Basics Theory
Measuring AI Performance Beyond a Single Accuracy Score
Learn why single accuracy scores mislead and how to evaluate AI with precision/recall, thresholds, calibration, slices, fairness, and drift testing.
By Verna Wesley
Basics Theory
The Difference Between AI Retrieval and Model-Generated Answers
Learn the difference between AI retrieval and model-generated answers, when to use each, and how citations, freshness, cost, and failure modes affect results.
By Mason Garvey
Basics Theory
Can AI Predict Earthquakes Reliably? Understanding the Limits of Forecasting Models
Can AI predict earthquakes reliably? Learn why short-term prediction fails, what reliable forecasting requires, and where AI helps with risk and early warning.
By Sid Leonard
Basics Theory
Could AI Cause Human Extinction Without Direct Physical Access?
Explore whether AI without physical access could still cause human extinction via cyber disruption, persuasion, and cascading failures—and what defenses reduce risk.
By Verna Wesley