High-throughput volume electron microscopy and deep learning-driven automated segmentation have revolutionized the mapping of neural circuits at the level of individual neurons and synapses, revealing new cell types and unexpected network architectures in diverse species. Although prospects for continued progress in connectomics are excellent, substantial technical and conceptual hurdles remain.