# LLM在非验证领域同样快速进步

- 来源：Ethan Mollick (@emollick)
- 发布时间：2026-07-29 07:31
- AIHOT 分数：57
- AIHOT 链接：https://aihot.virxact.com/items/cms5bg4kw01e8ro7c1pkbukmc
- 原文链接：https://x.com/emollick/status/2082247550103367772

## AI 摘要

Ethan Mollick指出，LLM不仅在数学、编程等可验证领域进步，在商业案例、创意生成、医学、法律等非限定领域同样表现提升。引用论文显示，AI在MBA教学案例测试中已表现极佳，且模型能力随时间快速改善。

## 正文

There's been a talk about how LLMs are only advancing in verifiable areas like math or coding， but that isn't what the data suggests.

As models have gotten better at that， they are also better at solving business cases in unbounded fields， generating ideas， medicine， law， etc.

### 引用推文

> Ethan Mollick：Cool paper looking at how AIs solve unbounded, complex business problems in many fields by testing how well they can crack the cases we use to teach MBAs in bus...