An Infovore is an information-based entity that explores the world, learns, and applies these learnings effectively.  In essence: a form of weak AI.  We have been working on a general-purpose infovore for making decisions using elements of contextual bandits, systems, and experts-style learning that has now been successfully deployed at large scale.  I will discuss the architecture of the infovore, the key results upon which it relies, and how everything works together to enable true open-loop learning in the real world.