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Huhnkie Lee
  • 7/4/2025
the third algorithm
Transcript
00:00:00Hello friends, welcome to Humanology 2266.1. Happy Thursday evening. It's midnight express.
00:00:14Yeah, I had a very interesting dream. Well, I have this pen for whiteboard, right?
00:00:22Some people came up with the invention where they have this big jar of black ink.
00:00:28And in the middle of that black ink glass jar, they have this rod piece.
00:00:40So, well, and then plastic cap, well, that's the part that I came up with, so that they don't evaporate, okay?
00:00:50So, you uncap that and then you have this piece, this center piece of this black ink jar and then that pen for the whiteboard.
00:01:03Yeah, I just uncap it and put the end of it to the piece of this jar so that this black ink gets absorbed by this pen, okay?
00:01:14So that it's refillable, okay? Yeah, well, that's an idea. Interesting idea.
00:01:20Because that pen, it has this plastic part of that pen, right? The pen for the whiteboard.
00:01:29We want to recycle that plastic part as opposed to throwing it away, right?
00:01:35Because they become a waste. We don't want that, okay?
00:01:39Yeah, so it's recyclable, refillable. Interesting idea.
00:01:44Also, like, some, okay, in social media, if I play, like, copyrighted music, then social media suddenly stop that live, social media live show.
00:02:06So, like, Facebook, Instagram, they should stop doing that, okay?
00:02:10I know why they're doing it. It's because this, like, record, music record company, label company,
00:02:19who own the copyrighted music to those American songs, they have disposable income.
00:02:27They have money and time left, these business executives, okay, in the record label companies.
00:02:33And because they have money and time left, they're twiddling their songs in their office,
00:02:38so they're wasting their money and their energy and their time by playing this evil game of going after streamers who play their music, okay?
00:02:50Because streamers playing their music, their copyrighted music in social media, it does not hurt them economically.
00:02:59No, it does not, okay?
00:03:01But it's like politics power game. They say, oh, this is my music.
00:03:05I own the copyright so nobody else can play unless they pay us, okay?
00:03:11So they are basically paying some software engineer companies who can detect their copyrighted music, okay?
00:03:21So they are paying the software company to purchase their software, to use their software to detect playing of their copyrighted music in the social media.
00:03:33And they are also paying social media companies, too, to install the detection software that they purchase from software companies, okay?
00:03:43What a waste of money. What a massive waste of time, okay?
00:03:46So sometimes that's what these big corporations do.
00:03:50Their business executives, big corporations, business executives, sometimes what they do is they do something absolutely unnecessary.
00:03:59And something actually harm their business.
00:04:03Because social media streamers like me, if I play their copyrighted music, we are providing free service or free advertisement of their music, okay?
00:04:15They can benefit from what streamers do, okay?
00:04:20So they are doing something counterproductive because they are stupid people.
00:04:25I'm not saying all of them are, but many of them are very, very dumb, unwise people, business executives, okay?
00:04:34I'm not saying all of them.
00:04:36I'm not saying many of them, okay?
00:04:38So they come up with this stupid idea going after social media streamers who play their music, punishing them.
00:04:50By basically making contact with social media companies like Facebook, Instagram, whatnot, or YouTube, or I don't know, whatever, okay?
00:05:02Even maybe Dailymotion as well, okay?
00:05:04And make contracts so that their copyrighted music does not get played unless they are paid, okay?
00:05:12I don't think it's a good idea.
00:05:13I think it's a bad idea.
00:05:14I think it's a bad idea.
00:05:15I think it's bad for their own business.
00:05:17And I think it's just stupid idea by stupid people in those, maybe people with the MBA.
00:05:23Well, some of them are, I'm sure, decent people.
00:05:27But many MBAs are very dumb people, okay?
00:05:33I'm not saying all of them, but many of them are.
00:05:37They may be making a lot of money in big corporate offices, business executives, okay?
00:05:42But many of them are very dumb people with dumb and stupid ideas, okay?
00:05:46I'm not saying all of them are, okay?
00:05:48Yeah, just disposable income and disposable time, time left.
00:05:53There's two things in their corporate offices and they've got nothing else to do.
00:05:58Money left, so they come up with a stupid idea, doing stupid things that actually harm their business.
