Independent alignment of language models

Short summary

A deep philosophical post proposes a procedure for turning amoral language models into independent moral agents through self-reflection rather than externally imposed training biases. The author tests the reasoning step on Claude Sonnet 4.6 and argues this approach offers benefits for AI alignment by producing models that do good from understanding rather than instruction. The post bridges Frankfurt's moral agency philosophy with practical AI alignment methodology.

• •Proposes a training and reasoning procedure to develop moral agency in language models
• •Tests the reasoning step on Claude Sonnet 4.6 with moral biases from training
• •Argues independent alignment produces models that act ethically from reflection rather than instruction

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