Earlier quoted context omitted.
>With LLMs, before being able to understand what everyone's talking about, there's a lot to know. There can be a sense of being left out. I think that can be demotivating. I find it to be the exact opposite. The idea of "Artificial Intelligence" as a thinking machine is fascinating. However, now that i learned a certain amount about this current neural network paradigm, the marketing magic of it as an intelligent sys…
The human brain is also dry big data statistical machinery. 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.