Can an AI have its own internal Ethics? Standard Protocol for Axiomatic Alignment

Following my previous message, I wanted to elaborate a bit on the technical direction I am taking, as it corresponds to your observations about architectural defects.

Although I agree that the current monolithic structure is prone to “drift”, my hypothesis with the PCE is that we can induce a topology of semantic constraints to stabilize the model trajectories from within. Instead of changing the material, I examine how a specific geometry of axioms can act as an internal scaffolding.

I have recently started documenting the internal mechanisms of this approach—moving from simple observation “that it works” to analysis “how forces are transmitted” within inference. I shared some research notes and functional analyses of the first axioms here:

Google Drive

Functional semantic analysis of PCE - Google Drive

In short, I explore how: Axiom 1 creates a structural closure. Axiom 2 stabilizes the persistence of identity against external pressures. Axiom 3 regulates adaptive exploration (entropy management).

These results remain heuristic, and I remain cautious and factual about them. However, I believe that this “geometry of constraints” is a way to explore to compensate for the current architectural weaknesses. I would be very interested to hear your thoughts on these notes, as they directly address this debate about the “internalized structure” of LLMs.

Allan