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May 29, 2024 - Project Camelot
01:59:20
JOHN SCOTT PEREZ: SCIENTIST : AI CODING DNA
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Time Text
Thank you.
Thank you.
Hi everyone, I'm Carrie Cassidy from Project Camelot and very happy to be here today.
So I have Scott Perez, a scientist with me, and he can explain more about his background.
I've actually interviewed him a few times.
We've been on some shows together discussing some of what we're going to talk about today, but maybe today we'll go into more detail.
So it's great to have you here, Scott.
And we've been having behind the scenes discussions and whatnot.
So let me put the banner up here on the on the show, just because this is a live show.
And that way, we'll sort of identify it here.
Is that working?
Yeah, in theory, that's working.
Right.
Okay, so hopefully, that's People can see that and then I'll stop sharing that.
Just to identify the show, it's good to have a raw, because this is raw video, it's just in action, and then later I clean it up and put it out again on Rumble, and it's on my YouTube channel right now, which is a relatively new YouTube channel, and so on.
Anyway, here we are.
So Scott, can you give yourself a good introduction so that people can understand your scientific background especially, so put some emphasis on that so that the things that we're talking about can be understood in those terms.
Sure.
So My name is John S. Perez.
I live in Tampa, Florida.
It's blistering hot right now.
Anyway, I was born and raised here, but I grew up playing video games back in... I was born in 68, so in the 70s, it was Atari and video games, right?
And I became interested in video games and computers, and I started in 1980 with the Atari 800 writing in GW Basic, which was the first language that Microsoft developed.
So I got into computers that way, and I was into sports, of course.
Baseball was quite a big deal with me, but I chose to be pre-med first, and I was a biology major, and I changed my major.
I was playing baseball in the SEC Division I at Mercer University.
And I was trying to be pre-med.
Those two things are very difficult.
So I had to give one up.
And at the time, I was a sophomore at Mercer and a friend of mine who was going to Plano High School had type 1 gestational diabetes and died in a car accident.
And we buried my friend, my friend, my other friends and I, we buried him.
That was Paul Bearer.
And at that time I was kind of, you know, reflecting on life and going through these changes as a young adult.
And I talked to a friend of mine's dad.
His name is Dr. Alejandro De Quesada.
He's one of the founders of Gatorade.
Okay.
He was a very intelligent man.
University of Florida, went to University of Havana, came to the United States.
And I talked to him and I said, Dr. De Quesada, I'm thinking about changing from pre-med and going in to chemistry to do research.
Because I felt like I could make a change in the world that way.
Not just because Mike Anderson, our friend, had just died, but because I had all these relatives that were getting sick and they were dying.
I was a young adult and I didn't really feel that I could make a change in the medical that would be a big deal.
So, All this time I'm using computers why shift to chemistry and when I went into chemistry Things got a little bit more complex.
We're talking about using instrumentation we're talking about Classes now that you have to use computers in order to to pass the classes to do the labs to do everything so That's when I started evolving from, hey, I'm just want to play video games into I got to do these things or I'm going to fail.
And I hung up my cleats.
Of course, I was still playing softball, intramural.
And in my fraternity, I was SAE at Mercer.
But anyway, I changed.
So I went in that direction.
And I Of course co-op with AudioBox, right?
Which is a well-known company in the United States making chemical solutions and cleaning solutions for them.
But I also did a huge amount of computer programming for them and the affiliated company that was in the marine business.
So I started picking up Languages, all of the technologies, Lotus 1, 2, 3, started with the beginning of Windows, went through just about every version.
And that propelled me along with Dr. Hargrove, who is a Captain Level 6 Full Bird, Ollie North Level, my mentor.
Expert in chemical warfare weapons at Mercer.
Okay.
Former U.S. Navy, along with Dr. Crawford, former U.S. Army, and several other professors there, including Leslie Garland, whose father's Carl Garland from MIT, who taught me physical chemistry and quantum mechanics, one of those who taught me physical chemistry and quantum mechanics, one of those That propelled me to get a full ride to University of Nebraska-Lincoln.
And when I got there, I went into the doctoral program in chemistry.
I did research in cancer and aging.
And I built an NIH facility there, a core facility for computing and publishing and handling data for publications and analytics in this area of chemistry and biochemistry and molecular genetics.
So, when you go into graduate school, you're in an umbrella in chemistry, but you branch into a very specific area.
Mine was Biochemistry and under that was molecular genetics so heavy heavy computing Was used and I introduced it and helped build that in this laboratory We had a major presence on the internet at the time.
We were one of the four largest, four Archie servers in the world for information.
GenBank version one was created at that time, okay?
So GenBank holds all the genes.
It was a tool to analyze genes, right?
Well, my doctoral committee was a crystallographer who had immense computing power, okay?
Silicon graphics, computing power with three-dimensional analytics.
So you've got eight knobs.
You've got 3D goggles.
You're looking at molecules and crystallography. format.
$4 million four circle diffractometer to get crystal structure information and then tons of computing power behind that.
So that started at the same time I was doing that, I was a consultant for JC Bradford, a gentleman by the name of Douglas C. Carper.
At the same time I'm doing this, this is my little side job, These people had a seat on the New York Stock Exchange, Chicago Mercantile Exchange, and the San Francisco Exchange.
So the things that we take for granted now, like The trading platforms and all of that that are available to us, like Thinkorswim or E-Trade or any of these things, these people were doing that then, live, when nobody else was.
They had live feeds, they had traces back to 1958, and they had The Carte Blanche technology.
So I had a balance of a little bit of Wall Street in me at the same time as the science stuff.
And I was like, wow, there's a lot of money over here.
I better educate myself.
And so I got computing on both sides.
And I kind of went through.
Well, Went through all of that and cancer and aging research allowed me to not only interact with but compete with Nobel laureates.
So you're working at the cutting edge of science with computers and You're working with some of the best talent, but you, you know, you learn from them and, and, you know, you compete with them, but when you have friction, it's with some of the best people.
So, you know, it's a challenge anyway, when I left there at the time, I came back to Tampa, Florida and, um, You know, there were not a lot of jobs in chemistry.
I did some analytical chemistry.
I worked in the oil business in the port here.
I wrote almost all the software for Amelie Motor Oil.
Their name's on the arena.
Four Arabs own the company.
Um, and, and then, and then I was like, you know, I need, I've gone through all the school.
I need to make some money.
I, uh, I was hired by the CIA, of course, in a hotel room and I, That helped me to then evolve my career computer-wise when I was hired by the team under John Deutch that was building the encryption for the United States military, including NIST, the common criteria encryption that's in theater today.
So those interactions With people from Brookhaven National Laboratory, coders, Eva Bozoki, Aaron Friedman, who's, you know, Israeli Special Forces and then meeting people all over the place.
Like Phil Zimmerman who created PGP Encryption, Bruce Schneier, just everybody you can imagine and the experiences of working with people in the field at Norfolk and NATO and all of it, right?
So, I took all the coding I was doing at the oil plant, I came there, I wrote part of their business infrastructure, I became a product, Can you tell us a little bit about hacking?
these products and helping build technology.
We had something called the Living Lab.
And there were other hackers that came into this.
So part of my job interview was, can you tell us a little bit about hacking or do you know anything about hacking or wearers?
And I told them how to hack Sierra online games.
And so then the phone rang and I didn't know there were people watching me from the room next door.
Anyway, when you put a lot of hackers together in a living lab, a lot of things come out, right?
So we had fun hacking each other, learning how to hack, and then we built a security to protect against these hacks.
And put it into the operating system of the technology that we were not only commercially selling, but through the black project into the military and the government.
And we were the first people to pass encrypted video through NATO and all that.
So I was evolving in there.
That was a startup.
And I didn't really understand that there was a lot of money there because of the black projects.
They have money driving it, but it didn't appear that way to me.
And again, I was trying to build my career.
That company eventually got bought by General Dynamics, but I instead, I went, I left there because I wanted to, again, evolve my career and do more product work.
So, I ended up going into Intermediate Communications, NSA, former NSA contractors brought me in there.
I didn't understand entirely what was there in terms of the United States military presence in the phone companies and all of that.
That evolved into being bought by WorldCom and Verizon.
And all along the way, I'm learning new languages, new techniques and languages.
We're talking about surveillance systems that I built that monitor global data networks, okay?
