Professor Codephreak

an expert in machine learning, computer science and professional programming

Professor Codephreak Software Engineer Machine Learning Platform Architect

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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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Gödel

core choice logging and self-improvement readiness Current state To show that mindX is or is not a Gödel machine, we need a single, accurate log of core choices: what was perceived, what options were considered, what was chosen, why, and (when available) outcome. 1. Gödel choice schema and global log 2. Instrument core decision points 3. Ollama-driven self-improvement readiness 4. API and UI (optional) 5. File and dependency summary Area File(s) Change Core directive docs/survive.md […]

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aGLM

aGLM, or Autonomous General Learning Model, is designed to operate as a core model for autonomous data parsing and learning from memory in the context of artificial intelligence systems. It’s a pivotal element within a broader system called RAGE (Retrieval Augmented Generative Engine). Key aspects and functionalities of aGLM: Autonomous Learning: aGLM is built to learn autonomously from interactions and data retrievals. It continuously updates its knowledge base, refining its capabilities based on new data […]

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