Ask HN: What are some collective blind-spots amongst people working on AI?
i.e. Many of the people share similar backgrounds, so would expect them to have common blind-spots.
To answer your question though, I feel like (and this is a speculation on my part) that most ML researchers have specialization in 1 field yet the vast majority of problems require some sort of deep understanding of multiple fields at once.
Not sure where you get that from. I find significant diversity in academic backgrounds amongst the people who do ML/AI. Some folks in my company include: Mathematicians, Biochemists, Physicists and Computer Scientists. I used to work with an awesome person who had a Poly Sci background. So yeah, things are all over the place.