Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.
生成一条完整的品牌广告视频，背后要串联的东西远比你想象的多：生成场景、控制镜头运动、保持角色跨镜头的一致性、合成对话、设计音效、最后做后期。每一步都是独立的模型，每个模型的接口格式、错误处理、响应速度都不一样。没有一个统一的编排层把这些串起来，工程师会把大半时间花在"管道"上，而不是产品本身。a16z认为，谁能做好这个编排层，谁就拿到了生成式媒体基础设施里最稳定的一块——不是最耀眼的，但最难被替代。
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addSolidGeometry(new THREE.ExtrudeGeometry(shape, extrudeSettings));
与此呼应，各省份的研发人员规模同样整体上涨，只有海南、青海出现回落情况。从增幅来看，变动较大的省份集中在腰部以下区间，这是由于规模基数较小；而北京、上海、江苏、山东四个研发人员规模已达十万级的省份，增幅也超过整体水平（43.23%）。这意味着，