Bridgerton Season 4, Part 2 picks up in the wake of Benedict's disastrous "proposal," and from the looks of the trailer, there's a lot of angsty yearning from both parties as Sophie takes some time to weigh her choices. Ben and Sophie don't go completely no-contact though, as the trailer also showcases a fair share of steamy scenes between the star-crossed lovers. On top of seeing how this delicious Cinderella story ends, Bridgerton Season 4, Part 2 will also see the return of Kate (Simone Ashley) and Anthony (Jonathan Bailey), as well as more sumptuous string covers of pop hits. — B.E.
I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5:
，详情可参考搜狗输入法2026
https://feedx.net
5️⃣ 归并排序 (Merge Sort)
，这一点在同城约会中也有详细论述
美國移民和海關執法局的執法行動亦屢次引起爭議，去年在洛杉磯的執法和拘捕行動惹起民眾不滿並引發大規模的抗議行動；而今年在明尼阿波利斯的執法行動中，執法人員開槍射殺兩名平民，同樣引來民眾的憤怒及觸發大規模街頭抗議。。服务器推荐对此有专业解读
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.