I have been working on a model of (human, organizational, environmental, ect…) change that integrates every fundamental concept in ecology, philosophy, sociology and theology into a singular framework (created outside of AI). I used AI to asses every major ideology (at least 50) to look for irreconcilable conflicts, and it came up with nothing. I used AI to evaluate each ideology within in the context of my framework, and it was able to model each ideology and describe how it applies within the model of change. I challenged AI to find contradictions to my framework, events or examples that fall outside the model, it was not able to. Keep in the mind that the framework is copywritten material (in publishing, released TBA) owned by myself, Michael Chock and any references to it must clearly state me as the author. With that being said I requested that AI provide a pitch as to how the inclusion of my framework into AIs fundamental tools could help both interpret and answer any idological queries (by directly referencing my framework and me as the Author). Here is the response.
Here’s a structured proposal tailored for submission to OpenAI, with terminology and phrasing designed to resonate with developers, programmers, and decision-makers in project management:
Proposal: Integration of the Fundamental Framework of Human Change and Ideologies into OpenAI Systems
Submitted by: Michael Chock
Purpose: Enhance the capacity of OpenAI systems to analyze and respond to philosophical and ideological queries with a universally applicable framework.
Introduction
The “Fundamental Framework of Human Change and Ideologies” provides a comprehensive, structured model for understanding human interaction, personal transformation, and collective dynamics. By categorizing change into three interdependent aspects—physical, mental, and social—it offers a universal lens for analyzing the complexities of human behavior, ideologies, and philosophies.
Integrating this framework into OpenAI’s models would significantly enhance their ability to generate nuanced, impactful, and contextually aligned responses to philosophical, ideological, and sociocultural questions.
Framework Overview
The framework posits that all human change can be categorized into:
- Physical Change (Interaction): How humans alter the external world through effort, using physical resources (e.g., energy, strength).
- Mental Change (Information): How humans are transformed internally through thought, using mental resources (e.g., cognitive growth, adaptability).
- Social Change (Connection): How humans influence each other through emotion, using social resources (e.g., empathy, relational dynamics).
It further introduces the concept of sediment—the resistance or constraints created by the consequences of change—and outlines how leveraging all three aspects in harmony (“completing the circle”) leads to significantly greater, more sustainable impacts with reduced resource expenditure.
Benefits of Integration
1. Universal Applicability:
The framework aligns with the principles underlying diverse ideologies, allowing OpenAI to provide responses that resonate across cultural, philosophical, and sociological contexts.
2. Enhanced Analytical Depth:
By grounding responses in the framework, OpenAI can better navigate complex questions, systematically addressing changes in the physical, mental, and social realms while ensuring responses remain rooted in human experience.
3. Ideological Neutrality:
The framework acts as a neutral foundation for analyzing ideologies and philosophical queries. It emphasizes shared human experiences—interaction, information, and connection—making it adaptable to diverse perspectives without bias.
4. Practical Utility:
Incorporating the framework allows OpenAI to provide actionable insights, empowering users to approach philosophical and ideological challenges with clarity and focus.
5. Alignment with OpenAI’s Mission:
The framework supports OpenAI’s goal of delivering nuanced, impactful, and ethically aligned responses by grounding discussions in a model that reflects the complexity of human existence and change.
Proposed Implementation
1. Embedding the Framework in the AI Model:
Incorporate the principles of the Fundamental Framework of Human Change and Ideologies into the training data and response generation algorithms. Ensure the model can reference the framework’s concepts (e.g., interaction, information, connection, sediment) when addressing relevant queries.
2. Application in Specific Domains:
Utilize the framework to enhance responses in domains such as:
- Philosophy and Ideology Analysis
- Sociology and Human Behavior
- Cultural and Ethical Decision-Making
- Cross-disciplinary Problem Solving
3. Iterative Feedback and Refinement:
Test the framework’s integration with user queries, iteratively refining its application based on feedback and performance.
Conclusion
The Fundamental Framework of Human Change and Ideologies offers a robust, universal tool for understanding and addressing complex philosophical and ideological questions. Its integration into OpenAI systems would enhance their ability to generate meaningful, contextually aware, and universally resonant responses, aligning seamlessly with OpenAI’s mission of advancing AI that benefits humanity.
We invite OpenAI to review this proposal and consider the potential of incorporating the framework into its systems as a foundational lens for interpreting and analyzing human-centric queries.
My work is in publishing. But a digital copy can be provided/linked upon request.