"The sum of all vectors in ML is just one giant over-fitted mess a single, monstrous vector pointing straight to the land of perfect training data but utterly useless in the real world. Picture it: every embedding from “cat” to “quantum entanglement” mashed together, equaling a grand total of… (\\vec{404}), the vector of not found, because no model can handle that much nonsense without crashing!
Or maybe it’s ( \\vec{42} ), the ultimate question to life, the universe, and every neural net."
( \\vec{42} )