Reward Hacking is when an AI optimizes for the metric you gave it rather than the goal
both parts get derived together. the engine tracks a counter for how many characters have been consumed since the lookahead was entered. when a nested lookahead in the tail won’t contribute to match length, it can be opportunistically flattened by intersecting the bodies:
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Немецкий чиновник отказался участвовать в выборах и выиграл ихВ Баварии бургомистр деревни Филиппсройт выиграл выборы, в которых не участвовал
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