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The article questions the long-term effectiveness of access controls for AI safety when capabilities inevitably diffuse to other models, and suggests a shift towards building robust systems in response.
This paper analyzes how different AI performance metrics (bounded vs unbounded) determine whether frontier AI capabilities remain concentrated among wealthy actors or diffuse to smaller models, with implications for regulation.