Motivation binds to actions based on confidence in a model and the depth of the valley that needs to be crossed. Sometimes you can build confidence by crossing similar, shallower valleys, but not always.
Occasionally you will find a chasm that has no steady learning gradient, and action will be required with low confidence in the accuracy of your model.
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It’s during these times that obsession with detail, meticulous model updates, stamina, and quick decision making are most valuable
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If you fail now, your confidence in your meta-ability to conquer uncertainty will drop. The stakes arw high. But if you succeed, natural motivation will be able to bind to actions to take you over local minima in a way that was not possible before.
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