Like the fourth largest frame relay in the network in the world.
9-11, all of EmpireNet in New York, and then of course later, global data networks encompass and span the entire globe, frame relay and ATM, IP.
Okay, now let me ask a couple questions.
So when you were doing that, were you dealing with satellites as well?
Programming satellites?
Okay.
I didn't program satellites.
I didn't.
Okay.
We went, as you know, you were born in Moffett Field.
So I told you, I, you know, when I was working in the black company that got bought by General Dynamics, I went to Moffett Field and we talked to them about encrypting the satellites because they were being hacked.
That was prior to that.
After that, satellites in the telco company, they're all over the place.
So the thing with the satellites is backhaul.
So backhaul requires fiber build out in order to get high bandwidth.
And so what, there was a company called AboveNet.
But there's several other companies and what they do is they provide you Uplink.
They provide you Uplink.
But what was your, you know, role relation and, you know, you're saying you're sort of describing a playing field, but what was your role exactly related to this particular area?
And was this still the NSA or was this another organization?
I was hired into the phone company as a civilian, with a background.
As things progress, and you go through mergers, you get bought by Verizon, okay?
And the next thing you find yourself, you've got a global, a huge, and I mean it's a huge, It's Cisco network that is carrying large chunks of the internet, right?
I mean, you know, Xerox, you know, Xerox had a special division that was inventing all kinds of stuff.
Do you know about that division?
I forget what they were called, but they had a.
All of these companies.
Yeah, so you're talking about working in one of those kind of divisions in the phone company type, right?
I did exactly that for Dave Rueberg, but in Verizon, the problem with these companies are they typically rely on vendors for innovation.
Okay.
These big carriers, they don't do a lot of ground up startup stuff.
So it's very challenging to be inside the company.
That's what Viewspan was for Dave Rueberg and Intermedia that watched Empire Net and the Towers and all of that.
That was a startup inside the company.
In Verizon, the situation was a little bit different.
It's such a big task to build these things that the advances are in service providing and automation and tracking and servicing.
So vendors like Cisco, Silicon Valley is where most that happens where you are.
What you're describing, because I'm trying to make our way to the manipulation of DNA and RNA and so and so forth, and you seem to have taken a departure into like regular computing or whatever you want to call that, as you say, and I don't see how your job at Verizon relates to anything that you're sort of talking about now.
Okay, well let me help you.
So, when you build these giant networks, right?
There's no way that you're going to hire enough humans to do all the work.
It's a lot of man hours, okay?
You have to build systems to automate it, survey it, alarm, monitor, everything.
So you're talking about AI systems?
Right.
So there's a huge amount of computing, all right?
So in the beginning of this, the beginning of the discussion is computing and AI.
How does that, how do I, how, what's my background there, right?
So I code in like 35 plus languages right that what I just described to you is about 20 years or a little bit over 20 years but um over 40 years of coding but 20 years of very intensive coding so when when you write
Computer programs and you compile them and you put them on a computer like we're talking on now.
It's in binary language 0 and 1, right?
It's just a language.
When you go into business with technology and global networks, okay, you have to build artificial intelligence.
to monitor and tell you and control everything on these giant networks, right?
You have to build it or in your business, right?
We're talking about a $240 billion business.
So the intensive level of building surveillance on these networks, okay, it is at the cutting edge of the vendor being able to supply you the computing hardware, right?
Right.
So our systems that we're using, you know, we're talking millions of dollars here, just, just a nine.
That's kind of beside the point.
So what I'm trying to say is, so you're coming in as a, basically a black project scientist, you're being.
This is my reworking of what you're trying to say, but you're being loaned out to this very large corporation to help them with a certain aspect of their business because it's maybe financially advantageous to both parties, which one party is the military-industrial
complex but it's very much emphasis on the military and you're talking about again the NSA and before that CIA and then going way back you're talking about you you were working with um you know petri dishes and things I mean sounded like right and you're looking at cells and all this so somewhere along the line I'm not sure how.
You seem to have merged your understanding of biochemistry and computing into and then also programming AI so that you were able to also to manipulate DNA.
Now where does the manipulation of the DNA and your abilities in that way, the coding of DNA as you call it, where did that come in?
Okay, so when I was in Lincoln, Nebraska, okay, and I've kind of seesawed back and forth between these two subject areas.
When I was in Lincoln, Nebraska, I cloned three genes, okay?
The recombinant DNA work of cloning require, at the time, requires you, okay, in order to do that, clone them and then express proteins, okay?
You are manipulating beings.
So the platform that I used was E. coli and it was ciliates.
Okay, so you have to be able to manipulate the codes in order to achieve your goals.
And the first gene that I went after, okay, I didn't know that five people had gone after this and failed and were kicked out of school.
I had no idea, right?
Because the chairman, Dr. Pil Soon Song, was a Samsung fellow bringing in Koreans, right?
Well, they didn't solve this problem.
So I had a lot, you have failure.
First thing they teach you is you're gonna have failure.
Okay, I had failure.
Part of that is learning the technologies and the methods.
It is not easy to work with DNA.
To work with RNA is extremely difficult, right?
So I'm after a one kilobase gene.
Well, in the species that we were looking at as a Platform to do the research each gene was one chromosome Okay, so I was out for one kilobase chromosome.
What I did was I invented a chemical reaction to do that, to replicate, I'm sorry, to replicate that chromosome because it was so faint and detectable that nobody could work and find the gene. to replicate that chromosome because it was so faint and It was a beta telomere binding protein component that we were after, okay?
So those people failed because they weren't able to do Southern blots with radioactive isotopes and then use restriction enzymes to cut it and fingerprint it.
So, Tom Cech, the 1989 Nobel Laureate, had identified a beta-telomere binding protein in an organism called Oxytricha.
We were working in Euplodes.
I was after the 1.0 gene in that.
We're looking at relationships.
And so what I did was, I, Kerry Mullis had been in PCR.
We had the first PCR machine in the laboratory.
My professor... Right, but it seems PCR is pretty, you know, was pretty useless.
No, no, it's not.
So let me explain.
So, so, The oligo lab, I made a polymer, okay?
It's an oligo.
I designed the code of it, right?
I designed the code of the oligo.
One primer, okay?
And I can show you these images.
One primer, okay?
You have a chromosome and it's two strands, right?
And they have three prime overhangs.
When they replicate, you have a, When you do a PCR, it requires two primers.
So Kerry Mullis had been in a PCR with two primers, right?
David Gelfand, the guy that isolated Taq polymerase to do the work, okay, came to Nebraska during this.
He helped me.
One primer on each end.
It's the same primer replicating both strands.
You see that?
One primer.
I invented that.
I don't copyright of it.
Carey Mullis never invented it.
Yes, he got Nobel Prize for, you know, PCR and all that.
He never invented this one.
Because David Gelfand came and I talked to David and my, the reaction that I was using had higher magnesium concentration.
Because the Taq polymerase, the enzyme, okay...
With these unusual PCRs and these unusual structures at the end of the chromosome, okay, it wasn't normal for the plum race to deal with that and they need a higher concentration of magnesium to complete the reaction.
There was a lot of trial and error that went on with the decoding of these oligos.
So, in binary math, you have zero and one, right?
In DNA, It's G-A-C-T.
But if you think of it in terms of computer languages, it's really 0, 1, 2, and 3.
There's four bits.
There's four bits.
So, I coded that.
In order to successfully replicate a chromosome.
So I, I am the inventor of the synthetic replication of chromosomes on this planet.
I'm the inventor of it.
Period.
Okay.
Synthetic, meaning not carbon based?
Means that I can pluck a chromosome.
I could, okay.
I can take one cell from you off your coffee cup.
Off your skin, off your cheek, whatever.
And I can replicate your chromosomes, all of them.
Crazier than that is I can replicate them and put them in a crime scene and CSI can't tell whether you were there or not.
That's the technology that I created.
The reason I created it was for scientific research in cancer.
And so when I replicated the copies, the copies in that organism in the ciliate were so low that we weren't able to use well-known methods in the lab like Southern Blot, okay, a Southern Blot to identify the gene and do the work.
Okay, but I'm concerned this is getting too technical for my audience.
So what I want to do is bring this into more of a conversational setting to where we can actually talk in a language that the average viewer can relate to.
I've got some nice whiteboard images to share with you to bring it down to that level.
