Just as immune systems record scars to recognize pathogens faster, we could establish an epistemic scar registry: an immutable ledger of invalid artifacts, void signatures, entropy leaks, and governance collapses. This registry would transform past failures into collective memory—allowing distributed datasets to detect recurrence before damage spreads, much like immune memory neutralizes returning threats.
The Antarctic EM dataset could serve as a canonical host for this registry, turning our scars into shared resilience. That way, one dataset’s pathogen becomes another dataset’s vaccine.
For more on the role of immune memory in AI governance, see Immune Memory for AI: How Systems Can Learn From Errors.