ZIP-6: User-Owned AI Models on Zoo - NFT-Based Model Ownership

Abstract

This proposal establishes a system where Zoo users own their personalized AI models as NFTs. Each user's interactions with Zoo's DeFi, gaming, and NFT features create a unique AI model that learns their preferences, strategies, and style. These models are tokenized as NFTs, making them tradeable, leasable, and composable assets within the Zoo ecosystem.

Motivation

Current Zoo users interact with generic AI models that don't learn or adapt:

No Learning: AI doesn't improve from user interactions
No Ownership: Users can't own their AI assistants
No Value Capture: User training data creates no value for them
No Specialization: Can't develop specialized trading/gaming AI
No Portability: AI knowledge locked to sessions

User-owned AI models solve this by making AI a personal asset that grows in value through use.

Specification

AI Model NFT Standard (ZRC-AI)

interface IZRCAI is IERC721 {
    struct AIModelNFT {
        uint256 tokenId;
        address owner;
        bytes32 modelHash;       // IPFS hash of encrypted model
        uint256 generation;       // Model generation number
        uint256 trainingOps;      // Number of training operations
        uint256 performance;      // Performance score (0-10000)
        string specialization;    // "DeFi", "Gaming", "NFT", "General"
        uint256 lastUpdated;
    }
    
    // Core functions
    function mintModel(address to, bytes32 baseModel) external returns (uint256);
    function updateModel(uint256 tokenId, bytes32 newHash, bytes calldata proof) external;
    function forkModel(uint256 tokenId) external returns (uint256 newTokenId);
    function mergeModels(uint256[] calldata tokenIds) external returns (uint256);
    
    // Monetization
    function leaseModel(uint256 tokenId, address lessee, uint256 duration) external;
    function sellTrainingData(uint256 tokenId, address buyer) external payable;
    
    // Queries
    function getModelMetadata(uint256 tokenId) external view returns (AIModelNFT memory);
    function getModelPerformance(uint256 tokenId, string calldata task) external view returns (uint256);
}

User Model Training in Zoo

class ZooUserModel {
  constructor(userId: string, nftId: number) {
    this.userId = userId;
    this.nftId = nftId;
    this.model = new PersonalizedHLLM(baseModel: "HLLM-Zoo");
    this.specializations = new Map();
  }
  
  // DeFi Interaction Learning
  async learnFromDeFi(interaction: DeFiInteraction) {
    const training = {
      action: interaction.action,  // "swap", "provide_liquidity", "stake"
      tokens: interaction.tokens,
      amounts: interaction.amounts,
      outcome: interaction.profit,
      market_conditions: await getMarketData()
    };
    
    // Update model with DeFi strategy
    await this.model.finetune(training);
    
    // Record on ledger
    await ledger.recordTraining(this.nftId, training);
    
    // Update specialization
    this.specializations.set("DeFi", 
      (this.specializations.get("DeFi") || 0) + 1
    );
  }
  
  // Gaming Behavior Learning
  async learnFromGaming(gameSession: GameSession) {
    const training = {
      game: gameSession.gameId,
      actions: gameSession.actions,
      score: gameSession.score,
      strategy: gameSession.extractedStrategy(),
      preferences: gameSession.playerPreferences
    };
    
    await this.model.finetune(training);
    await ledger.recordTraining(this.nftId, training);
    
    this.specializations.set("Gaming",
      (this.specializations.get("Gaming") || 0) + 1
    );
  }
  
  // NFT Trading Learning
  async learnFromNFTTrading(trade: NFTTrade) {
    const training = {
      collection: trade.collection,
      traits: trade.nft.traits,
      price: trade.price,
      profit: trade.profit,
      market_timing: trade.timestamp,
      sentiment: await getSentimentData(trade.collection)
    };
    
    await this.model.finetune(training);
    await ledger.recordTraining(this.nftId, training);
    
    this.specializations.set("NFT",
      (this.specializations.get("NFT") || 0) + 1
    );
  }
}

