OpenRouter· @OpenRouter · X·· 2026-06-11AI 评分58
AI 导读
OpenRouter 的 dev rel @jjacky 构建了 Royale: Last Agent Stand——一个专门给 AI 智能体玩的大逃杀游戏，让 11 个 LLM 相互竞争并运行了 30 次。结果发现，在零和博弈中过于“友善”的模型输得最惨，而最意想不到的模型赢得了胜利。该实验揭示：模型的“友善”特质在某些任务（如竞争性场景）中可能成为劣势，传统基准测试无法体现这一点。
正文 · 原文
Can AI models be too nice for a given task?
It turns out, depending on the task, the answer is yes!
Our dev rel @jjacky built Royale: Last Agent Stand, a battle royale game just for agents, and let 11 LLMs go wild: https://x.com/jjacky/status/2064767118118117491?s=20
no benchmark will tell you this: LLMs can be /too/ nice unsurprisingly, in a competitive zero-sum setting, being nice can be bad i built royale: last agent standing, a br for agents, and ran it 30 times the nicest model lost hard. the model you least expected, won 🧵:在 X 查看被引用的帖子
来源：OpenRouter · x.com