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:
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Gemini for Home now uses updated models to improve the quality and accuracy of answers too and will more reliably play newly-released songs. Other key updates include better targeting for smart home devices by room, house and device, reduced instances of cutting off a speaker prematurely, better reliability for user-created automations by voice and more. Too see all those changes, check out Google Home's latest changelog,
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抗議最初源於飛漲的生活成本，隨後聚焦整個政權，許多人將困境歸咎於其政策。自抗議爆發後，經濟情勢進一步惡化。
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