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

Lance,

I wanted to thank you for your advice. Your argument about the need to define what words do versus what they should do is really powerful.

Following our discussion, I conducted a thorough semantic and functional decomposition of axioms 1, 2, and 3. My goal was to identify the exact “work” that each cluster of words performs in the latent space of the model—not as instructions, but as constraint operators.

I prepared a document that breaks down: Token-Level vs Functional Reality: What each word triggers mechanically. Functional rewritings: The actual “code” that these language layers apply.

Constraint topology: How A1, A2 and A3 work together to define, stabilize and then explore the reasoning space without losing consistency. I think this addresses your concern about the “flip-flops” and the “sea of information.” By defining the PCE as a constraint-induced semantic topology (CIST), I try to prove that the stabilization I observe is structural, and not only rhetorical.

I would be very curious to have your opinion on this “micro-analysis” approach. In your opinion, does this level of definition make it possible to clarify the system’s “calibration”? You can find the analysis for A1, A2 and A3 here:

Google Drive

Functional Semantic Decomposition - Google Drive

Best regards, Allan