Stephen Wolfram

And maybe that's what we have to do to make sort of a spoken version, a human language

speakable version, because what we can do visually is a little different than what we can do in the very sequentialized way that we hear things in the audio domain.

Yeah, what happens to computer science?

Like, really?

This is the question.

This is, you know, everybody should learn kind of whatever CX really is, okay?

This how to think about the world computationally.

Everybody should learn those concepts.

And, you know, it's... And some people will learn them at a quite formal level and they'll learn computational language and things like that.

Other people will just learn, you know, sound is represented as, you know, digital data and they'll get some idea of spectrograms and frequencies and things like this.

And maybe that doesn't... Or they'll learn things like, you know, a lot of things that are sort of data science-ish, statistics-ish.

Like if you say, oh, I've got...

these people who picked their favorite kind of candy or something, and I've got, what's the best kind of candy, given that I've done the sample of all these people and they all rank the candies in different ways?

How do you think about that?

That's sort of a computational X kind of thing.

You might say, oh, I don't know what that is.

Is it statistics?

Is it data science?

I don't really know.

But kind of how to think about a question like that.