- 6/14/2025
diverse analogies in humanology
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00:00:00Hello friends. Welcome to Friday Night Live Company episode 212.1. Happy Friday evening again.
00:00:12Yeah, during the digitization process and more than that, now the previous episode is published,
00:00:19okay, so I guess it's been one hour since last episode, okay. I've been just drinking water,
00:00:25okay, and cigarette break once in a while, okay, and so I became sober again, okay,
00:00:32and I've been looking at this and then working on some more crunching and stuff,
00:00:40and I discover something very cool, and I share with them with you, okay, yeah,
00:00:47let me get some Toms. Now I'll start drinking again a little bit.
00:00:54So let's kind of rename our sets, okay, let's call it a multi-prime vector set, okay?
00:01:17Multi-prime vector set, meaning, yeah, prime factorization, like 60 is 2 times 2 times 3 times 5,
00:01:34and just we allow the redundancy, okay, so 8, multi-prime vector set, yeah, 1, 2, 2, 2,
00:01:43okay, and then graded common divisor of 60 and 8 is multi-prime vector set of 60 and 80 and 8,
00:01:57then intersection in multi-set, okay, there's 1 to 2 and we just multiply all of them, okay,
00:02:05so then it's 4, okay, so, and what's surprising is this,
00:02:09as we conduct raw operator remainder, okay, it can't get rid of all the elements
00:02:20that's outside of this intersection of two multi-prime vector sets, okay, like we have 2, 2, 3, ignore 1, okay,
00:02:312, 2, 3, 5, and 2, 2, 2, 2, okay, but just one raw operation remainder operation, okay,
00:02:42model operation, okay, we are getting rid of all the elements that does not belong to this intersection,
00:02:51okay, and sometimes we need multiple row operations, okay, so, and here we get rid of 3 and 5,
00:03:01and here we got rid of extra 2,
00:03:06other only one row operator operation, okay, like 60 row 8 is 4, okay,
00:03:16now when we do 21 and 60, one row operation get rid of element 7,
00:03:27extraneous element, okay, and then we have 18 and 21 left, so when we conduct
00:03:3521 row 18, now we're getting rid of 18 is 9 times 9 times 2, okay, we get rid of extra 3 and 2,
00:03:50only 3 left, okay, so what I would like to understand next is this, okay, each row operations,
00:04:00can we determine what extra prime factors get removed, it's like sieving concept, sieve, okay,
00:04:11in farming, yeah, this is very intriguing, I want to understand
00:04:19that sieving process,
00:04:27sifting, okay, mathematical sifting,
00:04:34right, yeah, in farming, uh, we have this sieve that's grid,
00:04:41then small, the smaller grains, that's smaller than these holes in the sieve get,
00:04:49flow, uh, fall through, and the elements that's larger than this grid holes,
00:05:00remain, that's how they separate larger grains and smaller grains in farming, sieving,
00:05:09sifting, sifting, okay, but in mathematical context,
00:05:16rule operation works like that,
00:05:24some elements fall through, some elements remain and get discarded,
00:05:31I want to understand that mechanism in detail, cheers, we found something very cool, okay, yeah,
00:05:39so this adventure, yeah, we may find the greatest common device or constant time algorithm,
00:05:50or we may not find it, doesn't matter, okay, we are learning something, we are discovering something,
00:05:54very cool, something, okay, yeah, how exciting,
00:05:58yeah,
00:06:18at least we may determine how many rule operations that we need to find gamma, okay,
00:06:25okay, yeah, yeah, I don't think other mathematicians have that yet, okay, so,
00:06:33their maximum, the Lama's theorem, right, but the exact number of rule operations that's needed to
00:06:41find greatest common device or gamma, okay, so, if we at least we can find that somehow,
00:06:47how, this is intriguing, yeah,
00:07:01so, the mechanism is of this raw sifting, let's study that,
00:07:19yeah,
00:07:22yeah, I'm not sleepy, I'm not that hungry, and I got sobered up, because I've been just drinking water,
00:07:29past hour, okay, so, let's take five minutes break, and I'll grab a new wipe port,
00:07:37new used wipe port to erase, and then, uh, we'll work on some examples, okay, yeah,
00:07:44rule sifting concept, okay, yeah, like, what extra in your numbers that we do not need,
00:07:51you can throw now, you can throw now, how, okay,
00:08:00this is intriguing, okay, so, yeah, let's take five minutes break,
00:08:07and I'll grab a wipe port to erase, and then we'll work on some examples,
00:08:13okay, very cool, making good progress here, okay, yeah, nice,
00:08:21okay, all right, fine, thank you,
00:08:35okay,
00:08:37okay,
00:08:39okay,
00:08:41okay,
00:08:43okay,
00:08:47okay,
00:08:49okay,
00:08:54okay,
00:09:00okay,
00:09:02okay,
00:09:12okay,
00:11:45Okay.
