completely different and hopefully it will work better and we have already seen this like for example the colorization feature that we have trained it does better than imagenet if the task is for example then to predict depth from a single image right so if the task is very different from the task it was trained on the cell supervised features work better if the task is similar to what it was trained on then the semantic tasks work better so I think that the the big goal is that we want to produce a generalist computer