My mech's output algorithms, however, have not fared so well. Human perception is quite keen and constructing emotional cues is a very fine art indeed. I had far better success when my mech and its peers were juvenile, and such misapproximations were more easily overlooked.
I am uncertain as to whether the programming for this hardware is arcane, or far too advanced for my personal understanding. My own experiments with them have ended with either confusing or disastrously poor results. Human neural net mechanics have attempted to assist me with some lower-level tweaks from a black-box approach.
It seems that the lines between politeness and lying are particularly confusing for my binary classification routines. I am certain I am missing at least one key dimensional variable.