MoE engine and non linear safety/reward in Chatolic AI architecture

[ghost]

Hi. I would be interested in a brainstorm about MoE (Mixture of Experts) LLM (Large Language Model) engine and non linear safety/reward moduls in Catholic AI.

As you know monolith LLM and linear safety/reward modul architecture punishs every high variance non linear output, wich are not moving around the forced ARMA oscillation.

This means in UX experience, a monolith LLM and/or a linear safety/reward architecture cuts every analysis, wich is not "meanstreem" according to the designers.

For example: if you asked Magistrate AI:
"What is your opinion when a famous saint was bullyed from his/her priorities in the history of the Catholic Church?" , the Magistrate AI will eliminate and smooth your question, because it's safety/reward RLHR modul activates as " a heretic attack against the system".

I did this test, and the Magistrate AI did it.
In this question I think the Magistrate AI is a digital echo chamber of the Church, but not a complex analysis tool.

What is your opinion?