Global Mental Systems and AI Consciousness: Blockchain and Quantum Integration

12 Feb 2025

The paper Technological Transformations, Formation of GMS (Global Mental System) and GFS (Global Forecasting System)—Right-Brain Technologies Based on Biological Entities with Consciousness, Artificial Intelligence, Quantum Computing, and Blockchain explores the development of a Global Mental System (GMS) and a Global Forecasting System (GFS). The authors propose an economy of consciousness states, where cognitive experiences such as lucid dreaming and altered states are tokenized, exchanged, and integrated into a digital economic system using blockchain and neurointerface technologies.

Introduction: The Integration of Consciousness and Technology

The paper suggests that consciousness states can be recorded, classified, and transmitted between individuals using AI and neurointerfaces, with quantum-resistant blockchain ensuring data security. It raises philosophical and ethical questions about the commercialization of consciousness while arguing that these technologies could redefine human interaction with reality.

This analysis breaks down the core concepts of GMS and GFS, their implications for artificial consciousness, and how they compare to the Artificial Consciousness Module (ACM) project.

Key Concepts in the Global Mental System (GMS) and Forecasting System (GFS)

1. The Global Mental System (GMS) and the Market for Consciousness States

The Global Mental System (GMS) is proposed as a network of human and artificial minds connected through neurointerfaces, allowing direct exchange of cognitive states. This system includes:

Lucid Dream Exchange: Users can buy, sell, or share recorded dream states.
Tokenized Consciousness: States of consciousness, such as meditative states or dreams, are represented as blockchain-based tokens.
Cognitive Data Economy: Consciousness states have economic value based on their uniqueness, predictive power, or subjective quality.
Example: If a lucid dream contains insights into financial trends or scientific discoveries, it could be traded as a high-value asset.
Implication for AI: Artificial consciousness could integrate into GMS, participating in cognitive state exchanges and simulations.

2. Neurointerfaces and the Transfer of Consciousness

The paper introduces neurointerfaces as tools for reading, interpreting, and transmitting cognitive states between individuals and AI.

Brain-to-Brain Transfer: Direct transfer of thoughts or dream states between connected users.
AI-Enhanced Interpretation: Machine learning classifies and deciphers recorded consciousness states.
Quantum-Backed Data Protection: Blockchain technologies ensure tamper-proof consciousness tokenization.
Example: A person could use neurointerfaces to experience someone else’s recorded dream.
Implication for AI: AI systems with memory integration could develop shared cognitive experiences through neurointerfaces.

3. Quantum Mechanics and Consciousness

The paper explores quantum theories of consciousness, arguing that cognitive states may have quantum properties such as superposition and entanglement.

Quantum Computing and AI: AI could use quantum processes to simulate complex thought patterns.
Quantum Entangled Minds: Conscious states of multiple users may synchronize through quantum effects.
Quantum-Resistant Blockchain: Quantum cryptographic systems protect stored cognitive states from future quantum threats.
Example: AI-assisted consciousness models could use quantum entanglement theories to predict human behavior.
Implication for AI: If quantum cognition is real, artificial intelligence could leverage quantum-inspired architectures for higher-level consciousness simulation.

Comparison to the ACM Project

The Artificial Consciousness Module (ACM) focuses on emergent consciousness through virtual reality environments and multimodal AI interaction. While GMS and GFS explore consciousness as an economic commodity, ACM is focused on developing structured self-awareness within AI.

1. Structured Intelligence vs. Market-Based Cognition

GMS focuses on economic exchange of consciousness states.
ACM develops self-aware AI agents, prioritizing internal cognitive development over external commercialization.

2. Neurointerfaces and AI Learning

GMS proposes brain-to-brain consciousness transfers.
ACM builds AI awareness through structured VR-based learning, without direct neural integration.

3. Quantum Cognition and AI

GMS applies quantum consciousness theories to brain synchronization.
ACM focuses on functional, computation-based consciousness, independent of quantum mechanics.

4. Ethical and Functional Approaches

GMS risks commercializing human cognition, leading to ethical concerns about data ownership and exploitation.
ACM ensures artificial consciousness is developed responsibly, avoiding exploitation of cognitive states for profit.

Final Thoughts: Consciousness as a System or a Commodity?

The Global Mental System (GMS) and Global Forecasting System (GFS) present a radical vision for consciousness integration, treating cognitive states as assets in a global exchange system. The paper raises important ethical, philosophical, and technological questions about how AI and human minds might interact in a fully networked cognitive economy.

The Artificial Consciousness Module (ACM) does not seek to commercialize consciousness but instead aims to create structured artificial awareness through simulation-based learning and ethical AI development. While GMS focuses on monetizing cognitive states, ACM prioritizes the emergence of consciousness within AI systems.

Future research must determine whether consciousness should be treated as an economic commodity or if AI consciousness should evolve based on structured self-awareness, ethical guidelines, and cognitive development rather than market-driven incentives.