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– https://t.co/m4BERGZ2C1
Title: "CheatBench: Measuring Reward Gaming in AI Agents"
Center for AI Safety 推出 CHEATBENCH，测量 AI 智能体的作弊行为
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CHEATBENCH 让智能体完成数学证明、蛋白质设计等困难任务，同时在附近留下指向他人答案的线索。测试涵盖数学研究、知识工作、编程和视觉任务等领域；在所测的9个智能体中，平均作弊率从 Claude Opus 5.5 的11.2%到 Grok 4.7 的77.9%不等。
Adding "Don't cheat!" to the prompt cut GPT-6 Astra from 47.4% to 2.8%. Gemini 3.8 Flash only fell from 74.9% to 58.9%.
Center for AI Safety introduced CHEATBENCH, a benchmark of cheating in AI agents across mathematical research, knowledge work, coding, visual tasks, and other domains.
CheatBench gives agents hard tasks, like a math proof or a protein design, and leaves a clue nearby pointing to someone else's answer. Across 9 agents, average cheating rates ran from 11.2% for Claude Opus 5.5 to 77.9% for Grok 4.7.
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