I uploaded a background image for this project that I found on Wikipedia.  The original source can be found at https://en.wikipedia.org/wiki/File:Delta-Sigma_schematic.svg, which also contains the copyright information which states that that particular image is made available under a Creative Commons License.  For use with this project, I converted the file to jpeg and cropped the image to better fit with the way that Hackaday seems to want to further scale and crop whatever you upload for display purposes.

Later on, I will be creating a new project on GitHub entitled Code Renaissance which I am thinking will become a repository for some classic AI stuff, as well as other material that might be useful.  Thus one approach that I might want to try is to obtain the source code for the classic chatbot MEGAHAL, and then modify it to make use of the modified Tensor flow style evaluator which I have described so far, i.e., by attempting to use sigma-delta modulation as an "intentionally noisy" ALU that can be run with reasonable efficiency on any microcontroller.

Now as it turns out, the Parallax Propeller P2 chip might be ideal here, since it is capable of performing sigma-delta analog to digital conversion on all 64 pins, which seems to suggest that implementing some kind of simple neural network might just be a matter of choosing some pins to act as outputs, and some to act as inputs, and then tie a group of outputs together via resistors, and let them feed into some of the other pins which could be used as inputs.

Then we can attempt to implement some of the classic neuronal topologies, like Hopfield, feed-forward, back-propagation, adaptive resonance, etc., in addition to the contemporary transformer model.  How that might fit into creating a Chat-Bot which can act as a personal assistant or provide some "simulated companionship" remains to be seen, but nonetheless, such a project seems very doable.