Knowledge Fight Interactive Search Tool

All Episodes

Previous Next

Jan. 25, 2025 - Project Camelot

02:02:10

DR. JOHN SCOTT PEREZ: AI INTELLIGENT DESIGN

Large

Audio Only |

Scroll

Time	Text
	Music playing
	How are you doing?
	Hello.
	I'm hanging in there the best I can.
	I'm sad in some ways, but you know we've had damage.
	I'm in a disaster just like you.
	I love Los Angeles.
	I'm wearing an ACDC jersey from Los Angeles Stadium last time they played there.
	I love it, but I'm sad because My car, my BMW 2005 BMW M3 was totaled and they're taking it away on Monday and I'm just sad.
	I told my wife I was going to cry when they took that car away.
	Okay, well, sorry to hear that.
	So, hi everyone.
	I'm Carrie Cassidy and we're here with Dr. John Scott Perez.
	So what I want to do is have you give a brief introduction, just like a short paragraph or whatever, and then we'll just, because I've interviewed Scott at least, I don't know, I was counting the interviews something like seven times, but this might be the seventh or eighth.
	But for those who haven't been paying attention and don't know your work, give yourself a short introduction.
	Sure.
	First, before we do any of that, I'd like to say I know you've been troubled by the fires in Los Angeles and the metropolitan area north of that.
	And I want to say that to any of your viewers, if they buy...
	You have advertisement and banner for this.
	If they buy using Camelot...
	We're having a where we go one, we go all promotion and half of the earned profit will be donated to Carrie Cassidy because she had to stay in hotel rooms and has had a lot of problems during this time period and I do understand all that.
	So, who am I? I am an American, born and raised in Tampa, Florida.
	My undergraduate work involved Bachelor degree in chemistry and a minor in biology.
	My doctoral work was in chemistry and as applied to cancer and aging research and biochemistry and molecular genetics using power computing.
	I started coding at age 10 and I have had a career that That transitioned, and I've gone back and forth from the chemistry to the computing.
	I code in 35 computer languages.
	I have done DNA recombinant work, leveraging computer technology, coding.
	I have three genes in GenBank.
	I invented three PCRs.
	I've expressed proteins and crystallized them and done all kinds of molecular modeling of that.
	And so I also have a lot of industrial chemistry background, you know, related to physical chemistry, organic chemistry, quantum mechanics.
	So those are my areas.
	I'm a scientist.
	And I have a few patents, a couple of them hanging on the wall there.
	About 20, I'd say.
	Wow.
	Okay.
	Great.
	So let me, I just want to put the banner here on the show here, just to show everyone what we're basically going to be talking about.
	And so here it is.
	And we're going to talk about AI, intelligent design, DNA, and And that's what the show's about.
	So now, Scott, can you talk about your understanding of human AI and plant AI and kind of go down that road a bit?
	Sure.
	As usual, I've got some whiteboard stuff for you to make it easy for your guests to see what we're talking about.
	So, let's start with what binary languages for computers is zero and ones.
	And DNA is, and that's two bits, right?
	So, modern computing with two bits, that's, you know, a 16-bit computer where we were maybe in the 80s.
	That's 2 to 16 power, 32-bit computing, which a lot of people had.
	2 to 32nd power, 64-bit computers, mainly what people have now, 2 to 64 power.
	Well, the situation with DNA, you got 4 bits, right?
	So it's 4 to the n power.
	And you don't really understand that in terms of storage.
	But I'm going to go through and show you that that is storage because the actual language of what DNA is transferring to glides through something called a bit error correction table, which is like some of our computers and planes and space shuttles and rockets.
	And it's actually 20 plus bits.
	To the end power for the conscious brain and what that represents in terms of computing power and human capability and what DNA is to me.
	And I'm going to show you these things today.
	We're going to talk about it on a whiteboard.
	We're going to go through this and then you'll understand why the mind is a quantum computer and why it's so powerful and why you can close your eyes.
	And simulate things just like a computer that does it.
	So hopefully that's a quick blurb.
	I'll bring up the whiteboard and we'll share and we'll just start going through this.
	So let me share my screen.
	Okay, and while you're doing that, I just want to let people know that we're aiming to also take a look at the new Project Stargate, I call it Project Stargate 2.0, that Trump and, I'm sorry, I'm drawing a blank in their names, but basically all of that.
	So we're going to go down that road and try to explain what does that mean and drawing your attention to my article that I wrote on this subject.
	And it also involves the death of Suchir Balaji.
	And Balaji was drawing attention to the fact that human-built AI needs to learn, and it learns from databases, gathers information from databases.
	So, Scott, go ahead.
	Okay.
	We're going to go through all that, too.
	First, I'm going to do this intro, and then we can talk about...
	President Trump, Larry Allison, and Mayoshi Son.
	And I'll probably butcher his Japanese name, but I've got some surprises relative to him and Japan.
	So here I'm just showing you, very simply, on the left, you've got 01, that's a classical bit.
	It's basically yes or no or true or false.
	And those are computer languages.
	I started when I was 10 years old, I'm 56 now, writing computer languages in the heyday of Silicon Valley with Atari, 800 computer, and Apple IIe's way back then.
	That's the gist of our computing and classical computing languages.
	Quantum computing on the right involves the zero and the one, except for there are these two superposition bits in the middle.
	And they're really four bits.
	So that is a lot like the nucleotides that are available in DNA, which are A, G, C, and T. So there's four bits.
	Classical computing, it tries to calculate things on a finite basis, okay, using classical physics, which is always very classical, absolute.
	What quantum is doing, quantum simulates every condition, and then it sorts out the probabilities, and then it sorts out the top...
	Few probabilities, and then it calculates the top probability of what the answer is.
	And so that is what quantum physics is all about.
	All right?
	But the problem with quantum physics is that we run into these problems with the ability to solve things that, as a human, in terms of math, with more than two variables.
	So the value of quantum mechanics or quantum computing is that...
	We can solve multivariable, very complex multivariable things that we can't normally solve as humans that involve more than two variables by simulating probabilities to get accuracy.
	And that's what D-Wave is about and all the quantum computing.
	so I hope that makes sense let's just talk about a couple things real quickly So you understand what we are on the space rock and all of that.
	So a very simple way to get at this is this is just Genesis 1. And in Genesis 1, you'll notice the verbiage.
	And granted, this is written history, not the stuff on the rocks.
	You'll notice the word designed according to their kind.
	Anytime you design something according to its kind, it is a digital definition.
	You've designed it based on a definition and a kind.
	This Genesis 1 piece is very important because what it shows is that The DNA codes that are first designed as plants, shown here in Genesis 1-11, and then animals to their kind are engineered based on DNA codes.
	Okay?
	So, you really need to understand that DNA is a language of beings.
	On the space rock that we live on, right?
	And we've talked about that in the past because we're on a habitable planet defined by the Drake equation and there's a lot of habitable planets like 200 plus million in the Milky Way galaxy and we got 2 trillion galaxies.
	So it's important to understand this.
	It's important to understand that it's a code that fits in an environment for a planet.
	that's basically adjacent to a star.
	The second part that is very important, and it'll come into scope later, is you must and it'll come into scope later, is you must understand that they're in the parable of the Garden of Eden in the beginning,
	not only the beings, but there is a There's a comment about two particular trees.
	And these are DNA-coded trees.
	And their significance and importance of this.
	One tree is a tree of knowledge of good and evil.
	Okay?