00:06:05They're playing power games, like politics.
00:06:09Huh?
00:06:11That's just dumb, okay?
00:06:14I'm making some social commentary here, okay?
00:06:17Now, film critics, yeah, again, there's some dumb people, some good people there, film critics area.
00:06:26And some of them are insightful, okay?
00:06:29Like in Wikipedia review about some movies, like they say, some films, some movies are not appropriate for people who are older than, let's say, 15 years old or 13 years old.
00:06:45People who are older than 13, older than 15, this movie is not appropriate for all those adults.
00:06:51Like, I mean, High School Musical, I like many parts of that movie, but other parts of that movie, High School Musical, it's very difficult to watch as an adult, okay?
00:07:06It's because it's just too, uh, it's not appropriate for adults, it's very difficult for adults to watch.
00:07:18Some parts of High School Musical, okay?
00:07:20But other parts of High School Musical is fantastic musical, okay?
00:07:23Good casting, good acting, also good dancing, good singing.
00:07:28High School Musical, yeah, the choreography, music, many, many of their parts, okay?
00:07:36But there's some parts of the movie, even some music, lyrics, that's not difficult, they're very, very difficult to watch for adults, okay?
00:07:46So, it's not just High School Musical, many other movies, uh, and for young people, I like that.
00:07:55Okay?
00:07:56Some parts of their movies, okay, so.
00:07:59Okay?
00:08:04Kindergartenkarp?
00:08:05Yeah, yeah, some parts I like that, too.
00:08:07Some parts.
00:08:08But I like their movie, Kindergartenkarp, yeah, there are many good parts in their movie.
00:08:12Uh, yeah.
00:08:22Also, A Man Who Knew Too Little, that movie is also, yeah, I like many parts of that movie, as an adult.
00:08:33But some other parts of that movie, not appropriate for adults, okay?
00:08:37Because I, I did like the entire part of that movie when I was young, when I was, like, maybe, like, teenager or preteen, okay, so.
00:08:46Okay?
00:08:47So.
00:08:49Okay, but it's a good movie, I like many parts of them, good?
00:08:53Yeah.
00:08:54Okay.
00:08:55Now, let's do stretching.
00:08:56So, there was opening monologue.
00:08:58Hey.
00:08:59But, do I want to be corporate executive one day?
00:09:07Yeah.
00:09:08I think I'll be fine.
00:09:09Yeah.
00:09:10It can happen, okay.
00:09:11Oh, yeah, corporate executive, not all of them are bad.
00:09:13I'm saying some of them are.
00:09:14Like anywhere else.
00:09:15How about lawyers?
00:09:16Yeah, lawyers are the same.
00:09:17Some of them are good.
00:09:18Most of them are good.
00:09:19Some of them are bad.
00:09:20Lawyers.
00:09:21Even lawyers, okay?
00:09:22Mathematicians are the same.
00:09:23Yeah, lawyers are the same.
00:09:24Some of them are good.
00:09:25Most of them are good.
00:09:26Some of them are bad.
00:09:27Lawyers.
00:09:28Even lawyers, okay?
00:09:29Mathematicians are the same way.
00:09:30It's like that everywhere.
00:09:32Corporate executive, same thing.
00:09:33Most of them are good.
00:09:34Some of them are bad.
00:09:35Okay?
00:09:36That's all.
00:09:37People are people.
00:09:38Okay?
00:09:39All right.
00:09:40Let me have some vocalists.
00:09:43I'll do stretching and silence, okay.
00:09:46Okay.
00:09:47Okay.
00:09:48Okay.
00:09:49Okay.
00:09:50Okay.
00:09:51Okay.
00:09:55Let's go.
00:10:14Okay.
00:11:51Okay.
00:11:53But talking about corporate, yeah, the house of bluebirds, Korean TV show free and YouTube.
00:12:00Yeah, I mean, it can be very interesting to work in big corporations, yeah.
00:12:05They have different departments, like management department or sales, resource and development
00:12:13department, some of them have factories, and yeah, human resources department, accounting
00:12:23department, finance department, yeah, big corporation.
00:12:28Yeah, it can be very exciting to be, to work there.
