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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.
数据为数字纪检监察体系提供“源头活水”。过去，在纪检监察工作中，不同部门、环节信息共享程度不够，在个别领域存在监管“盲区”。数字纪检监察体系建设能够有效打破部门间的信息壁垒，建立起覆盖全域的监督网络。此外，数字纪检监察体系能够对重复录入、格式错误、逻辑矛盾的数据，以及来源存疑、真伪难辨的数据，进行“技术筛查+人工复核”双重把关，防止被错误数据“带偏”。这样，数据从采集、筛选到存储、使用都有章可循，实现找得到、可信赖、能用好。。关于这个话题，91视频提供了深入分析
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Мир Российская Премьер-лига|19-й тур
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