Ongoing research into large knowledgebases

For the last 4 or 5 years I have been working to give my artificial intelligence A.s.a. H. as large a knowledgebase as possible. (Large knowledgebases are quite opaque. My blogs of 1 October and 5 November 2015 represent only some fraction of what's been learned, a fraction that can be easily interpreted and translated into english.) That has involved a sizable portion of some one hundred sensory input channels in addition to vision. (As with humans, visual input can easily dominate the data bandwidth. See my early blog of 13 June 2013.) This currently runs on a 4 computer cluster with over 5 terabytes of memory. The intention has been to try to get Asa to understand the real world and function in it. As we try to scale to larger size we'll see if we really have the attention problem solved.