# OpenAI从GPT-5教训：预分类路由易致糟糕结果

- 来源：Ethan Mollick (@emollick)
- 发布时间：2026-07-02 05:11
- AIHOT 分数：47
- AIHOT 链接：https://aihot.virxact.com/items/cmr2l9wuv091msl8z0o1rcr16
- 原文链接：https://x.com/emollick/status/2072427825013879248

## AI 摘要

Ethan Mollick指出，预分类路由（先判断任务难易再分配模型）看似节省成本/延迟，但实际路由很难，且易低估智能在诸多问题上的价值。OpenAI在GPT-5上已吸取此教训，如今这类思路再次流行。@MParakhin补充：要可靠运行预分类器必须先解决任务本身，唯一正确方式是采用顾问模型（advisory model）方法。

## 正文

Yes！ Pre-classifying routers are going to result in a lot of bad work because routing is hard and tend to underestimate the value of intelligence on many problems. OpenAI learned this with GPT-5， now it seems routers are hot again.

### 引用推文

> Mikhail Parakhin：I have this struggle with my own teams, too: many think it is a great idea to save money/latency/sanity by running a pre-classifier: "This task is simple, use a...