The Royal Navy has hybrid fleet to describe its crewed and uncrewed future. But when the Army starts generating maritime effects using uncrewed systems, something different is happening that hybrid does not quite capture. I want to propose a term for it.
Cloud AI made a bet that data would flow to the model. In military operating environments that bet fails, for two distinct reasons. This post explains why, and closes a three-part series on the design principle that runs through every layer of defence AI.
The problem in defence software delivery was never really about distance. It was always about how much of the real problem survives the journey from operator to engineer. LLMs change what fidelity is achievable when physical proximity is not possible.