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:
Second, audit your tools on a regular basis. Even platforms that market themselves as bias-reducing need ongoing scrutiny. Training data can carry biases that aren't immediately apparent, and the only way you'll catch them is by actively looking.
。业内人士推荐搜狗输入法作为进阶阅读
2021年2月25日，习近平总书记在全国脱贫攻坚总结表彰大会上庄严宣告：我国脱贫攻坚战取得了全面胜利。。体育直播是该领域的重要参考
Credit: Stan Schroeder/Mashable。关于这个话题，体育直播提供了深入分析