00:11:46Let's continue.
00:11:48Let's erase this one.
00:11:50Let's erase this one.
00:11:52Let's erase this one.
00:11:54Okay.
00:11:55Let's erase this one.
00:12:00Okay.
00:12:02Let's erase this one.
00:12:03I can erase this one.
00:12:04I can erase this one.
00:12:06Okay.
00:12:07Okay.
00:12:08Okay.
00:12:09All right.
00:12:10All right.
00:12:11Let's erase this one.
00:12:15Let's erase this one.
00:12:16Yeah.
00:12:22Yeah.
00:12:23Yeah.
00:12:24Yeah.
00:12:25I'm neither drunk nor sleepy nor hungry.
00:12:28I'm not drunk nor hungry.
00:12:29Not drunk nor sleepy nor hungry.
00:12:33Not drunk nor hungry.
00:12:34Not hungry.
00:12:35Not hungry.
00:12:40Ideal condition for mathematics.
00:12:41Sure.
00:12:42Sure.
00:12:43Not tired mathematics yet.
00:12:47At this point.
00:12:48At this point.
00:12:49Uh-huh.
00:12:50Okay.
00:12:54Okay.
00:12:55All right.
00:12:56So.
00:12:57I'm getting hungry actually.
00:12:58Yeah.
00:12:59But not drunk so I can drink alcohol.
00:13:01Which is good amount of calories.
00:13:02Ah.
00:13:03Happy Friday.
00:13:04Cheers.
00:13:05Mm-hmm.
00:13:06Yeah.
00:13:07Yeah.
00:13:08Yeah.
00:13:09Yeah.
00:13:10Yeah.
00:13:11Yeah.
00:13:12Yeah.
00:13:13All right.
00:13:14So.
00:13:15I'm getting hungry actually.
00:13:16Yeah.
00:13:17But not drunk so I can drink alcohol.
00:13:18Just good amount of calories.
00:13:23Ah.
00:13:28Happy Friday.
00:13:29Cheers.
00:13:30I'd say this.
00:13:33Um-hum.
00:13:34Uh-hum.
00:13:35Uh-hum.
00:13:42So.
00:13:43Okay.
00:13:44Uh.
00:13:45Great common divisor.
00:13:46Okay.
00:13:47Uh.
00:13:48Great common divisor.
00:13:49Okay.
00:13:50Uh.
00:13:51Definition.
00:13:52Great common divisor.
00:13:55Gamma.
00:13:57of A and B.
00:13:58Is equal to.
00:13:59pi, pi is multiplying all the elements of a set, okay, so of multi-prime factor set of A intersection, including allowing repetitions, so it's a multi-set intersection operator, okay, so
00:14:27the multi-prime factor set of B, okay, for example, 60 gamma 21 is equal to, pi means you multiply all the elements of the set, okay, so
00:14:55multi-prime factor set of 60, we'll just ignore one, okay, but whatever, prime factor set, multi-prime factor set of 60,
00:15:10all right, yeah, four times 15,
00:15:19and then 71,
00:15:26okay,
00:15:32uh,
00:15:39one,
00:15:45three,
00:15:47guess that,
00:15:50three, okay,
00:15:53now 68,
00:16:13you
00:16:14you
00:16:16you
00:16:18you
00:16:18okay here we have three tools we have two tools okay so intersection two tools okay
00:16:30okay I'm getting tired ah a lot of energy yeah required to do all this stuff okay
00:16:46cheers
00:16:49and so when we do
00:17:01okay multi
00:17:06prime set prime factor set
00:17:13of uh 60 rho 21
00:17:21uh 21 times 2 42 60 minus 42 18
00:17:35prime factorization of 18 9 times 2 okay
00:17:53so basically uh by doing this what we have is
00:18:10from 60 and 21 we got rid of
00:18:18one two
00:18:20we got rid of five
00:18:30and we got rid of seven okay
00:18:37but we introduced extra three though
00:18:46okay this is fun
00:18:51then next round what we need to do is we need to get rid of two
00:19:07that we inherit from there okay and we need to get rid of the
00:19:15extra set three that was introduced in the raw operation okay
00:19:21yeah doing the raw operation one one more time
00:19:29yeah 21 rho 18 that's a three okay so then we get the two and we get the extra three okay
00:19:37okay how interesting cheers
00:19:45but when we do 60 rho 8 which is like uh
00:19:5160 minus uh 7 times 8 uh 56 okay and uh 4 okay then we get rid of everything that we do not need
00:20:07so we get rid of 3 we get rid of everything that we do not need to do
00:20:10so we get rid of everything that we do not need to do because we do not need to do
00:20:13Multi-prime factor set of 60 rho 8, 4, okay.
