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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2026提供了深入分析
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圖像加註文字,楊振年認為寵物犬友善婚宴有發展空間。但狗隻准入餐廳新政能為香港餐飲業帶來多大的收入增長?楊振年表示這十分視乎餐廳類型,很難給出預測數字。