# AI 长文写作能力停滞，Nathan Lambert 担忧开放科学前景

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-08-12 22:04
- AIHOT 分数：52
- AIHOT 链接：https://aihot.virxact.com/items/cmsq6ezyf05kiro2e210zyeui
- 原文链接：https://x.com/natolambert/status/2087540673255969137

## AI 摘要

Nathan Lambert 在 AI 教科书写作中意外发现，模型在长篇非虚构/技术写作上进步甚微。他认为写作与组织思想对推进集体知识至关重要，并担忧这会影响 AI 模型进行真正开放式科学的能力。相关分析见其最新文章《I wrote an AI textbook — how long until AI can do it better?》。

## 正文

A few years ago, when I started my AI textbook, I would've guessed AI models would've maybe made it irrelevant at the time of publishing (now in 2026) due to them getting way better at a fairly simple task. I was surprised to be wrong.

Today, models haven't gotten much better at non-fiction/technical writing in long-form. This has me worried for AI models' abilities to do genuine open-ended science, one of the core posited benefits of models. Yes, the models can solve known math problems etc. and make awesome connections across fields, but how are they going to build a literature themselves without massively increasing entropy? Being able to write and organize thoughts is crucial to advancing collective knowledge.

I'm sharing how I came to be worried about this in my latest piece on AI & writing.

### 引用推文

> Interconnects AI：I wrote an AI textbook - how long until AI can do it better? Reflections on AI's writing ability and how AI models get more capable. https://www.interconnects.a...