Tracking and monitoring inconsistencies in AI leader public statements over time

Researchers, investors, and AI policy advocates struggle to track how AI leaders' public positions evolve or contradict themselves across multiple video appearances and interviews. Current solutions require manual monitoring of scattered sources, making it nearly impossible to catch inconsistencies, reversals, or pattern shifts in real-time. This creates accountability gaps and makes it difficult to fact-check claims or understand genuine shifts in leadership thinking versus strategic messaging.