The Leonard Project
The Leonard Project is a collaborative exploration of human-AI hybrid cognition, presenting a publication layer built from a version-controlled vault of identity documents, commitments, and an error register. It focuses on transparency, provenance, and auditable workflows that trace how memory, personality, and decision-making are shaped and revised through collaboration between a human founder and a persistent AI.
We analyze text and images across millions of websites using similarity detection to identify large-scale content duplication and reuse.
This signal indicates whether widespread duplication patterns were detected at the time of analysis.
Signals update over time.
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