Earlier quoted context omitted.
I don't see a strong argument here. Are you saying there is a level of complexity involved in biological systems that can not be simulated? And if so, who says sufficient approximations and abstractions aren't enough to simulate the emergent behavior of said systems? We can simulate weather (poorly) without modeling every hydrogen atom interaction.
The argument is about causation or generation, not simulation. Of course we can simulate just about anything, I could write a program that just prints "Hello, I'm a conscious being!" instead of "Hello, World!". The weather example is a good one: you can run a program that simulates the weather in the same way my program above (and LLMs in general) simulate consciousness, but no one would say the program is _causing_…
Does it matter? Is a dog/cow/bird/lizard conscious in the same way a human is? We're built from the same basic parts, and yet humans seem to have a higher state of consciousness than other animals around us.
For example the definition of the word conscious is
>aware of and responding to one's surroundings; awake.
I'll give that we likely mean this in a general sense, but I'd say we're pretty close to this with machines. They can observe the real world with sensors of different types, and then either directly compute, or use neural nets to make generalized decisions on what is occurring around them, then proceed to act on those observations.