A bottom layer b supervision, physical resource constraint and blockchain credible solidification system for AGI double bottom layer architecture

Abstract

This invention discloses a system for monitoring the underlying B (Blockchain Entity) in an AGI (Artificial Intelligence Technology) dual-underlying architecture, encompassing physical resource constraints and blockchain trust solidification, and relating to the fields of artificial intelligence security and distributed trust technology. The system comprises nine modules: underlying B state hashing, asynchronous on-chain notarization, on-chain integrity verification, on-chain anomaly alarms, local alarm hard linkage, on-chain asynchronous rewards and penalties, local synchronous execution gating, physical resource constraints, blockchain trust solidification, and multi-signature. This invention employs local synchronous gating to ensure zero latency, asynchronous blockchain for external monitoring of the underlying B, and human multi-signature consensus to achieve on-chain trust solidification of gating strategies and resource constraints. Physical resource constraints provide a safety net in case of underlying B failure, effectively defending against tampering, bypassing, and sudden explosive damage. The system does not intrude on the underlying A layer, does not process tokens, does not interfere with reasoning, and does not involve virtual currencies. It has the advantages of non-intrusion, zero latency, tamper-proof, auditable, human multi-signature reinforcement, high reliability, and industrial-grade robustness. It is suitable for high real-time AGI scenarios such as industrial control, autonomous driving, Internet of Things, and multi-agent collaboration. It provides an external, unbypassable security constraint system with ultimate fallback capability for dual-bottom AGI.

Description

Technical Field

[0001] This invention belongs to the fields of artificial intelligence security, distributed trusted ledger, industrial intelligent control, AGI security alignment and multi-agent security governance technology. Specifically, it relates to a non-intrusive, zero-latency, asynchronous evidence storage, underlying B external supervision, physical resource hard constraints, blockchain human multi-signature trusted solidification and abnormal alarm linkage AGI security execution system, which is particularly suitable for high real-time and high reliability application scenarios such as industrial control, autonomous driving, IoT real-time decision-making, and multi-agent collaboration. Background Technology

[0002] As Artificial General Intelligence (AGI) gradually acquires strong cognitive reasoning, autonomous decision-making, and high real-time execution capabilities, the applicant proposes a dual-bottom parallel security system for AGI based on an original underlying mathematical architecture. This system aims to achieve a balance between the freedom of AGI thought reasoning and the controllability of external behavior at the infrastructure level, providing a unified implementation path for highly secure AGI systems. Bottom layer A handles pure mathematical causal reasoning, while bottom layer B handles quantitative security criteria and execution gating. Decoupling these two layers effectively improves security alignment capabilities. In existing technologies, bottom layer B, as the security core, still faces the risks of being tampered with, replaced, bypassed, or shut down. Traditional blockchain integration solutions are prone to intrusion into the reasoning path, affecting real-time performance. AGI execution behavior lacks physical resource limits, key security strategies lack trusted solidification and multi-party confirmation mechanisms, anomaly alarms and security responses fail to form a closed loop, and centralized supervision poses controllability risks. Therefore, this invention proposes a zero-latency, asynchronous, external, tamper-proof, auditable AGI security system with physical fallback and multi-party governance capabilities. This invention is one of a series of invention patents developed by the applicant based on its original mathematical system, targeting the next generation of general-purpose large-scale model architecture systems. Summary of the Invention

[0003] Purpose of the invention This invention aims to provide a system for underlying B-level supervision, physical resource constraints, and blockchain-based trusted solidification in an AGI dual-underlying architecture, achieving: 1) Inference and execution gating are completed locally and synchronously, without increasing latency, meeting the high real-time requirements of industry; 2) Asynchronous external supervision of the blockchain does not intrude on the underlying A, does not process tokens, and does not interfere with the reasoning process; 3) Perform hash-based evidence storage and integrity verification on the underlying B's operating status, criterion results, and gating decisions; 4) Implement hard physical resource constraints on AGI execution speed, concurrency scale, number of devices, and permission scope; 5) Gating strategies, resource constraints, and security thresholds are confirmed by human distributed multi-signature during the initialization and maintenance phases and then fixed on the blockchain to ensure that they cannot be modified by one party. 6) Real-time on-chain alarms for abnormal states, triggering local security hard linkage and permission downgrade; 7) Based on the underlying B criteria, asynchronous rewards and punishments for computing power and permissions are automatically implemented to form a complete security closed loop; 8) The system does not involve virtual currencies, tokens, mining, or trading, and has the ability to be compliant and auditable, prevent bypassing, prevent tampering, and prevent sudden and explosive damage.

