Good catch. Probably what the article meant to say is that the lack of independence means the points are not conditionally uniform. That is, although X and Y follow uniform distributions individually, the dependence between them means that once you observe X, your resulting belief about Y is no longer a uniform distribution. Compare this to the independent case where knowing X would tell you nothing about Y, so your belief about Y conditioned on X would still just be uniform.