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.
On top of this, I built a trivial state machine: a boolean flag representing whether the user was currently speaking or listening. When the system detected the end of speech, it played a pre-recorded WAV file back to the caller. When speech resumed, it sent a clear signal over the Twilio WebSocket to flush any buffered audio and stop playback immediately.。关于这个话题，51吃瓜提供了深入分析
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ジミ・ヘンドリックスはギタリストとしてだけではなくエンジニアとしても優秀だった
京东京造前不久刚上线的第二批自研AI玩具，最大的看点就是新开发了针对年轻人和老年人的AI玩具，比如专为银发设计的“唠唠鹰”，具备紧急呼救、京东健康服务联动等各种安全功能，而且支持支持天津话、四川话、广东话等多种主流方言识别。