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Jordan Ellenberg: Mathematics of High-Dimensional Shapes and Geometries | Lex Fridman Podcast #190


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The following is a conversation with Jordan Ellenberg,
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a mathematician at University of Wisconsin
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and an author who masterfully reveals the beauty
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and power of mathematics in his 2014 book,
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How Not To Be Wrong, and his new book,
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just released recently, called Shape,
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The Hidden Geometry of Information, Biology,
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Strategy, Democracy, and Everything Else.
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Quick mention of our sponsors,
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Secret Sauce, ExpressVPN, Blinkist, and Indeed.
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Check them out in the description to support this podcast.
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As a side note, let me say that geometry
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is what made me fall in love with mathematics
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when I was young.
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It first showed me that something definitive
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could be stated about this world
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through intuitive visual proofs.
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Somehow, that convinced me that math
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is not just abstract numbers devoid of life,
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but a part of life, part of this world,
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part of our search for meaning.
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This is the Lex Friedman podcast,
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and here is my conversation with Jordan Ellenberg.
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If the brain is a cake.
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It is?
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Well, let's just go with me on this, okay?
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Okay, we'll pause it.
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So for Noam Chomsky, language,
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the universal grammar, the framework
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from which language springs is like most of the cake,
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the delicious chocolate center,
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and then the rest of cognition that we think of
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is built on top, extra layers,
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maybe the icing on the cake,
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maybe consciousness is just like a cherry on top.
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Where do you put in this cake mathematical thinking?
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Is it as fundamental as language?
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In the Chomsky view, is it more fundamental than language?
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Is it echoes of the same kind of abstract framework
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that he's thinking about in terms of language
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that they're all really tightly interconnected?
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That's a really interesting question.
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You're getting me to reflect on this question
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of whether the feeling of producing mathematical output,
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if you want, is like the process of uttering language
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or producing linguistic output.
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I think it feels something like that,
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and it's certainly the case.
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Let me put it this way.
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It's hard to imagine doing mathematics
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in a completely nonlinguistic way.
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It's hard to imagine doing mathematics
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without talking about mathematics
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and sort of thinking in propositions.
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But maybe it's just because that's the way I do mathematics,
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and maybe I can't imagine it any other way, right?
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Well, what about visualizing shapes,
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visualizing concepts to which language
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is not obviously attachable?
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Ah, that's a really interesting question.
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And one thing it reminds me of is one thing I talk about
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in the book is dissection proofs,
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these very beautiful proofs of geometric propositions.
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There's a very famous one by Baskara
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of the Pythagorean theorem, proofs which are purely visual,
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proofs where you show that two quantities are the same
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by taking the same pieces and putting them together one way
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and making one shape and putting them together another way
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and making a different shape,
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and then observing that those two shapes
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must have the same area
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because they were built out of the same pieces.
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There's a famous story,
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and it's a little bit disputed about how accurate this is,
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but that in Baskara's manuscript,
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he sort of gives this proof, just gives the diagram,
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and then the entire verbal content of the proof
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is he just writes under it, behold.
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Like that's it.
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And it's like, there's some dispute
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about exactly how accurate that is.
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But so then there's an interesting question.
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If your proof is a diagram, if your proof is a picture,
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or even if your proof is like a movie of the same pieces
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like coming together in two different formations
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to make two different things, is that language?
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I'm not sure I have a good answer.
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What do you think?
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I think it is. I think the process
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of manipulating the visual elements
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is the same as the process
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of manipulating the elements of language.
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And I think probably the manipulating, the aggregation,
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the stitching stuff together is the important part.
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It's not the actual specific elements.
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It's more like, to me, language is a process
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and math is a process.
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It's not just specific symbols.
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It's in action.
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It's ultimately created through action, through change.
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And so you're constantly evolving ideas.
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Of course, we kind of attach,
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there's a certain destination you arrive to
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that you attach to and you call that a proof,
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but that's not, that doesn't need to end there.
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It's just at the end of the chapter
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and then it goes on and on and on in that kind of way.
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But I gotta ask you about geometry
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and it's a prominent topic in your new book, Shape.
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So for me, geometry is the thing,
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just like as you're saying,
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made me fall in love with mathematics when I was young.
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So being able to prove something visually
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just did something to my brain that it had this,
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it planted this hopeful seed
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that you can understand the world, like perfectly.
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Maybe it's an OCD thing,
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but from a mathematics perspective,
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like humans are messy, the world is messy, biology is messy.
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Your parents are yelling or making you do stuff,
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but you can cut through all that BS
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and truly understand the world through mathematics
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and nothing like geometry did that for me.
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For you, you did not immediately fall in love
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with geometry, so how do you think about geometry?
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Why is it a special field in mathematics?
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And how did you fall in love with it if you have?
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Wow, you've given me like a lot to say.
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And certainly the experience that you describe
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is so typical, but there's two versions of it.
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One thing I say in the book
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is that geometry is the cilantro of math.
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People are not neutral about it.
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There's people who like you are like,
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the rest of it I could take or leave,
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but then at this one moment, it made sense.
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This class made sense, why wasn't it all like that?
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There's other people, I can tell you,
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because they come and talk to me all the time,
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who are like, I understood all the stuff
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where you're trying to figure out what X was,
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there's some mystery you're trying to solve it,
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X is a number, I figured it out.
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But then there was this geometry, like what was that?
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What happened that year? Like I didn't get it.
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I was like lost the whole year
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and I didn't understand like why we even
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spent the time doing that.
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So, but what everybody agrees on
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is that it's somehow different, right?
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There's something special about it.
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We're gonna walk around in circles a little bit,
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but we'll get there.
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You asked me how I fell in love with math.
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I have a story about this.
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When I was a small child, I don't know,
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maybe like I was six or seven, I don't know.
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I'm from the 70s.
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I think you're from a different decade than that.
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But in the 70s, we had a cool wooden box
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around your stereo.
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That was the look, everything was dark wood.
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And the box had a bunch of holes in it
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to let the sound out.
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And the holes were in this rectangular array,
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a six by eight array of holes.
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And I was just kind of like zoning out
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in the living room as kids do,
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looking at this six by eight rectangular array of holes.
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And if you like, just by kind of like focusing in and out,
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just by kind of looking at this box,
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looking at this rectangle, I was like,
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well, there's six rows of eight holes each,
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but there's also eight columns of six holes each.
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Whoa.
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So eight sixes and six eights.
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It's just like the dissection proofs
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we were just talking about, but it's the same holes.
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It's the same 48 holes.
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That's how many there are,
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no matter whether you count them as rows
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or count them as columns.
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And this was like unbelievable to me.
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Am I allowed to cuss on your podcast?
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I don't know if that's, are we FCC regulated?
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Okay, it was fucking unbelievable.
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Okay, that's the last time.
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Get it in there.
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This story merits it.
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So two different perspectives in the same physical reality.
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Exactly.
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And it's just as you say.
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I knew that six times eight was the same as eight times six.
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I knew my times tables.
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I knew that that was a fact.
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But did I really know it until that moment?
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That's the question, right?
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I sort of knew that the times table was symmetric,
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but I didn't know why that was the case until that moment.
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And in that moment I could see like,
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oh, I didn't have to have somebody tell me that.
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That's information that you can just directly access.
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That's a really amazing moment.
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And as math teachers, that's something
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that we're really trying to bring to our students.
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And I was one of those who did not love
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the kind of Euclidean geometry ninth grade class
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of like prove that an isosceles triangle
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has equal angles at the base, like this kind of thing.
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It didn't vibe with me the way that algebra and numbers did.
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But if you go back to that moment,
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from my adult perspective,
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looking back at what happened with that rectangle,
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I think that is a very geometric moment.
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In fact, that moment exactly encapsulates
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the intertwining of algebra and geometry.
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This algebraic fact that, well, in the instance,
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eight times six is equal to six times eight.
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But in general, that whatever two numbers you have,
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you multiply them one way.
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And it's the same as if you multiply them
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in the other order.
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It attaches it to this geometric fact about a rectangle,
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which in some sense makes it true.
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So, who knows, maybe I was always fated
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to be an algebraic geometer,
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which is what I am as a researcher.
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So that's the kind of transformation.
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And you talk about symmetry in your book.
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What the heck is symmetry?
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What the heck is these kinds of transformation on objects
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that once you transform them, they seem to be similar?
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What do you make of it?
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What's its use in mathematics
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or maybe broadly in understanding our world?
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Well, it's an absolutely fundamental concept.
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And it starts with the word symmetry
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in the way that we usually use it
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when we're just like talking English
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and not talking mathematics, right?
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Sort of something is, when we say something is symmetrical,
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we usually means it has what's called an axis of symmetry.
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Maybe like the left half of it
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looks the same as the right half.
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That would be like a left, right axis of symmetry.
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Or maybe the top half looks like the bottom half or both.
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Maybe there's sort of a fourfold symmetry
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where the top looks like the bottom
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and the left looks like the right or more.
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And that can take you in a lot of different directions.
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The abstract study of what the possible combinations
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of symmetries there are,
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a subject which is called group theory
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was actually one of my first loves in mathematics
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when I thought about a lot when I was in college.
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But the notion of symmetry is actually much more general
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than the things that we would call symmetry
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if we were looking at like a classical building
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or a painting or something like that.
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Nowadays in math,
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we could use a symmetry to refer to
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any kind of transformation of an image
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or a space or an object.
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So what I talk about in the book is
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take a figure and stretch it vertically,
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make it twice as big vertically
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and make it half as wide.
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That I would call a symmetry.
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It's not a symmetry in the classical sense,
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but it's a well defined transformation
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that has an input and an output.
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I give you some shape and it gets kind of,
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I call this in the book a scrunch.
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I just had to make up some sort of funny sounding name
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for it because it doesn't really have a name.
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And just as you can sort of study
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which kinds of objects are symmetrical
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under the operations of switching left and right
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or switching top and bottom
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or rotating 40 degrees or what have you,
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you could study what kinds of things are preserved
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by this kind of scrunch symmetry.
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And this kind of more general idea
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of what a symmetry can be.
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Let me put it this way.
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A fundamental mathematical idea,
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in some sense, I might even say the idea
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that dominates contemporary mathematics.
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Or by contemporary, by the way,
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I mean like the last like 150 years.
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We're on a very long time scale in math.
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I don't mean like yesterday.
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I mean like a century or so up till now.
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Is this idea that it's a fundamental question
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of when do we consider two things to be the same?
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That might seem like a complete triviality.
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It's not.
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For instance, if I have a triangle
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and I have a triangle of the exact same dimensions,
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but it's over here, are those the same or different?
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Well, you might say, well, look,
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there's two different things.
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This one's over here, this one's over there.
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On the other hand, if you prove a theorem about this one,
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it's probably still true about this one
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if it has like all the same side lanes and angles
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and like looks exactly the same.
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The term of art, if you want it,
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you would say they're congruent.
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But one way of saying it is there's a symmetry
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called translation, which just means
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move everything three inches to the left.
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And we want all of our theories
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to be translation invariant.
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What that means is that if you prove a theorem
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about a thing that's over here,
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and then you move it three inches to the left,
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it would be kind of weird if all of your theorems
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like didn't still work.
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So this question of like, what are the symmetries
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and which things that you want to study
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are invariant under those symmetries
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is absolutely fundamental.
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Boy, this is getting a little abstract, right?
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It's not at all abstract.
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I think this is completely central
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to everything I think about
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in terms of artificial intelligence.
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I don't know if you know about the MNIST dataset,
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what's handwritten digits.
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And you know, I don't smoke much weed or any really,
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but it certainly feels like it when I look at MNIST
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and think about this stuff, which is like,
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what's the difference between one and two?
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And why are all the twos similar to each other?
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What kind of transformations are within the category
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of what makes a thing the same?
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And what kind of transformations
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are those that make it different?
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And symmetries core to that.
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In fact, whatever the hell our brain is doing,
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it's really good at constructing these arbitrary
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00:13:50.440
and sometimes novel, which is really important
link |
00:13:53.160
when you look at like the IQ test or they feel novel,
link |
00:13:58.000
ideas of symmetry of like playing with objects,
link |
00:14:02.880
we're able to see things that are the same and not
link |
00:14:07.020
and construct almost like little geometric theories
link |
00:14:11.720
of what makes things the same and not
link |
00:14:13.400
and how to make programs do that in AI
link |
00:14:17.400
is a total open question.
link |
00:14:19.120
And so I kind of stared and wonder
link |
00:14:22.960
how, what kind of symmetries are enough to solve
link |
00:14:27.040
the MNIST handwritten digit recognition problem
link |
00:14:30.880
and write that down.
link |
00:14:32.320
And exactly, and what's so fascinating
link |
00:14:33.880
about the work in that direction
link |
00:14:35.440
from the point of view of a mathematician like me
link |
00:14:38.320
and a geometer is that the kind of groups of symmetries,
link |
00:14:42.560
the types of symmetries that we know of are not sufficient.
link |
00:14:45.960
So in other words, like we're just gonna keep on going
link |
00:14:48.680
into the weeds on this.
link |
00:14:51.320
The deeper, the better.
link |
00:14:53.680
A kind of symmetry that we understand very well
link |
00:14:55.320
is rotation.
link |
00:14:56.720
So here's what would be easy.
link |
00:14:57.920
If humans, if we recognize the digit as a one,
link |
00:15:01.980
if it was like literally a rotation
link |
00:15:03.640
by some number of degrees or some fixed one
link |
00:15:07.220
in some typeface like Palatino or something,
link |
00:15:10.440
that would be very easy to understand.
link |
00:15:12.080
It would be very easy to like write a program
link |
00:15:13.960
that could detect whether something was a rotation
link |
00:15:17.400
of a fixed digit one.
link |
00:15:20.680
Whatever we're doing when you recognize the digit one
link |
00:15:22.640
and distinguish it from the digit two, it's not that.
link |
00:15:25.920
It's not just incorporating one of the types of symmetries
link |
00:15:30.680
that we understand.
link |
00:15:32.120
Now, I would say that I would be shocked
link |
00:15:36.640
if there was some kind of classical symmetry type formulation
link |
00:15:40.640
that captured what we're doing
link |
00:15:43.360
when we tell the difference between a two and a three.
link |
00:15:45.600
To be honest, I think what we're doing
link |
00:15:48.040
is actually more complicated than that.
link |
00:15:50.240
I feel like it must be.
link |
00:15:52.280
They're so simple, these numbers.
link |
00:15:53.680
I mean, they're really geometric objects.
link |
00:15:55.840
Like we can draw out one, two, three.
link |
00:15:58.600
It does seem like it should be formalizable.
link |
00:16:01.160
That's why it's so strange.
link |
00:16:03.280
Do you think it's formalizable
link |
00:16:04.220
when something stops being a two and starts being a three?
link |
00:16:06.840
Right, you can imagine something continuously deforming
link |
00:16:09.000
from being a two to a three.
link |
00:16:11.120
Yeah, but that's, there is a moment.
link |
00:16:15.440
Like I have myself written programs
link |
00:16:17.620
that literally morph twos and threes and so on.
link |
00:16:20.760
And you watch, and there is moments that you notice
link |
00:16:23.960
depending on the trajectory of that transformation,
link |
00:16:26.920
that morphing, that it is a three and a two.
link |
00:16:32.480
There's a hard line.
link |
00:16:33.600
Wait, so if you ask people, if you showed them this morph,
link |
00:16:36.360
if you ask a bunch of people,
link |
00:16:37.360
do they all agree about where the transition happened?
link |
00:16:39.800
Because I would be surprised.
link |
00:16:40.760
I think so.
link |
00:16:41.600
Oh my God, okay, we have an empirical dispute.
link |
00:16:42.920
But here's the problem.
link |
00:16:44.600
Here's the problem, that if I just showed that moment
link |
00:16:48.240
that I agreed on.
link |
00:16:50.680
Well, that's not fair.
link |
00:16:51.720
No, but say I said,
link |
00:16:53.480
so I want to move away from the agreement
link |
00:16:55.080
because that's a fascinating actually question
link |
00:16:57.320
that I want to backtrack from because I just dogmatically
link |
00:17:02.400
said, because I could be very, very wrong.
link |
00:17:04.840
But the morphing really helps that like the change,
link |
00:17:09.960
because I mean, partially it's because our perception
link |
00:17:11.880
systems, see this, it's all probably tied in there.
link |
00:17:15.040
Somehow the change from one to the other,
link |
00:17:18.000
like seeing the video of it allows you to pinpoint
link |
00:17:21.000
the place where a two becomes a three much better.
link |
00:17:23.680
If I just showed you one picture,
link |
00:17:26.000
I think you might really, really struggle.
link |
00:17:31.000
You might call a seven.
link |
00:17:32.120
I think there's something also that we don't often
link |
00:17:38.280
think about, which is it's not just about the static image,
link |
00:17:41.600
it's the transformation of the image,
link |
00:17:43.960
or it's not a static shape,
link |
00:17:45.560
it's the transformation of the shape.
link |
00:17:47.600
There's something in the movement that seems to be
link |
00:17:51.560
not just about our perception system,
link |
00:17:53.320
but fundamental to our cognition,
link |
00:17:55.040
like how we think about stuff.
link |
00:17:57.720
Yeah, and that's part of geometry too.
link |
00:18:00.360
And in fact, again, another insight of modern geometry
link |
00:18:03.200
is this idea that maybe we would naively think
link |
00:18:06.040
we're gonna study, I don't know,
link |
00:18:08.320
like Poincare, we're gonna study the three body problem.
link |
00:18:10.400
We're gonna study sort of like three objects in space
link |
00:18:13.440
moving around subject only to the force
link |
00:18:15.240
of each other's gravity, which sounds very simple, right?
link |
00:18:17.560
And if you don't know about this problem,
link |
00:18:18.720
you're probably like, okay, so you just like put it
link |
00:18:20.040
in your computer and see what they do.
link |
00:18:21.240
Well, guess what?
link |
00:18:22.080
That's like a problem that Poincare won a huge prize for
link |
00:18:25.080
like making the first real progress on in the 1880s.
link |
00:18:27.360
And we still don't know that much about it 150 years later.
link |
00:18:32.200
I mean, it's a humongous mystery.
link |
00:18:34.800
You just opened the door and we're gonna walk right in
link |
00:18:38.000
before we return to symmetry.
link |
00:18:40.840
What's the, who's Poincare and what's this conjecture
link |
00:18:44.840
that he came up with?
link |
00:18:46.680
Why is it such a hard problem?
link |
00:18:48.560
Okay, so Poincare, he ends up being a major figure
link |
00:18:52.120
in the book and I didn't even really intend for him
link |
00:18:54.200
to be such a big figure, but he's first and foremost
link |
00:18:59.280
a geometer, right?
link |
00:19:00.120
So he's a mathematician who kind of comes up
link |
00:19:02.600
in late 19th century France at a time when French math
link |
00:19:07.880
is really starting to flower.
link |
00:19:09.360
Actually, I learned a lot.
link |
00:19:10.200
I mean, in math, we're not really trained
link |
00:19:11.640
on our own history.
link |
00:19:12.680
We got a PhD in math, learned about math.
link |
00:19:14.240
So I learned a lot.
link |
00:19:15.200
There's this whole kind of moment where France
link |
00:19:18.600
has just been beaten in the Franco Prussian war.
link |
00:19:22.040
And they're like, oh my God, what did we do wrong?
link |
00:19:23.840
And they were like, we gotta get strong in math
link |
00:19:26.440
like the Germans.
link |
00:19:27.280
We have to be like more like the Germans.
link |
00:19:28.440
So this never happens to us again.
link |
00:19:29.880
So it's very much, it's like the Sputnik moment,
link |
00:19:31.960
like what happens in America in the 50s and 60s
link |
00:19:34.600
with the Soviet Union.
link |
00:19:35.440
This is happening to France and they're trying
link |
00:19:37.280
to kind of like instantly like modernize.
link |
00:19:40.360
That's fascinating that the humans and mathematics
link |
00:19:43.120
are intricately connected to the history of humans.
link |
00:19:46.800
The Cold War is I think fundamental to the way people
link |
00:19:51.800
saw science and math in the Soviet Union.
link |
00:19:55.160
I don't know if that was true in the United States,
link |
00:19:56.720
but certainly it was in the Soviet Union.
link |
00:19:58.520
It definitely was, and I would love to hear more
link |
00:20:00.000
about how it was in the Soviet Union.
link |
00:20:01.560
I mean, there was, and we'll talk about the Olympiad.
link |
00:20:04.960
I just remember that there was this feeling
link |
00:20:09.720
like the world hung in a balance
link |
00:20:14.320
and you could save the world with the tools of science.
link |
00:20:19.320
And mathematics was like the superpower that fuels science.
link |
00:20:26.520
And so like people were seen as, you know,
link |
00:20:30.240
people in America often idolize athletes,
link |
00:20:32.880
but ultimately the best athletes in the world,
link |
00:20:36.920
they just throw a ball into a basket.
link |
00:20:40.000
So like there's not, what people really enjoy about sports,
link |
00:20:44.240
I love sports, is like excellence at the highest level.
link |
00:20:48.640
But when you take that with mathematics and science,
link |
00:20:51.320
people also enjoyed excellence in science and mathematics
link |
00:20:54.280
in the Soviet Union, but there's an extra sense
link |
00:20:56.880
that that excellence would lead to a better world.
link |
00:21:01.400
So that created all the usual things you think about
link |
00:21:07.360
with the Olympics, which is like extreme competitiveness.
link |
00:21:12.160
But it also created this sense that in the modern era
link |
00:21:15.120
in America, somebody like Elon Musk, whatever you think
link |
00:21:19.400
of him, like Jeff Bezos, those folks,
link |
00:21:21.480
they inspire the possibility that one person
link |
00:21:24.480
or a group of smart people can change the world.
link |
00:21:27.040
Like not just be good at what they do,
link |
00:21:29.040
but actually change the world.
link |
00:21:30.640
Mathematics was at the core of that.
link |
00:21:33.320
I don't know, there's a romanticism around it too.
link |
00:21:36.040
Like when you read books about in America,
link |
00:21:39.480
people romanticize certain things like baseball, for example.
link |
00:21:42.640
There's like these beautiful poetic writing
link |
00:21:45.680
about the game of baseball.
link |
00:21:47.400
The same was the feeling with mathematics and science
link |
00:21:50.640
in the Soviet Union, and it was in the air.
link |
00:21:53.160
Everybody was forced to take high level mathematics courses.
link |
00:21:57.280
Like you took a lot of math, you took a lot of science
link |
00:22:00.480
and a lot of like really rigorous literature.
link |
00:22:03.240
Like the level of education in Russia,
link |
00:22:06.560
this could be true in China, I'm not sure,
link |
00:22:09.200
in a lot of countries is in whatever that's called,
link |
00:22:14.120
it's K to 12 in America, but like young people education.
link |
00:22:18.760
The level they were challenged to learn at is incredible.
link |
00:22:23.360
It's like America falls far behind, I would say.
link |
00:22:27.960
America then quickly catches up
link |
00:22:29.880
and then exceeds everybody else as you start approaching
link |
00:22:33.880
the end of high school to college.
link |
00:22:35.360
Like the university system in the United States
link |
00:22:37.040
arguably is the best in the world.
link |
00:22:39.280
But like what we challenge everybody,
link |
00:22:44.200
it's not just like the good, the A students,
link |
00:22:46.560
but everybody to learn in the Soviet Union was fascinating.
link |
00:22:50.200
I think I'm gonna pick up on something you said.
link |
00:22:52.080
I think you would love a book called
link |
00:22:53.800
Dual at Dawn by Amir Alexander,
link |
00:22:56.360
which I think some of the things you're responding to
link |
00:22:58.440
and what I wrote, I think I first got turned on to
link |
00:23:01.040
by Amir's work, he's a historian of math.
link |
00:23:02.880
And he writes about the story of Everest to Galois,
link |
00:23:06.040
which is a story that's well known to all mathematicians,
link |
00:23:08.320
this kind of like very, very romantic figure
link |
00:23:12.880
who he really sort of like begins the development of this
link |
00:23:18.040
or this theory of groups that I mentioned earlier,
link |
00:23:20.120
this general theory of symmetries
link |
00:23:23.480
and then dies in a duel in his early 20s,
link |
00:23:25.520
like all this stuff, mostly unpublished.
link |
00:23:28.400
It's a very, very romantic story that we all learn.
link |
00:23:32.400
And much of it is true,
link |
00:23:33.440
but Alexander really lays out just how much
link |
00:23:37.600
the way people thought about math in those times
link |
00:23:40.480
in the early 19th century was wound up with,
link |
00:23:43.200
as you say, romanticism.
link |
00:23:44.480
I mean, that's when the romantic movement takes place
link |
00:23:47.160
and he really outlines how people were predisposed
link |
00:23:51.200
to think about mathematics in that way
link |
00:23:52.800
because they thought about poetry that way
link |
00:23:54.240
and they thought about music that way.
link |
00:23:55.680
It was the mood of the era to think about
link |
00:23:58.240
we're reaching for the transcendent,
link |
00:23:59.920
we're sort of reaching for sort of direct contact
link |
00:24:02.000
with the divine.
link |
00:24:02.840
And part of the reason that we think of Gawa that way
link |
00:24:06.040
was because Gawa himself was a creature of that era
link |
00:24:08.680
and he romanticized himself.
link |
00:24:10.600
I mean, now we know he wrote lots of letters
link |
00:24:12.640
and he was kind of like, I mean, in modern terms,
link |
00:24:14.880
we would say he was extremely emo.
link |
00:24:16.520
Like we wrote all these letters
link |
00:24:19.800
about his like florid feelings
link |
00:24:21.320
and like the fire within him about the mathematics.
link |
00:24:23.280
And so it's just as you say
link |
00:24:26.280
that the math history touches human history.
link |
00:24:29.600
They're never separate because math is made of people.
link |
00:24:32.720
I mean, that's what, it's people who do it
link |
00:24:35.560
and we're human beings doing it
link |
00:24:36.840
and we do it within whatever community we're in
link |
00:24:39.120
and we do it affected by the mores
link |
00:24:42.640
of the society around us.
link |
00:24:44.080
So the French, the Germans and Poincare.
link |
00:24:47.360
Yes, okay, so back to Poincare.
link |
00:24:48.880
So he's, you know, it's funny.
link |
00:24:52.520
This book is filled with kind of mathematical characters
link |
00:24:55.880
who often are kind of peevish or get into feuds
link |
00:25:00.080
or sort of have like weird enthusiasms
link |
00:25:03.840
because those people are fun to write about
link |
00:25:05.160
and they sort of like say very salty things.
link |
00:25:07.440
Poincare is actually none of this.
link |
00:25:09.560
As far as I can tell, he was an extremely normal dude
link |
00:25:12.440
who didn't get into fights with people
link |
00:25:15.240
and everybody liked him
link |
00:25:16.280
and he was like pretty personally modest
link |
00:25:18.040
and he had very regular habits.
link |
00:25:20.240
You know what I mean?
link |
00:25:21.080
He did math for like four hours in the morning
link |
00:25:23.760
and four hours in the evening and that was it.
link |
00:25:25.640
Like he had his schedule.
link |
00:25:28.200
I actually, it was like, I still am feeling like
link |
00:25:31.640
somebody's gonna tell me now that the book is out,
link |
00:25:33.360
like, oh, didn't you know about this
link |
00:25:34.720
like incredibly sordid episode?
link |
00:25:37.000
As far as I could tell, a completely normal guy.
link |
00:25:39.920
But he just kind of, in many ways,
link |
00:25:44.280
creates the geometric world in which we live
link |
00:25:47.760
and his first really big success is this prize paper
link |
00:25:53.360
he writes for this prize offered by the King of Sweden
link |
00:25:55.960
for the study of the three body problem.
link |
00:26:01.080
The study of what we can say about, yeah,
link |
00:26:04.240
three astronomical objects moving
link |
00:26:07.280
in what you might think would be this very simple way.
link |
00:26:09.080
Nothing's going on except gravity.
link |
00:26:12.240
So what's the three body problem?
link |
00:26:13.640
Why is it a problem?
link |
00:26:15.000
So the problem is to understand
link |
00:26:16.800
when this motion is stable and when it's not.
