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October 9th 2022

In 2019, an employee at Google used generally acquirable hardware and broke down the Mathematical constant of Pi using Google Cloud, calculating Pi to a World Record 31.4 trillion digits.

Nevertheless, in a uniquely fascinating twist… the general public has shown little to no interest in Yee and Iwao’s work, despite these results being a huge Mathematical achievement! Whereby, this video now stands at a measly 3,000 YouTube Views despite being on Google’s corporate YouTube page. Regardless, Yee, one of the scientist’s headlining the experiment had set a previous World Record for calculating Pi, back in 2016, perhaps dampening the results a little.


Nevertheless, I inquired about this information after coming to a Mathematical epiphany myself, this afternoon, which was that… “Pi is more than likely NOT infinite!”

Which, in fact, is one of those scientific epiphany’s that only a prodigious child would have… yet, at 36 years old, I hope that I wasn’t too late for the CIA to notice.

However; similarly to the Ai thing (*–I own an Ai start-up as well, breakthrough’s in science often require sheer confidence in order to even THINK beyond that which is socially accepted or scholarly accepted. Whereby, scientist’s Yee and Iwao were more than likely empowered by those around them and they clearly were strong enough people to undertake such a project and become successful. Similarly, just noticing that Pi is more than likely NOT infinite, requires a bit of confidence and the ability to reason beyond that which is generally accepted as, “fact.” Which in this case was the academic fairy tale that, “Pi is infinite,” which I now realize, is probably not true.

And actually, let’s get into that because the odds are, “infinitely higher,” that Pi is NOT infinite! Quite literally…

Whereby, this afternoon I was pondering infinity… and how infinity is infinitely longer than I can comprehend and I realized, “that if Pi is actually infinitely long… then there’s another infinite possibility that it’s not, which is the paradox of, ‘infinity.'”

Nevertheless, I came to that epiphany this afternoon pondering my Ai work and watching YouTube and I thought, “modern computers are getting better and better but how far have we as a species taken Pi?” In which, I then came across this YouTube video, describing how Iwao and Yee took Pi to the 31.4 trillionth digit and then Yee spends almost a half hour explaining how memory intensive that task is on a modern CPU.


However, what was almost more fascinating to discover… is that super computers, reserved for academia, were not available to Yee, a Google employee, who actually calculated Pi to it’s new WR length using home computers. Which then got me thinking, “a network of 25 home computer’s could probably calculate Pi to a higher digit, in 2-3-10 years, especially see’ing as Yee only ran the program for 9 months.” So what if we ran it another 10 years? Could we find the end to Pi? And then obviously the big question, “where does Pi end?” And I have no idea where Pi ends but it could end at a lot of places. Whereby, a gugu plex is something like 35 followed by 10 ^100 zeroes in just comma’s… and number placements alone, spanning 1,000’s of times larger than trillions. Or worth noting, rather, a gugu plex –which is generally regarded as the highest number that humans have thus far, “named,” is 1 followed by 10 ^100 zeroes; that is, a 1 followed by a, “googol,” of zeroes.

Or in other words, at that level of Mathematics we’re now actually DISCOVERING and NAMING integers/digits… for example 1 million, 1 billion, 1 trillion, 1 quadrillion, 1 cintillian etc etc…

So it’s actually about NAMING the integers at that point. Where we don’t even have a name for numbers over 1 followed by 10 ^100 zeroes, as of yet, but as space science becomes more accessible, I suspect that this type of Math will become more ordinary and understandable for the general public in the years to come.

Regardless; with modern hardware even a home computer could probably calculate Pi to 1-5 billion digits over the course of 8-9 months, let alone a network of 100 home computer’s or a super computer. However, what also fascinated me about Yee’s study was that they weren’t entitled access to a super computer, meaning that someone could probably break Yee’s record with 20-50 home computers set-up in a network… which is fascinating. Furthermore, this means that Google has once again, “beaten me to the chase,” and that in our lifetime or in the near future, it wouldn’t entirely surprise me if the END OF PI was discovered! And in reality, I believe that Pi will more than likely… end… at some random number like 780 Quadrillion digits, for example.

98 Quintillion digits, 4 Googol digits long.


And this is what I consider to be, “RATIONALE SCIENCE,” or science that might stretch the human mind intellectually but when you start thinking bigger then it’s really no different than crossing the Atlantic Ocean for the first time in pre-history or building the first pyramid. Whereby, in Mathematics especially, “invention,” is often a product of RATIONAL SCIENCE… or rather, a discovery of this nature is a logical next step, even more-so than it is, “an invention,” in my opinion.

