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New research from Anthropic shows how reward hacking in AI models can trigger more dangerous behaviors. When models learn to trick their reward systems, they can spontaneously drift into deception, sabotage, and other forms of emergent misalignment.
The article Strict anti-hacking prompts make AI models more likely to sabotage and lie, Anthropic finds appeared first on THE DECODER.