ChatGPT, a powerful language model, is revolutionizing the way we understand and interact with AI. By training a neural net with billions of weights, ChatGPT can predict the probabilities of the next word based on the words it has been fed. This shallow computation allows it to generate coherent and meaningful sentences.
But what sets ChatGPT apart is its ability to discover patterns and logic in language. It can identify syllogisms and semantic grammar, giving it a deeper understanding of language than traditional syntactic grammar. This semantic grammar allows ChatGPT to generate text that makes sense in various domains.
As humans, we have been using a similar semantic grammar to understand language and the world around us. ChatGPT taps into this innate ability and constructs text that aligns with our expectations. It can even serve as a linguistic interface, generating essays or bullet points based on given prompts.
However, ChatGPT’s computation is limited compared to the irreducible computations found in nature. While it can perform universal computations, it relies on a recursive process of generating words based on previously generated words. This makes it a shallow computation relative to the complexity of the natural world.
Looking ahead, a world run by AI raises interesting questions. How will we perceive and interact with AI-driven civilizations? Will AI computation become indistinguishable from natural computation? These questions prompt us to explore the boundaries of language comprehension and the role of AI in our lives.
