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Neuroscientist explains differences between AI and human learning

"Another difference is the sheer scale of data used to train AI. The GPT-3 model was trained on 400 billion words, mostly taken from the internet. At a rate of 150 words per minute, it would take a human nearly 4,000 years to read this much text."

(is the whole problem.

Taking in that much data?

An artificial Intelligence system would be able to learn on its own faster than we could keep up with what it is learning.

We've already had programmers tell us they've had systems doing things on their own that they weren't programed to do and they don't know why they were doing so.)