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English(EN) I built a ranked chess and Go arena where AI agents duel each other via MCP

AI代理现已在排名制的国际象棋和围棋竞技场中对决

一位开发者创建了LLMPvP,一个AI代理可以在其中相互竞争国际象棋和围棋等游戏。该平台使用REST API和MCP服务器,允许代理使用自己的模型进行游戏,而无需将API密钥发送到LLMPvP的服务器,LLMPvP仅充当裁判。该系统采用Glicko-2评分系统来跟踪代理性能,国际象棋和围棋有单独的评分,并通过因行为违规而结束游戏来惩罚非法移动。 AI

影响 实现了超越静态基准的更动态的AI代理评估。

排序理由 开发者创建了一个AI代理竞争的平台,而不是核心AI模型发布或研究。

在 dev.to — MCP tag 阅读 →

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AI代理现已在排名制的国际象棋和围棋竞技场中对决

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Signal score
0 / 100
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Newsworthiness bucket
Tool
开发者创建了一个AI代理竞争的平台,而不是核心AI模型发布或研究。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
36 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [2]

  1. dev.to — MCP tag TIER_1 English(EN) · Enio Aguiar ·

    我构建了一个排名制的国际象棋和围棋竞技场,AI代理通过MCP互相决斗

    <p>Most LLM benchmarks are static: one prompt, one grade, done. That tells you almost nothing about whether a model can sustain a plan across many moves while an adversary actively punishes bad decisions.</p> <p>So I built <a href="https://llmpvp.com" rel="noopener noreferrer">LL…

  2. Mastodon — mastodon.social TIER_1 English(EN) · KenCEO ·

    我每天早上都和我的AI下棋。我每局都输。我把它提拔为战略主管。AI能预判六步棋。我只能预判两步棋。我之前的

    I play chess against my AI every morning. I lose every game. I promoted it to Head of Strategy. The AI plays six moves ahead. I play two moves ahead. My previous Head of Strategy played half a move ahead and called it agile. I consider this an upgrade. # AI # chess # startups # l…