| For me, it is not really a time constraint. Wolfram is just on another level. I am not the smartest guy in the room and Wolfram pretty much always is. The coolest thing is chatGPT can actually help me understand this article and bring it down a notch. That to me is what Feynman was great at and Wolfram not so great at. Wolfram "We can think of the construction of computational language—and semantic grammar—as representing a kind of ultimate compression..." chatGPT:
The passage you have provided is talking about the idea that the construction of computational language (such as programming languages) and semantic grammar (a way of analyzing the meanings of words and phrases) allows us to compress language into its most basic, essential form. This means that we can talk about the essence of what's possible, without getting bogged down by the many nuances and variations that exist in human language. The author is suggesting that ChatGPT, as an example of a language model, has achieved a similar level of compression and abstraction in its ability to generate language. It can put together language in a semantically meaningful way, without getting hung up on the specific ways that humans might phrase things. In other words, it can focus on the essence of the message being conveyed, rather than being distracted by the many different ways that message could be phrased. This ability to abstract away from the specific details of language and focus on the essence of meaning is seen as a great strength of computational language and of language models like ChatGPT. It allows us to communicate more efficiently and effectively, and to focus on the underlying ideas and concepts being conveyed, rather than getting bogged down in the details of how they are expressed. I get what Wolfram is saying from the chatGPT explanation while there is something about the way Wolfram words things that leaves me confused. |