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Terence Tao

๐Ÿ‘ค Speaker
2047 total appearances

Appearances Over Time

Podcast Appearances

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

How are we humans supposed to deal with infinity?

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Well, you can think of infinity as just an abstraction of

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

a finite number for which you do not have a bound for.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

So nothing in real life is truly infinite.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

But you can ask yourself questions like, what if I had as much money as I wanted?

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Or what if I could go as fast as I wanted?

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

And a way in which mathematicians formalize that is, mathematics has found a formalism to idealize, instead of something being extremely large or extremely small, to actually be exactly infinite or zero.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

And often the mathematics becomes a lot cleaner when you do that.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

I mean, in physics, we joke about assuming spherical cows.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

You know, like real-world problems have got all kinds of real-world effects, but you can idealize, send some things to infinity, send some things to zero.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

And the mathematics becomes a lot simpler to work with there.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Yeah, so there's a lot of pitfalls.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

We spend a lot of time in undergraduate math classes teaching analysis, and analysis is often about how to take limits.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

So for example, A plus B is always B plus A. So when you have a finite number of terms and you add them, you can swap them and there's no problem.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

But when you have an infinite number of terms, they're these sort of show games you can play, where you can have a series which converges to one value, but you rearrange it, and it suddenly converges to another value.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

And so you can make mistakes.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

You have to know what you're doing when you allow infinity.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

You have to introduce these epsilons and deltas, and there's a certain type of way of reasoning that helps you avoid mistakes.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

In more recent years, people have started taking results that are true in infinite limits and what's called finitizing them.

Lex Fridman Podcast
#472 โ€“ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

So you know that something's true eventually, but you don't know when.