[Sharlin]

And how many of those are obvious applications of prediction, where prediction is the hard part?

World model: This is what prediction is based on. That's what models are for.

Sense of consequences: prediction of those consequences, obviously.

Desire for self preservation: prediction; avoiding world states predicted to be detrimental to achieving one's goals.

Goal setting: prediction; predicting which subgoals steer the world towards achieving one's supergoal(s).

Reward-driven behavior: fundamentally interweaved with prediction. Not only is it all about predicting what behaviors are rewarded, the reward or lack thereof is then used to update the agent's model to make better predictions.

There's even a theory of cognition that all motor control is based on prediction: the brain first predicts a desired state of the world, and the nervous system then controls the muscles to fulfill that prediction!