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:
雷军在直播中表示，本次直播重点邀请安全专家解读专业内容，目的是让公众清晰了解事故调查的规范流程，小米将严格遵守监管要求，全力配合各类事故调查工作，坚守车辆安全底线。
。heLLoword翻译官方下载对此有专业解读
Parsimonious deep neural network models can be used for prediction of visual neuron responses.
广东潮州，千年古桥广济桥畔，广济楼巍然矗立。。Line官方版本下载对此有专业解读
for (int i = 0; i < n; i++) {，更多细节参见91视频
12:51, 27 февраля 2026Экономика