PS: forget about gradients and affine transforms. It has become an unhealthy monomania.
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It's prevalent in every decision making application. The alternative to analyzing the nature of the problem before you write code is that you leave the analysis to someone else, and just build the code. Some people (researchers) like the former, some (engineers) like the latter.
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Imho root cause: We tend to focus on and glorify solutions instead of problems.
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People often prefer heuristics.
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We need new tools but incentives are in using tools, not in creating them.
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My favorite saying to force me to re-think a solution is: "When your favorite tool is a hammer, it's funny how every problem looks like a nail"
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This is a root psychological phenomena. Not that it can't be overcome, but it takes a different kind of thinking to come at a problem with new solutions
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Unfortunately tools in this space (and many in software) seem to take a long time to build, evolve, support and master. So there is a natural incentive to make the most of the few tools at one's disposal. Kinda like swiss army knife for repairs on a hike.
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People are mesmerized by the money floating around that hammer.
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Needed this. When you acquire new, effective tools, you're just looking for ways to apply it. I guess PATIENCE and not aggressively hating on your past methods (INSECURITIES) is the behavior to get out of this tendency.
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