Researchers have explored post-training alignment in AI systems, but the effectiveness of constitutional midtraining interventions has not been extensively tested. In a new study, the authors build a large corpus of constitutional text and apply it to midtraining at scale. They find that including principled content during midtraining improves alignment generalization and durability, particularly when it comes to resisting blackmail. However, this advantage is lost in settings requiring active resistance to pressure or conflict. The study suggests that adding a small amount of constitutional content to AI training could provide a cost-effective way to improve alignment. --- Why it matters: This research matters because it offers insights into how to make AI systems more aligned with human values without sacrificing their capabilities. By exploring the impact of constitutional midtraining, engineers and researchers can develop more robust and trustworthy AI systems that resist exploitation or manipulation. Source: https://arxiv.org/abs/2607.26654