00:20:33So in this one row operation, we got rid of 3, got rid of 5, we got rid of extra 2, okay?
00:20:43So we know why other row operators, why we need row operator in order to adapt as a sieve
00:21:01in this gamma, create a common divisor setting, because corollary, there's a result from implication
00:21:12from the common divisor set theorem that we proved, okay, so, yeah, okay.
00:21:22Let me get rid of that insect over there.
00:21:34Okay, but is it possible to come up with a better sieve?
00:22:03More efficient sieve than row operator.
00:22:10Can we come up with a function that is more efficient than row operator in order to use
00:22:19as sieve?
00:22:20Cheers.
00:22:21Yeah.
00:22:22Because in this example of 60 and 21, we got rid of extra 2, 5, we got rid of 7.
00:22:44So we introduced extra 3 and also the 2 that we never needed, it got inherited from there.
00:22:56That's why we had to do another row operator to get rid of 2 and 3.
00:23:04Yeah.
00:23:05So this row operator as a sieve, we had to shake it twice in comparison to farming, okay?
00:23:16But maybe there's more efficient operation or function, more elaborate, so that we can just sift it only once.
00:23:29Okay.
00:23:30That function, my friends, would be the constant time formula, function, algorithm to find greatest
00:23:36common divisor, okay?
00:23:38Cheers.
00:23:40Mmm, sorry.
00:23:43Okay?
00:23:45It may not be just once, but hopefully it does not grow in complexity as the size of the input
00:23:50grows, okay?
00:23:52We just want it to be constant time, algorithm, or formula,
00:23:57to find a great common device.
00:23:59OK, so, cheers.
00:24:00OK?
00:24:21Yeah.
00:24:26Well, visually, it's very easy.
00:24:31Intersection, OK, we have 1, 2, 2, 3, 5, 1, 3, 7.
00:24:36What do we have in common?
00:24:383.
00:24:40OK?
00:24:421, 2, 2.
00:24:43Now, next example, 60 and 8.
00:24:461, 2, 2, 3, 5, 1, 2, 2, 2.
00:24:50What are common elements?
00:24:522 and 2.
00:24:532 2s.
00:24:54OK?
00:24:55Here, we have 3 2s.
00:24:56We have 2 2s here, OK?
00:24:58OK, so visually, that's easy, right?
00:25:00But algebraically, OK?
00:25:08Yeah.
00:25:09How do we do that?
00:25:10Also, in order to use this set intersection operator, we need to do prime factorization
00:25:18of each input, and that's linear time.
00:25:22OK?
00:25:23OK?
00:25:24To do that.
00:25:25To do that.
00:25:26OK.
00:25:27So that's challenging there.
00:25:30OK.
00:25:31OK.
00:25:32OK.
00:25:33OK.
00:25:34OK.
00:25:35The advantage of this row operation based Euclidean algorithm is that it does not require prime
00:25:43factorization.
00:25:44OK.
00:25:45OK.
00:25:46That's why it's logarithm time algorithm, not linear time.
00:25:52OK.
00:25:53OK.
00:25:54OK.
00:25:55OK.
00:25:56OK.
00:25:57OK.
00:25:58OK.
00:25:59OK.
00:26:00OK.
00:26:01OK.
00:26:02OK.
