LLM agents autonomously evolve human-readable safety specifications from sparse 1-bit danger signals, outperforming reward-based reflection that encourages reward hacking.
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Discovering Agentic Safety Specifications from 1-Bit Danger Signals
LLM agents autonomously evolve human-readable safety specifications from sparse 1-bit danger signals, outperforming reward-based reflection that encourages reward hacking.