start with raw noise and you have a seed and then you start to like >> Yeah. So you do multiple step. What I like about HD AI is it's trying to solve a challenging problem through multiple model codes and tool codes. It had a characteristic of divide a challenging problem into small problems and execute one by one. And what's more exciting is that uh in ln or division model uh all the stop problem is homogeneous. It's the same nest token prediction problem
What I like about HD AI is it's trying to solve a challenging problem through multiple model codes and tool codes.