I tried to speak these in a relatively plain tone to make it sound less subjective. In recent days I have been listening to many researches from industry people and so here are my comments：

• the industry is really good at renaming existing stuffs, to make it better interpreted, but these are perhaps decorations rather than fundamental innovations.
• not many machine learning people think about their algorithms deeply. they see whether an algorithm works but they probably do not know when it would fail.
• there is always a trade-off between consistency and efficiency, or the technical beauty and usefulness.

...just my opinion. It always depends on the purpose.