Here's a great breakdown on the difference between Vision Language Models (VLM) and Video-Action Models (VAM)
VLMs and VAMs are incredibly powerful. They shine at perception, retrieval, search, and semantic understanding.
If you want to find, classify, or reason about what’s in the world, VLMs are unmatched.
But Physical AI breaks on something else: motion, causality, and dynamics.
That’s where video data and World Models come in.
They learn how the world evolves over time, not just what objects are called.
The future is not VLM or World Models. It’s both.
VLMs to understand and retrieve reality. World Models to simulate it, stress it, and train agents inside it.
Different tools. Different layers. Same goal: machines that actually work in the real world.
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