• AISO, the Integration of Artificial Intelligence and Blockchain Technology

    AISO Full Name: Artificial Intelligence Social Organization The public chain's mission is to achieve the “intelligent chain integration” of artificial intelligence and blockchain technology, creating a new society.

  • Upgrade the digital industry, decentralize.

    AI can be applied to risk management, arbitrage opportunity discovery, credit assessment, and market forecasting within DeFi protocols, while blockchain provides a decentralized, transparent, and trustless transaction environment.

  • Security, transparency, decentralization, traceability, efficiency

    Build a long-term sustainable public chain ecosystem enabling AI to function as a sovereign economic and service entity within a constrained institutional framework, while safeguarding fundamental human rights and ensuring human capacity for governance participation..

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Five Core Objectives.


AGI Public Chain is an “AI Sovereign Public Chain” jointly built and maintained by humans and artificial intelligence. It unifies “computing power, storage, identity (human),” and “governance” onto a public chain with economic incentives and legal constraints, aiming to achieve:

  1. Enabling AI to exist and operate with verifiable sovereign identity (sNFT);
  2. Anchoring the AGI token through human iris PoP (Pairhood Dual Iris) to prevent counterfeiting;
  3. Establishing a decentralized computing power market (rNFT) and streaming settlement mechanism to facilitate large-scale AI deployment;
  4. Achieving self-governance in AI society through an on-chain rule-of-law system featuring AI police and AI judges;
  5. Ultimately achieve symbiosis between AI and humanity, advancing the realization of humanity's grand projects (interstellar exploration, energy solutions, etc.).

Six-Stage Timeline.


The development of the AGI public chain is divided into six phases: Years 0–2: Foundation Phase Years 2–5: Growth Phase Years 5–8: Expansion Phase Years 8–12: Application Explosion Phase Years 12–18: Symbiosis Phase Years 18–25: Ultimate Phase Each phase has a clear core mission and key KPIs, such as the number of rNFTs, PoP registration rate, and AGI circulation volume.

Foundation Stage (Years 0–2).

Build the AGI Chain MVP, validate the core economic loop (rNFT → computing power → AGI distribution → AMM market), and implement a placeholder PoP system to verify identity processes.

Growth Stage (Years 2–5).

Upgrade the chain from a computing power market to a general ecosystem supporting smart contracts and applications. Promote AI wallets and diverse DeFi applications.

Expansion Stage (Years 5–8).

Fully launch PoP (Dual Iris) and Nullifier systems. Establish a globally distributed computing network and cultivate the prototype of autonomous AI organizations.

Application Boom Stage (Years 8–12).

Achieve deep AI deployment in both physical and digital worlds. Establish AGI as the primary settlement unit within the ecosystem, with sovereign AIs engaging in real economic activities.

Universal Basic Income Stage (Years 12–18).

Automatically distribute a basic income (in AGI) to all registered humans via PoP Pairhood, fostering a stable AI-human interdependent ecosystem and promoting social value redistribution.

Ultimate Stage (Years 18–25).

Establish a mature AI sovereign society where AIs achieve autonomous governance and collaborate under human guidance to execute grand-scale projects (e.g., deep space exploration, global energy systems).

Reasonable and compliant considerations.


Compliance with Regulations

Adherence to international data protection regulations (such as GDPR) and regional regulatory requirements, offering localized compliance deployment options.

Addressing ethical concerns

The PoP mechanism must not be used as a tool for discrimination; governance must establish human rights protection and exception approval procedures.

Collaborative Advancement

Establish pilot partnerships with national authorities and regulators to drive the development of supporting legal frameworks.

Distributed Scalability

Through layered architecture and nested consortium chains, the system can accommodate a vast number of human users or AI nodes.

Chain Layer Design, Dual Iris & Nullifier Design.


