The circuit on the pin head
Light crystal charge lane and data lane photon digital logic with light oscillation loop memory and very high thread analogue light processing cores. With the memory balanced between centralised and localised compute loops in 3D.
Each local loop does a high range of 6 bit bitwise block functions and piping along the loops per cycle.
Operating this is machine code compiled from Point code ASM.
On top of that an OS with an APPs menu, fully customizable Bot feed panel and search, web services menu and tabulated bot view accessible with a swipe at the task bar. Plus active task and task view and a system panel with system view.
Also there could be upto 1024 customizable backdrop possibilities working with augmentative backdrop bots.
Today very little has been done in terms of getting AI to say solve technical code issues.
With a stream function(Dynaveo) that checks through a rules stream, and code piece streams including re-coding code pieces and and the rules stream with realtime data output and input between main stream functions. like AI playing with code by adapting pieces of code and finding mathematical rules as it develops it's skills.
This is different to training a neural net to program its more like learning in pieces of logic to make a mathematical organism that can evolve to a state of a good optimal relative to code required. So like the mathematical organism becomes the code that would have taken 10 people 2 years to code.
It could be configured by a neural net.
It is this highly efficient algorithmic code development ability that could extend mans range and maybe be even one day lead to a better grasp of working with the issue of godel incompleteness logic at the infinite which can be worked on at a discrete level. Maybe some sort of infinity fabric derived by AI full of optimisation understanding for huge swedes of artistic and mathematical intrigue.