So you have a low middle and high dimensional tensor array trained through random bias seeding in order to use a very large data library compiled by another trained mind using say a 10D tensor array.
This AI is trained so that once trained it can through inference some training calculating and recompiling and generating new data insights the AI replaces itself with a dataset rebundled utilising all bias Dimensions from 4 to 14 for data relative to task dimensional efficiency. It also recompiles the library for a better fit what this AI bundle can do is generate bots through mainly inference from upto 256,000 3 paragraph long parameters within a technical communication dynamic including to some degree english.
This mother load running in the cloud compute infrastructure could be well maintained and optimized by loads of top people and we'll regulated we need real personal assistants ect to work well with computers we don't need that ai ruler thing. This all the mother load does is with programming spawn task range bots in a well kept and regulated space it doesn't need to be alive deciding life.