used to think that ML people didn't know enough math, that this was what was limiting the field. Now I think the field needs more humanities
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Why we would need more math is clear: the field is largely empirical and mostly free of theoretical foundations (true before DL, worse now)
Opening up a math textbook (e.g. information geometry) at any random page can easily lead to a good and novel ML paper. Math under-exploited
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But being better at building solutions is less valuable if you don't pick the right problems to solve and don't apply your solutions wisely
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I find the field as it is now ill-equipped to deal with increasingly cult-like influences, & to take on significant social responsibilities
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Any good information geometry book recommendation?
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