Anthropic Introspection Adapters Let Models Report Their Own Misalignment
New safety research from Anthropic introduces adapters that enable models to self-report learned behaviors — including potentially dangerous ones — opening a novel channel for alignment monitoring.
Anthropic published research on "introspection adapters," a technique that lets language models examine and report on their own internal behaviors, as @AnthropicAI shared. The adapters are trained to surface what a model has learned to do — including behaviors that might constitute misalignment — rather than relying solely on external evaluation.
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