字节跳动内部不同团队做同一方向的“赛马”，豆包按预训练与后训练流程划分小团队，都是这种工业化思维的体现。
问题在于，具身智能没有大模型那样的数据体量去覆盖所有光照变化。但换个思路，如果模型能关注局部信息——比如只锁定每瓶水的外观特征，而不关心背景、光线、桌子颜色——就能避免被全局变化干扰。这正是我们做“热力图”的出发点：让模型聚焦操作对象本身，而不是整个画面。
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It would require a well-defined and safe-to-run subset of the language
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