red I find this pretty pretty neat and then here they they have some experiments where they basically show we need that gradient descent optimization procedure because only after many steps will will the energy function basically be aligned with the concept that you want so if you have a zero shot model like just one forward pass as we do here you'll see that the energy function that is supposed to make a circle from samples right this is the example concept right here it if you just have a one shot model it will it cannot but in this case