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In humans, language is based on the state of the world, and anticipates future states of the world. In an LLM, language is just language.

If an LLM says "my favorite flavor of ice cream is cookie dough", it's just a statistically plausible thing to say.

If I say "my favorite flavor if ice cream is cookie dough", it's because I'm trying to deceive someone, because for some reason I don't want them to know my real favorite flavor is cake batter.

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You haven't identified any difference. In order to generate a really good statistically plausible thing to say you need a model of the state of the world and anticipated future states. This is very well known. I wish we didn't need to keep going over this basic stuff, but it somehow comes up again and again every time AI is discussed here.

Of a world, not necessarily the real world. One of the main drawbacks of philosophical rationalism is a mind's ability do deceive itself with constructs that sound plausible and are consistent with the world model. A healthy dose of empiricism is the best cure discovered so far.

In other words, less thinking and more experiments and observations. Thinking alone leads to ignorance.

No, a model of the real world. Not necessarily an accurate no model.

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