Yes, that was what I was saying. Absolute value, 2-norm are fine thanks to subgradient techniques and theory, as well as their differentiability over the majority of the function - but you can imagine tons of non-differentiable models where the subgradient is mostly useless and we generally use convex relaxations or other smoother analogs.

I don't think there was any misconception.