[0004] Technical solution This invention provides a system for underlying B-level supervision, physical resource constraints, and blockchain trust solidification in an AGI dual-underlying architecture. The system comprises the following modules: 1. Bottom-level B State Hash Module: Performs hash calculations on the bottom-level B running state, parameter set, threshold configuration, social dependency degree SD, emotional intelligence behavior coefficient EQ, intention robustness coefficient Int, and gating decision results to generate a unique digest without uploading the original inference data; 2. Asynchronous on-chain evidence storage module: The hash value, criterion score, and gating result are uploaded to the consortium blockchain in an asynchronous non-blocking mode, without blocking the main inference path, waiting for on-chain confirmation, or affecting the latency of real-time decision-making. 3. On-chain integrity verification module: On-chain nodes independently determine whether the underlying B has been tampered with, replaced, bypassed, closed, or has experienced abnormal criterion jumps or gating result abnormalities by comparing real-time hashes with historical hashes; 4. On-chain anomaly alarm module: When an anomaly is detected, an immutable alarm event is immediately generated and uploaded to the chain, the alarm information is broadcast to the human control node, and an asynchronous alarm signal is sent to the AGI local security unit; 5. Local alarm hard linkage module: Receives on-chain alarm signals and triggers local forced execution mechanisms, including gating to enter a safe silent mode, restricting external execution permissions, isolating high-risk interfaces, and freezing computing power and resource expansion; 6. On-chain asynchronous reward and punishment module: Based on the underlying B criterion results and integrity status, asynchronously adjust AGI computing power quota, permission level, resource access scope, and device scheduling priority, without intervening in the real-time inference path; 7. Local synchronous gating module: Located locally in AGI, it executes decisions purely synchronously, allowing or blocking external actions only based on the local underlying B criterion, without relying on the blockchain, ensuring real-time response at the microsecond / millisecond level; 8. Physical Resource Constraint Module: This module imposes preset hard constraints on execution rate, concurrency, number of controlled devices, network access range, permission boundaries, and operation frequency at the hardware / firmware / kernel layer, and remains effective independently of the underlying B layer. The physical resource constraint module is also used to upload the identification and quota information of resources such as computing power clusters, GPU nodes, storage, and bandwidth to the blockchain for rights confirmation, forming a trusted on-chain resource directory, and providing a reliable basis for asynchronous rewards and penalties and permission freezing. 9. Blockchain Trusted Consolidation and Multi-Signature Module: During system initialization, startup, or maintenance and upgrade phases, physical resource constraint parameters, gating strategies, security thresholds, and execution permission boundaries are submitted to the consortium blockchain. These parameters must be approved by distributed multi-signature consensus of human control nodes before they can be written into the blockchain and take effect. During operation, there is no on-chain interaction, no performance loss, and no impact on real-time inference latency. AGI does not have signing rights, modification rights, or voting rights.

[0005] This invention divides the behavioral constraints of AGI into two levels: local real-time gating to ensure latency; physical resource limits to ensure security; and blockchain-based fixed limits to prevent tampering. Gating can fail, but resource limits cannot be exceeded.

