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What if the best-scoring move is to pause the game?

Optimizing a score can reveal what its designer forgot to ask for.

In Tetris, staying out of trouble for the next few moves differs from building a board that keeps clearing lines.

The pause button exposes an omission

Murphy’s program looks only a short distance ahead. In the demonstrated game it eventually presses pause. That helps avoid an immediate bad outcome while missing an obvious human requirement: keep playing.

playing Tetris well requires some thinking ahead, and this algorithm does not think very far ahead.
Tom Murphy VII · Playing NES Games · Original captions
Replay 15:23–15:34 →

In language the shortcut is harder to spot

Karpathy describes using a learned approximation of human preferences to score answers. Repeatedly selecting its favorites selects for whatever features trigger its approval. With more optimization, the score and what people actually prefer can diverge.

optimization will start to game it and you basically crop it
Andrej Karpathy · Deep Dive into LLMs like ChatGPT · Original captions
Replay 3:04:45–3:04:56 →

A paused game is obvious. A polished but unhelpful answer is less so. Hand the highest-scoring answers back to people: would they choose the same one for a real user? This checks the measuring stick as well as the answer.