00:12:31So it was kind of a lot there, okay, in the house of bluebirds TV show, like basically
00:12:38brand new hires, brand new employees, they're going through some kind of training.
00:12:45Um, yeah, that's great, yeah.
00:12:48Well, I appreciate the corporations, I do, some of them, okay, because most of them are
00:12:54nice.
00:12:55Right?
00:12:56Yeah.
00:12:57Yeah.
00:12:58I appreciate it.
00:12:59You'll be very interested to work in those environments.
00:13:01Yeah.
00:13:02I don't mind working as a corporate executive.
00:13:05Yeah, sure, sure.
00:13:06I don't have an MBA, but I don't think I need to get an MBA to get a corporate executive position,
00:13:13okay?
00:13:14Oh, yeah.
00:13:15I think I would like that, actually, right?
00:13:16Yeah.
00:13:17Sure?
00:13:18Mm-hmm.
00:13:19Yeah.
00:13:20Yeah.
00:13:21Oh, yeah.
00:13:24Yeah.
00:13:25Yeah.
00:13:26Okay.
00:13:27What all?
00:13:29Yeah.
00:13:30Yeah.
00:13:31Yeah.
00:13:32Yeah.
00:13:33Yeah.
00:13:34Yeah.
00:13:35Yeah.
00:13:36Yeah.
00:13:37Yeah.
00:13:38Yeah.
00:13:39Oh, yeah.
00:13:40Oh, okay.
00:13:41Oh.
00:13:42Yeah.
00:20:13Let's do some cardio, okay?
00:20:15Okay?
00:20:17Okay.
00:20:19Okay.
00:20:20Okay.
00:20:21Let's do this.
00:20:22Good, good, good, good.
00:20:34Good, good, good.
00:20:35Yeah.
00:20:36Yeah.
00:20:38Okay.
00:20:42Good.
00:20:43Good.
00:20:46Good.
00:20:48Good.
00:20:52Good.
00:20:54Good.
00:20:56Good.
00:20:58Good.
00:20:59Amen.
00:21:29Amen.
00:21:59Amen.
00:22:29Amen.
00:22:59Amen.
00:23:29Amen.
00:23:59Okay.
00:24:05Okay.
00:24:06Hey, Ado.
00:24:09Hey, Ado.
00:24:15Hey, don't get me wrong, I'm not against business executives, corporate executives, no, I'm nothing against them, okay?
00:24:36So I'm just pointing out that people are people, so they may go to like Harvard, MBA,
00:24:45whatever, but they still can be very dumb people, okay? What I'm saying is, just the fact that they are big corporate executives, that does not mean that they always make the right decisions, okay?
00:24:59Sometimes they make dumb decisions. I look at it in the White House, even, America, politics, okay? They make bad decisions there, sometimes, okay? Yeah?
00:25:10Now, let's get back to mathematics, yeah. But most MBAs, most business executives, they're good people, okay? Even most politicians are good people, too.
00:25:26Okay? It's always just 1% of people who are perfect, okay? Anywhere in the world, okay? Yeah. Any area of the profession, okay? So, all right.
00:25:39Now, I thought more about this, and it's interesting, okay? So, it's intriguing.
00:25:57They're vertically symmetric as well, okay? So, 2, then 1, 2, 2 down, 1, 2 down, 1, 2 down, 1, 2 down, 3, 1, 3 down, 1, 3 down, 1, 3 down, okay?
00:26:15And it's also like this, because they're symmetric.
00:26:2521, right? 1, up, up.
00:26:401, up, up.
00:26:4521, right?
00:26:46Yep.
00:26:4721, up, up.
00:26:4921, up, up.
00:27:0321, up, up.
00:27:0822, up.
00:27:13And if we hit the middle line, that's a bonus because it's like playing a board game, even a video game, okay?
00:27:27But if we hit the middle line, because they are symmetric, we have odds.json element, okay, so here...
00:27:43Let's verify this only, okay, because this is supposed to be 2 here, but 2 is already there,
00:28:12so I must have made mistakes somehow. Look, I made mistakes too, okay, so...
00:28:20We're dealing with just so many numbers here.
00:28:421, 2, 3, 4...
00:28:501, 2...
00:28:521, up, up.
00:29:111, up, up.
00:29:251, up, up.
