Safety17h ago
Safety
Applying Genealogical Regularity To Model Interpretability
The Genealogical Regularity suggests that entities evolve from predecessors through specific mutations. By applying this comparative method to AI, researchers can identify structural properties that bypass computational intractability. This approach helps Minna Sundberg map how model capabilities emerge. It offers a framework for tracing the lineage of specific model behaviors.