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.
谷歌旗下的“双子座”人工智能模型（Gemini）位居全球热搜榜首位。这款生成式模型自整合多项服务、优化用户对话交互以来，便备受关注。人工智能生成技术的持续突破引发了数百万人的好奇，使Gemini成为年度热门工具和热门搜索概念。对人工智能日常应用的痴迷以及对其能力边界的期待，主导了2025年初的搜索趋势，这标志着数字交互方式的一场变革。
。关于这个话题，爱思助手下载最新版本提供了深入分析
And yes, AI was involved. Azdoufal specializes in AI strategy; he got coding help from AI assistant Claude to change the communication protocol between DJI's servers and his Romo.
Жители Санкт-Петербурга устроили «крысогон»17:52
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