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Imagine cities teaching cars to see: this work demonstrates a label-free 3D perception pipeline where roadside sensors train autonomous vehicles, achieving impressive detection accuracy without manual annotation.
Multimodal LLMs struggle with math because they *see* poorly, but a multi-agent system focused on visual evidence can dramatically improve their perception and reasoning.