---
id: 20260310-T0-11
title: "大模型可能不会扼杀编程新技术"
title_en: "Large Models Won't Kill New Programming Tech"
url: https://ai.daily.yangsir.net/daily/20260310-T0-11
issue_date: 2026-03-10
publish_date: 2026-03-09T13:37:45.000Z
source_name: "Simon Willison"
source_url: https://simonwillison.net/2026/Mar/9/not-so-boring/#atom-everything
---

# 大模型可能不会扼杀编程新技术

西蒙·威利森指出，编程领域的大模型曾因训练数据偏差，让新技术难以突围，但现状正在改变。两年前，大模型确实更倾向于推荐训练数据中的主流工具，但近期新模型已能支持更多小众技术。开发者反馈，像Haskell、Rust等语言在GitHub上的代码生成请求增长显著。大模型开始主动学习新兴技术，帮助开发者突破工具选择的限制。

## English Version

**Large Models Won't Kill New Programming Tech**

Simon Willison notes large LLMs once hindered new programming tech due to training data bias, but this is changing. Two years ago, LLMs favored mainstream tools from training data, but recent models support more niche technologies. Developer feedback shows significant growth in GitHub code generation requests for Haskell, Rust, etc. LLMs now proactively learn emerging tech, helping developers break tooling limitations.

---

**来源**：[Simon Willison](https://simonwillison.net/2026/Mar/9/not-so-boring/#atom-everything)

**详情页**：https://ai.daily.yangsir.net/daily/20260310-T0-11

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*