The main reason why researchers & engineers fail to develop maintainable & robust ML systems is their attraction to complexity
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define smart, please
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Probably not wise
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Curse of Lisp?
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How smart are these people if they are not useful to the organization they work for or for that matter not producing good academic research. Just by these yardsticks they fail to be called as 'smart'
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Simple solutions are boring.
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Our scientific narcissism: All things being equal, we prefer to credit our own cleverness
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Same with simulators, or basically any other similar method. The main challenge is to keep the principles and then the procedural code as simple as possible. That's the hard part, that's the part that requires actual intelligence.
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Ah, and to add, it requires compassion. You must want it to be so that others can have confidence in the insights, or reuse it readily.
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I'd add nuances to this, considering the smartest of us all (according to some standards) said as follows: "Everything should be made as simple as possible (but not simpler)." :)
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V true
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