The instructions to “make a coffee mug” are likely to lead to a set of very similar objects, whereas the request to “make an object suitable for drinking a liquid” could result in a host of possibilities. Useful models arise when we impose just enough instructions to get objects of interest, but not so many as to preimpose a solution.
