I personally think this would lead to stagnation in the space. Because of competition, tensorflow is adding better ETL tools, dynamic computation graphs,.. I w

I personally think this would lead to stagnation in the space. Because of competition, tensorflow is adding better ETL tools, dynamic computation graphs,.. I would be careful about having only 1 company's use cases served. Competition forces parties to innovate. For example mxnet and cntk or even more recently caffe2 serve different use cases and companies. Giving you a recent one with our deep learning framework (I compete with all the above frameworks): We compete in the big data niche and recently found a few bottlenecks we missed because people run comparisons.