MIT 论文：LLM 智能体在规则以简单步骤呈现时决策更好
MIT 新论文指出，LLM 智能体在选择以简单步骤呈现、或规则的安全动作被明确说明时决策更好，被告知推理对手时反而更差。为人类竞拍者设计的市场设计经验法则可迁移到 LLM 智能体，无需另造提示词技巧；GPT-4o、Claude、Gemini 和 Gemma 在拍卖与匹配博弈中仍会压价竞标。
New MIT Paper: LLM agents decide better when the choice is shown in simple steps or the rule's safe move is stated plainly, and worse when told to reason about opponents.
Market-design rules of thumb built for human bidders carry over to LLM agents, so we can borrow them instead of inventing new prompt tricks.
Honest bids and rankings are always the best move in these auctions and matching games. GPT-4o, Claude, Gemini and Gemma still underbid, often to keep a profit margin.
A rising price with a simple stay-or-exit choice moved Gemma from $5.30 below its value to $0.30 below. A 1-line note that rejections only redirect cut matching errors from 4.2% to 0.2%.
Fix the format and state the key fact before adding reasoning prompts, and judge agents by their choices, since their written plans missed these gains.
Agent prompts should state facts about the rules rather than request more thinking, because facts improved choices while thinking prompts often added errors.
来源：rohanpaul_ai · x.com