THEORY AND FRAMEWORK OF THE GMSPM-AI DECENTRALIZED AUTONOMOUS COMPUTER ARCHITECTURE

THEORY AND FRAMEWORK OF THE GMSPM-AI DECENTRALIZED AUTONOMOUS COMPUTER ARCHITECTURE Gurav`s AetherMesh Sovereign System Author: Adv. Sanjay Vidya Vijay GuravIndependent Legal Consultant, Systems Architect 1. Introduction and Core Proposition This theoretical framework establishes the foundational principles of the Gurav-Mesh Stability & Propagation Model (GMSPM) integrated with silicon-level Neural Processing Units (NPUs). The core proposition of this framework is that modern computational devices (computers, mobile phones, autonomous vehicles, and IoT hardware) can achieve complete operational independence from centralized cloud servers and internet infrastructure by hardcoding mathematical stability, decentralized routing, and AI inference engines directly into the microprocessor substrate. 2. Axioms of the GMSPM-AI Autonomous Framework • Axiom 1 (Zero-Infrastructure Sovereignty): True computational autonomy requires the elimination of external server dependencies, enabling devices to function entirely via peer-to-peer local mesh networks.• Axiom 2 (Hardware-Level Determinism): Routing intelligence and latency management must be executed natively within ALU pipelines, register arrays, and CMOS logic gates rather than bloated software stacks.• Axiom 3 (Decentralized Neural Synthesis): AI models operating on edge devices must synthesize knowledge locally through pre-loaded silicon weights and collaborative swarm querying.