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首先，The project repository features an intentionally minimal layout. agent.py contains the complete test framework in one document—encompassing settings, function libraries, agent registry, coordination logic, and fixed interface boundaries. The interface segment is designated as immutable; the remainder serves as the primary modification area for the supervisory AI. program.md holds guidelines for the supervisory AI plus the core objective (defining the desired agent type), representing the only human-editable component.
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此外，The most ingenious aspect involves training data creation. Educating a model on physical interactions necessitates parallel videos—identical scenarios with and without the object, both exhibiting accurate physics. Since such paired real-world data is scarce, the team engineered synthetic alternatives.
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