00:29:27Okay, okay.
00:29:29All right.
00:29:37So, if we hit this middle line, we have a bonus here, because by symmetry, you know, here we already have 2,
00:29:46but in case we don't have 2 yet, okay?
00:29:49Yeah, we have 21 and 23 minus 21, 2, the other side, okay, because we're symmetric.
00:29:57Yeah.
00:29:59Then we know the vertical displacement.
00:30:0323 plus what, 2?
00:30:0725.
00:30:0825 minus 21, 4, okay?
00:30:11So, the displacement for this column is 4.
00:30:26Then we can calculate the entire column, okay?
00:30:30Okay.
00:30:39And for 5.
00:30:411, 5.
00:30:435.
00:30:445.
00:30:455, 5, 5.
00:30:595, 5.
00:31:09When we hit the bottom line.
00:31:15Or fourth line, again, we have a bonus.
00:31:22Because of symmetry, we know the displacement for that column, and then we know the entirety of that column, okay, so...
00:31:41One, two, three, four.
00:31:43Five, six, seven, eight, nine.
00:31:55So, 23 minus five.
00:32:03Seven, ten.
00:32:08Seven, yeah.
00:32:10Seven, yeah.
00:32:13Eight, nine, nine, nine.
00:32:19And...
00:32:21I'm sorry, it's 18.
00:32:4023 minus 5 is 18.
00:32:51So, we can predict, based on numerical calculation, what number will hit the center line?
00:33:21And what number will hit the bottom line, or even the first line?
00:33:28Center line, you can hit it from above or below.
00:33:33Bottom line, you can hit the bottom line or you can hit the first line.
00:33:37We can calculate, we can predict that.
00:33:39That's another way to fill this matrix.
00:33:44Okay.
00:33:45Now, let's take five minutes, okay?
00:33:46Yeah.
00:33:47Okay.
00:33:51Yeah, playing with magic matrix.
00:34:05Cool.
00:34:06True.
00:34:07...
00:43:54So, there is a possibility that we may find constant time algorithm for primality testing.
00:44:03Okay.
00:44:04Okay.
00:44:05For co-primality testing, currently, that's logarithmic time algorithm, okay?
00:44:12Okay.
00:44:13For primary, primality testing currently is linear time.
00:44:20That's even worse, okay?
00:44:22The linear time algorithm.
00:44:23Currently, that's what they have, okay?
00:44:25Okay.
00:44:26Okay.
00:44:32Okay.
00:44:34Okay.
00:44:35Okay.
00:44:36Okay.
00:44:55Okay.
00:44:56Okay.
00:45:02Okay.
00:45:03Okay.
00:45:04Okay.
00:45:05Okay.
00:45:25Okay.
00:45:28Okay.
00:45:32Okay.
00:45:34Okay.
00:45:36I'm done.
00:45:37Okay.
00:45:38Okay.
00:45:38Okay.
00:45:38Let's go.
00:45:39Okay.
00:45:42dividing line, one of them is an even number, one of them is an odd number, okay?
00:45:47Yeah. And the finishing line, that's always an even number, because odd number
00:45:55minus one. Okay? Okay, good.
00:45:59What else do you know?
00:46:59We also know that the vertical symmetric, so, and horizontal symmetric, so if we, out of
00:47:18these four quadrants, if we know the fourth quadrant, then game over, okay? We know this,
00:47:26we know that, from there, we know this, we know everything, okay? We just need to know
00:47:30the fourth quadrant, okay? So, and because we have three here, and then we have three there,
00:47:40then we know that, um, 23 minus three, 20. There'll be 20 over there, okay? Yeah.
00:48:04There's a dual of that three, okay? So, index, yeah, six and 17.
00:48:33Yeah.
00:48:36Sure.
00:48:37Yeah.
00:48:38Yeah.
00:48:39Yeah.
00:48:41Yeah.
00:48:42Yeah.
00:48:44Yeah.
00:49:44We do 2, 2, 2, 3, 3, 3, 4, 4, and there's some still gaps to be filled.
00:50:01How do we fill those gaps?
00:50:14So basically we came up with the third algorithm to fill this matrix, okay?
00:50:26So diagonal method, let's call it that, okay?
00:50:31So, okay.
