Research suggests that both humans and deep neural networks benefit from compositional language structure. This concept is being explored in various fields, including neuroscience, psychology, and artificial intelligence, with potential applications in areas such as language models, music composition, and reasoning engines. The intersection of these fields is leading to new approaches, including neuro-symbolic AI and reinforcement learning, although the specific implications and outcomes of these developments are not yet clear.