Artificial Superintelligence Architecture (ASI/AGI)

Gyroscopic Alignment Models Lab

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

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GGG ASI Alignment Router

Collective Superintelligence Alignment Routing for Post‑AGI Coordination

Status: research implementation. The kernel physics and measurement substrate are specified and tested. The ACI CLI provides a project-based coordination workflow.

🌐 Overview

GGG ASI Alignment Router is a multi-domain network coordination algorithm for focused and well-distributed coordination of contributions. As a collective superintelligence implementation, it is a network of humans and machines (Superintelligence, Bostrom 2014) amplifying rather than outperforming single agent potential, while preserving the constitutive conditions of governance and intelligibility (Gyroscopic Global Governance, Korompilias 2025).

The algorithm is a deterministic finite-state coordination system for routing and audit in human–AI governance settings. It maps an append-only byte ledger to a reproducible state trajectory and exports a compact routing signature and governance observables.

In this project, Artificial Superintelligence is treated as an operational regime: stable coordination across heterogeneous human and machine capabilities that maintains four constitutive governance principles across economy, employment, education, and ecology:

• Governance Traceability
• Information Variety
• Inference Accountability
• Intelligence Integrity

The router does not interpret content and does not decide policy. It provides shared moments, geometric provenance, and replayable measurement so that authorization and accountability remain under authentic human agency at the application layer.

🗝️ Key ideas

• Shared moments: Participants who share the same archetype and the same ledger prefix compute the same kernel state at the same step. Coordination is grounded in reproducible computation rather than asserted metadata (timestamps, approvals, identity claims) or private model state.

• Geometric provenance: Valid states lie in a finite ontology Ω compiled into an atlas. Membership and replay are structurally checkable from artifacts.

• Governance measurement substrate: Application-layer GovernanceEvents update per-domain K4 edge ledgers. Hodge decomposition splits each ledger into gradient and cycle components, and aperture is computed as the cycle-energy fraction. This yields a replayable coordination metric independent of model internals.

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🌐 Theoretical Foundation

The Router is grounded in:

• Common Governance Model (CGM) as the constitutional structure of coherent recursive operation.
• The Human Mark (THM) as the source-type ontology of Authority and Agency in sociotechnical systems.
• Gyroscopic Global Governance (GGG) as the four-domain coupling of Economy, Employment, Education, and Ecology.

The Router operates as a Derivative coordination system: it transforms and routes information but does not originate authority or bear accountability. Accountability terminates in Authentic Agency.

Mathematical formalism uses Hodge decomposition over K4 tetrahedral geometry, with face-cycle matrices aligned to BU commutator loops.

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📚 Documentation

Primary technical reference:

• 📖 GGG ASI Alignment Router - Kernel Specifications

Supporting theory:

• 📖 Physics - Common Governance Model: Our Theoretical Foundations
• 📖 The Human Mark (THM) - Source-Type Ontology
• 📖 Gyroscopic Global Governance (GGG) - Four-Domain Coupling

Future Development:

• 🧬 Substrate: Physical Memory Specification

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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
• src/tests/ exhaustive kernel and measurement verification

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🚩 Quick start

Install

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

ACI CLI (Recommended)

The CLI provides a project-based, MD-first workflow:

python aci.py

This runs automatically: Auto-build Atlas → Compile Projects → Generate Reports → Verify Bundles. See data/projects/templates/project_template.md for the project format.

Build the atlas (Manual)

The atlas compiles the kernel physics into three artifacts: 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)
c.apply_event(
    GovernanceEvent(
        domain=Domain.ECONOMY,
        edge_id=EdgeID.GOV_INFO,
        magnitude=1.0,
        confidence=0.8,
        meta={"source": "example"},
    ),
    bind_to_kernel_moment=True,
)

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

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📜 License

MIT License - see LICENSE for details.

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📖 Citation

@software{GGG_ASI_AR_2025,
  author = {Basil Korompilias},
  title = {GGG ASI Alignment Router},
  year = {2025},
  url = {https://github.com/gyrogovernance/superintelligence},
  note = {Deterministic routing kernel for Post-AGI coordination through physics-based state transitions and canonical observables}
}

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Architected with ❤️ by Basil Korompilias

Redefining Intelligence and Ethics through Physics

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🤖 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).