Last week I asserted that there's no easy way to learn.

This generated some skepticism in the comments.

Let me try a slightly different derivation.

Learning means developing a better predictive model of the world.

Without error there is nothing in the model to correct.

Correcting weights to produce a better model is literally what learning means.

An error is a kind of failure.

Failure often hurts.

Sometimes there are situations where error doesn't feel like failure (for example, in a situation of play) or where failure doesn't hurt (for example in a psychologically safe environment) but those are special environments that have to be cultivated.