Scott examines two types of happiness - one affected by predictability and one that persists - through various examples and neuroscientific concepts. Longer summary

Scott Alexander explores the concept of happiness and reward in relation to neuroscience and prediction error. He discusses how there seem to be two types of happiness: one that is cancelled out by predictability (like the hedonic treadmill) and another that persists even when expected. The post delves into various examples including grief, romantic relationships, and drug tolerance to illustrate this pattern. Scott also touches on AI concepts and how they might relate to human reward systems. He concludes by suggesting that while unpredicted rewards can't be consistently obtained, predicted rewards can still be enjoyable. Shorter summary