
The article proposes 'ethical entrainment' as an alternative approach to AI safety that builds values into systems during development rather than applying restrictions afterward
This framework suggests AI systems should be designed to naturally align with ethical principles through their training process
The approach differs from traditional constraint-based methods by emphasizing intrinsic alignment over external limitations
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