Terence Tao

So it's going to be stochastic.

I think AIs currently are very good at certain things, but really terrible at others.

And while you can sort of add more and more frameworks on top to kind of reduce the error rates and make them work with each other a bit more and so forth, it feels like we don't have all the ingredients to like really have a truly satisfactory sort of replacement for all intellectual tasks.

It is complimentary currently.

It's not a replacement.

But maybe, I mean, because current level AIs will accelerate science in so many ways.

Hopefully, new discoveries, new breakthroughs will happen more quickly.

It's possible that also by somehow destroying serendipity, we actually inhibit certain types of progress.

Anything is possible, really, at this point.

I think the world is very, very unpredictable at this point in time.

Yeah, so we live in a time of change.

It is, as I said, we live in a particularly unpredictable era.

And I think things that we've taken for granted for centuries may not hold anymore.

So, yeah, the way we...

uh, do everything and not just mathematics, um, or change.

um,

In many ways, I would prefer the much more boring, quiet era where things are much the same as they were 10 years ago, 20 years ago.

I think one just has to embrace that there's going to be a lot of change and that the things that you study, some of them may become obsolete or revolutionized, but some things will be retained.

So you somehow always have to keep an eye on, like, there'll be a lot of opportunities for things that you wouldn't be able to do before.

So, I mean, in math, you know, you previously had to basically go through years and years of education, be a math PhD before you could contribute to the frontier of math research.