in the same direction but they're steep in different places at this point it's no longer possible to describe the equilibrium with just a single loss function and the motivations for this particular cost are far more heuristic we don't have a good theoretical argument that this place is the Nash equilibrium in the right place but in practice we see that this cost function behaves similar to the minimax cost function early in learning and then later in learning when the minimax function would start to have trouble