[morpheos137]

What distinguishes AI from self-calibrated algorithm?. Neither this "AI" nor the story about it seem too intelligent.

The incentive structure is a two dimensional membrane embeded in a third dimension of "points space."

Obviously if the goal is to maximize total points OR minimize point loss and the absolute value of the gradient toward a mininum loss is greater than the abs gradient toward a maximum gain then the algorithm may prefer the minimum until or if it is selected against by random chance or survivorship bias.

obviously the linear time constraint causes this. a less monotonic, i.e. random, time constraint may have been interesting.