The $100 Billion Mistake: Why 90% of Multi-Sensor Data is 'Dark'—And the Zero-Interface Algorithm That Fixes Fusion Forever We are spending billions on ultra-sophisticated sensors for autonomous systems, from self-driving vehicles to robotics in the depths of the sea, yet we are truly flying blind. Underlying the elegant and sophisticated architecture of Multi-Modal Sensor Fusion is a collapse in the 'Dark Data' Problem. Dark Data not only means missing information; it is the $100 Billion Mistake of discarding data streams that do not agree, referring to these as 'noise', and thereby missing the key to genuine real-time reliability! If 9 out of 10 insights in your complex sensor array are 'missing', then how is it possible for the AI to really see into the Zero-Interface World? Today, we lift the veil on the consensus mechanism, the revolutionary algorithm that will finally turn sensor chaos into consistent perception and fix fusion forever. Points T...