@gerrymcgovern @dogzilla Basically, the machine models need to “understand” their data. The only way for that to work is to establish a symbol composition scheme for nodal datasets and then a correlation regime for the symbols. This might be enough to manage the edge/corner case situations and allow the models to extrapolate and adapt.