3 ms·

You are focusing on the trivial narrow case, which is not where the value is. The broad case is reproducing a real-time mirror of some part of the planet in arb

You are focusing on the trivial narrow case, which is not where the value is. The broad case is reproducing a real-time mirror of some part of the planet in arbitrary detail from data. Reality running on a computer. Nothing you are talking about addresses that. I know all of this tech, I’ve worked with it operationally across many industries. At its core, spatial computing is about queryable reality. 3D scanning of objects, AR/VR, etc are all adjuncts to this. They are ways of consuming the data model or synthesizing non-real parts, not creating the base model of reality. The latter is the hard part, the rest doesn’t matter in the big picture.

rsp1984 6y ago
Believe it or not, but I've also been working first hand with this tech for a long time. As in, actually developing the underlying engines. What you describe is a broad vision that may or may not happen at some point in the future. I agree about the queryable reality part but disagree that AR/VR, 3D scanning etc. "don't matter". Because in a lot of real-life use-cases you don't need the "real-time 3D mirror" but instead can get 80% of the value with something 10% as complex.