When the bubble bursts… « Machine Learning (Theory)

We are clearly not in a steady-state situation. Is this a bubble or a revolution? The answer surely includes a bit of revolution--the fields of vision and speech recognition have been turned over by great empirical successes created by deep neural architectures and more generally machine learning has found plentiful real-world uses. At the same time, I find it hard to believe that we aren't living in a bubble. There was an AI bubble in the 1980s (before my time), a techbubble around 2000, and we seem to have a combined AI/tech bubble going on right now.