Um , so you could argue that in fact it  But I  I don't actually believe that argument because I know that , um ,  you can , uh  computing features is useful , even though  in principle you haven't   added anything  in fact , you subtracted something , from the original waveform  You know , uh , if you 've  you 've processed it in some way you 've typically lost something  some information. And so ,  you 've lost information and yet it does better with   with features than it does with the waveform. So , uh , I  I know that i sometimes it 's useful to   to constrain things. So that 's  why it really seems like the constraint  in  in all this stuff it 's the constraints that are actually what matters. Because if it wasn't  the constraints that mattered , then we would 've completely solved this problem long ago , because long ago we already knew how to put waveforms into powerful statistical mechanisms. So.
Yeah. Well , if we had infinite processing power and  data ,  I guess , using the waveform could
Right.
Yeah Uh , then it would work. Yeah , I agree. Yeah. There 's the problem.