# Ask ChatGPT how many r's are in the word strawberry

**URL:** <https://boards.straightdope.com/t/ask-chatgpt-how-many-rs-are-in-the-word-strawberry/1006331>\
**Category:** Miscellaneous and Personal Stuff I Must Share\
**Created:** [August 27, 2024, 9:44pm UTC](https://boards.straightdope.com/t/ask-chatgpt-how-many-rs-are-in-the-word-strawberry/1006331 "2024-08-27T21:44:11Z")\
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**Author:** ![Mangetout](https://sea3.discourse-cdn.com/straightdope/user_avatar/boards.straightdope.com/mangetout/32/19_2.png) [@Mangetout](https://boards.straightdope.com/u/Mangetout)\
**Post date:** [August 31, 2024, 8:51pm UTC](https://boards.straightdope.com/t/ask-chatgpt-how-many-rs-are-in-the-word-strawberry/1006331/78 "2024-08-31T20:51:53Z")

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> [@wolfpup](#):
>
> I think at some point one has to acknowledge that “apparent” reasoning skills of LLMs have been demonstrated so often in so many different contexts that the argument that it’s just some sort of illusion from elaborate pattern matching has to be abandoned. I think we’re way past that point.

I think you’re right, although it’s still not uncommon to encounter the ‘just an elaborate autocomplete’ argument. I believe what we’re seeing is that _some level of reasoning_ is an emergent function of the ability to use the language coherently - that is, some of the capacity of human thinking is built into our languages.

Robert Miles described chat LLMs as (I’m paraphrasing from memory): a programming environment where the programming language is _English_ and where the program and data are one and the same. It’s like an implementation of how language is used to perform cognitive processes, but ported onto a different architecture.

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