This document discusses standardizing N-dimensional arrays (tensors) in Python. It proposes creating a "uarray" interface that downstream libraries could use to work with different array implementations in a common way. This would include defining core concepts like shape, data type, and math operations for arrays. It also discusses collaborating with mathematicians on formalizing array operations and learning from NumPy's generalized ufunc approach. The goal is to enhance Python's array ecosystem and allow libraries to work across hardware backends through a shared interface rather than depending on a single implementation.