I'm highly skeptical that ML will take over everything. ML is great for cases where being "sometimes wrong" or "approximately correct" is acceptable. It's not a

I'm highly skeptical that ML will take over everything. ML is great for cases where being "sometimes wrong" or "approximately correct" is acceptable. It's not acceptable for the vast majority of computer science problems however. If there are many correct answers then ML is a good use case. If there is only one correct answer then ML will never be used there. Edit: I assumed that "ML" here stood for Machine Learning, it appears that was not the case.