The article explores the concept of alignment in artificial intelligence through the lens of language equivariance. It discusses how leveraging language structures can lead to more robust alignment mechanisms in AI systems, addressing challenges in ensuring that AI goals are in line with human intentions. Furthermore, it emphasizes the importance of understanding equivariance to improve AI safety and functionality.