<em>Perspective</em>: Multi-shot LLMs are useful for literature summaries, but humans should remain in the loop

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These are meaningful improvements, and some are clearly already underway. We'd love to see Google go further and retroactively audit existing impacted keys and notify project owners who may be unknowingly exposed, but honestly, that is a monumental task.

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2026-02-28 00:00:00:03014270810http://paper.people.com.cn/rmrb/pc/content/202602/28/content_30142708.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/28/content_30142708.html11921 2026年全国两会新闻中心启用。关于这个话题,夫子提供了深入分析

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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: