# The next page in the book of AI evolution is here, powered by GPT 3.5, and I am very, nay, extremely impressed **URL:** \ **Category:** Cafe Society\ **Tags:** ai\ **Created:** [December 2, 2022, 10:54pm UTC](https://boards.straightdope.com/t/the-next-page-in-the-book-of-ai-evolution-is-here-powered-by-gpt-3-5-and-i-am-very-nay-extremely-impressed/975945 "2022-12-02T22:54:31Z")\ **Posts on this page:** 1\ **Showing post:** 1375
**Author:** ![Half\_Man\_Half\_Wit](https://sea3.discourse-cdn.com/straightdope/user_avatar/boards.straightdope.com/half_man_half_wit/32/21766_2.png) [@Half\_Man\_Half\_Wit](https://boards.straightdope.com/u/Half_Man_Half_Wit)\ **Post date:** [March 30, 2023, 4:37am UTC](https://boards.straightdope.com/t/the-next-page-in-the-book-of-ai-evolution-is-here-powered-by-gpt-3-5-and-i-am-very-nay-extremely-impressed/975945/1375 "2023-03-30T04:37:50Z")
> [@Snarky\_Kong](#): > > Prove those are different. [I already have.](https://boards.straightdope.com/t/why-chatgpt-doesnt-understand/980404) But this isn’t really a contentious assertion. Take the [discussion here](https://www.sciencedirect.com/science/article/abs/pii/S0911604416301063): > In philosophy of language, a distinction has been proposed by Diego Marconi between two aspects of lexical semantic competence, i.e. inferential and referential competence (Marconi, 1997). One aspect of lexical competence, i.e. inferential competence, is the «ability to deal with the network of semantic relations among lexical units, underlying such performances as semantic inference, paraphrase, definition, retrieval of a word from its definition, finding a synonym, and so forth» (Marconi, 1997, p. 59). For instance, we know that a _cat_ is an _animal_, we can verbally describe the differences between a _cat_ and a _dog_, we can recover the word _cat_ from a definition such as _The animal that meows_, and so on. Such “intralinguistic” abilities are semantic because, in order to exercise them, a speaker must possess an internalized network specifying semantic connections between a given word (e.g., _cat_) and other words of a natural language (e.g., _animal_, _meow_). > > The second aspect of lexical competence, i.e. «referential competence», cognitively mediates the relation between words and entities of the world. For example, we have the ability to classify a given perceived object as a _cat_ or to distinguish it from a _dog_, to recognize and name a picture of a cat, and so on. Clearly, we can speak of referential competence only relative to words that refer to objects, properties or events we can perceive (e.g., _cat_, _red_, _hot_). --- _[View the full topic](https://boards.straightdope.com/t/the-next-page-in-the-book-of-ai-evolution-is-here-powered-by-gpt-3-5-and-i-am-very-nay-extremely-impressed/975945)._