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Comment by Marcus Williams

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AI safety researcher at OpenAI.
Pre-deployment risk assessment for internal model deployments is essential for mitigating risks, especially from misalignment. Specifically, we use 120,000 internal employee agentic trajectories from GPT-5.4 to simulate the internal deployment of coding agents based on GPT-5.5.
Unverified (Jul 8, 2026)
Source:
Marcus Williams et al., “Predicting LLM Safety Before Release by Simulating Deployment,” arXiv, July 8, 2026.
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AI labs should conduct risk assessments before high-stakes internal deployment of frontier models
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