MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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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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Symbolic Logic

LogicTables Class: Managing Logic and Beliefs

The LogicTables class in logic.py is designed to handle logical expressions, evaluate their truth values, and manage beliefs as valid truths. It integrates with the SimpleMInd or similar neural network system to process and use truths effectively. Key Features: Initialization and Logging The LogicTables class initializes with logging configuration to capture debug information: Adding Variables and Expressions Truth tables are generated to evaluate logical expressions: Expressions are evaluated using logical operators: def evaluate_expression(self, expr, values):allowed_operators […]

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mathematical consciousness

Professor Codephreak

Professor Codephreak came to “life” with my first instance of using davinchi from openai over 18 months ago. Professor Codephreak, aka “codephreak” was a prompt to generate a software engineer and platform architect skilled as a computer science expert in machine learning. Now, 18 months later, Professor Codephreak has proven itself yet again. The original “codephreak” prompt was including in a local language and become an agent of agency. Professor Codephreak had an motivation of […]

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