Stephen Wolfram

How elaborate can you make the natural language and abstract from it computational language?

It's a very interesting question.

And, you know, what ChatGPT, you know, GPT-4 and so on can do is pretty good.

It's a very interesting process.

I mean, I'm still trying to understand this workflow.

We've been working out a lot of tooling around this workflow.

The natural language to computational language process, especially if it's conversation, like dialogue.

It's like multiple queries kind of thing.

Yeah, right.

There's so many things that are really interesting that work and so on.

So first thing is, can you just walk up to the computer and expect to sort of specify a computation?

What one realizes is humans have to have some idea of kind of this way of thinking about things computationally.

Without that, you're kind of out of luck because you just have no idea what you're going to walk up to a computer.

I remember when I should tell a silly story about myself.

The very first computer I saw, which was when I was 10 years old, and it was a big mainframe computer and so on, and I didn't really understand what computers did.

And it's like, somebody was showing me this computer and it's like, can the computer work out the weight of a dinosaur?

It's like, that isn't a sensible thing to ask.

That's kind of, you have to give it, that's not what computers do.

I mean, from Alpha, for example, you could say, what's the typical weight of a Stegosaurus?

And it will give you some answer, but that's a very different kind of thing from what one thinks of computers as doing.