If the algorithm keeps increasing in accuracy as you scale up computation and add more unlabeled data that is pretty amazing. You might get something that matches human performance on vision/speech recognition etc.
If you extrapolate that way you'd conclude that naive Bayes is the solution to AI. Improvements tend to tail off fairly quickly as you add more data and computation, unfortunately.
