New Paper Released: The Meaning Integrity Threshold (MIT)
Across every AI-enabled mission set, one failure pattern keeps repeating:
systems don’t break at the output layer - they break at the meaning layer.
Before drift is visible, before a model appears “wrong,” the interpretation layer has already started deforming under load.
And until now, there has been no doctrinal tool for measuring or stabilizing that layer in real time.
The Meaning Integrity Threshold (MIT) fills that gap.
This paper formalizes MIT as an operational threshold for assessing and stabilizing the coherence of human–machine meaning under pressure. It defines:
- the variables that govern meaning stability
- the physics of drift velocity and substrate deformation
- the early signatures that predict interpretive failure
- a mission-ready Operator Sheet for real-time assessment
- integration pathways linking MIT → MCI → MST → CIOP
MIT is designed for analysts, operators, and commanders who need to know one thing:
Is the meaning layer stable enough to trust the system?
If not, MIT gives them the tools to halt, recalibrate, and restore interpretive integrity before downstream errors emerge.
This is doctrine, not commentary - a framework built for contested, high-ambiguity environments where coherence is a survivability factor.
Full paper attached.