The overwhelming bulk of vision research, regardless of discipline, has focused on the characteristics of the brain's first feedforward pass, from retina to the higher levels of interpretive visual areas. However, it may be that more interesting processes occur outside that pathway. Those actions may be the reason that vision has the generality of function that not only human, but perhaps many biological vision systems, enjoy. In this presentation, a theoretical argument will be presented to justify this assertion. Several examples will be shown of the functional breadth of those actions. Some seem to be automatic, others volitional. Certainly, few are externally observable and thus the currently popular data-hungry learning strategies might not be appropriate tools with which to gain a better understanding. Using our Selective Tuning model as a foundation, examples involving dorsal-to-ventral feedback for contour and shape, attentional selection and localization, attentional priming, fixation control, the role of saliency and network interference reduction will be shown. Further, recent human evidence for the broad impact of some of the model's predictions will be described. Together, these represent the beginning of a story that has the potential to explain the generality of vision as being the result of top-down or recurrent dynamic tuning of the basic processes of vision realized by the feedforward pass to enable their best performance for the task and stimuli of the moment.