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Rohan Paul· @rohanpaul_ai · X·· 6 天前AI 评分63
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Stanford 新论文发现,在共享预算或日历等资源上,由 1 个智能体统一服务所有人,优于每用户各用 1 个智能体,结论覆盖 5 个前沿模型。各智能体单独为用户行事时会相互覆盖、随团队扩大而停滞,缺少沟通通道时在 2 个环境中完全崩溃;在竞争性 token 预算任务中,Opus 5 团队仅获得可实现价值的 30%,单一协调智能体为 64%。

正文

New Stanford paper finds that when each person's agent acts alone on a shared resource, the group does worse than 1 agent serving everyone.

A shared budget or calendar is handled better by 1 agent serving everyone than by 1 agent per user, across 5 frontier models.

Each agent does a sensible job for its own user.

Together they overwrite each other, stall as the team grows, and with no channel they collapsed outright in 2 environments.

On a contested token budget, Opus 5 teams captured 30% of the achievable value against 64% for 1 coordinating agent.
Agents invented facts about other users in more than half of Claude team episodes in the group-ordering environment.

Prefer 1 agent holding everyone's constraints, and if you run 1 per user, make reading peers a condition of committing.

来源:Rohan Paul · x.com