Quinn with a reality check

"Humans are different. Despite some borrowing of nomenclature from biology, neural nets used in training AI have no human-style neurons. The difference shows. 

"We learn to talk and read and write with a minuscule dataset, and that process involves mimicry, emotion, cognition, and love. 

"It might also have statistical weighting, but if it does, we’ve never really found that mechanism in our minds or brains. It seems unlikely that it would be there in a similar form, since these AIs have to use so much information and processing power to do what a college freshman can with a bit of motivation. 

"Motivation is our problem, but it’s never a problem for AIs. They just go until their instructions reach an end point, and then they cease. AIs are unliving at the start, unliving in the process, and unliving at the end."

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