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:
为了「巴拿马项目」，Anthropic 还专门聘请了 Tom Turvey 来主持这项工作。Turvey 曾参与创建谷歌图书项目，那个项目同样因大规模扫描书籍引发了长达多年的版权争议。Anthropic 选择这个人来主导这件事，很难说是一种巧合。
。关于这个话题，搜狗输入法下载提供了深入分析
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构建项目后，Wire 会自动在配置的输出目录生成对应的 Kotlin 实体类。我们不需要手动执行任何额外命令。，推荐阅读夫子获取更多信息
（一）非法种植罂粟不满五百株或者其他少量毒品原植物的；
（四）围攻裁判员、运动员或者其他工作人员的；，详情可参考heLLoword翻译官方下载