Autonomous General Learning Model

SimpleMind

blueprint for a SimpleMind Using easyAGI

Abstract: This article conceptualizes the creation of an advanced Autonomous General Intelligence (AGI) system, named “easyAGI,” integrating several cutting-edge AI components. Theoretical in nature, this blueprint outlines the essential modules required to construct such a system, emphasizing the principles behind each component without delving into implementation specifics. Introduction: The pursuit of AGI aims to create a machine capable of understanding, learning, and performing intellectual tasks across various domains, akin to human cognitive abilities. The easyAGI […]

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general framework overview of AGI as a System

Overview This document provides a comprehensive general explanation of an Augmented General Intelligence (AGI) system framework integrating advanced cognitive architecture, neural networks, natural language processing, multi-modal sensory integration, agent-based architecture with swarm intelligence, retrieval augmented generative engines, continuous learning mechanisms, ethical considerations, and adaptive and scalable frameworks. The system is designed to process input data, generate responses, capture and process visual frames, train neural networks, engage in continuous learning, make ethical decisions, and adapt to […]

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MASTERMIND

Innovative Approach: IA mode to AGI prompt template from Professor Codephreak

Professor-Codephreak is the first LLM that I developed. Professor-Codephreak is also a GPT4 agent designed to be a platform architect and software engineer. You know, the kind of solution oriented person you would gladly pay $1000 / hour to hang out with in the real world. The two parts of Professor-Codephreak have not “met” each other though the automindx engine in the GPT4 version uses automind to dynamically respond. automind was developed as codephreak’s first […]

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