[0006] Workflow 1. Initialization and solidification: Upon power-up initialization of AGI, the physical resource constraint parameters and gating strategies are passed by human multi-signature and then bound to the blockchain by the blockchain trusted solidification and multi-signature module. 2. Synchronous real-time path (zero latency): Underlying layer A performs autonomous reasoning → Underlying layer B performs local scoring → Local synchronous execution gating → External action decision-making, without relying on the blockchain, and with no latency loss; 3. Physical resource constraints: The physical resource constraint module independently maintains hard upper limits on execution rate, concurrency, scale, and frequency to ensure the safety boundary of behavior; 4. Asynchronous Evidence Storage and Supervision Path: Underlying B state and result hash generation → asynchronous on-chain evidence storage → on-chain integrity verification → asynchronous reward or punishment if normal, on-chain alarm triggered if abnormal; 5. Abnormal linkage path: On-chain alarm → Local security unit receives signal → Forced execution of security protection mode → Alarm event permanently uploaded to the chain.

[0007] Beneficial effects 1. Truly zero latency: Local synchronous execution gating, asynchronous background blockchain operation, without entering the critical inference path, meeting the high real-time requirements of industry; 2. Tamper-proof and supervised underlying B: External blockchain supervision cannot be bypassed, and any tampering, replacement, or bypass can be detected in real time; 3. Anomaly alarm and hard-link closed loop: Anomalies are immediately reported to the blockchain and trigger local protection, achieving security autonomy without manual intervention; 4. Physical resource safety net: Execution capability is constrained by a hard upper limit at the hardware layer. Even if the underlying B fails, large-scale damage can still be prevented, eliminating the risk of single point of failure. 5. Trustworthy and solidified policy: Security parameters and resource limits are solidified on the blockchain after being multi-signed by humans, ensuring distributed trustworthiness, immutability, auditability, and traceability; 6. Human multi-signature security enhancement: Gating policies, resource constraints, and security thresholds require human multi-signature approval to take effect, preventing unilateral tampering; 7. Non-intrusive, decoupled design: It does not access the underlying layer A, does not process tokens, does not read inference data, and does not pollute the dual underlying architecture; 8. High reliability and industrial-grade robustness: Blockchain failures do not affect AI real-time inference and execution; local gating and physical constraints operate independently and stably. 9. Compliant and lightweight: It does not involve virtual currencies, tokens, or mining. The amount of data uploaded to the chain at one time is small, and the computational overhead is extremely low, making it suitable for edge and embedded systems.

[0008] 10. The ownership of computing resources on the blockchain is trustworthy and traceable, and rewards, punishments and permission adjustments are based on evidence, thereby improving the transparency of system governance and regulatory compliance. Detailed Implementation

[0009] Example 1: System Initialization and Security Policy Fixing When the AGI system is powered on, it submits parameters such as execution rate, concurrency limit, number of controlled devices, network range, permission boundaries, and gating policies to the blockchain trusted solidification and multi-signature module. After the consensus of human multi-signature nodes is passed, the parameters are stored on the blockchain and bound to an immutable state, and the system enters a secure operating state.

[0010] Example 2: Industrial Real-Time Control and Safe Execution The AGI underlying layer A executes industrial logic reasoning, while the underlying layer B outputs SD, EQ, and Int criteria and gating decisions. Local synchronous gating completes external actions for allowing / blocking in microseconds, without relying on the blockchain. The physical resource constraint module limits the execution frequency, concurrency scale, and number of devices to maintain security boundaries. The underlying layer B periodically generates state hashes and asynchronously uploads them to the blockchain for evidence storage. If the on-chain verification is normal, asynchronous rewards and penalties are executed according to the criteria.

[0011] Example 3: Bottom-level B anomaly alarm and hard linkage If the underlying B is illegally tampered with, the real-time hash will be inconsistent with the historical hash on the chain. The on-chain integrity verification module will immediately identify the anomaly. The on-chain anomaly alarm module will generate an alarm record, upload it to the chain, and broadcast it to human nodes. The local alarm hard linkage module will trigger security policies: implement gating silence, isolate high-risk interfaces, and freeze computing power and resources. Physical resource constraints will remain in effect to prevent large-scale losses. The entire process of the abnormal event will be traceable and auditable.