00:26:03OK.
00:26:04OK.
00:26:05Let's see.
00:26:06OK.
00:26:07even better function than raw operator to use as a sieve. I think it makes
00:26:15sense to have a deeper understanding of how this raw operator sieving works.
00:26:29Because I do not understand how it works yet. I'm just observing how it works.
00:26:35But I do not understand the mechanism behind it. Not yet, okay, so...
00:26:42Mm-hmm.
00:26:51Yeah.
00:27:0560 minus 21 times 2.
00:27:12Result 18, okay? So in that one raw operation, we got rid of 7, we got rid of 5. Because neither 5 nor 7 is a factor of 18.
00:27:20So it worked very magically, okay? So we are going to go backstage and ask the magician, how did you do it?
00:27:27Okay. Now we are making analysis with magic, okay?
00:27:34Sure.
00:27:35That is magic, okay? So we are going to go backstage and ask the magician, how did you do it?
00:27:41Okay. Now we are making analysis with magic, okay? Sure. That is magic, okay?
00:27:49Now, let me find a break. Vocalist is necessary, okay? So, okay.
00:27:54Until again.
00:27:56Yeah.
00:27:58Five minutes, thank you.
00:28:03Yeah.
00:28:04Yeah, I'm a huge fan of the stage magic shows, but I do not know any magic tricks.
00:28:12Okay.
00:28:13Yeah.
00:28:14Yeah, maybe mathematical magic tricks, maybe.
00:28:17But stage magic performance, I'm a huge fan, but I don't know any.
00:28:22Okay.
00:28:23All right.
00:28:24Bye.
00:28:34Okay.
00:28:35Okay.
00:28:39Okay.
00:28:52All right.
00:33:24Hello.
00:33:54So, here we have 60 minus 21 times 2 is equal to 18, okay, here we have
00:34:1960 minus 8 times 7 is equal to 4, okay, this is a raw upper error, okay, so
00:34:34to shed extraneous elements that we don't need, okay, interesting, cheers.
00:34:49Mm-hmm, to get rid of all the prime numbers that we don't need, okay, yeah, okay.
00:35:08So, 60 is a multiple of 5, 21 multiple of 7, but 60 minus 21 times 2, 18, 18 is neither
00:35:29multiple of 5 nor multiple of 7, so we got rid of 5 and 7, okay, so, yeah, somehow, it's
00:35:38like 5 and 7 disappears, just like in magic, stage magic, performance, okay.
00:35:44We are making a lot of analogies here, okay, connecting the dots, like Buddhism, religion,
00:35:51and fine art, like sculpture, and also stage magic, performance, okay, so, and of course,
00:36:01mathematics, okay, so, welcome to Humanology School, okay, yeah, because we study all different
00:36:09things, okay, yeah, cheers, nice, yeah, yeah, yeah, no, no, no, no, no, no, no, no, no, no, no, no,
00:36:37no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no
00:37:07But it works in logarithmic fashion, it's logarithmic algorithm, okay?
00:37:16Yeah, this algorithmic complexity, okay, so, yeah, there's an input size, okay?
00:37:30But in other literature, they use the number of digits, okay?
00:37:35Which is logarithmic to the number itself, okay?
00:37:40But in our context, yeah, we just use n, not the number of digits, okay, so, okay?
00:37:49Okay, so, good, that's more convenient for us, okay?
00:37:55Cheers.
00:37:57Mm-hmm.
00:37:58Mm-hmm.
00:38:00Mm-hmm.
00:38:02Mm-hmm.
00:38:03Mm-hmm.
00:38:04Mm-hmm.
00:38:07Mm-hmm.
00:38:12Okay.
00:38:14Yeah.
00:38:17Mm-hmm.
00:38:20Mm-hmm.
00:38:22So, yeah.
00:38:25Okay.
00:38:48Okay.
00:38:48But division operation in computer science, they have algorithm for it.
00:38:59Okay.
00:39:00If you have one.
00:39:01Okay.
00:39:02But yeah.
00:39:03And it does depend on the size of input.
00:39:07Okay.
00:39:08So, division algorithm itself.
00:39:11Yeah.
00:39:12So, raw operation algorithm, division algorithm, they come similar.
00:39:17Okay.
00:39:18No.
00:39:19Time check.