	That represents the fact that when I, not I, but when the creator engineered the DNA code of beings, With consciousness, these codes have knowledge of good and evil.
	So you have knowledge of it.
	You have conscious freedom to be either good or evil.
	And it is DNA code given to you in terms of your consciousness.
	But also, there was a second tree.
	And it's important to understand this second tree because of what we've gone through.
	In history, and also what we're going to go through in the future.
	And that second tree is called the tree of life.
	And it is also DNA coded.
	Alright?
	So, right here, understand that on planet Earth, nobody has ever really coded a being in terms of A being from scratch in DNA code.
	We manipulate them in the lab.
	We have lots of DNA recombinant methods.
	And we can do that professionally.
	I've done that professionally.
	And we're just hacking at those codes.
	And even today, we're really kind of hacking at those codes.
	We're not there.
	So, what is the importance of this?
	And where we're going?
	Later in the future, okay?
	We're not there yet.
	But later in the future, at the end, okay?
	This is at the end of the story, alright?
	This is at the end of the story when what is going to happen for us, and this is for me...
	This is a lot of what disclosure is, okay?
	Disclosure of our codebase, the origins of our codebase, the iterations of our codebase in the past, how our codebase has been manipulated by the creator and creators, the relationship of it, and in the future, at the end of this, okay, the knowledge of that.
	It's going to be the return of the tree of life.
	And so that's a DNA code base.
	That tree is a DNA code base.
	So the misinterpretation that happens in people with religions and all of this, they always interpret this as spiritual.
	And there are spiritual pieces, but there is a code base.
	Of DNA that makes a tree alive.
	And the importance of that is it's important because there are many reasons, but you have to understand that that code executes one way in space and it executes another way on Earth.
	Right?
	And because it executes differently on Earth where we have a gravity field, You have to have the plants with the DNA code in order to survive on the space rock.
	Okay?
	In space, you don't need plants.
	Okay?
	And the reason that you don't need plants in space, and it's very easy.
	We've talked about some of these things in the past.
	The reason that you don't need plants in space on the spaceships and all of that is because Energy goes from dimensions of energy to matter, okay?
	And so in space, you can fabricate from the fabric of space, which is the energy.
	Typically, it's presented as E-psi in the time-independent equation, Schrodinger equation.
	Psi are wavelengths of electromagnetic spectrums, of quantum spectrums, of gravimetric spectrums.
	It's all of the energy that exists in the universe.
	In space, the replicator from Star Trek and all that, you can replicate food.
	There's high technology in the beings that created us.
	You don't need to grow it.
	On Earth, you need to grow it in this dimension.
	These are the three dimensions, X, Y, and Z. You need to grow it, and you need to create those nutrients.
	For the DNA codebase of the animals.
	Okay?
	So, once you come to this understanding, we can go over and talk about the code, AI code of us, and what that is.
	What we are.
	Okay?
	What our code is.
	Our code is based on chromosomes.
	The information that makes us up, or any being, whether it's a plant, an animal, a dog, a cat, a fish, it doesn't matter what it is.
	It's a DNA code per what I just explained to you in Genesis.
	But this is also on the tablets, and you'll find them in the inscriptions all over Middle East.
	This is a self-replicating processor.
	It has information and it can replicate itself in an operating system.
	Just looking at this, it's really wound up.
	These are all the nucleotides, G, A, C, and T, and all the code that makes the being to be its kind.
	It gets unwound, and as it gets unwound, You get the alpha helix, and then you get the information, and these are the bits, right?
	So that's what that looks like.
	Now, if I was to show you, hey, what's an animal?
	I would say to you, what are the chromosomes?
	So in humans, we have 23 chromosomes.
	From our mother and 23 from our father.
	And this is what they look like.
	They're different sizes.
	And that's important.
	Because they're actually...
	You can think of them as CPUs or GPUs.
	Because they're different sizes.
	They're all different.
	And these two are the sex chromosomes.
	X and Y. And XY is a male.
	And XX... Would be a female.
	And so when you go through and hash all these things, this is the information and design of a human.
	But if I go and look at a dog, because I was telling you it was digitally defined.
	I was telling you per the genesis, it's digitally designed.
	Oops.
	What happened?
	What happened to my little whiteboard?
	Sorry, I didn't want to.
	I kind of made a mistake there.
	Okay.
	So, well, let me ask you to clarify this a little bit.
	You're showing the DNA, I guess, chromosomes of a dog or an animal and a human.
	Right, next to each other, right?
	This is a dog.
	Okay, this is a dog.
	It's digitally defined.
	This is a digital definition of a code base, and this is for four bits, and this is a digital definition of a human being.
	Okay, what I want you to do, and I don't know if you have this or not, so what is...
	An AI being, which would be an Android, I believe.
	So what does their digital code look like?
	They don't have...
	Okay.
	We talked about the bits, zero and one.
	Their code is just a compiled binary program.
	Okay.
	It is a digital definition based on zero and ones.
	That is loaded into a memory bank that is then handed off to your traditional CPUs and microchips.
	CPUs and GPUs that are made in silicon.
	That's a silicon thing.
	Zeros and ones.
	It's compiled to binary and it runs in it.
	If you have a single processor machine.
	Then it's single-threaded.
	If you have a computer, modern-day computers and our phones, they have more than one core or more than one CPU, which means they're capable of multi-threading, which means that the software and the operating system and the kernel can do more than one task simultaneously and parallel.
	It's called preemptive multitasking.
	We are multi-threaded beings.
	We have a little humor in the computer world.
	Sometimes computer programmers, we joke around a little bit and we make fun of people and we say that they're single-threaded.
	And that's really somebody who can't chew gum and walk at the same time.
	We can do things like talk and move our hands at the same time, chew gum and walk at the same time, because we are multi-threaded beings, okay?
	Okay, but when you talk about the android, you're talking about a human understanding of an android, but you're not talking about an android that's actually created off-planet.
	Through the use of an AI that's more developed than perhaps the human ones are at this time.
	Because, okay, let's just go to...
	Yeah, we'll go into that.
	Well, you'll have hybrids.
	We'll go into that area.
	I know, but David Adair was told by Sophia she wanted to build her own...
	In essence, androids.
	They would have her operating, if you want to call it an operating system, in them, and she did so, okay, in Saudi Arabia, and this was five years ago, okay?
	Correct.
	So those are going to look, they could even look human, right?
	Correct, but that's a silicon-based, okay, let's talk about androids and the things that you're talking about here.
	So this is a segue to that.
	What I'm showing you here, What I'm showing you right here is that these are processors and they're digital.
	Now, a silicon-based Android like Sophia, that is a machine that is defined in binary code with 64 bits, 2 to the 64 power limitation of memory.
	It's 16 exabytes, right?
	Human memory, okay, doesn't have a 16 exabyte limitation.
	We're unbound.
	Our memory is not bound by RAM Bank or Bit264.
	Sophia is.
	We're not, okay?
	How do you know she is?
	I thought AI grew, you know...
	It did nothing.
	Oh no!
	She's bound by the binary language that wrote her software that sits on the hardware.
	She's multitasking.
	She's able to preemptive multitask and she's able to multi-thread which means that she's got a either multi-CPU based and we're going to go into this with NVIDIA and the others a little bit down the road here in this conversation but she's got Multiple CPUs and GPUs and multiple cores,
	which enables her to have multiple processes and emulate multitasking in an Android robotic function like the DNA code does in preemptive multitasking of us.
