Thinking about AI and hallucination control
The post discusses AI hallucination - when AI generates incorrect information. It explores two main problems: user frustration with incorrect outputs and uncertainty about managing these errors long-term. Using a geodetic network analogy, it explains how AI errors can propagate like measurement errors in surveying, suggesting we need better frameworks for detecting and managing hallucinations.