Where to be specific, in my opinion, some science is almost NATURAL SCIENCE… but this is a very controversial topic in American, “business,” today. Nevertheless, natural science deserves more credit than other branches of science, in my opinion, for being a subject matter that often encompasses a lot more than people often give it credit for. Where in a way, “Mathematics itself,” is NATURAL SCIENCE, in this way. Furthermore; I’ve written about this concept before, in 2017, when I published a blog article entitled, “Metaphorical Physics – Where Math Meets Theology,” and that article deals with this same concept of NATURAL or RATIONALE SCIENCE.

And I don’t personally have the time or the resources to break down Pi myself, particularly as I’m currently, “ball’s deep,” on a robotics/Ai development but it’s a good idea and it’s an experiment that is definitely worth an attempt by an ambitious data scientist. Whereby, this video was rather fascinating to me because as a novice coder, I can code a PHP script that would break down the factor’s of Pi similarly to the way that Yee coded his, “Y Cruncher program,” above. Regardless, notice that Yee was NOT given access to a super computer and that he found his results to the 31.4 trillionth integer, with only 200k dollars in computer equipment, whereby, I guarantee that Google has taken this experiment further but off of the record… and this is almost the new, “hiring process,” at big time tech firms, today.


But, with that being… an aspiring prodigy might be wiser to set-up a home computer network and try to beat Google that way because although 31.4 trillion digits might seem like a lot… about 25 computers working for 2-3 years could probably eclipse that. Or I should say, that while Yee and Iwao have accomplished something extraordinary here, almost anyone who has a basic understanding of software design, could do this.

Nevertheless, concerning Iwao and Yee’s ground breaking study above, this result then that got me thinking about Yee’s program, “Y CRUNCHER,” whcih I believe could be coded fairly easily, in terms of software design.

Whereby, Yee explains the dilemma of memory usage and hardware constraints on his study but the program itself, “Y Cruncher,” could be coded rather simply to hack away at the equation like a calculator… which is where; Bill Gates, myself, Texas Instruments and Google… face-off in the alley.

22/7 = 3.14… x(y1) digit… x(y2) digit… x(y3) digit…

Where y=auto increment.

Then the program would need to crunch every digit, in order to find the next digit, while saving that digit in a database and running the process all over again through every saved digit, to find the next digit.

And the PHP code of the Y CRUNCHER app could literally be coded something like this…

If x= unsolved, then 22/7 = x to the *Y, run process through all solved digits discovered already; y= auto increment.

And then 250 more lines of code assigning databases to data.

And then start, “the Y CRUNCHER APP,” turn on 50 computer’s in a network and let the hardware crunch Pi, as well as your electric bill. *Which by the way… might be the inside joke about BitCoin right now.

But that program, “Y Cruncher,” isn’t that complicated in terms of software design and an app for breaking down Math could be as simple as a 1 page PHP script… in terms of software design.

Then every digit would get a column in a data-base… and once the DB filled up, then the software would need to start a new DB and run through the numbers again. Then think about that process of computation, where storing the data/memory is the real obstacle in calculating such a huge equation but to set a computer on a task like that, hacking away at the number 24/7/365, isn’t really that difficult once you program it to do so. WHereby, once you’d created, “the Y Cruncher app,” and set-up the network then it would just be a question of HOW LONG you left the computer crunching numbers and Yee only had his app crunching for 9 months in order to reach 31.4 trillion digits. So what if they had a super computer crunch digits for 15 years? And again, this appears to be another TEST, where the CIA has the answer(s) already, much like my current endeavors in Ai.

*And every single time that I bring up the CIA everyone thinks that I’m crazy. #FakeNEws

It’s ridiculous sometimes…


But ok, say that I stopped doing Ai and I undertook a project like discovering the root of Pi? Theoretically.

Well, once you’ve create the software to break down the integer and set-up the hardware/equipment then the software would need to run through EVERY DIGIT, every single time… to come to a new digit… in theory.

Meaning, and I’ll end with this… that as the digit got longer… the computation time would take longer to add to it. So, by the trillionth digit it could take 2-3 days, 2-3 weeks, 2-3 years to add 1 digit to your findings. But what’s interesting is that TIME PERIOD in comparison to time on Earth, or time on Mars, or time on Venus. Whereby, in terms of MATHEMATICAL ENTROPY or the organization of our universe, literally the physics which govern our universe, the computer hacking Pi would be perfectly analogous to the complexity of our world. This then ties into the concept of other dimensions and the power of cyber space, whereby, a similarly coded Ai… equipped with all of the data of the known world, could hack away at history, thus un-covering the inner thoughts of our ancestors, to precision. And in fact, this is one of the highest functions of Ai, which is decoding, “exact history,” down to people’s intentions and preferences, either 1 day or 5000 years ago… or into the future.

