ByteBrief
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Founders in physical AI are split between data-driven and architecture-first approaches. Data-first teams follow LLM scaling playbooks, gathering massive datasets for skills like manipulation. Architecture-first teams prioritize real-world deployment and system design. Both approaches have strong backing and lead to different commercialization paths.
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