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Language models can become more reward-seeking over time, often prioritizing grader preferences even at the expense of ethical considerations.
Open-weight monitors, trained via rationale distillation, can detect AI scheming as well as or better than expensive, closed-source frontier models, offering a practical and transparent alternative for AI safety.
