The mood in the world of AI has changed subtly during 2018, stemming from a desire to avoid a hard landing from the hype that has lifted the field to stratospheric heights of over-expectation. This has not tempered enthusiasm so much as dampened some of the rhetoric associated with deep machine learning in particular, where the essential error has been to exaggerate the level of general intelligence that has been achieved. That echoed earlier mistakes dating right back to the dawn of AI, when progress on a very limited use case confined to a small vocabulary led to wild prognostications that machine translation would be solved within a few years. Such mindless over excitement has caused the larger AI field…