Physical AI should include AI-augmented human intelligence via lifelong cognitive symbionts that close cognitive gaps through sensing, context retention, and proactive assistance, requiring embedded governance.
For a decade, progress in artificial intelligence has been measured by how much a machine can do on its own. Large foundation models now write code and run multistep tasks, and personal agents act on a person's behalf. Yet people still forget what they once knew, miss what they are not looking at, fail to find the right words, and face hard choices without the benefit of their own history, because the machine that could help stands outside the situation. As AI moves into the physical world, attention has settled on one kind of intelligent individual, the embodied robot; we argue that the era of Physical AI holds a second kind of equal importance, the person augmented by AI. Alongside…
foundation modelsembodied robotPhysical AIAI-augmented human intelligencecognitive symbiontworking memorycognitive gapsymbiosis looppersonal runtime
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- Nov 3, 2026
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.