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:
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DataWorks 推出 ChatBI 能力，让业务分析师无需编写 SQL 或 Python，仅通过自然语言提问（如“上月销售额最高的区域是哪里？”），即可自动解析意图、生成查询逻辑并执行相应的python 或者 SQL任务。系统基于阿里云千问大模型，结合智能可视化引擎，自动生成图表与洞察，大幅降低数据分析门槛，让 Excel 用户也能轻松完成数据探索与决策支持。
許多專家因此分析，德國一貫的典型戰略便是在美中夾擊下尋求平衡：一方面需維持對華經濟聯繫，以緩解國內產業危機與就業壓力；另一方面繼續「去風險」，以防過度依賴中國關鍵供應鏈（如稀土與晶片出口管制）。，更多细节参见夫子
结论：在不确定性中构建非对称优势
國際滑雪聯合會（FIS）向BBC體育部聲明：「對於選擇參加多項賽事的運動員，賽程衝突有時難以避免。」，详情可参考safew官方版本下载