Unpublished Musings

Why Human–AI–Machine Interdependency Changes Everything One of the key reasons I deliberately moved away from the idea, and ultimately the reality, of human–machine codependency is that my research consistently failed to support it as a viable long-term interaction model. Instead, the conclusions validated a different structure altogether: a human–AI–machine interdependent triangular relationship. This shift was not semantic, nor philosophical for its own sake. It emerged fro

Introduction Large Acoustic Models (LAMs) are expansive machine-learning systems trained on diverse undersea acoustic data, acting as decision engines that interpret sonar and other acoustic inputs for uncrewed underwater vehicles. In harsh, low-visibility, GPS-denied environments where traditional crewed sonar platforms once struggled with an undersea conditions, LAMs can now analyse sonar returns in real time, often matching or surpassing human operators in detecting and cl

Today at the First Sea Lord’s Seapower Conference, we heard that underwater gliders will soon help protect our seas. This marks a new era in military strategy, using new tools and new kinds of thinking. But how hard is this to do? To understand that, let me explain something very complex called a Large Acoustic Model, or LAM, to you as if you were a toddler. Lets compare LAMs to LLMs. Start by thinking about Chat GPT. At first, language and underwater sound seem completely di