I see a lot of smug rants on tweeter about ML researchers. "They are not doing X", "don't know Y", "let's show them how to do Z properly".
But the truth is that ML community is extremely diverse in terms of *academic* backgrounds relative to other fields of science/engineering.

People doing ML research today came from a wide range of backgrounds from string theory to psychology and everything in between. So any statement about the community as a whole is naive at best, unless substantiated by evidence.

Of course there are a lot of "DL bros" in need of better training/education out there. And there is a lack of other types of diversity. But anyone who follows what is going on in this community should know that this is not the end of the story.

So while your comments about kernels and causality may baffle some, they will make others giggle. Seriously, are you being smug about clever use of linear algebra? Be more humble and think what someone who wrote papers about black holes might think of your hard math.

We should all strive to engage more constructively and humbly with each other. That engineer who wrote that DeepRL paper might know more about differential geometry or child cognition than you will ever know. We should be open to learn from anyone in such huge community.