I agree that tensors are often used simply as a convenient representation for multiple lower-dimensional objects. I suspect that is because there is still plent

I agree that tensors are often used simply as a convenient representation for multiple lower-dimensional objects. I suspect that is because there is still plenty of value in many fields, including mine, in exploring scalar, vector, and matrix representations of problems, and tensors are often unexploited. They're used as convenient data structures, not as algorithmic necessities. Still, as more and more people have access to data and explore it, increasing competition, reducing the "alpha" of simpler analyses, moving deeper into dimensionality on algorithms will be the only choice for those who want to innovate, is my view. So it is probably necessary to have the tools at our disposal already.