link |
00:26:20.000
So stable meaning they would sort of like end up
link |
00:26:21.840
in some kind of periodic orbit.
link |
00:26:23.600
Or I guess it would mean, sorry,
link |
00:26:25.400
stable would mean they never sort of fly off
link |
00:26:26.960
far apart from each other.
link |
00:26:28.040
And unstable would mean like eventually they fly apart.
link |
00:26:30.160
So understanding two bodies is much easier.
link |
00:26:32.880
Yes, exactly.
link |
00:26:33.720
When you have the third wheel is always a problem.
link |
00:26:36.480
This is what Newton knew.
link |
00:26:37.320
Two bodies, they sort of orbit each other
link |
00:26:38.760
in some kind of either in an ellipse,
link |
00:26:41.280
which is the stable case.
link |
00:26:42.240
You know, that's what the planets do that we know.
link |
00:26:46.400
Or one travels on a hyperbola around the other.
link |
00:26:49.400
That's the unstable case.
link |
00:26:50.320
It sort of like zooms in from far away,
link |
00:26:51.920
sort of like whips around the heavier thing
link |
00:26:54.280
and like zooms out.
link |
00:26:56.720
Those are basically the two options.
link |
00:26:58.120
So it's a very simple and easy to classify story.
link |
00:27:00.840
With three bodies, just the small switch from two to three,
link |
00:27:04.160
it's a complete zoo.
link |
00:27:05.200
It's the first, what we would say now
link |
00:27:07.000
is it's the first example of what's called chaotic dynamics,
link |
00:27:09.920
where the stable solutions and the unstable solutions,
link |
00:27:13.000
they're kind of like wound in among each other.
link |
00:27:14.480
And a very, very, very tiny change in the initial conditions
link |
00:27:17.640
can make the longterm behavior of the system
link |
00:27:20.200
completely different.
link |
00:27:21.200
So Poincare was the first to recognize
link |
00:27:22.960
that that phenomenon even existed.
link |
00:27:27.000
What about the conjecture that carries his name?
link |
00:27:31.120
Right, so he also was one of the pioneers
link |
00:27:36.880
of taking geometry, which until that point
link |
00:27:41.440
had been largely the study of two
link |
00:27:44.080
and three dimensional objects,
link |
00:27:45.240
because that's like what we see, right?
link |
00:27:47.480
That's those are the objects we interact with.
link |
00:27:49.680
He developed the subject we now called topology.
link |
00:27:53.560
He called it analysis situs.
link |
00:27:55.320
He was a very well spoken guy with a lot of slogans,
link |
00:27:57.840
but that name did not,
link |
00:27:59.600
you can see why that name did not catch on.
link |
00:28:01.120
So now it's called topology now.
link |
00:28:05.080
Sorry, what was it called before?
link |
00:28:06.280
Analysis situs, which I guess sort of roughly means
link |
00:28:09.360
like the analysis of location or something like that.
link |
00:28:11.680
Like it's a Latin phrase.
link |
00:28:14.160
Partly because he understood that even to understand
link |
00:28:19.800
stuff that's going on in our physical world,
link |
00:28:22.480
you have to study higher dimensional spaces.
link |
00:28:24.400
How does this work?
link |
00:28:25.520
And this is kind of like where my brain went to it
link |
00:28:27.480
because you were talking about not just where things are,
link |
00:28:29.880
but what their path is, how they're moving
link |
00:28:31.720
when we were talking about the path from two to three.
link |
00:28:34.840
He understood that if you wanna study
link |
00:28:36.240
three bodies moving in space,
link |
00:28:39.600
well, each body, it has a location where it is.
link |
00:28:44.040
So it has an X coordinate, a Y coordinate,
link |
00:28:45.920
a Z coordinate, right?
link |
00:28:46.760
I can specify a point in space by giving you three numbers,
link |
00:28:49.440
but it also at each moment has a velocity.
link |
00:28:53.400
So it turns out that really to understand what's going on,
link |
00:28:56.520
you can't think of it as a point or you could,
link |
00:28:58.920
but it's better not to think of it as a point
link |
00:29:01.040
in three dimensional space that's moving.
link |
00:29:03.280
It's better to think of it as a point
link |
00:29:04.440
in six dimensional space where the coordinates
link |
00:29:06.360
are where is it and what's its velocity right now.
link |
00:29:09.320
That's a higher dimensional space called phase space.
link |
00:29:11.800
And if you haven't thought about this before,
link |
00:29:13.200
I admit that it's a little bit mind bending,
link |
00:29:15.920
but what he needed then was a geometry
link |
00:29:20.720
that was flexible enough,
link |
00:29:22.720
not just to talk about two dimensional spaces
link |
00:29:24.520
or three dimensional spaces, but any dimensional space.
link |
00:29:27.440
So the sort of famous first line of this paper
link |
00:29:29.320
where he introduces analysis of Cetus
link |
00:29:30.800
is no one doubts nowadays that the geometry
link |
00:29:34.280
of n dimensional space is an actually existing thing, right?
link |
00:29:37.720
I think that maybe that had been controversial.
link |
00:29:39.600
And he's saying like, look, let's face it,
link |
00:29:41.360
just because it's not physical doesn't mean it's not there.
link |
00:29:44.040
It doesn't mean we shouldn't study it.
link |
00:29:46.000
Interesting.
link |
00:29:46.920
He wasn't jumping to the physical interpretation.
link |
00:29:49.760
Like it can be real,
link |
00:29:51.640
even if it's not perceivable to the human cognition.
link |
00:29:55.720
I think that's right.
link |
00:29:56.880
I think, don't get me wrong,
link |
00:29:58.400
Poincare never strays far from physics.
link |
00:30:00.280
He's always motivated by physics,
link |
00:30:02.120
but the physics drove him to need to think about spaces
link |
00:30:06.200
of higher dimension.
link |
00:30:07.240
And so he needed a formalism that was rich enough
link |
00:30:09.440
to enable him to do that.
link |
00:30:10.520
And once you do that,
link |
00:30:11.560
that formalism is also gonna include things
link |
00:30:13.600
that are not physical.
link |
00:30:14.680
And then you have two choices.
link |
00:30:15.600
You can be like, oh, well, that stuff's trash.
link |
00:30:17.760
Or, and this is more of the mathematicians frame of mind,
link |
00:30:21.320
if you have a formalistic framework
link |
00:30:23.680
that like seems really good
link |
00:30:24.920
and sort of seems to be like very elegant and work well,
link |
00:30:27.200
and it includes all the physical stuff,
link |
00:30:29.040
maybe we should think about all of it.
link |
00:30:30.560
Like maybe we should think about it,
link |
00:30:31.400
thinking maybe there's some gold to be mined there.
link |
00:30:34.520
And indeed, like, you know, guess what?
link |
00:30:36.640
Like before long there's relativity and there's space time.
link |
00:30:39.120
And like all of a sudden it's like,
link |
00:30:40.080
oh yeah, maybe it's a good idea.
link |
00:30:41.560
We already had this geometric apparatus like set up
link |
00:30:43.880
for like how to think about four dimensional spaces,
link |
00:30:47.240
like turns out they're real after all.
link |
00:30:48.600
As I said, you know, this is a story much told
link |
00:30:51.680
right in mathematics, not just in this context,
link |
00:30:53.080
but in many.
link |
00:30:53.920
I'd love to dig in a little deeper on that actually,
link |
00:30:55.640
cause I have some intuitions to work out.
link |
00:31:00.800
Okay.
link |
00:31:01.800
My brain.
link |
00:31:02.640
Well, I'm not a mathematical physicist,
link |
00:31:03.560
so we can work them out together.
link |
00:31:05.600
Good.
link |
00:31:06.440
We'll together walk along the path of curiosity,
link |
00:31:10.000
but Poincare conjecture.
link |
00:31:13.720
What is it?
link |
00:31:14.560
The Poincare conjecture is about curved
link |
00:31:17.320
three dimensional spaces.
link |
00:31:18.880
So I was on my way there.
link |
00:31:21.240
I promise.
link |
00:31:23.360
The idea is that we perceive ourselves as living in,
link |
00:31:27.580
we don't say a three dimensional space.
link |
00:31:29.160
We just say three dimensional space.
link |
00:31:30.280
You know, you can go up and down,
link |
00:31:31.480
you can go left and right,
link |
00:31:32.320
you can go forward and back.
link |
00:31:33.200
There's three dimensions in which we can move.
link |
00:31:35.480
In Poincare's theory,
link |
00:31:36.600
there are many possible three dimensional spaces.
link |
00:31:41.680
In the same way that going down one dimension
link |
00:31:45.320
to sort of capture our intuition a little bit more,
link |
00:31:48.420
we know there are lots of different
link |
00:31:49.700
two dimensional surfaces, right?
link |
00:31:51.080
There's a balloon and that looks one way
link |
00:31:54.080
and a donut looks another way
link |
00:31:55.520
and a Mobius strip looks a third way.
link |
00:31:57.640
Those are all like two dimensional surfaces
link |
00:31:59.120
that we can kind of really get a global view of
link |
00:32:02.360
because we live in three dimensional space.
link |
00:32:03.900
So we can see a two dimensional surface
link |
00:32:05.500
sort of sitting in our three dimensional space.
link |
00:32:07.200
Well, to see a three dimensional space whole,
link |
00:32:11.260
we'd have to kind of have four dimensional eyes, right?
link |
00:32:13.220
Which we don't.
link |
00:32:14.060
So we have to use our mathematical eyes.
link |
00:32:15.020
We have to envision.
link |
00:32:17.440
The Poincare conjecture says that there's a very simple way
link |
00:32:22.080
to determine whether a three dimensional space
link |
00:32:26.480
is the standard one, the one that we're used to.
link |
00:32:29.640
And essentially it's that it's what's called
link |
00:32:31.880
fundamental group has nothing interesting in it.
link |
00:32:34.640
And that I can actually say without saying
link |
00:32:36.040
what the fundamental group is,
link |
00:32:36.960
I can tell you what the criterion is.
link |
00:32:39.000
This would be good.
link |
00:32:39.840
Oh, look, I can even use a visual aid.
link |
00:32:40.880
So for the people watching this on YouTube,
link |
00:32:42.360
you will just see this for the people on the podcast,
link |
00:32:45.240
you'll have to visualize it.
link |
00:32:46.160
So Lex has been nice enough to like give me a surface
link |
00:32:49.120
with an interesting topology.
link |
00:32:50.400
It's a mug right here in front of me.
link |
00:32:52.320
A mug, yes.
link |
00:32:53.360
I might say it's a genus one surface,
link |
00:32:55.140
but we could also say it's a mug, same thing.
link |
00:32:58.580
So if I were to draw a little circle on this mug,
link |
00:33:03.000
which way should I draw it so it's visible?
link |
00:33:04.360
Like here, okay.
link |
00:33:06.280
If I draw a little circle on this mug,
link |
00:33:07.520
imagine this to be a loop of string.
link |
00:33:09.380
I could pull that loop of string closed
link |
00:33:12.080
on the surface of the mug, right?
link |
00:33:14.640
That's definitely something I could do.
link |
00:33:15.880
I could shrink it, shrink it, shrink it until it's a point.
link |
00:33:18.360
On the other hand,
link |
00:33:19.200
if I draw a loop that goes around the handle,
link |
00:33:21.840
I can kind of zhuzh it up here
link |
00:33:23.100
and I can zhuzh it down there
link |
00:33:24.040
and I can sort of slide it up and down the handle,
link |
00:33:25.640
but I can't pull it closed, can I?
link |
00:33:27.300
It's trapped.
link |
00:33:28.840
Not without breaking the surface of the mug, right?
link |
00:33:30.680
Not without like going inside.
link |
00:33:32.380
So the condition of being what's called simply connected,
link |
00:33:37.160
this is one of Poincare's inventions,
link |
00:33:39.840
says that any loop of string can be pulled shut.
link |
00:33:42.640
So it's a feature that the mug simply does not have.
link |
00:33:45.120
This is a non simply connected mug
link |
00:33:48.540
and a simply connected mug would be a cup, right?
link |
00:33:51.120
You would burn your hand when you drank coffee out of it.
link |
00:33:53.600
So you're saying the universe is not a mug.
link |
00:33:56.520
Well, I can't speak to the universe,
link |
00:33:59.360
but what I can say is that regular old space is not a mug.
link |
00:34:05.320
Regular old space,
link |
00:34:06.160
if you like sort of actually physically have
link |
00:34:07.840
like a loop of string,
link |
00:34:09.600
you can pull it shut.
link |
00:34:11.000
You can always pull it shut.
link |
00:34:12.660
But what if your piece of string
link |
00:34:14.060
was the size of the universe?
link |
00:34:14.980
Like what if your piece of string
link |
00:34:16.340
was like billions of light years long?
link |
00:34:18.120
Like how do you actually know?
link |
00:34:20.180
I mean, that's still an open question
link |
00:34:21.480
of the shape of the universe.
link |
00:34:22.560
Exactly.
link |
00:34:25.520
I think there's a lot,
link |
00:34:26.480
there is ideas of it being a torus.
link |
00:34:28.620
I mean, there's some trippy ideas
link |
00:34:30.400
and they're not like weird out there controversial.
link |
00:34:33.440
There's legitimate at the center of a cosmology debate.
link |
00:34:38.160
I mean, I think most people think it's flat.
link |
00:34:40.000
I think there's some kind of dodecahedral symmetry
link |
00:34:42.160
or I mean, I remember reading something crazy
link |
00:34:43.600
about somebody saying that they saw the signature of that
link |
00:34:45.920
in the cosmic noise or what have you.
link |
00:34:48.520
I mean.
link |
00:34:49.800
To make the flat earthers happy,
link |
00:34:51.380
I do believe that the current main belief is it's flat.
link |
00:34:56.380
It's flat ish or something like that.
link |
00:34:59.820
The shape of the universe is flat ish.
link |
00:35:01.980
I don't know what the heck that means.
link |
00:35:03.140
I think that has like a very,
link |
00:35:06.660
how are you even supposed to think about the shape
link |
00:35:09.900
of a thing that doesn't have any thing outside of it?
link |
00:35:14.140
I mean.
link |
00:35:14.980
Ah, but that's exactly what topology does.
link |
00:35:16.740
Topology is what's called an intrinsic theory.
link |
00:35:19.420
That's what's so great about it.
link |
00:35:20.340
This question about the mug,
link |
00:35:22.580
you could answer it without ever leaving the mug, right?
link |
00:35:26.000
Because it's a question about a loop drawn
link |
00:35:28.980
on the surface of the mug
link |
00:35:29.980
and what happens if it never leaves that surface.
link |
00:35:31.820
So it's like always there.
link |
00:35:33.500
See, but that's the difference between the topology
link |
00:35:37.820
and say, if you're like trying to visualize a mug,
link |
00:35:42.480
that you can't visualize a mug while living inside the mug.
link |
00:35:46.660
Well, that's true.
link |
00:35:47.500
The visualization is harder, but in some sense,
link |
00:35:49.180
no, you're right.
link |
00:35:50.000
But if the tools of mathematics are there,
link |
00:35:51.980
I, sorry, I don't want to fight,
link |
00:35:53.700
but I think the tools of mathematics are exactly there
link |
00:35:55.580
to enable you to think about
link |
00:35:56.980
what you cannot visualize in this way.
link |
00:35:58.700
Let me give, let's go, always to make things easier,
link |
00:36:00.740
go down to dimension.
link |
00:36:03.000
Let's think about we live in a circle, okay?
link |
00:36:05.780
You can tell whether you live on a circle or a line segment,
link |
00:36:11.260
because if you live in a circle,
link |
00:36:12.340
if you walk a long way in one direction,
link |
00:36:13.800
you find yourself back where you started.
link |
00:36:15.220
And if you live in a line segment,
link |
00:36:17.300
you walk for a long enough one direction,
link |
00:36:18.740
you come to the end of the world.
link |
00:36:20.180
Or if you live on a line, like a whole line,
link |
00:36:22.900
infinite line, then you walk in one direction
link |
00:36:25.860
for a long time and like,
link |
00:36:27.080
well, then there's not a sort of terminating algorithm
link |
00:36:28.720
to figure out whether you live on a line or a circle,
link |
00:36:30.460
but at least you sort of,
link |
00:36:33.340
at least you don't discover that you live on a circle.
link |
00:36:35.680
So all of those are intrinsic things, right?
link |
00:36:37.360
All of those are things that you can figure out
link |
00:36:39.700
about your world without leaving your world.
link |
00:36:42.060
On the other hand, ready?
link |
00:36:43.300
Now we're going to go from intrinsic to extrinsic.
link |
00:36:45.220
Boy, did I not know we were going to talk about this,
link |
00:36:46.920
but why not?
link |
00:36:48.020
Why not?
link |
00:36:48.860
If you can't tell whether you live in a circle
link |
00:36:52.500
or a knot, like imagine like a knot
link |
00:36:55.580
floating in three dimensional space.
link |
00:36:56.900
The person who lives on that knot, to them it's a circle.
link |
00:36:59.660
They walk a long way, they come back to where they started.
link |
00:37:01.740
Now we, with our three dimensional eyes can be like,
link |
00:37:04.280
oh, this one's just a plain circle
link |
00:37:05.580
and this one's knotted up,
link |
00:37:06.700
but that has to do with how they sit
link |
00:37:09.700
in three dimensional space.
link |
00:37:10.620
It doesn't have to do with intrinsic features
link |
00:37:12.120
of those people's world.
link |
00:37:13.120
We can ask you one ape to another.
link |
00:37:14.880
Does it make you, how does it make you feel
link |
00:37:17.120
that you don't know if you live in a circle
link |
00:37:19.860
or on a knot, in a knot,
link |
00:37:24.460
inside the string that forms the knot?
link |
00:37:28.680
I don't even know how to say that.
link |
00:37:29.940
I'm going to be honest with you.
link |
00:37:30.940
I don't know if, I fear you won't like this answer,
link |
00:37:34.580
but it does not bother me at all.
link |
00:37:37.140
I don't lose one minute of sleep over it.
link |
00:37:39.380
So like, does it bother you that if we look
link |
00:37:41.700
at like a Mobius strip, that you don't have an obvious way
link |
00:37:46.100
of knowing whether you are inside of a cylinder,
link |
00:37:49.740
if you live on a surface of a cylinder
link |
00:37:51.780
or you live on the surface of a Mobius strip?
link |
00:37:55.700
No, I think you can tell if you live.
link |
00:37:58.740
Which one?
link |
00:37:59.580
Because what you do is you like tell your friend,
link |
00:38:02.500
hey, stay right here, I'm just going to go for a walk.
link |
00:38:04.140
And then you like walk for a long time in one direction
link |
00:38:06.700
and then you come back and you see your friend again.
link |
00:38:08.260
And if your friend is reversed,
link |
00:38:09.380
then you know you live on a Mobius strip.
link |
00:38:10.740
Well, no, because you won't see your friend, right?
link |
00:38:13.860
Okay, fair point, fair point on that.
link |
00:38:17.060
But you have to believe the stories about,
link |
00:38:19.820
no, I don't even know, would you even know?
link |
00:38:24.220
Would you really?
link |
00:38:25.100
Oh, no, your point is right.
link |
00:38:26.860
Let me try to think of a better,
link |
00:38:28.220
let's see if I can do this on the fly.
link |
00:38:29.420
It may not be correct to talk about cognitive beings
link |
00:38:33.900
living on a Mobius strip
link |
00:38:35.380
because there's a lot of things taken for granted there.
link |
00:38:37.940
And we're constantly imagining actual
link |
00:38:39.820
like three dimensional creatures,
link |
00:38:42.300
like how it actually feels like to live in a Mobius strip
link |
00:38:47.940
is tricky to internalize.
link |
00:38:50.140
I think that on what's called the real protective plane,
link |
00:38:52.860
which is kind of even more sort of like messed up version
link |
00:38:54.900
of the Mobius strip, but with very similar features,
link |
00:38:57.540
this feature of kind of like only having one side,
link |
00:39:01.340
that has the feature that there's a loop of string
link |
00:39:04.500
which can't be pulled closed.
link |
00:39:06.740
But if you loop it around twice along the same path,
link |
00:39:09.700
that you can pull closed.
link |
00:39:11.300
That's extremely weird.
link |
00:39:12.980
Yeah.
link |
00:39:14.860
But that would be a way you could know
link |
00:39:16.260
without leaving your world
link |
00:39:17.260
that something very funny is going on.
link |
00:39:20.380
You know what's extremely weird?
link |
00:39:21.980
Maybe we can comment on,
link |
00:39:23.260
hopefully it's not too much of a tangent is,
link |
00:39:26.900
I remember thinking about this,
link |
00:39:29.020
this might be right, this might be wrong.
link |
00:39:31.820
But if we now talk about a sphere
link |
00:39:35.460
and you're living inside a sphere,
link |
00:39:37.580
that you're going to see everywhere around you,
link |
00:39:41.180
the back of your own head.
link |
00:39:44.820
That I was,
link |
00:39:46.140
cause like I was,
link |
00:39:47.980
this is very counterintuitive to me to think about,
link |
00:39:50.820
maybe it's wrong.
link |
00:39:51.660
But cause I was thinking of like earth,
link |
00:39:54.260
your 3D thing sitting on a sphere.
link |
00:39:57.260
But if you're living inside the sphere,
link |
00:40:00.140
like you're going to see, if you look straight,
link |
00:40:02.300
you're always going to see yourself all the way around.
link |
00:40:05.580
So everywhere you look, there's going to be
link |
00:40:07.620
the back of your own head.
link |
00:40:09.300
I think somehow this depends on something
link |
00:40:10.980
of like how the physics of light works in this scenario,
link |
00:40:13.180
which I'm sort of finding it hard to bend my.
link |
00:40:14.820
That's true.
link |
00:40:15.660
The sea is doing a lot of work.
link |
00:40:16.660
Like saying you see something is doing a lot of work.
link |
00:40:19.540
People have thought about this a lot.
link |
00:40:20.740
I mean, this metaphor of like,
link |
00:40:22.340
what if we're like little creatures
link |
00:40:24.740
in some sort of smaller world?
link |
00:40:26.100
Like how could we apprehend what's outside?
link |
00:40:27.700
That metaphor just comes back and back.
link |
00:40:29.580
And actually I didn't even realize like how frequent it is.
link |
00:40:32.140
It comes up in the book a lot.
link |
00:40:33.540
I know it from a book called Flatland.
link |
00:40:35.620
I don't know if you ever read this when you were a kid.
link |
00:40:37.780
A while ago, yeah.
link |
00:40:38.620
An adult.
link |
00:40:39.460
You know, this sort of comic novel from the 19th century
link |
00:40:42.900
about an entire two dimensional world.
link |
00:40:46.940
It's narrated by a square.
link |
00:40:48.260
That's the main character.
link |
00:40:49.820
And the kind of strangeness that befalls him
link |
00:40:53.580
when one day he's in his house
link |
00:40:55.220
and suddenly there's like a little circle there
link |
00:40:57.860
and they're with him.
link |
00:40:59.220
But then the circle like starts getting bigger
link |
00:41:02.460
and bigger and bigger.
link |
00:41:04.340
And he's like, what the hell is going on?
link |
00:41:06.020
It's like a horror movie, like for two dimensional people.
link |
00:41:08.500
And of course what's happening
link |
00:41:09.820
is that a sphere is entering his world.
link |
00:41:12.140
And as the sphere kind of like moves farther and farther
link |
00:41:15.060
into the plane, it's cross section.
link |
00:41:16.700
The part of it that he can see.
link |
00:41:18.420
To him, it looks like there's like this kind
link |
00:41:20.140
of bizarre being that's like getting larger
link |
00:41:22.420
and larger and larger
link |
00:41:24.700
until it's exactly sort of halfway through.
link |
00:41:27.300
And then they have this kind of like philosophical argument
link |
00:41:29.140
where the sphere is like, I'm a sphere.
link |
00:41:30.180
I'm from the third dimension.
link |
00:41:31.020
The square is like, what are you talking about?
link |
00:41:32.220
There's no such thing.
link |
00:41:33.380
And they have this kind of like sterile argument
link |
00:41:36.220
where the square is not able to kind of like
link |
00:41:39.140
follow the mathematical reasoning of the sphere
link |
00:41:40.980
until the sphere just kind of grabs him
link |
00:41:42.380
and like jerks him out of the plane and pulls him up.
link |
00:41:45.820
And it's like now, like now do you see,
link |
00:41:47.380
like now do you see your whole world
link |
00:41:50.260
that you didn't understand before?
link |
00:41:52.100
So do you think that kind of process is possible
link |
00:41:55.500
for us humans?
link |
00:41:56.580
So we live in the three dimensional world,
link |
00:41:58.380
maybe with the time component four dimensional
link |
00:42:01.520
and then math allows us to go high,
link |
00:42:06.620
into high dimensions comfortably
link |
00:42:08.220
and explore the world from those perspectives.
link |
00:42:13.580
Like, is it possible that the universe
link |
00:42:19.620
is many more dimensions than the ones
link |
00:42:23.060
we experience as human beings?
link |
00:42:25.180
So if you look at the, you know,
link |
00:42:28.820
especially in physics theories of everything,
link |
00:42:32.020
physics theories that try to unify general relativity
link |
00:42:35.380
and quantum field theory,
link |
00:42:37.400
they seem to go to high dimensions to work stuff out
link |
00:42:42.660
through the tools of mathematics.
link |
00:42:44.620
Is it possible?
link |
00:42:46.140
So like the two options are,
link |
00:42:47.700
one is just a nice way to analyze a universe,
link |
00:42:51.500
but the reality is, is as exactly we perceive it,
link |
00:42:54.740
it is three dimensional, or are we just seeing,
link |
00:42:58.620
are we those flatland creatures
link |
00:43:00.740
that are just seeing a tiny slice of reality
link |
00:43:03.740
and the actual reality is many, many, many more dimensions
link |
00:43:08.860
than the three dimensions we perceive?
link |
00:43:10.960
Oh, I certainly think that's possible.
link |
00:43:14.580
Now, how would you figure out whether it was true or not
link |
00:43:17.900
is another question.
link |
00:43:20.440
And I suppose what you would do
link |
00:43:22.180
as with anything else that you can't directly perceive
link |
00:43:25.060
is you would try to understand
link |
00:43:29.380
what effect the presence of those extra dimensions
link |
00:43:33.220
out there would have on the things we can perceive.
link |
00:43:36.940
Like what else can you do, right?
link |
00:43:39.180
And in some sense, if the answer is
link |
00:43:42.260
they would have no effect,
link |
00:43:44.720
then maybe it becomes like a little bit
link |
00:43:46.180
of a sterile question,
link |
00:43:47.020
because what question are you even asking, right?
link |
00:43:49.340
You can kind of posit however many entities that you want.
link |
00:43:53.740
Is it possible to intuit how to mess
link |
00:43:56.900
with the other dimensions
link |
00:43:58.240
while living in a three dimensional world?
link |
00:44:00.320
I mean, that seems like a very challenging thing to do.
link |
00:44:03.860
The reason flatland could be written
link |
00:44:06.900
is because it's coming from a three dimensional writer.
link |
00:44:11.420
Yes, but what happens in the book,
link |
00:44:13.880
I didn't even tell you the whole plot.
link |
00:44:15.220
What happens is the square is so excited
link |
00:44:17.220
and so filled with intellectual joy.
link |
00:44:19.960
By the way, maybe to give the story some context,
link |
00:44:22.200
you asked like, is it possible for us humans
link |
00:44:25.180
to have this experience of being transcendentally jerked
link |
00:44:28.460
out of our world so we can sort of truly see it from above?
link |
00:44:30.980
Well, Edwin Abbott who wrote the book
link |
00:44:32.760
certainly thought so because Edwin Abbott was a minister.
link |
00:44:35.940
So the whole Christian subtext of this book,
link |
00:44:37.880
I had completely not grasped reading this as a kid,
link |
00:44:41.840
that it means a very different thing, right?
link |
00:44:43.420
If sort of a theologian is saying like,
link |
00:44:45.700
oh, what if a higher being could like pull you out
link |
00:44:48.220
of this earthly world you live in
link |
00:44:50.000
so that you can sort of see the truth
link |
00:44:51.360
and like really see it from above as it were.
