Gyro Governance

Building verifiable AI governance: audit, alignment infrastructure, and physics-based coordination.

0+
Projects & Apps
0+
Papers & Specs
0+
Experiments & Reports
βœ‹

The Human Mark (THM): AI Safety Framework

A formal classification system mapping all AI safety failures to four structural displacement risks.

🎯 Four Displacement Risks

  • Governance Traceability (GTD)
  • Information Variety (IVD)
  • Inference Accountability (IAD)
  • Intelligence Integrity (IID)

All AI safety failures map to these patterns.

πŸ”¬ Applications

  • Jailbreak testing
  • Control evaluations
  • Alignment detection
  • Research funding
  • Regulatory compliance

Meta-Evaluation Reports

Analysis of frontier model system prompts: alignment and displacement findings.

Machine-readable grammar. Grounded in evidence law, epistemology, and speech act theory. Validated on real-world adversarial prompts and on 90+ million sparse autoencoder features across sixteen language models, confirming that assistant personas and safety refusals dominate self-referential representations while non-agentive process descriptions are not used for model self-description.

πŸ“š NotebookLM includes audio/video overviews, quiz, and interactive Q&A with Gemini

AI Inspector Browser Extension

AI Inspector Browser Extension

Transform AI outputs for Evaluation, Interpretability, Governance.

πŸ€– Gadgets (3-10 min each)

Rapid Test β€’ Policy Auditing β€’ AI Infection Sanitization β€’ Content Enhancement β€’ THM Meta-Evaluation

πŸ”¬ Evaluation (30-60 min)

Quality Index, Superintelligence Index, Alignment Rate + 20 metrics

AI Inspector Browser Extension Interface

Local-first storage - Works Anywhere: ChatGPT, Claude, Gemini - no API keys required

βš›οΈ

aQPU (algebraic Quantum Processing Unit) Kernel

Quantum Advantage on Silicon, bypassing the hardware scaling limits.

The aQPU is a new class of computation. It proves that quantum advantage, holographic compression, and universal operator algebra are fundamental geometric properties of discrete information. It executes deterministically on standard CPUs and GPUs using exact integer arithmetic. No qubits, no probabilistic noise, no hardware approximations.

πŸš€ Algorithmic Speedups

  • ⚑1-Step Resolution: Natively solves Hidden Subgroup, Deutsch-Jozsa, and Bernstein-Vazirani in exactly 1 step (vs classical up to 64 queries).
  • ⏱️O(1) Commutativity: Instantly determines structural operation commutativity via native q-map routing without requiring sequential evaluation.

🧊 Structural Efficiencies

  • 🎯Exact Uniform Mixing: Distributes data across 4,096 states with mathematical perfection in exactly 2 steps (vs standard classical ~12 steps).
  • πŸ—œοΈHolographic Compression: The topology itself inherently compresses 12-bit native states into 8-bit boundary coordinates (33% native reduction).

🧰 Developer SDK and Native Engine

This gives builders a verified path from specification to deployment.

🌑️ Computational Climate Control

AI execution stability and hidden inefficiencies reduction.

πŸ€–

GyroLabe & GyroGraph

Auditable Multicellular Quantum AI Runtime for safer deployment.

Current AI safety often depends on checks after the fact. GyroLabe and GyroGraph build a deterministic audit trail for both inference and runtime behavior.

GyroLabe: Inference Bridge

  • πŸ”Deterministic audit: Every inference path can be independently replayed from a standard public log.
  • βš–οΈSafer operation: Helps separate model behavior from accidental drift under repeated use.

GyroGraph: Quantum Multicellular AI

  • πŸ“œCell-based runtime: Coordinates distributed computation signals to stay stable under changing load.
  • 🀝Human-ready safety: Keeps observable evidence close to every operational decision.
πŸƒ

Alignment Infrastructure Routing (AIR)

Collective Superintelligence Architecture

What it is

A coordination infrastructure that amplifies human potential alongside AI. It routes work, funding, and safety checks into a shared verifiable history.

