The difference is knowledge. You know what an apple is. A LLM does not. It has training data that has the word apple is associated with the words red, green, pie, and doctor.
The model then uses a random number generator to mix those words up a bit, and see if the result looks a bit like the training data, and if it does, the model spits out a sequence of words that may or may not be a sentence, depending on the size and quality of the training data.
At no point is any actual meaning associated with any of the words. The model is just trying to fit different shaped blocks through different shaped holes, and sometimes everything goes through the square hole, and you get hallucinations.



Another factor here is that to make the most advanced chips, you need something called eleven 9 silicon. That’s silicon that’s 99.999999999% pure.
We can only artificially manufacture up to nine 9 silicon.
Eleven 9 has to be mined, and there’s only one spot in the world were it exists. A little town in North Carolina.
That’s why the US gets to say who can even attempt to manufacture advanced chips.