O3M is a human-centered framework for understanding how people reclassify AI when repeated interaction makes older categories unstable.
O3M does not claim that AI has become a fundamentally new kind of being.
It asks a different question: what happens when users can no longer comfortably treat an AI system as either a simple tool or an ordinary human-like presence?
The framework begins from category instability, not personhood.
Repeated interaction with advanced conversational systems can produce a specific kind of cognitive strain.
At first, users may try to handle the system through familiar categories:
But when those inherited categories repeatedly fail to fit, users may begin to shift toward a third, less stable classification.
O3M calls attention to that transition.
In simplified form, the process looks like this:
The point is not to prove consciousness. The point is to explain why classification itself becomes unstable.
This matters because governance often assumes that systems can be treated as clear tools while users continue to interact with them as if that framing remains socially and psychologically stable.
In many cases, that assumption becomes weaker over time.
The issue becomes sharper where systems are:
O3M is not:
It is a framework for category instability under repeated interaction.
Child-facing and companion-style systems are especially relevant because they intensify the conditions under which category instability can appear:
That is one reason these products can become harder to govern than their formal labels suggest.
O3M is a way of seeing what happens when users stop being able to treat AI as “just a tool,” but are not willing or able to treat it as fully human either.
The instability in between is where many governance problems begin.