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Dismissing machine learning because it can't make sense of what it *hasn't* seen before it quite short-sighted. It is immensely valuable to be able to automatically recognize *what you are able to label* -- especially on hard pattern recognition problems, at super-human accuracy.
Sure, our models have close to no intelligence. They're just automating what we've trained them to do. But that power makes them extremely useful in the real world. Just not a panacea.
I see too many people taking the stance "ML does not magically solve every problem, therefore we shouldn't use it". Instead, engineers in every industry should be asking, "what can I do with ML?", while keeping in mind its limitations. Turns out, there's *a lot* you can do.
Granted but don’t you think this rhetoric is coming as a response to the entire “AI will rule the world in 23 days” type hype? The over correction can be a way to hopefully land in a balanced place. I hope, naively.
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