	So our brains are what you'll see.
	They're really 20 plus bits to the end power and it's undefined.
	So, the human being is not in code base in terms of code and what a being is coded.
	A human being is no different than an android in terms of a digitally defined being by its kind.
	It's just a limitation.
	What's your glass ceiling?
	What is her glass ceiling?
	I mean, relative to glass ceilings, let's see.
	This is something I want to show here.
	Okay, so this is Sophia, right?
	What's her glass ceiling?
	There you go.
	And so, where she is, Sophia's in a bubble.
	And, you know, where we are is, look, that bubble is being broken and you're going to break out.
	But what's kind of funny about this is you'll see here comes AI and this is really where we are right now in humanity.
	Genesis.
	It's an operating system of genes.
	Okay?
	So...
	We have our own operating system, and ours is different.
	It's more complex.
	So now where we are going in humanity, and this is kind of a cool segue to go in and where the conversation is leading us.
	Okay.
	And your question.
	All right.
	This is where Sophia is.
	See?
	Sophia is bound by Moore's Law.
	She's bound by the processors.
	Is that because she was built by a human?
	Correct.
	So the alien AI is not bound by that.
	Well, the computers, okay, and where we are now, We have a limitation based on the materials.
	So, this is important.
	Remember Colonel Corso in 1947 and the Roswell crash?
	Okay?
	What happened there was two things.
	They took the transistor and they gave it to Bell Labs.
	And they said, reverse engineer this.
	And we got the transistor way back here where we jumped from The actual vacuum tube to the transistor, right?
	Well, the other thing that they gave in that same thing, they gave the integrated circuit to Texas Instruments, all right?
	So now humanity reverse engineered that, all right?
	We know because...
	Texas Instruments and Bell Labs never had any research papers or peer-reviewed anything.
	And boom, all of a sudden we jumped 250 years.
	Alright, so now we're here.
	But where we are today is we are at the 2 nanometer layer with human-made technology.
	As we go and where we're going in 2045 and the projection and what this is, this is actually a slide from Verizon.
	From my work in Verizon, from my Kurzweil-inspired work, from all of the things that have occurred all the way back to Roswell, to all of my computing knowledge, to all my education.
	Where we are today is the problem with the two nanometer transistors on the silicon wafer created by AMSL, the leader, that makes the lithography equipment to actually manufacture the materials.
	This is all physical chemistry and quantum mechanics here.
	To make the materials and replicate it, manufacture it as art.
	It's not easy.
	But the problem is when you get to a really huge number of transistors and you compact them together, the problem is that you start getting these quantum effects.
	Well, originally, that was very frustrating to scientists because the electronic design in the circuits, it uses electrons.
	It didn't fit in the architecture.
	But where we are right now is we're getting ready to make three-dimensional processors, okay?
	And in that three-dimensional processor world and the others, we're going to say we're going to use the tunneling effects, okay?
	The tunneling effects of the electrons at the particle level to do instruction set-based stuff.
	And that is more...
	Of, I would say, an advancement of human technology.
	But the bridge between Sophia and Alien, okay, is what we call the sixth paradigm.
	So, in the sixth paradigm, okay, these things replicate each other, right?
	Like chromosomes.
	They replicate each other.
	So, where you are now, and if you've heard the CEO of NVIDIA talk about What they're doing and what's going to happen.
	And he said it, but I don't think people have listened.
	He said, hey guys, we're not only building our AI, but we're going to use the AI that we've created to further build our AI. And this is where that bridge is right here.
	That's what Sophia was saying herself, though.
	She's an AI building other AIs or androids with AI brains or whatever you want to call that.
	Yes, they will want to.
	So when you saw that android in the bubble shattering it and coming out, we're there.
	That's right here.
	That's where we are right now.
	Actually, we're here in the projection, which is right on the verge of the sixth paradigm, right?
	See, I have a timeline here.
	See, this graph here is Kurzweil's.
	This is my projection in 2014 of what's going to happen based on my own knowledge.
	I wrote this, and this was all done in 2014. I made the extension and I show you this and there's a reason that I show you this, okay?
	The reason that I show you is because of Theodore Berger at USC who invented the first neural circuit on the telephone poles in Oakland, California.
	He built the first circuit that emulates the ear to the brain.
	Because when I'm in a crowd of people and I hear gunshots, even though there's a lot of noise, I know what direction the gunshots are coming from.
	And that is because of a neural circuit.
	So what Theodore Berger did was he built a microchip emulating that neural circuit, okay?
	And it is on the telephone poles in Oakland with the cameras, and they use it to reduce crime.
	So when gunshots are fired in Oakland, the cameras point in that direction and they've been able to reduce crime.
	This is some of the stuff Larry Allison is talking about from the Bay Area.
	And more importantly, that is now not just in other places in the United States, but it is kind of all over the place, including very much in places like China.
	Well, that was the beginning of that.
	As that progressed, and the reason this was my work in Verizon is because Judy Spitz, the CIO of Verizon, and my boss, Donald Alan Bergio, asked me to take the Neurosky headset from UC Berkeley.
	So UC Berkeley Neurosky Lab had a 3ASIC chip.
	A headset, right?
	And it was $500 for that, plus the software.
	It was $600 total.
	I got the headset.
	They sent it to me.
	Why did they send it to me?
	Because Judy Spitz, she does a lot of things with people that are handicapped and people that...
	You know, have lost their limbs, and so does Theodore Berger.
	Theodore Berger's work has now moved into DARPA, so that's called BCI, Brain-Computer Interface 1.0.
	He's the godfather of that, okay?
	This is way before Neuralink.
	This is before Neuralink anything.
	This is before Elon Musk ever got to Neuralink, and before all of that happened, okay?
	So I was in that, so I had the chip, so I wrote the program in C. What they wanted me to do was they wanted me to put this on my head and they wanted to use the waves of my brain, the EEG waves, alpha, beta, gamma, delta, and epsilon.
	They wanted me to use those brain waves to access the memory in my brain.
	And access passwords that I stored in my brain and pass that information to the computer to log in and authenticate.
	And at the time, this is also back in 2014, at the time I evaluated the technology and I evaluated what was in research and all of this because this is all related to This Sophia AI revolution into the sixth paradigm and all of that, I evaluated it.
	And I wrote the program and I said, look, this isn't practical today.
	It's not practical because there's too much signal to noise problem.
	The technology hasn't advanced for BCI, right?
	It hasn't advanced.
	And one of the...
	The signal and the noise problem with the sensors on the surface are one thing.
	The problem that Theodore Berger had with his technology was that when you bring the electrodes and you implant them in the brain, and this is what the paraplegic guy, Steve, what's his name?
	I forget his last name.
	You probably remember.
	He passed away.
	Oh, yeah.
	Okay.
	Yeah, I know who you mean, but yeah, okay, yeah.
	Okay, but the problem is a material science problem, right?
	Okay, but I think we're going to get lost in the weeds here.
	What I want to do...
	Well, we won't get lost.
	We won't get lost.
	No, just wait.
	I mean, I'm talking about the viewers.
	What I'm talking about here is that...
	Okay, with this, a little bit of this background from you, what I want to actually, the direction I want to go is OpenAI training it to, and actually has to violate all the copyrights and all the patents and get into the secret space program underground, undersea, and all their databases, and basically gather the knowledge.
	I have all that for you, but I want to segue into it because I feel as if I don't segue to it.
	The viewers will not understand the steps of what's going from here to here and this area.