link |
00:44:54.460
So that's one of the things that's going on for him.
link |
00:44:56.500
And it's a testament to his skill as a writer
link |
00:44:58.420
that his story just works whether that's the framework
link |
00:45:01.760
you're coming to it from or not.
link |
00:45:05.220
But what happens in this book and this part,
link |
00:45:07.500
now looking at it through a Christian lens,
link |
00:45:08.980
it becomes a bit subversive is the square is so excited
link |
00:45:13.240
about what he's learned from the sphere
link |
00:45:16.780
and the sphere explains to him like what a cube would be.
link |
00:45:18.740
Oh, it's like you but three dimensional
link |
00:45:20.020
and the square is very excited
link |
00:45:21.020
and the square is like, okay, I get it now.
link |
00:45:23.180
So like now that you explained to me how just by reason
link |
00:45:26.060
I can figure out what a cube would be like,
link |
00:45:27.380
like a three dimensional version of me,
link |
00:45:29.020
like let's figure out what a four dimensional version
link |
00:45:31.340
of me would be like.
link |
00:45:32.740
And then the sphere is like,
link |
00:45:33.980
what the hell are you talking about?
link |
00:45:34.860
There's no fourth dimension, that's ridiculous.
link |
00:45:36.520
Like there's three dimensions,
link |
00:45:37.740
like that's how many there are, I can see.
link |
00:45:39.300
Like, I mean, it's this sort of comic moment
link |
00:45:40.880
where the sphere is completely unable to conceptualize
link |
00:45:44.660
that there could actually be yet another dimension.
link |
00:45:47.940
So yeah, that takes the religious allegory
link |
00:45:49.900
like a very weird place that I don't really
link |
00:45:51.340
like understand theologically, but.
link |
00:45:53.140
That's a nice way to talk about religion and myth in general
link |
00:45:57.880
as perhaps us trying to struggle,
link |
00:46:00.960
us meaning human civilization, trying to struggle
link |
00:46:03.860
with ideas that are beyond our cognitive capabilities.
link |
00:46:08.620
But it's in fact not beyond our capability.
link |
00:46:10.620
It may be beyond our cognitive capabilities
link |
00:46:13.300
to visualize a four dimensional cube,
link |
00:46:16.460
a tesseract as some like to call it,
link |
00:46:18.320
or a five dimensional cube, or a six dimensional cube,
link |
00:46:20.800
but it is not beyond our cognitive capabilities
link |
00:46:23.940
to figure out how many corners
link |
00:46:26.640
a six dimensional cube would have.
link |
00:46:28.040
That's what's so cool about us.
link |
00:46:29.380
Whether we can visualize it or not,
link |
00:46:31.060
we can still talk about it, we can still reason about it,
link |
00:46:33.400
we can still figure things out about it.
link |
00:46:36.160
That's amazing.
link |
00:46:37.260
Yeah, if we go back to this, first of all, to the mug,
link |
00:46:41.620
but to the example you give in the book of the straw,
link |
00:46:44.980
how many holes does a straw have?
link |
00:46:49.800
And you, listener, may try to answer that in your own head.
link |
00:46:54.140
Yeah, I'm gonna take a drink while everybody thinks about it
link |
00:46:56.220
so we can give you a moment.
link |
00:46:57.060
A slow sip.
link |
00:46:59.020
Is it zero, one, or two, or more than that maybe?
link |
00:47:04.900
Maybe you can get very creative.
link |
00:47:06.660
But it's kind of interesting to each,
link |
00:47:10.640
dissecting each answer as you do in the book
link |
00:47:13.100
is quite brilliant.
link |
00:47:14.140
People should definitely check it out.
link |
00:47:15.540
But if you could try to answer it now,
link |
00:47:18.420
think about all the options
link |
00:47:21.220
and why they may or may not be right.
link |
00:47:23.420
Yeah, and it's one of these questions
link |
00:47:25.260
where people on first hearing it think it's a triviality
link |
00:47:28.300
and they're like, well, the answer is obvious.
link |
00:47:29.780
And then what happens if you ever ask a group of people
link |
00:47:31.380
that something wonderfully comic happens,
link |
00:47:33.960
which is that everyone's like,
link |
00:47:34.800
well, it's completely obvious.
link |
00:47:36.500
And then each person realizes that half the person,
link |
00:47:38.980
the other people in the room
link |
00:47:39.820
have a different obvious answer for the way they have.
link |
00:47:42.940
And then people get really heated.
link |
00:47:44.420
People are like, I can't believe
link |
00:47:46.100
that you think it has two holes
link |
00:47:47.440
or like, I can't believe that you think it has one.
link |
00:47:49.660
And then, you know, you really,
link |
00:47:50.580
like people really learn something about each other
link |
00:47:52.420
and people get heated.
link |
00:47:54.440
I mean, can we go through the possible options here?
link |
00:47:57.700
Is it zero, one, two, three, 10?
link |
00:48:01.300
Sure, so I think, you know, most people,
link |
00:48:04.660
the zero holders are rare.
link |
00:48:06.100
They would say like, well, look,
link |
00:48:07.740
you can make a straw by taking a rectangular piece of plastic
link |
00:48:10.180
and closing it up.
link |
00:48:11.020
A rectangular piece of plastic doesn't have a hole in it.
link |
00:48:14.820
I didn't poke a hole in it when I,
link |
00:48:16.980
so how can I have a hole?
link |
00:48:18.320
They'd be like, it's just one thing.
link |
00:48:19.580
Okay, most people don't see it that way.
link |
00:48:21.940
That's like a...
link |
00:48:23.820
Is there any truth to that kind of conception?
link |
00:48:25.900
Yeah, I think that would be somebody who's account, I mean,
link |
00:48:33.740
what I would say is you could say the same thing
link |
00:48:39.420
about a bagel.
link |
00:48:40.460
You could say, I can make a bagel by taking like a long
link |
00:48:43.100
cylinder of dough, which doesn't have a hole
link |
00:48:45.060
and then schmushing the ends together.
link |
00:48:47.720
Now it's a bagel.
link |
00:48:49.060
So if you're really committed, you can be like, okay,
link |
00:48:50.580
a bagel doesn't have a hole either.
link |
00:48:51.700
But like, who are you if you say a bagel doesn't have a hole?
link |
00:48:54.100
I mean, I don't know.
link |
00:48:54.940
Yeah, so that's almost like an engineering definition of it.
link |
00:48:57.980
Okay, fair enough.
link |
00:48:59.000
So what about the other options?
link |
00:49:02.240
So, you know, one whole people would say...
link |
00:49:07.740
I like how these are like groups of people.
link |
00:49:09.900
Like we've planted our foot, this is what we stand for.
link |
00:49:12.940
There's books written about each belief.
link |
00:49:16.260
You know, I would say, look, there's like a hole
link |
00:49:17.580
and it goes all the way through the straw, right?
link |
00:49:19.140
It's one region of space, that's the hole.
link |
00:49:21.900
And there's one.
link |
00:49:22.740
And two whole people would say like, well, look,
link |
00:49:24.140
there's a hole in the top and a hole at the bottom.
link |
00:49:28.420
I think a common thing you see when people
link |
00:49:34.020
argue about this, they would take something like this
link |
00:49:35.960
bottle of water I'm holding and go open it and they say,
link |
00:49:40.260
well, how many holes are there in this?
link |
00:49:41.540
And you say like, well, there's one hole at the top.
link |
00:49:44.100
Okay, what if I like poke a hole here
link |
00:49:46.380
so that all the water spills out?
link |
00:49:48.940
Well, now it's a straw.
link |
00:49:50.860
Yeah.
link |
00:49:51.700
So if you're a one holder, I say to you like,
link |
00:49:53.140
well, how many holes are in it now?
link |
00:49:56.020
There was one hole in it before
link |
00:49:57.340
and I poked a new hole in it.
link |
00:49:59.280
And then you think there's still one hole
link |
00:50:01.580
even though there was one hole and I made one more?
link |
00:50:04.700
Clearly not, this is two holes.
link |
00:50:06.740
Yeah.
link |
00:50:08.180
And yet if you're a two holder, the one holder will say like,
link |
00:50:10.380
okay, where does one hole begin and the other hole end?
link |
00:50:13.220
Yeah.
link |
00:50:16.340
And in the book, I sort of, you know, in math,
link |
00:50:18.660
there's two things we do when we're faced with a problem
link |
00:50:20.380
that's confusing us.
link |
00:50:22.940
We can make the problem simpler.
link |
00:50:24.540
That's what we were doing a minute ago
link |
00:50:25.740
when we were talking about high dimensional space.
link |
00:50:27.100
And I was like, let's talk about like circles
link |
00:50:28.500
and line segments.
link |
00:50:29.340
Let's like go down a dimension to make it easier.
link |
00:50:31.740
The other big move we have is to make the problem harder
link |
00:50:35.100
and try to sort of really like face up
link |
00:50:36.700
to what are the complications.
link |
00:50:37.660
So, you know, what I do in the book is say like,
link |
00:50:39.580
let's stop talking about straws for a minute
link |
00:50:41.220
and talk about pants.
link |
00:50:42.860
How many holes are there in a pair of pants?
link |
00:50:46.220
So I think most people who say there's two holes in a straw
link |
00:50:48.820
would say there's three holes in a pair of pants.
link |
00:50:51.980
I guess, I mean, I guess we're filming only from here.
link |
00:50:54.020
I could take up, no, I'm not gonna do it.
link |
00:50:56.580
You'll just have to imagine the pants, sorry.
link |
00:50:58.300
Yeah.
link |
00:50:59.700
Lex, if you want to, no, okay, no.
link |
00:51:01.220
That's gonna be in the director's cut.
link |
00:51:04.580
That's that Patreon only footage.
link |
00:51:06.380
There you go.
link |
00:51:07.820
So many people would say there's three holes
link |
00:51:09.500
in a pair of pants.
link |
00:51:10.340
But you know, for instance, my daughter, when I asked,
link |
00:51:11.980
by the way, talking to kids about this is super fun.
link |
00:51:14.860
I highly recommend it.
link |
00:51:16.380
What did she say?
link |
00:51:17.900
She said, well, yeah, I feel a pair of pants
link |
00:51:21.020
like just has two holes because yes, there's the waist,
link |
00:51:23.660
but that's just the two leg holes stuck together.
link |
00:51:26.620
Whoa, okay.
link |
00:51:28.500
Two leg holes, yeah, okay.
link |
00:51:29.860
I mean, that really is a good combination.
link |
00:51:31.420
So she's a one holder for the straw.
link |
00:51:32.340
So she's a one holder for the straw too.
link |
00:51:34.460
And that really does capture something.
link |
00:51:39.580
It captures this fact, which is central
link |
00:51:42.860
to the theory of what's called homology,
link |
00:51:44.420
which is like a central part of modern topology
link |
00:51:46.060
that holes, whatever we may mean by them,
link |
00:51:49.700
they're somehow things which have an arithmetic to them.
link |
00:51:51.980
They're things which can be added.
link |
00:51:53.940
Like the waist, like waist equals leg plus leg
link |
00:51:57.180
is kind of an equation,
link |
00:51:58.420
but it's not an equation about numbers.
link |
00:52:00.100
It's an equation about some kind of geometric,
link |
00:52:02.900
some kind of topological thing, which is very strange.
link |
00:52:05.420
And so, you know, when I come down, you know,
link |
00:52:09.220
like a rabbi, I like to kind of like come up
link |
00:52:11.500
with these answers and somehow like dodge
link |
00:52:13.340
the original question and say like,
link |
00:52:14.740
you're both right, my children.
link |
00:52:15.860
Okay, so.
link |
00:52:17.260
Yeah.
link |
00:52:19.140
So for the straw, I think what a modern mathematician
link |
00:52:23.460
would say is like, the first version would be to say like,
link |
00:52:27.980
well, there are two holes,
link |
00:52:29.260
but they're really both the same hole.
link |
00:52:31.340
Well, that's not quite right.
link |
00:52:32.260
A better way to say it is there's two holes,
link |
00:52:34.740
but one is the negative of the other.
link |
00:52:37.500
Now, what can that mean?
link |
00:52:39.860
One way of thinking about what it means is that
link |
00:52:41.420
if you sip something like a milkshake through the straw,
link |
00:52:44.620
no matter what, the amount of milkshake
link |
00:52:48.100
that's flowing in one end,
link |
00:52:49.940
that same amount is flowing out the other end.
link |
00:52:53.380
So they're not independent from each other.
link |
00:52:55.780
There's some relationship between them.
link |
00:52:57.660
In the same way that if you somehow
link |
00:53:00.780
could like suck a milkshake through a pair of pants,
link |
00:53:05.140
the amount of milkshake,
link |
00:53:06.580
just go with me on this thought experiment.
link |
00:53:08.860
I'm right there with you.
link |
00:53:09.700
The amount of milkshake that's coming in
link |
00:53:11.660
the left leg of the pants,
link |
00:53:13.300
plus the amount of milkshake that's coming in
link |
00:53:15.060
the right leg of the pants,
link |
00:53:16.620
is the same that's coming out the waist of the pants.
link |
00:53:20.740
So just so you know, I fasted for 72 hours
link |
00:53:24.140
the last three days.
link |
00:53:25.540
So I just broke the fast with a little bit of food yesterday.
link |
00:53:27.740
So this sounds, food analogies or metaphors
link |
00:53:32.060
for this podcast work wonderfully
link |
00:53:33.740
because I can intensely picture it.
link |
00:53:35.740
Is that your weekly routine or just in preparation
link |
00:53:37.860
for talking about geometry for three hours?
link |
00:53:39.460
Exactly, this is just for this.
link |
00:53:41.900
It's hardship to purify the mind.
link |
00:53:44.100
No, it's for the first time,
link |
00:53:45.180
I just wanted to try the experience.
link |
00:53:46.660
Oh, wow.
link |
00:53:47.500
And just to pause,
link |
00:53:50.060
to do things that are out of the ordinary,
link |
00:53:52.060
to pause and to reflect on how grateful I am
link |
00:53:55.980
to be just alive and be able to do all the cool shit
link |
00:53:59.220
that I get to do, so.
link |
00:54:00.220
Did you drink water?
link |
00:54:01.340
Yes, yes, yes, yes, yes.
link |
00:54:03.060
Water and salt, so like electrolytes
link |
00:54:05.740
and all those kinds of things.
link |
00:54:07.180
But anyway, so the inflow on the top of the pants
link |
00:54:10.620
equals to the outflow on the bottom of the pants.
link |
00:54:14.620
Exactly, so this idea that,
link |
00:54:18.020
I mean, I think, you know, Poincare really had this idea,
link |
00:54:21.340
this sort of modern idea.
link |
00:54:22.820
I mean, building on stuff other people did,
link |
00:54:25.020
Betty is an important one,
link |
00:54:26.700
of this kind of modern notion of relations between holes.
link |
00:54:29.900
But the idea that holes really had an arithmetic,
link |
00:54:32.540
the really modern view was really Emmy Noether's idea.
link |
00:54:35.540
So she kind of comes in and sort of truly puts the subject
link |
00:54:40.820
on its modern footing that we have now.
link |
00:54:43.300
So, you know, it's always a challenge, you know,
link |
00:54:45.380
in the book, I'm not gonna say I give like a course
link |
00:54:48.620
so that you read this chapter and then you're like,
link |
00:54:50.300
oh, it's just like I took like a semester
link |
00:54:51.940
of algebraic anthropology.
link |
00:54:53.100
It's not like this and it's always a challenge
link |
00:54:55.500
writing about math because there are some things
link |
00:55:00.260
that you can really do on the page and the math is there.
link |
00:55:03.300
And there's other things which it's too much
link |
00:55:05.860
in a book like this to like do them all the page.
link |
00:55:07.380
You can only say something about them, if that makes sense.
link |
00:55:12.620
So, you know, in the book, I try to do some of both.
link |
00:55:14.780
I try to do, I try to, topics that are,
link |
00:55:18.740
you can't really compress and really truly say
link |
00:55:22.100
exactly what they are in this amount of space.
link |
00:55:27.420
I try to say something interesting about them,
link |
00:55:28.980
something meaningful about them
link |
00:55:30.180
so that readers can get the flavor.
link |
00:55:31.740
And then in other places,
link |
00:55:34.380
I really try to get up close and personal
link |
00:55:36.620
and really do the math and have it take place on the page.
link |
00:55:40.740
To some degree be able to give inklings
link |
00:55:44.100
of the beauty of the subject.
link |
00:55:45.820
Yeah, I mean, there's a lot of books that are like,
link |
00:55:48.260
I don't quite know how to express this well.
link |
00:55:49.740
I'm still laboring to do it,
link |
00:55:51.020
but there's a lot of books that are about stuff,
link |
00:55:57.380
but I want my books to not only be about stuff,
link |
00:56:01.020
but to actually have some stuff there on the page
link |
00:56:03.620
in the book for people to interact with directly
link |
00:56:05.620
and not just sort of hear me talk about
link |
00:56:07.060
distant features of it.
link |
00:56:10.500
Right, so not be talking just about ideas,
link |
00:56:13.700
but the actually be expressing the idea.
link |
00:56:16.860
Is there, you know, somebody in the,
link |
00:56:18.700
maybe you can comment, there's a guy,
link |
00:56:21.420
his YouTube channel is 3Blue1Brown, Grant Sanderson.
link |
00:56:25.460
He does that masterfully well.
link |
00:56:27.860
Absolutely.
link |
00:56:28.700
Of visualizing, of expressing a particular idea
link |
00:56:31.620
and then talking about it as well back and forth.
link |
00:56:34.540
What do you think about Grant?
link |
00:56:37.020
It's fantastic.
link |
00:56:37.980
I mean, the flowering of math YouTube
link |
00:56:40.180
is like such a wonderful thing
link |
00:56:41.460
because math teaching, there's so many different venues
link |
00:56:47.020
through which we can teach people math.
link |
00:56:48.860
There's the traditional one, right?
link |
00:56:51.500
Where I'm in a classroom with, depending on the class,
link |
00:56:55.300
it could be 30 people, it could be a hundred people,
link |
00:56:57.700
it could, God help me, be a 500 people
link |
00:56:59.460
if it's like the big calculus lecture or whatever it may be.
link |
00:57:01.860
And there's sort of some,
link |
00:57:02.700
but there's some set of people of that order of magnitude
link |
00:57:05.060
and I'm with them, we have a long time.
link |
00:57:06.460
I'm with them for a whole semester
link |
00:57:08.340
and I can ask them to do homework and we talk together.
link |
00:57:10.300
We have office hours, if they have one on one questions,
link |
00:57:12.140
a lot of, it's like a very high level of engagement,
link |
00:57:14.500
but how many people am I actually hitting at a time?
link |
00:57:17.180
Like not that many, right?
link |
00:57:20.460
And you can, and there's kind of an inverse relationship
link |
00:57:22.940
where the more, the fewer people you're talking to,
link |
00:57:27.740
the more engagement you can ask for.
link |
00:57:29.300
The ultimate of course is like the mentorship relation
link |
00:57:32.020
of like a PhD advisor and a graduate student
link |
00:57:35.020
where you spend a lot of one on one time together
link |
00:57:38.020
for like three to five years.
link |
00:57:41.260
And the ultimate high level of engagement to one person.
link |
00:57:46.380
Books, this can get to a lot more people
link |
00:57:50.420
that are ever gonna sit in my classroom
link |
00:57:52.700
and you spend like however many hours it takes
link |
00:57:57.060
to read a book.
link |
00:57:58.700
Somebody like Three Blue One Brown or Numberphile
link |
00:58:01.140
or people like Vi Hart.
link |
00:58:03.140
I mean, YouTube, let's face it, has bigger reach than a book.
link |
00:58:07.900
Like there's YouTube videos that have many, many,
link |
00:58:09.660
many more views than like any hardback book
link |
00:58:13.300
like not written by a Kardashian or an Obama
link |
00:58:15.820
is gonna sell, right?
link |
00:58:16.660
So that's, I mean,
link |
00:58:20.100
and then those are, some of them are like longer,
link |
00:58:24.860
20 minutes long, some of them are five minutes long,
link |
00:58:26.580
but they're shorter.
link |
00:58:27.820
And then even some of you look like Eugenia Chang
link |
00:58:29.740
who's a wonderful category theorist in Chicago.
link |
00:58:31.540
I mean, she was on, I think the Daily Show or is it,
link |
00:58:33.620
I mean, she was on, she has 30 seconds,
link |
00:58:35.820
but then there's like 30 seconds
link |
00:58:37.060
to sort of say something about mathematics
link |
00:58:38.740
to like untold millions of people.
link |
00:58:41.100
So everywhere along this curve is important.
link |
00:58:43.980
And one thing I feel like is great right now
link |
00:58:46.580
is that people are just broadcasting on all the channels
link |
00:58:49.220
because we each have our skills, right?
link |
00:58:51.900
Somehow along the way, like I learned how to write books.
link |
00:58:53.820
I had this kind of weird life as a writer
link |
00:58:55.700
where I sort of spent a lot of time
link |
00:58:57.100
like thinking about how to put English words together
link |
00:58:59.620
into sentences and sentences together into paragraphs,
link |
00:59:01.880
like at length,
link |
00:59:03.300
which is this kind of like weird specialized skill.
link |
00:59:06.940
And that's one thing, but like sort of being able to make
link |
00:59:09.140
like winning, good looking, eye catching videos
link |
00:59:13.000
is like a totally different skill.
link |
00:59:15.060
And probably somewhere out there,
link |
00:59:16.740
there's probably sort of some like heavy metal band
link |
00:59:19.540
that's like teaching math through heavy metal
link |
00:59:21.820
and like using their skills to do that.
link |
00:59:23.340
I hope there is at any rate.
link |
00:59:25.060
Their music and so on, yeah.
link |
00:59:26.580
But there is something to the process.
link |
00:59:28.820
I mean, Grant does this especially well,
link |
00:59:31.740
which is in order to be able to visualize something,
link |
00:59:36.420
now he writes programs, so it's programmatic visualization.
link |
00:59:39.560
So like the things he is basically mostly
link |
00:59:42.900
through his Manum library and Python,
link |
00:59:46.220
everything is drawn through Python.
link |
00:59:49.340
You have to truly understand the topic
link |
00:59:54.600
to be able to visualize it in that way
link |
00:59:58.140
and not just understand it,
link |
00:59:59.700
but really kind of think in a very novel way.
link |
01:00:04.380
It's funny because I've spoken with him a couple of times,
link |
01:00:07.540
spoken to him a lot offline as well.
link |
01:00:09.860
He really doesn't think he's doing anything new,
link |
01:00:14.100
meaning like he sees himself as very different
link |
01:00:17.380
from maybe like a researcher,
link |
01:00:20.460
but it feels to me like he's creating something totally new.
link |
01:00:26.400
Like that act of understanding and visualizing
link |
01:00:29.340
is as powerful or has the same kind of inkling of power
link |
01:00:33.380
as does the process of proving something.
link |
01:00:36.980
It doesn't have that clear destination,
link |
01:00:39.940
but it's pulling out an insight
link |
01:00:42.180
and creating multiple sets of perspective
link |
01:00:44.900
that arrive at that insight.
link |
01:00:46.980
And to be honest, it's something that I think
link |
01:00:49.220
we haven't quite figured out how to value
link |
01:00:53.340
inside academic mathematics in the same way,
link |
01:00:55.380
and this is a bit older,
link |
01:00:56.220
that I think we haven't quite figured out
link |
01:00:57.780
how to value the development
link |
01:00:59.460
of computational infrastructure.
link |
01:01:01.020
We all have computers as our partners now
link |
01:01:02.900
and people build computers that sort of assist
link |
01:01:07.860
and participate in our mathematics.
link |
01:01:09.300
They build those systems
link |
01:01:10.480
and that's a kind of mathematics too,
link |
01:01:12.600
but not in the traditional form
link |
01:01:14.020
of proving theorems and writing papers.
link |
01:01:16.420
But I think it's coming.
link |
01:01:17.260
Look, I mean, I think, for example,
link |
01:01:20.380
the Institute for Computational Experimental Mathematics
link |
01:01:23.520
at Brown, which is like, it's a NSF funded math institute,
link |
01:01:27.820
very much part of sort of traditional math academia.
link |
01:01:29.860
They did an entire theme semester
link |
01:01:31.720
about visualizing mathematics,
link |
01:01:33.180
looking at the same kind of thing that they would do
link |
01:01:34.620
for like an up and coming research topic.
link |
01:01:37.780
Like that's pretty cool.
link |
01:01:38.620
So I think there really is buy in
link |
01:01:40.260
from the mathematics community
link |
01:01:43.380
to recognize that this kind of stuff is important
link |
01:01:45.420
and counts as part of mathematics,
link |
01:01:47.540
like part of what we're actually here to do.
link |
01:01:50.560
Yeah, I'm hoping to see more and more of that
link |
01:01:52.020
from like MIT faculty, from faculty,
link |
01:01:54.420
from all the top universities in the world.
link |
01:01:57.540
Let me ask you this weird question about the Fields Medal,
link |
01:02:00.020
which is the Nobel Prize in Mathematics.
link |
01:02:02.960
Do you think, since we're talking about computers,
link |
01:02:05.540
there will one day come a time when a computer,
link |
01:02:11.860
an AI system will win a Fields Medal?
link |
01:02:16.060
No.
link |
01:02:16.900
Of course, that's what a human would say.
link |
01:02:19.740
Why not?
link |
01:02:20.580
Is that like, that's like my captcha?
link |
01:02:23.380
That's like the proof that I'm a human?
link |
01:02:24.500
Is that like the lie that I know?
link |
01:02:25.340
Yeah.
link |
01:02:26.820
What is, how does he want me to answer?
link |
01:02:28.940
Is there something interesting to be said about that?
link |
01:02:31.980
Yeah, I mean, I am tremendously interested
link |
01:02:34.620
in what AI can do in pure mathematics.
link |
01:02:37.820
I mean, it's, of course, it's a parochial interest, right?
link |
01:02:40.500
You're like, why am I interested in like,
link |
01:02:41.700
how it can like help feed the world
link |
01:02:43.140
or help solve like real social problems?
link |
01:02:44.700
I'm like, can it do more math?
link |
01:02:46.140
Like, what can I do?
link |
01:02:47.540
We all have our interests, right?
link |
01:02:49.580
But I think it is a really interesting conceptual question.
link |
01:02:53.700
And here too, I think it's important to be kind of historical
link |
01:02:59.820
because it's certainly true that there's lots of things
link |
01:03:02.260
that we used to call research in mathematics
link |
01:03:04.940
that we would now call computation.
link |
01:03:07.380
Tasks that we've now offloaded to machines.
link |
01:03:09.620
Like, you know, in 1890, somebody could be like,
link |
01:03:12.580
here's my PhD thesis.
link |
01:03:13.780
I computed all the invariants of this polynomial ring
link |
01:03:18.180
under the action of some finite group.
link |
01:03:19.900
Doesn't matter what those words mean,
link |
01:03:21.380
just it's like some thing that in 1890
link |
01:03:24.020
would take a person a year to do
link |
01:03:26.060
and would be a valuable thing that you might wanna know.
link |
01:03:28.060
And it's still a valuable thing that you might wanna know,
link |
01:03:29.940
but now you type a few lines of code
link |
01:03:32.780
in Macaulay or Sage or Magma and you just have it.
link |
01:03:37.740
So we don't think of that as math anymore,
link |
01:03:40.260
even though it's the same thing.
link |
01:03:41.700
What's Macaulay, Sage and Magma?
link |
01:03:43.420
Oh, those are computer algebra programs.
link |
01:03:45.060
So those are like sort of bespoke systems
link |
01:03:46.900
that lots of mathematicians use.
link |
01:03:48.140
That's similar to Maple and...
link |
01:03:49.620
Yeah, oh yeah, so it's similar to Maple and Mathematica,
link |
01:03:51.580
yeah, but a little more specialized, but yeah.
link |
01:03:54.700
It's programs that work with symbols
link |
01:03:56.620
and allow you to do, can you do proofs?
