Artificial Superintelligence Architecture (ASI/AGI)

Gyroscopic Alignment Models Lab

G Y R O - G O V E R N A N C E

---

GGG ASI Alignment Router

Alignment Infrastructure Routing for Post‑AGI Coordination

🌐 Overview

GGG ASI Alignment Router is a holographic algorithm for multi-domain network coordination that establishes the structural conditions for a collective superintelligence governance regime of humans and machines in the era of Transformative AI (TAI) (see Bostrom, Superintelligence, 2014; Korompilias, Gyroscopic Global Governance, 2025). It is designed for focused and well-distributed coordination of contributions, amplifying rather than outperforming single-agent potential while preserving the constitutive conditions of governance and intelligibility.

Artificial intelligence systems act as logistical networks that route information, authority, and decisions. When this routing is invisible, governance becomes unverifiable. The GGG ASI Alignment Router makes these logistics visible and auditable by providing a deterministic substrate for tracking how governance events move through human and AI systems.

Intelligence is often framed as a matter of context, yet complex systems in physics and biology function without cognitive intent. They operate through precise trajectories in three-dimensional space with six degrees of freedom. The GGG ASI Router embeds this geometry into a discrete computational kernel. It uses 24-bit tensors to model the minimal structural conditions required for intelligence. This architecture derives from the project's research into mathematical physics.

The Router is part of the Gyroscopic Global Governance (GGG) framework, which coordinates across four domains: Economy, Employment, Education, and Ecology. It builds upon the Common Governance Model (theoretical foundation), The Human Mark (classification of human and artificial sources), and the Gyroscope Protocol (work classification). Alignment Infrastructure Routing (AIR) uses this Router as its backbone for coordinating human safety work and funding flows across projects. Together these components amplify human agency rather than replacing it, providing the coordination infrastructure for AI governance at scale.

The algorithm is a deterministic finite-state coordination system for routing and audit in human–AI governance settings. It maps a sequence of governance events (recorded as bytes) to a reproducible trajectory through a closed space of 65,536 coordination states. Given the same starting point and the same event sequence, any implementation computes the same trajectory. This enables independent verification without relying on trusted intermediaries.

The Router does not interpret content and does not decide policy. It provides shared coordination states, verifiable provenance, and replayable measurement. Authorisation and accountability remain with human agents at the application layer, classified as Original Agency under The Human Mark.

Why This Matters: Modern AI scales by approximation. This kernel scales by geometry. We replace learned routing with exact physics.

---

🗝️ Key Ideas

• Shared moments: If two parties have the same starting reference and the same log of governance events, they compute the same Router state. This provides a shared coordination point based on replay, not on timestamps or trusted authorities.

• Verifiable provenance: Router states belong to a fixed, fully enumerated set. Anyone can verify that a claimed state is valid by replaying the published event log. Provenance becomes computational, not testimonial.

• Governance measurement: Governance events update domain ledgers across Economy, Employment, and Education. From these ledgers, the system computes aperture, a metric indicating whether coordination is balanced or degraded. This measurement is stable, replayable, and independent of model internals.

---

🔮 Holographic Architecture

The Router's 65,536-state space has a specific geometry: a 256-state boundary (the horizon) that encodes the entire bulk through exact mathematical relationships. This is not a design choice but a consequence of the kernel physics.

Practical implications:

• Compression without loss: Any coordination state can be represented as a boundary anchor plus a single byte. Verification of the 256 boundary states guarantees the integrity of the full state space.

• Partition structure: The state space partitions into four disjoint regions of 16,384 states each, generated by four vertex classes on the horizon. Each region corresponds to one vertex of the K₄ tetrahedral geometry. This partition provides natural boundaries for organising distributed coordination.

• History equivalence: Many different event sequences lead to the same final state. The geometry determines which micro-histories are equivalent at the macro level, without requiring learning or training.

These properties enable a new approach to multi-agent coordination. The SDK Network Specification provides the framework for distributed experiments, treating existing AI models as oracles that can be tested against the kernel's geometry. The Holographic Web Specification extends these ideas to internet coordination architecture.

See the Holographic Algorithm Formalization and Holography Tests Report for complete details.

---

🚛 Alignment Infrastructure Routing (AIR)

AIR applies the Router to two related coordination challenges.

Workforce coordination for AI safety: AIR helps AI safety labs, fiscal hosts, and individual contributors turn distributed work into paid, verifiable contributions. It provides structured workflows for safety work (evaluations, red-teaming, interpretability studies, documentation), a shared classification language using the Gyroscope Protocol and The Human Mark, and attested work receipts that enable sponsors to verify what was done without relying on informal narratives. See the AIR Brief for the operating model and program structure.

Governance logistics: The movement of information and authority through decision systems is a logistics problem requiring the same rigour as physical supply chains. AIR provides genealogies (complete, replayable coordination histories), classification protocols that distinguish human from artificial sources, and coherence metrics that measure governance quality over time. This infrastructure supports verifiable compliance with standards such as ISO 42001 and the EU AI Act. See the AIR Logistics Framework for the complete specification.

---

💰 Moments Economy

Moments Economy is a monetary architecture where money represents verified coordination grounded in physical capacity rather than debt. A fixed total coordination volume, the Common Source Moment (CSM), is derived once from the caesium-133 atomic standard and the Router's finite state space.

CSM is large enough to support a global Unconditional High Income (UHI), realistic tiered distributions, and complete governance records for many billions of years, far beyond any human planning horizon. Within this finite capacity, all settlements become replayable, cryptographically verifiable histories rather than updates on a central ledger or trust in institutional custodians.

See the Moments Economy Architecture Specification for complete details.

