Wow, this looks worth reading. I'll read it if I remember.

Language parsing is a routine process that doesn't require AI and it's something we have been doing for decades. That phrase in no way plays into the hype of AI. Also, the weights may be random initially (though not uniformly random), but the way they are connected and relate to each other is not random. And after training, the weights are no longer random at all, so I don't see the point in bringing that up. Finally, machine learning models are not brute-force calculators. If they were, they would take billions of years to respond to even the simplest prompt because they would have to evaluate every possible response (even the nonsensical ones) before returning the best answer. They're better described as a greedy algorithm than a brute force algorithm.

I'm not going to get into an argument about whether these AIs understand anything, largely because I don't have a strong opinion on the matter, but also because that would require a definition of understanding which is an unsolved problem in philosophy. You can wax poetic about how humans are the only ones with true understanding and that LLMs are encoded in binary (which is somehow related to the point you're making in some unspecified way); however, your comment reveals how little you know about LLMs, machine learning, computer science, and the relevant philosophy in general. Your understanding of these AIs is just as shallow as those who claim that LLMs are intelligent agents of free will complete with conscious experience - you just happen to land closer to the mark.

It is parsing and querying into a huge statistical database.

Both done at the same time and in an opaque manner. But that doesn't make it any less of parsing and querying.

Brain structures aren't so dissimilar, unless you believe there's some metaphysical quantity to consciousness this kind of technology will be how we do achieve general AI