course an empirical question that we're gonna study more so than a theoretical question and so what we're gonna do is we're going to compare mammal with with blackbox annotation approaches such as snail and meta networks and we looked at image Dominika image classification problem and we tried to plot the task variability versus performance and what we found consistently across the board is as we move away from the the Mediterranean tasks with either zero zero shear or a scale of 1 we see that of course performance drops for all