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Stop wasting tokens on irrelevant questions: reward models that ask about task relevance and user answerability can slash question count by 41% while matching GPT-5's issue resolution rate.
LLMs learn skills in a surprisingly consistent order during pretraining, revealing a hidden curriculum that's predictable across models and readable from their internal representations.
