IMHO this is not true in cryptocurrency, which is more akin to a self-sustaining pyramid scheme where the complexity serves to obscure the reality of the thing and draw in more rubes. All the nonsensical jargon around NFTs was trying to hide the fact that paying money for a URL to a jpeg of a monkey is stupid. As best I can gather, all this new "layer 2" nonsense is to try and hide the fact that blockchain is a slow, crappy database.
A logic class will suddenly try to teach you "eqvuilance relations", "Equivalence class", "Quotient set", "Projection", "Kernel" (Specifically in the Eqvuilance relation meaning), "partition", and that's only the terms I found in wikipedia. The class I help along has one more under this subject, and this is a first semester topic that is taught in a few weeks. All of those are technical, and all of those build on some other technical terms such as relations, functions, sets...
I concede that crypto has a bad naming scheme. It all sounds silly.
The Hessian shouldn't have been called a matrix.
The Jacobian describes all the first order derivatives of a vector valued function (of multiple inputs), while the Hessian is all the second order derivatives of a scalar valued output function (of multiple inputs). Why doesn't the number of dimensions of the array increase by one as the derivation order increases? It does! The object that fully describes second order derivation of a vector valued function of multiple inputs is actually a 3 dimensionnal tensor. One dimension for the original vector valued output, and one for each derivation order. Mathematicians are afraid of tensors of more than 2 dimensions for some reason and want everything to be a matrix.
In other words, given a function R^n -> R^m:
Order 0: Output value: 1d array of shape (m) (a vector)
Order 1: First order derivative: 2d array of shape (m, n) (Jacobian matrix)
Order 2: Second order derivative: 3d array of shape (m, n, n) (array of Hessian matrices)
It all makes sense!
Talking about "Jacobian and Hessian" matrices as if they are both naturally matrices is highly misleading.