The document discusses the origin of sparsity in interaction networks of living systems. It proposes that sparsity emerges from mechanisms that maximize the volume of stable attractors and promote robustness to perturbations. Sparse, tree-like networks provide greater explorability of stable states and asymptotic stability of dynamics compared to more dense networks. The optimal network structure is found to be self-similar and able to deal with real-world complexity through aggregation of communities.