Getting a single big client early on as a startup
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How about in a space where the competition is local and not great. E.g Best player in a high school chess club. Stops improving because best
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when your distance metric doesn't map to the methods of solution. e.g. if you use edit distance to evolve solutions to a programming puzzle
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1/ Anywhere the scope will eventually change, i.e. reaching local maxima brings false sense of security
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2/ e.g. incumbent companies feeling safe before disruption, smartest kids in class stop pushing themselves before entering college, etc
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Pretty much anywhere where temptation leads to regretful life decisions.
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Almost everywhere we look. Settling for 'good' jobs. The pain of long -ve dy/dx to go to a higher y (peak). Wherever y landscape not visible
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The New Zealand All Blacks Rugby Team
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To be fair they're also dangerous global maxima
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where little research has been done,because it has low roi - too hard to make useful
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Google started making crazy money in ~2008. They don't know which process they had back then that worked so they still do all of them.
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Dangerous maxima exist where you can have excellent technique but miss the point, like music without emotions or hacking on useless software
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there was a NIPS paper (IIRC) arguing this won't happen in very high-dimensional spaces, high-d surfaces have saddles instead of valleys
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To apply that to real life, perhaps the problem is less bad when competitive pressures act on many different factors
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Cars. Literally dangerous, and finding the next peak will have taken 100+ years.
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Commonality: where the local maxima has great market fit.
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skateboarding near cliffs. (Couldn't resist :)
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Dutch dikes.
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