Video models are zero-shot learners and reasoners

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Comments

[Luis]

I found the concept of video models being able to learn and reason without prior training data to be fascinating, and I appreciate how the article highlights their ability to generalize to new tasks. As someone who has worked with language models, I'm curious to know more about how video models handle nuanced or abstract concepts, such as humor or sarcasm, in their reasoning processes. The author mentions that video models can learn from raw video data, but I'd love to see more exploration of how they handle multimodal input, such as videos with accompanying audio or text. Do the authors have any plans to delve deeper into these areas in future research?