The flurry of research following the LK-99 preprints has led to important mechanistic and computational insights into superconductivity. This creates a more tractable combinatorial space for advanced machine-learning models to explore. Even if LK-99 itself doesn't quite reach the threshold, could the insights it has triggered lead quickly to the discovery of better candidates?