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AI systems now shape real-world outcomes with unprecedented scale and impact, posing new demands on design philosophy. Most efforts focus on optimizing for reward functions or human preferences—often assuming correct behavior can be pre-specified. In practice, alignment requires constant calibration to observable reality, not just intended objectives.
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Incentives and evaluation reward enduring accuracy, humility in the face of uncertainty, and a continuous willingness to revise models based on evidence.