link |
01:03:58.180
Can you do kind of little leaps and proofs?
link |
01:04:01.060
They're not really built for that.
link |
01:04:02.420
And that's a whole other story.
link |
01:04:04.780
But these tools are part of the process of mathematics now.
link |
01:04:07.300
Right, they are now for most mathematicians, I would say,
link |
01:04:09.940
part of the process of mathematics.
link |
01:04:11.620
And so, you know, there's a story I tell in the book,
link |
01:04:14.740
which I'm fascinated by, which is, you know,
link |
01:04:17.740
so far, attempts to get AIs
link |
01:04:22.540
to prove interesting theorems have not done so well.
link |
01:04:27.300
It doesn't mean they can.
link |
01:04:28.140
There's actually a paper I just saw,
link |
01:04:29.740
which has a very nice use of a neural net
link |
01:04:32.460
to find counter examples to conjecture.
link |
01:04:34.620
Somebody said like, well, maybe this is always that.
link |
01:04:37.220
And you can be like, well, let me sort of train an AI
link |
01:04:39.300
to sort of try to find things where that's not true.
link |
01:04:43.180
And it actually succeeded.
link |
01:04:44.020
Now, in this case, if you look at the things that it found,
link |
01:04:48.180
you say like, okay, I mean, these are not famous conjectures.
link |
01:04:53.180
Okay, so like somebody wrote this down, maybe this is so.
link |
01:04:58.220
Looking at what the AI came up with, you're like,
link |
01:05:00.900
you know, I bet if like five grad students
link |
01:05:03.700
had thought about that problem,
link |
01:05:04.660
they wouldn't have come up with that.
link |
01:05:05.500
I mean, when you see it, you're like,
link |
01:05:06.820
okay, that is one of the things you might try
link |
01:05:08.380
if you sort of like put some work into it.
link |
01:05:10.500
Still, it's pretty awesome.
link |
01:05:12.620
But the story I tell in the book, which I'm fascinated by
link |
01:05:15.740
is there is, okay, we're gonna go back to knots.
link |
01:05:21.940
There's a knot called the Conway knot.
link |
01:05:23.940
After John Conway, maybe we'll talk about
link |
01:05:25.380
a very interesting character also.
link |
01:05:26.420
Yeah, it's a small tangent.
link |
01:05:28.140
Somebody I was supposed to talk to
link |
01:05:29.420
and unfortunately he passed away
link |
01:05:30.780
and he's somebody I find as an incredible mathematician,
link |
01:05:35.220
incredible human being.
link |
01:05:36.220
Oh, and I am sorry that you didn't get a chance
link |
01:05:38.300
because having had the chance to talk to him a lot
link |
01:05:40.300
when I was a postdoc, yeah, you missed out.
link |
01:05:44.140
There's no way to sugarcoat it.
link |
01:05:45.140
I'm sorry that you didn't get that chance.
link |
01:05:46.620
Yeah, it is what it is.
link |
01:05:47.900
So knots.
link |
01:05:50.100
Yeah, so there was a question and again,
link |
01:05:52.580
it doesn't matter the technicalities of the question,
link |
01:05:54.380
but it's a question of whether the knot is slice.
link |
01:05:56.300
It has to do with something about what kinds
link |
01:05:59.980
of three dimensional surfaces and four dimensions
link |
01:06:02.340
can be bounded by this knot.
link |
01:06:03.460
But nevermind what it means, it's some question.
link |
01:06:06.180
And it's actually very hard to compute
link |
01:06:08.300
whether a knot is slice or not.
link |
01:06:12.860
And in particular, the question of the Conway knot,
link |
01:06:16.940
whether it was slice or not, was particularly vexed
link |
01:06:23.060
until it was solved just a few years ago
link |
01:06:24.620
by Lisa Piccarillo, who actually,
link |
01:06:26.260
now that I think of it, was here in Austin.
link |
01:06:27.700
I believe she was a grad student at UT Austin at the time.
link |
01:06:29.980
I didn't even realize there was an Austin connection
link |
01:06:31.540
to this story until I started telling it.
link |
01:06:34.100
In fact, I think she's now at MIT,
link |
01:06:35.780
so she's basically following you around.
link |
01:06:38.140
If I remember correctly.
link |
01:06:38.980
The reverse.
link |
01:06:39.820
There's a lot of really interesting richness to this story.
link |
01:06:42.700
One thing about it is her paper was rather,
link |
01:06:45.620
was very short, it was very short and simple.
link |
01:06:48.140
Nine pages of which two were pictures.
link |
01:06:51.660
Very short for like a paper solving a major conjecture.
link |
01:06:54.620
And it really makes you think about what we mean
link |
01:06:55.900
by difficulty in mathematics.
link |
01:06:57.300
Like, do you say, oh, actually the problem wasn't difficult
link |
01:06:59.460
because you could solve it so simply?
link |
01:07:00.860
Or do you say like, well, no, evidently it was difficult
link |
01:07:03.300
because like the world's top topologists,
link |
01:07:05.180
many, you know, worked on it for 20 years
link |
01:07:06.580
and nobody could solve it, so therefore it is difficult.
link |
01:07:08.540
Or is it that we need sort of some new category
link |
01:07:10.460
of things that about which it's difficult
link |
01:07:12.820
to figure out that they're not difficult?
link |
01:07:15.700
I mean, this is the computer science formulation,
link |
01:07:18.660
but the sort of the journey to arrive
link |
01:07:22.740
at the simple answer may be difficult,
link |
01:07:24.700
but once you have the answer, it will then appear simple.
link |
01:07:28.700
And I mean, there might be a large category.
link |
01:07:30.620
I hope there's a large set of such solutions,
link |
01:07:37.380
because, you know, once we stand
link |
01:07:41.460
at the end of the scientific process
link |
01:07:43.380
that we're at the very beginning of,
link |
01:07:46.100
or at least it feels like,
link |
01:07:47.540
I hope there's just simple answers to everything
link |
01:07:50.140
that we'll look and it'll be simple laws
link |
01:07:53.580
that govern the universe,
link |
01:07:55.100
simple explanation of what is consciousness,
link |
01:07:58.020
what is love, is mortality fundamental to life,
link |
01:08:02.340
what's the meaning of life, are humans special
link |
01:08:07.100
or we're just another sort of reflection
link |
01:08:09.100
of all that is beautiful in the universe
link |
01:08:13.740
in terms of like life forms, all of it is life
link |
01:08:16.180
and just has different,
link |
01:08:18.380
when taken from a different perspective
link |
01:08:19.900
is all life can seem more valuable or not,
link |
01:08:22.460
but really it's all part of the same thing.
link |
01:08:24.180
All those will have a nice, like two equations,
link |
01:08:26.500
maybe one equation, but.
link |
01:08:28.100
Why do you think you want those questions
link |
01:08:30.820
to have simple answers?
link |
01:08:32.740
I think just like symmetry
link |
01:08:35.700
and the breaking of symmetry is beautiful somehow.
link |
01:08:39.020
There's something beautiful about simplicity.
link |
01:08:41.420
I think it, what is that?
link |
01:08:42.260
So it's aesthetic.
link |
01:08:43.420
It's aesthetic, yeah.
link |
01:08:45.140
Or, but it's aesthetic in the way
link |
01:08:47.100
that happiness is an aesthetic.
link |
01:08:49.660
Like, why is that so joyful
link |
01:08:53.660
that a simple explanation that governs
link |
01:08:57.700
a large number of cases is really appealing?
link |
01:09:01.940
Even when it's not, like obviously we get
link |
01:09:05.820
a huge amount of trouble with that
link |
01:09:07.340
because oftentimes it doesn't have to be connected
link |
01:09:11.460
with reality or even that explanation
link |
01:09:13.500
could be exceptionally harmful.
link |
01:09:15.580
Most of like the world's history that has,
link |
01:09:18.860
that was governed by hate and violence
link |
01:09:21.020
had a very simple explanation at the core
link |
01:09:23.980
that was used to cause the violence and the hatred.
link |
01:09:26.980
So like we get into trouble with that,
link |
01:09:28.780
but why is that so appealing?
link |
01:09:30.420
And in this nice forms in mathematics,
link |
01:09:33.820
like you look at the Einstein papers,
link |
01:09:36.580
why are those so beautiful?
link |
01:09:38.020
And why is the Andrew Wiles proof
link |
01:09:40.180
of the Fermat's last theorem not quite so beautiful?
link |
01:09:43.220
Like what's beautiful about that story
link |
01:09:45.620
is the human struggle of like the human story
link |
01:09:48.900
of perseverance, of the drama,
link |
01:09:51.700
of not knowing if the proof is correct
link |
01:09:53.900
and ups and downs and all of those kinds of things.
link |
01:09:56.060
That's the interesting part.
link |
01:09:57.220
But the fact that the proof is huge
link |
01:09:58.660
and nobody understands, well,
link |
01:10:00.020
from my outsider's perspective,
link |
01:10:01.220
nobody understands what the heck it is,
link |
01:10:04.620
is not as beautiful as it could have been.
link |
01:10:06.700
I wish it was what Fermat originally said,
link |
01:10:09.220
which is, you know, it's not,
link |
01:10:13.740
it's not small enough to fit in the margins of this page,
link |
01:10:17.220
but maybe if he had like a full page
link |
01:10:19.300
or maybe a couple of post it notes,
link |
01:10:20.820
he would have enough to do the proof.
link |
01:10:22.940
What do you make of,
link |
01:10:23.860
if we could take another of a multitude of tangents,
link |
01:10:27.740
what do you make of Fermat's last theorem?
link |
01:10:29.260
Because the statement, there's a few theorems,
link |
01:10:31.660
there's a few problems that are deemed by the world
link |
01:10:35.540
throughout its history to be exceptionally difficult.
link |
01:10:37.780
And that one in particular is really simple to formulate
link |
01:10:42.380
and really hard to come up with a proof for.
link |
01:10:46.260
And it was like taunted as simple by Fermat himself.
link |
01:10:51.340
Is there something interesting to be said about
link |
01:10:53.900
that X to the N plus Y to the N equals Z to the N
link |
01:10:57.700
for N of three or greater, is there a solution to this?
link |
01:11:02.540
And then how do you go about proving that?
link |
01:11:04.300
Like, how would you try to prove that?
link |
01:11:08.180
And what do you learn from the proof
link |
01:11:09.980
that eventually emerged by Andrew Wiles?
link |
01:11:12.100
Yeah, so right, so to give,
link |
01:11:13.460
let me just say the background,
link |
01:11:14.380
because I don't know if everybody listening knows the story.
link |
01:11:17.020
So, you know, Fermat was an early number theorist,
link |
01:11:21.940
at least sort of an early mathematician,
link |
01:11:23.100
those special adjacent didn't really exist back then.
link |
01:11:27.340
He comes up in the book actually,
link |
01:11:28.660
in the context of a different theorem of his
link |
01:11:31.460
that has to do with testing,
link |
01:11:32.620
whether a number is prime or not.
link |
01:11:34.620
So I write about, he was one of the ones who was salty
link |
01:11:37.380
and like, he would exchange these letters
link |
01:11:39.460
where he and his correspondents would like
link |
01:11:41.100
try to top each other and vex each other with questions
link |
01:11:44.060
and stuff like this.
link |
01:11:44.900
But this particular thing,
link |
01:11:47.900
it's called Fermat's Last Theorem because it's a note
link |
01:11:50.780
he wrote in his copy of the Disquisitiones Arithmetic I.
link |
01:11:57.340
Like he wrote, here's an equation, it has no solutions.
link |
01:12:00.820
I can prove it, but the proof's like a little too long
link |
01:12:03.300
to fit in the margin of this book.
link |
01:12:05.500
He was just like writing a note to himself.
link |
01:12:07.060
Now, let me just say historically,
link |
01:12:08.540
we know that Fermat did not have a proof of this theorem.
link |
01:12:11.540
For a long time, people were like this mysterious proof
link |
01:12:15.420
that was lost, a very romantic story, right?
link |
01:12:17.220
But a fair amount later,
link |
01:12:21.300
he did prove special cases of this theorem
link |
01:12:24.260
and wrote about it, talked to people about the problem.
link |
01:12:27.300
It's very clear from the way that he wrote
link |
01:12:29.060
where he can solve certain examples
link |
01:12:30.700
of this type of equation
link |
01:12:32.100
that he did not know how to do the whole thing.
link |
01:12:35.700
He may have had a deep, simple intuition
link |
01:12:39.860
about how to solve the whole thing
link |
01:12:41.740
that he had at that moment
link |
01:12:43.780
without ever being able to come up with a complete proof.
link |
01:12:47.020
And that intuition maybe lost the time.
link |
01:12:50.420
Maybe, but you're right, that is unknowable.
link |
01:12:54.500
But I think what we can know is that later,
link |
01:12:56.940
he certainly did not think that he had a proof
link |
01:12:59.100
that he was concealing from people.
link |
01:13:00.620
He thought he didn't know how to prove it,
link |
01:13:04.340
and I also think he didn't know how to prove it.
link |
01:13:06.380
Now, I understand the appeal of saying like,
link |
01:13:10.180
wouldn't it be cool if this very simple equation
link |
01:13:12.500
there was like a very simple, clever, wonderful proof
link |
01:13:16.020
that you could do in a page or two.
link |
01:13:17.340
And that would be great, but you know what?
link |
01:13:18.980
There's lots of equations like that
link |
01:13:20.340
that are solved by very clever methods like that,
link |
01:13:22.180
including the special cases that Fermat wrote about,
link |
01:13:24.340
the method of descent,
link |
01:13:25.180
which is like very wonderful and important.
link |
01:13:26.860
But in the end, those are nice things
link |
01:13:31.700
that like you teach in an undergraduate class,
link |
01:13:34.780
and it is what it is,
link |
01:13:35.860
but they're not big.
link |
01:13:38.660
On the other hand, work on the Fermat problem,
link |
01:13:41.580
that's what we like to call it
link |
01:13:42.420
because it's not really his theorem
link |
01:13:44.100
because we don't think he proved it.
link |
01:13:45.220
So, I mean, work on the Fermat problem
link |
01:13:49.180
developed this like incredible richness of number theory
link |
01:13:52.340
that we now live in today.
link |
01:13:54.780
Like, and not, by the way,
link |
01:13:56.060
just Wiles, Andrew Wiles being the person
link |
01:13:58.660
who, together with Richard Taylor,
link |
01:13:59.660
finally proved this theorem.
link |
01:14:01.700
But you know how you have this whole moment
link |
01:14:03.220
that people try to prove this theorem
link |
01:14:05.380
and they fail,
link |
01:14:06.540
and there's a famous false proof by LeMay
link |
01:14:08.780
from the 19th century,
link |
01:14:10.420
where Kummer, in understanding what mistake LeMay had made
link |
01:14:14.460
in this incorrect proof,
link |
01:14:16.300
basically understands something incredible,
link |
01:14:18.340
which is that a thing we know about numbers
link |
01:14:20.940
is that you can factor them
link |
01:14:24.500
and you can factor them uniquely.
link |
01:14:26.940
There's only one way to break a number up into primes.
link |
01:14:30.300
Like if we think of a number like 12,
link |
01:14:32.260
12 is two times three times two.
link |
01:14:35.500
I had to think about it.
link |
01:14:38.420
Or it's two times two times three,
link |
01:14:39.700
of course you can reorder them.
link |
01:14:41.580
But there's no other way to do it.
link |
01:14:43.220
There's no universe in which 12 is something times five,
link |
01:14:46.140
or in which there's like four threes in it.
link |
01:14:47.500
Nope, 12 is like two twos and a three.
link |
01:14:49.140
Like that is what it is.
link |
01:14:50.700
And that's such a fundamental feature of arithmetic
link |
01:14:54.820
that we almost think of it like God's law.
link |
01:14:56.540
You know what I mean?
link |
01:14:57.380
It has to be that way.
link |
01:14:58.220
That's a really powerful idea.
link |
01:15:00.020
It's so cool that every number
link |
01:15:02.540
is uniquely made up of other numbers.
link |
01:15:05.620
And like made up meaning like there's these like basic atoms
link |
01:15:10.900
that form molecules that get built on top of each other.
link |
01:15:15.380
I love it.
link |
01:15:16.220
I mean, when I teach undergraduate number theory,
link |
01:15:18.060
it's like, it's the first really deep theorem
link |
01:15:22.180
that you prove.
link |
01:15:23.540
What's amazing is the fact
link |
01:15:25.300
that you can factor a number into primes is much easier.
link |
01:15:28.980
Essentially Euclid knew it,
link |
01:15:30.340
although he didn't quite put it in that way.
link |
01:15:33.700
The fact that you can do it at all.
link |
01:15:34.860
What's deep is the fact that there's only one way to do it
link |
01:15:38.820
or however you sort of chop the number up,
link |
01:15:40.620
you end up with the same set of prime factors.
link |
01:15:44.820
And indeed what people finally understood
link |
01:15:49.300
at the end of the 19th century is that
link |
01:15:51.900
if you work in number systems slightly more general
link |
01:15:54.620
than the ones we're used to,
link |
01:15:56.100
which it turns out are relevant to Fermat,
link |
01:16:01.220
all of a sudden this stops being true.
link |
01:16:04.320
Things get, I mean, things get more complicated
link |
01:16:07.980
and now because you were praising simplicity before
link |
01:16:10.060
you were like, it's so beautiful, unique factorization.
link |
01:16:12.700
It's so great.
link |
01:16:13.740
Like, so when I tell you
link |
01:16:14.900
that in more general number systems,
link |
01:16:16.700
there is no unique factorization.
link |
01:16:18.380
Maybe you're like, that's bad.
link |
01:16:19.360
I'm like, no, that's good
link |
01:16:20.260
because there's like a whole new world of phenomena
link |
01:16:22.580
to study that you just can't see
link |
01:16:24.380
through the lens of the numbers that we're used to.
link |
01:16:26.980
So I'm for complication.
link |
01:16:29.940
I'm highly in favor of complication
link |
01:16:32.380
because every complication is like an opportunity
link |
01:16:34.620
for new things to study.
link |
01:16:35.900
And is that the big kind of one of the big insights
link |
01:16:40.180
for you from Andrew Wiles's proof?
link |
01:16:42.900
Is there interesting insights about the process
link |
01:16:46.300
that you used to prove that sort of resonates
link |
01:16:49.580
with you as a mathematician?
link |
01:16:51.380
Is there an interesting concept that emerged from it?
link |
01:16:54.420
Is there interesting human aspects to the proof?
link |
01:16:57.980
Whether there's interesting human aspects
link |
01:16:59.860
to the proof itself is an interesting question.
link |
01:17:02.640
Certainly it has a huge amount of richness.
link |
01:17:05.520
Sort of at its heart is an argument
link |
01:17:07.680
of what's called deformation theory,
link |
01:17:12.420
which was in part created by my PhD advisor, Barry Mazer.
link |
01:17:18.200
Can you speak to what deformation theory is?
link |
01:17:20.180
I can speak to what it's like.
link |
01:17:21.940
How about that?
link |
01:17:22.940
What does it rhyme with?
link |
01:17:24.660
Right, well, the reason that Barry called it
link |
01:17:27.340
deformation theory, I think he's the one
link |
01:17:29.460
who gave it the name.
link |
01:17:30.860
I hope I'm not wrong in saying it's a name.
link |
01:17:32.340
In your book, you have calling different things
link |
01:17:35.140
by the same name as one of the things
link |
01:17:37.860
in the beautiful map that opens the book.
link |
01:17:40.380
Yes, and this is a perfect example.
link |
01:17:42.040
So this is another phrase of Poincare,
link |
01:17:44.100
this like incredible generator of slogans and aphorisms.
link |
01:17:46.780
He said, mathematics is the art
link |
01:17:47.900
of calling different things by the same name.
link |
01:17:49.860
That very thing we do, right?
link |
01:17:52.500
When we're like this triangle and this triangle,
link |
01:17:53.980
come on, they're the same triangle,
link |
01:17:55.040
they're just in a different place, right?
link |
01:17:56.500
So in the same way, it came to be understood
link |
01:18:00.420
that the kinds of objects that you study
link |
01:18:06.900
when you study Fermat's Last Theorem,
link |
01:18:10.180
and let's not even be too careful
link |
01:18:12.100
about what these objects are.
link |
01:18:13.700
I can tell you there are gaol representations
link |
01:18:15.780
in modular forms, but saying those words
link |
01:18:18.420
is not gonna mean so much.
link |
01:18:19.700
But whatever they are, they're things that can be deformed,
link |
01:18:23.740
moved around a little bit.
link |
01:18:25.940
And I think the insight of what Andrew
link |
01:18:28.460
and then Andrew and Richard were able to do
link |
01:18:31.300
was to say something like this.
link |
01:18:33.700
A deformation means moving something just a tiny bit,
link |
01:18:36.680
like an infinitesimal amount.
link |
01:18:39.380
If you really are good at understanding
link |
01:18:41.460
which ways a thing can move in a tiny, tiny, tiny,
link |
01:18:44.700
infinitesimal amount in certain directions,
link |
01:18:46.760
maybe you can piece that information together
link |
01:18:49.260
to understand the whole global space in which it can move.
link |
01:18:52.500
And essentially, their argument comes down
link |
01:18:54.420
to showing that two of those big global spaces
link |
01:18:57.320
are actually the same, the fabled R equals T,
link |
01:19:00.060
part of their proof, which is at the heart of it.
link |
01:19:05.220
And it involves this very careful principle like that.
link |
01:19:09.540
But that being said, what I just said,
link |
01:19:12.900
it's probably not what you're thinking,
link |
01:19:14.620
because what you're thinking when you think,
link |
01:19:16.300
oh, I have a point in space and I move it around
link |
01:19:18.500
like a little tiny bit,
link |
01:19:22.220
you're using your notion of distance
link |
01:19:26.720
that's from calculus.
link |
01:19:28.300
We know what it means for like two points
link |
01:19:29.540
on the real line to be close together.
link |
01:19:32.960
So yet another thing that comes up in the book a lot
link |
01:19:37.080
is this fact that the notion of distance
link |
01:19:41.180
is not given to us by God.
link |
01:19:42.620
We could mean a lot of different things by distance.
link |
01:19:44.620
And just in the English language, we do that all the time.
link |
01:19:46.500
We talk about somebody being a close relative.
link |
01:19:49.020
It doesn't mean they live next door to you, right?
link |
01:19:51.060
It means something else.
link |
01:19:52.780
There's a different notion of distance we have in mind.
link |
01:19:54.840
And there are lots of notions of distances
link |
01:19:57.500
that you could use.
link |
01:19:58.820
In the natural language processing community and AI,
link |
01:20:01.540
there might be some notion of semantic distance
link |
01:20:04.120
or lexical distance between two words.
link |
01:20:06.340
How much do they tend to arise in the same context?
link |
01:20:08.740
That's incredibly important for doing autocomplete
link |
01:20:13.440
and like machine translation and stuff like that.
link |
01:20:15.440
And it doesn't have anything to do with
link |
01:20:16.380
are they next to each other in the dictionary, right?
link |
01:20:17.940
It's a different kind of distance.
link |
01:20:19.260
Okay, ready?
link |
01:20:20.100
In this kind of number theory,
link |
01:20:21.840
there was a crazy distance called the peatic distance.
link |
01:20:25.100
I didn't write about this that much in the book
link |
01:20:26.740
because even though I love it
link |
01:20:27.580
and it's a big part of my research life,
link |
01:20:28.620
it gets a little bit into the weeds,
link |
01:20:29.740
but your listeners are gonna hear about it now.
link |
01:20:32.500
Please.
link |
01:20:34.340
What a normal person says
link |
01:20:35.900
when they say two numbers are close,
link |
01:20:37.700
they say like their difference is like a small number,
link |
01:20:40.220
like seven and eight are close
link |
01:20:41.660
because their difference is one and one's pretty small.
link |
01:20:44.300
If we were to be what's called a two attic number theorist,
link |
01:20:48.580
we'd say, oh, two numbers are close
link |
01:20:50.900
if their difference is a multiple of a large power of two.
link |
01:20:55.660
So like one and 49 are close
link |
01:21:00.940
because their difference is 48
link |
01:21:02.980
and 48 is a multiple of 16,
link |
01:21:04.820
which is a pretty large power of two.
link |
01:21:06.700
Whereas one and two are pretty far away
link |
01:21:09.700
because the difference between them is one,
link |
01:21:12.460
which is not even a multiple of a power of two at all.
link |
01:21:14.260
That's odd.
link |
01:21:15.620
You wanna know what's really far from one?
link |
01:21:17.700
Like one and 1 64th
link |
01:21:21.620
because their difference is a negative power of two,
link |
01:21:24.700
two to the minus six.
link |
01:21:25.660
So those points are quite, quite far away.
link |
01:21:28.220
Two to the power of a large N would be two,
link |
01:21:33.740
if that's the difference between two numbers
link |
01:21:35.620
then they're close.
link |
01:21:37.140
Yeah, so two to a large power is in this metric
link |
01:21:40.140
a very small number
link |
01:21:41.660
and two to a negative power is a very big number.
link |
01:21:44.820
That's two attic.
link |
01:21:45.660
Okay, I can't even visualize that.
link |
01:21:48.700
It takes practice.
link |
01:21:49.740
It takes practice.
link |
01:21:50.580
If you've ever heard of the Cantor set,
link |
01:21:51.860
it looks kind of like that.
link |
01:21:54.100
So it is crazy that this is good for anything, right?
link |
01:21:57.300
I mean, this just sounds like a definition
link |
01:21:58.860
that someone would make up to torment you.
link |
01:22:00.660
But what's amazing is there's a general theory of distance
link |
01:22:05.580
where you say any definition you make
link |
01:22:08.380
to satisfy certain axioms deserves to be called a distance
link |
01:22:11.300
and this.
link |
01:22:12.140
See, I'm sorry to interrupt.
link |
01:22:13.860
My brain, you broke my brain.
link |
01:22:15.460
Awesome.
link |
01:22:16.540
10 seconds ago.
link |
01:22:18.100
Cause I'm also starting to map for the two attic case
link |
01:22:21.500
to binary numbers.
link |
01:22:23.100
And you know, cause we romanticize those.
link |
01:22:25.300
So I was trying to.
link |
01:22:26.140
Oh, that's exactly the right way to think of it.
link |
01:22:27.260
I was trying to mess with number,
link |
01:22:29.500
I was trying to see, okay, which ones are close.
link |
01:22:31.740
And then I'm starting to visualize
link |
01:22:33.020
different binary numbers and how they,
link |
01:22:35.620
which ones are close to each other.
link |
01:22:37.300
And I'm not sure.
link |
01:22:38.700
Well, I think there's a.
link |
01:22:39.540
No, no, it's very similar.
link |
01:22:40.580
That's exactly the right way to think of it.
link |
01:22:41.980
It's almost like binary numbers written in reverse.
link |
01:22:44.580
Because in a binary expansion, two numbers are close.
link |
01:22:47.420
A number that's small is like 0.0000 something.
link |
01:22:50.860
Something that's the decimal
link |
01:22:51.700
and it starts with a lot of zeros.
link |
01:22:53.220
In the two attic metric, a binary number is very small
link |
01:22:56.860
if it ends with a lot of zeros and then the decimal point.
link |
01:23:01.700
Gotcha.
link |
01:23:02.540
So it is kind of like binary numbers written backwards
link |
01:23:04.060
is actually, I should have said,
link |
01:23:05.100
that's what I should have said, Lex.
link |
01:23:07.420
That's a very good metaphor.
link |
01:23:08.780
Okay, but so why is that interesting
link |
01:23:12.020
except for the fact that it's a beautiful kind of framework,
link |
01:23:18.380
different kind of framework
link |
01:23:19.580
of which to think about distances.
link |
01:23:20.940
And you're talking about not just the two attic,
link |
01:23:23.060
but the generalization of that.
link |
01:23:24.220
Why is that interesting?
link |
01:23:25.060
Yeah, the NEP.
link |
01:23:25.900
And so that, because that's the kind of deformation
link |
01:23:27.580
that comes up in Wiles's proof,
link |
01:23:31.700
that deformation where moving something a little bit
link |
01:23:34.300
means a little bit in this two attic sense.
