This is what LLM (and AI in general) naysayers are missing.

LLMs will likely never get us to 100% solutions on a large class of problems.

But! A lot of problems can be converted into versions with a subcomponent that LLMs can solve 100% of.

And the fusion of LLMs doing 100% of that subportion + humans doing the remainder = increased productivity.

Re-engineering problems to be LLM-tolerant, then using LLMs to automate that portion of the problem, is the winning approach.

So you think machines running statistical inference have awareness.

That's quite the embarassment if you actually mean it.

I said nothing of the sort

OK, so you have your own definition of knowledge. Please share it.