Hypotheses on Assistive self aware ai

 There is a reason for my constantly referring to multiple architectures and certain operating systems

 Aarch64 is used because of cost not functionality and efficiently

 The bad systems are an entire self contained is which has the kernel run at a minimum of 1.5 times that of Linux at less then 1/2 of the overhead for necessary services. It is easier to allow functions to usted which would ru. Different functions. Deontology programmed as probability functions combined with access too the ai a virtualized environment o the database servers would allow the ai to work problems in a sandboxed environments. Still, I have not seen anyone combine different systems along with quantum computing and fuzzy logic. This would create an ai capable of self correcting its own example database which could be accessed by students. Adding rules to ur with psychology and sociology Plus realistic examples with deontology would be the beginning of self awareness. The matrix math functions with algorithms in multiple levels would allow lateral injection and professing. The sparc 64 professor as the basis for the TPU would allow accessing and processing of terms and others llm data faster. I do not know what the Intel my neurochip functions,

because if I did then I would be able to set up the process prior to the algorithm .

It will need to be able to choose x function based upon comparison analysis and application.