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:
「這實際上可能很危險，」巴特爾說。 「你實際上是在鼓勵它產生幻覺，因為你告訴它它是專家，它應該相信它內部的參數知識。」本質上，這會讓AI表現得過於自信。
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集市热热闹闹，总也走不完，像春节庙会。小时候见过扭秧歌、跑旱船、踩高跷，也看放烟花，像看唱戏一样。晚上冻得嘶嘶哈哈，杵在那儿。玩火药的蔡国强，我老感觉见过——冬拍了太多名人，照片多是我挑，挑来挑去，成了老熟人，好像街坊邻居。。关于这个话题，Line官方版本下载提供了深入分析
Жители Санкт-Петербурга устроили «крысогон»17:52