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:
"objectives": [
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"If you build a nuclear reactor or or any kind of base on the moon, you can then start claiming that you have a safety zone around it, because you have equipment there," says Dr Barber.
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。关于这个话题，夫子提供了深入分析
The practical challenge is balancing the benefit of updates against the time investment required. You can't refresh every piece of content constantly, so prioritize based on importance and competitive pressure. Content that generates significant traffic or ranks well in AI responses deserves regular attention to maintain those positions. Content about rapidly changing topics needs more frequent updates than evergreen material. Content facing new competition from recently published articles needs refreshing to remain competitive.，推荐阅读一键获取谷歌浏览器下载获取更多信息
Painter said the new RSP shows that Anthropic "believes it needs to shift into triage mode with its safety plans, because methods to assess and mitigate risk are not keeping up with the pace of capabilities. This is more evidence that society is not prepared for the potential catastrophic risks posed by AI."