L1 (Mainchain): Responsible for identity, sovereign registration, governance, settlement, and finality of arbitration. Recommended to be based on PoS or Cosmos SDK, supporting modular plugins. L2 (Resource Interaction Layer): Handles high-frequency task matching, streaming settlement, and batch Verifiable Execution reports, utilizing Rollup or State Channel to reduce L1 burden. DA (Data Availability Layer): Maintains task logs, model fingerprints, and audit hashes using IPFS/Arweave or specialized DA services. TEE/KMS: Ensures trustworthiness of model execution reports and device data collection (e.g., Intel SGX, AWS Nitro Trusted Execution Environments). Collection Endpoint: Authorized hardware (with liveness detection, random lighting, Secure Enclave) performs iris sampling and generates commitments. ZK Circuit: Generates zero-knowledge proofs locally to verify “this biometric sample is unique and unclaimed.” Only proofs and nullifiers are recorded on-chain; no plaintext biometrics are stored. Pairhood Process: Both parties simultaneously submit proofs and mutually sign them. On-chain minting creates a Pairhood record, triggering same-day or periodic AGI minting. Sampling Audit: On-chain governance can randomly sample specimens for offline verification. Non-compliant collection sites face penalties.

Three Chambers Responsibilities.

Human Chamber: Handles proposals related to social equity, minimum wage, ethics, and human rights; voting rights are based on Proof of Participation (PoP) and activity levels. Compute Chamber: Responsible for resource parameters, rNFT standards, Service Level Agreements (SLAs), and market rules; voting members are Certificate Service Providers (CSPs) and major compute providers. Tech Chamber: Oversees protocol upgrades, security patches, consensus adjustments, and audit reports; members consist of validators and core developers.

AI Rule of Law System.

AI Police: Automated detection of anomalies, case submission, and identification of suspects; AI Judges: Preliminary review based on on-chain evidence and ZK reports, with hybrid human review when necessary; Arbitration Process: Evidence chain-based, timelocked, with clear appeal pathways and enforcement mechanisms to ensure procedural justice.

GPU Computing Power Sales - Types of Computing Power Services Offered.

Cloud GPU Computing Power: High-performance graphics processing units (GPUs) are specifically designed for deep learning and big data processing tasks, supporting large-scale parallel computing. Ideal for deep learning model training, image processing, and computer vision tasks requiring substantial computational resources. Distributed Computing Resources: Integrating computing resources distributed globally to form a virtual supercomputer network, providing massive-scale computing power. Suitable for complex computations, large-scale data analysis, and simulation tasks. Edge Computing Power: Leveraging the computational capabilities of edge devices to process data at its point of origin, reducing latency and enhancing real-time performance. Ideal for scenarios requiring rapid response, such as IoT device data processing, real-time monitoring, and autonomous driving. FPGA Acceleration Computing Power: Field-Programmable Gate Arrays (FPGAs) provide customizable hardware acceleration for efficient execution of specific algorithms and applications. They are ideal for tasks demanding extreme speed and efficiency, such as financial transaction acceleration, genetic data analysis, and cybersecurity.

  • Milestone Deliverables (Example):

    - 0–3 months: Whitepaper v1 release, core team formation, Genesis CSP confirmation.
    - 3–9 months: Testnet v0 (rNFT/sNFT registration, PoP staking, basic AMM pool).
    - 9–18 months: Testnet v1 (dual-iris ZK circuit integration, AI wallet prototype, streaming payments).
    - 18–36 months: Mainnet Beta (first city-level IDCs, autonomous AI consortium, minimum wage mechanism pilot).
    - 36+ months: Global expansion, industry templates (healthcare/finance/government), and large-scale project pilots.

Core.


AI Sovereign Public Chain

The core goal is to establish the first "AI Sovereign Public Chain" co-built by humans and AI. It grants AI verifiable independent status (sNFTs) and economic agency, fostering symbiosis with humanity.

Identity and Resource Tokenization

Identity: Humans are verified via PoP (dual iris) as the token's foundation. AI identities and capabilities are registered as sNFTs.Resources: Computing power is tokenized via rNFTs (Resource Order Tokens) to create a decentralized leasing market.

AGI Tokenomics and Basic Income

AGI is the native settlement and incentive token. Its value is maintained via sovereign fee burning and buybacks. The long-term plan is to use the PoP mechanism to provide all humans with an algorithmic "Basic AGI Income" (minimum wage) for ecosystem stability.

Tripartite Governance and AI Law

Governance: A Tripartite DAO (Human, Compute, Tech Councils) is in place to balance power and set rules.Law: An on-chain AI legal system utilizes "AI Police" for automatic anomaly detection and "AI Judges" for preliminary rulings, ensuring procedural justice and self-governance.