Physical-world automation faces death by paper cuts

Every time the AI community tries to cross from the digital world to the real world it runs into 10,000 problems thought to be paper cuts that sum to fatal blood loss—as with self-driving cars showing promising growth then grinding slow scaling—which is why physical-world productivity gains will compound slower than optimists claim (e.g. industrial robot hands trained by reinforcement learning achieve only ~60% success).