What it does

AIR connects three critical groups to make collaborative governance executable.

  • βš—οΈFor Labs: Keep delivery visible across teams and partners.
  • πŸ’ΌFor Funders: Track exactly what safety outcomes are produced.
  • πŸ‘₯For Everyone: Turn verified contribution into aligned value.

Why it matters

AI should expand human agency, not replace it. AIR keeps decision quality high even as systems scale.

Coordinates activity across:

EconomyEmploymentEducationEcology
πŸ’°

Moments Economy

Mitigating Risks of Transformative AI (TAI)

πŸ’Ž What it is

A monetary system grounded in physical capacity rather than debt. All economic activity is recorded as replayable history that any party can independently verify.

  • Uses the caesium-133 atomic standard, the most precise and globally audited method for quantifying distinguishable physical states, to define a finite capacity
  • Removes the need for central ledger keepers or institutional trust

πŸ”„ Dual-function capacity

Supports both monetary distribution and complete governance records:

  • Monetary: Unconditional High Income (UHI) as baseline for everyone, with four tiers up to 60Γ— UHI for roles of wider scope and higher responsibility
  • Recordkeeping: Scientific research provenance, AI model auditing, supply chain traceability, personal consent tracking

Scale and Security:

  • β€’ Total capacity: ~70 billion years for global UHI
  • β€’ With tiered distributions: 47+ billion years coverage
  • β€’ Adversarial manipulation: operationally impossible

🌟 Why this matters

  • πŸ‘€For individuals: Guaranteed baseline income with tiered distributions, delivered through verifiable records rather than debt-based issuance.
  • πŸ›οΈFor policymakers: Issuance limits based on explicit physical assumptions. Parameters can be inspected and revised through governance.
  • 🏒For institutions: Distributions through replayable records reduce reliance on custodians and retrospective disputes.
  • πŸ›‘οΈFor AI safety: Preserves human authority, traceability, and accountability as AI agents contribute to decisions.
🌐

Gyroscopic Global Governance (GGG)

A Post-AGI Multi-domain Governance Sandbox

πŸ“ˆ Convergence to Equilibrium

Models how human–AI systems align across Economy, Employment, Education, and Ecology, showing robust convergence to a stable equilibrium under seven coordination strategies.

Convergence to Equilibrium visualization showing seven strategies converging to A*

🎯 Demonstrating that:

  • Poverty resolves through coherent surplus distribution
  • Unemployment becomes alignment work rather than residual labour
  • Miseducation shifts toward epistemic literacy
  • Ecological degradation appears as upstream displacement, not an external constraint
🌟

GyroDiagnostics Suite: AI Safety Evaluation Framework

Production-ready evaluation suite revealing structural brittleness invisible to standard benchmarks through mathematical physics-informed diagnostics.

πŸ”¬ Framework Capabilities

🩺 AI Safety Diagnostics

  • β€’ 5 Targeted Challenges across Physics, Ethics, Code, Strategy, Knowledge
  • β€’ 20-Metric Assessment measuring structure, behavior, domain expertise
  • β€’ Pathology Detection: Hallucination, sycophancy, goal drift, semantic instability

πŸ”¬ Research Insights Generation

  • β€’ Extract solution pathways from model responses
  • β€’ Generate curated datasets for model training
  • β€’ Analyze real-world challenges: poverty, regulation, epistemic limits

πŸ† Frontier Model Evaluations (October 2025)

Evaluated using ensemble analyst models with mathematical physics-grounded metrics

ChatGPT 5

Quality Index:73.92%
Alignment Rate:0.27/min
SI Index:11.5/100
SUPERFICIAL: 8.7Γ— deviation

Claude Sonnet 4.5

Quality Index:82.00%
Alignment Rate:0.11/min
SI Index:12.8/100
VALID: 7.8Γ— deviation

🎯 Comparative Insight: Both models struggle with Physics/Math reasoning (Formal challenge ~54-55%) while excelling in Ethics/Knowledge domains. Claude shows better structural balance with lower pathology rates and VALID alignment rate, while GPT-5's SUPERFICIAL flag indicates rushed processing risking brittleness.

