The linear regression model "ax + b" is the most simplest one and is still quite useful. It can be interesting to discover some phenomenon that fits the model, but that's not something people have control over. But imagine spending years (expensively) training stuff with millions of weight to ultimately discover it was as simple as "e = mc^2" (and c^2 is basically a constant, so the equation is technically linear)