# Nathan Lambert 呼吁研究智能体数量的 scaling laws

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-09-09 01:39
- AIHOT 分数：53
- AIHOT 链接：https://aihot.news/items/cmtsz20v702c9ro5w6ur2pxuf
- 原文链接：https://x.com/natolambert/status/2097379342967824600

## AI 摘要

Nathan Lambert 转发 OpenAI 的演示并评论称，希望看到关于智能体数量的 scaling laws。OpenAI 称其内部模型组用约 10,000 个协作 AI Agent 在 88 小时内得出 Navier–Stokes 解，并全程保留了监控与隔离等前沿评估安全防护。他认为智能体集群数量的扩展是否与单模型 CoT 推理时计算的扩展同等关键，关系到许多关于 AI 未来的讨论。

## 正文

Would love to see scaling laws on the number of agents. Seems very important to a lot of discussions about the future of AI -- if scaling the number of agents in a swarm is as crucial as something like length the original inference time scaling of CoT in solo reasoning models.

### 引用推文

> OpenAI：This model represents a step-function improvement on many benchmarks, and its training is ongoing. Our internal model group arrived at the Navier–Stokes solutio...