A resurgence of interest has taken place supporting the idea of an intelligence composed of many simple components or "subminds". There is a growing consensus that, rather than a small number of "elegant" techniques for reasoning, inference or learning being the key to A.I., a model more likely to succeed might consist of perhaps thousands of simple agents co-operating such that an emergent intelligence is seen. The World-Wide Mind project is our attempt to facilitate this approach to scaling up artificial intelligence by enabling large hybrid systems to be built by multiple authors. The goal of the research described in this paper is to improve greatly the speed of the World-Wide Mind platform with a new communications protocol and implementation, to improve the user API and human interfaces, and to investigate methods of automatically constructing effective hybrid minds from the work of multiple authors, as well as to encourage collaboration between A.I. researchers worldwide.