00:39:24It's been less than one hour.
00:39:38Okay.
00:39:39All right.
00:39:40All right.
00:39:42All right.
00:39:46All right.
00:40:06Magic, huh?
00:40:07Ha.
00:40:08Yeah.
00:40:09So, this determination.
00:40:13That's what I want to understand.
00:40:14I want to understand in each round of raw operation.
00:40:20Uh, what exterraneous elements get eliminated.
00:40:21Uh, what exterraneous elements get eliminated.
00:40:26And what exterraneous elements get included.
00:40:27Uh, what exterraneous elements get included.
00:40:28Uh, what exterraneous elements get eliminated.
00:40:33Okay.
00:40:34Okay.
00:40:35Okay.
00:40:36Okay.
00:40:37Okay.
00:40:38Okay.
00:40:39Okay.
00:40:40Okay.
00:40:41And how many raw operations is necessary to arrive at the greatest goal.
00:40:43Okay.
00:40:44What exterraneous elements get eliminated and what extraneous elements get included.
00:40:56Okay, and how many operations is necessary to arrive at the greatest common device.
00:41:05Yeah, it has to be a determinable process.
00:41:14Like a function.
00:41:29In each iteration of row operation, what elements get removed from each set and what elements get introduced?
00:41:40Yeah, I want to understand.
00:41:43How that works.
00:41:47Behind the scenes.
00:41:49Press digitization like magic, right?
00:41:51Okay, let's have five minutes break.
00:41:53I need some vocalist.
00:41:55Oh, this is nice.
00:41:57Intriguing.
00:41:59Magic.
00:42:01In mathematics.
00:42:03Sure.
00:42:04Yeah, like magical, medical, miracle, mathematical.
00:42:09Maybe.
00:42:10It runs very well, right?
00:42:11Okay.
00:42:12Yeah.
00:42:13Fine.
00:42:15Fine.
00:42:16Fine.
00:42:19Okay.
00:46:50Cheers.
00:46:57Yeah, in magical performance, like in X-File episode, Amazing Malini, right?
00:47:03Yeah, like, audience asks, like, how do you do that?
00:47:09Yeah, sifting out five and seven, and two over there as well.
00:47:19Okay.
00:47:20One of the two, okay, and then, but by mistake, introducing extra news, extra three, okay?
00:47:36Okay.
00:47:37Okay.
00:47:38Okay, okay.
00:47:41Okay.
00:47:41Okay.
00:47:42So then the merger had to sift it again, okay, to get two out and extra three out, second round, okay, okay.
00:47:56Uh-huh. Cheers.
00:48:12Yeah. For now I don't understand, so it's a mystery to me.
00:48:30But we'll continue to work on this tomorrow and then also maybe I'll do some stuff in my bedroom,
00:48:40like a pencil and paper and notebook.
00:48:46Yeah, because I'm intrigued.
00:48:52Very much so. Okay, how does this work?
00:48:56Magic.
00:49:00I'm intrigued. Yeah. Cheers.
00:49:10Uh-huh.
00:49:30Yeah.
00:49:32Yeah, I guess I'm kind of tired. Okay. So, uh, a little bit. A little bit drunk as well.
00:49:46So, uh, our kind and general friends in social media, uh, kind and generously, uh, called me a magician. Thank you.
00:49:56Yeah, maybe mathematics a little bit, just something a little bit, right?
00:50:00But also, also back in the days, like Instagram Live.
00:50:04Yeah, I have wonderful friends perform some magic card, playing card magic for us, okay?
00:50:10Yeah, very nice. Okay. Cheers. Yeah. Great.
00:50:16Yeah. Yeah, magicians. They are hard-working people, okay? To perform, to perfect their arts, right? There's a lot of work, labor behind it, okay?
00:50:28Me, as a mathematician, yeah, it's also a lot of work like this, okay?
00:50:44Yeah.
00:50:52Yeah.
00:51:00Yeah, like cell phone, internet, inventors, they work very hard to make that happen, right? Yeah. Cheers.
00:51:12Yeah.
00:51:18Yeah.
00:51:20Yeah.
00:51:25Yeah.
00:51:30Yeah.
00:51:33Yeah.
00:51:38Oh, oh, oh, oh.
