There is plenty of work out now showing that we may have gone as far as we can with the 'throw more data' at it approach. Work out of the Adversarial AI area sh

There is plenty of work out now showing that we may have gone as far as we can with the 'throw more data' at it approach. Work out of the Adversarial AI area showing that models are learning shallow representations regardless of the amount of data used, work showing that even with deep learning we are hitting diminishing marginal returns with larger and larger corpus sizes, almost complete lack of progress in dealing with 'context'... I think that is a large part of the sudden resurgence of interest in ontologies, knowledge graphs, etc...