Stephen Wolfram

I know in my life I've learned lots of different fields.

And so I don't know, every time I always think that this is the one that I'm not gonna be able to learn, but turns out there are sort of meta methods for learning these things in the end.

And I think this idea that it becomes easier to be fed knowledge, so to speak, and it becomes, if you need to know this particular thing, you can get taught it in an efficient way, is something I think is sort of an interesting feature.

And I think it makes the...

You know, things like the value of big towers of specialized knowledge become less significant compared to the kind of meta knowledge of sort of understanding kind of the big picture and being able to connect things together.

I think that, you know, there's been this huge trend of let's be more and more specialized

Because we have to, you know, we have to sort of ascend these towers of knowledge.

But by the time you can get, you know, more automation of being able to get to that place on the tower without having to go through all those steps, I think it sort of changes that picture.

Interesting.

That's what I think.

I think that's where the humans are going to be useful.

I think that a lot of these kind of, the drilling, the mechanical working out of things is much more automatable.

It's much more AI territory, so to speak.

No more PhDs.

Well, that's interesting, yes.

I mean, the kind of specialization, this kind of tower of specialization, which has been a feature of, we've accumulated lots of knowledge in our species.

And in a sense, every time we have a kind of automation, a building of tools, it becomes less necessary to know that whole tower.

And it becomes something where you can just use a tool to get to the top of that tower.

I think that the thing that is ultimately, when we think about, okay, what do the AIs do versus what do the humans do?

It's like AIs, you tell them, you say, go achieve this particular objective.