From Local News to GroundSource: AI That Predicts Floods 24 Hours Ahead
About this episode
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.
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