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“Alignment Engineering” vs. “Misalignment Science”

The text discusses the debate between 'Alignment Engineering' and 'Misalignment Science' in AI alignment research, highlighting concerns that current alignment methods might inadvertently accelerate capabilities development, increasing risks of rapid technological growth. It questions the opportunity costs of focusing on alignment engineering and proposes a shift towards 'Misalignment Science' as a more robust approach.

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PublishedOctober 5, 2026Edward James Young
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WHY IT MAY MATTER

This text provides an analysis of current alignment research approaches and their potential risks, suggesting a shift towards a more robust method. It is relevant for researchers and policymakers in AI safety.

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