Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
90% of them still work, and there's a couple that are light and red.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Now I can't justify these steps, but it immediately isolates which steps you need to change.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But you can skip over everything which works just fine.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And if you program things correctly, with good programming practices, most of your lines will not be red.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And there'll just be a few places where you, I mean, if you don't hard code your constants, but you sort of
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You use smart tactics and so forth.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You can localize the things you need to change to a very small period of time.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So it's like within a day or two, we had updated our proof.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Of course, this is a very quick process.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You make a change, there are 10 things now that don't work.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
For each one, you make a change, and now there's five more things that don't work, but the process converges much more smoothly than with pen and paper,
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Yeah, so the proofs are longer, but each individual piece is easier to read.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So if you take a math paper and you jump to page 27 and you look at paragraph 6 and you have a line of text of math, I often can't read it.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
immediately because it assumes various definitions, which I have to go back and maybe on 10 pages earlier, this was defined.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And the proof is scattered all over the place.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And you basically are forced to read fairly sequentially.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It's not like, say, a novel where in theory, you could open up a novel halfway through and start reading.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
There's a lot of context
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But with a proof in Lean, if you put your cursor on a line of code, every single object there, you can hover over it and it will say what it is, where it came from, where it was justified.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You can trace things back much easier than flipping through a math paper.