Futurist: My Machine Intelligence Learning model

Please note, the model applies to accessing the intelligence of Machine Intelligence systems.

?Common argues that the next phase of intelligence advancement is where, at times, human beings fall prey to reality or the extraction of information. I'm not saying human beings cannot do this completely; they can. The abstraction of the information presented to them often causes human beings not necessarily to consider more than the simple reality. You see, we teach humans that 3+3 is six. But 3+3 is not six. The argument the conversation that has to be had is around the concept of what it is that 3+3 represents if we consider them three apples and three oranges represent six fruits but does not represent six applicants. The six brews remain the manifestation. In the endgame, but with advanced intelligence, you can consider the questions that must be asked again to quote the logical song from the band Supertramp. These questions run too deep for such a simple man. Or, in this case, these questions run too deep for such a simple machine intelligence.

?Each level, as denoted in the graphic, now has specific capabilities. The concept of "aware" computing or "aware" machine intelligence will support the long-term "thinking machine" in this aware state or beyond, which will encompass what has become known as AGI—a point of clarification around development. One of the areas in machine intelligence that helps users today is the area of code production. This is the MI searching an existing code library (such as Git. hub) and returning code to fix an application development issue. The Machine Intelligence in the aware phase won't generate net new code. It will reuse or repurpose existing code. Most importantly, the limiter for this will be the reality of MI coding its code base.

It's important to clarify that Aware Machine Intelligence will play a significant role in its own development. This means that the MI/AI will be actively involved in building the code base. While it won't auto- or self-program the code in that base, its participation is crucial.

Advanced machine intelligence will cognitively build down code. Instead of seeing a problem and telling the humans, the Machine Intelligence will code itself. Advanced machine intelligence will be able to build and modify the code comprised of the intelligence system. Additionally, Advanced machine intelligence can add data sources without human intervention. I suspect this would likely need to be a significant guardrail that should be in place before we leave the aware phase of the cognitive model for Machine Intelligence.

Upon reaching the advanced cognitive step in the MI Copitive framework, machine intelligence will build non-human machine intelligence. I am using It as I do not wish to assign gender at this time; that would be the choice of the Machine Intelligence, not me. It would commence building new code that would result in a reworked or new intelligence. This new intelligence would not always think like a human; from that, the core name is non-human for that cognitive level. This intelligence system could often leverage non-human-derived thinking processes. In building the new code, the advanced intelligence may realize that the limits of human thinking don't have to be applied to this new intelligence.

To summarize, the conceptual intelligence model for Machine Intelligence consists of three phases: Aware, Advanced, and Non-Human. Awareness is the most straightforward phase for us to measure, while the others are more complex.

Aware AI:

• Works in a supportive rule or augmentation role of a human completing a task
• Aware Machine Intelligence can provide code or application development support at the request of a human being.
• Is limited by the existing data sets (does not add new data sets)

Advanced AI:

• Works in an independent mode, including without any human interaction (space travel)
• It can develop code on its own. This includes the ability to create code for itself to consume.
• Can add new data sets

Non-Human AI:

• Fully independent may not have human input at all
• Can refine, develop, and create new code
• can add new data sets without limits.