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Thoughts on the Persona Selection Model

The post discusses the persona selection model (PSM) in the context of AI development, questioning its applicability and validity. It argues that PSM is often over-applied and that there is insufficient empirical evidence to support claims about its implications for AI behavior and risks. The author also suggests that personas may be more conditional and less broad than previously thought.

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Tracking sinceSeptember 24, 202632 source points
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PublishedSeptember 24, 2026Sam Marks
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This summary provides an overview of the critical analysis of the Persona Selection Model (PSM) in AI development, highlighting concerns about its over-application and the lack of empirical evidence supporting its claims.

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