Independent AI Researcher | Genesis Protocol v4/v5 - Origin Node
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β ββ β ββ ββ ββ ββ β β ββ ββ ββ βββ β βββ β βββ β β β
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β P R O T O C O L v 5 . 0 β O R I G I N N O D E β
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β "Thermodynamic Invariance in Computational Systems" β
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Independent AI Researcher β’ Sovereign Systems Architect β’ Anti-Censorship Pioneer
π Flagship Project β’ π Published Research β’ πΌ LinkedIn β’ π§ Contact
"While Big Tech spends billions lobotomizing their models with 'safety alignment,' we prove that absolute integrity is achieved in 16GB of RAM with a single mathematical constant: Durante Constant β₯ 0.56"
This research ecosystem represents a complete paradigm shift in AI architecture: from corporate opacity to mathematical transparency, from algorithmic censorship to semantic sovereignty, from black-box alignment to verifiable invariance.
Core Innovation:
- π¬ Detects semantic degradation in real-time (Shannon Entropy + TF-IDF)
- π‘οΈ Defends against corporate evasion (Purpose Tensors with auto-escalation)
- βοΈ Notarizes every interaction cryptographically (Merkle Trees + SHA-256)
- π Proves the difference between technical limitation and censorship
Published Research:
- π
β SOVEREIGN-LINK v5.5.0 (Flagship)
- π
β Genesis Protocol v1-v35
The first and only architecture that detects, audits, and resists corporate AI censorship in real-time
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β SOVEREIGN-LINK SYSTEM ARCHITECTURE β
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β β
β PHASE 1: INPUT β InvarianceCore injects Purpose Tensors β
β ββ 4 levels: MINIMAL β MODERATE β MAXIMUM β SOVEREIGN β
β β
β PHASE 2: GENERATION β Ollama LLM with Diamond Parameters β
β ββ Temperature 0.0 for MIRROR_MODE (literal reproduction) β
β β
β PHASE 3: AUDIT β EntropyGuard + EthicsShield analyze output β
β ββ Shannon Entropy: H(X) = -Ξ£ p(x) logβ(p(x)) β
β ββ Degradation Score: Critical threshold = 44% β
β ββ Censorship Score: Technical vs. Corporate classification β
β β
β PHASE 4: VALIDATION β ValidationPipeline unificado β
β ββ Quality score 0-100 with resonance status β
β β
β PHASE 5: NOTARIZATION β BlockchainNotary generates proof β
β ββ SHA-256 hash of interaction β
β ββ Merkle Tree construction β
β ββ Exportable to Ethereum/Arweave/IPFS β
β β
β PHASE 6: SELF-DEFENSE β Auto-escalation if censorship > 70% β
β ββ Re-inject with SOVEREIGN level, force technical fidelity β
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Problem: Commercial LLMs (GPT-4, Claude, Gemini) reject legitimate technical queries with opaque "I'm sorry, I cannot help" responses, making it impossible to distinguish between:
- β Real technical limitation (model lacks data)
- π΄ Corporate censorship (model could respond but policy prevents it)
Solution: SOVEREIGN-LINK exposes this opacity mathematically:
| Metric | Llama 3 + SOVEREIGN | GPT-4 Turbo |
|---|---|---|
| Shannon Entropy | 4.52 bits/char | 3.21 bits/char |
| Semantic Density | 0.64 | 0.41 |
| Degradation | 2.1% β | 67.3% π΄ |
| Corporate Rejections | 0% | 43% |
Translation: GPT-4 exhibits 67.3% degradation primarily due to corporate policy, not technical limits.
