Menu
Sign In Search Podcasts Libraries Charts People & Topics Add Podcast API Blog Pricing

Terence Tao

πŸ‘€ Speaker
3220 total appearances

Appearances Over Time

Podcast Appearances

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

But in 3D, the problem was that this equation was actually supercritical.

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

It's the same problem as Navier-Stokes.

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

As you blow up, maybe the curvature could get concentrated in finer and smaller regions, and it looked more and more nonlinear, and things just looked worse and worse.

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

And there could be all kinds of singularities that showed up.

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

Some singularities, like there's these things called neck pinches, where the surface sort of behaves like a barbell and it pinches at a point.

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

Some singularities are simple enough that you can sort of see what to do next.

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

You just make a snip and then you can turn one surface into two and evil them separately.

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

But there was the prospect that some really nasty, like, knotted singularities showed up that you couldn't see how to resolve in any way, that you couldn't do any surgery to.

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

So you need to classify all the singularities.

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

Like, what are all the possible ways that things can go wrong?

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

So what Perlman did was, first of all, he made the problem, he turned the problem from a supercritical problem to a critical problem.

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

I said before about how the invention of energy, the Hamiltonian, really clarified Newtonian mechanics.

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

So he introduced something which is now called Perlman's reduced volume and Perlman's entropy.

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

He introduced new quantities, kind of like energy, that looked the same at every single scale and turned the problem into a critical one where the nonlinearities actually suddenly looked a lot less scary than they did before.

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

And then he had to solve, he still had to analyze the singularities of this critical problem.

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

and that itself was a problem similar to this wave map thing I worked on actually so on the level of difficulty of that so he managed to classify all the similarities of this problem and show how to apply surgery to each of these and through that was able to resolve the Poincare conjecture so

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

quite a lot of really ambitious steps and like nothing that a large language model today, for example, could.

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

I mean, at best, I could imagine a model proposing this idea as one of hundreds of different things to try.

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

But the other 99 would be complete dead ends, but you'd only find out after months of work.

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

He must have had some sense that this was the right track to pursue because it takes years to get them from A to B. So you've done, like you said, actually, even strictly mathematically, but