link |
01:23:36.980
Trippy, okay.
link |
01:23:38.060
No, I mean, it's such a,
link |
01:23:38.900
I mean, I just get excited talking about it
link |
01:23:40.020
and I just taught this like in the fall semester that.
link |
01:23:43.980
But it like reformulating, why is,
link |
01:23:49.380
so you pick a different measure of distance
link |
01:23:53.740
over which you can talk about very tiny changes
link |
01:23:56.980
and then use that to then prove things
link |
01:23:59.660
about the entire thing.
link |
01:24:02.300
Yes, although, honestly, what I would say,
link |
01:24:05.060
I mean, it's true that we use it to prove things,
link |
01:24:07.340
but I would say we use it to understand things.
link |
01:24:09.660
And then because we understand things better,
link |
01:24:11.540
then we can prove things.
link |
01:24:12.620
But the goal is always the understanding.
link |
01:24:14.300
The goal is not so much to prove things.
link |
01:24:16.900
The goal is not to know what's true or false.
link |
01:24:18.820
I mean, this is something I write about
link |
01:24:19.860
in the book, Near the End.
link |
01:24:20.700
And it's something that,
link |
01:24:21.540
it's a wonderful, wonderful essay by Bill Thurston,
link |
01:24:25.460
kind of one of the great geometers of our time,
link |
01:24:27.100
who unfortunately passed away a few years ago,
link |
01:24:29.700
called on proof and progress in mathematics.
link |
01:24:32.900
And he writes very wonderfully about how,
link |
01:24:35.380
we're not, it's not a theorem factory
link |
01:24:38.100
where you have a production quota.
link |
01:24:39.820
I mean, the point of mathematics
link |
01:24:40.940
is to help humans understand things.
link |
01:24:43.580
And the way we test that
link |
01:24:45.300
is that we're proving new theorems along the way.
link |
01:24:46.900
That's the benchmark, but that's not the goal.
link |
01:24:49.180
Yeah, but just as a kind of, absolutely,
link |
01:24:51.580
but as a tool, it's kind of interesting
link |
01:24:54.100
to approach a problem by saying,
link |
01:24:56.660
how can I change the distance function?
link |
01:24:59.780
Like what, the nature of distance,
link |
01:25:03.700
because that might start to lead to insights
link |
01:25:07.060
for deeper understanding.
link |
01:25:08.420
Like if I were to try to describe human society
link |
01:25:12.580
by a distance, two people are close
link |
01:25:15.500
if they love each other.
link |
01:25:17.140
Right.
link |
01:25:17.980
And then start to do a full analysis
link |
01:25:21.060
on the everybody that lives on earth currently,
link |
01:25:23.820
the 7 billion people.
link |
01:25:25.820
And from that perspective,
link |
01:25:27.700
as opposed to the geographic perspective of distance.
link |
01:25:30.860
And then maybe there could be a bunch of insights
link |
01:25:32.980
about the source of violence,
link |
01:25:35.580
the source of maybe entrepreneurial success
link |
01:25:39.260
or invention or economic success or different systems,
link |
01:25:42.980
communism, capitalism start to,
link |
01:25:44.660
I mean, that's, I guess what economics tries to do,
link |
01:25:47.460
but really saying, okay, let's think outside the box
link |
01:25:50.500
about totally new distance functions
link |
01:25:52.820
that could unlock something profound about the space.
link |
01:25:57.220
Yeah, because think about it.
link |
01:25:58.060
Okay, here's, I mean, now we're gonna talk about AI,
link |
01:26:01.180
which you know a lot more about than I do.
link |
01:26:02.980
So just start laughing uproariously
link |
01:26:05.820
if I say something that's completely wrong.
link |
01:26:07.060
We both know very little relative
link |
01:26:09.860
to what we will know centuries from now.
link |
01:26:12.620
That is a really good humble way to think about it.
link |
01:26:15.700
I like it.
link |
01:26:16.540
Okay, so let's just go for it.
link |
01:26:18.340
Okay, so I think you'll agree with this,
link |
01:26:20.500
that in some sense, what's good about AI
link |
01:26:23.020
is that we can't test any case in advance,
link |
01:26:26.340
the whole point of AI is to make,
link |
01:26:27.820
or one point of it, I guess, is to make good predictions
link |
01:26:30.540
about cases we haven't yet seen.
link |
01:26:32.620
And in some sense, that's always gonna involve
link |
01:26:34.820
some notion of distance,
link |
01:26:35.980
because it's always gonna involve
link |
01:26:37.860
somehow taking a case we haven't seen
link |
01:26:40.060
and saying what cases that we have seen is it close to,
link |
01:26:43.860
is it like, is it somehow an interpolation between.
link |
01:26:47.820
Now, when we do that,
link |
01:26:49.140
in order to talk about things being like other things,
link |
01:26:52.020
implicitly or explicitly,
link |
01:26:53.460
we're invoking some notion of distance,
link |
01:26:55.580
and boy, we better get it right.
link |
01:26:57.620
If you try to do natural language processing
link |
01:26:59.220
and your idea of distance between words
link |
01:27:01.220
is how close they are in the dictionary,
link |
01:27:03.180
when you write them in alphabetical order,
link |
01:27:04.460
you are gonna get pretty bad translations, right?
link |
01:27:08.180
No, the notion of distance has to come from somewhere else.
link |
01:27:11.580
Yeah, that's essentially what neural networks are doing,
link |
01:27:14.180
that's what word embeddings are doing is coming up with.
link |
01:27:17.340
In the case of word embeddings, literally,
link |
01:27:18.980
literally what they are doing is learning a distance.
link |
01:27:21.020
But those are super complicated distance functions,
link |
01:27:23.620
and it's almost nice to think
link |
01:27:26.220
maybe there's a nice transformation that's simple.
link |
01:27:31.500
Sorry, there's a nice formulation of the distance.
link |
01:27:34.460
Again with the simple.
link |
01:27:36.540
So you don't, let me ask you about this.
link |
01:27:41.380
From an understanding perspective,
link |
01:27:43.380
there's the Richard Feynman, maybe attributed to him,
link |
01:27:45.620
but maybe many others,
link |
01:27:48.780
is this idea that if you can't explain something simply
link |
01:27:52.460
that you don't understand it.
link |
01:27:56.380
In how many cases, how often is that true?
link |
01:28:00.700
Do you find there's some profound truth in that?
link |
01:28:05.580
Oh, okay, so you were about to ask, is it true?
link |
01:28:07.700
To which I would say flatly, no.
link |
01:28:09.300
But then you said, you followed that up with,
link |
01:28:11.260
is there some profound truth in it?
link |
01:28:13.220
And I'm like, okay, sure.
link |
01:28:14.140
So there's some truth in it.
link |
01:28:15.420
It's not true. But it's not true.
link |
01:28:16.740
It's just not.
link |
01:28:17.740
That's such a mathematician answer.
link |
01:28:22.820
The truth that is in it is that learning
link |
01:28:25.740
to explain something helps you understand it.
link |
01:28:29.980
But real things are not simple.
link |
01:28:33.460
A few things are, most are not.
link |
01:28:36.660
And to be honest, we don't really know
link |
01:28:40.140
whether Feynman really said that right
link |
01:28:41.300
or something like that is sort of disputed.
link |
01:28:43.060
But I don't think Feynman could have literally believed that
link |
01:28:46.180
whether or not he said it.
link |
01:28:47.220
And he was the kind of guy, I didn't know him,
link |
01:28:49.620
but I've been reading his writing,
link |
01:28:51.380
he liked to sort of say stuff, like stuff that sounded good.
link |
01:28:55.020
You know what I mean?
link |
01:28:55.860
So it's totally strikes me as the kind of thing
link |
01:28:57.640
he could have said because he liked the way saying it
link |
01:29:00.200
made him feel, but also knowing
link |
01:29:02.980
that he didn't like literally mean it.
link |
01:29:04.500
Well, I definitely have a lot of friends
link |
01:29:07.780
and I've talked to a lot of physicists
link |
01:29:09.540
and they do derive joy from believing
link |
01:29:12.740
that they can explain stuff simply
link |
01:29:14.540
or believing it's possible to explain stuff simply,
link |
01:29:17.820
even when the explanation is not actually that simple.
link |
01:29:20.180
Like I've heard people think that the explanation is simple
link |
01:29:23.940
and they do the explanation.
link |
01:29:25.060
And I think it is simple,
link |
01:29:27.600
but it's not capturing the phenomena that we're discussing.
link |
01:29:30.580
It's capturing, it's somehow maps in their mind,
link |
01:29:33.060
but it's taking as a starting point,
link |
01:29:35.980
as an assumption that there's a deep knowledge
link |
01:29:38.180
and a deep understanding that's actually very complicated.
link |
01:29:41.780
And the simplicity is almost like a poem
link |
01:29:45.220
about the more complicated thing
link |
01:29:46.820
as opposed to a distillation.
link |
01:29:48.700
And I love poems, but a poem is not an explanation.
link |
01:29:51.860
Well, some people might disagree with that,
link |
01:29:55.540
but certainly from a mathematical perspective.
link |
01:29:57.460
No poet would disagree with it.
link |
01:29:59.580
No poet would disagree.
link |
01:30:01.220
You don't think there's some things
link |
01:30:02.760
that can only be described imprecisely?
link |
01:30:06.520
As an explanation.
link |
01:30:07.500
I don't think any poet would say their poem
link |
01:30:09.700
is an explanation.
link |
01:30:10.540
They might say it's a description.
link |
01:30:11.820
They might say it's sort of capturing sort of.
link |
01:30:14.440
Well, some people might say the only truth is like music.
link |
01:30:20.060
Not the only truth,
link |
01:30:20.940
but some truths can only be expressed through art.
link |
01:30:24.820
And I mean, that's the whole thing
link |
01:30:26.380
we're talking about religion and myth.
link |
01:30:27.700
And there's some things
link |
01:30:28.880
that are limited cognitive capabilities
link |
01:30:32.340
and the tools of mathematics or the tools of physics
link |
01:30:35.180
are just not going to allow us to capture.
link |
01:30:37.340
Like it's possible consciousness is one of those things.
link |
01:30:39.900
And.
link |
01:30:42.740
Yes, that is definitely possible.
link |
01:30:44.600
But I would even say,
link |
01:30:46.100
look, I mean, consciousness is a thing about
link |
01:30:47.500
which we're still in the dark
link |
01:30:48.440
as to whether there's an explanation
link |
01:30:50.420
we would understand it as an explanation at all.
link |
01:30:53.620
By the way, okay.
link |
01:30:54.440
I got to give yet one more amazing Poincare quote
link |
01:30:56.340
because this guy just never stopped coming up
link |
01:30:57.700
with great quotes that,
link |
01:31:00.660
Paul Erdős, another fellow who appears in the book.
link |
01:31:02.820
And by the way,
link |
01:31:03.660
he thinks about this notion of distance
link |
01:31:05.520
of like personal affinity,
link |
01:31:07.540
kind of like what you're talking about,
link |
01:31:08.540
the kind of social network and that notion of distance
link |
01:31:11.260
that comes from that.
link |
01:31:12.100
So that's something that Paul Erdős.
link |
01:31:13.300
Erdős did?
link |
01:31:14.340
Well, he thought about distances and networks.
link |
01:31:16.020
I guess he didn't probably,
link |
01:31:16.840
he didn't think about the social network.
link |
01:31:17.680
Oh, that's fascinating.
link |
01:31:18.520
And that's how it started that story of Erdős number.
link |
01:31:20.100
Yeah, okay.
link |
01:31:20.940
It's hard to distract.
link |
01:31:22.700
But you know, Erdős was sort of famous for saying,
link |
01:31:25.100
and this is sort of long lines we're saying,
link |
01:31:26.860
he talked about the book,
link |
01:31:28.420
capital T, capital B, the book.
link |
01:31:31.340
And that's the book where God keeps the right proof
link |
01:31:33.460
of every theorem.
link |
01:31:34.740
So when he saw a proof he really liked,
link |
01:31:36.380
it was like really elegant, really simple.
link |
01:31:38.020
Like that's from the book.
link |
01:31:39.100
That's like you found one of the ones that's in the book.
link |
01:31:43.180
He wasn't a religious guy, by the way.
link |
01:31:44.680
He referred to God as the supreme fascist.
link |
01:31:46.900
He was like, but somehow he was like,
link |
01:31:48.800
I don't really believe in God,
link |
01:31:49.720
but I believe in God's book.
link |
01:31:50.740
I mean, it was,
link |
01:31:53.300
but Poincare on the other hand,
link |
01:31:55.980
and by the way, there were other managers.
link |
01:31:57.020
Hilda Hudson is one who comes up in this book.
link |
01:31:58.700
She also kind of saw math.
link |
01:32:01.800
She's one of the people who sort of develops
link |
01:32:05.300
the disease model that we now use,
link |
01:32:06.880
that we use to sort of track pandemics,
link |
01:32:08.380
this SIR model that sort of originally comes
link |
01:32:10.380
from her work with Ronald Ross.
link |
01:32:11.940
But she was also super, super, super devout.
link |
01:32:14.500
And she also sort of on the other side
link |
01:32:17.380
of the religious coin was like,
link |
01:32:18.320
yeah, math is how we communicate with God.
link |
01:32:20.460
She has a great,
link |
01:32:21.300
all these people are incredibly quotable.
link |
01:32:22.560
She says, you know, math is,
link |
01:32:24.680
the truth, the things about mathematics,
link |
01:32:26.620
she's like, they're not the most important of God thoughts,
link |
01:32:29.460
but they're the only ones that we can know precisely.
link |
01:32:32.620
So she's like, this is the one place
link |
01:32:34.020
where we get to sort of see what God's thinking
link |
01:32:35.460
when we do mathematics.
link |
01:32:37.380
Again, not a fan of poetry or music.
link |
01:32:39.160
Some people will say Hendrix is like,
link |
01:32:41.020
some people say chapter one of that book is mathematics,
link |
01:32:44.340
and then chapter two is like classic rock.
link |
01:32:46.860
Right?
link |
01:32:48.580
So like, it's not clear that the...
link |
01:32:51.380
I'm sorry, you just sent me off on a tangent,
link |
01:32:52.740
just imagining like Erdos at a Hendrix concert,
link |
01:32:54.940
like trying to figure out if it was from the book or not.
link |
01:32:59.740
What I was coming to was just to say,
link |
01:33:00.980
but what Poincaré said about this is he's like,
link |
01:33:03.100
you know, if like, this is all worked out
link |
01:33:07.400
in the language of the divine,
link |
01:33:08.460
and if a divine being like came down and told it to us,
link |
01:33:12.460
we wouldn't be able to understand it, so it doesn't matter.
link |
01:33:15.020
So Poincaré was of the view that there were things
link |
01:33:17.400
that were sort of like inhumanly complex,
link |
01:33:19.340
and that was how they really were.
link |
01:33:21.060
Our job is to figure out the things that are not like that.
link |
01:33:23.780
That are not like that.
link |
01:33:25.600
All this talk of primes got me hungry for primes.
link |
01:33:29.380
You wrote a blog post, The Beauty of Bounding Gaps,
link |
01:33:32.580
a huge discovery about prime numbers
link |
01:33:35.260
and what it means for the future of math.
link |
01:33:39.140
Can you tell me about prime numbers?
link |
01:33:40.820
What the heck are those?
link |
01:33:41.860
What are twin primes?
link |
01:33:42.820
What are prime gaps?
link |
01:33:43.740
What are bounding gaps and primes?
link |
01:33:46.760
What are all these things?
link |
01:33:47.820
And what, if anything,
link |
01:33:49.820
or what exactly is beautiful about them?
link |
01:33:52.100
Yeah, so, you know, prime numbers are one of the things
link |
01:33:57.100
that number theorists study the most and have for millennia.
link |
01:34:02.820
They are numbers which can't be factored.
link |
01:34:06.220
And then you say, like, five.
link |
01:34:08.140
And then you're like, wait, I can factor five.
link |
01:34:09.780
Five is five times one.
link |
01:34:11.820
Okay, not like that.
link |
01:34:13.500
That is a factorization.
link |
01:34:14.540
It absolutely is a way of expressing five
link |
01:34:16.700
as a product of two things.
link |
01:34:18.380
But don't you agree there's like something trivial about it?
link |
01:34:20.900
It's something you could do to any number.
link |
01:34:22.300
It doesn't have content the way that if I say
link |
01:34:24.340
that 12 is six times two or 35 is seven times five,
link |
01:34:27.640
I've really done something to it.
link |
01:34:28.960
I've broken up.
link |
01:34:29.800
So those are the kind of factorizations that count.
link |
01:34:31.700
And a number that doesn't have a factorization like that
link |
01:34:34.460
is called prime, except, historical side note,
link |
01:34:38.100
one, which at some times in mathematical history
link |
01:34:42.440
has been deemed to be a prime, but currently is not.
link |
01:34:46.040
And I think that's for the best.
link |
01:34:47.140
But I bring it up only because sometimes people think that,
link |
01:34:49.580
you know, these definitions are kind of,
link |
01:34:52.220
if we think about them hard enough,
link |
01:34:53.500
we can figure out which definition is true.
link |
01:34:56.780
No.
link |
01:34:57.620
There's just an artifact of mathematics.
link |
01:34:58.820
So it's a question of which definition is best for us,
link |
01:35:03.460
for our purposes.
link |
01:35:04.300
Well, those edge cases are weird, right?
link |
01:35:06.020
So it can't be, it doesn't count when you use yourself
link |
01:35:11.700
as a number or one as part of the factorization
link |
01:35:15.000
or as the entirety of the factorization.
link |
01:35:19.320
So you somehow get to the meat of the number
link |
01:35:22.920
by factorizing it.
link |
01:35:24.180
And that seems to get to the core of all of mathematics.
link |
01:35:27.420
Yeah, you take any number and you factorize it
link |
01:35:29.940
until you can factorize no more.
link |
01:35:31.440
And what you have left is some big pile of primes.
link |
01:35:33.900
I mean, by definition, when you can't factor anymore,
link |
01:35:36.380
when you're done, when you can't break the numbers up
link |
01:35:39.020
anymore, what's left must be prime.
link |
01:35:40.900
You know, 12 breaks into two and two and three.
link |
01:35:45.580
So these numbers are the atoms, the building blocks
link |
01:35:48.220
of all numbers.
link |
01:35:50.760
And there's a lot we know about them,
link |
01:35:52.180
or there's much more that we don't know about them.
link |
01:35:53.420
I'll tell you the first few.
link |
01:35:54.340
There's two, three, five, seven, 11.
link |
01:35:59.140
By the way, they're all gonna be odd from then on
link |
01:36:00.780
because if they were even, I could factor out
link |
01:36:02.020
two out of them.
link |
01:36:03.060
But it's not all the odd numbers.
link |
01:36:04.300
Nine isn't prime because it's three times three.
link |
01:36:06.440
15 isn't prime because it's three times five,
link |
01:36:08.180
but 13 is.
link |
01:36:09.000
Where were we?
link |
01:36:09.840
Two, three, five, seven, 11, 13, 17, 19.
link |
01:36:13.820
Not 21, but 23 is, et cetera, et cetera.
link |
01:36:15.940
Okay, so you could go on.
link |
01:36:17.060
How high could you go if we were just sitting here?
link |
01:36:19.580
By the way, your own brain.
link |
01:36:20.980
If continuous, without interruption,
link |
01:36:23.980
would you be able to go over 100?
link |
01:36:25.980
I think so.
link |
01:36:27.140
There's always those ones that trip people up.
link |
01:36:29.100
There's a famous one, the Grotendeek prime 57,
link |
01:36:31.780
like sort of Alexander Grotendeek,
link |
01:36:33.380
the great algebraic geometer was sort of giving
link |
01:36:35.740
some lecture involving a choice of a prime in general.
link |
01:36:38.740
And somebody said, can't you just choose a prime?
link |
01:36:41.500
And he said, okay, 57, which is in fact not prime.
link |
01:36:43.540
It's three times 19.
link |
01:36:45.800
Oh, damn.
link |
01:36:46.640
But it was like, I promise you in some circles
link |
01:36:49.300
it's a funny story.
link |
01:36:50.140
But there's a humor in it.
link |
01:36:55.740
Yes, I would say over 100, I definitely don't remember.
link |
01:36:59.220
Like 107, I think, I'm not sure.
link |
01:37:02.100
Okay, like, I mean.
link |
01:37:03.460
So is there a category of like fake primes
link |
01:37:08.900
that are easily mistaken to be prime?
link |
01:37:12.900
Like 57, I wonder.
link |
01:37:14.660
Yeah, so I would say 57 and 51 are definitely
link |
01:37:20.740
like prime offenders.
link |
01:37:21.900
Oh, I didn't do that on purpose.
link |
01:37:23.060
Oh, well done.
link |
01:37:24.300
Didn't do it on purpose.
link |
01:37:25.340
Anyway, they're definitely ones that people,
link |
01:37:28.180
or 91 is another classic, seven times 13.
link |
01:37:30.700
It really feels kind of prime, doesn't it?
link |
01:37:32.900
But it is not.
link |
01:37:34.020
Yeah.
link |
01:37:35.820
But there's also, by the way,
link |
01:37:36.900
but there's also an actual notion of pseudo prime,
link |
01:37:39.600
which is a thing with a formal definition,
link |
01:37:41.460
which is not a psychological thing.
link |
01:37:43.380
It is a prime which passes a primality test
link |
01:37:47.540
devised by Fermat, which is a very good test,
link |
01:37:50.380
which if a number fails this test,
link |
01:37:52.540
it's definitely not prime.
link |
01:37:54.580
And so there was some hope that,
link |
01:37:55.600
oh, maybe if a number passes the test,
link |
01:37:57.280
then it definitely is prime.
link |
01:37:58.420
That would give a very simple criterion for primality.
link |
01:38:00.660
Unfortunately, it's only perfect in one direction.
link |
01:38:03.980
So there are numbers, I want to say 341 is the smallest,
link |
01:38:09.800
which pass the test but are not prime, 341.
link |
01:38:12.380
Is this test easily explainable or no?
link |
01:38:14.780
Yes, actually.
link |
01:38:16.820
Ready, let me give you the simplest version of it.
link |
01:38:18.300
You can dress it up a little bit, but here's the basic idea.
link |
01:38:22.660
I take the number, the mystery number,
link |
01:38:25.180
I raise two to that power.
link |
01:38:29.540
So let's say your mystery number is six.
link |
01:38:32.780
Are you sorry you asked me?
link |
01:38:33.900
Are you ready?
link |
01:38:34.740
No, you're breaking my brain again, but yes.
link |
01:38:37.140
Let's do it.
link |
01:38:38.220
We're going to do a live demonstration.
link |
01:38:40.220
Let's say your number is six.
link |
01:38:43.340
So I'm going to raise two to the sixth power.
link |
01:38:45.980
Okay, so if I were working on it,
link |
01:38:46.820
I'd be like that's two cubes squared,
link |
01:38:48.660
so that's eight times eight, so that's 64.
link |
01:38:51.680
Now we're going to divide by six,
link |
01:38:53.520
but I don't actually care what the quotient is,
link |
01:38:54.980
only the remainder.
link |
01:38:57.300
So let's see, 64 divided by six is,
link |
01:39:01.420
well, there's a quotient of 10, but the remainder is four.
link |
01:39:05.460
So you failed because the answer has to be two.
link |
01:39:08.640
For any prime, let's do it with five, which is prime.
link |
01:39:13.260
Two to the fifth is 32.
link |
01:39:15.580
Divide 32 by five, and you get six with a remainder of two.
link |
01:39:23.100
With a remainder of two, yeah.
link |
01:39:24.220
For seven, two to the seventh is 128.
link |
01:39:26.700
Divide that by seven, and let's see,
link |
01:39:29.480
I think that's seven times 14, is that right?
link |
01:39:32.340
No.
link |
01:39:33.160
Seven times 18 is 126 with a remainder of two, right?
link |
01:39:40.760
128 is a multiple of seven plus two.
link |
01:39:43.360
So if that remainder is not two,
link |
01:39:46.520
then it's definitely not prime.
link |
01:39:49.480
And then if it is, it's likely a prime, but not for sure.
link |
01:39:53.320
It's likely a prime, but not for sure.
link |
01:39:54.660
And there's actually a beautiful geometric proof
link |
01:39:56.280
which is in the book, actually.
link |
01:39:57.240
That's like one of the most granular parts of the book
link |
01:39:58.720
because it's such a beautiful proof, I couldn't not give it.
link |
01:40:00.440
So you draw a lot of like opal and pearl necklaces
link |
01:40:05.400
and spin them.
link |
01:40:06.240
That's kind of the geometric nature
link |
01:40:07.440
of this proof of Fermat's Little Theorem.
link |
01:40:11.920
So yeah, so with pseudo primes,
link |
01:40:13.680
there are primes that are kind of faking it.
link |
01:40:14.760
They pass that test, but there are numbers
link |
01:40:16.560
that are faking it that pass that test,
link |
01:40:17.960
but are not actually prime.
link |
01:40:20.680
But the point is, there are many, many,
link |
01:40:26.000
many theorems about prime numbers.
link |
01:40:28.900
There's a bunch of questions to ask.
link |
01:40:32.100
Is there an infinite number of primes?
link |
01:40:34.660
Can we say something about the gap between primes
link |
01:40:37.460
as the numbers grow larger and larger and larger and so on?
link |
01:40:40.940
Yeah, it's a perfect example of your desire
link |
01:40:43.200
for simplicity in all things.
link |
01:40:44.620
You know what would be really simple?
link |
01:40:46.300
If there was only finitely many primes
link |
01:40:48.780
and then there would be this finite set of atoms
link |
01:40:51.540
that all numbers would be built up.
link |
01:40:53.860
That would be very simple and good in certain ways,
link |
01:40:56.860
but it's completely false.
link |
01:40:58.860
And number theory would be totally different
link |
01:41:00.220
if that were the case.
link |
01:41:01.040
It's just not true.
link |
01:41:03.180
In fact, this is something else that Euclid knew.
link |
01:41:04.700
So this is a very, very old fact,
link |
01:41:07.540
like much before, long before we've had anything
link |
01:41:10.340
like modern number theory.
link |
01:41:11.180
The primes are infinite.
link |
01:41:12.140
The primes that there are, right.
link |
01:41:14.020
There's an infinite number of primes.
link |
01:41:15.460
So what about the gaps between the primes?
link |
01:41:17.740
Right, so one thing that people recognized
link |
01:41:20.460
and really thought about a lot is that the primes,
link |
01:41:22.220
on average, seem to get farther and farther apart
link |
01:41:25.840
as they get bigger and bigger.
link |
01:41:27.020
In other words, it's less and less common.
link |
01:41:29.140
Like I already told you of the first 10 numbers,
link |
01:41:31.140
two, three, five, seven, four of them are prime.
link |
01:41:32.940
That's a lot, 40%.
link |
01:41:34.700
If I looked at 10 digit numbers,
link |
01:41:38.540
no way would 40% of those be prime.
link |
01:41:40.620
Being prime would be a lot rarer.
link |
01:41:42.020
In some sense, because there's a lot more things
link |
01:41:43.940
for them to be divisible by.
link |
01:41:45.860
That's one way of thinking of it.
link |
01:41:47.140
It's a lot more possible for there to be a factorization
link |
01:41:49.420
because there's a lot of things
link |
01:41:50.380
you can try to factor out of it.
link |
01:41:52.140
As the numbers get bigger and bigger,
link |
01:41:53.420
primality gets rarer and rarer, and the extent
link |
01:41:58.820
to which that's the case, that's pretty well understood.
link |
01:42:01.700
But then you can ask more fine grained questions,
link |
01:42:03.840
and here is one.
link |
01:42:07.900
A twin prime is a pair of primes that are two apart,
link |
01:42:11.740
like three and five, or like 11 and 13, or like 17 and 19.
link |
01:42:17.260
And one thing we still don't know
link |
01:42:18.900
is are there infinitely many of those?
link |
01:42:21.960
We know on average, they get farther and farther apart,
link |
01:42:24.100
but that doesn't mean there couldn't be occasional folks
link |
01:42:28.140
that come close together.
