics
      • Token Flow Diagram
      • Long-Term Sustainability
      • Optional Enterprise Layer
      • Security & Reputation Systems
      • Summary Table
      • Future Expansion Points
      • Final Notes
    • Program Flow Overview
      • Model Registration (One-Time)
      • Inference Request (User Job)
      • Execution Phase (Off-Chain)
      • Verification Phase
      • Rewards & Settlement
      • Optional Extensions
      • Key Takeaways
    • 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
    • GitHub
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  1. EMBARK UPON
  2. Economic Model

Future Expansion Points

PreviousSummary TableNextFinal Notes

Last updated 6 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.