> We appear to be at the tail end of the maximum hype part of the boom-bust cycle. Thinking that the rapid gains being made by the current deep learning approaches will soon hit a wall is a reasonable outside-view prediction to make: nearly every time we've had a similarly transformative technology in the AI space and elsewhere, hitting the wall is exactly what happened. The onus would be on practitioners to show that this time really is different.

What a take. Neural networks just took a huge bite out of protein folding and your take is: This just in, the Deep Learning boom is about to go bust! Asinine.