"In mathematics, the dimension of an object is, roughly speaking, the number of degrees of freedom of a point that moves on this object."
If you have 3 spatial dimensions x, y, z, then you can have 3 degrees of freedom by translation and scaling along those dimensions. You can also have another 3 degrees of freedom by rotation around planes x^y, x^z, and y^z. I'm not sure what degrees of freedom are represented by the dimensionless scalar and pseudoscalar x^y^z, but probably one of them is mana points, and the other is hit points.
Two spatial dimensions give you two translation/scaling axes (x, y), one rotation (x^y), and one stamina points (scalar).
A 4x4 transformation matrix has 16 values, suggesting 4 dimensions, but it doesn't have 16 degrees of freedom, because several values are constrained. Nine values have three degrees of freedom, three other values have three more, and four are fixed, with zero degrees of freedom. Those six degrees of freedom suggest three dimensions, where two of the potential degrees of freedom are ignored.
So a higher-dimensional mathematical space can embed a lower-dimensional model, if the constraints are clever enough, and map the degrees of freedom onto the right dimensions or combination of dimensions. This might be useful for generating smoother animations using linear interpolation, or avoiding gimbal lock, or attempting to unify gravitation with electronuclear forces, or something else.
"Term of art" might be a subjective concept, but the article making it up or not is objective.
That said, the article is heavy on marketing (13.8 billion year claim is not scientific, at least in spirit) and looks like PR department product.
In what sense is this "not scientific"?
What’s special about 462K? Is it a local min/max? Doesn’t seem so.
Given that they had a hypothesis, designed an experiment and validated the result, it seems a bit much to say it "flys[sic] in the face of the foundations of science".
Not on Earth, not in space, when real considerations like impact resistance are in.
Neural networks used for AI are represented by N-dimensional spaces of, for example, 1024 dimensions.
People have been storing things in 5D on wood substrate for years. Like clothes in the closet (the 2 extra Ds might be type and color).
The terminology is clearly mean to impress the general audience that would normally not even bother to read a classic "engineering" title.