Tripping Robots and Human Coordination

It is amazing how denizens of the secular science industry are looking to use artificial intelligence to advance evolution, yet they ignore the conflict in the theories. That is, particles-to-programmer evolution is supposedly a trial-and-error unguided process, but AI requires intelligent design.

When robots work well to help us in highly repetitive or dangerous activities, domo arigato to them. But when they fail, it is often spectacular and possibly dangerous. Some secularists think AI robots can supplement or even replace humans.

Robot tripping and falling, made at DeepAI — but I did not ask for three arms
The field of biomimetics is studying creatures in nature and attempting to apply their traits for human use. If you study on it, having robots walk, dance, and so on is an example of biomimetics. It takes intelligence and money to have them imitate or surpass some human activities.

Centuries ago, I was going down some basement steps in my stocking feet. There were thin metal plates holding down the non-skid pieces on the steps. One plate snagged my sock and I hurtled forward toward my doom. Instantly, I grabbed the railings on each side and did not fall. All of those responses were built into me — into us — by the Master Engineer to work together. A similar coordination is when a child learns to walk and develops that skill far better than the abilities of AI.
The AI revolution has taken the world by storm, with some industries rushing to harness the perceived superior efficiency brought by these technologies. This technological race has seen a flurry of publications on methodologies suggesting how to minimize the need for human input into AI data processing systems and exploring mechanisms to improve the mechanical design of AI-powered robots.

But despite the rapid progress in artificial intelligence, time and again, AI systems continue to fall far short of human dexterity and fine-motor capability.

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