[ggrrhh_ta]

I know I can be mistaken (I would never take any amount any way, finding out the true emergence of the arithmetic capabilities of the network would be a price that outweights any sum of money, even if I am enormously mistaken), but I want to raise the point so that it is in the back of our minds. It it were a "simple" backpropagation network, it would not be surprising that it is just solving arithmetic by "finding out the formula" (fitting) to sum from base ASCII to base ASCII (as long as the output is not longer than the ones from the training sets). The dataset certainly has an influence, but I would argue that you can learn very good arithmetic with very small datasets. Also, if the training process would use different operations I would argue that, as long as it fits polynomials well, should be able to solve arithmetic in ASCII within bounds (would not generalize well to numbers of lengths longer than it was trained with).