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PIPs/pip-44.md

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---
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pip: 44
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title: Decentralized AI Chatbot and DAO Governance for Pactus
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description: >
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Integrates a decentralized AI chatbot for wallet operations and DAO governance,
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halves validator rewards to incentivize compute contributors, and enables WASM smart contract deployment.
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author: Curtis Caudill (@cjcaudill79)
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status: Draft
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category: Core
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created: 2025-09-13
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---
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## Abstract
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Pactus's focus on accessibility, security, and sustainability via SSPoS makes it ripe for innovation.
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This proposal introduces a decentralized AI chatbot to simplify wallet operations and DAO governance,
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empowering users with natural language commands. By halving validator rewards to fund compute contributors,
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it fosters a sustainable ecosystem. A long-term goal allows developers to
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deploy WASM-based smart contracts via the chatbot, boosting dApp growth and
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positioning Pactus as a leader in AI-blockchain integration.
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## Motivation
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- Community Empowerment: A DAO aligns with Pactus's decentralized ethos, giving users a voice.
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- AI Leadership: Positions Pactus as a pioneer, attracting tech-savvy participants.
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- Adoption Growth: Simplifies interactions, potentially increasing users 2-5x.
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- Sustainability: Reward adjustments support long-term economic stability.
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## Specification
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- **Architecture**: Features a frontend AI chatbot (web/mobile with NLP, sharded LLMs like Llama),
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a decentralized compute layer (node runners contribute GPU/CPU, tracked on-chain),
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and blockchain integration (Pactus APIs, PVM).
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- **Reward Mechanism Modification**: Reduces validator rewards from 0.7 PAC/block (post-PIP-43) to 0.35 PAC/block,
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allocating 0.35 PAC/block to compute contributors, with the Foundation's 0.3 PAC/block unchanged.
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Rewards are distributed pro-rata based on FLOPs/hashrate, requiring minimal staking to prevent sybils,
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implemented via PIP and tested on testnet.
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- **Wallet Functionality**: AI enables address creation, send/receive PAC, staking,
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and balance queries using the consumptional fee model.
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- **DAO Governance**: Requires 100 PAC to propose, 10 PAC to vote, with a 1% voting cap (~420,000 PAC) per voter and
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10% staked supply quorum. The Pactus team holds veto power due to execution responsibility,
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ensuring security. DAO proposals can be made and displayed for voting through the chatbot.
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- **User Rewards**: Offers 0.001-0.01 PAC per interaction from fees/community pool, capped daily.
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## Backwards Compatibility
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Unsure
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## Test Cases
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- Test reward halving on testnet to ensure fair distribution.
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- Simulate AI-driven wallet operations and DAO voting.
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## Reference Implementation
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- **AI Chatbot Development**: Uses PyTorch/TensorFlow for federated learning, fine-tuning Llama on wallet ops,
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governance, and WASM syntax. Nodes run WASM-based inference, tracked via
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on-chain proofs (e.g., Merkle proofs of FLOPs). Integrates Pactus JS SDK and gRPC for tx submission.
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## Security Considerations
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- Risks include reward resistance and low adoption.
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- Mitigations: Gradual phasing and marketing via Pactus channels to encourage participation.
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Added for additional context - Can delete if needed (Some redundancy)
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1 Executive Summary
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As you know, Pactus’s focus on accessibility, security, and sustainability via SSPoS positions
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it for innovative advancements. This proposal introduces a decentralized AI chatbot
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and DAO governance to enhance user accessibility, streamline wallet operations, and empower
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community-driven decision-making. By halving validator rewards to incentivize compute contributors,
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we foster a sustainable ecosystem aligned with Pactus’s vision. The long-term goal
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enables developers to deploy WASM-based smart contracts via the chatbot, accelerating dApp
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growth. This PIP aims to drive adoption, boost PAC utility, and establish Pactus as a leader in
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AI-blockchain integration.
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2 Proposed Integration: Decentralized AI Chatbot and DAO
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2.1 High-Level Concept
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The initiative introduces a decentralized AI chatbot as a user-friendly interface for wallet operations
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and DAO governance via natural language (e.g., “Send 5 PAC” or “Vote on proposal
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X”). Compute is provided by node runners, incentivized through restructured rewards. The
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DAO enables PAC holders to propose and vote on upgrades, with team veto and voting caps for
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fairness.
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2.1.1 Why Beneficial
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• Community Empowerment: DAO aligns with Pactus’s decentralized ethos.
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• AI Leadership: Positions Pactus as a pioneer, attracting tech-savvy users.
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• Adoption Growth: Simplifies interactions, potentially increasing users 2–5x.
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• Sustainability: Reward changes support long-term economic stability.
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2.2 Architecture
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• Frontend AI Chatbot: Web/mobile app with NLP, built on sharded LLMs (e.g., Llama).
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• Decentralized Compute Layer: Node runners contribute GPU/CPU; contributions tracked
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on-chain.
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• Blockchain Integration: Uses Pactus APIs and PVM for rewards and governance.
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• Components:
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– Wallet Module: Address generation, transactions, staking.
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– Governance Module: Proposal creation, voting interface.
