AI Skipped Childhood

AI has a massive blind spot that nobody is talking about.

LLMs lack physical intuition. The kind you and I started learning as infants.

When you dropped something onto the ground, you learned what would happen. Think about pouring water versus maple syrup. Or playing with a blanket versus aluminum foil. You saw, heard, felt, smelled, and may have even tasted some of these experiences.

AI never had that childhood.

This matters more than most people realize. When AI tackles physical or mechanical problems, it often provides a confident answer that creates the illusion of understanding, but falls apart the moment you apply common sense. What it proposes may be completely infeasible in the real world.

The way AI processes information is different also. When researchers asked AI to model planetary motion, it did so purely based on pattern recognition. It did not discover underlying scientific principles the way a curious human would.

AI's computational power masks a fundamental gap: while it excels at pattern matching and analysis, it lacks the deep physical understanding humans develop naturally from birth through constant interaction with the world around them.

At Archimedic, we use AI as a collaboration partner and productivity booster. But we have also seen first-hand its limitations in human factors and mechanical problem-solving, and we think more people should be aware so they can proceed with caution.

So the next time you ask AI to solve a physical problem for you, look closely at the output. Does it pass the common sense test? Your lifetime of physical experience is invaluable, and something AI simply doesn't have.

Aaron Pavkov
Chief Innovation Officer