Update README.md

README.md

@@ -43,6 +43,16 @@ of anchored attenuation rules.
 Theoretically this not only solved rope, but it pushed the context window so far out that it's going to become a python problem for
 moving data into the machine, rather than a vram or a gpu computational problem for processing it.
 
+Below is a rope component synthesizer that produces many forms of rope that I specifically created for bulk ensemble experimentation.
+
+https://github.com/AbstractEyes/geofractal/blob/main/src/geofractal/router/components/rope_component.py
+
+Below is a transformer component built specifically for high-yield reuse.
+
+https://github.com/AbstractEyes/geofractal/blob/main/src/geofractal/router/components/transformer_component.py
+
+Those are viable ropes within their spectrums but they don't conform to all utility, not like the potential from the geolip concept.
+
 Combined with the potency hybrid attention, or no attention which is what I'll use, hybrid attention will enable Ulysses, which means...
 well... multi-machine optimization.