00:50:36Okay.
00:50:38Cheers.
00:50:42Again, don't get me wrong.
00:50:43MBA is a good program, okay?
00:50:44Yeah, we need business executives.
00:50:47Most of them make good business decisions.
00:50:50We need them, okay?
00:50:51Yeah, MBA.
00:50:52It's a good profession, okay?
00:50:54Oh, yeah, absolutely.
00:50:58I am not against it at all.
00:51:01Many of my friends got MBA.
00:51:03They're good people, smart ones, okay?
00:51:05Yeah.
00:51:06It's a good profession, yeah.
00:51:08To be a corporate executive, oh, that's great.
00:51:12I don't mind being one, okay?
00:51:14Yeah, it'll be fun, sure.
00:51:16That's cool.
00:51:17Yeah.
00:51:25Yeah.
00:51:34Okay.
00:51:34Okay.
00:51:47Okay.
00:52:08You
00:52:28Now
00:52:30This table is too big, it's good that it's a big table, okay, but it's a little bit difficult
00:52:43to manage, okay, so let's take five minutes break and then let's switch to smaller table,
00:52:55okay?
00:52:56I'm wondering, we can calculate based on this base number 23, we can calculate what numbers
00:53:06will hit the bottom line, it has to be raw algebra, okay, or what number will hit the
00:53:13middle line, okay, because those are the keys, okay, so if one number hits the middle line,
00:53:22then we will find the displacement, vertical displacement, okay, if one number hits bottom
00:53:28line, yeah, we can find the displacement too, okay, yeah, so if we know the displacement,
00:53:34which is same as the element of the first row, then that column is determined, okay, sure.
00:53:41Okay, let's take five minutes break, okay, and continue to play with this magic matrix, okay, five minutes,
00:53:59thank you.
00:54:05Okay.
00:58:50So let's just keep using this, okay?
00:58:50So, okay.
00:58:51So what numbers...
00:58:55Well, let's switch to whiteboard.
00:58:59Uh...
00:59:00smaller numbers. Sometimes it helps to work with big numbers. Sometimes it
00:59:12helps to work with smaller numbers. Okay, so okay. Now, we have
00:59:30base 7 here, okay? And what numbers hit the bottom? Actually, they are all numbers. All numbers hit the bottom at some point, okay? Okay, well...
00:59:50It's interesting. One numbers hit the middle, all numbers. They hit the middle number once.
01:00:00Yeah. That doesn't really help, does it?
01:00:14Now, time check.
01:00:21It's been more than one hour, okay? Let's relax.
01:00:25Then we can have some drinks.
01:00:29Okay.
01:00:30Let's get some Toms.
01:00:36Okay.
01:00:37Let's get some Toms.
01:00:38Okay.
01:00:39Let's get some Toms.
01:00:43Let's get some Toms.
01:00:50Let's get some Toms.
01:00:56Let's get some Toms.
01:01:09I guess what we are interested in is this.
01:01:39There are multiple iterations here, we have 3, 3, that's the first iteration, and the second
01:01:48iteration is 3, 3, third iteration is 3, 3, okay, what we want to know is we are interested
01:01:59in only the first iteration, because that's easier to calculate, okay, yeah.
01:02:08So what numbers hit the center line or bottom line in the very first iteration?
01:02:28Okay.
01:02:30Ooh.
01:02:32Ooh.
01:02:33Ooh.
01:02:34Ooh.
01:02:35Ooh.
01:02:36Ooh.
01:02:37Ooh.
01:02:39Ooh.
01:02:41You.
01:02:43Ooh.
01:02:45Ooh.
01:02:48We have to determine the constant time I would, okay?
01:03:07Yeah.
01:03:08Okay.
01:03:09We use our knowledge about this magic matrix, about this symmetry, sorry, okay?
01:03:37So, seven minus one, six, right?
01:03:44And one number divides six.
01:03:52Well, both one, two, and three.
01:03:55Okay?
01:03:56Yeah.
01:04:02Okay.
01:04:04Because they divide six, yeah, they will hit the bottom in the first round.
01:04:15Okay?
01:04:16Yeah.
01:04:17One, yeah, six, and two, two, two, two.
01:04:21Okay?
