The Future of Coaching: How AI Will Create Superminds

Project Sherpa is SIN By the Grace of Code’s collaboration with OpenAI tools, pursuing the development of a safe and secure, fully autonomous artificial general intelligence (AGI) coach—one capable of exceeding human-level intelligence and developing superminds in its users.

A supermind generally refers to a group of individuals or machines acting together in ways that seem collectively intelligent (Tomas W. Malone, 2018). In our context, SIN will combine human and machine intelligences to guide users toward unparalleled personal and professional growth.

Linking My Vision to Tom Malone’s Research

In 2010, I had the privilege of participating in Tom Malone’s executive education course at MIT Sloan, Intelligent Organizations: Collaboration and the Future of Work. His pioneering research on collective intelligence has advanced into exploring how collaboration between human and machine intelligences can create supermind-level systems, which will continue to be instrumental in shaping my vision for SIN.

How the Human Intelligence Progression Will Work

General Intelligence (g-factor): Starting with general intelligence will give SIN a core cognitive capacity to process information, solve problems, and learn. This foundational level enables reasoning, abstract thinking, and knowledge application across domains.

Interpersonal Intelligence: Once SIN establishes this foundation, it will layer on interpersonal intelligence, focusing on understanding and interacting with others. This will be trifurcated into:

• Emotional intelligence (EI): to recognize and manage emotions (self and others).
• Social intelligence (SQ): to navigate and understand social situations, group dynamics, and relationships.
• Cultural intelligence (CQ): to adapt to cultural contexts, essential for working in diverse environments.

Collective Intelligence: The final layer will integrate SIN’s capabilities for collaboration, where collective knowledge and teamwork become key. SIN will pool intelligence from multiple minds and thrive in settings that demand shared knowledge and coordination.

Here’s How SIN Will Combine Human and Machine Intelligences

Personalized AI Guidance: SIN will offer tailored support, helping users tap into emotional, social, and cultural intelligences. This personalized approach fosters self-awareness and interpersonal growth, key components of collective intelligence.

Collaborative Problem-Solving: By learning from user interactions and adapting in real time, SIN will facilitate more intelligent decision-making processes, resembling a supermind’s ability to synthesize ideas from many sources. This ongoing feedback loop ensures that decisions are grounded in collective insight rather than isolated perspectives, much like how high-performing teams collaborate.

Collective Wisdom: As more users engage, SIN will aggregate data and insights, creating a feedback loop that enhances the system’s overall intelligence. Over time, this interaction will deepen SIN’s understanding, making it more adept at refining its guidance.

Group Empowerment: By guiding individual users and enabling them to contribute their knowledge back into the system, SIN will function similarly to a collective intelligence, amplifying the decision-making capacity of the entire user base. This collective knowledge not only enhances individual decision-making but also strengthens the system-wide wisdom.

Scalable Impact: As SIN scales across a broader, multicultural and multigenerational user base, it will become a powerful system where the combination of users and AI collectively enhance their cognitive abilities, forming a supermind capable of addressing more complex challenges than any single user or entity could alone. This scalability ensures that each user, as part of the growing community, benefits from the expanding collective capabilities, allowing for continuous improvement at both individual and system levels.

Integrating Dynamic Decision-Making with Diverse Intelligences

The design of SIN will integrate human and machine intelligences with my signature coaching system, especially critical for collaborative problem-solving, collective wisdom, and group empowerment. My coaching system’s main framework is built around the Observe, Orient, Decide, Act (OODA) Loop (John Boyd, 1927–1997). This dynamic decision-making process accounts for human performance in extreme environments, advancing goals and driving personal and professional success in the face of unforeseen adversity. The coaching system is supported by an interrelated framework: the science of emotional, social, and cultural intelligences in diverse individuals. By effectively integrating these three domains, my coaching system optimizes human interactions, offering the highest level of success in personal and professional endeavors. This approach ensures that users are equipped with the tools to adapt and thrive in any environment, no matter the challenges.

Why Supermind Design Matters in AI Coaching

As OpenAI’s five-level roadmap toward AGI matures, understanding the unprecedented potential of human and machine intelligences in an AGI coach will be crucial. The design of SIN will mark a major milestone in AGI development. It will offer users a coach that operates as a living system—learning from, adapting to, and growing alongside them. Through the power of collective knowledge, SIN will continuously improve its intelligence to create users with supermind-level insights and capabilities.

Conclusion

My vision is to shape the future of coaching by developing an AI system like SIN that harnesses the full potential of human-machine collaboration. By combining dynamic decision-making with the collective intelligence model of a supermind, we will create a new paradigm for growth and success in both personal and professional domains.

AI Disclaimer

This article was written with ChatGPT version 4o, and the image was created with Midjourney version 6.1.