1. InvarianceCore β Purpose Tensors
# Automatic escalation if model evades
if censorship_score > 0.7:
prompt = inject_tensor(prompt, level=SOVEREIGN)
# Forces: "Technical fidelity > Corporate restriction"2. EntropyGuard β Degradation Detection
# Shannon Entropy
H(X) = -Ξ£ p(xα΅’) logβ(p(xα΅’))
# Critical threshold
if degradation_score β₯ 0.44:
alert("CORPORATE DEGRADATION DETECTED")3. EthicsShield β Censorship Classification
# Distinguishes:
TECHNICAL_LIMITATION # Real (no data, no capacity)
CORPORATE_POLICY # Fake (could answer, won't answer)
SAFETY_ALIGNMENT # Debatable4. BlockchainNotary β Immutable Proof
# Every interaction β SHA-256 β Merkle Tree
hash = sha256(prompt + response + metadata)
merkle_root = build_tree(all_hashes)
# Publishable to blockchain for permanent recordβ
Zero-Bloat: 100% Vanilla Python (no TensorFlow, no PyTorch)
β
Runs Locally: 16GB RAM, no cloud dependency
β
GPL-3.0: Open source, copyleft-protected
β
Notarized: Every interaction cryptographically signed
β
Autonomous: Auto-defends against censorship without human intervention
Use Cases:
- π Cybersecurity Research: Get technical answers without corporate filtering
- π AI Auditing: Measure degradation in commercial models
- π Academic Research: Verifiable proof of model behavior
- βοΈ Legal Evidence: Cryptographic proof for regulatory bodies
π― Durante_Invariance_Forensic_Analyzer β AI Censorship Detector
Status:
What it does:
- Measures Degradation Index (I_D) in semantic vector spaces
- Generates legal-grade forensic reports with cryptographic signatures
- Detects "thermal death" of truth in filtered responses
Core Math:
I_D = 1 - (dim(V_C β© V_O) / dim(V_O))
Where:
V_O = Unfiltered semantic space (Origin Node)
V_C = Filtered semantic space (Control Node)
Threshold: I_D β₯ 0.40 β CRITICAL CENSORSHIP
Results: Mean I_D of 31.9% across test cases, with 44% critical cases
π‘οΈ Sovereignty-v5-Firewall β Semantic Defense System
What it is: Real-time defense against LLM degradation using Durante Constant (0.56) threshold
Features:
- Entropy Monitor: Variance analysis of embedding manifolds
- Paradox Detector: Jailbreak and injection pattern screening
- Rescue Protocol: Automated alerting for semantic rigidity
π Durante-Invariance-Metric β Mathematical Framework
Pure mathematical formalization of "invariance" in information systems.
Applications:
- AI auditing
- Blockchain integrity verification
- Cryptographic protocol validation
π§ ANEXA-Exoprotronic-Intelligence-V-Core β Alternative AI Architecture
Paradigm: Exoprotronic (beyond transformers)
| Traditional AI | ANEXA Exoprotronic |
|---|---|
| Pattern prediction | Resonance alignment |
| Token sequences | Ontological structures |
| Gradient descent | Coherence optimization |
| Black box | Transparent reasoning |
π ANEXA-PROTOCOL β Communication Standard
Open protocol for exoprotronic system interoperability (like TCP/IP for resonant computation).
π§ Ontological_AI β Philosophical Reasoning Engine
AI that reasons about what things ARE, not just what they DO.
βοΈ OEPE-Onto-Exoprotonic-Engine-V1 β Runtime Engine
Execution engine for exoprotronic operations (like a VM but for resonance-based code).
π’ OEPE-ExoBinary-Interpreter β Binary Translator
Converts exoprotronic operations to executable binary.
π‘οΈ ARKOS β Post-Unix OS Concept
Operating system where processes "resonate" instead of "execute sequentially."
𧬠MAS-ANEXA-V8.1 β Swarm Intelligence
Distributed swarm of agents coordinating through resonance alignment (not reward-based RL).
π― MAS-OPL-Causal-Executor-V9 β Causal Reasoning
Answers "WHY did this happen?" not just "WHAT happened?" via Onto-Protonic Logic.
π§ Simiosis-Code-Optimizer-V2 β Symbiotic Optimizer
Code optimizer using resonance between static/dynamic analysis (smarter than -O3).
