Both. Attention changes the source. Action interacts with the source, modifying it. But the environment will need to respond back. This is reminiscent of reinforcement training but is more traditional NN except where the input is dynamic and evolving with every batch not only in response to the agent but in response to differential equations or cellukar automata / some type of environment evolution. AGI should be able to change the environment in which it inhabits. Attention in some respects is a start - it is essentially equivalent to telling reality to move the page and watching it happen. Until we have attention AND data modification, we will keep getting the specialized NN we are used to.