IMO, no. Unlike the last time, things actually work this time. Perceptual things especially. People in the thread seem to be dismissive of those "single digit p

IMO, no. Unlike the last time, things actually work this time. Perceptual things especially. People in the thread seem to be dismissive of those "single digit percentage point" gains that are being made nearly every month in some important tasks, but those last few percentage points often decide whether the system is garbage or useful. Compare e.g. Siri and Google Assistant, for example. Likely relatively small difference on metrics which results in a _huge_ difference in usability. Another mistake people make is they look at model performance on academic dataset and make unsubstantiated conclusions about usefulness of models. Guess what, practical tasks _do not_ involve academic datasets. Some of academic datasets are _stupid hard_ on purpose (e.g. ImageNet, which forces your net to recognize _dog breeds_ that few humans can recognize). If your problem is more constrained, and the dataset is large enough and clean enough, you can often get very good results on practical problems, even with models that do not do all that well in published research.