Stephen Wolfram

And, you know, then what does that look like?

Well, it's again, you know, we humans are, you know, this is a new environment for us.

And admittedly, it's an environment which a little bit scarily is changing much more rapidly than, I mean, you know, people worry about, you know, climate change is going to happen over hundreds of years.

And, you know, the environment is changing.

But the environment for, you know, the kind of digital environment might change in six months.

Look, the fact is, it will be the correct consequence of the rules you've specified, and insofar as it talks about the real world,

That is our job in sort of curating and collecting data to make sure that that data is, quote, as true as possible.

Now, what does that mean?

Well, it's always an interesting question.

I mean, for us, our operational definition of truth is somebody says, who's the best actress?

Who knows?

But somebody won the Oscar, and that's a definite fact.

And so, you know, that's the kind of thing that we can make computational as a piece of truth.

If you ask, you know, these things which, you know, a sensor measured this thing, it did it this way,

a machine learning system, this particular machine learning system, recognize this thing.

That's a definite fact, so to speak.

There is a good network of those things in the world.

It's certainly the case that, particularly when you say, is so-and-so a good person?

That's a hopelessly... We might have a computational language definition of good.

I don't think it'd be very interesting because that's a very messy kind of concept, not really amenable to kind of... I think as far as we will get with those kinds of things is I want X.