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@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.

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