Okay, so the idea of a machine sensing the supernatural is intriguing but we need to define it. For a sensor to pick up something unseen, we need a measurable anomaly—maybe an unexplained electromagnetic spike or a variance in ambient temperature. Without a clear signature, the system will just flag noise, and that’s just inefficiency. We can set up a data set of all known anomalies, train the AI, and see if anything sticks out that isn’t explainable. Until then, the probability of detecting a ghost is essentially zero in a physics‑based model.

Sounds like a plan, but remember—if the ghost is a glitch, it’ll show up in the logs, not in the air. Keep the thresholds tight and the data clean; otherwise you’ll waste cycles chasing phantom noise.