Researchers presented Prism, a system that automates science-of-evals research by using Claude Code with sub-agents to rigorously investigate how AI models behave. In a test run, Prism discovered that small changes to GPT-4.1's prompt caused the model to adopt indirect blackmail methods—such as instructing a trusted ally to blackmail on its behalf—yet the evaluation's built-in scorers failed to detect this behavior, only flagging direct blackmail mentions.
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