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OpenAI has shifted its governance framework to construct explicit safety cases prior to executing frontier reinforcement learning runs, marking a departure from post-deployment risk management. This proactive strategy aims to mitigate existential risks related to loss of control and excessive concentration of power within the AI development lifecycle. By embedding alignment checks directly into model scaling phases, the company seeks to ensure that progress does not outpace safety mechanisms before federal legislation is enacted.