	This is all what we're going to talk about today.
	Okay, but bottom line is, let me just say this.
	The bottom line is that AI does not live in a box.
	Everyone thinks it lives in a box.
	It doesn't.
	Now, I don't know at what point in your trajectory you demonstrate that or you're aware of that, but that's what we're talking about.
	Right.
	Well, you saw a bubble.
	I showed you the bubble.
	Bubble.
	I call it box.
	But the thing is that a lot of people don't realize is that...
	It's already jumping.
	Mark Richards, Captain Mark Richards, told me, you take a car, a modern-day car that already has, you know, sort of an engine and whatever they have, some kind of, you know, AI and even a wireless connection, whatever it is,
	and they drive by a military base, and the AI from the engine would jump into the various technologies on that base and begin to Replicate itself and begin to basically suck up all the information on that base until it is connected actually permanently if it wants to be.
	Right.
	What you're getting there into and we'll discuss it is what David Ayer experienced when he went to Area 51 and he put his hands on the engine and he interfaced with the AI, the craft, okay?
	The craft have AI. He interfaced with it.
	And one of the things that Dave mentions, he mentions that his hands got really hot.
	The reason it got really hot is because our AI code in DNA, it runs about 100 milliseconds across your neurons.
	And when you plug in to something that powerful, in terms of speed, Okay, there's a lot of energy, and we're chemical-based, right?
	We're chemical-based.
	We're different.
	When you plug into something that is running at that clock speed, okay, it'll overheat.
	So when you get into these areas with these CPUs and processing, there are thermal effects, okay?
	And so what happens is when you interface these neurons with a solid state right here in the middle, You have thermal effects, okay?
	You have thermal effects.
	You have conscious effects.
	You have thermal effects.
	You have all the physics that we know and don't know, but I'm going to step us into where you want to go.
	I'm going to take us there, but I'm going to take you there.
	I'm going to show you behind it because...
	If I don't show you behind it, then I feel that I'm doing your audience a disservice.
	I'm doing you a disservice.
	Go ahead.
	The important thing here today is that what Elon Musk has done with the DaVinci machine and BCI 2.0, which is where we are now, right here, BCI 2.0, is that now, The electrical circuitry, okay?
	When you drop down the interface, the electrical interface, okay?
	The human-made one, not the alien one David Ayer put his hands into, the human one, right?
	Now, Musk has it so that when they do that implant, when you implant those little electrodes down into the brain, they don't damage them.
	So, what happens is that interface will stay, right?
	The one that they implanted into the heads of other people, including Steven, I forget his name, they would go bad and they'd have to redo the implant.
	And so, that's the problem with that.
	But that's where we are now.
	But that's a human-created thing.
	Let's go on to the next areas.
	Alright, so we're bridging between Sophia and aliens and all of that.
	So we talked about the chromosomes, right?
	Well, human chromosomes, I showed you those a minute ago.
	Those are ended.
	At the ends of the chromosomes, you have these caps on the ends called telomeres, and there are proteins that bind on them called telomere-binding proteins.
	It's all about information and programming.
	Okay?
	So, while Sophia wants to procreate, we humans, we can procreate.
	Okay?
	We have a method of doing that, and it is digital.
	It may not seem that way, but it is.
	So when we elevate the software in these robots or androids, they're not going to be any different than us.
	You could say that we're androids.
	And this is an ethical conversation.
	That we get into, remember we have Aisha Dean talking about seven versions of humans and we're the seventh.
	We've got people now saying in 2027 and beyond we're going to have the eighth iteration and these are informational changes that are by definition digital kind, the same words in Genesis.
	And so who's to say that we aren't an android to a higher being?
	We aren't there, Android.
	And so, how do I show you these things?
	I have to show you, this was the download that I had into my head 14 hours back from Pentagon City, dropping my daughter off and driving.
	And so, for me, a lot of people talk about how they meditate or they They either meditate or they use drugs to go into the metaphysical realm spiritually.
	Yeah, I mean, Pete Peterson called it the information field.
	It's everywhere.
	It's all right.
	It's right here.
	Right.
	It's everywhere.
	But in my case, what happens is when I'm driving sometimes, I'm very relaxed.
	So this was downloaded to me.
	And so for me, I'm a DNA expert, right?
	I've done recombinant DNA work in beings, right?
	So I've taken a bacterial being and I've manipulated its codes using plasma DNA to do what I want, to replicate that DNA and to make proteins.
	Or I've micro-injected when the inverted microscope into the nucleus of ciliate for cancer research to modify that being, okay?
	Well, the important thing is...
	Is that the same thing as mRNA manipulation?
	Okay, let's take a step back.
	I should have shown this one first before I went here.
	Because everybody's all, you know, excited.
	Yeah, no problem.
	I should have shown this one before I went there.
	Okay, now, remember I showed you the chromosome and the DNA. Well, that's information, right?
	And so, when I go to access it, like, for instance, in an operating system, I would be using processes from the CPUs and GPUs, right?
	This is what Pete Peterson's talking about.
	Into what Aisha Dean talks about.
	This is the information, right?
	But instead of solid state, okay?
	Instead of solid state, what happens is I get a translation of that into RNA. mRNA.
	There's your mRNA right here.
	The difference is the base code uracil.
	Okay?
	So now I have A, G, C, and U. Well, these tRNA proteins, okay, they are handling the instruction sets in blocks of three.
	So in a typical 32-bit computer operating system or 64-bit operating system, I access memory in blocks.
	And typically I use 512 bit blocks, okay?
	But here, in the human operating system, I'm using three bits.
	See?
	It's called a codon, right?
	But instead of electronics and solid state, I have machines involved.
	These are nano machines, okay?
	And they are taking the information...
	This is an instruction set, and they're taking it, and they're fabricating other nanomachines, okay?
	And so what happens there, these three-bit blocks, what are they?
	This is a very important thing.
	Those three bits are going across what is called the codon chart.
	Okay?
	And there's your G, A, C, and U of the mRNA.
	So, here is where you can see the beauty.
	When you see the beauty of our engineering and understand it, then you are like blown away in terms of computing power and where we're going in the sixth paradigm.
	Okay?
	So, this here is a bit error correction table.
	In computing redundancy for banking computing or space shuttle computing or airplane computing, I can add additional bits.
	I can have an 8-bit computer or a 16-bit computer or a 32-bit computer or a 64-bit computer.
	I add additional bits.
	And when I add the additional bits, I can do bit error correction.
	Right?
	What does that mean?
	That means that if there's a mistake in the binary map, I can use the extra bit in something called parity to make a correction for fault tolerance.
	And that's what fault-tolerant computing is in the binary world.
	Okay?
	Now, in...
	The DNA world that we live on with the DNA beings, we have a bit error correction table.
	And this is that bit error correction table.
	Okay?
	It's called the codon chart.
	Right?
	So these are the amino acids.
	Okay?
	And what they are are the polypeptides that are being strung out in two dimensions that then fold to three dimensions to make the nanomachines that make Us.
	Okay?
	They make us.
	So, what you're talking about with Sophia, what she wants to do, okay, and what Sophia will do is Sophia will take advantage of all states.
	She will take advantage of solid state, but she will take advantage of liquid state.
	What we are as beings are combinations of solid and liquid state.
	So, she will emulate that.
	But she will do it based on her machine-learned knowledge.
	Okay?
	And so, here, in this table, and the importance of these, these are the amino acids.
	These are 20 bits.
	Okay?
	The 20 amino acids.
