[PeterisP]

"An enormous hyperparameter search and lots of elbow grease to carefully tune that dynamical system" i.e. the classic GDGS (gradient descent by grad student) approach where you have a grad student train a system, decide in which direction the parameters should be updated (i.e. look at the gradient), tweak the system and repeat until convergence.