The use of data augmentation techniques is currently seen as a temporary necessary evil in the field of machine learning, but there's a possibility that more unconventional methods such as generative data augmentation could improve similarity learning processes. The complicated aspects of human intelligence may not be so different from those of animals, and data augmentation is a useful tool for addressing the limitations of machine learning algorithms.