I kind of respect deepmind for simply keeping their nose to the ground and doing good work like this without overhyping it too much. More of the under promise over deliver engineering style than some of their competitors tends to do it
The linked article precisely claims that the have overhyped their results by (inadvertently? ) having their test distribution overlap with their training data, and implies that the result won't generalise to novel proteins.