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Because it can actually extrapolate to unseen cases while maintaining realism.


Ah yes, the classic “because it can” argument. I’ll take that to mean you don’t know what you’re talking about.


It seems you are confusing this with a personal opinion. This is not my opinion. This is merely the consensus of current research.

See here for example:

[1] https://arxiv.org/pdf/2410.18072

[2] https://arxiv.org/pdf/2411.02914v1

[3] https://openai.com/index/video-generation-models-as-world-si...

But even if you knew nothing about this topic, the observation that you simply couldn't store the necessary amount of video data in a model such that it could simply regurgitate it should give you a big clue as to what is happening.




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