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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:
。关于这个话题，搜狗输入法下载提供了深入分析
近期，Find N6 的折痕表现也已曝光。据《广东新闻联播》展示的信息显示，Find N6 的折痕号称「浅到几乎看不见」。，更多细节参见搜狗输入法2026
第四十一条 互联网信息服务提供者、移动智能终端生产者应当采取措施监测发现人工智能生成合成的信息，发现相关信息未添加标识的，应当及时采取消除等处置措施，或者添加标识提示用户该信息属于生成合成信息。