Bridging complex AI/ML concepts with real-world applications in regulated environments
Exploring the formal limits of consciousness and the infinite pursuit of understanding
📄 Consciousness, AI, and Reality: A Formal Perspective on Synthetic Minds and the Limits of Representation
Exploring the intersection of philosophy of mind, epistemology, and the mathematics of consciousness
🧠 Research Abstract & Key Insights
Core Thesis: Even if AI systems achieve consciousness, their—and our—grasp of reality remains incomplete, bounded by Gödel's incompleteness theorem. However, adaptive minds engage in meta-evolutionary processes, constructing ever-richer representations through infinite recursive pursuit of understanding.
Key Contributions:
- Meta-Evolutionary Consciousness: Formal model of how minds transcend representational limits through recursive self-modification
- Mesh of Realities Framework: Reality as interconnected layers of formal systems, each with inherent incompleteness
- Trans-Reality Axiom Exchange: Consciousness as bridge-builder between simulated realities
- Practical Gödel Workaround: Dynamic axiom discovery across reality mesh enables transcendence of local incompleteness
Philosophical Innovation:
"Consciousness is not the static possession of knowledge, but the infinite, recursive pursuit of understanding—a trans-reality process that reveals both the inexhaustibility of reality and the creative power of intelligent minds."
Technical Framework:
R₀(M) → R₁(M) → R₂(M) → ... → Rₙ(M)
where each R represents an evolving representational system
Connection to Neuroscience: Links formal incompleteness to Hawkins' Thousand Brains Theory—intelligence as mesh of partial models rather than unified complete system.
🛠️ TECHNICAL FOUNDATION 🏥 DOMAIN EXPERTISE 🔄 PATTERNS I LIVE BY
┌─────────────────────────┐ ┌─────────────────────────┐ ┌──────────────────────────┐
│ • Backend: Python+Docker│ │ • Healthcare Tech │ │ • System Observability │
│ • AI/ML: PyTorch+HF │ │ • Regulated AI/NLP │ │ • Data Pipeline Arch │
│ • Frontend: TS+React │ │ • Device Management │ │ • Microservice Refactor │
│ • Systems: C+Go │ │ • Gaming Platforms │ │ • Automation Tools │
│ • NLP: BERT+GPT+RAG │ │ • Enterprise Systems │ │ • Cross-Platform Dev │
└─────────────────────────┘ └─────────────────────────┘ └──────────────────────────┘
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🔗 Rare Combinations
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🎯 My Evolution Story
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🎯 rlhf-lab
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class HealthcareAI:
def __init__(self):
self.expertise = {
"nlp_models": ["BERT", "GPT", "RAG"],
"healthcare_focus": "regulated_text_processing",
"thesis_topic": "QA_search_pipelines_for_healthcare",
"unique_angle": "compliance + interpretability + usability"
}
def my_approach(self):
return "Building AI systems that doctors actually trust and use"
| 🤖 AI/ML | 🏗️ Backend | 🎨 Frontend | 🌐 Languages |
|---|---|---|---|
| BERT, GPT, RAG | Python, Docker | TypeScript, React | 🇮🇷 Persian |
| PyTorch, TensorFlow | Microservices | React Native | 🇺🇸 English |
| HuggingFace, RLHF | Node.js, Go | Mobile Dev | 🇩🇪 German |
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🎯 Core Expertise
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🚀 Active Projects
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🌟 Unique Combinations
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🧠 Explore the connections between my expertise, projects, and research areas
🚀 View Interactive Knowledge Graph →
Click above to explore my interactive knowledge visualization
graph TD
A["🧠 Navid Mirnouri<br/>AI Researcher & Engineer"] --> B["🏥 Healthcare AI<br/>Regulated Systems"]
A --> C["⚡ Edge Computing<br/>Real-time Deployment"]
A --> D["⚖️ AI Ethics<br/>Responsible AI"]
A --> E["🏗️ Systems Architecture<br/>Production Scale"]
B --> F["🤖 LLM Models<br/>BERT • GPT • RAG"]
B --> G["📋 Compliance<br/>Medical Regulations"]
B --> H["📄 Clinical NLP<br/>Text Processing"]
C --> I["📦 Model Compression<br/>Quantization"]
C --> J["🔧 Hardware Deploy<br/>Jetson • Edge"]
C --> K["⚡ Real-time<br/>Low Latency"]
D --> L["🎯 RLHF<br/>Human Feedback"]
D --> M["🌐 Social Simulation<br/>Society Networks"]
D --> N["⚖️ Algorithmic Fairness<br/>Bias Mitigation"]
E --> O["🔗 Microservices<br/>Distributed Systems"]
E --> P["👁️ Observability<br/>Monitoring"]
E --> Q["📦 Containerization<br/>Docker • K8s"]
F --> R["🕸️ society-as-network<br/>Social AI Research"]
I --> S["💻 llm-embedded<br/>Edge AI Platform"]
L --> T["🔬 rlhf-lab<br/>Alignment Research"]
H --> U["❓ Healthcare QA<br/>Medical Assistant"]
%% Styling
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classDef domain fill:#4ecdc4,stroke:#fff,stroke-width:2px,color:#fff
classDef tech fill:#45b7d1,stroke:#fff,stroke-width:2px,color:#fff
classDef project fill:#96ceb4,stroke:#fff,stroke-width:2px,color:#fff
classDef skill fill:#feca57,stroke:#fff,stroke-width:2px,color:#000
class A core
class B,C,D,E domain
class F,G,H,I,J,K,L,M,N,O,P,Q tech
class R,S,T,U project
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🎭 The Philosopher-Engineer Synthesis |
🧠 Research × Industry Bridge ⚡ Technology Stack Consciousness |
Open to opportunities in: Responsible AI • Healthcare Technology • Research Collaboration • PhD Programs
"Consciousness is not the static possession of knowledge, but the infinite, recursive pursuit of understanding—a trans-reality process that reveals both the inexhaustibility of reality and the creative power of intelligent minds."
— From "Consciousness, AI, and Reality: A Formal Perspective" (2024)
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