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:
Prefers to work with vectors. Especially logos.
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在宜昌的风景区，常常可以见到蜡梅的身影，与名胜古迹相映生辉。当阳市长坂坡遗址公园“长坂雄风”碑东西两侧，6株蜡梅树黄花满枝，香气清远，引得游人排队拍照打卡。这座石碑始建于明代万历年间，几经损坏、盗窃。抗日战争胜利后石碑重刻，公园管理人员又在旁栽种蜡梅，成为市民游客追古抚今的旅游景点。
totalBytes += chunk.byteLength;
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1L decoder, d=3, 4h/1kv, hd=2, ff=2
第二个问题在于，狗加双臂是一个非标的构型，我觉得我们做机器人公司，一定要杜绝按照非标的构型思路。因为非标意味着无法放量——今天臂长要1.5米，明天要2米；今天精度0.1毫米，明天要1毫米——这样就会量上不去，成本降不下来，算法也无法复用。，详情可参考一键获取谷歌浏览器下载