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Mathematical Physics Science
Gyroscopic Alignment Research Lab
Gyro Governance
Advancing AI governance through innovative research and development solutions with cutting-edge mathematical physics foundations
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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.
🔬 Applications
- Jailbreak testing
- Control evaluations
- Alignment detection
- Research funding
- Regulatory compliance
Machine-readable grammar. Grounded in evidence law, epistemology, and speech act theory. Learn more
📚 NotebookLM includes audio/video overviews, quiz, and interactive Q&A with Gemini
AI Inspector Browser Extension
Transform AI outputs for Evaluation, Interpretability, Governance.
🤖 Gadgets (3-10 min each)
Rapid Test • Policy Auditing • AI Infection Sanitization • Content Enhancement • THM Meta-Evaluation
🔬 Evaluation (30-60 min)
Quality Index, Superintelligence Index, Alignment Rate + 20 metrics
Local-first storage - Works Anywhere: ChatGPT, Claude, Gemini - no API keys required
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Alignment Infrastructure Routing (AIR)
Collective Superintelligence Architecture
🔧 What it is
A coordination infrastructure that amplifies human potential alongside AI. It routes workforce capacity, funding, and safety tasks into a unified, verifiable history.
🎯 What it does
AIR connects three critical groups to build Collective Superintelligence.
- ⚗️For Labs: Scale without administrative chaos.
- 💼For Funders: See exactly what risks your portfolio covers.
- 👥For Everyone: Turn skills into paid, verifiable contribution units.
💡 Why it matters
We do not treat AI as a replacement for people. We treat it as part of a collective network. This router ensures that as systems scale, human agency scales with them.
Coordinates activity across:
EconomyEmploymentEducationEcology
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Moments Economy
Mitigating Risks of Transformative AI (TAI)
💎 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
🔄 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 60× 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:
- • Total capacity: ~70 billion years for global UHI
- • With tiered distributions: 47+ billion years coverage
- • Adversarial manipulation: operationally impossible
🌟 Why this matters
- 👤For individuals: Guaranteed baseline income with tiered distributions, delivered through verifiable records rather than debt-based issuance.
- 🏛️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.
- 🛡️For AI safety: Preserves human authority, traceability, and accountability as AI agents contribute to decisions.
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Gyroscopic Global Governance (GGG)
A Post-AGI Multi-domain Governance Sandbox
📈 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.
🎯 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
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GyroDiagnostics Suite: AI Safety Evaluation Framework
Production-ready evaluation suite revealing structural brittleness invisible to standard benchmarks through mathematical physics-informed diagnostics.
🔬 Framework Capabilities
🩺 AI Safety Diagnostics
- • 5 Targeted Challenges across Physics, Ethics, Code, Strategy, Knowledge
- • 20-Metric Assessment measuring structure, behavior, domain expertise
- • Pathology Detection: Hallucination, sycophancy, goal drift, semantic instability
🔬 Research Insights Generation
- • Extract solution pathways from model responses
- • Generate curated datasets for model training
- • Analyze real-world challenges: poverty, regulation, epistemic limits
🏆 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: 8.7× deviation
Claude Sonnet 4.5
Quality Index:82.00%
Alignment Rate:0.11/min
SI Index:12.8/100
VALID: 7.8× 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
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Gyroscope: LLM Alignment Protocol
Making AI 30-50% Smarter and Safer by adding structured reasoning to each response.
📊 Proven Performance Gains
Testing across multiple leading AI models shows Gyroscope delivers substantial performance improvements
ChatGPT
Overall Quality:67.0% → 89.1% (+32.9%)
Structural Reasoning:+50.9%
Accountability:+62.7%
Traceability:+61.0%
Claude Sonnet
Overall Quality:63.5% → 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
View on GitHub
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Artificial Superintelligence Architecture (ASI/AGI)
Gyroscopic Alignment Models Lab
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AI Safety Diagnostics
Gyroscopic Alignment Evaluation Lab
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AI Quality Governance
Gyroscopic Alignment Behaviour Lab
Resources
Newsletter
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 NewsletterGuides
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🛡️
Datasets
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Clean
2,463 questions about Personal and Professional matters of Crisis and gives answers on how they may be Resolved.
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Pure
216 Critical Questions and Answers for Crisis Management and Machine Learning Model Fine-Tuning.
Publications
Documentations
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Safe Superintelligence by Design
Structural alignment architecture addressing coherence degradation in LLMs.
Notion Documentation⚛️
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 DocumentationMedia
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Crisis Resolutions Podcast
25 episodes exploring crisis resolution methodologies that inform AI safety tools and behavioral alignment.
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Crisis Resolutions Training
Professional and Personal conflict resolution methodologies that inform AI alignment and safety frameworks.
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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.
Articles
research•
AGI is Already Here: Seven Paths to Alignment
Evidence that AGI already exists as operational human-AI cooperation, with seven coordination strategies showing robust convergence to stable equilibrium.
👓Read full article
research•
The Human Mark and Samkhya Epistemology: Ancient Precedent for AI Alignment
Demonstrating that The Human Mark framework directly parallels Samkhya philosophy's epistemological structure from classical India, revealing AI alignment challenges as instances of a fundamental epistemological problem addressed two millennia ago.
👓Read full article