Stephen Wolfram

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

And so the kind of the question of, you know, first thing is people have to have an idea of what computation is about.

You know, I think it's a very, you know, for education, that is the key thing.

It's kind of this notion, not computer science, not sort of the details of programming, but just this idea of how do you think about the world computationally.

Computation

Thinking about the world computationally is kind of this formal way of thinking about the world.

We've had other ones like logic was a formal way, as a way of sort of abstracting and formalizing some aspects of the world.

Mathematics is another one.

Computation is this very broad way of sort of formalizing the way we think about the world.

And the thing that's cool about computation is if we can successfully formalize things in terms of computation, computers can help us figure out what the consequences are.

It's not like you formalized it with math.

Well, that's nice.

But now you have to, if you're not using a computer to do the math, you have to go work out a bunch of stuff yourself.

So I think, but this idea, let's see, I mean, we're trying to take

We're talking about natural language and its relationship to computational language.

The typical workflow, I think, is first, human has to have some kind of idea of what they're trying to do.

If it's something that they want to build a tower of capabilities on, something that they want to formalize and make computational.

So then human can type something into, you know, some LLM system and sort of say vaguely what they want in sort of computational terms.

Then it does pretty well at synthesizing Wolfram language code.

And it'll probably do better in the future because we've got a huge number of examples of natural language input together with the Wolfram language translation of that.