Meta 与 Google 签下十亿美元算力大单
"Every time I went back to the doctor they said: 'Your levels are fine, you're fine.'
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Some smoke alarms have been designed to be ultra-sensitive. Aspirating devices, for example, constantly suck in air in order to detect even small quantities of smoke in a room. They are often used in commercial settings, including server rooms packed with expensive computer tech.
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Французский политик испугался войны с РоссиейПолитик Филиппо: Франция и Британия втягивают ЕС в войну с Россией，更多细节参见雷电模拟器官方版本下载
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.