Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
The digits look like they have no pattern, and we believe they have no pattern.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
On the long term, you should see as many 1s and 2s and 3s as 4s and 5s and 6s.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
There should be no preference in the digits of pi to favor, let's say, 7 over 8.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But maybe there is some demon in the digits of pi that every time you compute more and more digits, it biases one digit to another.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
This is a conspiracy that should not happen.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
There's no reason it should happen, but there's no way to prove it with our current technology.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Okay, so getting back to Navier-Stokes, a fluid has a certain amount of energy.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And because the fluid is in motion, the energy gets transported around.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And water is also viscous.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So if the energy is spread out over many different locations, the natural viscosity of the fluid will just damp out the energy and it will go to zero.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And this is what happens in...
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
when we actually experiment with water.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You splash around, there's some turbulence and waves and so forth, but eventually it settles down and the lower the amplitude, the smaller the velocity, the more calm it gets.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But potentially there is also a demon that keeps pushing
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
the energy of the fluid into a smaller and smaller scale.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And it will move faster and faster.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And at faster speeds, the effect of viscosity is relatively less.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And so it could happen that it creates some sort of what's called a self-similar blob scenario where, you know,
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
the energy of the fluid starts off at some large scale, and then it all sort of transfers its energy into a smaller region of the fluid, which then, at a much faster rate, moves into an even smaller region, and so forth.