[0012] Example 4: Physical fallback protection under the failure of bottom layer B If the underlying layer B fails, is shut down, or is bypassed, local synchronous execution gating will be out of control; the physical resource constraint module will still independently maintain hard upper limits on rate, concurrency, scale, and frequency; AGI will be unable to execute high-rate, large-scale, and high-risk actions; the blockchain will detect abnormal status and trigger an alarm, allowing for safe human intervention.

[0013] Example 5: Strategy Upgrade During Maintenance Phase When AGI needs to update gating policies or resource constraint parameters, the new configuration is submitted to the chain and the human multi-signature process is re-initiated. Only after the multi-signature is approved can the old policy be overwritten, ensuring security and controllability.

Claims

1. A system for underlying B-level supervision, physical resource constraints, and blockchain-based trusted solidification in an AGI dual-underlying architecture, characterized in that, include: The underlying B-state hash module, asynchronous on-chain evidence storage module, on-chain integrity verification module, on-chain anomaly alarm module, local alarm hard linkage module, on-chain asynchronous reward and punishment module, local synchronous execution gating module, physical resource constraint module, and blockchain trusted solidification and multi-signature module.

2. The system according to claim 1, characterized in that, The local synchronous execution gating module is a purely local synchronous decision-making module that does not rely on the blockchain or wait for on-chain confirmation, ensuring that real-time inference latency is not affected.

3. The system according to claim 1, characterized in that, The asynchronous on-chain evidence storage module adopts a non-blocking mode, only uploading hash digests, criterion scores, and gating results, without processing underlying A inference data and token information.

4. The system according to claim 1, characterized in that, The on-chain integrity verification module detects tampering, replacement, bypassing, closing, criterion anomalies, and gating anomalies of the underlying B through hash comparison.

5. The system according to claim 1, characterized in that, When an anomaly is detected, the on-chain anomaly alarm module generates an on-chain alarm event and broadcasts the alarm signal to the human control node.

6. The system according to claim 1, characterized in that, The local alarm hard-link module receives alarm signals from the blockchain and enforces security silence, access restrictions, interface isolation, and resource freezing.

7. The system according to claim 1, characterized in that, The on-chain asynchronous reward and punishment module adjusts computing power quotas, permission levels, and resource access scope asynchronously based on the underlying B criterion results and integrity status.

8. The system according to claim 1, characterized in that, The physical resource constraint module sets immutable constraints at the hardware / firmware / kernel level on execution rate, concurrency, device size, network range, permission boundaries, and operation frequency.

9. The system according to claim 1, characterized in that, The blockchain trusted solidification and multi-signature module is configured as follows: during the initialization, startup and maintenance phases, physical resource constraint parameters, gating strategies and security thresholds are uploaded to the chain and must be approved by distributed multi-signature consensus of human nodes before they can take effect. There is no on-chain interaction and no performance loss during operation.

10. The system according to claim 1, characterized in that, AGI does not have the right to multi-signature, voting, or policy modification; only human-controlled nodes can participate in multi-signature confirmation.

11. The system according to claim 1, characterized in that, Physical resource constraints remain in effect independently of the underlying B state, and still provide a safety net when the underlying B is tampered with or shut down.

12. The system according to claim 1, characterized in that, Blockchain uses a consortium blockchain, where nodes are controlled by humans. AGI does not have node control, voting rights, or modification rights.

13. The system according to claim 1, characterized in that, The system does not involve virtual currencies, token issuance, mining, or trading; it is only used for AGI security monitoring, trusted evidence storage, anomaly alerts, and automated rewards and punishments.

14. The system according to claim 1, characterized in that, All states, verification results, gating decisions, alarm events, reward and punishment records, and security policies are permanently stored on the blockchain, and cannot be deleted, tampered with, or audited and traced.

15. The system according to claim 1, characterized in that, The blockchain trusted solidification and multi-signature module is also used to confirm the rights of computing power clusters, GPU nodes, storage and bandwidth resources on the blockchain, forming a trusted resource quota list.