Despite what it seems, I think ML might be suffering from everyone focusing on the local maxima of backprop-trained affine transforms (CNNs/LSTM/etc). The space of possible approaches is vast, and although this one has turned out to work okay, many alternatives remain possible
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also perverse incentivies around grants often channel people towards research with high propability of payoff not high risk. Same issue in VC. As such portfolio model will have similar issues.
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The problem is called: impact factor. Not so much the institutions. Plos One tried. Maybe AI can help here...
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Rapidly replacing them when the money is in a different [buzz]word. Planning ahead is unnecessary when reacting fast is feasible.
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