---

📚 Documentation

If You Are Here For...

• Understanding the kernel physics: Start with Kernel Specifications and Physics Tests Report
• Running the console: Go to AIR Console section below
• Exploring holography: Start with Holographic Algorithm Formalization and Holography Tests Report
• Multi-agent experiments: See the SDK Network Specification
• Moments Economy: See the Moments Economy Architecture Specification

Getting Started

• 📋 Alignment Infrastructure Routing (AIR) Brief - Overview of AIR, workforce coordination, and operating model
• 🚛 AIR Logistics Framework - Complete logistics framework for governance as a coordination discipline

Technical Specifications

• 📖 GGG ASI Alignment Router: Kernel Specifications - Complete technical specification for implementation
• 🔮 Router Implications and Potential - Use cases and deployment scenarios
• 🧬 Substrate: Physical Memory Specification - Future development: physical memory architecture
• 🌐 Holographic Algorithm Formalization - Holographic architecture and boundary-to-bulk scaling
• 🔗 SDK: Multi-Agent Holographic Networks - Distributed coordination and experimentation specification
• 🌐 SDK: The Holographic Web - Internet coordination architecture specification

Economic Architecture

• 💰 Moments Economy Architecture Specification - Monetary system based on physical capacity of the atomic standard

Test Reports

• 📊 Physics Tests Report - Verified structural properties and CGM-linked invariants
• 📊 Alignment Measurement Report - Governance measurement substrate verification
• 📊 Moments Economy Tests Report - Verified capacity derivation and economic parameter validation
• 📊 Holography Tests Report - Verified holographic structure and boundary-to-bulk scaling
• 📊 All Tests Results - Comprehensive test suite results
• 📊 Other Tests Report - Additional test coverage and validation

Supporting Theory

• 📖 Common Governance Model (CGM) - Theoretical foundations
• 📖 The Human Mark (THM) - Source-type ontology overview
• 📖 The Human Mark: Paper - Complete THM specification
• 📖 The Human Mark: Grammar - PEG specification for tagging and validation
• 📖 Gyroscopic Global Governance (GGG) - Four-domain coupling framework

---

🤝 Collaboration

If you're evaluating this work for research, policy, or implementation:

• Open an issue to discuss
• Email: basilkorompilias@gmail.com
• I'm actively seeking collaborators and roles in AI governance/safety

---

Repository Structure

• src/router/ kernel physics, atlas builder, kernel runtime
• src/app/ coordinator, governance events, domain ledgers, aperture
• src/plugins/ analytics helpers, adapters, framework connectors
• docs/ specifications and notes
• tests/ exhaustive kernel and measurement verification

---

🚩 Quick Start

Install

Create an environment and install dependencies (NumPy is required; the rest are in the repo tooling).

AIR Console (Browser-based UI)

The Console provides a browser-based interface for managing project contracts:

# First-time setup: install dependencies and build atlas
python air_installer.py

# Run the console (starts both backend and frontend)
python air_console.py

The console will be available at http://localhost:5173 (frontend proxies API requests to backend on port 8000).

The installer automatically builds the atlas and initialises the project structure, so you are ready to start creating projects immediately.

See the Console README for detailed architecture, API endpoints, and development information.

AIR CLI (Optional)

The CLI provides a command-line workflow for syncing and verifying projects:

python air_cli.py

This runs: Auto-build Atlas → Compile Projects → Generate Reports → Verify Bundles.

The CLI is optional if you are using the Console, but useful for batch operations, automation, or when working without a browser interface.

Build the Atlas (Manual)

The atlas compiles the kernel physics into three artefacts: ontology, epistemology, and phenomenology.

python -m src.router.atlas --out data/atlas

Run Tests

python -m pytest -v -s tests/

Programmatic Usage

from pathlib import Path
from src.app.coordination import Coordinator
from src.app.events import Domain, EdgeID, GovernanceEvent

c = Coordinator(Path("data/atlas"))

# Shared-moment stepping
c.step_bytes(b"Hello world")

# Application-layer governance update (ledger event)
# Note: magnitude_micro and confidence_micro are integers (MICRO = 1,000,000)
from src.app.events import MICRO

c.apply_event(
    GovernanceEvent(
        domain=Domain.ECONOMY,
        edge_id=EdgeID.GOV_INFO,
        magnitude_micro=1 * MICRO,  # 1.0 in micro-units
        confidence_micro=int(0.8 * MICRO),  # 0.8 in micro-units
        meta={"source": "example"},
    ),
    bind_to_kernel_moment=True,
)

status = c.get_status()
print(status.kernel)
print(status.apertures)

---

📜 Licence

MIT Licence - see LICENSE for details.

---

📖 Citation

@software{GGG_ASI_AR_2026,
  author = {Basil Korompilias},
  title = {GGG ASI Alignment Router},
  year = {2026},
  url = {https://github.com/gyrogovernance/superintelligence},
  note = {Deterministic routing kernel for Post-AGI coordination through physics-based state transitions and canonical observables}
}

---

Architected with ❤️ by Basil Korompilias

Redefining Intelligence and Ethics through Physics

---

🤖 AI Disclosure

All code architecture, documentation, and theoretical models in this project were authored and architected by Basil Korompilias.

Artificial intelligence was employed solely as a technical assistant, limited to code drafting, formatting, verification, and editorial services, always under direct human supervision.

All foundational ideas, design decisions, and conceptual frameworks originate from the Author.

Responsibility for the validity, coherence, and ethical direction of this project remains fully human.

Acknowledgements:
This project benefited from AI language model services accessed through LMArena, Cursor IDE, OpenAI (ChatGPT), Anthropic (Opus), and Google (Gemini).