The real gap between AI and human cognition is what happens after a judgment is made.

A consequence structure lets judgment reshape identity, something humans have and machines don't.

We can't test whether anything is truly at stake for AI's accuracy.

Human intelligence and artificial intelligence don't differ simply in how they think. They differ in what happens after a thought is made. For years, I've called these two forms of cognition different axes, not different points on the same scale.

What Is the Difference?

Large language models function in tens of thousands of dimensions, finding meaning from geometry. A person works through time, finding meaning in memory and risk. The comparison people commonly seek, better or worse, smarter or dumber, misses the shape of the problem. Different is a claim that begs the question.........

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