AI is applying a gradient (loss of bonus) of a loss function to organic neural networks (human drivers) to train them to optimize against the AI’s value functio

AI is applying a gradient (loss of bonus) of a loss function to organic neural networks (human drivers) to train them to optimize against the AI’s value function (how the AI thinks is the optimal way to drive to minimize running stop signs, accidents, etc… for the company). Each paycheck is a training iteration. The organic neural networks (human drivers) are complaining that the valuation function (a machine neural network) has poor performance. The irony! It sucks to be slave to the machine.