From Local News to GroundSource: AI That Predicts Floods 24 Hours Ahead

This episode explains how satellites miss localized weather and how GroundSource uses 20+ years of local journalism to train an AI that converts unstructured headlines into precise, actionable flood forecasts. Through a strict four-step prompt—classification, temporal reasoning, spatial precision, and location reconciliation—the system achieves 82% practical precision across millions of articles, enabling near-global forecasts up to 24 hours before a flood. We discuss implications for emergency planning, challenges of AI reliability, and what other unstructured human memories we could transform into data for humanity. 

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

Sponsored by Embersilk LLC