# 美国陆军烧光全年 AI token 配额，所谓"无限 token"并非无限

- 来源：Ars Technica：AI（RSS）
- 作者：WIRED
- 发布时间：2026-07-22 21:35
- AIHOT 分数：44
- AIHOT 链接：https://aihot.virxact.com/items/cmrw5ae6y00awro8g75u0jlzr
- 原文链接：https://arstechnica.com/ai/2026/07/us-army-faces-ai-use-limits-after-exhausting-years-supply-of-ai-tokens

## AI 摘要

美国陆军作战能力发展司令部（DEVCOM）员工收到邮件通知，由于 token 消耗过快，陆军 CIO 在 5 月宣布“无限 token”后，6 月中旬即耗尽配额并重新设限。陆军使用的 Ask Sage 平台支持 Gemini、Llama、ChatGPT 等多款大语言模型。一名陆军员工透露，整个陆军仅一个部门就烧光了全年 token 用量。

## 正文

A little over a month after the Department of Defense (DOD) bragged that nearly half of its 3.5 million employees were using AI at work, members of the Army’s Combat Capabilities Development Command (DEVCOM) received an email informing them that they were burning through tokens, and needed to limit use.

“Although the Army CIO announced in May 2026 that they were offering unlimited tokens, by mid-June the Army CIO pool was exhausted of tokens and had to re-establish limits,” the email reads. The email goes on to say that although the Army has chosen to renew token usage at “its current levels,” it’s unclear “if the Army CIO pool will be renewed after 1 Oct.”

The Army uses Ask Sage, a multimodal generative AI platform where users can run different large language models (LLMs), including Alphabet’s Gemini, Meta’s Llama, and OpenAI’s ChatGPT. “Apparently the whole Army burned through the whole year of tokens for just one service,” says an Army employee who spoke to WIRED anonymously because they were not authorized to speak to the press.