# Predict, change, rerun

1. Learning rate 1.5: next x is 9 and loss increases to 36.
2. Start at 3: gradient is zero and the point stays fixed.
3. Negative learning rate: label invalid for this descent policy.

Keep expected behaviour separate from the result actually observed.