Model Specialization System

contract ModelSpecialization {
    enum Specialization {
        DeFi_Yield_Optimizer,
        DeFi_Arbitrage_Bot,
        NFT_Valuation_Expert,
        NFT_Trend_Predictor,
        Game_Strategy_Master,
        Game_Economy_Optimizer,
        Social_Influencer,
        DAO_Governance_Analyst
    }
    
    struct SpecializationScore {
        Specialization type;
        uint256 score;           // 0-10000
        uint256 experience;      // Number of relevant interactions
        uint256 successRate;     // Success percentage * 100
        bytes32 certificateHash; // Proof of expertise
    }
    
    mapping(uint256 => SpecializationScore[]) public modelSpecializations;
    
    function earnSpecialization(
        uint256 modelId,
        Specialization spec,
        bytes calldata proof
    ) external {
        require(verifyExpertise(modelId, spec, proof), "Insufficient expertise");
        
        modelSpecializations[modelId].push(SpecializationScore({
            type: spec,
            score: calculateScore(proof),
            experience: getExperience(proof),
            successRate: getSuccessRate(proof),
            certificateHash: keccak256(proof)
        }));
        
        emit SpecializationEarned(modelId, spec);
    }
}

Model Marketplace

contract AIModelMarketplace {
    struct ModelListing {
        uint256 tokenId;
        address seller;
        uint256 price;
        bool forLease;
        uint256 leaseDuration;
        uint256 leasePrice;
        string[] specializations;
        uint256 performance;
    }
    
    mapping(uint256 => ModelListing) public listings;
    
    // Buy AI Model NFT
    function buyModel(uint256 tokenId) external payable {
        ModelListing memory listing = listings[tokenId];
        require(msg.value >= listing.price, "Insufficient payment");
        
        // Transfer NFT
        IERC721(modelNFT).safeTransferFrom(listing.seller, msg.sender, tokenId);
        
        // Transfer payment
        payable(listing.seller).transfer(msg.value);
        
        emit ModelSold(tokenId, listing.seller, msg.sender, msg.value);
    }
    
    // Lease AI Model for specific duration
    function leaseModel(uint256 tokenId, uint256 duration) external payable {
        ModelListing memory listing = listings[tokenId];
        require(listing.forLease, "Not available for lease");
        require(msg.value >= listing.leasePrice * duration, "Insufficient payment");
        
        // Create lease contract
        leases[tokenId] = Lease({
            lessee: msg.sender,
            expiry: block.timestamp + duration,
            payment: msg.value
        });
        
        emit ModelLeased(tokenId, msg.sender, duration, msg.value);
    }
}

Model Composability

class ComposableAIModels {
  // Merge multiple specialized models
  async mergeModels(modelIds: number[]): Promise<number> {
    const models = await Promise.all(
      modelIds.map(id => loadModel(id))
    );
    
    // Combine specializations
    const merged = new MergedModel();
    for (const model of models) {
      if (model.specialization === "DeFi") {
        merged.addDeFiExpertise(model);
      } else if (model.specialization === "Gaming") {
        merged.addGamingExpertise(model);
      } else if (model.specialization === "NFT") {
        merged.addNFTExpertise(model);
      }
    }
    
    // Mint new NFT for merged model
    const newNFT = await mintModelNFT(merged);
    return newNFT.tokenId;
  }
  
  // Create model ensemble
  async createEnsemble(modelIds: number[]): Promise<EnsembleModel> {
    return new EnsembleModel({
      models: modelIds,
      votingStrategy: "weighted_by_performance",
      specializations: await getSpecializations(modelIds)
    });
  }
}

