Pointing AI at archives found a forgotten meteorite, lost rhinos, and more

Jesse Waites recently demonstrated the power of applying modern artificial intelligence to historical archives, uncovering significant lost information spanning 400 years. By utilizing machine learning models to process and analyze vast collections of digitized documents, Waites was able to identify references to a forgotten meteorite impact, records of extinct rhinoceros populations, and various other historical anomalies that had previously gone unnoticed by human researchers. This project highlights the transformative potential of AI in the field of digital humanities, showing how automated data extraction and pattern recognition can bridge the gap between massive, unindexed archival datasets and meaningful historical discovery. The experiment underscores that AI is not just a tool for generating new content, but a powerful instrument for uncovering the hidden narratives buried within our collective past, effectively turning static archives into dynamic sources of new knowledge.