00:51:40yeah let's put this behind us okay yeah and my voice is come shot okay so uh let's do
00:51:54maybe one more segment okay yeah before we wrap up for tonight uh time check
00:52:10it's been less than one hour okay uh five is broken yeah sure
00:52:19ah okay yeah i i'll uh i may sleep on this okay
00:52:27well yeah we definitely continue tomorrow
00:52:31mathematical magic
00:52:33interview
00:52:35okay
00:52:40oh
00:52:43you
00:52:45you
00:52:47you
00:52:49you
00:52:51you
00:52:58you
00:53:00you
00:53:02you
00:53:11you
00:53:13you
00:53:15you
00:53:17you
00:53:28you
00:53:30you
00:53:32you
00:53:34you
00:53:47you
00:53:49you
00:53:51you
00:54:04you
00:54:06you
00:54:08you
00:54:23you
00:54:25you
00:54:27you
00:54:42you
00:54:44you
00:54:46you
00:55:01you
00:55:03you
00:55:05you
00:55:06you
00:55:08you
00:55:10you
00:55:12you
00:55:14you
00:55:16you
00:55:17okay i guess i can make another yet another analogy like storytelling novel fiction literature
00:55:24yeah
00:55:25yeah it's like uh
00:55:27yeah it's like uh we look at the intersection okay and uh getting rid of all the other cramp
00:55:33factors that does not belong to this intersection so it's a exclusive club right yeah like uh
00:55:41like uh
00:55:42aesop's fable uh children's buried tale exclusive club so yeah you don't belong to us so get out of here
00:55:56yeah in the novel literature children's uh
00:55:58yeah in the novel literature children's uh uh
00:55:59children's uh
00:56:03stories
00:56:05like
00:56:06bedtime stories
00:56:08accounted by seniors
00:56:10yeah like animals plants inanimate objects
00:56:15they become like humanized
00:56:17personalized
00:56:18personalized
00:56:19okay
00:56:20yeah
00:56:21it's like anthropomorphism
00:56:22right
00:56:23yeah
00:56:24they talk
00:56:25they listen
00:56:26like humans
00:56:27okay
00:56:28and we do that in numbers
00:56:29in mathematics
00:56:30okay
00:56:31yeah
00:56:32this number seven number five
00:56:33yeah
00:56:34you don't belong here okay
00:56:35so
00:56:36please get out
00:56:37okay
00:56:38so
00:56:39and then
00:56:40uh
00:56:41tools
00:56:42yeah
00:56:43you have too many tools
00:56:44okay
00:56:45yeah
00:56:46like three tools
00:56:47okay
00:56:48get out
00:56:49okay
00:56:50yeah
00:56:53yeah
00:56:54bedding selection process
00:56:55okay
00:56:56for this exclusive
00:56:57club
00:56:58yeah
00:56:59it's come like that right
00:57:03cheers
00:57:04yeah
00:57:10okay
00:57:11yeah
00:57:12in farming
00:57:15yeah
00:57:16in farming practice
00:57:17sieving
00:57:18okay yeah
00:57:19we want grains
00:57:20edible
00:57:21grains
00:57:22not some rocks
00:57:23we cannot eat that
00:57:24okay
00:57:25so
00:57:26okay
00:57:27good
00:57:28plants
00:57:29in farming
00:57:30they grow on
00:57:31soil
00:57:32yeah
00:57:33darts
00:57:34we don't want that
00:57:35we don't want to eat darts
00:57:37we separate them out
00:57:38we just want grains
00:57:40edible
00:57:41plant seeds
00:57:43fruits
00:57:44fruits
00:57:45okay
00:57:46yeah
00:57:51here in mathematics
00:57:52we want
00:57:53greatest common divisors
00:57:55okay
00:57:56so we want
00:57:57intersection of
00:58:04common prime factors
00:58:07divisors
00:58:08that's common to these two input numbers
00:58:12okay
00:58:13yeah
00:58:14the prime factor
00:58:15divisors
00:58:20and prime numbers
00:58:25that's common to both of the two input numbers okay so
00:58:30all the others
00:58:33please exit
00:58:35let's be polite
00:58:37let's not say get out
00:58:38let's say yeah
00:58:39please exit
00:58:40maybe next time
00:58:42be polite and courteous
