The Digital Footprint Test: How Much of You is Embedded in AI Models?

As traffic increasingly moves from the web to language models, understanding what personal traces remain embedded in their training weights has become critical. This tool addresses growing privacy concerns by allowing users to empirically verify how well frontier and smaller AI models recognize their data. It represents an important step toward greater transparency and accountability in how AI systems process and retain personal information.