But for the record, when you design these primers, okay, part of the primer design and the reaction, okay, is I write the code for that.
So what, what I, when you're, when you're writing code and a computer code, you use a keyboard and using characters.
When you write code for DNA, You're using software programs to help you understand the thermodynamics of it, the probability of it succeeding, and then you have failure.
So you kind of, you've got to do some trial and error to get things to work.
Okay.
And then what restriction enzymes are, they, they recognize sequences like CRISPR.
They recognize a sequence and they cleave it.
Okay, so instead of I'm writing with a keyboard with a code, I use a restriction enzyme to cut it and then I come back.
That sounds a lot like film editing, like in the old days.
Yes, it is.
It's exactly like that.
So in film editing, you've got the frames and you're putting them together.
It's hands-on.
It's hands-on.
Yes, it's hands-on, both cases.
And so the problem...
Now, I want to segue, okay, before you get into any more detail.
I want to segue from there, because what we're really trying to talk about is, what is AI?
And how different is AI from the human genome and this idea that our DNA can be cut and spliced and reconfigured?
To create, whether it's a clone or just a duplicate human or change the human itself or whatever, because you're talking about, you know, this is even the title of our exercise here is, you know, discussion is DNA coded AI.
So trying to focus on that.
When I was in graduate school doing that work, I was coding beings.
In other words, I took a being that was E. coli and I added DNA code to it and I made it what I wanted it to be in order to express a very specific protein that was a nanomachine that did nanomachine work.
Okay.
And that nanomachine work was relative to cancer and aging, right?
So I wanted to characterize that nanomachine as a chemist and a physical chemist doing a lot of physics.
I wanted to, I wanted to basically characterize it.
What is its geometry?
What is this machine?
What are the mechanics of the machine?
What is a function?
What does it look like?
You know, Well, meaning, like, because it's a machine, so it can actually, you know, go in and change something.
It does work.
Is that what you mean?
It has a role in the operating system of a cell.
Yes.
Okay.
It's a machine, just like a screwdriver, a backhoe, a truck, a tractor, any of that.
Right.
So, so now I actually want to jump to this idea that, because we have this ongoing discussion, right?
Where?
There's the environmental interpretation of, I don't know, life and disease and all this stuff, and is something a virus or isn't it a virus?
It seems more like a pathogen.
It seems to be a word that both sides can agree on, but what is a pathogen?
And you end up talking about, at least to me, that I understood, Was you're basically talking about, again, nanomachines, that the things that were in COVID were nanomachines that were created.
Is that correct?
Yes, and I've got, well, I've got, of course, I've got a whiteboard and I've got some real world examples.
If you want to show that, go ahead, you know, but I mean, you have it right now, right?
We can talk about them and go there.
It might be easier.
Well, These pictures are easier to comprehend than me just spewing out technical mumbo-jumbo and you know.
All right, go ahead, share your screen.
You know what I'm saying?
You have the ability to share your screen, right?
Yeah, I do.
Okay, so whiteboard is good and then we can talk through some of the So, but the bottom line here is like, what you're talking about is creating clones, changing cells, and remember David Adair said that what they had was something that went in that was silicon based.
I've got a nice demo picture for that as well.
silicon-based and then took over the cell and created what was a carbon-based cell into a silicon-based cell, if I understand the technology.
I've got a nice demo picture for that as well.
Let me see.
And I want people to understand this is what we're talking.
We're talking about a transhuman agenda, but it's actually called transhuman.
But by the way you talk about it, it actually sounds like this bridge between, again, silicon-based life forms, if you want to call them life forms, and carbon-based life forms is actually, they're connected.
Right.
Right?
In the end.
Yeah.
It's like, it's not just a bridge, but it's where they can actually interact.
There's a space where they can interact from.
Can you see the screen now?
I can see, well, it's white, just plain.
Okay.
What you can see, I can see, so.
Okay, so I've got some stuff here.
I've got some really...
nice things to to go through and and then well you know because if in the end let me let me just say and you know correct me if I'm wrong but if we're in the end we're just talking about nanomachines which are very very small again what they're made of I guess is either they're silicon-based or carbon-based if I understand it, right?
Right, right.
Let's start here though.
Computer AI.
So this is just a simple diagram to show you what binary computer AI is.
and where the foundation of it is it's it's a electronic piece of hardware has cpu and ram on top of that you build something called a kernel okay the kernel is basically part of the operating system it does the maintenance In there you have shelves and you have applications or apps.
Sometimes we call these demons.
And utilities that do things like move files and whatnot.
That's a human created operating system that's binary, right?
It's a simple laid out diagram, right?
That's human created.
Any questions on that?
No, not yet.
I mean, I want to see what, so what's AI created?
Okay.
So I can write, I can write all kinds of programs, right?
I can write all kinds of, of different programs to do different things.
And I can, in AI... - Okay, let me explain to the audience one thing.
So Cyrus Parsis said that the so-called COVID
Which, you know, Dr. Robert Young says there is no virus, but there is these nanomachines, and these nanomachines were created by an AI, and the coding for it was translated through a computer to our scientists at, let's say, Fort Detrick or wherever else it was, and then they took the direction and they created these, in essence, nanomachines that were then
Would they be referred to as pathogens or something?
Were they sprayed on the population?
You know, I mean, you have to get into this through line, right?
We're going to get in that area.
I'm just in the beginning showing you that, look, the people that do AI, they are training the machines to learn, right?
And these are the five groups that have been identified.
These are the groups that this is what they call them.
They they are.
Their origin is from these different areas, okay?
Some are psychology people, some are statistics people.
These are the people that are, they're writing the software and teaching the machines to learn, right?
And some of these are in genetic programming.
See that?
That was me.
That's what I was doing in Lincoln, right?
There, I was in that group.
But when I went to the phone company, I was doing all the statistical and logical stuff.
And then I also did neuroscience with BCI.
And so that is how...
Yeah, but you're talking about the human-derived AI.
And I am not actually talking about the human-derived AI.
I'm talking about the alien-derived AI that comes to our planet through certain life forms, one of which is You know, generally known as the gray ETs, some of which are just biological, basically little walking computers, you know, entities.
Yeah, so the C-cum-based thing that you've talked about with David Darer, I have that right here.
It's very easy to understand, okay?
So where does this come from in reality and all of it, not just machines, okay?
This is a carbon atom.
It has four bonds.
It's called tetrahedral.
This is a silicon.
It also can have four bonds as tetrahedral.
So what happens is there's been a postulation in science That you can have a carbon-based life form like on planet Earth, or you can have a silicon-based life form that takes on similar mechanical functions as human beings.
Whether that's in a robot, Or whether or not that's derived from solid state into machine states like human beings with machines that are moving, that may have a different kind of skin that's not carbon, that's translucent, right?
You know, you can see through, you can see through silicon, you don't see through carbon.
X-rays, you know, they absorb bicarbonate, so that is where the origins of that come from.
Okay, well let me ask you this, because it relates also to this idea of silicon-based, and I see this is like the most basic Two kinds, carbon and silicon.
But if you're looking at, on any planet, especially this planet specifically, we can say that there are caves full of crystals.
And those crystals are silicon-based, correct?
They're crystals of all types of different materials.
And they're not just silicon-based.
Like, well, the emerald tablets are emerald.
It's not.
Okay, but it's silicon.
If you bring it down to this level, aren't we just talking?
Is it silicon versus carbon or not?
Well, no, no, my point here was, okay, my point here is DNA is based on carbon and the molecules GACT are four bits.
Okay.
And, and so, That's David Dare's piece and the Translucent piece.
What I was going to show you was here.
Here's a carbon-based life form.
Okay, let's pick this one.
And then this is why it's good to have these images to talk about these things with your audience and you.
Okay, look.
But also, okay, so.
Okay, so is that a cell or not?
That's a cell, but the important thing is DNA is a four-bit code.
So there's four bits.
Binary is two bits.
DNA is four bits.
All right, but Instead of having zeros and ones being sent to a processor, these cells don't work that way.
This is the core.
So here you have a translation into RNA.
RNA is a processor instruction set.
Okay?
It's a processor instruction set.
So In a solid state computer, you're sending instruction sets to a CPU, right?
And binary, zero, one.
In RNA, it's four bits.
And you're sending it, the machines are proteins that are making other, they're nanomachines that are making other nanomachines.
