The idea of bridging or mapping from one high dimensional space to another is a very powerful idea. I think it's always best to try to take advantage of that as much as possible, especially in the cases that you may not have enough data. It seems like all these things are kind of learning similar world models under the same conditions. And there's a lot of opportunity there to explore what you know the differences between these different representations and how they can be used for different applications.

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