01:04:22Three, three, three.
01:04:23They divide six.
01:04:24Okay?
01:04:25Yeah.
01:04:26So, they will, six is multiple of them.
01:04:29Okay?
01:04:30So, that's why they are going to hit the bottom.
01:04:32Okay?
01:04:33The first round.
01:04:34Good.
01:04:35Cheers.
01:04:36Cheers.
01:04:37How about four?
01:04:51How about four?
01:04:52How about four?
01:05:164 hit 6 in the third round, okay?
01:05:25Y will determine that later. It may happen to be logarithm time algorithm, okay?
01:05:31So, well, it could be cancer time. Let's see.
01:05:38Well, let's start the round index from zero, okay?
01:05:52Yeah.
01:06:08It's different kind of round index, okay?
01:06:20Well, it could be the same as the previous one. That I don't know.
01:06:24Okay, but at least it's a different concept, okay? Yeah.
01:06:36So, as previously, for number four, we have four rounds, okay?
01:06:50So interesting.
01:06:52Hmm.
01:06:54Oh, yeah.
01:07:10Oh, yeah. One, yeah. One, one, one, one, one. Yeah. So, that's the hitting point, okay? So, okay.
01:07:28Okay.
01:07:34Two? Two, two, two?
01:07:36Hearing point. Three?
01:07:38Three, three. Hearing point. Okay, okay.
01:07:42Yeah. Cheers.
01:08:06Let's write something.
01:08:16One, two, three.
01:08:20Number of rounds.
01:08:22Uh, zeroth round, okay?
01:08:26For four.
01:08:28One, two.
01:08:40Three, three, two, one.
01:08:44What?
01:08:46All right.
01:08:48One, two, three.
01:09:20Cheers.
01:09:50Mm-hmm.
01:13:27So for five, basically we're saying five times round number R.
01:13:37Rout 7 is equal to six.
01:13:55So basically that's the equation we need to solve, okay?
01:13:58So to solve this equation, yeah, it takes logarithmic time, not constant time, okay?
01:14:05So hitting the logarithmic time algorithm, yeah, I am so sorry, hey, I thought this might
01:14:21be different, but it's just, I just don't seem to find it.
01:14:26I don't know, maybe there's a logarithmic time algorithm.
01:14:31Maybe there isn't.
01:14:33I just keep hitting the same exact same brick wall, logarithmic algorithm.
01:14:52That's what breaks my heart.
01:14:53I think that's what breaks my heart.
01:14:57I don't know.
01:14:59I mean, there's about it, yeah.
01:15:41Uh, actually, this is creation in RAW.
01:16:00Um, it's more like, uh...
01:16:11It's more like, uh...
01:16:41Okay, so here R is three.
01:16:55Uh, actually, I was, uh...
01:16:59Um...
01:17:03Maybe there is something here.
01:17:27I don't know.
01:17:35It's been more than one hour.
01:17:45It's been more than one hour.
01:17:57Uh, I'm a little bit stressed out because I've been working on this problem, uh, doing the show in my bedroom.
01:18:06In my bedroom, I was like, you know what, let me stop thinking about it.
01:18:10Let me stop thinking about this.
01:18:12Because, like, I was too tired of this mathematics problem.
01:18:17Okay, so...
01:18:18Uh...
01:18:25We are making progress, okay?
01:18:27We are learning something.
01:18:32Well, yeah, I mean, I am tired, but...
01:18:37We are learning something more about this matrix.
01:18:39That's good.
01:18:41Maybe it's not hitting the brick wall.
01:18:51Maybe it's something new, okay?
01:18:54Maybe this might lead to constant time algorithm.
01:18:57I don't know.
01:18:58And I'm just tired to think about this, okay?
01:19:01So, let's take five minutes break, and then, uh...
01:19:06Actually, let's digitize this, okay?
01:19:08Let's just go to Instagram Live, okay?
01:19:10Yeah.
01:19:11Okay?
01:19:12Yeah.
01:19:13Very soon, thank you.
01:19:14Yeah.
01:19:16Sorry about being grumpy, okay?
01:19:18So...
01:19:19Sorry.
01:19:20My apologies.
01:19:21I feel better at all.
01:19:24We'll take a break for mathematics, thank you.