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.
这种消费心理的差异，本质上是为过程付费与为结果买单的区别。欧美游客愿意为船上的时间付钱，而中国游客更倾向于为下了船看到了什么而付钱。。safew官方下载对此有专业解读
Submission history From: Ryan Gibb [view email]，这一点在旺商聊官方下载中也有详细论述
「像鬼一樣工作」：台灣外籍移工為何陷入「強迫勞動」處境
中游的优势在于规模效应显著，边际成本随业务扩张不断递减，且客户迁移成本高，黏性极强。但行业竞争激烈的同时，也潜藏着两大风险：一是价格战频发，压缩盈利空间；二是高度依赖下游需求持续性，若AI应用商业化进程延迟，算力租赁需求可能出现下滑。