link |
01:42:30.180
And indeed, we think that there are.
link |
01:42:33.820
And one interesting question, I mean, this is,
link |
01:42:37.300
because I think you might say,
link |
01:42:38.140
well, how could one possibly have a right
link |
01:42:41.060
to have an opinion about something like that?
link |
01:42:44.020
We don't have any way of describing a process
link |
01:42:46.380
that makes primes.
link |
01:42:49.540
Sure, you can look at your computer
link |
01:42:51.480
and see a lot of them, but the fact that there's a lot,
link |
01:42:53.860
why is that evidence that there's infinitely many, right?
link |
01:42:55.940
Maybe I can go on the computer and find 10 million.
link |
01:42:57.660
Well, 10 million is pretty far from infinity, right?
link |
01:42:59.940
So how is that evidence?
link |
01:43:01.620
There's a lot of things.
link |
01:43:02.520
There's like a lot more than 10 million atoms.
link |
01:43:04.180
That doesn't mean there's infinitely many atoms
link |
01:43:05.500
in the universe, right?
link |
01:43:06.340
I mean, on most people's physical theories,
link |
01:43:07.740
there's probably not, as I understand it.
link |
01:43:10.180
Okay, so why would we think this?
link |
01:43:13.240
The answer is that it turns out to be like incredibly
link |
01:43:17.460
productive and enlightening to think about primes
link |
01:43:21.840
as if they were random numbers,
link |
01:43:23.260
as if they were randomly distributed
link |
01:43:24.900
according to a certain law.
link |
01:43:26.060
Now they're not, they're not random.
link |
01:43:27.740
There's no chance involved.
link |
01:43:28.740
There it's completely deterministic
link |
01:43:30.140
whether a number is prime or not.
link |
01:43:31.620
And yet it just turns out to be phenomenally useful
link |
01:43:35.420
in mathematics to say,
link |
01:43:38.100
even if something is governed by a deterministic law,
link |
01:43:41.740
let's just pretend it wasn't.
link |
01:43:43.100
Let's just pretend that they were produced
link |
01:43:44.460
by some random process and see if the behavior
link |
01:43:46.560
is roughly the same.
link |
01:43:47.940
And if it's not, maybe change the random process,
link |
01:43:49.620
maybe make the randomness a little bit different
link |
01:43:51.100
and tweak it and see if you can find a random process
link |
01:43:53.820
that matches the behavior we see.
link |
01:43:55.380
And then maybe you predict that other behaviors
link |
01:44:00.140
of the system are like that of the random process.
link |
01:44:02.900
And so that's kind of like, it's funny
link |
01:44:04.060
because I think when you talk to people
link |
01:44:05.260
at the twin prime conjecture,
link |
01:44:07.420
people think you're saying,
link |
01:44:09.940
wow, there's like some deep structure there
link |
01:44:12.420
that like makes those primes be like close together
link |
01:44:15.180
again and again.
link |
01:44:16.020
And no, it's the opposite of deep structure.
link |
01:44:18.300
What we say when we say we believe the twin prime conjecture
link |
01:44:20.860
is that we believe the primes are like sort of
link |
01:44:22.860
strewn around pretty randomly.
link |
01:44:24.580
And if they were, then by chance,
link |
01:44:26.100
you would expect there to be infinitely many twin primes.
link |
01:44:28.180
And we're saying, yeah, we expect them to behave
link |
01:44:29.660
just like they would if they were random dirt.
link |
01:44:33.140
The fascinating parallel here is,
link |
01:44:36.180
I just got a chance to talk to Sam Harris
link |
01:44:38.420
and he uses the prime numbers as an example.
link |
01:44:41.300
Often, I don't know if you're familiar with who Sam is.
link |
01:44:44.940
He uses that as an example of there being no free will.
link |
01:44:50.380
Wait, where does he get this?
link |
01:44:52.380
Well, he just uses as an example of,
link |
01:44:54.820
it might seem like this is a random number generator,
link |
01:44:58.460
but it's all like formally defined.
link |
01:45:01.780
So if we keep getting more and more primes,
link |
01:45:05.120
then like that might feel like a new discovery
link |
01:45:09.180
and that might feel like a new experience, but it's not.
link |
01:45:12.160
It was always written in the cards.
link |
01:45:14.340
But it's funny that you say that
link |
01:45:15.700
because a lot of people think of like randomness,
link |
01:45:19.580
the fundamental randomness within the nature of reality
link |
01:45:23.420
might be the source of something
link |
01:45:25.900
that we experience as free will.
link |
01:45:27.780
And you're saying it's like useful to look at prime numbers
link |
01:45:30.180
as a random process in order to prove stuff about them.
link |
01:45:35.620
But fundamentally, of course, it's not a random process.
link |
01:45:38.820
Well, not in order to prove some stuff about them
link |
01:45:40.900
so much as to figure out what we expect to be true
link |
01:45:43.740
and then try to prove that.
link |
01:45:44.940
Because here's what you don't want to do.
link |
01:45:45.900
Try really hard to prove something that's false.
link |
01:45:48.340
That makes it really hard to prove the thing if it's false.
link |
01:45:51.100
So you certainly want to have some heuristic ways
link |
01:45:53.020
of guessing, making good guesses about what's true.
link |
01:45:55.120
So yeah, here's what I would say.
link |
01:45:56.660
You're going to be imaginary Sam Harris now.
link |
01:45:58.740
Like you are talking about prime numbers
link |
01:46:00.980
and you are like,
link |
01:46:01.860
but prime numbers are completely deterministic.
link |
01:46:04.000
And I'm saying like,
link |
01:46:04.840
well, but let's treat them like a random process.
link |
01:46:06.940
And then you say,
link |
01:46:08.240
but you're just saying something that's not true.
link |
01:46:09.580
They're not a random process, they're deterministic.
link |
01:46:10.900
And I'm like, okay, great.
link |
01:46:11.860
You hold to your insistence that it's not a random process.
link |
01:46:13.940
Meanwhile, I'm generating insight about the primes
link |
01:46:15.860
that you're not because I'm willing to sort of pretend
link |
01:46:17.740
that there's something that they're not
link |
01:46:18.660
in order to understand what's going on.
link |
01:46:20.440
Yeah, so it doesn't matter what the reality is.
link |
01:46:22.920
What matters is what framework of thought
link |
01:46:28.220
results in the maximum number of insights.
link |
01:46:30.780
Yeah, because I feel, look, I'm sorry,
link |
01:46:32.380
but I feel like you have more insights about people.
link |
01:46:34.180
If you think of them as like beings that have wants
link |
01:46:37.980
and needs and desires and do stuff on purpose,
link |
01:46:40.860
even if that's not true,
link |
01:46:41.820
you still understand better what's going on
link |
01:46:43.500
by treating them in that way.
link |
01:46:44.620
Don't you find, look, when you work on machine learning,
link |
01:46:46.480
don't you find yourself sort of talking
link |
01:46:48.020
about what the machine is trying to do
link |
01:46:51.500
in a certain instance?
link |
01:46:52.780
Do you not find yourself drawn to that language?
link |
01:46:54.940
Well, it knows this, it's trying to do that,
link |
01:46:57.700
it's learning that.
link |
01:46:58.980
I'm certainly drawn to that language
link |
01:47:00.980
to the point where I receive quite a bit of criticisms
link |
01:47:03.380
for it because I, you know, like.
link |
01:47:05.420
Oh, I'm on your side, man.
link |
01:47:07.020
So especially in robotics, I don't know why,
link |
01:47:09.740
but robotics people don't like to name their robots.
link |
01:47:14.260
They certainly don't like to gender their robots
link |
01:47:17.020
because the moment you gender a robot,
link |
01:47:18.780
you start to anthropomorphize.
link |
01:47:20.580
If you say he or she, you start to,
link |
01:47:22.940
in your mind, construct like a life story.
link |
01:47:27.340
In your mind, you can't help it.
link |
01:47:29.020
There's like, you create like a humorous story
link |
01:47:31.520
to this person.
link |
01:47:32.360
You start to, this person, this robot,
link |
01:47:35.580
you start to project your own.
link |
01:47:37.300
But I think that's what we do to each other.
link |
01:47:38.780
And I think that's actually really useful
link |
01:47:40.500
for the engineering process,
link |
01:47:42.620
especially for human robot interaction.
link |
01:47:44.580
And yes, for machine learning systems,
link |
01:47:46.620
for helping you build an intuition
link |
01:47:48.020
about a particular problem.
link |
01:47:49.900
It's almost like asking this question,
link |
01:47:53.060
you know, when a machine learning system fails
link |
01:47:55.940
in a particular edge case, asking like,
link |
01:47:57.960
what were you thinking about?
link |
01:47:59.820
Like, like asking, like almost like
link |
01:48:02.020
when you're talking about to a child
link |
01:48:04.540
who just did something bad, you want to understand
link |
01:48:08.580
like what was, how did they see the world?
link |
01:48:12.060
Maybe there's a totally new, maybe you're the one
link |
01:48:13.980
that's thinking about the world incorrectly.
link |
01:48:16.820
And yeah, that anthropomorphization process,
link |
01:48:19.900
I think is ultimately good for insight.
link |
01:48:21.380
And the same is, I agree with you.
link |
01:48:23.620
I tend to believe about free will as well.
link |
01:48:26.660
Let me ask you a ridiculous question, if it's okay.
link |
01:48:28.900
Of course.
link |
01:48:30.260
I've just recently, most people go on like rabbit hole,
link |
01:48:34.420
like YouTube things.
link |
01:48:35.660
And I went on a rabbit hole often do of Wikipedia.
link |
01:48:39.820
And I found a page on
link |
01:48:43.860
finiteism, ultra finiteism and intuitionism
link |
01:48:49.100
or into, I forget what it's called.
link |
01:48:51.180
Yeah, intuitionism.
link |
01:48:52.140
Intuitionism.
link |
01:48:53.740
That seemed pretty, pretty interesting.
link |
01:48:55.580
I have it on my to do list actually like look into
link |
01:48:58.420
like, is there people who like formally attract,
link |
01:49:00.820
like real mathematicians are trying to argue for this.
link |
01:49:03.600
But the belief there, I think, let's say finiteism
link |
01:49:07.500
that infinity is fake.
link |
01:49:11.860
Meaning, infinity might be like a useful hack
link |
01:49:16.740
for certain, like a useful tool in mathematics,
link |
01:49:18.860
but it really gets us into trouble
link |
01:49:22.460
because there's no infinity in the real world.
link |
01:49:26.660
Maybe I'm sort of not expressing that fully correctly,
link |
01:49:30.980
but basically saying like there's things
link |
01:49:32.780
that once you add into mathematics,
link |
01:49:37.020
things that are not provably within the physical world,
link |
01:49:41.020
you're starting to inject to corrupt your framework
link |
01:49:45.800
of reason.
link |
01:49:47.620
What do you think about that?
link |
01:49:49.180
I mean, I think, okay, so first of all, I'm not an expert
link |
01:49:51.660
and I couldn't even tell you what the difference is
link |
01:49:54.780
between those three terms, finiteism, ultra finiteism
link |
01:49:58.340
and intuitionism, although I know they're related
link |
01:49:59.940
and I tend to associate them with the Netherlands
link |
01:50:01.620
in the 1930s.
link |
01:50:02.620
Okay, I'll tell you, can I just quickly comment
link |
01:50:04.860
because I read the Wikipedia page.
link |
01:50:06.860
The difference in ultra.
link |
01:50:07.700
That's like the ultimate sentence of the modern age.
link |
01:50:10.480
Can I just comment because I read the Wikipedia page.
link |
01:50:12.620
That sums up our moment.
link |
01:50:14.660
Bro, I'm basically an expert.
link |
01:50:17.540
Ultra finiteism.
link |
01:50:19.700
So, finiteism says that the only infinity
link |
01:50:22.860
you're allowed to have is that the natural numbers
link |
01:50:25.220
are infinite.
link |
01:50:27.020
So, like those numbers are infinite.
link |
01:50:29.240
So, like one, two, three, four, five,
link |
01:50:32.200
the integers are infinite.
link |
01:50:35.460
The ultra finiteism says, nope, even that infinity is fake.
link |
01:50:41.480
I'll bet ultra finiteism came second.
link |
01:50:43.120
I'll bet it's like when there's like a hardcore scene
link |
01:50:44.740
and then one guy's like, oh, now there's a lot of people
link |
01:50:47.180
in the scene.
link |
01:50:48.020
I have to find a way to be more hardcore
link |
01:50:49.180
than the hardcore people.
link |
01:50:50.180
It's all back to the emo, Doc.
link |
01:50:52.460
Okay, so is there any, are you ever,
link |
01:50:54.780
because I'm often uncomfortable with infinity,
link |
01:50:58.020
like psychologically.
link |
01:50:59.700
I have trouble when that sneaks in there.
link |
01:51:04.620
It's because it works so damn well,
link |
01:51:06.660
I get a little suspicious,
link |
01:51:09.340
because it could be almost like a crutch
link |
01:51:12.580
or an oversimplification that's missing something profound
link |
01:51:15.540
about reality.
link |
01:51:17.500
Well, so first of all, okay, if you say like,
link |
01:51:20.720
is there like a serious way of doing mathematics
link |
01:51:24.900
that doesn't really treat infinity as a real thing
link |
01:51:29.300
or maybe it's kind of agnostic
link |
01:51:30.600
and it's like, I'm not really gonna make a firm statement
link |
01:51:32.660
about whether it's a real thing or not.
link |
01:51:33.980
Yeah, that's called most of the history of mathematics.
link |
01:51:36.620
So it's only after Cantor that we really are sort of,
link |
01:51:41.520
okay, we're gonna like have a notion
link |
01:51:43.920
of like the cardinality of an infinite set
link |
01:51:45.660
and like do something that you might call
link |
01:51:49.100
like the modern theory of infinity.
link |
01:51:51.340
That said, obviously everybody was drawn to this notion
link |
01:51:54.100
and no, not everybody was comfortable with it.
link |
01:51:55.800
Look, I mean, this is what happens with Newton.
link |
01:51:57.700
I mean, so Newton understands that to talk about tangents
link |
01:52:01.380
and to talk about instantaneous velocity,
link |
01:52:04.580
he has to do something that we would now call
link |
01:52:06.620
taking a limit, right?
link |
01:52:08.700
The fabled dy over dx, if you sort of go back
link |
01:52:11.260
to your calculus class, for those who have taken calculus
link |
01:52:13.100
and remember this mysterious thing.
link |
01:52:14.860
And you know, what is it?
link |
01:52:17.360
What is it?
link |
01:52:18.200
Well, he'd say like, well, it's like,
link |
01:52:19.740
you sort of divide the length of this line segment
link |
01:52:24.060
by the length of this other line segment.
link |
01:52:25.300
And then you make them a little shorter
link |
01:52:26.340
and you divide again.
link |
01:52:27.180
And then you make them a little shorter
link |
01:52:28.100
and you divide again.
link |
01:52:28.940
And then you just keep on doing that
link |
01:52:29.780
until they're like infinitely short
link |
01:52:30.780
and then you divide them again.
link |
01:52:32.520
These quantities that are like, they're not zero,
link |
01:52:36.360
but they're also smaller than any actual number,
link |
01:52:42.020
these infinitesimals.
link |
01:52:43.420
Well, people were queasy about it
link |
01:52:46.380
and they weren't wrong to be queasy about it, right?
link |
01:52:48.180
From a modern perspective, it was not really well formed.
link |
01:52:50.100
There's this very famous critique of Newton
link |
01:52:52.300
by Bishop Berkeley, where he says like,
link |
01:52:54.500
what these things you define, like, you know,
link |
01:52:57.820
they're not zero, but they're smaller than any number.
link |
01:53:00.260
Are they the ghosts of departed quantities?
link |
01:53:02.420
That was this like ultra burn of Newton.
link |
01:53:06.860
And on the one hand, he was right.
link |
01:53:10.040
It wasn't really rigorous by modern standards.
link |
01:53:11.740
On the other hand, like Newton was out there doing calculus
link |
01:53:14.380
and other people were not, right?
link |
01:53:15.380
It works, it works.
link |
01:53:17.380
I think a sort of intuitionist view, for instance,
link |
01:53:20.660
I would say would express serious doubt.
link |
01:53:23.620
And by the way, it's not just infinity.
link |
01:53:25.940
It's like saying, I think we would express serious doubt
link |
01:53:28.100
that like the real numbers exist.
link |
01:53:31.320
Now, most people are comfortable with the real numbers.
link |
01:53:36.820
Well, computer scientists with floating point number,
link |
01:53:39.220
I mean, floating point arithmetic.
link |
01:53:42.740
That's a great point, actually.
link |
01:53:44.720
I think in some sense, this flavor of doing math,
link |
01:53:48.420
saying we shouldn't talk about things
link |
01:53:51.220
that we cannot specify in a finite amount of time,
link |
01:53:53.620
there's something very computational in flavor about that.
link |
01:53:55.980
And it's probably not a coincidence
link |
01:53:57.580
that it becomes popular in the 30s and 40s,
link |
01:54:01.740
which is also like kind of like the dawn of ideas
link |
01:54:04.980
about formal computation, right?
link |
01:54:06.180
You probably know the timeline better than I do.
link |
01:54:07.940
Sorry, what becomes popular?
link |
01:54:09.620
These ideas that maybe we should be doing math
link |
01:54:12.200
in this more restrictive way where even a thing that,
link |
01:54:16.140
because look, the origin of all this is like,
link |
01:54:18.540
number represents a magnitude, like the length of a line.
link |
01:54:22.580
So I mean, the idea that there's a continuum,
link |
01:54:26.060
there's sort of like, it's pretty old,
link |
01:54:30.580
but just because something is old
link |
01:54:31.900
doesn't mean we can't reject it if we want to.
link |
01:54:34.220
Well, a lot of the fundamental ideas in computer science,
link |
01:54:36.580
when you talk about the complexity of problems,
link |
01:54:41.380
to Turing himself, they rely on an infinity as well.
link |
01:54:45.060
The ideas that kind of challenge that,
link |
01:54:47.540
the whole space of machine learning,
link |
01:54:48.780
I would say, challenges that.
link |
01:54:51.000
It's almost like the engineering approach to things,
link |
01:54:53.020
like the floating point arithmetic.
link |
01:54:54.660
The other one that, back to John Conway,
link |
01:54:57.340
that challenges this idea,
link |
01:55:00.780
I mean, maybe to tie in the ideas of deformation theory
link |
01:55:06.540
and limits to infinity is this idea of cellular automata
link |
01:55:13.980
with John Conway looking at the game of life,
link |
01:55:17.340
Stephen Wolfram's work,
link |
01:55:19.340
that I've been a big fan of for a while, cellular automata.
link |
01:55:22.580
I was wondering if you have,
link |
01:55:23.780
if you have ever encountered these kinds of objects,
link |
01:55:26.900
you ever looked at them as a mathematician,
link |
01:55:29.320
where you have very simple rules of tiny little objects
link |
01:55:34.840
that when taken as a whole create incredible complexities,
link |
01:55:37.980
but are very difficult to analyze,
link |
01:55:39.820
very difficult to make sense of,
link |
01:55:41.980
even though the one individual object, one part,
link |
01:55:45.120
it's like what we were saying about Andrew Wiles,
link |
01:55:47.540
you can look at the deformation of a small piece
link |
01:55:49.780
to tell you about the whole.
link |
01:55:51.340
It feels like with cellular automata
link |
01:55:54.460
or any kind of complex systems,
link |
01:55:57.340
it's often very difficult to say something
link |
01:55:59.820
about the whole thing,
link |
01:56:01.620
even when you can precisely describe the operation
link |
01:56:05.100
of the local neighborhoods.
link |
01:56:09.380
Yeah, I mean, I love that subject.
link |
01:56:10.980
I haven't really done research on it myself.
link |
01:56:12.660
I've played around with it.
link |
01:56:13.540
I'll send you a fun blog post I wrote
link |
01:56:15.060
where I made some cool texture patterns
link |
01:56:17.340
from cellular automata that I, but.
link |
01:56:20.980
And those are really always compelling
link |
01:56:22.460
is like you create simple rules
link |
01:56:24.140
and they create some beautiful textures.
link |
01:56:25.820
It doesn't make any sense.
link |
01:56:26.660
Actually, did you see, there was a great paper.
link |
01:56:28.020
I don't know if you saw this,
link |
01:56:28.980
like a machine learning paper.
link |
01:56:30.640
Yes.
link |
01:56:31.480
I don't know if you saw the one I'm talking about
link |
01:56:32.300
where they were like learning the texture
link |
01:56:33.300
as like let's try to like reverse engineer
link |
01:56:35.660
and like learn a cellular automaton
link |
01:56:37.220
that can reduce texture that looks like this
link |
01:56:39.340
from the images.
link |
01:56:40.340
Very cool.
link |
01:56:41.300
And as you say, the thing you said is I feel the same way
link |
01:56:44.760
when I read machine learning paper
link |
01:56:45.980
is that what's especially interesting
link |
01:56:47.660
is the cases where it doesn't work.
link |
01:56:49.540
Like what does it do when it doesn't do the thing
link |
01:56:51.260
that you tried to train it to do?
link |
01:56:53.380
That's extremely interesting.
link |
01:56:54.480
Yeah, yeah, that was a cool paper.
link |
01:56:56.100
So yeah, so let's start with the game of life.
link |
01:56:58.340
Let's start with, or let's start with John Conway.
link |
01:57:02.300
So Conway.
link |
01:57:03.620
So yeah, so let's start with John Conway again.
link |
01:57:06.060
Just, I don't know, from my outsider's perspective,
link |
01:57:08.620
there's not many mathematicians that stand out
link |
01:57:11.500
throughout the history of the 20th century.
link |
01:57:13.800
And he's one of them.
link |
01:57:15.100
I feel like he's not sufficiently recognized.
link |
01:57:18.180
I think he's pretty recognized.
link |
01:57:20.120
Okay, well.
link |
01:57:21.120
I mean, he was a full professor at Princeton
link |
01:57:24.360
for most of his life.
link |
01:57:25.200
He was sort of certainly at the pinnacle of.
link |
01:57:27.100
Yeah, but I found myself every time I talk about Conway
link |
01:57:30.180
and how excited I am about him,
link |
01:57:33.140
I have to constantly explain to people who he is.
link |
01:57:36.660
And that's always a sad sign to me.
link |
01:57:39.540
But that's probably true for a lot of mathematicians.
link |
01:57:41.540
I was about to say,
link |
01:57:42.380
I feel like you have a very elevated idea of how famous.
link |
01:57:44.940
This is what happens when you grow up in the Soviet Union
link |
01:57:46.740
or you think the mathematicians are like very, very famous.
link |
01:57:49.860
Yeah, but I'm not actually so convinced at a tiny tangent
link |
01:57:53.100
that that shouldn't be so.
link |
01:57:54.660
I mean, there's, it's not obvious to me
link |
01:57:57.640
that that's one of the,
link |
01:57:59.160
like if I were to analyze American society,
link |
01:58:01.540
that perhaps elevating mathematical and scientific thinking
link |
01:58:05.060
to a little bit higher level would benefit the society.
link |
01:58:08.740
Well, both in discovering the beauty of what it is
link |
01:58:11.300
to be human and for actually creating cool technology,
link |
01:58:15.020
better iPhones.
link |
01:58:16.240
But anyway, John Conway.
link |
01:58:18.140
Yeah, and Conway is such a perfect example
link |
01:58:20.000
of somebody whose humanity was,
link |
01:58:22.060
and his personality was like wound up
link |
01:58:24.020
with his mathematics, right?
link |
01:58:25.020
And so it's not, sometimes I think people
link |
01:58:26.780
who are outside the field think of mathematics
link |
01:58:28.620
as this kind of like cold thing that you do
link |
01:58:31.220
separate from your existence as a human being.
link |
01:58:33.100
No way, your personality is in there,
link |
01:58:34.780
just as it would be in like a novel you wrote
link |
01:58:37.140
or a painting you painted
link |
01:58:38.220
or just like the way you walk down the street.
link |
01:58:40.100
Like it's in there, it's you doing it.
link |
01:58:41.780
And Conway was certainly a singular personality.
link |
01:58:46.240
I think anybody would say that he was playful,
link |
01:58:50.980
like everything was a game to him.
link |
01:58:54.240
Now, what you might think I'm gonna say,
link |
01:58:56.580
and it's true is that he sort of was very playful
link |
01:58:59.260
in his way of doing mathematics,
link |
01:59:01.780
but it's also true, it went both ways.
link |
01:59:03.700
He also sort of made mathematics out of games.
link |
01:59:06.220
He like looked at, he was a constant inventor of games
link |
01:59:08.880
or like crazy names.
link |
01:59:10.080
And then he would sort of analyze those games mathematically
link |
01:59:15.220
to the point that he,
link |
01:59:16.300
and then later collaborating with Knuth like,
link |
01:59:19.120
created this number system, the serial numbers
link |
01:59:22.420
in which actually each number is a game.
link |
01:59:25.200
There's a wonderful book about this called,
link |
01:59:26.640
I mean, there are his own books.
link |
01:59:27.620
And then there's like a book that he wrote
link |
01:59:28.780
with Berlekamp and Guy called Winning Ways,
link |
01:59:31.180
which is such a rich source of ideas.
link |
01:59:35.260
And he too kind of has his own crazy number system
link |
01:59:41.720
in which by the way, there are these infinitesimals,
link |
01:59:44.240
the ghosts of departed quantities.
link |
01:59:45.640
They're in there now, not as ghosts,
link |
01:59:47.900
but as like certain kind of two player games.
link |
01:59:53.620
So, he was a guy, so I knew him when I was a postdoc
link |
02:00:00.280
and I knew him at Princeton
link |
02:00:01.280
and our research overlapped in some ways.
link |
02:00:03.620
Now it was on stuff that he had worked on many years before.
link |
02:00:05.880
The stuff I was working on kind of connected
link |
02:00:07.400
with stuff in group theory,
link |
02:00:08.280
which somehow seems to keep coming up.
link |
02:00:13.880
And so I often would like sort of ask him a question.
link |
02:00:16.040
I would sort of come upon him in the common room
link |
02:00:17.680
and I would ask him a question about something.
link |
02:00:19.080
And just anytime you turned him on, you know what I mean?
link |
02:00:23.780
You sort of asked the question,
link |
02:00:25.240
it was just like turning a knob and winding him up
link |
02:00:28.280
and he would just go and you would get a response
link |
02:00:31.040
that was like so rich and went so many places
link |
02:00:35.240
and taught you so much.
link |
02:00:37.360
And usually had nothing to do with your question.
link |
02:00:40.160
Usually your question was just a prompt to him.
link |
02:00:43.080
You couldn't count on actually getting the question answered.
link |
02:00:44.760
Yeah, those brilliant, curious minds even at that age.
link |
02:00:47.400
Yeah, it was definitely a huge loss.
link |
02:00:51.920
But on his game of life,
link |
02:00:54.680
which was I think he developed in the 70s
link |
02:00:56.960
as almost like a side thing, a fun little experiment.
link |
02:00:59.720
His game of life is this, it's a very simple algorithm.
link |
02:01:05.200
It's not really a game per se
link |
02:01:07.800
in the sense of the kinds of games that he liked
link |
02:01:09.520
where people played against each other.
link |
02:01:12.780
But essentially it's a game that you play
link |
02:01:16.560
with marking little squares on the sheet of graph paper.
link |
02:01:20.400
And in the 70s, I think he was like literally doing it
link |
02:01:22.360
with like a pen on graph paper.
link |
02:01:24.240
You have some configuration of squares.
link |
02:01:26.040
Some of the squares in the graph paper are filled in,
link |
02:01:28.280
some are not.
link |
02:01:29.120
And there's a rule, a single rule that tells you
link |
02:01:33.360
at the next stage, which squares are filled in
link |
02:01:36.480
and which squares are not.
link |
02:01:38.120
Sometimes an empty square gets filled in,
link |
02:01:39.720
that's called birth.
link |
02:01:40.560
Sometimes a square that's filled in gets erased,
link |
02:01:43.000
that's called death.