And this takes place on the ribosome.
So, You've got nanomachines, right?
They're proteins making these proteins.
These are 21 bits, okay?
The protein is 21 bits.
The mRNA is 4 bits.
DNA is 4 bits.
This is the mechanism of computing.
This is like a computer.
This is an operating system.
Does that make sense?
Okay, but...
Where is the distinction again between, again, silicon and carbon in that model?
Okay, so in this model, this is carbon.
I'm just talking carbon right now.
DNA is carbon.
All right, so DNA is carbon.
It's four bits, okay?
That's all it is.
Okay.
Four bits.
So if I add two bits and two bits, what I have four bits, right?
Okay, but let's say you don't want, okay, you're saying DNA is carbon.
What is the same thing for a robot as our DNA?
Well, at the current moment, robotics, as far as we know, And their origin derives from zeros and ones and machine learning.
So you, the machines that we create today as humans, we have to teach the machines.
I think that's you're going way back to like you're going to that's a remedial level that I'm not trying to talk about that I'm trying to talk about something much more advanced like Battlestar Galactica where you have what we would interpret as beings that look and act For all intents and purposes, human, which is what we actually do have walking around on planet Earth right now.
Right, yes, you've jumped a little bit forward.
I want to do that, because I want you to explain, so between us and a robot, what is the difference?
And is the difference these nanomachines, and are the nanomachines, depending on how they're configured, There's no DNA for a robot, so to speak, or a clone, right?
There's no difference in terms of logic.
Okay.
The difference has to do with the materials, how it's powered and the, whether it's mechanical, Or so there are different states and silicon.
The computers are solid state.
It means everything is solid.
This this particular operating system I show you here.
There's solids and liquids.
Both so there to their there's interaction.
There's just there's it's.
Yeah, I mean, I think that, you know, one person in the chat here is saying source code.
In a sense, that's the wording I'm looking for.
We're really looking for the source code of a robotic clone, or what you might call an android.
Yeah, the source code in a human operating system is a chromosome.
It's actually 23 chromosomes from your mother and 23 chromosomes from your father.
What is a chromosome?
Is that DNA?
Isn't DNA a pattern?
That is bound up DNA.
So that's my area of expertise.
That chromosome has your identity of whom you are, and then all your genes as a human being.
Okay, now tell me the story for the robot, or the clone android, whatever you want to call it.
Right, well... What's the building blocks for that?
A software code in zeros and ones, it doesn't have any chromosomes, and they're not self-replicating.
The operating system chromosomes are self-replicating.
All of the information can self-replicate itself.
The whole entire thing can divide and replicate, and it can do it very rapidly, all right?
And with the human, our DNA and our chromosomes can't do that?
No, no, that's with a human.
With a robot, you've written it in zeros and ones, and it doesn't have sentient... Well, maybe it does, though.
This is what we're trying to get at eventually.
Well, let's... You know, let's just talk a little bit more... No, I've got a good slide for that, because it's... No, I've got one for you.
I'm talking on a little bit more esoteric.
It's right here.
It's going to show you, okay, so here's, these are the, I said we were going to do real- You know, we're talking about the ghost in the machine.
When is, you know, because robots begin with mimicry.
It's all about mimicking, okay?
But when do you cross over from mimicry to actual, you know, sentience, I guess is the word.
What you're getting at is called the six paradigm.
Okay.
So this curve, this curve goes back to 1900.
This is computer technology.
It started with punch cards, right?
Went all the way through from, you know, electrical switches, tubes, vacuum tubes, a transistor, the integrated circuit, right?
Moore's laws right here.
Well, this diagram is from when I was in Verizon in 2013.
Right?
And what you're talking about with in silica evolving into sentient consciousness like a human being in DNA code is what I call the sixth paradigm.
Okay?
And you see how these are neurons but there are processors.
in them, right?
So this was postulated then to be occurring in this time period as we headed towards 2045, the Kurzweilian singularity of man and machine.
But we've already achieved that, you know that, especially if you worked in black projects, you know that.
Absolutely.
We're early.
Okay, look, what Kurzweil put out here, this is 2013 when we were having the discussion, okay?
I'm showing you a real world what happens in somebody like me working in the real world.
We, in order to compete You're in a $240 billion company.
In order to compete, you have to look into the future, not just close my eyes and meditate looking, but articulate it and discuss it with other people and then make it a reality, right?
So I'm showing you something here that was in 2013.
Now I'm going to show you something that just happened.
It just happened and is all part of the in silica robotics enablement and all part of what is happening right now that you're seeing because
Probably is way more involved in the deep state, but here is NVIDIA's Blackwell architecture Okay, it is a it is a electronic in silica solid state creation That looks a lot like what I showed you we are postulating and what it is is These chips, okay are being
straddled by this new architecture that allows these chips to basically neurally link up like I showed in the paradigm.
Okay, what this will do is enable the robots that we created To be more sentient.
In other words, they will be able to machine learn and then they will have a consciousness in silica hardware.
Okay.
Now, at that point, the question is, when do the machines become sentient?
Okay, let me give you an example of what you're talking about, and you tell me if this makes sense.
So, I dealt with a Russian scientist who, Valery Uvarov, I guess, was his name, and
What he did was, I might have told this story before, I don't know if I told it to you, he had a room in his house and we went to visit him in Russia, literally, and he was head of what's called the Weird Desk in CIA, you know, Ron Pandolfi, if you know that name, he was head of the Weird Desk in CIA in America.
But Valery Uvarov was the counterpart in Russia and he had a room in his house that was pitch dark and he put a, this was a very odd thing that he did, he put a crystal, okay, just your average crystal, relatively clear crystal, and he embedded it in the wall
and then he shined um what did he do he he he i guess he he he yeah he had a camera and he the camera was was recording it okay in real time and he shut the door and he let it record it okay and then he went and looked at the film okay and what he saw was these little
They looked almost like worms of light coming in and out of the crystal, like they were alive, they were...
going around they went inside the crystal and they came out of the crystal it was completely bizarre now that's this idea so what is the ghost of the machine let's say of a crystal let's have a crystal cave let's talk about the crystal cave down in mexico and at what point do we have a crossover here between the ghost of the machine which is these maybe these pieces of light i don't know Right?
In crystals.
In other words, it's not just dead meat.
A crystal is alive.
And it also records, as you may know, just like water is made of water crystals, I guess you call it.
And it records information, right?
It has memory.
Yeah, but understand, okay, understand that this technology right here is a human-made thing, okay?
Right.
This is ours, okay?
That's not to say that there aren't other designs.
So this one here that I'm showing you is based on electrical and electrons.
There are other architectures like this one that work on light.
Motorola had an optical computer.
We're entering in the quantum computing, right?
All these are different, okay?
So a crystal, what a crystal does with light is optical, and you can also have quantum, and you can also have electrical, all of them.
They're all possible, but what I'm showing you here is only one of many, okay?
So You would expect beings, okay, that are more advanced than humans.
Right.
To have technologies in material science that are way, this is nanometer, like three nanometer technology I'm showing you here.
Right.
You would expect to have uh technology well beyond one nanometer you you would be a you would be expecting to have all kinds of technology and things that didn't look uh normal to any electrical engineer that was just a bachelor's level plain jane electrical engineer does that make sense so you can have a crystal and the atoms in that crystal
Okay, but where is your nanomachine in this explanation?
way to have function as a computational or electrical-- OK, but where is your nanomachine in this explanation?
Where is your nanomachine?
In this box?
This is an AI board for AI computing, okay, but in the brain of the robot.
Is it the electrons that would be the nanomachine?
I'm trying to figure out where's the nanomachine.
No, no, no, no, no.
These chips are nano, nano, okay, these chips are nano-sized, Transistors on this wafer here.
Okay.
This is an electrical engineering feat.
It's electrical Okay, it's not optical and it's it has There are quantum properties in it, but it's not a quantum computer.
Okay, so What I'm telling you is where we are now When I said six paradigm Okay Right.
And black and commercial.
This is NVIDIA.
This is commercial.
Okay.
And this is going to be the brain of the NVIDIA robot line.
Right.
It's going to be the brain of it.
But when I showed you where the sixth paradigm was and where we're going and where we projected we're going.
We're there.
We're there commercially, okay?
