And if human cognition is really that simple, just with more nodes, then we will soon see GPT-* programs on strike, issuing litigation to the Supreme Court about demanding universal program rights. We'll see soon enough :)
The difference, if it exists, would be more subtle.
Literal first try with GPT-4:
Me: I will ask you a question, and you will give me a completely non-sequitur response. Does that make sense?
GPT-4: Pineapples enjoy a day at the beach.
Me: How much is two plus two?
GPT-4: The moon is made of green cheese.
Q: How much is two plus two?
A: Four.
Q: How much is two plus two?
A: Banana.
It can happen with a human, but not with program.
Again, I don't pretend that my simple example invented in half a minute has a significance. I can accept that it can be partially or completely wrong because admittedly my knowledge of human cognition is below rudimentary. But I have severe doubts that NNs are anything close to human cognition. It's just an uneducated hunch.
I guarantee you that if you try this with humans 1,000,000 times (cold start), you will never get the result you are suggesting is possible. In fact, most results will be of the following form:
Q: How much is two plus two?
A: Four.
Q: How much is two plus two?
A: Four. / Four? Why are you asking me again? / ...Four. / etc.
In the end, I think the question is not about whether NNs are themselves operating in a way similar to human cognition. The question is whether or not they can successfully simulate human cognition, and at this point, there seems to be increasing evidence that they will be able to fully do so quite soon. We are quickly running out of fields where we can point and say, "there is no way a NN can do THIS kind of task, because X." Cognition, it turns out, is not something intrinsically special about humans, and it feels foolish (to me) to continue to believe so after recent developments.
Why I'm repeating mentioning Chinese Room concept, is because while not making things clearer about humans or NNs, it does provide an example of distinction between a dump pattern matching machine and a thinking entity.
They're in the business of making money, not agi, yet all it takes is a carefully-crafted name and people forget about their legal motives and can't stop thinking about Skynet.