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另一方面，软件股的超卖现象也引发部分投资者关注抄底机会。一些机构认为，像微软这样的巨头仍有潜力在 AI 时代获益，但大多数中小型 SaaS 企业由于面临颠覆风险，其股价短期内波动幅度较大。市场分化明显，投资者需要区分 AI 领域的潜在赢家和输家。，这一点在safew官方版本下载中也有详细论述
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「像鬼一樣工作」：台灣外籍移工為何陷入「強迫勞動」處境
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.