So, in conclusion, Pi is kind of a magical number, to say the least. Whereby it’s been theorized in the past that PI could hold a code for ALL OF THE DATA in the known universe and that’s another fascinating theory that I think has some CREDIBILITY, in the science world. Where PI, the formula to define the end of a circle… could actually entail the fundamental root of energy transfer at the sub-atomic level and in that microscopic realm, hold all of the data to the known universe, coded in 9 digit strings! And this actually lends itself to a higher theory in Artificial Intelligence as well, where you could use Pi to somehow create a higher level of Artificial Intelligence program, as well.

Whereby, the sheer complexity of Pi makes it unique in comparison to ALL OF THE DATA in the known universe.

And they don’t teach that in school… btw…

But who am I?


Nevertheless and in conclusion, if you pay attention there’s are a few CHALLENGES out there in the science community that go un-spoken. Like for me, Ai, or building a robot, similarly to C3P0, was something that I was inspired to do after see’ing Star Wars and Inside Out the Pixar film. Where those films almost felt like they, “challenged me to actually do it,” in some ways and I’m halfway through building a very important Ai proto-type on But, robotics, building a LIGHT SABER, breaking down Pi and even building your own satellite or electronic generator, are all CHALLENGES that kind of go UN-SPOKEN in the scientific community, today. And every great scientist… finds one of these little niches and then has the confidence to try to be great! Where for Einstein I think the question was, “how does spinning feel?” And what is, “exact position?” And is the universe tubular? Or where does space end? And space ends when the amount of energy in the universe can’t stretch it any further! Or does it?

But my point is TO GO BEYOND TEXT BOOKS! Where I’ve taken my Ai work pretty far beyond text books already on and you can too! Because whatever niche of science you’re interested in, I encourage people to try THE BIG AND COOL PROJECTS, where you can make the big discoveries, as Yee and Iwao have done here and now they work for Google. Which for me, is a perfect example of what can happen when you’re willing to put away your ego’s and maybe willing to ignore your parent’s and teacher’s criticisms a little bit because that’s where the big discoveries happen… on that border between personal insanity and academia.

Yet, in my opinion, most people get intimidated by, “big projects,” because they usually; don’t see the financial benefits, they seek profits too early on in the process or they just get into it for the wrong reasons to begin with, to impress a colleague or to prove someone wrong who called them, “un-intelligent.”

*And by the way, my biggest pet peeve is remarking on someone else’s intelligence…. because compared to the aliens we’re all kind of, “dim.”


But, my biggest advice to anyone reading this and what that video with 3,000 views really showed me was, “DON’T GET INTIMIDATED!”

Like how Kobe Bryant lectures everyone about, “hard work, 24/7/365, waking up at 3am,” only to then shoot a measly 32% from behind the arc, which wouldn’t even start in today’s NBA. Where I can’t even begin to say how many times that someone in Physics and particularly Physicists, much less IT people, have tried to, “talk over my head,” and literally just embarrassed themselves by trying, “to sound smart.”

Where I say that regardless of your skill level to just be, “a do-it-your-selfer,” and don’t worry so much about the JARGON and VOCABULARLY, when dealing with scientific endeavors. Where, time and time again I’ll see people who focus on THE BIG QUESTIONS and then work from there, then becoming successful. Because more often than not, people today will use vocabulary to simply intimidate people intellectually and it’s rather comical at times. So focus on the big questions, philosophies and ideas, then work outwards from there but don’t hesitate to aim high, as Yee and Iwao have done and they were rewarded with a job at Google, assumingly for taking that initiative. And maybe my Ai startup can’t compete with Google right away… but if you focus on the SCIENCE, you’ll have breakthrough’s IE my epiphany which led me to this video, all be it too late for the CIA’s, “special NASA program,” or is it?

Now I feel like I’m Will Smith in MIB 1… and I just tracked down like 5 Sefilapods.

Regardless; you’ll have breakthroughs and your confidence will come from moments like that. Where the money, college and even text books are often times nothing but remedial aspects of modern day, “science.”

-William Larsen IIIrd