link |
02:01:43.960
And there's rules for which squares are born
link |
02:01:45.880
and which squares die.
link |
02:01:50.960
The rule is very simple.
link |
02:01:51.920
You can write it on one line.
link |
02:01:53.640
And then the great miracle is that you can start
link |
02:01:56.240
from some very innocent looking little small set of boxes
link |
02:02:00.320
and get these results of incredible richness.
link |
02:02:04.160
And of course, nowadays you don't do it on paper.
link |
02:02:05.680
Nowadays you do it in a computer.
link |
02:02:07.000
There's actually a great iPad app called Golly,
link |
02:02:09.320
which I really like that has like Conway's original rule
link |
02:02:12.800
and like, gosh, like hundreds of other variants
link |
02:02:15.600
and it's a lightning fast.
link |
02:02:16.820
So you can just be like,
link |
02:02:17.660
I wanna see 10,000 generations of this rule play out
link |
02:02:21.400
like faster than your eye can even follow.
link |
02:02:23.000
And it's like amazing.
link |
02:02:24.040
So I highly recommend it if this is at all intriguing to you
link |
02:02:26.360
getting Golly on your iOS device.
link |
02:02:29.400
And you can do this kind of process,
link |
02:02:30.740
which I really enjoy doing,
link |
02:02:32.080
which is almost from like putting a Darwin hat on
link |
02:02:35.080
or a biologist hat on and doing analysis
link |
02:02:38.600
of a higher level of abstraction,
link |
02:02:41.500
like the organisms that spring up.
link |
02:02:43.520
Cause there's different kinds of organisms.
link |
02:02:45.160
Like you can think of them as species
link |
02:02:46.880
and they interact with each other.
link |
02:02:48.640
They can, there's gliders, they shoot different,
link |
02:02:51.040
there's like things that can travel around.
link |
02:02:54.320
There's things that can,
link |
02:02:55.920
glider guns that can generate those gliders.
link |
02:02:59.520
You can use the same kind of language
link |
02:03:01.800
as you would about describing a biological system.
link |
02:03:04.600
So it's a wonderful laboratory
link |
02:03:06.240
and it's kind of a rebuke to someone
link |
02:03:07.920
who doesn't think that like very, very rich,
link |
02:03:10.960
complex structure can come from very simple underlying laws.
link |
02:03:16.440
Like it definitely can.
link |
02:03:18.880
Now, here's what's interesting.
link |
02:03:20.600
If you just pick like some random rule,
link |
02:03:24.640
you wouldn't get interesting complexity.
link |
02:03:26.200
I think that's one of the most interesting things
link |
02:03:28.360
of these, one of these most interesting features
link |
02:03:31.440
of this whole subject,
link |
02:03:32.280
that the rules have to be tuned just right.
link |
02:03:34.100
Like a sort of typical rule set
link |
02:03:36.060
doesn't generate any kind of interesting behavior.
link |
02:03:38.760
But some do.
link |
02:03:40.660
And I don't think we have a clear way of understanding
link |
02:03:44.560
which do and which don't.
link |
02:03:45.400
Maybe Steven thinks he does, I don't know.
link |
02:03:47.320
No, no, it's a giant mystery where Steven Wolfram did is,
link |
02:03:53.960
now there's a whole interesting aspect to the fact
link |
02:03:56.000
that he's a little bit of an outcast
link |
02:03:57.640
in the mathematics and physics community
link |
02:03:59.920
because he's so focused on a particular,
link |
02:04:02.640
his particular work.
link |
02:04:03.960
I think if you put ego aside,
link |
02:04:05.800
which I think unfairly some people
link |
02:04:08.640
are not able to look beyond,
link |
02:04:09.940
I think his work is actually quite brilliant.
link |
02:04:11.880
But what he did is exactly this process
link |
02:04:13.840
of Darwin like exploration.
link |
02:04:15.920
He's taking these very simple ideas
link |
02:04:17.400
and writing a thousand page book on them,
link |
02:04:19.880
meaning like, let's play around with this thing.
link |
02:04:22.280
Let's see.
link |
02:04:23.480
And can we figure anything out?
link |
02:04:25.480
Spoiler alert, no, we can't.
link |
02:04:28.400
In fact, he does a challenge.
link |
02:04:31.040
I think it's like rule 30 challenge,
link |
02:04:33.240
which is quite interesting,
link |
02:04:34.160
just simply for machine learning people,
link |
02:04:36.400
for mathematics people,
link |
02:04:39.420
is can you predict the middle column?
link |
02:04:41.800
For his, it's a 1D cellular automata.
link |
02:04:45.980
Can you, generally speaking,
link |
02:04:48.240
can you predict anything about
link |
02:04:50.280
how a particular rule will evolve just in the future?
link |
02:04:55.480
Very simple.
link |
02:04:56.320
Just looking at one particular part of the world,
link |
02:04:59.040
just zooming in on that part,
link |
02:05:02.040
100 steps ahead, can you predict something?
link |
02:05:04.720
And the challenge is to do that kind of prediction
link |
02:05:08.800
so far as nobody's come up with an answer.
link |
02:05:10.340
But the point is like, we can't.
link |
02:05:13.520
We don't have tools or maybe it's impossible or,
link |
02:05:16.880
I mean, he has these kind of laws of irreducibility
link |
02:05:19.960
that he refers to, but it's poetry.
link |
02:05:21.520
It's like, we can't prove these things.
link |
02:05:22.880
It seems like we can't.
link |
02:05:24.420
That's the basic.
link |
02:05:26.280
It almost sounds like ancient mathematics
link |
02:05:28.520
or something like that, where you're like,
link |
02:05:30.060
the gods will not allow us to predict the cellular automata.
link |
02:05:34.320
But that's fascinating that we can't.
link |
02:05:37.840
I'm not sure what to make of it.
link |
02:05:39.120
And there's power to calling this particular set of rules
link |
02:05:43.000
game of life as Conway did, because not exactly sure,
link |
02:05:47.880
but I think he had a sense that there's some core ideas here
link |
02:05:51.480
that are fundamental to life, to complex systems,
link |
02:05:55.800
to the way life emerge on earth.
link |
02:05:59.320
I'm not sure I think Conway thought that.
link |
02:06:01.720
It's something that, I mean, Conway always had
link |
02:06:03.200
a rather ambivalent relationship with the game of life
link |
02:06:05.880
because I think he saw it as,
link |
02:06:11.120
it was certainly the thing he was most famous for
link |
02:06:12.960
in the outside world.
link |
02:06:14.680
And I think that he, his view, which is correct,
link |
02:06:18.640
is that he had done things
link |
02:06:19.600
that were much deeper mathematically than that.
link |
02:06:22.120
And I think it always aggrieved him a bit
link |
02:06:24.260
that he was the game of life guy
link |
02:06:26.200
when he proved all these wonderful theorems
link |
02:06:28.640
and created all these wonderful games,
link |
02:06:32.080
created the serial numbers.
link |
02:06:33.360
I mean, he was a very tireless guy
link |
02:06:36.520
who just did an incredibly variegated array of stuff.
link |
02:06:40.800
So he was exactly the kind of person
link |
02:06:42.480
who you would never want to reduce to one achievement.
link |
02:06:45.600
You know what I mean?
link |
02:06:46.920
Let me ask you about group theory.
link |
02:06:50.400
You mentioned it a few times.
link |
02:06:51.800
What is group theory?
link |
02:06:53.440
What is an idea from group theory that you find beautiful?
link |
02:06:58.600
Well, so I would say group theory sort of starts
link |
02:07:01.960
as the general theory of symmetries,
link |
02:07:04.660
that people looked at different kinds of things
link |
02:07:08.280
and said, as we said, oh, it could have,
link |
02:07:12.960
maybe all there is is symmetry from left to right,
link |
02:07:16.440
like a human being, right?
link |
02:07:17.760
That's roughly bilaterally symmetric, as we say.
link |
02:07:21.320
So there's two symmetries.
link |
02:07:23.840
And then you're like, well, wait, didn't I say
link |
02:07:24.920
there's just one, there's just left to right?
link |
02:07:26.720
Well, we always count the symmetry of doing nothing.
link |
02:07:30.080
We always count the symmetry
link |
02:07:31.100
that's like there's flip and don't flip.
link |
02:07:33.080
Those are the two configurations that you can be in.
link |
02:07:35.200
So there's two.
link |
02:07:37.600
You know, something like a rectangle
link |
02:07:40.240
is bilaterally symmetric.
link |
02:07:41.560
You can flip it left to right,
link |
02:07:42.600
but you can also flip it top to bottom.
link |
02:07:45.880
So there's actually four symmetries.
link |
02:07:47.680
There's do nothing, flip it left to right
link |
02:07:50.320
and flip it top to bottom or do both of those things.
link |
02:07:52.960
And then a square, there's even more,
link |
02:07:59.700
because now you can rotate it.
link |
02:08:01.700
You can rotate it by 90 degrees.
link |
02:08:03.060
So you can't do that.
link |
02:08:03.900
That's not a symmetry of the rectangle.
link |
02:08:04.940
If you try to rotate it 90 degrees,
link |
02:08:06.180
you get a rectangle oriented in a different way.
link |
02:08:08.880
So a person has two symmetries,
link |
02:08:11.880
a rectangle four, a square eight,
link |
02:08:14.420
different kinds of shapes
link |
02:08:15.420
have different numbers of symmetries.
link |
02:08:18.860
And the real observation is that
link |
02:08:19.940
that's just not like a set of things, they can be combined.
link |
02:08:25.060
You do one symmetry, then you do another.
link |
02:08:27.700
The result of that is some third symmetry.
link |
02:08:31.020
So a group really abstracts away this notion of saying,
link |
02:08:38.780
it's just some collection of transformations
link |
02:08:41.180
you can do to a thing
link |
02:08:42.060
where you combine any two of them to get a third.
link |
02:08:44.380
So, you know, a place where this comes up
link |
02:08:45.620
in computer science is in sorting,
link |
02:08:48.260
because the ways of permuting a set,
link |
02:08:50.500
the ways of taking sort of some set of things
link |
02:08:52.340
you have on the table
link |
02:08:53.180
and putting them in a different order,
link |
02:08:54.260
shuffling a deck of cards, for instance,
link |
02:08:56.100
those are the symmetries of the deck.
link |
02:08:57.580
And there's a lot of them.
link |
02:08:58.420
There's not two, there's not four, there's not eight.
link |
02:09:00.140
Think about how many different orders
link |
02:09:01.560
the deck of card can be in.
link |
02:09:02.620
Each one of those is the result of applying a symmetry
link |
02:09:06.820
to the original deck.
link |
02:09:07.660
So a shuffle is a symmetry, right?
link |
02:09:09.060
You're reordering the cards.
link |
02:09:10.620
If I shuffle and then you shuffle,
link |
02:09:12.940
the result is some other kind of thing.
link |
02:09:16.020
You might call it a double shuffle,
link |
02:09:17.780
which is a more complicated symmetry.
link |
02:09:19.980
So group theory is kind of the study
link |
02:09:22.180
of the general abstract world
link |
02:09:24.460
that encompasses all these kinds of things.
link |
02:09:27.020
But then of course, like lots of things
link |
02:09:29.380
that are way more complicated than that.
link |
02:09:31.780
Like infinite groups of symmetries, for instance.
link |
02:09:33.540
So they can be infinite, huh?
link |
02:09:35.100
Oh yeah.
link |
02:09:35.940
Okay.
link |
02:09:36.780
Well, okay, ready?
link |
02:09:37.620
Think about the symmetries of the line.
link |
02:09:41.180
You're like, okay, I can reflect it left to right,
link |
02:09:45.020
you know, around the origin.
link |
02:09:46.820
Okay, but I could also reflect it left to right,
link |
02:09:49.580
grabbing somewhere else, like at one or two
link |
02:09:52.180
or pi or anywhere.
link |
02:09:54.620
Or I could just slide it some distance.
link |
02:09:56.440
That's a symmetry.
link |
02:09:57.340
Slide it five units over.
link |
02:09:58.540
So there's clearly infinitely many symmetries of the line.
link |
02:10:01.220
That's an example of an infinite group of symmetries.
link |
02:10:03.500
Is it possible to say something that kind of captivates,
link |
02:10:06.940
keeps being brought up by physicists,
link |
02:10:09.420
which is gauge theory, gauge symmetry,
link |
02:10:12.640
as one of the more complicated type of symmetries?
link |
02:10:14.900
Is there an easy explanation of what the heck it is?
link |
02:10:18.380
Is that something that comes up on your mind at all?
link |
02:10:21.860
Well, I'm not a mathematical physicist,
link |
02:10:23.380
but I can say this.
link |
02:10:24.380
It is certainly true that it has been a very useful notion
link |
02:10:29.460
in physics to try to say like,
link |
02:10:31.860
what are the symmetry groups of the world?
link |
02:10:34.580
Like what are the symmetries
link |
02:10:35.660
under which things don't change, right?
link |
02:10:36.980
So we just, I think we talked a little bit earlier
link |
02:10:39.220
about it should be a basic principle
link |
02:10:40.700
that a theorem that's true here is also true over there.
link |
02:10:44.180
And same for a physical law, right?
link |
02:10:45.700
I mean, if gravity is like this over here,
link |
02:10:47.660
it should also be like this over there.
link |
02:10:49.140
Okay, what that's saying is we think translation in space
link |
02:10:52.660
should be a symmetry.
link |
02:10:54.020
All the laws of physics should be unchanged
link |
02:10:56.540
if the symmetry we have in mind
link |
02:10:57.860
is a very simple one like translation.
link |
02:10:59.700
And so then there becomes a question,
link |
02:11:03.820
like what are the symmetries of the actual world
link |
02:11:07.980
with its physical laws?
link |
02:11:09.820
And one way of thinking, this isn't oversimplification,
link |
02:11:12.900
but like one way of thinking of this big shift
link |
02:11:18.420
from before Einstein to after
link |
02:11:22.420
is that we just changed our idea
link |
02:11:25.300
about what the fundamental group of symmetries were.
link |
02:11:29.780
So that things like the Lorenz contraction,
link |
02:11:31.820
things like these bizarre relativistic phenomenon
link |
02:11:34.340
or Lorenz would have said, oh, to make this work,
link |
02:11:37.700
we need a thing to change its shape
link |
02:11:44.580
if it's moving nearly the speed of light.
link |
02:11:47.460
Well, under the new framework, it's much better.
link |
02:11:50.260
You say, oh, no, it wasn't changing its shape.
link |
02:11:51.700
You were just wrong about what counted as a symmetry.
link |
02:11:54.420
Now that we have this new group,
link |
02:11:55.420
the so called Lorenz group,
link |
02:11:57.380
now that we understand what the symmetries really are,
link |
02:11:59.220
we see it was just an illusion
link |
02:12:00.340
that the thing was changing its shape.
link |
02:12:02.940
Yeah, so you can then describe the sameness of things
link |
02:12:05.780
under this weirdness that is general relativity,
link |
02:12:08.820
for example.
link |
02:12:10.940
Yeah, yeah, still, I wish there was a simpler explanation
link |
02:12:16.020
of like exact, I mean, gauge symmetries,
link |
02:12:19.820
pretty simple general concept about rulers being deformed.
link |
02:12:26.260
I've actually just personally been on a search,
link |
02:12:31.500
not a very rigorous or aggressive search,
link |
02:12:34.740
but for something I personally enjoy,
link |
02:12:37.980
which is taking complicated concepts
link |
02:12:40.980
and finding the sort of minimal example
link |
02:12:44.780
that I can play around with, especially programmatically.
link |
02:12:47.580
That's great, I mean,
link |
02:12:48.420
this is what we try to train our students to do, right?
link |
02:12:50.220
I mean, in class, this is exactly what,
link |
02:12:52.620
this is like best pedagogical practice.
link |
02:12:54.620
I do hope there's simple explanation,
link |
02:12:57.380
especially like I've in my sort of drunk random walk,
link |
02:13:02.380
drunk walk, whatever that's called,
link |
02:13:04.580
sometimes stumble into the world of topology
link |
02:13:08.580
and like quickly, like, you know when you go into a party
link |
02:13:11.420
and you realize this is not the right party for me?
link |
02:13:14.260
It's, so whenever I go into topology,
link |
02:13:16.900
it's like so much math everywhere.
link |
02:13:20.420
I don't even know what, it feels like this is me
link |
02:13:23.100
like being a hater, I think there's way too much math.
link |
02:13:25.900
Like there are two, the cool kids who just want to have,
link |
02:13:29.220
like everything is expressed through math.
link |
02:13:31.060
Because they're actually afraid to express stuff
link |
02:13:33.100
simply through language.
link |
02:13:34.860
That's my hater formulation of topology.
link |
02:13:37.580
But at the same time, I'm sure that's very necessary
link |
02:13:39.620
to do sort of rigorous discussion.
link |
02:13:41.300
But I feel like.
link |
02:13:42.620
But don't you think that's what gauge symmetry is like?
link |
02:13:44.300
I mean, it's not a field I know well,
link |
02:13:45.420
but it certainly seems like.
link |
02:13:46.500
Yes, it is like that.
link |
02:13:47.820
But my problem with topology, okay,
link |
02:13:50.620
and even like differential geometry is like,
link |
02:13:55.140
you're talking about beautiful things.
link |
02:13:59.060
Like if they could be visualized, it's open question
link |
02:14:02.060
if everything could be visualized,
link |
02:14:03.900
but you're talking about things
link |
02:14:05.020
that can be visually stunning, I think.
link |
02:14:09.180
But they are hidden underneath all of that math.
link |
02:14:13.900
Like if you look at the papers that are written
link |
02:14:16.380
in topology, if you look at all the discussions
link |
02:14:18.580
on Stack Exchange, they're all math dense, math heavy.
link |
02:14:22.140
And the only kind of visual things
link |
02:14:25.420
that emerge every once in a while,
link |
02:14:27.540
is like something like a Mobius strip.
link |
02:14:30.980
Every once in a while, some kind of simple visualizations.
link |
02:14:33.980
Every once in a while, some kind of simple visualizations.
link |
02:14:36.980
Every once in a while, some kind of simple visualizations.
link |
02:14:37.460
Well, there's the vibration, there's the hop vibration
link |
02:14:40.260
or all those kinds of things that somebody,
link |
02:14:42.500
some grad student from like 20 years ago
link |
02:14:45.180
wrote a program in Fortran to visualize it, and that's it.
link |
02:14:48.500
And it's just, you know, it's makes me sad
link |
02:14:51.060
because those are visual disciplines.
link |
02:14:53.460
Just like computer vision is a visual discipline.
link |
02:14:56.460
So you can provide a lot of visual examples.
link |
02:14:59.700
I wish topology was more excited
link |
02:15:03.380
and in love with visualizing some of the ideas.
link |
02:15:07.220
I mean, you could say that, but I would say for me,
link |
02:15:09.060
a picture of the hop vibration does nothing for me.
link |
02:15:11.940
Whereas like when you're like, oh,
link |
02:15:13.540
it's like about the quaternions.
link |
02:15:14.740
It's like a subgroup of the quaternions.
link |
02:15:16.100
And I'm like, oh, so now I see what's going on.
link |
02:15:17.860
Like, why didn't you just say that?
link |
02:15:18.900
Why were you like showing me this stupid picture
link |
02:15:20.580
instead of telling me what you were talking about?
link |
02:15:22.460
Oh, yeah, yeah.
link |
02:15:25.020
I'm just saying, no, but it goes back
link |
02:15:26.460
to what you were saying about teaching
link |
02:15:27.380
that like people are different in what they'll respond to.
link |
02:15:29.780
So I think there's no, I mean, I'm very opposed
link |
02:15:32.100
to the idea that there's a one right way to explain things.
link |
02:15:34.420
I think there's like a huge variation in like, you know,
link |
02:15:37.260
our brains like have all these like weird like hooks
link |
02:15:40.300
and loops and it's like very hard to know
link |
02:15:42.100
like what's gonna latch on
link |
02:15:43.300
and it's not gonna be the same thing for everybody.
link |
02:15:46.140
So I think monoculture is bad, right?
link |
02:15:49.500
I think that's, and I think we're agreeing on that point
link |
02:15:51.580
that like, it's good that there's like a lot
link |
02:15:53.740
of different ways in and a lot of different ways
link |
02:15:55.540
to describe these ideas because different people
link |
02:15:57.500
are gonna find different things illuminating.
link |
02:15:59.780
But that said, I think there's a lot to be discovered
link |
02:16:04.460
when you force little like silos of brilliant people
link |
02:16:11.060
to kind of find a middle ground
link |
02:16:15.300
or like aggregate or come together in a way.
link |
02:16:20.260
So there's like people that do love visual things.
link |
02:16:23.580
I mean, there's a lot of disciplines,
link |
02:16:25.740
especially in computer science
link |
02:16:27.020
that they're obsessed with visualizing,
link |
02:16:28.900
visualizing data, visualizing neural networks.
link |
02:16:31.500
I mean, neural networks themselves are fundamentally visual.
link |
02:16:34.100
There's a lot of work in computer vision that's very visual.
link |
02:16:36.700
And then coming together with some folks
link |
02:16:39.140
that were like deeply rigorous
link |
02:16:41.020
and are like totally lost in multi dimensional space
link |
02:16:43.620
where it's hard to even bring them back down to 3D.
link |
02:16:48.220
They're very comfortable in this multi dimensional space.
link |
02:16:50.300
So forcing them to kind of work together to communicate
link |
02:16:53.500
because it's not just about public communication of ideas.
link |
02:16:57.300
It's also, I feel like when you're forced
link |
02:16:59.180
to do that public communication like you did with your book,
link |
02:17:02.100
I think deep profound ideas can be discovered
link |
02:17:05.780
that's like applicable for research and for science.
link |
02:17:08.740
Like there's something about that simplification
link |
02:17:10.780
or not simplification, but distillation or condensation
link |
02:17:15.380
or whatever the hell you call it,
link |
02:17:17.020
compression of ideas that somehow
link |
02:17:19.860
actually stimulates creativity.
link |
02:17:22.140
And I'd be excited to see more of that
link |
02:17:25.220
in the mathematics community.
link |
02:17:27.820
Can you?
link |
02:17:28.660
Let me make a crazy metaphor.
link |
02:17:29.500
Maybe it's a little bit like the relation
link |
02:17:31.140
between prose and poetry, right?
link |
02:17:32.620
I mean, if you, you might say like,
link |
02:17:33.740
why do we need anything more than prose?
link |
02:17:35.020
You're trying to convey some information.
link |
02:17:36.460
So you just like say it.
link |
02:17:38.500
Well, poetry does something, right?
link |
02:17:40.500
It's sort of, you might think of it as a kind of compression.
link |
02:17:43.340
Of course, not all poetry is compressed.
link |
02:17:44.940
Like not all, some of it is quite baggy,
link |
02:17:47.660
but like you are kind of, often it's compressed, right?
link |
02:17:53.340
A lyric poem is often sort of like a compression
link |
02:17:55.620
of what would take a long time
link |
02:17:57.740
and be complicated to explain in prose
link |
02:18:00.300
into sort of a different mode
link |
02:18:03.300
that is gonna hit in a different way.
link |
02:18:05.380
We talked about Poincare conjecture.
link |
02:18:10.180
There's a guy, he's Russian, Grigori Perlman.
link |
02:18:14.620
He proved Poincare's conjecture.
link |
02:18:16.620
If you can comment on the proof itself,
link |
02:18:19.220
if that stands out to you as something interesting
link |
02:18:21.580
or the human story of it,
link |
02:18:23.220
which is he turned down the field's metal for the proof.
link |
02:18:28.380
Is there something you find inspiring or insightful
link |
02:18:32.780
about the proof itself or about the man?
link |
02:18:36.180
Yeah, I mean, one thing I really like about the proof
link |
02:18:40.620
and partly that's because it's sort of a thing
link |
02:18:42.940
that happens again and again in this book.
link |
02:18:45.140
I mean, I'm writing about geometry and the way
link |
02:18:46.940
it sort of appears in all these kind of real world problems.
link |
02:18:50.220
But it happens so often that the geometry
link |
02:18:52.780
you think you're studying is somehow not enough.
link |
02:18:56.940
You have to go one level higher in abstraction
link |
02:18:59.260
and study a higher level of geometry.
link |
02:19:01.660
And the way that plays out is that Poincare asks a question
link |
02:19:05.380
about a certain kind of three dimensional object.
link |
02:19:07.900
Is it the usual three dimensional space that we know
link |
02:19:10.340
or is it some kind of exotic thing?
link |
02:19:13.100
And so, of course, this sounds like it's a question
link |
02:19:15.140
about the geometry of the three dimensional space,
link |
02:19:17.660
but no, Perelman understands.
link |
02:19:20.260
And by the way, in a tradition that involves
link |
02:19:21.980
Richard Hamilton and many other people,
link |
02:19:23.580
like most really important mathematical advances,
link |
02:19:26.360
this doesn't happen alone.
link |
02:19:27.460
It doesn't happen in a vacuum.
link |
02:19:28.540
It happens as the culmination of a program
link |
02:19:30.220
that involves many people.
link |
02:19:31.340
Same with Wiles, by the way.
link |
02:19:32.460
I mean, we talked about Wiles and I wanna emphasize
link |
02:19:34.400
that starting all the way back with Kummer,
link |
02:19:36.700
who I mentioned in the 19th century,
link |
02:19:38.220
but Gerhard Frey and Mazer and Ken Ribbit
link |
02:19:42.260
and like many other people are involved
link |
02:19:45.260
in building the other pieces of the arch
link |
02:19:47.260
before you put the keystone in.
link |
02:19:48.340
We stand on the shoulders of giants.
link |
02:19:50.380
Yes.
link |
02:19:53.900
So, what is this idea?
link |
02:19:56.100
The idea is that, well, of course,
link |
02:19:57.460
the geometry of the three dimensional object itself
link |
02:19:59.940
is relevant, but the real geometry you have to understand
link |
02:20:02.500
is the geometry of the space
link |
02:20:04.740
of all three dimensional geometries.
link |
02:20:07.420
Whoa, you're going up a higher level.
link |
02:20:10.540
Because when you do that, you can say,
link |
02:20:12.040
now let's trace out a path in that space.
link |
02:20:18.260
There's a mechanism called Ricci flow.
link |
02:20:19.840
And again, we're outside my research area.
link |
02:20:21.100
So for all the geometric analysts
link |
02:20:23.380
and differential geometers out there listening to this,
link |
02:20:25.820
if I, please, I'm doing my best and I'm roughly saying it.
link |
02:20:29.500
So the Ricci flow allows you to say like,
link |
02:20:32.220
okay, let's start from some mystery three dimensional space,
link |
02:20:35.400
which Poincare would conjecture is essentially
link |
02:20:37.740
the same thing as our familiar three dimensional space,
link |
02:20:39.520
but we don't know that.
link |
02:20:41.260
And now you let it flow.
link |
02:20:44.180
You sort of like let it move in its natural path
link |
02:20:47.500
according to some almost physical process
link |
02:20:50.140
and ask where it winds up.
link |
02:20:51.460
And what you find is that it always winds up.
link |
02:20:54.360
You've continuously deformed it.
link |
02:20:55.740
There's that word deformation again.
link |
02:20:58.340
And what you can prove is that the process doesn't stop
link |
02:21:00.180
until you get to the usual three dimensional space.
link |
02:21:02.100
And since you can get from the mystery thing
link |
02:21:04.660
to the standard space by this process
link |
02:21:06.840
of continually changing and never kind of
link |
02:21:09.900
having any sharp transitions,
link |
02:21:12.980
then the original shape must've been the same
link |
02:21:16.300
as the standard shape.
link |
02:21:17.500
That's the nature of the proof.
link |
02:21:18.780
Now, of course, it's incredibly technical.
link |
02:21:20.460
I think as I understand it,
link |
02:21:21.500
I think the hard part is proving
link |
02:21:23.360
that the favorite word of AI people,
link |
02:21:25.640
you don't get any singularities along the way.
link |
02:21:29.460
But of course, in this context,
link |
02:21:30.500
singularity just means acquiring a sharp kink.