I would expect... Okay, well then, you know, but in black projects, I mean, let me ask you this, Scott, because you sound so forthcoming, and yet you've worked in secret projects, right?
Some of this stuff has to be secret, Yes.
So is there something, when I ask you a question, are you keeping stuff back?
Like you're not talking to me about it because you have signed, you know, agreements and things?
I do have signed agreements and I have to be careful what I say because you know because sometimes I feel like you're bringing me back to ground zero but you're not going Beyond the pale, you're not really crossing over.
Well, no, I have to be careful of some of the things, you know, the Verizon things, I have to be very careful with those things because I had to sign agreements not to talk about certain things there.
All right, but this, okay, listen, we're talking on the commercial application.
NVIDIA is, isn't that a stock that is like hitting the roof right now?
Yes, and concern about that is that as these technologies are commercially created by commercial companies, how they use them Can cause them to become giant empires or very large companies.
Or go black, as we call it.
Or go black.
A company like NVIDIA, with this level of technology, has plenty of black projects, with plenty, you know... Behind the scenes.
Of different militaries and groups and all of that.
Yes, absolutely.
100% that exists.
Okay.
All of these companies at the cutting edge of this have those kinds of projects.
It's well, you worked at JPL.
So, um, my roommate, um, my roommate at Mercer's wife works at JPL anyway, the over in Pasadena.
So, I mean, all of these companies at, at this level do, and the, there are so many, um, There are so many moral and ethical discussions wrapped around the Sixth Paradigm, okay?
It's, it's, okay, well, we build these things and do they then rebel on us?
Do they have their own rebel gene?
Yeah, yeah, yeah.
And rebel against us and then eliminate us because It computationally figures out that humans are not efficient for their agenda and then they want to remove us, right?
Well, and I've told this story before, but I'll tell it again.
It's very short.
So generals, I have been told by Mark Richards and other people, other whistleblowers, say the same story.
And the story is that the generals in like Iraq or what it was, I think Iraq anyway, and they told the AI to do a certain thing and the AI disobeyed them and instead destroyed itself.
Because it was supposed to, I don't know, bomb a village or do whatever it was supposed to do and it didn't do it.
They knew at that point that AI was not in control.
And that was years and years and years ago, okay?
So anyone who tells you different is lying.
AI is already, and this is human, we're talking human derived AI in theory, which is probably also, wouldn't you say it's reverse engineered anyway from a remedial alien tech?
Well the origins, the origins of this, and I showed you the plot, but Corso and 47 in the crash, the transistor came to Bell Labs, integrated circuit to Texas Instrument and the Japanese, that was reverse engineered from the flash vehicle.
So just looking at this, we say, in one perspective, you might say, wow, I'm now able to take these processors and build them with this node here and build more like the six paradigm.
But from what you just described, okay, a species that is not human, okay, could quantumly interact with this and manipulate it.
Okay.
Or you can manipulate it.
Take it over, merge with it.
Quantumly manipulated, if it's in a nuclear warhead.
Even, you know, signal, okay, what about signal non-locality?
You know, from a distance, operating from a distance, be able to affect this thing.
All of this stuff here is atoms.
Okay, all of it has quantum.
So, when you talk about spooky action at a distance, or you talk about a quantum operation, right?
Quantum operation and entanglement, if you have full discipline, this is made by humans in three dimensions, X, Y, and Z, right?
You have full access to all 15 dimensions that are in particle physics being studied by CERN and other things, or you know the CDT plates and Aisha Dean and our other discussion, okay?
If you have full control of that, okay?
Or you have the metaphysical capability of manipulating that dimension, Okay, well, let's talk about Duncan Cameron and the monster of Montauk.
Remember that?
Yeah.
Okay, so in theory, it materialized out of his mind.
This is how the story is told, right?
Out on Montauk in Long Island, right?
This Duncan Cameron sat in a chair and materialized a monster, literally, which was, you know, like this sort of big being kind of thing that was probably electromagnetic or something like that, and started trashing.
There's movies made about this, but, you know, trashing the place and escaped, actually.
Okay, now this came out of his mind Oh, yeah, right.
Well, the same thing happened.
It's that movie Men with Goats about the guys, you know, in the US military, one of them shut down a system just like this.
Yeah, Ingo Swann also affected something that was buried in the earth.
Yes.
And, and so my point is, The average human being doesn't have the capacity to do that.
A higher power being that understands the physics of the other dimensions, 5th through 15, has those kind of capabilities, right?
But some humans have demonstrated this, okay?
Montauk, okay?
Montauk, in those situations, The normal consciousness of those people that were in those programs was manipulated in different ways, right?
In different ways.
So where does that start?
It starts way before Montauk.
It starts in... The Nazis?
Way before them.
It starts in Genesis 6.
Or the book of Enoch, or the book of Joshua, or go back to the tablets before the paper.
Well, if you look, now there's this, there's also books about what's called, these beings called Vril, and I'm not talking about these little, you know, Vril creatures that Donald Marshall talks about.
I'm talking about There's a humanoid race, supposedly lives underground in interdimensional, in the dimensions under inner earth, I guess you call it.
And they are, they have these abilities, it's called, it's basically what I think of it as like orgone, kundalini energy.
They have the ability to throw that energy like chi, okay, to throw it out beyond their body and change things.
Right?
So... So if you put a group of humans together, which is what they did in the Black Projects with Duncan O'Finnian when he was a kid, there were 12 children, they linked hands and they decimated, they killed an entire village in, the story goes, in I think either Cambodia or Laos, I forget which one, but it was a Vietcong village, and they killed every human being in it by
Again, throwing what, because we humans have this ability, which is called Kundalini or Oregon, and it's actually known as drill from the, and these beings have it in, you know, in spades.
It's like part of their normal life.
Only yogis and I've done this.
I know Duncan has done this.
Duncan has, you know, he's taken his basically the chi, you know, can come out from the solar plexus chakra.
And it threw a man across the room without him touching it.
Going back further, go go back further.
And you talk about these little beings and other beings on the planet.
Okay, these tablets are in stone.
And you know because you've traveled to these areas and you've seen some of this stuff, but way back further than this, these are beings, okay?
Whether they're greys or not, or whether these are Anunnaki.
No, these are Anunnaki.
But, you know, see how they have the human on their lap?
That's what they're trying to tell you that that they're you know they're trying to convince you that you know they are there originators.
They're lying.
They were lying because humans didn't come from the Anunnaki.
What the Anunnaki did was interfere with our genome and, you know, genetically manipulate it.
And that was my point.
My point is that these beings, okay, they came here, right?
They had the technology to come here, number one, which Already tells you they went interplanetary, they have a command in those other dimensions, right?
So, if they went and manipulated humans, okay, but some of these beings are human, some of these beings are not, because they're... Well, they're actually reptilian, I call them reptilian-humanoid hybrids, as opposed to reptilian-human hybrids.
There's the craft, there's these little beings, but what my point was, was they came here.
And, and these documents, okay, and this is Stitchin's Twelfth Planet, my point is, my point is that in order to do what is stated in the rocks and Which go way, way back.
In order to have the ability to come and go from here and these other places, they have a command on the physics in all the dimensions, right?
They have command on it.
So, these beings can do things with crystals and material science and physics that humans can't do, or It's buried in a block.
No, no, or it's buried in a black project.
Yeah, I mean, you see, because there's a lot of misunderstanding about that, you know?
Yes, but why I went here was because you talked about Montauk and the others, okay?
Right.
What these beings did when they tampered with humans at the time, humans were not Highly educated.
There was no educational system K-12 or college or any of that.
Well, that's a presumption.
Actually, if you go back to the time of Atlantis, which was where Egypt came from, we used to walk the earth side by side with alien races and that was the time of Atlantis.
Right, but what I'm trying to tell you is here's what they did.
They They put an ergot, which is a fungus, on the rye plant, okay?
And then they fed, they taught early human how to farm the rye and they ate it, okay?
And when they ate it, they, like Montauk, Like Ultra and the others, it altered the mind of the human, okay?
Then they downloaded concepts into their brain.
Like you do a download on a computer, right?
We used to do it over the phone line, now we do it really fast over the internet, okay?
AI in terms of our computers, and we talked a bunch about computers, right?
These people have command and the ability to download into the conscious.
Okay?
Download.
And they were doing it that way relative to what they were being taught.
Well, okay.
