The Four Walls: Why Embodied AI Isn't AI's Next Step — It's Its Hardest One
The LLM playbook gives people the wrong intuition: that crossing from digital to physical is just "scale once more." It isn't. Embodied AI hits four walls of different natures — data (scale can grind it down), safety (liability), reliability (physics), economics (accounting). Only the first yields to scale. Underneath sits Moravec's paradox: what's easy for humans is brutal for machines.
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