It takes a body to understand the world, and words have meaning because people use them to make sense of the word, write ASU and USCD psychology researchers.
. Although GPT-3 did better than the older model, it was significantly worse than humans. It got the three scenarios mentioned above completely wrong.
GPT-3, the engine that powered the initial release of ChatGPT, learns about language by noting, from a trillion instances, which words tend to follow which other words. The strong statistical regularities in language sequences allow GPT-3 to learn a lot about language. And that sequential knowledge often allows ChatGPT to produce reasonable sentences, essays, poems and computer code.in human language, it doesn’t have the foggiest idea what any of those words mean to a human being.
Humans are biological entities that evolved with bodies that need to operate in the physical and social worlds to get things done. Language is a tool that helps people do that. GPT-3 is an artificial software system that predicts the next word. It does not need to get anything done with those predictions in the real world.The meaning of a word or sentence is: people’s abilities to act, to perceive and to have emotions. Human cognition is empowered by being embodied.
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