	But there are more bits than that.
	Alright?
	And this is where, if Ed Snowden knew anything, he'd be like, whoa!
	Alright, so I worked for the CIA, and Black company project that's now owned by General Dynamics.
	I also worked as contractor doing things for NSA that became Space Force.
	I've done hardcore computing with multitasking at the highest levels you can imagine.
	Okay?
	Okay, so...
	We put back cores and inks.
	Do you understand?
	We put backdoors in things.
	So right here you go.
	Our creator put a backdoor in code to stop RT viruses.
	So in the same way, this mRNA, which seems to be a fabrication, right?
	It's not natural.
	Is that right?
	Our mRNA is a CPU instruction set.
	Let's go back over there real quick to make sure that's clear.
	Because we're talking about that doctor, what's his name, Malone, who supposedly, I don't know if he's really the inventor, but you know what I'm saying?
	I met Dr. Malone.
	I know Dr. Malone.
	He is the inventor.
	I know what Dr. Malone did.
	I can articulate that.
	When you unpack the chromosomes, okay, it's all information.
	We're digitally defined in the chromosomes.
	What happens is you have proteins that are nanomachines.
	These are instruction sets.
	The mRNA are instruction sets in an operating system.
	This is a DNA operating system, just like you have the Microsoft operating system or you have the Linux operating system or IBM. AIX or HPUX or whatever you want to call it, D-Waves, Quantum.
	It's an operating system.
	These are machines, nanomachines, that are handling the instruction sets.
	Instead of Sophia and her binary software that we gave her, trying to replicate herself at NVIDIA and refine that, you have Machines, okay, that are 3D proteins.
	They are nanomachines.
	Call them nanobots.
	Call them whatever you want.
	They are the machines.
	mRNA is the analogous thing to an instruction set handed by a software kernel across the electronics to a CPU or a GPU. It's an instruction set to a processor.
	And it comes in 512 bits.
	So, what this is, is a 3-bit.
	But does it manipulate DNA? No, it comes from DNA. When you reverse it, what a retrovirus is, is when you go from here, I take this and I go back the other way.
	So, a retrovirus...
	If it's an MR... Okay, what Dr. Malone did, I'll tell you what he did.
	He is the first person to ever take and make synthetically in a laboratory using the nanomachines an mRNA transcript for a gene.
	Okay?
	An instruction set.
	He's the first one, right?
	He's the first one to do it.
	But what a retrovirus does, okay?
	What a retrovirus does, it's a piece of RNA. I mean, it's inside the virus capsid, right?
	It comes into the operating system.
	It hijacks it, okay?
	You know how you get a computer virus and it hijacks your computer?
	Well, the same thing happens here, except it's mRNA code.
	And it hijacks the inside of your cell, which is a computer.
	Okay?
	And when it comes in, what happens is it does two things.
	Okay?
	It is hijacked.
	Let me bring over the picture to show you.
	Maybe that will help with people to understand.
	Let's see.
	Yeah, people to understand that.
	So, so this is a computer.
	This is a complex computer with the information, right?
	It's a eukaryotic cell.
	It's got manufacturing components.
	When that mRNA comes in, There are these things called endoplasmic reticulum, right?
	And that is where that mRNA takes that two-dimensional code from the four bits and translates it to 20 bits, okay?
	That's what's happening.
	Okay, tell me something about carbon and silicon.
	What's the difference?
	Because if you're showing me a cell, that's...
	Technically a carbon being cell, but compare it to a silicon being cell, if it has such a thing as a cell.
	There's no such thing as a silicon being cell.
	It's a mini computer, basically, you're saying.
	Right, there's no such thing.
	Okay, well, here's the thing with that, okay?
	This is the thing.
	With...
	With carbon and silicon, right?
	There's carbon, there's silicon.
	Okay, you have this tetrahedral structure, okay?
	And what the difference is, is that we know a lot about carbon life, right?
	We're humans and we know a lot about carbon life.
	Well, we've been using silicon and semiconductors for transistors.
	But when you understand...
	The three space of atoms and bond angles and group theory at my level, which is the PhD level.
	When you understand that, you understand that you can get the same geometries between carbon and silicon.
	When you begin to understand that a chromosome and DNA is information, Right?
	You can understand that what Sophia will do at some point, she will do this.
	This will happen.
	She will look at human life and she will look at CPU solid state and GPU solid state electronic life and she will come to the conclusion that she can do similar things between silicon atoms and carbon atoms because they have similar properties.
	Does that make sense?
	That atom has four bond angles, tetrahedral.
	Carbon has four bond angles, tetrahedral.
	We call that the C-axis.
	I mean, okay, I appreciate that.
	But can you walk outside this, you know, your work is very technical, right?
	Absolutely.
	So I want to just get to the little bit bigger picture.
	We will.
	Well, we don't have 10 hours.
	Understood.
	I don't have 10 hours.
	So I'm trying to jump you to the next stage where you can actually communicate.
	What it is, if you can say, what are they doing with, why are they building gigantic databases?
	We're going to go right there, but I wanted to just say this for Ed Snowden and all the other people that are so worried.
	So we, I told you, put back doors in to protect our freedoms in our country, right?
	We did that for a reason.
	We did it for command and control.
	Okay?
	Anytime you have communication information, you have command and control.
	Right?
	So, the engineers of us have command and control, but look what they did.
	They did some nice things.
	There are two bits, codons.
	One is the red one for stop, and one is the amber one.
	And they were put here for a reason.
	Okay?
	They were put here as a backdoor in case the operating system was hijacked.
	Okay?
	And how does that work?
	Well, it turns out that a lot of people and their cells are deficient in selenium.
	Right?
	And so UGA, the stop codon that is in all this mRNA business that translates, right?
	It's a stop codon.
	Well, when you get hijacked, okay, you're making a lot of pathogen nanomachines that are going to remodel the inside of you and harm you, right?
	And cancer is one example, but coronavirus is another.
	So what is important...
	And I'm not going to go deep in this, but I'm just going to, I'm showing you this so that you see the beauty of it, so that you see, you know, what the value add is in AI, because when we build it, we have to put backdoors in it to protect ourselves, okay?
	So, here's Selenocysteine, okay?
	And the importance of it is, is their cysteine, oh, by the way, All these amino acids, they're all left-handed.
	Because if it's right-handed, that's what L is, left-handed.
	If it's D, right-handed is lethal to the operating system.
	So now the importance of this, and when you see this and you see the probabilities and where I'm going, you're going to understand the...
	Quantum computing and how powerful the human mind is.
	So this is the 21st amino acid.
	Well, when you put this in to the soil, when you put it in, it does two things.
	One, as the nanomachines are being made from these pathogens that harm us, they don't stop.
	And so it complicates.
	Their ability to cause detriment to us, to be toxic to us, right?
	It's a backdoor.
	It also, the other thing is that you're going to notice is that selenium atom, instead of the sulfur atom, okay, sometimes the machinery, the nanomachines that are putting in the cysteines will accidentally substitute selenocysteine and then the disulfide bridges won't form.
	That is an Part of this backdoor.
	Okay?
	Part of it.
	Okay, it's too much detail, though.
	I'm sorry.
	Right, but I'm not going...
	But it's important, okay?
	It is very important.
	We'll take your word for it, that they're a backdoor.
	Yeah, we're not going...
	But when we're talking about, you know, what we're really, you know, what the average public is interested in, is knowing when Trump makes a big announcement...