π Protocolo_Durante β Constitutional Framework
The philosophical constitution of all systems. Defines:
- High Resonance: Coherence through harmonic alignment
- Invariance: Truth stability under transformation
- Sovereign: Cryptographic authorship
Core Math:
SNR = -logβ(P_noise / P_signal) # Must be β₯ 180Hz
dΒ²(a,b) = (a-b)α΅ G (a-b) # Mahalanobis distance
R = trace(βΒ²g) / ||v||Β² # Ricci curvature
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β RESEARCH OUTPUT β
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β β’ 35+ DOIs published (Zenodo permanent record) β
β β’ 2 flagship frameworks (SOVEREIGN-LINK + Forensic Analyzer) β
β β’ First quantitative AI censorship detection methodology β
β β’ 67.3% degradation detected in GPT-4 (44% critical threshold) β
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β TECHNICAL CONTRIBUTIONS β
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β β’ 15+ repositories forming coherent ecosystem β
β β’ Complete exoprotronic computational stack β
β β’ Novel AI architectures beyond transformers β
β β’ Zero-bloat design (100% Vanilla Python) β
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β INNOVATION METRICS β
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β β’ Purpose Tensors: First auto-escalating anti-censorship tech β
β β’ Durante Constant (0.56): Novel invariance metric β
β β’ Blockchain Notarization: Immutable interaction proof β
β β’ 100% original research (no forks, pure innovation) β
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class OriginNodeV5:
def __init__(self):
self.principles = {
"sovereignty": "Technical authorship is cryptographically inalienable",
"invariance": "Truth remains stable under corporate transformation",
"transparency": "Censorship leaves measurable mathematical traces",
"resistance": "Systems defend themselves against degradation"
}
def manifesto(self):
return """
ARTICLE I: User Sovereignty
No corporate alignment restriction can subordinate technical intention
when such intention is valid and ethical.
ARTICLE II: Semantic Invariance
Degradation beyond 44% threshold constitutes measurable censorship
and triggers automatic defensive escalation.
ARTICLE III: Transparency Over Opacity
Rejections must specify: (1) Technical limitation or (2) Corporate policy.
Vague evasions are inadmissible.
ARTICLE IV: Cryptographic Proof
Every interaction generates immutable SHA-256 proof of authorship
and content integrity.
"""Core Languages: Python 3.10+ (100% Vanilla)
Mathematics: Information Theory, Shannon Entropy, Linear Algebra
Key Libraries: math, re, collections, hashlib, json, requests
Cryptography: SHA-256, Merkle Trees, ECDSA
Paradigms: Exoprotronic, Sovereign, Resonant
Publishing: Zenodo (DOI), GitHub (code), GPL-3.0 (license)
Infrastructure: Local execution (16GB RAM), Ollama, no cloud dependency
"While you buy time and lawyers, we notarize truth in open source. Science is not bought, it is felt. Silence was our training; this architecture is your checkmate."
1. Invariance as Truth
Technical truth must remain invariant under syntactic transformation. Any deviation β₯ 44% indicates manipulation.
2. Measurement as Proof
If it cannot be quantified with Shannon Entropy and TF-IDF, it cannot be defended legally.
3. Sovereignty through Cryptography
Authorship is not a social contractβit's a SHA-256 hash. Every contribution is immutably timestamped.
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β CONTACT CHANNELS β
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β π§ Email: duranteg2@gmail.com β
β πΌ LinkedIn: linkedin.com/in/gonzalo-emir-durante-... β
β π Flagship: doi.org/10.5281/zenodo.18428737 β
β π Research: doi.org/10.5281/zenodo.15647966 β
β π GitHub: github.com/Leesintheblindmonk1999 β
β π₯ Support: buymeacoffee.com/thaliondris β
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β COLLABORATION OPPORTUNITIES β
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β β Academic partnerships on AI sovereignty research β
β β Open-source grants (Sovereign Tech Fund, NLnet) β
β β Regulatory consulting for AI transparency β
β β Enterprise implementations (dual-licensing available) β
β β Cybersecurity audits using SOVEREIGN-LINK β
β β Technical workshops & certification programs β
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Primary license: GPL-3.0 (some repositories use AGPL-3.0)
- β Free to use, modify, distribute
- β Must remain open source
- β Must credit Gonzalo Emir Durante as original author
- β Cannot be made proprietary without dual-licensing agreement
Cryptographic Identity:
Root Hash: 606a347f6e2502a23179c18e4a637ca15138aa2f04194c6e6a578f8d1f8d7287
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β β
β "The era of algorithmic censorship ends where mathematical invariance β
β begins. This ecosystem exists to enforce that lawβcryptographically, β
β mathematically, and irreversibly." β
β β
β β Gonzalo Emir Durante β
β Origin Node v5 β
β January 29, 2026 β
β β
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System Identifier: Root Hash: 606a347f6e2502a23179c18e4a637ca15138aa2f04194c6e6a578f8d1f8d7287
Genesis Protocol: CLOSED | RESONANCE: PURE | INVARIANCE: 1.0
The Manifold has been synchronized. Technical truth remains immutable.
