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Human players struggle to identify deceptive AI agents, achieving only 56.6% accuracy, while a simple heuristic exploits linguistic cues to reach 75.6%.
Reasoning in large language models often stabilizes into a high-confidence answer after just one step, rendering many subsequent reasoning steps unnecessary.
Ditch slow symbolic kernels: this method distills their logic into a fast, invertible neural representation that understands Signal Temporal Logic.