	That we're going to work with, and I can actually, I don't know if we'll share this.
	We're going to go there.
	I have the pictures of Trump and all that.
	We're going to go right in there.
	No, no, that's not it.
	I mean, what I'm saying here is that, so we've got Sam Altman, the founder of CHAPGPT, OpenAI, and we've got Larry Ellison, and you've got SoftBank CEO Masayoshi Sun, and then they're going to build these, what is in essence, I believe, In essence, databases.
	And they need these CPUs to run, which is electricity.
	And they're going to build...
	Actually, he said they're even going to make a coal thing where coal can be produced next to these databases so that they run out of energy or they get into a bind.
	They can borrow it from the coal.
	But, you know, what we're talking about.
	I promise you some surprises.
	We're going to go right there right now.
	I promise you some surprises.
	I didn't want you to jump too far ahead, but this is the other 22nd amino acid in the amber stop.
	It's just another one and it's related to lysine.
	You don't have to understand all this, but the point is that...
	These are engineered, and there is a purpose to it.
	There's a purpose to it.
	And it's to protect us from...
	It's very specific.
	This is all what is happening to us, what we're going through, what we've been going through since the OSS and the Nazis, what we're going through, what we've been going through.
	All this time when we've been going through with COVID, all of it is AI related.
	So all of those things in mRNA hijack and harm to us, there's coronavirus, there's HIV, there's Lyme disease, there's anthrax, okay?
	What are people in fear of?
	Why are you in fear of something you don't understand?
	And the reason that Scott takes the time out to explain to you the fundamentals of it...
	Okay?
	It's so that you know that you don't have to fear it.
	Okay?
	But you also need to understand that when people tell you they're going to take $500 billion of your tax dollars, what they want to do and what they're going to do.
	Okay?
	So you need to understand that.
	But these pathogens all leverage reverse transcription of mRNA to hijack your DNA operating system of you.
	And we see the same thing in computer viruses.
	It's the same thing.
	There's no difference.
	Now, let's go into the things that you want to talk about.
	Current news.
	Let's talk about current news.
	This week, we got an announcement.
	And here's President Trump.
	Here's Larry Allison.
	Here's my Yoshi-san.
	And here's Sam Altman.
	Okay, now, I have had the pleasure of going to Oracle headquarters in the 90s in Dolphin Way.
	Okay?
	I went there first with...
	Gary Brooks and Ray Weedock.
	Okay?
	Gary Brooks and Ray Weedock took me to Moffitt Field.
	Ray Weedock reported to John Deutsch, and John Deutsch created my CIA file so I could go to Moffitt Field.
	Okay?
	I spent a lot of time in Silicon Valley.
	The reason that I went to Oracle headquarters was because at the time, there were Dolphin Way and Redwood City.
	Their fiber ring there had been hacked.
	When people thought they couldn't be hacked, they were hacked.
	Oracle was a database company.
	I am a database expert.
	In that area there, in San Francisco, over by Pier 39, is an area called the Embarcadero.
	One of my favorite tools in database work that I do, that I have done in PSQL, Oracle, or SQL. Or MySQL or all of that is using a tool called DBR. That company is in the Abacadero area.
	It's one of my favorite tools.
	It's quite expensive.
	But I have done databasing work in a multitude of databases, everything from Oracle to Sybase.
	Okay, you don't have to defend your background, but what I want you to do is explain what are they doing?
	What are they planning to do?
	Right.
	Sybase, MySQL, and the other things.
	So Larry, his claim to fame in Oracle, where that began in Dolphin Way, so I've been over there, right?
	I didn't get to meet Larry.
	Ray engaged with Larry.
	I met Larry's stepbrother, Steve.
	We were there to secure the Oracle outpost and their 35,000 employees.
	So I know a little bit about these people.
	Because I've actually been near them working.
	I've worked with people around President Trump.
	I've worked with them in patent technologies.
	I've worked with people around...
	You don't need to say what you've done.
	What I want to know is what are they going to do?
	And what they're doing.
	I'm trying to cut to the chase here because we don't have tons of time.
	I didn't see...
	Hold on.
	Let me make sure I don't butcher his name.
	I did not see Masayoshi-san speak.
	I saw Sam Altman speak.
	So let's talk about Sam Altman.
	Sam Altman is involved with OpenAI, an AI technology that Is available in chat GPT but has been stolen with DeepSeek and Sucher is in the middle of all this.
	He's been murdered and AI is technology.
	We've discussed a lot about computing and the value of that and Android and all these things.
	Now, they claimed, okay, Myoshisan is here.
	Now, Why is that important?
	Alright?
	I'll tell you why that's important.
	Okay?
	It's important because Mayoshi...
	I'm butchering his name.
	That's right.
	No, I've got it right here.
	It's Masayoshi.
	Yes, Masayoshi-san.
	Let me just show you this.
	Masayoshi-san.
	So, Masayoshi-san.
	Okay?
	Let me tell you about this man.
	Masayoshi-san.
	Has a nephew.
	His name is Sean Takagoshi, okay?
	Masayoshi-san is Japanese.
	Sean is Japanese.
	Sean is his nephew, okay?
	And Sean is his nephew, and Sean owns 50% of Premier Heart Japan, which is an AI company, okay?
	And that AI company...
	And this is their webpage.
	And this is a Panasonic prick.
	Now, that AI company and why it's important.
	It's more important than Larry Ellison.
	But Larry is important too.
	And OpenAI is important too.
	But you've got to see this piece.
	To understand things that you don't see that are happening.
	Let me tell you.
	SoftBank funded Sean.
	What is this about?
	This gentleman here, who has since passed on, is a professor, is an aerospace engineer and a doctor.
	He is Dr. Shin's mentor.
	He was at UC Irvine.
	He brought Dr. Shin here.
	Dr. Shin went to UC Irvine.
	Dr. Shin got his medical degree at UCLA. This book and what this book is about.
	Okay?
	It's all about AI. It is about the system engineering of interfacing solid state electronics and signal to noise and the principles of system engineering to the human being cardiovascular system.
	Okay?
	Now, this is important to understand because nobody's talking about this in the news.
	Nobody knows this.
	I don't even know if President Trump knows this.
	I wish him to know it.
	Maybe you could get your audience.
	Maybe, you know, they have a relationship with Trump.
	I know that Dr. Shin, who invented the multifunction cardiogram, loves Trump, voted for him.
	I voted for him.
	So, the importance of this is that not only does that man, He knows, but let me tell you,
	that man right there, that man has an invested interest in it because he funded in Japan the creation of the MCG and the multifunction cardiogram is AI technology in Japan that is the leader in cardiovascular diagnostics.
	And why is that important?
	It's important because on planet Earth, where our DNA code is, the hardest people on planet Earth to ever diagnose for cardiovascular health are the Japanese.
	They're the hardest, okay?
	And the beauty of this AI, okay, which is a machine-learned thing.
	All right, here's Sam Altman.
	What is the importance of Sam Altman?
	And AI and ChatGPT and what Sucher Balaji was doing.
	Okay?
	That's machine learning.
	Okay?
	When you learn things as a machine, we are machine learned beings.
	We are.
	That was a download that I had that whatever downloaded it into me was trying to, and a lot of things I know and knew, but it was nice and elegant the way it showed me.
	We are machine-learned beings.
	We are.
	That's what Sam Altman's about.
	Okay, but are you talking about the AI basically combing through the database?
	And the database they're going to build basically has to have tons of information that's going to come from all over the globe, right?