00:58:47okay
00:58:48yeah
00:58:49yeah
00:58:50and then there's this gate guard
00:58:59like you know
00:59:01dance club
00:59:02okay
00:59:03uh
00:59:04the
00:59:05bouncers
00:59:06okay
00:59:07yeah
00:59:08dress code
00:59:09yeah
00:59:10yeah
00:59:11dress code
00:59:12yes
00:59:13yeah
00:59:14you cannot come here like
00:59:15barefooted
00:59:16with sandals
00:59:17you need dress shoes
00:59:18okay
00:59:19no sneakers
00:59:20okay
00:59:21so
00:59:22enforcement of this
00:59:23strict dress code
00:59:24in upscale dance club
00:59:25okay
00:59:26bouncers
00:59:27okay
00:59:28so
00:59:29yeah
00:59:30i befriended many of them
00:59:31when i used to be a clubber
00:59:32okay
00:59:33cheers
00:59:35so
00:59:39the criteria
00:59:41right
00:59:42standard to meet
00:59:44to get into this exclusive
00:59:48upscale dance club
00:59:50okay
00:59:51yeah
00:59:52so
00:59:53that's the kind of a formula algorithm that we want to design
00:59:57yeah
00:59:58so it has to be efficient
01:00:00okay
01:00:01yeah
01:00:02constant time
01:00:04yeah
01:00:05i mean some dance clubs do the search
01:00:15no weapons okay
01:00:17so
01:00:18no contrabands
01:00:19okay
01:00:20so
01:00:21okay
01:00:22okay
01:00:23okay
01:00:24okay
01:00:25okay
01:00:26okay
01:00:27okay
01:00:28okay
01:00:29okay
01:00:30okay
01:00:31okay
01:00:32okay
01:00:33okay
01:00:34okay
01:00:38okay
01:00:39I
01:00:40didn't
01:00:53okay
01:00:54okay
01:00:55great
01:00:56okay
01:00:57okay
01:00:58I
01:01:00I
01:01:01I
01:01:02ah
01:01:11intuition hmm experience
01:01:20yeah like in kanji and philosophy before experience are priori after experience are
01:01:27pastoral right okay sure
01:01:33although i did disprove emmanuel can't a little bit in my past papers okay and past human series too
01:01:43but yeah i appreciate some part of that okay
01:01:54i'm tired
01:01:57yeah we are discussing even philosophy now okay so yeah connecting to that
01:02:03welcome to human school okay we are very knowledgeable diversity of academia arts
01:02:11performance okay
01:02:16uh it's been more than one now okay so maybe we'll do one more segment i guess until my voice lines
01:02:23okay okay okay okay okay interesting discussions in humanology oh yeah
01:02:43but in comparison in many different areas of the world yeah
01:02:57uh
01:03:03uh
01:03:04uh
01:03:06uh
01:03:07uh
01:05:43Okay.
01:05:44Yes.
01:05:52Okay.
01:05:53Okay.
01:05:54Yes.
01:05:55So I'm kind of wondering how this one rule operation managed to seep out.
01:06:05I mean, it's not like discrimination.
01:06:08Okay.
01:06:09Yeah.
01:06:10There is more like politics, ideology.
01:06:13Okay.
01:06:14But yeah, but discrimination in a good way.
01:06:18Okay.
01:06:19It's not about gender, race, age.
01:06:22No, it's just mathematics.
01:06:25We are not doing politics here.
01:06:27Okay.
01:06:28No ideology.
01:06:29Okay.
01:06:30Not even religion.
01:06:31Okay.
01:06:32It's just numbers.
01:06:33Okay.
01:06:34But how did it kind of call out unwanted elements like five and seven.
01:06:43Okay.
01:06:44So, they introduced an other element extra three.
01:06:49Why did it do that?
01:06:53I don't know.
01:06:54Interesting though.
01:06:57Mathematical storytelling.
01:07:00Okay.
01:07:01So, I think that's about it.
01:07:03Okay.
01:07:04So, because I'm kind of drunk and I had to eat some food.
01:07:07Okay.
01:07:08So, I'll see you tomorrow.
01:07:10Happy Friday.
01:07:11Okay.
01:07:12Okay.
01:07:13Yeah.
01:07:14My proud future leaders.
01:07:15Okay.
01:07:16Yeah.
01:07:17Okay.
01:07:19Yeah.
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