there is a point though in having as much data as possible for trainig and learning purpose. Even with a locally installed AI, it will need to be trained on re

there is a point though in having as much data as possible for trainig and learning purpose. Even with a locally installed AI, it will need to be trained on real and up to date data, it needs feedback on what was well recognized and on which data it failed, etc. the training and update cycle can be done on an individual basis, but having a distributed system sharing a huge set of varied data would accelerate the process exponentially. Ideally training data shouldn't be stored once it is ingested by yhe AI, but we'd need at least interconnected AIs dharing data from different users