The article discusses a method for visualizing high-dimensional tensors by representing them as matrices of matrices, which helps in identifying the dimensions more clearly. The author demonstrates this technique with examples of tensors from 0D to 5D, explaining how to stack lower-dimensional matrices both horizontally and vertically to maintain clarity. Additionally, the article touches on the fractal nature of this representation and provides a knowledge check on splitting tensors using PyTorch functions.