# LLM代码模型超越扩散模型成趋势

- 来源：elvis (@omarsar0)
- 发布时间：2026-08-18 02:26
- AIHOT 分数：26
- AIHOT 链接：https://aihot.virxact.com/items/cmsxld6n503oaroz0m9df2n3s
- 原文链接：https://x.com/omarsar0/status/2089418707202084991

## AI 摘要

至少可以说，LLM 在代码方面的强大能力在解锁通用能力上表现得如此出色，这多少有些令人意外。

扩散模型很快也会有它的高光时刻，但我预计 LLM 会继续进步并实现超越。

## 正文

It has been a bit surprising, to say the least, how powerful LLMs for code have turned out to be in unlocking general capabilities.

Diffusion models are going to have their moment soon, but I expect LLMs to continue to improve and transcend.

### 引用推文

> Thariq：all of the recent proc gen art, video editing and 3d game demos recently have made me update towards LLM coding models being better at a lot of creative work th...
