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Compromised world models can create dangerous predictive safety illusions, exposing embodied AI to a lifecycle of unique security threats.
LLMs can fix 26% more bugs when given access to intermediate runtime states during program repair, proving that even the best models struggle to infer root causes from just failure symptoms.
