If that was a valid criticism of its intelligence, Stephen Hawking would have spent most of life categorised as a vegetable.

Stephen Hawking lost the capacity to move because his ALS paralyzed him, not because his brain lacked the capacity to do so, come on this has to be the worst analogy of the year. Also no, driving systems are not LLMs. LLMs are large language models, no existing self driving system runs on a language model. And also, that's not what the word "tautology" means. "All bachelors are unmarried" is a tautology.

Ah, you wrote unclearly, it sounded like you were asserting that no system was an LLM rather than no driving system.

So while your claim is still false, I will accept that it isn't tautologically so.

Likewise, I am demonstrating that the actual definition you're using here is poor due to the consequence of it ruling out Stephen Hawking, and that goal means that the reason why he couldn't do things is unimportant: you still ruled him out with your standard.

Transformer models are surprisingly capable in multiple domains, so although ChatGPT hasn't got relatively many examples of labeled motor control input/output sequences and corresponding feedback values, this was my first search result for "llm robot control": https://github.com/GT-RIPL/Awesome-LLM-Robotics (note several are mentioning specifically ChatGPT).

There are millions of people who cannot do any of those things, never could and will never be able to.

At any rate, language models are in fact able to do those things.

https://tidybot.cs.princeton.edu/

https://deepmind.google/discover/blog/rt-2-new-model-transla...

https://wayve.ai/thinking/lingo-natural-language-autonomous-...