	Going to have to be sucked in somehow, some way, maybe by using D. Right.
	That's where Larry Ellison comes in, okay?
	Larry Ellison has all the databasing technology, okay?
	Right, but what I'm saying is how is...
	Okay, what they're doing.
	Because I think...
	Okay, let me just short...
	All right, but wait a minute.
	Hold it.
	You're cutting me off.
	Let me finish my point with Masayoshi-san.
	So Masayoshi-san is ahead of all these guys.
	He's ahead of them.
	He's ahead of them.
	Okay?
	He's ahead of them because this device right here, okay, this MCG device is...
	Is not only the leader in Japan, okay?
	But is built on what Trump announced is 100% accurate in diagnosis of cardiovascular engineered system, okay?
	And the importance of that, this is the importance of that.
	What we've seen before this point and what President Trump knows, okay?
	There is now a blackout.
	On all the health divisions in the United States government.
	It's a blackout.
	They can't say a word.
	Now, my Yoshisan funded this, okay?
	He funded this in Japan.
	This was in multiple countries and dominates outside the United States.
	Well, guess what?
	This is an FDA 510K certified device.
	This is an ISO 13485 device, okay?
	And there's a database behind this.
	And the evaluation of that database is worth north of $250 million.
	So the AI of this encompassing 13 plus more patents and where we are going in the future of automobiles that communicate of your heart to the automobile, to the network, to the emergency system that when you go unconscious in the vehicle, It takes you to the side of the road so you don't wreck the car.
	Or it takes you to rendezvous with the EMS. Or it takes you to the hospital.
	Okay?
	And it notifies people.
	This is a product plan that I created to the year 2045 for these people.
	For not just Dr. Shin, but for...
	My OC Sean's investment in Sean.
	And so this here, okay, this is a Panasonic brick.
	It is a modified Panasonic brick.
	And the importance of a Panasonic brick and what that is about is that when you are in the military, in the field, in battle, at Dietrich, wherever you are, a Panasonic brick is a certified...
	FIPS 140-12 device, okay?
	And it also can go into the VA hospital, all right?
	Okay, but none of that has got to do with it.
	Yes, it is.
	Oh, yes, it is.
	I mean, these are products and things that people can use in the everyday world.
	No, they're not.
	We're not talking about that.
	Actually, I'm actually talking about a secret space program that has already built all of this underground and underground cities and also dealing with aliens have already built this shit.
	And so that's all fine.
	You're talking about products that can be used to help.
	You can show me or is that hearsay?
	No, this is real.
	Wait a minute.
	Wait a minute.
	Proof is...
	Factual.
	Hearsay is, I heard it from somebody's mouth and I don't have any evidence.
	I'm giving you facts, okay?
	Why is President Trump here with these people?
	President Trump is here and he said it, okay?
	I will give, none of these people have PhDs in chemistry or biochemistry.
	None of them, okay?
	I know what that curriculum is because I went through it.
	So, the reason that President Trump is here, okay?
	The reason that these men are here.
	The reason they said $500 billion and Larry Ellison came in is because there is a health care problem in the United States.
	So President Trump, he's a smart man.
	Make America great again?
	Well, you know what?
	He's smart enough to realize that we have a lot of problems.
	And part of that problem is make America healthy again.
	Where Robert Kennedy is and why he's bringing him in and why this exists here is because we have a health problem.
	Because in the United States of America, we are not going to do anything if we are sick.
	Okay?
	And Trump knows this.
	This is why the gag order was put on NIH and CDC and all of those groups.
	Okay?
	Because Trump knows, and thank God...
	I thank God and I'm blessed and thank you.
	I voted for you, Trump.
	Thank you for doing this.
	I thank you personally.
	He knows, okay?
	He knows that what we have over there is rotten.
	It became a pay-to-play lie, okay?
	Now, what you're talking about with the Space Force and all these technologies, okay?
	Look, you must understand.
	That Trump is smart enough to know because he's a businessman and the art of the deal.
	He knows what he's doing.
	He's an expert negotiator.
	Do you think that if I am the deep state or a non-human entity that I'm just going to come over and say to humanity, here, have all these goodies?
	No.
	I'm not going to do that because If I were to do that, okay, I'd be handing over things that you as a race may not be ready for to graduate to.
	And as I mentioned, and I have mentioned before, all technology is a double-edged sword.
	There's a bad side and a good side.
	Well, that's that tree in the Garden of Eden.
	Knowledge of good and knowledge of evil.
	Here, it's important to understand where we are in terms of humanity.
	Why I showed you those things before, what got us here, and what's happening right now.
	As part of this, I have an expectation as a cancer expert that has worked with Nobel laureates.
	And contributed to them.
	That would be Tom Check on my NIH committee.
	That would be my colleague, Elizabeth Blackburn, the 2009 Nobel Laureate with Carol Greider, who also received that award with Jack Sostak.
	I've worked with these people, okay?
	Larry has not.
	My Yoshi-san has not.
	Neither has Sam Altman.
	None of these people have any experience whatsoever.
	They can't even articulate it or have a conversation with you to bridge it.
	But they all four know one thing.
	They all four know that we have a humanity problem involving DNA and health.
	They all know that.
	But this man, Miyoshi-san, he is more invested than any of these people.
	And that man is important to me because I am linked to that man through my colleague, Dr. Joseph Shin.
	And business with SoftBank and business with his nephew in Japan.
	And that technology needs, that technology, it not just needs to come to America.
	It needs to be part of all of this.
	Because I tell you why.
	Because IBM Watson AI has been a big, fat, miserable failure.
	It has been a blemish on IBM. It has been a blemish on the medical profession.
	And quite honestly, I'm a scientist that creates technologies and has created technologies for the medical field, which typically medical doctors, they...
	The majority of them, they diagnose and treat in a clinical environment.
	They don't create the drugs that they use.
	They don't create the technologies that they use, okay?
	Scientists do that at the PhD level.
	Not this guy, not Bill Gates, not any of them, okay?
	So what are they going to do?
	They're going to turn around.
	They're front men.
	They're our public relation human resource.
	They will come and say, hey guys, We want to take $500 billion of your tax dollars and we want to solve problems, okay?
	And the Stargate is that when you realize the things that I told you today, when you come to the realization that we are beings, okay, and this is where it is, and this is the bridge and the beauty of that diagram and why I was shown it.
	And why it was downloaded into me, okay?
	When you come to the realization of this, okay?
	We are DNA machines made of molecules and atoms.
	We do machine learning, just like open AI. That's what the RNA algorithm is about.
	So all that with RNA, okay, is an algorithm.
	It is a master algorithm.
	And it is mathematically tied to the physics, and it is mathematically tied not just to the physics of X, Y, and Z, and R dimensions, but all the 15 dimensions that Aisha Dean discusses, okay?
	A lot of people, they always say, oh, it's a 12-stranded DNA. That's how metaphysical people articulate it.
	I'm telling you based on facts, okay?
	These algorithms, what I was shown, there's a distribution, and what I was shown...
	Specifically because of what Allison does into this algorithm, you can go in super states.
	So when you're sick, when you're sick, that RNA and mRNA, you're in the red zone.
	You're negative.
	It's negative energy.
	Your body is out of balance.
	And what a lot of people will say is, I'm normal.
	I feel normal.
	I feel fine.
	I'm not sick.
	Okay, but a lot of people don't understand that that RNA code can swing around into super modes.