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2.2.1 Why Advantageous
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• Scalability: Distributed compute scales with network growth.
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• Security: On-chain proofs and local key management reduce risks.
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• Synergy: Integrates with decentralized storage and PVM.
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Pactus AI & DAO Proposal
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2.3 Reward Mechanism Modification
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Adjust validator rewards (0.7 PAC/block post-PIP-43) to 0.35 PAC/block for validators and
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0.35 PAC/block for compute contributors, maintaining the Foundation’s 0.3 PAC/block.
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• Distribution: Compute rewards allocated pro-rata based on FLOPs/hashrate, with minimal
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staking to prevent sybils.
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• Implementation: Propose via PIP; test on testnet.
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2.3.1 Why This is Good
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• Inclusivity: Attracts AI contributors, expanding participation.
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• Economic Balance: Extends emissions, supporting PIP-43 goals.
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• Token Utility: Ties PAC value to AI usage, boosting demand.
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2.4 Wallet Functionality
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AI enables wallet operations: address creation, send/receive PAC, staking, and balance queries,
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leveraging the consumptional fee model.
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2.4.1 Benefits
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• User-Friendly: Reduces onboarding friction, boosting retention.
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• Ecosystem Growth: Complements GUI and web wallet enhancements.
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2.5 DAO Governance
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• Mechanics: Stake 100 PAC to propose, 10 PAC to vote; voting capped at 1% of total
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supply ( 420,000 PAC) per voter; 10% staked supply quorum. Although the community
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introduces proposals, the Pactus team retains veto power, as they would be responsible
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for carrying them out, ensuring security and protocol integrity.
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• AI Role: Guides staking/voting processes.
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• Topics: Upgrades, reward changes, AI updates.
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2.5.1 Why Beneficial
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• Fairness: Voting caps prevent whale dominance.
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• Alignment: Supports on-chain governance plans.
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• Engagement: AI simplifies participation, increasing turnout.
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2.6 User Rewards
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Micro-rewards (0.001–0.01 PAC per interaction) from fees/community pool, capped daily.
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Pactus AI & DAO Proposal
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2.6.1 Advantages
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• Adoption Incentive: Increases transaction volume.
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• Token Stability: Promotes holding/staking, supporting PAC value.
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3 Long-Term Goal: Smart Contract Deployment via AI Chatbot
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3.1 High-Level Overview
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Extend the AI chatbot to allow developers to deploy WASM-based smart contracts via natural
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language, integrating with PVM to accelerate dApp development.
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3.1.1 Why Beneficial
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• Reduces development barriers.
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• Drives ecosystem growth via dApps.
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• Merges AI usability with blockchain programmability.
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3.2 Technical Explanation
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PVM supports WASM-based smart contracts.
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1. Prerequisites:
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• PVM operational.
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• Pactus SDK (JS/Python) for tx building.
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• AI fine-tuned for code parsing (e.g., via CodeBERT).
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2. User Input Processing:
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• Developer inputs: “Deploy contract: wasm code” or similar.
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• AI parses code, language, and parameters using NLP.
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3. Code Validation:
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• Syntax check with linters (e.g., wasm-lint for WASM).
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• Static analysis for vulnerabilities (e.g., custom WASM tools).
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• Simulate execution in sandbox (wasmtime for WASM).
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4. Compilation:
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• Compile to PVM bytecode (e.g., wasm-pack or Pactus-specific compiler).
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• AI handles errors, suggests fixes (e.g., missing imports).
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5. Transaction Construction:
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• Pactus AI & DAO Proposal
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• Build deployment tx via Pactus gRPC/REST API.
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• Include bytecode, ABI, constructor args; calculate fees per PIP-31.
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6. Signing and Broadcast:
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• User approves/signs via chatbot (local key management).
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• Broadcast tx to Pactus nodes.
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7. Post-Deployment:
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• Poll tx status via API; return contract address, logs.
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• AI enables interaction (e.g., “Call function X with args Y”).
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8. Decentralized Aspects:
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• Offload compilation/validation to compute contributors (e.g., via distributed WebAssembly runtimes).
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• DAO governs supported languages and tools.
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9. Security:
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• Rate limits and stake requirements (e.g., 100 PAC) for deployments.
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• AI flags risky code (e.g., reentrancy risks) for manual review or veto.
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4 Technical Implementation Details
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• AI Chatbot Development:
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– Framework: Use PyTorch/TensorFlow for federated learning, sharding LLM across
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nodes.
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– Training: Fine-tune Llama or similar on blockchain-specific tasks (wallet ops, governance,
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WASM syntax).
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– Compute Contribution: Nodes run lightweight WASM-based inference tasks;
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contributions tracked via on-chain proofs (e.g., Merkle proofs of FLOPs).
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– APIs: Integrate Pactus JS SDK for wallet/governance; gRPC for tx submission.
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## Conclusion
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This PIP leverages Pactus’s strengths to integrate a decentralized AI chatbot and DAO, enhancing
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accessibility and governance. By building on PIP-43 and planned on-chain governance, it
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ensures sustainability and positions Pactus as an AI-blockchain leader. We urge the team to
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review and advance this proposal for community discussion.

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