I asked GPT$ to come up with brand new science around the idea that we humans are actually many “minds” in one, and how that might translate into creating much more capable AIs out of the already incredible GPT LLMs. Mostly because I was curious what she would say, but also because I hoped it would clarify my thinking around the architectural framework we are starting with at MetaMinds.app.

Thinking Clarified. I am more convinced than ever that this is the way. *I asked it to design an experiment to test all this this morning, it nailed it AND we’ve basically already run the experiment and we know it works. HAPPY THURSDAY IN THE AGE OF AI!

ME:
Can you create a brand new scientific theory around how humans think that could translate to creating super powered AI that is called "Many Minds Theory" please?

GPT4:
Many Minds Theory: A Framework for Collective Human Intelligence and Super Powered AI

Introduction:
The Many Minds Theory (MMT) is a novel scientific approach to understanding human cognition that could pave the way for creating super-powered artificial intelligence (AI). It is based on the premise that human thinking can be best understood and replicated in AI by modeling it as a dynamic collaboration between multiple cognitive entities, called "minds", each with unique skills and perspectives.

The Components of Many Minds:
The Many Minds Theory posits that human thinking arises from the interaction of a multitude of cognitive entities, or "minds," each with specialized capabilities. These minds can be thought of as a team of specialists working together to solve complex problems. The MMT identifies four primary categories of minds:
a. Analytical Minds: These minds excel at logical reasoning, problem-solving, and abstract thinking.
b. Emotional Minds: These minds specialize in processing and generating emotions, empathy, and social intelligence.
c. Creative Minds: These minds are skilled in divergent thinking, imagination, and generating novel ideas.
d. Memory Minds: These minds are responsible for storing and retrieving information, both short-term and long-term.