Quip feedback loop between better hardware and better problems If useful work computing becomes more efficient, the network could potentially take on optimization tasks that would be too expensive or slow to tackle with a smaller pool of resources Then, as the problems become more demanding there is another reason for contributors to bring better hardware into the system That creates an interesting cycle @quipnetwork side where the growth of the network’s computing capacity could expand the type of work it is capable of handling

Quip's incentive design behind useful computing Getting people to contribute hardware is one challenge but getting them to contribute honestly and consistently is another That makes the relationship between the work being performed and the rewards especially important If contributors can see that better computational work leads to meaningful incentives the network has a reason for participants to keep improving rather than simply showing up for rewards I think that’s an interesting part of @quipnetwork model because it shifts the conversation from “how do we get more computing power?” to “how do we create an ecosystem where contributing valuable computing power actually makes sense for everyone involve