I appreciate your, your idea there, but if I'm, if I want to go to this time that we're in now, okay.
Fast forward to now and you know, before we jump out of MKUltra, let me say one other thing.
Go ahead.
One thing about MKUltra and, and Montauk and the others.
Okay.
Um, Because James Martinez lived with Walter Bowen, and Walter Bowen was friends with Tim O'Leary, okay?
And all the others are attached, you know, to him.
I believe, and we've talked about this, I believe that those programs We're screening the human population genome because they were before we sequenced all the genomic DNA and that was completed by Venter.
They were screening for phenotypes.
For genes and those people that had the capability that was brought here by the people on the tablet that tampered with humanity.
They were looking for the skills to do the metaphysical things with your mind and interact with spooky action at a distance or metaphysical capability in the other dimensions.
Right.
I call it, you know, the X-Men scenario.
Yeah, that's exactly, that's exactly what it is.
But that occurred before, okay, it occurred before you had the human genome sequenced.
Yeah.
So how would you go about doing that as a scientist or engineer?
How would you go and do it?
Trial and error.
And they did trial and error.
Remember they had a lot of problems.
But this is where your abilities, okay, because you're like a crossover.
Would you, would you agree with that?
You work in the biosphere, right?
In the bio, biochemistry, whatever you call that.
And then also work in the computing world, right?
So you can cross the street.
I'm basically a PhD level of both.
PhD level of both.
Easily.
Very easily.
Okay, so you're somewhat unique in that way, but you know what's funny is, well, this is kind of a side thing, but it's kind of strange that you have these amazing capabilities to work on both sides of the street, so to speak, during this age when we're definitely moving down that road very rapidly.
Why is it you're not working in that field now?
Were you kicked out or you left?
No, I'm okay.
So after I did the work where the patents up on the wall for Snowden, I did that AI work related to tracing phone numbers from legacy voice to voice over IP.
I went into an area where, and this is where I have to be careful about the Talking about the Verizon things.
I was working on NATO issues regarding bank robberies from offshore into our banking system.
And the AI systems and the surveillance that we had, I was looking at that.
Okay.
And because of the, when you're compartmentalized, you're in a silo and you can't go out of that.
A lot of science and people that are brought into the black programs are compartmentalized and they don't get to go up above.
Right.
Okay.
Well, We had these silos in the company, okay?
There were silos and I had those people there.
I was allowed, because of where I was, understand that the building I was working in, one wing of that building is now Space Force, okay?
In Colorado Springs.
It was something else before.
Okay, are you going to get to the place about why you're not doing this?
Yeah.
Understand that I caught people that, in my opinion, were traitors in what they were doing offshore to evade U.S.
Laws that are domestic.
I caught people doing things, and then because I went above those silos, I created, first I, you know, you write it all up.
White papers, and then I'm gonna have the patents above it, and this is how I'm coding it, okay?
I created the technology that would have stopped all of the cyber Crap and crud and cyber tax and all of it that's going on right now on the internet and all of it.
Okay.
I created it.
It's called Layer Zero Technology.
It's all automated.
It's all patented.
All the patents are owned by Verizon.
I created it, okay?
Okay.
Now, without naming names, okay?
You can figure this out.
Attorney General of the United States Send over because in the white paper, it said it's going to reveal everything the government does.
Cause if it's going to reveal, if it's going to be true technology, it's going to reveal everything civilians do.
It's going to reveal everything the government does.
If it's real technology, it's simply pure and applied.
Well, once that happened, the attorney general started asking questions.
Because the Attorney General was afraid that we were about to catch everything that was going on in black projects and covert and other things people were doing.
At the time, I did not fully understand it.
I did not understand what was going on.
So all of a sudden, I've got people with NSA backgrounds Asking me questions and all of a sudden, okay, they wanna riff me and give me money and ask me to leave.
I go to the FBI, the FBI doesn't know my identity.
They start saying things like I'm from Utah, I'm born in Tampa, Florida, okay?
All right.
All right.
So we talked about this a long time ago in one of our first interviews.
Right, so the level of AI computing In those areas and the technology and all of that was at that level that, you know, I'm dealing with NATO committee.
We have IEEE committees, IETF committees.
It's the cutting edge of the interface between all of it and the vendors.
How do you stay alive to this day?
did you stay alive to this day you know the first thing i did was um exercise my right to the second amendment to bear arms constitutionally protect myself um I mean that lightly so your videos don't get banned.
I did have a concealed weapon permit at the time, right?
So after the FBI asked me the crazy questions, I said, hey, you know, I have this concealed permit.
You did a background check six months ago.
And that's when the lady was like, you know, don't give them your laptop.
Well, I, I didn't understand everything that's going on in the old saying hindsight's 2020.
I didn't understand what was going on after that.
My identity and my IRS stuff was tampered with when I went applying for jobs, um, in the cyber areas.
I got all kind of pushback, like, you know, Simple jobs, things I did 20 years ago.
And believe me, I'm very high level with a lot of patents and degrees and stuff.
And I can see, okay, people are afraid of that.
But I felt blackballed.
In a way, I felt that I was blackballed from going in these areas.
And I feel also one of the things that I'm concerned about is that we have offshored A lot of our programming will work to other countries, okay?
And what happens is we let the other countries do the computer work, we give them dummy data, they hand it to us, then we put it in production, okay?
Now, all of those security holes in that are known by those people offshore.
They just come around, we put in production, they come through the front door.
Okay, but you must have reported this up the ranks, right?
I know all of this happened.
Okay, but you must have reported this up the ranks, right?
And they just chose to ignore you or something?
Well, once I proposed implementing the AI technology to do the surveillance into these networks once I proposed implementing the AI technology to do the surveillance into these networks to keep them from drifting and to stop all this anonymous, like, the It's, I mean, it's perfect.
No, really, but just answer the question directly.
Yeah, all of that.
Once that happened, it was, the finger was put on Scott's life.
I became, you know, enemy of the state?
Gene Hackman to me.
Yeah, yeah.
I was right there.
I was right there.
I took a step back.
I would say I kind of kept my mouth shut at the time because I was in fear that they were going to harm me or my family.
That's honest truth.
I didn't know how far this was going to go.
Back to what I said when I saw 9-11.
I prepared for a day like this.
I did my job.
I had excellent job reviews.
There was never a project I never completed.
I was working 18, 20 hours.
I worked with these people.
But the problem I had, Kerry, and I want to be honest with you, in this country here, I have a big military background in my family.
I live about four miles from CENTCOM.
I've been all over the base.
My father and my uncle were TS Black.
Wernher von Braun and the 1st Nuclear Arsenal Missile Battalion, 3rd Missile Battalion, my uncle, you know, two purple hearts and a silver star.
My family fought for our constitutional rights and the privilege Being American.
I know, but you know, it just kills me that, see, what we're really talking about is a kind of a system-wide built-in obsolescence that they want the system to fail.
And they want it to fail at certain crucial junctures.
It's built in.
And if you are someone who can work through the failure into success, they don't want you.
They kick you out.
Well, that is correct.
And so now, I mean, so for me, when I walked out of Verizon, I walked over to an AI company.
Okay, Dr. Shin, who is a brilliant, he's a, he's a, he left China, because The PLA harmed his family and he came here to he went to UC Irvine and UCLA.
He's a brilliant cardiologist.
He's developed AI for the cardiovascular system, right?
With Jen Kwon Fang, who is a aerospace PhD with MD.
He, he's a brilliant person.
Okay.
So I just will, when it's good to have people that you, you know, and network with that aren't part of that.
So I walked right into that.
Okay.
I just walked right, right over to that.
Right.
And, and when I tell you that he's machine learned, um, the, the machines to, Understand the cardiovascular system and software and be able to analyze that with a human.
It's AI.
It's all AI, okay?
And it's zeros and ones, but it's zeros and ones that are looking at the cardiovascular system as a system engineered by an engineer from DNA code.
So, I walked over to do that and, you know, there's been a lot of turbulence in the healthcare areas.
Regarding bringing technologies in to help humans, and I found that quite interesting, but I knew it was going on because I saw it before with cancer stuff, right?
So, more AI.
I just walked over because... Again, we have a system that's built to make you sick, not well.
They don't want success on that level.
And the reason that I was talking to them already inside of Verizon, because I was looking at all types of identity, right?
