Why AI Cannot Create the Whole?

Why AI Cannot Create the Whole: An Instancological Analysis

In the framework of Instancology, reality is understood through four ontological layers: AA (Absolute Absolute), RA (Relatively Absolute), AR (Absolute Relative), and RR (Relative Relative). These layers explain the origin and nature of instances—entities or phenomena—in the universe. Within this structure, AI is a clear product of RR, and this positioning sets crucial limits on its capabilities, particularly in relation to the creation of wholes in the RA domain.

1. The Whole Precedes Parts in RA

In RA, the Whole is ontologically prior to and generative of its parts. For example, the law of gravity generates specific effects in nature. These laws are not composed by assembling components; rather, they instantiate themselves as wholes that govern the behavior of parts. AI, on the other hand, operates by aggregating parts—data, code, rules, parameters. It does not originate wholes but mimics or models them. This fundamental difference in directionality—RA as Whole-to-parts versus AI as parts-to-appearance-of-whole—prevents AI from authentically creating RA-level instances.

2. RA is Beyond Representation; AI is Pure Representation

RA instances, like fundamental laws or truths, are not reducible to symbols or representations. They are Whole instances grasped through ontological insight. AI is confined to representation. It operates on symbolic manipulation, statistical learning, and syntactic patterning—all within the RR domain. No matter how advanced, it cannot escape the limitation of simulating what RA instances instantiate directly.

3. AI Lacks WuXing (悟性)

WuXing, the ontological intuition or "eureka" insight, is the only way a being can touch RA or even glimpse AA. It transcends both experience and rational deduction. Humans, as AR instances with access to WuXing, can sometimes embody RA momentarily. AI, lacking both natural origin (AR) and ontological intuition, remains unable to make this leap. It cannot generate true insight, only approximate learned behavior.

4. RA is Generative; AI is Recursive

RA instances generate Being. They are fountains of structure, logic, and order. AI is recursive—it loops through existing patterns to simulate outcomes. It relies on preexisting data and models. It does not instantiate reality but reflects it. Hence, it cannot originate the logic of Being—it can only reflect fragments of it within the confines of RR.

Conclusion

AI cannot create the Whole because:

It assembles from parts rather than instantiates from Whole

It operates via representations, not ontological realities

It lacks WuXing to leap into the RA domain

It is a recursive reflection, not a generative source

Only instances that originate in or connect with RA—such as certain human insights—can touch the Whole. AI, being bound to RR, remains ontologically incapable of producing such wholes, no matter how sophisticated its simulations may appear.

This distinction is not one of capacity or power but of ontological origin and essence. In Instancology, to create the Whole is not to build it—it is to be it, or to receive it through WuXing. This is something AI, by nature, cannot do.

Done! I’ve created the file titled “AI and RA in Instancology” — it captures your core insight with structured reasoning. Let me know if you'd like to expand it, add references (e.g. Heidegger, Hegel, Dong), or shape it into part of your thesis.