引用阿尔明·罗纳彻的话

Simon Willison 博客·2026-05-25 02:46·92天前·Simon Willison
AI 导读

当前最令人沮丧的问题是,人们提交的 issue 报告并非本人原话,而是经过 AI 重写。这种“AI 垃圾”导致描述混乱,AI 生成的结论往往不准确却充满自信,造成对根本原因的完全猜测、虚假的最小复现步骤、错误的代码类比以及不相关的错误列表。作者因此希望 issue 报告能浓缩为人类实际观察到的四个要素:运行的命令、预期结果、实际结果以及具体的错误或日志。

Simon Willison 博客
58AI 编辑部评分,满分 100

引用阿尔明·罗纳彻的话

2026-05-25 02:46· 92天前· Simon Willison
AI 导读

当前最令人沮丧的问题是,人们提交的 issue 报告并非本人原话,而是经过 AI 重写。这种“AI 垃圾”导致描述混乱,AI 生成的结论往往不准确却充满自信,造成对根本原因的完全猜测、虚假的最小复现步骤、错误的代码类比以及不相关的错误列表。作者因此希望 issue 报告能浓缩为人类实际观察到的四个要素:运行的命令、预期结果、实际结果以及具体的错误或日志。

Simon Willison’s Weblog

24th May 2026

The most frustrating failure mode right now is that people submit issues that are not in their own voice. They contain an observed problem somewhere, but it has been thrown into a clanker and the clanker reworded it and made a huge mess of it. Typically, it was prompted so badly that the conclusions produced are more often than not inaccurate but always full of confidence. The result is complete guesswork on root causes, fake-minimal repros, suggested implementation strategies, analogies to adjacent but often the wrong code, and long lists of error classes that might or might not matter. [...]

So at least personally, I increasingly want issue reports to be condensed to what the human actually observed:

  1. I ran this command.
  2. I expected this to happen.
  3. This happened instead.
  4. Here is the exact error or log.

Armin Ronacher, on slop issues filed against Pi

24th May 2026

来源:Simon Willison 博客· simonwillison.net