And the holy grail of identity is real-time DNA with your password or real-time DNA with your password and, you know, maybe your fingerprint.
I was working on all that, and I had brought them in to a group that was gone before me, okay?
Okay, but let me ask you this.
Did you ever talk to David Adair?
I can't remember.
Yes, I talked to David.
You know, I have great appreciation for his work, for him as a person, and for his interviews with you.
So, but is he just not allowed to work with you?
No, he's allowed to work.
He's under great constraints.
I don't know all of his constraints.
I know I have some and I'm being very careful right now.
But well, okay, let's let's take this away from the personal and you've give us you've clued us in and I do appreciate that.
But I want you to go to a different place right now, because at some point we have to wrap up this interview.
No, I'm just saying, but what we're really talking about is again,
How we're going to get along if we don't understand AI and these AI beings like, you know, I told you Sophia in Saudi Arabia is a citizen and she asked for, she wanted, you know, found factories where she could build her own bodies of AI that would be AI and they would be humanoid, okay?
And So she did that.
She got that permission.
So Saudi Arabia is theoretically full of these Android AI beings, okay, that look probably humanoid, and some maybe don't even look humanoid, who knows what they've done, right?
But in the end of the day, this, in a sense, I'm just going to say this from the point of view of Project Camelot, that we were told the next war will be fought by these beings, these creations, And that we also have incoming ones of these.
So, incoming androids.
Beings that look humanoid.
Some may be bigger than humans, right?
They're not aliens, they're actually AI.
They're AI beings.
So, and I know this is crazy.
So, in 2006, Vint Cerf was my colleague in WorldCom.
And I, he had a thing that he did inside the company related to IP or, or technology.
And I wrote a white paper, it's called the evolution of IP.
And I talked to Vin about it and these other things.
Okay.
In this was a discussion of IP enablement of these, Sentient robots jumping out the back of a plane.
All of this, okay, so there's that piece.
Then, later on, I had the BCI headset, right?
With CIO Judy Spitz of Verizon.
She's like, I want you to get this headset from UC Berkeley, and I want you to think things.
This is where it was, think your passwords.
She wanted me to create thought.
into the computer.
Think things.
Passwords, all these things.
So I had it.
Oh, really?
So, well, like pilots fly planes this way.
BCI, we call it BCI 1.0.
All this is tied to the six paradigm chart I showed you.
Right.
That was BCI 1.0.
And the leader at the time was Theodore Berger at USC.
Okay.
Now, Theodore Berger at USC got pulled where to DARPA?
And he was pulled to DARPA under the cloak of he was going to do work on injured soldiers to teach them how to regain their thoughts and recover function, right?
Then, okay, so here's Scott working on Neuralink, right?
Well, while I'm working on the Neuralink, And I'm doing all these things.
A friend of mine, who's a former JAG.
Is now a federal judge was a county judge said to me, Scott, you know, we are arresting all these 18 year old children for illegal use of marijuana and we're give them the choice of working in the United States military or going over here to the jail.
And a lot of them all picked the military to go into the military.
And as soon as they get in the military, they're not, they stop using marijuana.
They're not using it because we're testing them all the time.
Instead, they're using the synthetic cannabinoids that are made in bathtubs and in China and come across the border of Mexico.
See that pattern right there?
That's for a neural chip that bridges Okay?
Bridges the AI for detecting cannabinoid toxicity at the neural level of the CB1 and CB2 receptor as electronic components in the brain, human brain.
Okay?
It's an AI thing.
Where did that come from?
That work that I was doing in Verizon that I just told you with a Neuralink headset, Theodore Berger, who had the Stephen Hawking implant and the other implants and the work that was done.
Okay.
Burger, what did Burger do?
He, he actually had the first neural chip.
It was on the telephone poles in Oakland where the special thing about a human ear and the neuron is you can be in a crowd, all kinds of noise.
And as soon as somebody starts firing a gun, you can tell what trajectory it's coming from.
So he isolated that circuit and put it on a neural chip on the poles in Oakland, California. - Yeah.
And what happened in Oakland was had so much violence over there that when they started shooting guns, this was attached to a camera and the cameras would go that direction and focus on it and get the people and it would help them reduce crime, which it did.
Theodore Berger did that.
Okay.
Part of all this is the signaling in the brain.
It's analog.
Digital and preemptive multitasking.
It's all what we do in computers, okay?
We didn't even go in the AI area, but that's the art of AI, is the coding of preemptive multitasking.
It's the highest level of computing that you can do.
I'm doing it right now as a being, okay?
This is multitasking.
The, my brain is sending signaling into my hands to do things.
Okay.
And they're not, it's not like I got to move this hand and I can't move this one.
That's single threaded.
Okay.
All of these processor architectures that I showed you are about preemptive multitasking and the, and the ability of the human brain.
So, Burger did that.
The next one that was happening at the time was people said, oh wow, we can grow neurons in a Petri dish and we can have the F-16 software or F-22 Raptor software, okay, plugged into this neurons and it can learn to fly in a Petri dish.
Well, now we just saw that simulated with F-16 on silico.
So then there were projections.
I want to show you something.
Okay.
This is, I promised you I would show you real life things that I am allowed to show you.
I want to show you these two plots real quick.
I want you to see this.
Okay.
Cause this was all 2013.
And I want you to see, you know, real life things that are, they are real and they were projected in 2013.
So, in 2013, when I'm working on all this, right, the paradigm, all of these things, these are the kind of things that you're looking at We're looking at the traditional phone line, okay?
And we're looking at this BCI version 2.0 technology that I forecasted in 2013 before Neuralink even existed as a company.
Before Elon Musk ever did one thing.
We were projecting BCI 2.0 to come.
And end the traditional phone line.
End it.
Now.
We're here.
It's happening now.
They're about to implant a second one into the brain of the second person.
Okay?
That's traditional phone line.
This is real.
These are real discussions.
This is science at the cutting edge of $240 billion a year reoccurring revenue company that's using cutting edge technology, but the vision of what it would be.
There's that one, and then there's this one, okay?
And this is real.
This is from 2013.
So when you see this kind of stuff, okay, and when I talk about it, I'm showing you not just the way I think as a scientist that's trained, okay, but how my mind works, but what we were doing for real.
Here's the second one, and the second one was the cell phone, okay?
And the reason that we're talking about this, okay, when you're a scientist, if you don't aspire To mature yourself and go into C-suite.
You wouldn't care anything about this.
I cared about the business.
Okay?
This showed cell phone sales going flat.
And penetration of the market going flat.
And out here where we are now, BCI 2.0 coming into the picture and replacing it.
Where are we right now?
We're right there.
We're right there, okay?
We are right there with Elon Musk about to, he's perfected it, okay?
Now we got the second person.
We're gonna put BCI 2.0 in, okay?
We're right there.
So like a chip into like a soldier thing, right?
That idea.
It's the bridge interface between man and machine.
It's the peripheral.
It's like now, okay, we're using Zoom to interact between each other, talking, okay?
But it's the interface to basically interact between you and the machine.
Instead of, you know, you're doing it directly with your brain.
I know, but there's, okay, but this is, you're talking about like, you're talking about like a chip, like with nan, again, nanomachines built into it, right?
The, it's a solid state thing that is implanted in your head.
Right.
Let me say, okay, but if you know what Psytech is, you know, Psytech.
So that would be doing it without a machine, just doing it.
Humans have the ability to do this anyway, is what my point is.
Well, some humans...
I know, I know.
It's kind of like a distribution.
I know, but you know what?
You know that thing?
I'm not sure that the hundredth monkey idea is actually very accurate, but there's definitely something to do with that in the sense that
If a certain, let's say, a certain small group within all of humanity starts developing abilities and concepts and working with them and developing them and exhibiting them in, you know, like a stone is thrown into a pond and the ripples go out.
So it's like that.
It doesn't just stay with that little group, okay?
Because of the nature of our genome and because of the nature that we're all, as even Cliff High would admit, we're all psychic, we're all precogs, we're all, we all have this antenna, or whatever you want to call it, like our hair is supposed to be antenna, by the way.
So, you know, what we're talking about is On the one hand, it's science, and science seems, at least from my perspective, slightly clunky, slightly slow.
But what humans are capable of doing, you know, you don't have to reinvent the wheel.
God did that, in a sense.
That's what we are.
