>But that's obviously not true, unless you're implying that any system that reproduces human behavior is necessarily conscious.
That could certainly be the case yes. You don't understand consciousness nor how the brain works. You don't understand how LLMs predict a certain text, so what's the point in asserting otherwise ?
>Yes, but your bird analogy fails to capture the logical fallacy that mine is highlighting. Plane wing design was an iterative process optimized for what best achieves lift, thus, a plane and a bird share similarities in wing shape in order to fly, however planes didn't develop feathers because a plane is not an animal and was simply optimized for lift without needing all the other biological and homeostatic functions that feathers facilitate. LLM inference is a process, not an entity, LLMs have no bodies nor any temporal identity, the concept of consciousness is totally meaningless and out of place in such a system.
It's not a fallacy because no-one is saying LLMs are humans. He/She is saying that we give machines the goal of predicting human text. For any half decent accuracy, modelling human behaviour is a necessity. God knows what else.
>LLMs have no bodies nor any temporal identity
I wouldn't be so sure about the latter but So what ? You can feel tired even after a full sleep, feel hungry soon after a large meal or feel a great deal of pain even when there's absolutely nothing wrong with you. And you know what ? Even the reverse happens - No pain when things are wrong with your body, wide awake even when you need sleep badly, full when you badly need to eat.
Consciousness without a body or hunger in a machine that does not need to eat is very possible. You just need to replicate enough of the sort of internal mechanisms that cause such feelings.
Go to the API and select GPT-5 with medium thinking. Now ask it to do any random 15 digit multiplication you can think of. Now watch it get it right.
Do you people not seriously understand what it is that LLMs do ? What the training process incentivizes ?
GPT-5 thinking figured out the algorithm for multiplication just so it could predict that kind of text right. Don't you understand the significance of that ?
These models try to figure out and replicate the internal processes that produce the text they are tasked with predicting.
Do you have any idea what that might mean when 'that kind of text' is all the things humans have written ?