Put another way, LLMs are good at talking like they are thinking. That can get you pretty far, but it is not reasoning.
Put another way, LLMs are good at talking like they are thinking. That can get you pretty far, but it is not reasoning.
It's true that if it's not producing text, there is no thinking involved, but it is absolutely NOT clear that the attention block isn't holding state and modeling something as it works to produce text predictions. In fact, I can't think of a way to define it that would make that untrue... unless you mean that there isn't a system wherein something like attention is updating/computing and the model itself chooses when to make text predictions. That's by design, but what you're arguing doesn't really follow.
Now, whether what the model is thinking about inside that attention block matches up exactly or completely with the text it's producing as generated context is probably at least a little dubious, and its unlikely to be a complete representation regardless.
How so? Transformers are state space models.
Drive my wife crazy as my answer to her questions are always really slow and considered. I have the first think what thought I want to convey, and then think “how do I translate this into words?”