The brain is such an intractable web of connections that it has been really difficult to properly make sense of it.
We can't really talk too much about the differences between the intelligence of a dog and the intelligence of a human; in real terms. It seems as though humans might have more connections, different types of cells but then again; there's species out there that also have types of neurons we don't have and more dense regions in areas of the brain than we do.
And on top of that, dive into a single neuron and you will find a world of complexity. The reason why a neuron might fire or not given a stimuli is an extremely complicated and often stochastic process; that's actually one of the reasons why we use non-linearities in the neural networks we create. But how nuance are we really capturing?
The reason we do mathematics the way we do has well studied neurological patterns, we come out of the box with understandings of the world. And many animals do, actually, similar neurological patterns are found in different species.
It's incredible to think of the precision and the complexity of the tasks a fly undertakes during their life, and we actually have mapped the entire brain (if we can call it that, i would) of a fly. Every neuron and every connection the fly has. There's experiments done with neural networks where we've tried to imitate these (the brain of a fly has less parameters [number of nodes and edges] than modern LLMs) with very interesting results. But can we say we understand them? Not really.
And finally, I want to bring up something that's not usually considered when it comes to these things but there's a lot of processes at the molecular level in our cells that actually make use of quantum mechanics, there's a whole field of biology that's dedicated to studying these processes. So yeah, I mean, maybe we can build it but first we need to understand what's going on and why, I believe.
What processes in our cells make use of quantum mechanics? (I mean in some sense everything is quantum mechanics, but cells are quite big in a quantum mechanics sense. I’d imagine they are mostly classical).
We can't really talk too much about the differences between the intelligence of a dog and the intelligence of a human; in real terms. It seems as though humans might have more connections, different types of cells but then again; there's species out there that also have types of neurons we don't have and more dense regions in areas of the brain than we do.
And on top of that, dive into a single neuron and you will find a world of complexity. The reason why a neuron might fire or not given a stimuli is an extremely complicated and often stochastic process; that's actually one of the reasons why we use non-linearities in the neural networks we create. But how nuance are we really capturing?
The reason we do mathematics the way we do has well studied neurological patterns, we come out of the box with understandings of the world. And many animals do, actually, similar neurological patterns are found in different species.
It's incredible to think of the precision and the complexity of the tasks a fly undertakes during their life, and we actually have mapped the entire brain (if we can call it that, i would) of a fly. Every neuron and every connection the fly has. There's experiments done with neural networks where we've tried to imitate these (the brain of a fly has less parameters [number of nodes and edges] than modern LLMs) with very interesting results. But can we say we understand them? Not really.
And finally, I want to bring up something that's not usually considered when it comes to these things but there's a lot of processes at the molecular level in our cells that actually make use of quantum mechanics, there's a whole field of biology that's dedicated to studying these processes. So yeah, I mean, maybe we can build it but first we need to understand what's going on and why, I believe.