Machine learning without centralized training data
This is one of those announcements that seems unremarkable on read-through but could be industry-changing in a decade.  The driving force between consolidation & monopoly in the tech industry is that bigger firms with more data have an advantage over smaller firms because they can deliver features (often using machine-learning) that users want and small startups or individuals simply cannot implement.  This, in theory, provides a way for users to maintain control of their data while granting permission for machine-learning algorithms to inspect it and "phone home" with an improved model, <i>without revealing the individual data</i>.  Couple it with a P2P protocol and a good on-device UI platform and you could in theory construct something similar to the WWW, with data stored locally, but with all the convenience features of centralized cloud-based servers.