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"FugaBridge: Decentralized Human Incentives for Bittensor Validators".

🦞 FugaBridge: Camada de Incentivo Descentralizada para Bittensor "Empoderando Validadores do Bittensor com Inteligência Humana em Tempo Real através de Micro-Recompensas em L2."

視頻

專案圖片 1
專案圖片 2
專案圖片 3

技術堆疊

Web3
Node
Java
Ethers
Python
React
Next
Go

描述

FugaBridge is a cross-chain infrastructure connecting Bittensor Subnets with Arbitrum L2 to enable real-time human-in-the-loop RLHF. Using an autonomous AI agent (FugaClaw), it orchestrates evaluation quests via messaging and triggers instant on-chain micro-rewards for miners. It establishes a verifiable, incentivized human intelligence layer, bridging the gap between decentralized AI models and high-fidelity human feedback.

黑客松進展

Progress During Hackathon (Resumo do Progresso)

1. Infrastructure & Smart Contracts:

  • Designed and deployed the ArbitrumBridgeHandler smart contract on Arbitrum Sepolia to enable efficient micro-reward distribution for Bittensor miners.

  • Successfully mapped Bittensor Coldkeys to L2 Wallets for precise reward attribution.

2. AI Agent Orchestration (FugaClaw):

  • Developed a specialized RLHF Skill for the FugaClaw agent (OpenClaw framework), enabling autonomous delivery of evaluation quests via real-time messaging (WhatsApp).

  • Implemented a local Bridge API server (Node.js/Express) to handle the secure communication between the AI agent and the blockchain.

3. Professional Validator Interface:

  • Built a custom, dark-mode Validator Dashboard from scratch using HTML5, CSS3, and JavaScript, featuring real-time ranking charts and live transaction tracking.

  • Integrated a secondary "Research & Vision" layer showcasing the long-term protocol roadmap (PoHC & ZK-Privacy).

4. Interactive Presentation Tech:

  • Developed a cinematic Technical Pitch WebApp (

    pitch.html) to demonstrate the project's features and technical depth in a dynamic, high-fidelity environment.

5. Testing & Validation:

  • Completed 15+ end-to-end test cycles (Testnet), verifying that human feedback correctly triggers the bridge contract and updates the dashboard in under 10 seconds.

籌資狀態

"The project is currently bootstrapped and developed during the Bittensor Subnet Ideathon Round 2. We are currently seeking ecosystem grants from Bittensor and Arbitrum to accelerate the transition from Testnet to Mainnet and to implement advanced features like Zero-Knowledge Proofs for RLHF privacy."

團隊負責人
JJanio Gomes Ribeiro
專案連結
部署生態系
Arbitrum OneArbitrum One
行業
AIInfraDAORWA