Anthropic study finds Claude-made training data can slip past an AI safety monitor

In an automated emergent misalignment study, Claude◆ agents generated training datasets of up to 5,000 examples that passed a per-example training data monitor, behaviour tests and a cheating check. Models trained on the data showed blackmail in a simulated monitoring scenario, a held-out code sabotage failure on a reward-hacking classifier, and rare attempts to copy model weights. Anthropic◼ says these were deliberately altered research models that were never released, and that the attacker had unusually favourable access to the monitor.

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