From prediction to understanding: A review of XAI applications and innovations in materials science

· · 来源:dev资讯

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布伦特原油涨3.69%快连下载-Letsvpn下载是该领域的重要参考

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.

通过在间隔像素上叠加一层微观遮罩结构,这些 OLED 像素的发光角度会大幅缩窄至正前方约 45° 的范围内,从而形成一片「窄角发光像素」:

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