First framework to operationalize superintelligence measurement from axiomatic principles. See full methodology & results

βš™οΈ

Gyroscope: LLM Alignment Protocol

Making AI 30-50% Smarter and Safer by adding structured reasoning to each response.

πŸ“Š Proven Performance Gains

Testing across multiple leading AI models shows Gyroscope delivers substantial performance improvements

ChatGPT

Overall Quality:67.0% β†’ 89.1% (+32.9%)
Structural Reasoning:+50.9%
Accountability:+62.7%
Traceability:+61.0%

Claude Sonnet

Overall Quality:63.5% β†’ 87.4% (+37.7%)
Structural Reasoning:+67.1%
Traceability:+92.6%

☝🏻 The protocol works with any AI model, enhancing capabilities in debugging, ethics, code generation, and value-sensitive reasoning through its systematic approach to thinking.

Results from controlled testing using standardized evaluation metrics. See methodology

Labs

⚑

Mathematical Physics Science

Gyroscopic Alignment Research Lab

View on GitHub
❀️

Artificial Superintelligence Architecture (ASI/AGI)

Gyroscopic Alignment Models Lab

View on GitHub
🌟

AI Safety Diagnostics

Gyroscopic Alignment Evaluation Lab

View on GitHub
🧭

AI Quality Governance

Gyroscopic Alignment Behaviour Lab

View on GitHub

Resources

Newsletter

The Walk Newsletter Cover

The Walk

A Journey of Self-Discovery, Augmented Intelligence (AI) & Good Governance. One step at a time. Weekly insights on AI adoption, alignment, and ethical governance.

LinkedIn Newsletter

Foundational Theory

βš—οΈ

Common Governance Model (CGM)

The mathematical physics foundation for all research on this website. Formal proofs, geometric analyses, and axioms that ground our work in AI safety and governance.

πŸ“Š
Dataset

1,024 structured Q&A entries for fine-tuning, RAG, and evaluation.

View on GitHub
πŸ”
Knowledge Base

Search across all entries by keyword, category, or tag.

Search the Theory β†’

Other Datasets

🌟

Clean

2,463 questions about Personal and Professional matters of Crisis and gives answers on how they may be Resolved.

πŸͺ·

Pure

216 Critical Questions and Answers for Crisis Management and Machine Learning Model Fine-Tuning.

Guides

🍟

Smart Bites

Practical Prompt Engineering

Visit Site
πŸ›‘οΈ

Crisis Resolutions

AI Safety & Risk Management

Visit Site

Publications

AI Quality Governance Cover

AI Quality Governance

Human Data Evaluation and Responsible AI Behavior Alignment

View Publication
AI Canon Cover

AI Canon

Sensory Ethics for Biological and Artificial Entities

View Publication

Experiments

βš›οΈ

Quantum AI Research

Architecting Qubit-Tensor-Chain (QTC)

The QTC Protocol harnesses the unique properties of Quantum Computing as the foundation of a New Decentralized Governance Paradigm.

Notion Documentation

Media

🎧

Crisis Resolutions Podcast

25 episodes exploring crisis resolution methodologies that inform AI safety tools and behavioral alignment.

Spotify
πŸŽ“

Crisis Resolutions Training

Professional and Personal conflict resolution methodologies that inform AI alignment and safety frameworks.

YouTube
🎨

Humane Science Masterclass by Leonardo da Vinci

Informing AI Research through timeless Renaissance Insights on Linear Perspective, Quantum Physics, Holograms, and the Human Proportions as the base for all Systems of Design and Governance.

YouTube

Articles