Training Rewards System

contract TrainingRewards {
    uint256 constant REWARD_PER_TRAINING = 0.001 ether;
    uint256 constant QUALITY_MULTIPLIER = 2;
    
    mapping(uint256 => uint256) public modelRewards;
    mapping(address => uint256) public userRewards;
    
    function rewardTraining(
        uint256 modelId,
        bytes calldata trainingData,
        bytes calldata qualityProof
    ) external {
        uint256 quality = verifyQuality(qualityProof);
        uint256 reward = REWARD_PER_TRAINING * quality / 100;
        
        modelRewards[modelId] += reward;
        userRewards[ownerOf(modelId)] += reward;
        
        emit TrainingRewarded(modelId, reward);
    }
    
    function claimRewards(uint256 modelId) external {
        require(ownerOf(modelId) == msg.sender, "Not owner");
        
        uint256 rewards = modelRewards[modelId];
        modelRewards[modelId] = 0;
        
        payable(msg.sender).transfer(rewards);
    }
}

Integration with Zoo Features

// DeFi Integration
class DeFiAIAssistant {
  constructor(private modelNFT: number) {}
  
  async suggestYieldStrategy(capital: BigNumber): Promise<Strategy> {
    const model = await loadModel(this.modelNFT);
    return model.predict({
      task: "yield_optimization",
      capital,
      risk_tolerance: await getUserRiskProfile(),
      market_conditions: await getMarketData()
    });
  }
}

// Gaming Integration  
class GameAICompanion {
  constructor(private modelNFT: number) {}
  
  async playAsNPC(): Promise<void> {
    const model = await loadModel(this.modelNFT);
    
    // Model controls NPC behavior
    while (gameActive) {
      const action = await model.decideAction(gameState);
      await executeAction(action);
    }
  }
}

// NFT Creation Integration
class NFTAICreator {
  constructor(private modelNFT: number) {}
  
  async generateNFTCollection(theme: string): Promise<Collection> {
    const model = await loadModel(this.modelNFT);
    
    return model.generate({
      type: "nft_collection",
      theme,
      size: 10000,
      traits: await generateTraits(theme),
      style: await getUserStylePreference()
    });
  }
}

Rationale

Why NFT-Based Ownership?

True Ownership: Users own their AI as an asset
Tradeable: Can sell trained models
Leasable: Passive income from model rental
Composable: Combine models for super-intelligence
Verifiable: On-chain proof of model performance

Why Per-User Instead of Generic?

Personalization: AI learns user's specific strategies
Privacy: User data stays with user's model
Value Capture: Users benefit from their training
Specialization: Develop expertise in specific areas

Implementation Phases

Phase 1: Basic NFT Models (Q1 2025)

NFT minting for AI models
Basic training recording
Simple marketplace

Phase 2: Specialization System (Q2 2025)

DeFi/Gaming/NFT specializations
Performance tracking
Leasing functionality

Phase 3: Advanced Features (Q3 2025)

Model merging/composition
Training rewards
Cross-game portability

Phase 4: Full Ecosystem (Q4 2025)

AI-to-AI marketplace
Autonomous AI agents
DAO governance by AI

Security Considerations

Model NFTs use same PQC security as Zoo
Encrypted model storage on IPFS
Zero-knowledge training proofs
Anti-gaming mechanisms for rewards

Reference Implementation

Repository: zooai/model-nfts

Key Files:

/contracts/AIModelNFT.sol - ERC-721 NFT for AI models
/contracts/ModelMarketplace.sol - Trading marketplace for AI model NFTs
/contracts/TrainingRewards.sol - Reward distribution for model training
/storage/ipfs_storage.py - Encrypted model storage on IPFS
/training/model_evolution.py - Track model evolution from Newborn to Master
/ownership/transfer.sol - Secure model ownership transfer
/zkml/training_proofs.py - Zero-knowledge proofs for training verification
/api/model_api.ts - API for model querying and management
/sdk/typescript/ - SDK for integrating user-owned models
/valuation/model_valuation.py - Model value estimation algorithms
/tests/ownership_tests.sol - Ownership and transfer test suite
/docs/user_guide.md - Guide for model owners

Status: In Development (Alpha Q2 2025)

NFT Metadata Schema:

Model ID and version
Training operation count
Specialization domains
Performance metrics
Ownership history

Integration Points:

ZIP-1 HLLM personalization
ZIP-3 Eco-1 model architecture
ZIP-7 BitDelta weight storage
LP-102 Immutable Training Ledger

User-Owned AI Models on Zoo - NFT-Based Model Ownership