Update README.md

README.md

@@ -7,6 +7,10 @@ I'm currently working out a way to negate the need for backprop by integrating e
 but the process isn't immediate. David WORKS because of feature compatability, so enabling education with this 
 compatability into other systems is paramount to rapid learning.
 
+Eliminating full backprop will be a very time consuming and systems rigorous refactoring of each mathematical element into flow-geometric diffusion.
+This will enable a new realm of experimentation and present it's own optimization issues, while simultaneously eliminating a large experimental
+overhead that backprop requires due to the hierarchical climb and return structure.
+
 This version was using the older geometric vocabulary system as a preliminary test and it didn't do very well.
 The next will feature a fully robust cantor stairing system with the vit-beatrix cohesion and full learning k-simplex cantor stairway embeddings.