As meaning-makers, we use spoken or signed language to understand our experiences in the world around us. The emergence of generative artificial intelligence such as ChatGPT (using large language models) call into question the very notion of how to define “meaning.”

One popular characterization of AI tools is that they “understand” what they are doing. Nobel laureate and AI pioneer Geoffrey Hinton said: “What’s really surprised me is how good neural networks are at understanding natural language — that happened much faster than I thought…. And I’m still amazed that they really do understand what they’re saying.”

Hinton repeated this claim in an interview with Adam Smith, chief scientific officer for Nobel Prize Outreach. In it, Hinton stated that “neural nets are much better at processing language than anything ever produced by the Chomskyan school of linguistics.”

Chomskyan linguistics refers to American linguist Noam Chomsky’s theories about the nature of human language and its development. Chomsky proposes that there is a universal grammar innate in humans, which allows for the acquisition of any language from........

© The Conversation