研究表明，当前由多个LLM组成的AI智能体团队在需要协调达成最终决策时存在根本性困难。开发者常误以为增加智能体数量并通过讨论就能解决问题，但论文证明这一假设目前是错误的。即使在友好协作环境中，智能体团队也常陷入僵局或完全停止响应，且团队规模越大问题越突出。这意味着现有AI智能体系统尚无法可靠处理需要达成一致正确答案的任务。
Research proves that current AI agent groups cannot reliably coordinate or agree on simple decisions.
Building teams of AI agents that can consistently agree on a final decision is surprisingly difficult for LLMs.
But problem is that developers frequently assume that if you have enough AI agents working together, they will eventually figure out how to solve a problem by talking it through.
This paper shows that this assumption is currently wrong. Even in a friendly environment where every agent is trying to help, the team often gets stuck or stops responding entirely. Because this happens more often as the group gets bigger, it means we cannot yet trust these agent systems to handle tasks where they must agree on a correct answer.
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Paper Link – arxiv. org/abs/2603.01213
Paper Title: "Can AI Agents Agree?"
来源：Rohan Paul · x.com