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:
16:54, 27 февраля 2026Экономика
。关于这个话题，搜狗输入法2026提供了深入分析
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
Цены на нефть взлетели до максимума за полгода17:55
可“江湖”的惯性，远比一次功能更新更持久。某二手交易平台上，虚拟商品依旧活跃；新产品推出的“楼层级定位”“更强社交功能”，又在为这个数字小世界增添新的复杂度。这不禁令人思考：当功能性产品在技术的加持下不断强化“社交”属性，谁来为孩子们的“纯粹成长”留一方空间？