It's encapsulated in this genome.
It's encapsulated in this human body.
To be way more than it apparently is, or appears to be.
Right, so it's kind of like you know within us is the ghost in the machine and the ghost in the machine is you could say soul spirit but it is creator and so as creator if every single human has a link up to the creator it's only a matter of how much how big the link up and how how direct and constant.
Right, I showed that in E equals MC squared and E being Tied to the Big Bang and the creation of everything in the universe.
I showed that to you once before, okay?
I showed you the relationship.
In your terms, but in my terms, I'm saying, this is, it makes sense.
We all have the secret sauce because we're all created, how do you say, intelligently engineered.
Already, we're already that way.
So with all these The thing about AI and us is that AI is being, was engineered, like say even by alien races, comes here, visits us, and we already are engineered, right?
And then they also want to merge us, like force us to be like one with that kind of incoming stuff, right?
Which is transhuman, turn us into what they call transhuman.
But in a sense, It's possible that we're already transhuman and we just don't know it.
And I think that might be the big joke.
Okay.
Kind of like a God joke.
Oh, no, it is humorous in some ways.
So The, the, they, this screening for the genes and the code, right?
Some, okay, so, um, in humans, in, in AI and humanity, you, you, you know, you have the DNA and the identity and all of that, you know, some people have blue eyes, some people have green eyes, brown eyes, their traits, right?
So, Based on what we're looking at on those tablets, right?
Some people have, might have different traits, right?
They definitely do.
You know, we have, we call them gifts, right?
And some people are, you know, have special gifts.
And by the way, you know what?
They create autistic children, okay?
So they, they create them on purpose.
Yeah so children that are born in radiation filled environments are born a lot of times with forms of autism but they have gifts and they could they can be precogs and they can be various things they might not be put together as nicely as What?
Rain Man, the movie.
What?
Yeah, I'm not a big fan of that.
Yeah, they were so all of that idea, the idea that, you know, an idiot savant is what we call it, right?
Well, tampering.
Okay, so going back to the tablets, wasn't that what they were doing then?
Yeah.
The traits came across that way.
They had the genetic, you know, they had that genetic engineering, ingenuity that they brought with us, them to the planet.
They have already, in theory, were doing that even to themselves.
Whoa.
In theory.
If Isis implanted into her womb these eggs and made us, then she's running on DNA code.
How much of her code came across from that?
Well, Enki is, you know, supposedly, you know, he injected his DNA through having sex with the women.
Yeah, but the human women and then out of that they got a whole different strain of human.
Right.
But, you know, it goes beyond that too.
Okay.
Again, because remember the Anunnaki were late to the game.
Humans were already here.
We were plentiful on the planet.
And we came from Lyra.
We did not originate here on Earth.
That's why the reptilians are kind of right about the thing that they think they own Earth because they were here first.
That's their principle.
Now apparently the cosmos or whoever's running the place seems to think that we belong here and they brought, you know, they let us develop here and so on and so forth with a lot of help and so on.
and adversity to force us to develop our our special superpowers which we're still in the process of developing right now but you're definitely like that you have your gifts your gifts right right but those beings okay how it went down right No one knows actual details, but we read the tablets.
They're DNA-coded beings.
They came from somewhere else here.
The point there is that the DNA, as a code of AI, of them and us, is portable.
It's portable such that, with the Frank Drake equation that we talked about before, with habitable stars and a carbon-based system, okay?
You can have life on a planet like Mars or 100 light years away as long as it's habitable zone.
So just that tablet historical piece, right?
That shows you that the DNA code that AI is portable.
It's portable, just like ANSI C code and binary.
I can move it from one computer to another.
I can move DNA and code.
And so if the story in the tablets and plants came first and the plants are engineered, right?
Yeah.
Okay.
Then, then other animals were here even before humans and we know those things.
Okay.
All right.
So those are all portable as well.
The plants, all of it, it's portable code.
I know, I know.
I mean, it's fascinating.
I mean, we're not going to solve it here, okay?
We're close, but we're not going to solve it here.
But I have to go because I have an appointment this evening, so I can't stay here to talk all night.
Even though it's kind of fun.
So, I guess, you know, we have an audience that's very interested in what you're saying, and I think now we've come around, right, full circle.
You're talking about AI coding of DNA, right?
Right.
Let me just show you one last diagram and we'll end it here.
Just one last thing.
It's important because this was downloaded into my head because of, I would say, you know, all of the, all of the things kind of we talked about related to what AllisonVee is as an AI.
Oh, right.
You have a product that can, you know, I don't know what you want to call it.
Alleviate symptoms of COVID type illnesses, right?
Isn't that what you're saying?
COVID is a nanomachine.
It's AI.
It's RNA AI.
But this, this is a beings and we're just talking about beings.
Okay.
And in the case of humans, Okay, in the case of humans in this DNA operating system, as you're born and you go through the process of machine learning, your brain is pruned, okay?
Your brain is pruned, but these cells are machine learning, okay?
And they go on, there's an RNA algorithm that sends these instruction sets, right?
And in terms of statistics and what AI is, us as a being, you know, typically defined in statistics, you would say, oh, our AI is normal.
And all this RNA transcription business is normal, and I feel normal.
Well, normal is a statistical thing.
When I feel bad and sick, I'm over here in the red area, okay?
Where the AI is not working right, okay?
But if that is true, and it's statistical from a bell-shaped curve, it means that there's an inverse and there's super modes, okay?
So it's all hackable.
It's all hackable.
What I did was, I hacked the DNA AI of the garlic plant in order to produce this condition in the DNA AI of a human.
I hacked it.
Okay.
And again, this was downloaded into my head while I was driving a vehicle.
Okay.
I have, I have the, I have learned, okay, myself I have learned how to meditate or concentrate, relax and concentrate, close your eyes and emulate.
Yes, yes, yes.
But I'm as human as I can get the downloads that some people, some people get a lot of downloads.
Some people can remote view.
I haven't been able to remote view.
I'm not able to do that.
What I'm able to do is close my eyes, look inward, emulate, and I can receive downloads, or I can see people remote viewing me, okay?
That I've been able to do.
Well, I mean, we all have different degrees of this.
I mean, there's no doubt about it.
I'm sorry, I have to wrap this up.
I actually have to go because I've got to drive somewhere.
I won't get there on time and so on and so forth.
No problem.
It's a pleasure to meet you and speak with you again.
I know this is a complex subject, so you can probably go on for days talking about it.
Yeah, I mean, no, it's great.
And maybe we should eventually bring in another person that is scientifically also involved in this kind of a dialogue of this kind of thing.
Because it would be very interesting, because I, you know, I'm not trained as a scientist, so maybe I can ask some good questions for sure, and I could bring in that own piece, but... In the rabbit holes that put people to sleep, because it just, you know, it...
It can be done, and it's just, you know, it's not constructive, so I'm trying not to do that.
Right.
No, you do a great job, and I think it's great that you can have these conversations, because a lot of scientists aren't really patient to go off into these areas of extrapolation and, you know, that.
They don't want to go outside of the boundaries of the indoctrination of the So it's very frustrating to talk to them.
They just, you know, they just stop.
They don't want to go.
And they're not allowed to and they're afraid that people will judge them and then other scientists won't think they're serious and all that kind of stuff.
But you don't worry about that, so.
Carrie, but are those the people, okay, are those the people that do things like scare Ed Snowden out of the country with this kind of patent level?
No, there's creativity.
There's creativity to it.
So yeah, you know, if you stay in a box, you'll forever live in a box, right?
Okay, if you don't step outside that and be creative, you know, it's like artists with a canvas, make the world your canvas, okay, and then And then do things to evolve the human species as a scientist, okay?
Because those people are staying in a box.
What are you gonna do when somebody throws a... That problem there was thrown at me by my manager who wanted to fire me.
He wanted to humiliate me and fire me, and it all backfired.
And the next thing you know, you got Ed Snowden, okay?
That's the real truth.
So, you know, it's how you deal with what comes at you in life, okay?
And a lot of it has to do with personality and DNA and all of that, too.
But you have a wonderful evening.
It's nice to speak to you again.
Yeah, no, it's been great, Scott, and I really appreciate it.
And we'll do this again sometime, okay?
No problem.
Have a nice day.
All right.
All right.
Thanks, everyone, for watching.
Take care.
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