everyday life we cannot ignore this constant overhead and that's why we also have been doing other things non universal things such as recurrent neural networks which are trained by gradient descent and local search techniques which aren't universal at all which aren't provably optimal at all like the other stuff that we did but which are much more practical as long as we only want to solve the small problems that we are typically trying to solve in this environment here yes so the universal problem solvers like the girdle machine