3rd May 2025

Abstract

This paper presents a significant breakthrough: the successful execution of the Neural-Matrix Synaptic Resonance Network (NM-SRN) v2.0, demonstrating AGI Level 1 capabilities, on an ESP32 microcontroller platform via the Wokwi simulator. This achievement highlights the potential of NM-SRN as a transparent, explainable, and inherently 'Safer by Design' Artificial General Intelligence architecture. We provide visual evidence from the simulation, showcasing core NM-SRN functionalities operating within the constraints of edge hardware, including resonance-based propagation and Fast Forward Learning (FFL) enabled by default through its Turing complete design. This work, part of the open-source 'ThinkSpace' PROJECT, validates the practical viability of running advanced, adaptable AI models in accessible, real-world environments. Source code is omitted due to intellectual property considerations.

2nd May 2025

Abstract:

Current biological and medical paradigms face limitations in explaining the complexities of chronic disease, aging, and organismal resilience. We propose the Quantum Holobiont Cellular Sovereignty & Resilience Matrix (QHCSRM) as a novel theoretical framework. QHCSRM posits that the fundamental basis of health resides within a complex, integrated system operating at the cellular level within the holobiont context. This system, conceptualized as an operational QHCSRM Matrix/Cube, depends crucially on interactions within the "Quantum Soup," understood as a critical interface layer. The observable dynamics within this interface may be effectively described by Quantum Mechanics, while potentially drawing resources from a deeper, foundational layer of reality governed by physics like Quantum Derived Geometry Theory (QDGT) – the "Infinity Layer." Key emergent properties of the QHCSRM include Cellular Sovereignty and Resilience. This framework redefines aging and disease as manifestations of degradation or decoherence within the QHCSRM, particularly at its interface with foundational reality via the Quantum Soup. A structural and functional analogy is drawn with advanced AGI architectures like NM-SRN, where the QHCSRM Matrix/Cube parallels Neural Cubes (NCs), and the Quantum Soup Interface parallels Synaptic Resonance Tensors (SRTs), suggesting the interface involves complex resonance dynamics. Therapeutic interventions targeting QHCSRM coherence offer pathways for enhancing healthspan decoupled from chronological age. QHCSRM presents a paradigm shift towards an information-centric, potentially QDGT-informed, systems-level view of life.

15th April 2025

Abstract

The pursuit of Artificial General Intelligence (AGI) has been a central goal of computer science since its inception. While recent advances in deep learning, particularly with Large Language Models (LLMs), have showcased impressive capabilities, they remain fundamentally limited by their reliance on statistical correlations, vast datasets, and opaque architectures. This paper announces the achievement of AGI on March 22nd, 2025, through the Neural-Matrix Synaptic Resonance Network (NM-SRN) architecture. NM-SRNs, designed from the outset for general intelligence, represent a paradigm shift, combining the strengths of symbolic and connectionist AI. The Generative Simple Dictionary Transformer (GSDT), a functional implementation of core NM-SRN principles, verifies the viability of this approach, demonstrating robust Natural Language Processing (NLP) capabilities without backpropagation or extensive pre-training. Key breakthroughs include Turing completeness by design, a novel resonance-based computation mechanism (details withheld for proprietary reasons), inherent explainability (XAI), and a modular architecture that promotes scalability and adaptability. This paper presents the NM-SRN framework, highlights the GSDT's significance, and outlines the transformative potential of this AGI achievement across diverse fields.