This is the erdos problem that open AI is talking about finding a new bound for. The problem asks for the absolute maximum number of pairs of nodes that can be exactly one unit of distance apart from each other when you scatter n nodes on a flat surface. The model showed mathematicians that a highly irregular, complex pattern can hold far more matching distance pairs than a standard, symmetrical grid.
Doesn't this directly mean that this model can improve efficiency of a neural network?