The frontier models (of which R1 is an example) « think » in much the same way a human would - look at their chain of thought output). I think if you shut down LLMs in your head because you think you « understand » them and there’s nothing interesting there, then you’re blinded by hubris.
This is the kind of current rhetoric that has me not coming to HN as often.
Any neurobiologist would laugh at the notion that the brain is a big dry statistical machinery.
Classic case of engineers talking outside of their expertise.
I am no expert, and I am well aware that even experts have much to learn about it. It is interesting in its own way, like statistics is too. I don't feel like that changes anything.