Beyond prediction: Assessing stability in feature selection methods for materials science applications

· · 来源:hardware资讯

During development I encountered a caveat: Opus 4.5 can’t test or view a terminal output, especially one with unusual functional requirements. But despite being blind, it knew enough about the ratatui terminal framework to implement whatever UI changes I asked. There were a large number of UI bugs that likely were caused by Opus’s inability to create test cases, namely failures to account for scroll offsets resulting in incorrect click locations. As someone who spent 5 years as a black box Software QA Engineer who was unable to review the underlying code, this situation was my specialty. I put my QA skills to work by messing around with miditui, told Opus any errors with occasionally a screenshot, and it was able to fix them easily. I do not believe that these bugs are inherently due to LLM agents being better or worse than humans as humans are most definitely capable of making the same mistakes. Even though I myself am adept at finding the bugs and offering solutions, I don’t believe that I would inherently avoid causing similar bugs were I to code such an interactive app without AI assistance: QA brain is different from software engineering brain.

What's the difference between a wifi booster and extender?。爱思助手下载最新版本对此有专业解读

找不出一支完美日记

https://feedx.site。关于这个话题,搜狗输入法2026提供了深入分析

Глеб Макаревичсотрудник Центра Индоокеанского региона ИМЭМО РАН,详情可参考91视频

Российског