um to a subpart this kind of neighborhood attention okay but that was still you know you still have m squared you still have o of m squared because of the attention mechanism now what we are doing is we are going even lower we're actually going one by m okay this this is with with axial attention so in general it's one by m and then in the next layer we can go one by m in this direction and have that property um and because it's so cheap now right because it's now o of m to compute this we might as well make