Muhammad Laraib Khan

The Great Amnesia: Why the AI Industry Is Winning the Wrong Race

Every frontier laboratory is racing to make the system smarter. None is racing to make it remember. That is not a gap in the market. That is the market. Four years of capability gains have not moved the rate at which organisations put artificial intelligence into production. The...

Continuous Mission Intelligence: An Architectural Requirement for Coherent Command Across Heterogeneous Autonomous Systems

Defense artificial intelligence has advanced quickly across four layers: operational data integration, command and control, fleet-scale coordination, and platform autonomy. This paper argues that the success of those layers has produced a distinct problem that none of them addres...

The Great Amnesia: AI Agent Memory as the Binding Constraint on Autonomous Systems in Enterprise and Defense

Frontier model capability has improved rapidly for four years while the rate at which organisations convert artificial intelligence pilots into production has not. This paper argues that the two facts are connected, and that the binding constraint is no longer reasoning quality b...

Continuous Mission Intelligence: The Decisive Architecture for Command at Machine Speed

Defense AI has succeeded at four layers and created a fifth problem. Data integration, command and control, fleet-scale coordination and platform autonomy all work, and their success is precisely what makes the missing layer decisive. When every sensor, platform and agent is inte...