Fixed time budget. Training always runs for exactly 5 minutes, regardless of your specific platform. This means you can expect approx 12 experiments/hour and approx 100 experiments while you sleep. There are two upsides of this design decision. First, this makes experiments directly comparable regardless of what the agent changes (model size, batch size, architecture, etc). Second, this means that autoresearch will find the most optimal model for your platform in that time budget. The downside is that your runs (and results) become not comparable to other people running on other compute platforms.
Sora和Veo追求的是“模拟一个真实的世界”，而Seedance 2.0追求的是“构建一个可控的片场”。对于需要快速产出、对真实感要求极高的短内容，Veo 3.1的原生音画同步可能是更优选。但对于需要精细控制角色表演、镜头语言和艺术风格的专业创作者，Seedance 2.0提供的“导演模式”无疑更具吸引力。
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2026-03-09 11:00:00
The venerable Sun NVRAM/hostid FAQ can be consulted to find details of the replacement part, which is specified for the IPX as being M48T02