link |
02:21:34.360
It just means becoming non smooth at some point.
link |
02:21:37.020
So just saying something interesting about formal,
link |
02:21:41.020
about the smooth trajectory
link |
02:21:42.740
through this weird space of geometries.
link |
02:21:45.380
But yeah, so what I like about it
link |
02:21:46.740
is that it's just one of many examples of where
link |
02:21:49.620
it's not about the geometry you think it's about.
link |
02:21:51.680
It's about the geometry of all geometries, so to speak.
link |
02:21:55.980
And it's only by kind of like being jerked out of flatland.
link |
02:21:59.600
Same idea.
link |
02:22:00.440
It's only by sort of seeing the whole thing globally at once
link |
02:22:04.160
that you can really make progress on understanding
link |
02:22:05.860
the one thing you thought you were looking at.
link |
02:22:08.440
It's a romantic question,
link |
02:22:09.520
but what do you think about him
link |
02:22:11.140
turning down the Fields Medal?
link |
02:22:12.980
Is that just, are Nobel Prizes and Fields Medals
link |
02:22:17.020
just the cherry on top of the cake
link |
02:22:19.980
and really math itself, the process of curiosity,
link |
02:22:25.220
of pulling at the string of the mystery before us?
link |
02:22:28.500
That's the cake?
link |
02:22:29.580
And then the awards are just icing
link |
02:22:33.780
and clearly I've been fasting and I'm hungry,
link |
02:22:37.220
but do you think it's tragic or just a little curiosity
link |
02:22:44.620
that he turned down the medal?
link |
02:22:46.380
Well, it's interesting because on the one hand,
link |
02:22:48.460
I think it's absolutely true that right,
link |
02:22:50.780
in some kind of like vast spiritual sense,
link |
02:22:55.500
like awards are not important,
link |
02:22:57.380
like not important the way that sort of like
link |
02:22:59.260
understanding the universe is important.
link |
02:23:01.260
On the other hand, most people who are offered that prize
link |
02:23:04.620
accept it, so there's something unusual
link |
02:23:07.740
about his choice there.
link |
02:23:11.740
I wouldn't say I see it as tragic.
link |
02:23:14.420
I mean, maybe if I don't really feel like
link |
02:23:16.220
I have a clear picture of why he chose not to take it.
link |
02:23:19.260
I mean, he's not alone in doing things like this.
link |
02:23:22.060
People sometimes turn down prizes for ideological reasons,
link |
02:23:26.540
but probably more often in mathematics.
link |
02:23:28.020
I mean, I think I'm right in saying that
link |
02:23:30.020
Peter Schultz turned down sort of some big monetary prize
link |
02:23:33.940
because he just, you know, I mean, I think he,
link |
02:23:36.660
at some point you have plenty of money
link |
02:23:39.260
and maybe you think it sends the wrong message
link |
02:23:41.340
about what the point of doing mathematics is.
link |
02:23:45.740
I do find that there's most people accept.
link |
02:23:47.540
You know, most people give it a prize.
link |
02:23:48.820
Most people take it.
link |
02:23:49.660
I mean, people like to be appreciated,
link |
02:23:50.900
but like I said, we're people.
link |
02:23:53.020
Not that different from most other people.
link |
02:23:54.700
But the important reminder that that turning down
link |
02:23:57.900
a prize serves for me is not that there's anything wrong
link |
02:24:01.500
with the prize and there's something wonderful
link |
02:24:03.580
about the prize, I think.
link |
02:24:04.940
The Nobel prize is trickier
link |
02:24:07.660
because so many Nobel prizes are given.
link |
02:24:10.340
First of all, the Nobel prize often forgets
link |
02:24:12.300
many, many of the important people throughout history.
link |
02:24:15.660
Second of all, there's like these weird rules to it
link |
02:24:18.940
that it's only three people
link |
02:24:20.260
and some projects have a huge number of people.
link |
02:24:22.460
And it's like this, it, I don't know.
link |
02:24:26.220
It doesn't kind of highlight the way science is done
link |
02:24:31.180
on some of these projects in the best possible way.
link |
02:24:33.660
But in general, the prizes are great.
link |
02:24:34.980
But what this kind of teaches me and reminds me
link |
02:24:37.380
is sometimes in your life, there'll be moments
link |
02:24:41.180
when the thing that you would really like to do,
link |
02:24:47.580
society would really like you to do,
link |
02:24:50.740
is the thing that goes against something you believe in,
link |
02:24:53.940
whatever that is, some kind of principle.
link |
02:24:56.060
And standing your ground in the face of that
link |
02:24:59.860
is something I believe most people will have
link |
02:25:03.060
a few moments like that in their life,
link |
02:25:05.100
maybe one moment like that, and you have to do it.
link |
02:25:07.460
That's what integrity is.
link |
02:25:09.100
So like, it doesn't have to make sense
link |
02:25:10.460
to the rest of the world, but to stand on that,
link |
02:25:12.340
like to say no, it's interesting, because I think.
link |
02:25:16.060
But do you know that he turned down the prize
link |
02:25:17.740
in service of some principle?
link |
02:25:20.020
Because I don't know that.
link |
02:25:20.980
Well, yes, that seems to be the inkling,
link |
02:25:22.740
but he has never made it super clear.
link |
02:25:24.540
But the inkling is that he had some problems
link |
02:25:26.900
with the whole process of mathematics that includes awards,
link |
02:25:30.220
like this hierarchies and the reputations
link |
02:25:33.500
and all those kinds of things,
link |
02:25:34.500
and individualism that's fundamental to American culture.
link |
02:25:37.660
He probably, because he visited the United States quite a bit
link |
02:25:41.140
that he probably, it's all about experiences.
link |
02:25:47.380
And he may have had some parts of academia,
link |
02:25:51.500
some pockets of academia can be less than inspiring,
link |
02:25:54.740
perhaps sometimes, because of the individual egos involved,
link |
02:25:57.580
not academia, people in general, smart people with egos.
link |
02:26:01.180
And if you interact with a certain kinds of people,
link |
02:26:05.620
you can become cynical too easily.
link |
02:26:07.460
I'm one of those people that I've been really fortunate
link |
02:26:10.700
to interact with incredible people at MIT
link |
02:26:12.820
and academia in general, but I've met some assholes.
link |
02:26:15.500
And I tend to just kind of,
link |
02:26:17.060
when I run into difficult folks,
link |
02:26:19.140
I just kind of smile and send them all my love
link |
02:26:21.340
and just kind of go around.
link |
02:26:23.100
But for others, those experiences can be sticky.
link |
02:26:26.700
Like they can become cynical about the world
link |
02:26:29.820
when folks like that exist.
link |
02:26:31.660
So he may have become a little bit cynical
link |
02:26:35.500
about the process of science.
link |
02:26:37.220
Well, you know, it's a good opportunity.
link |
02:26:38.620
Let's posit that that's his reasoning
link |
02:26:40.220
because I truly don't know.
link |
02:26:42.380
It's an interesting opportunity to go back
link |
02:26:43.820
to almost the very first thing we talked about,
link |
02:26:46.340
the idea of the Mathematical Olympiad,
link |
02:26:48.380
because of course that is,
link |
02:26:50.540
so the International Mathematical Olympiad
link |
02:26:52.100
is like a competition for high school students
link |
02:26:54.620
solving math problems.
link |
02:26:55.860
And in some sense, it's absolutely false
link |
02:26:59.180
to the reality of mathematics,
link |
02:27:00.380
because just as you say,
link |
02:27:02.060
it is a contest where you win prizes.
link |
02:27:07.380
The aim is to sort of be faster than other people.
link |
02:27:11.860
And you're working on sort of canned problems
link |
02:27:13.860
that someone already knows the answer to,
link |
02:27:15.700
like not problems that are unknown.
link |
02:27:18.500
So, you know, in my own life,
link |
02:27:20.580
I think when I was in high school,
link |
02:27:21.900
I was like very motivated by those competitions.
link |
02:27:24.260
And like, I went to the Math Olympiad and...
link |
02:27:26.140
You won it twice and got, I mean...
link |
02:27:28.580
Well, there's something I have to explain to people
link |
02:27:30.180
because it says, I think it says on Wikipedia
link |
02:27:32.220
that I won a gold medal.
link |
02:27:33.420
And in the real Olympics,
link |
02:27:35.220
they only give one gold medal in each event.
link |
02:27:37.420
I just have to emphasize
link |
02:27:38.460
that the International Math Olympiad is not like that.
link |
02:27:40.820
The gold medals are awarded
link |
02:27:42.220
to the top 112th of all participants.
link |
02:27:44.980
So sorry to bust the legend or anything like that.
link |
02:27:47.260
Well, you're an exceptional performer
link |
02:27:48.860
in terms of achieving high scores on the problems
link |
02:27:51.860
and they're very difficult.
link |
02:27:53.220
So you've achieved a high level of performance on the...
link |
02:27:56.300
In this very specialized skill.
link |
02:27:57.900
And by the way, it was a very Cold War activity.
link |
02:28:00.540
You know, in 1987, the first year I went,
link |
02:28:02.900
it was in Havana.
link |
02:28:04.620
Americans couldn't go to Havana back then.
link |
02:28:06.140
It was a very complicated process to get there.
link |
02:28:08.740
And they took the whole American team on a field trip
link |
02:28:10.860
to the Museum of American Imperialism in Havana
link |
02:28:14.140
so we could see what America was all about.
link |
02:28:17.580
How would you recommend a person learn math?
link |
02:28:22.980
So somebody who's young or somebody my age
link |
02:28:26.380
or somebody older who've taken a bunch of math
link |
02:28:29.740
but wants to rediscover the beauty of math
link |
02:28:32.060
and maybe integrate it into their work
link |
02:28:34.260
more solid in the research space and so on.
link |
02:28:38.540
Is there something you could say about the process of...
link |
02:28:44.220
Incorporating mathematical thinking into your life?
link |
02:28:47.620
I mean, the thing is,
link |
02:28:48.900
it's in part a journey of self knowledge.
link |
02:28:50.860
You have to know what's gonna work for you
link |
02:28:53.740
and that's gonna be different for different people.
link |
02:28:55.940
So there are totally people who at any stage of life
link |
02:28:59.260
just start reading math textbooks.
link |
02:29:01.980
That is a thing that you can do
link |
02:29:03.660
and it works for some people and not for others.
link |
02:29:06.580
For others, a gateway is, I always recommend
link |
02:29:09.620
the books of Martin Gardner,
link |
02:29:10.820
another sort of person we haven't talked about
link |
02:29:12.620
but who also, like Conway, embodies that spirit of play.
link |
02:29:16.860
He wrote a column in Scientific American for decades
link |
02:29:19.460
called Mathematical Recreations
link |
02:29:20.980
and there's such joy in it and such fun.
link |
02:29:23.940
And these books, the columns are collected into books
link |
02:29:26.580
and the books are old now
link |
02:29:27.660
but for each generation of people who discover them,
link |
02:29:29.740
they're completely fresh.
link |
02:29:31.420
And they give a totally different way into the subject
link |
02:29:33.860
than reading a formal textbook,
link |
02:29:36.420
which for some people would be the right thing to do.
link |
02:29:40.060
And working contest style problems too,
link |
02:29:42.260
those are bound to books,
link |
02:29:43.740
especially like Russian and Bulgarian problems.
link |
02:29:45.660
There's book after book problems from those contexts.
link |
02:29:47.740
That's gonna motivate some people.
link |
02:29:50.060
For some people, it's gonna be like watching
link |
02:29:51.580
well produced videos, like a totally different format.
link |
02:29:54.300
Like I feel like I'm not answering your question.
link |
02:29:56.060
I'm sort of saying there's no one answer
link |
02:29:57.780
and it's a journey where you figure out
link |
02:30:00.340
what resonates with you.
link |
02:30:01.900
For some people, it's the self discovery
link |
02:30:04.300
is trying to figure out why is it that I wanna know?
link |
02:30:06.780
Okay, I'll tell you a story.
link |
02:30:07.620
Once when I was in grad school,
link |
02:30:09.500
I was very frustrated with my lack of knowledge
link |
02:30:11.540
of a lot of things as we all are
link |
02:30:13.140
because no matter how much we know,
link |
02:30:14.100
we don't know much more and going to grad school
link |
02:30:15.820
means just coming face to face
link |
02:30:17.220
with the incredible overflowing vault of your ignorance.
link |
02:30:20.340
So I told Joe Harris, who was an algebraic geometer,
link |
02:30:23.740
a professor in my department,
link |
02:30:26.140
I was like, I really feel like I don't know enough
link |
02:30:27.620
and I should just take a year of leave
link |
02:30:29.340
and just read EGA, the holy textbook,
link |
02:30:32.620
Elements de Géométrie Algebraique,
link |
02:30:34.420
the Elements of Algebraic Geometry.
link |
02:30:36.900
I'm just gonna, I feel like I don't know enough
link |
02:30:38.660
so I'm just gonna sit and read this like 1500 page
link |
02:30:42.060
many volume book.
link |
02:30:46.900
And he was like, and Professor Harris was like,
link |
02:30:48.300
that's a really stupid idea.
link |
02:30:49.500
And I was like, why is that a stupid idea?
link |
02:30:50.820
Then I would know more algebraic geometry.
link |
02:30:52.660
He's like, because you're not actually gonna do it.
link |
02:30:53.940
Like you learn.
link |
02:30:55.780
I mean, he knew me well enough to say like,
link |
02:30:57.140
you're gonna learn because you're gonna be working
link |
02:30:58.860
on a problem and then there's gonna be a fact from EGA
link |
02:31:01.060
that you need in order to solve your problem
link |
02:31:03.020
that you wanna solve and that's how you're gonna learn it.
link |
02:31:05.300
You're not gonna learn it without a problem
link |
02:31:06.820
to bring you into it.
link |
02:31:08.020
And so for a lot of people, I think if you're like,
link |
02:31:10.660
I'm trying to understand machine learning
link |
02:31:12.420
and I'm like, I can see that there's sort of
link |
02:31:14.460
some mathematical technology that I don't have,
link |
02:31:19.460
I think you like let that problem
link |
02:31:22.580
that you actually care about drive your learning.
link |
02:31:26.060
I mean, one thing I've learned from advising students,
link |
02:31:28.340
math is really hard.
link |
02:31:32.260
In fact, anything that you do right is hard.
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02:31:38.180
And because it's hard, like you might sort of have some idea
link |
02:31:41.420
that somebody else gives you, oh, I should learn X, Y and Z.
link |
02:31:44.540
Well, if you don't actually care, you're not gonna do it.
link |
02:31:46.460
You might feel like you should,
link |
02:31:47.500
maybe somebody told you you should,
link |
02:31:48.940
but I think you have to hook it to something
link |
02:31:51.820
that you actually care about.
link |
02:31:52.780
So for a lot of people, that's the way in.
link |
02:31:54.580
You have an engineering problem you're trying to handle,
link |
02:31:57.260
you have a physics problem you're trying to handle,
link |
02:31:59.580
you have a machine learning problem you're trying to handle.
link |
02:32:02.100
Let that not a kind of abstract idea
link |
02:32:05.020
of what the curriculum is, drive your mathematical learning.
link |
02:32:08.420
And also just as a brief comment that math is hard,
link |
02:32:12.260
there's a sense to which hard is a feature, not a bug,
link |
02:32:15.300
in the sense that, again,
link |
02:32:17.060
maybe this is my own learning preference,
link |
02:32:19.820
but I think it's a value to fall in love with the process
link |
02:32:24.500
of doing something hard, overcoming it,
link |
02:32:27.980
and becoming a better person because of it.
link |
02:32:29.740
Like I hate running, I hate exercise,
link |
02:32:32.180
to bring it down to like the simplest hard.
link |
02:32:35.700
And I enjoy the part once it's done,
link |
02:32:39.740
the person I feel like in the rest of the day
link |
02:32:41.980
once I've accomplished it, the actual process,
link |
02:32:44.100
especially the process of getting started in the initial,
link |
02:32:47.540
like it really, I don't feel like doing it.
link |
02:32:49.580
And I really have, the way I feel about running
link |
02:32:51.660
is the way I feel about really anything difficult
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02:32:55.060
in the intellectual space, especially in mathematics,
link |
02:32:58.460
but also just something that requires
link |
02:33:01.820
like holding a bunch of concepts in your mind
link |
02:33:04.820
with some uncertainty, like where the terminology
link |
02:33:08.220
or the notation is not very clear.
link |
02:33:10.220
And so you have to kind of hold all those things together
link |
02:33:13.300
and like keep pushing forward through the frustration
link |
02:33:16.020
of really like obviously not understanding certain like
link |
02:33:20.220
parts of the picture, like your giant missing parts
link |
02:33:23.660
of the picture and still not giving up.
link |
02:33:26.580
It's the same way I feel about running.
link |
02:33:28.980
And there's something about falling in love
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02:33:32.820
with the feeling of after you went through the journey
link |
02:33:36.140
of not having a complete picture,
link |
02:33:38.180
at the end having a complete picture,
link |
02:33:40.620
and then you get to appreciate the beauty
link |
02:33:42.460
and just remembering that it sucked for a long time
link |
02:33:46.020
and how great it felt when you figured it out,
link |
02:33:48.780
at least at the basic.
link |
02:33:49.940
That's not sort of research thinking,
link |
02:33:52.020
because with research, you probably also have to
link |
02:33:55.220
enjoy the dead ends with learning math
link |
02:34:00.980
from a textbook or from video.
link |
02:34:02.540
There's a nice.
link |
02:34:03.380
I don't think you have to enjoy the dead ends,
link |
02:34:04.580
but I think you have to accept the dead ends.
link |
02:34:06.340
Let's put it that way.
link |
02:34:08.900
Well, yeah, enjoy the suffering of it.
link |
02:34:11.020
So the way I think about it, I do, there's an.
link |
02:34:17.060
I don't enjoy the suffering.
link |
02:34:18.300
It pisses me off.
link |
02:34:19.140
You have to accept that it's part of the process.
link |
02:34:21.220
It's interesting.
link |
02:34:22.060
There's a lot of ways to kind of deal with that dead end.
link |
02:34:24.540
There's a guy who's the ultra marathon runner,
link |
02:34:26.460
Navy SEAL, David Goggins, who kind of,
link |
02:34:30.340
I mean, there's a certain philosophy of like,
link |
02:34:34.020
most people would quit here.
link |
02:34:37.740
And so if most people would quit here and I don't,
link |
02:34:42.420
I'll have an opportunity to discover something beautiful
link |
02:34:45.140
that others haven't yet.
link |
02:34:46.380
And so like any feeling that really sucks,
link |
02:34:52.940
it's like, okay, most people would just like,
link |
02:34:56.980
go do something smarter.
link |
02:34:58.620
And if I stick with this,
link |
02:35:01.220
I will discover a new garden of fruit trees that I can pick.
link |
02:35:06.140
Okay, you say that, but like,
link |
02:35:07.500
what about the guy who like wins
link |
02:35:09.100
the Nathan's hot dog eating contest every year?
link |
02:35:11.300
Like when he eats his 35th hot dog,
link |
02:35:13.020
he like correctly says like,
link |
02:35:14.180
okay, most people would stop here.
link |
02:35:17.020
Are you like lauding that he's like,
link |
02:35:18.460
no, I'm gonna eat the 35th hot dog.
link |
02:35:20.020
I am, I am.
link |
02:35:21.580
In the long arc of history, that man is onto something.
link |
02:35:26.300
Which brings up this question.
link |
02:35:28.420
What advice would you give to young people today,
link |
02:35:30.980
thinking about their career, about their life,
link |
02:35:34.020
whether it's in mathematics, poetry,
link |
02:35:37.300
or hot dog eating contest?
link |
02:35:40.660
And you know, I have kids,
link |
02:35:41.940
so this is actually a live issue for me, right?
link |
02:35:43.900
I actually, it's not a thought experiment.
link |
02:35:45.740
I actually do have to give advice
link |
02:35:47.140
to two young people all the time.
link |
02:35:48.540
They don't listen, but I still give it.
link |
02:35:53.180
You know, one thing I often say to students,
link |
02:35:55.420
I don't think I've actually said this to my kids yet,
link |
02:35:56.820
but I say it to students a lot is,
link |
02:35:59.860
you know, you come to these decision points
link |
02:36:03.100
and everybody is beset by self doubt, right?
link |
02:36:06.620
It's like, not sure like what they're capable of,
link |
02:36:09.780
like not sure what they really wanna do.
link |
02:36:14.780
I always, I sort of tell people like,
link |
02:36:16.540
often when you have a decision to make,
link |
02:36:20.260
one of the choices is the high self esteem choice.
link |
02:36:22.740
And I always tell them, make the high self esteem choice.
link |
02:36:24.620
Make the choice, sort of take yourself out of it
link |
02:36:26.780
and like, if you didn't have those,
link |
02:36:29.620
you can probably figure out what the version of you
link |
02:36:31.980
that feels completely confident would do.
link |
02:36:35.020
And do that and see what happens.
link |
02:36:36.500
And I think that's often like pretty good advice.
link |
02:36:40.100
That's interesting.
link |
02:36:40.940
Sort of like, you know, like with Sims,
link |
02:36:44.060
you can create characters.
link |
02:36:45.420
Create a character of yourself
link |
02:36:47.820
that lacks all the self doubt.
link |
02:36:50.260
Right, but it doesn't mean,
link |
02:36:51.340
I would never say to somebody,
link |
02:36:52.940
you should just go have high self esteem.
link |
02:36:56.220
You shouldn't have doubts.
link |
02:36:57.180
No, you probably should have doubts.
link |
02:36:58.220
It's okay to have them.
link |
02:36:59.340
But sometimes it's good to act in the way
link |
02:37:01.660
that the person who didn't have them would act.
link |
02:37:04.240
That's a really nice way to put it.
link |
02:37:08.420
Yeah, that's like from a third person perspective,
link |
02:37:13.020
take the part of your brain that wants to do big things.
link |
02:37:16.500
What would they do?
link |
02:37:18.140
That's not afraid to do those things.
link |
02:37:20.020
What would they do?
link |
02:37:21.480
Yeah, that's really nice.
link |
02:37:24.420
That's actually a really nice way to formulate it.
link |
02:37:26.300
That's very practical advice.
link |
02:37:27.540
You should give it to your kids.
link |
02:37:31.140
Do you think there's meaning to any of it
link |
02:37:32.660
from a mathematical perspective, this life?
link |
02:37:36.700
If I were to ask you,
link |
02:37:39.180
we talked about primes, talked about proving stuff.
link |
02:37:43.540
Can we say, and then the book that God has,
link |
02:37:47.340
that mathematics allows us to arrive
link |
02:37:49.540
at something about in that book.
link |
02:37:51.800
There's certainly a chapter
link |
02:37:52.820
on the meaning of life in that book.
link |
02:37:54.980
Do you think we humans can get to it?
link |
02:37:57.380
And maybe if you were to write cliff notes,
link |
02:37:59.500
what do you suspect those cliff notes would say?
link |
02:38:01.520
I mean, look, the way I feel is that mathematics,
link |
02:38:04.860
as we've discussed, it underlies the way we think
link |
02:38:07.580
about constructing learning machines.
link |
02:38:09.240
It underlies physics.
link |
02:38:11.780
It can be used.
link |
02:38:12.620
I mean, it does all this stuff.
link |
02:38:15.740
And also you want the meaning of life?
link |
02:38:17.180
I mean, it's like, we already did a lot for you.
link |
02:38:18.820
Like, ask a rabbi.
link |
02:38:22.580
No, I mean, I wrote a lot in the last book,
link |
02:38:25.900
How Not to Be Wrong.
link |
02:38:27.700
I wrote a lot about Pascal, a fascinating guy who is
link |
02:38:32.380
a sort of very serious religious mystic,
link |
02:38:35.180
as well as being an amazing mathematician.
link |
02:38:37.260
And he's well known for Pascal's wager.
link |
02:38:38.900
I mean, he's probably among all mathematicians.
link |
02:38:40.260
He's the one who's best known for this.
link |
02:38:42.340
Can you actually like apply mathematics
link |
02:38:44.140
to kind of these transcendent questions?
link |
02:38:49.900
But what's interesting when I really read Pascal
link |
02:38:53.020
about what he wrote about this,
link |
02:38:54.780
I started to see that people often think,
link |
02:38:56.300
oh, this is him saying, I'm gonna use mathematics
link |
02:39:00.060
to sort of show you why you should believe in God.
link |
02:39:03.340
You know, mathematics has the answer to this question.
link |
02:39:07.220
But he really doesn't say that.
link |
02:39:08.940
He almost kind of says the opposite.
link |
02:39:11.900
If you ask Blaise Pascal, like, why do you believe in God?
link |
02:39:15.140
He'd be like, oh, cause I met God.
link |
02:39:16.580
You know, he had this kind of like psychedelic experience.
link |
02:39:20.140
It's like a mystical experience where as he tells it,
link |
02:39:23.400
he just like directly encountered God.
link |
02:39:24.980
It's like, okay, I guess there's a God, I met him last night.
link |
02:39:26.820
So that's it.
link |
02:39:27.980
That's why he believed.
link |
02:39:29.100
It didn't have to do with any kind.
link |
02:39:30.340
You know, the mathematical argument was like
link |
02:39:33.700
about certain reasons for behaving in a certain way.
link |
02:39:36.780
But he basically said, like, look,
link |
02:39:38.340
like math doesn't tell you that God's there or not.
link |
02:39:41.100
Like, if God's there, he'll tell you.
link |
02:39:43.420
You know, you don't even.
link |
02:39:45.180
I love this.
link |
02:39:46.020
So you have mathematics, you have, what do you have?
link |
02:39:50.500
Like a way to explore the mind, let's say psychedelics.
link |
02:39:53.780
You have like incredible technology.
link |
02:39:56.620
You also have love and friendship.
link |
02:39:59.700
And like, what the hell do you want to know
link |
02:40:01.820
what the meaning of it all is?
link |
02:40:02.920
Just enjoy it.
link |
02:40:03.980
I don't think there's a better way to end it, Jordan.
link |
02:40:07.020
This was a fascinating conversation.
link |
02:40:08.540
I really love the way you explore math in your writing.
link |
02:40:14.140
The willingness to be specific and clear
link |
02:40:18.460
and actually explore difficult ideas,
link |
02:40:21.200
but at the same time stepping outside
link |
02:40:23.100
and figuring out beautiful stuff.
link |
02:40:25.060
And I love the chart at the opening of your new book
link |
02:40:30.380
that shows the chaos, the mess that is your mind.
link |
02:40:33.280
Yes, this is what I was trying to keep in my head
link |
02:40:35.540
all at once while I was writing.
link |
02:40:38.020
And I probably should have drawn this picture
link |
02:40:40.300
earlier in the process.
link |
02:40:41.300
Maybe it would have made my organization easier.
link |
02:40:43.100
I actually drew it only at the end.
link |
02:40:45.420
And many of the things we talked about are on this map.
link |
02:40:48.640
The connections are yet to be fully dissected, investigated.
link |
02:40:52.660
And yes, God is in the picture.
link |
02:40:56.740
Right on the edge, right on the edge, not in the center.
link |
02:41:00.820
Thank you so much for talking to me.
link |
02:41:01.660
It is a huge honor that you would waste
link |
02:41:03.460
your valuable time with me.
link |
02:41:05.820
Thank you, Lex.
link |
02:41:06.660
We went to some amazing places today.
link |
02:41:07.820
This was really fun.
link |
02:41:09.620
Thanks for listening to this conversation
link |
02:41:11.220
with Jordan Ellenberg.
link |
02:41:12.380
And thank you to Secret Sauce, ExpressVPN, Blinkist,
link |
02:41:16.660
and Indeed.
link |
02:41:17.980
Check them out in the description to support this podcast.
link |
02:41:21.380
And now let me leave you with some words from Jordan
link |
02:41:24.140
in his book, How Not To Be Wrong.
link |
02:41:26.720
Knowing mathematics is like wearing a pair of X ray specs
link |
02:41:30.600
that reveal hidden structures underneath the messy
link |
02:41:33.500
and chaotic surface of the world.
link |
02:41:35.780
Thank you for listening and hope to see you next time.