What will change when we can encode spaces as we do language? I think that a language for universal description of spaces already exists. Bitmap images mapped to 3D geometry–and represented digitally–can be used to describe all physical space. Inventing a different means to ideally represent this data is a more significant task than the sum of the incremental improvements required to render 3D scenes photo-realistically. This is to say that the alphabet for describing spaces already exists; the descriptions we create using this alphabet are simply lacking in inarticulate, and the descriptions themselves are scarce because the technology and human effort required to create them is costly. The ability to encode spaces with minimal human effort and inexpensively store the the space’s representation will be one of Deustch’s “incremental improvements in a system of knowledge or technology [that] causes a sudden increase in reach”. Creating more precise and meaningful navigation and surveillance software is an obvious application of such a reach. When computers can store photo-realistic representations of physical space and also identify discrete geometric forms or images as objects, many industries will be disrupted, particularly automated manufacturing.