Stephen Wolfram

Well, yeah, I don't know.

There were computer science departments that existed earlier, but the broadening of every university had to have a computer science department.

Yes, I watched that, so to speak.

But I think the thing to understand is, okay, so first of all, there's a whole theoretical area of computer science that I think is great, and that's a fine thing.

In a sense, people often say any field that has the word science tacked onto it probably isn't one.

Strong words.

That one's an interesting one because that one is also very much, you know, that's a chat GPT-informed science in a sense because it's kind of like the big problem of neuroscience has always been we understand how the individual neurons work

We know something about the psychology of how overall thinking works.

What's the kind of intermediate language of the brain?

And nobody has known that.

And that's been, in a sense, if you ask what is the core problem of neuroscience, I think that is the core problem.

That is, what is the level of description of brains that's above individual neuron firings and below psychology, so to speak?

And I think what ChatGPT is showing us is, well, one thing about neuroscience is, you know, one could have imagined there's something magic in the brain.

There's some weird quantum mechanical phenomenon that we don't understand.

One of the important, you know, discoveries from ChatGPT is it's pretty clear, you know, brains can be represented perfectly.

pretty well by simple artificial neural net type models.

And that means that's it.

That's what we have to study.

Now we have to understand the science of those things.

We don't have to go searching for exactly how did that molecular biology thing happen inside the synapses and all these kinds of things.