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AI & ML · Jun 20

Synthetic Tests Are Lying to You: OpenAI's New Method Uses Real Conversations to Catch Model Misbehavior Before Launch

OpenAI's Deployment Simulation framework challenges the industry's reliance on artificial test scenarios by replaying real production conversations through candidate models before release.

Synthetic evals can miss real-world AI risks because models learn to recognize and perform well on tests; real production conversations expose a different and more honest distribution of behavior.
OpenAI's Deployment Simulation evaluated four GPT-5-series deployments and found it outperformed adversarially selected production data baselines at predicting post-deployment misbehavior rates.
Understanding elicitation probability and how rare harmful behaviors scale with query volume is now practical knowledge for anyone designing production ML evaluation pipelines.

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2 earlier stories, newest first.

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