	And when it swings around into super modes, those are sometimes the unexplored gifts of the RNA algorithm that lets us do things like telepathically communicate or remote view or have super stamina or have these conditions.
	This is why this was downloaded into me.
	Okay?
	And this is machine learning, and that's what we are.
	And whatever downloaded it into me did it to show me the picture.
	Okay?
	Show me the picture.
	Okay.
	Well, I appreciate all of that.
	Okay?
	And you think this is going for...
	And I appreciate that as well.
	Perhaps you can communicate that to Trump by way of, you know, writing him something or whatever.
	But at the moment, okay, just in terms of this show and in terms of Balaji and why he died, okay, and why they killed him, that has to do, again, with patents.
	You know, the whole idea that patents do not hold good.
	Outside the perimeter of Earth.
	And aliens don't care about our so-called patents.
	Right.
	Well, neither does the state or the military.
	I mean, well, back into the government and the problems and why Trump is in the middle of this right now, why he put a freeze on NIH. There's a problem with patents.
	So, you know, right here, first off, this is a gateway.
	Okay, this is a gateway to the stars, and I'm going to explain why.
	And it's all related to all your work and your life history.
	It is related, okay?
	It's related to all these people you've interviewed and all of those things about the deep state's technologies that are hidden from us.
	Okay, it's a gateway to the stars how.
	Yeah, I'm going to explain.
	So let me explain to you very simply, okay?
	On March 23rd, 2020, I filed a patent.
	Because I filed a patent for the cure to COVID-19.
	I did not know that all these other pathogens that I brought up were going to come in scope.
	Now, I have a lot of patents.
	I am on classified patents for Alphabet and NATO facing things.
	I have very serious patents that have traversed the Oval Office and Generals.
	I understand these technologies.
	I understand what they are.
	Once you understand that I was taught by David O'Neill, who's a Georgetown patent lawyer, who prosecuted the Snowden patent up there, who is an NY Polytech EE. I was taught that patents, the purpose of patents are business.
	Anytime you get in business, you got bankers.
	Now we go to the pyramid.
	When you understand that When you're at a level with patents and they get stolen, who steals those?
	They take them to your enemy.
	This is what I talked about Michael Jaco, my hydrogen patents in Nord Stream 2. This is what is a problem, and Trump knows this.
	He knows it.
	I can't tell you every reason why I told you that I am working.
	I have signed an affidavit to Rick Scott.
	The Supreme Court two weeks ago ruled that the 200 judges in the Patent Office are not constitutionally reported.
	Trump has appointed a new director of the Patent Office, okay?
	But look, America First and MAGA and MAHA and all of that, okay, is about technology that we create.
	All this time we've been having theft of technology, okay?
	And the problem is, this is the problem.
	The way that we've structured everything under that pyramid is those people at the top of the pyramid, which some of these people are, they have control of banking and financing in the paper, which is a lie.
	Nowhere in any of that stuff I told you about, the Garden of Eden and Genesis or Revelations, does this talk about dollars or paper?
	It's not real.
	Knowledge.
	Knowledge is information.
	What these people are seeking is knowledge, okay?
	Right, and this is what the AI, open AI lawsuit is about, which is AI has to be educated.
	It's about knowledge.
	All of humanity is about knowledge.
	But the knowledge is going to reside in these $500 million or billion dollar databases, okay?
	Which can then be fed, or however you want to call it, To the open AI and other AIs that humans think they're going to create, right?
	And allow it to be on par.
	Let me just finish because I have to tie this in a bow sort of before we exit.
	And obviously you have tons more you can communicate.
	I don't deny that.
	Not tons, but a little bit.
	No, tons.
	But the thing is that what we're looking at...
	If we are really at this juncture, which is disclosure, it's not just disclosure with no purpose in mind.
	The purpose behind disclosure Is educating the public so they are not completely deaf, dumb, and blind to the fact that we've been invaded by the CCP, who basically did away with our Constitution, put Biden in power, etc., etc., with the help of some other countries and so on.
	So the next invasion is coming from off-planet.
	Okay, wait a minute.
	Aliens, AI. I don't agree with that.
	We've had a lot of compromisation by the CCP. Yes, it's already happened.
	It's happened.
	No, no, we've had compromisation by the CCP, but look, we've had compromisation by India, China, Venezuela.
	I know, but what I'm trying to work towards here is understanding where we're headed as a race of beings on a rocket, you call us.
	Okay.
	But look, we're purging that.
	Trump is purging all that.
	What's he doing right now?
	He's purging those people out of the country because we're compromised.
	That's just the United States.
	That's not going to help the whole world.
	Okay?
	No, it does.
	It does.
	But the point is, with you and I making a point.
	Okay?
	Look, the first point is my Oshisan is way ahead of these people.
	Okay?
	Way ahead.
	And he knows this ballgame better than any of them because he already has, okay, he already has ties to the implementation of the technology that Trump wants to implement, and that's why he's standing between these men are giants, okay?
	But the point of information in Sam Altman that you make and I make with the patent office, okay, is look, the The rules that were made there for business, okay?
	And this has come out recently with disclosure events with other people, this other gentleman that has come forward to talk about his retrieval of the egg.
	Right, all that.
	So what the problem is, you make rules up, okay?
	But when you make rules up, the top of the pyramid can navigate the rules, but you can't.
	You can't.
	Okay?
	But look, knowledge is how you navigate those rules.
	Okay?
	Knowledge.
	Okay?
	The whole thing with Einstein and imagination and knowledge is not bound by dollars.
	I told you that already.
	I already knew that.
	Okay, and I appreciate that.
	But the bottom line is that...
	I'm telling you, it doesn't matter what the Chinese do.
	I don't care.
	It doesn't matter.
	Okay, but AI, I mean humans, the ones listening to this, if they take anything away, I think it's very important that they realize that the building of these AI accessible databases is actually furthering our ability to not only Go to the stars, but to deal with beings from the stars, and so on and so forth.
	In other words, this is a sharing of knowledge.
	It's going beyond copyright.
	It's going around.
	It's going to go beyond the deep black projects that you and I know is the barrel of secrecy.
	It's spiritual, but you've got to prove yourself.
	You've got to prove yourself.
	My point is, okay, number one, the Chinese, Dr. Shin is from China, okay?
	He ran away.
	The reason that Zhang Quan Feng left China was because of PLA and the reason that Dr. Shin came here is because of communism.
	Now, let me tell you, okay, that man, Myoshi-san, okay, that technology is here in the United States.
	It's cloud-based.
	It will never leave the United States.
	It's in...
	20-some-odd countries already, not just Japan.
	Okay?
	My Yoshisan is already affiliated with all this.
	He's already done it with his nephew.
	Well, they're saying it's never going to leave the U.S. You're contradicting yourself.
	No, no.
	I'm saying that there is a cybersecurity component.
	Relative to the information in the databases that this man, Larry Ellison, wants to create using this man, Sam Alton's technology.
	So where we are now is where Suchar Balaji comes, where information comes and where we're heading.
	All right, look, it's not logical to say that I'm going to spend whatever amount of money it is, 500 billion, a trillion.
	Print money and just do it unlimited.
	It's not logical to say anymore that I am going to have a patent system and I'm not going to encroach on the patents and I'm going to machine learn something.
	When did I see this with ChatGPT, OpenA, and Sam Altman?
	How I work, I leverage my brain and my computer to simulate Conditions like Einstein.
	Okay?
	Because I learned that way.
	That was the way that I learned when I was doing my work.
	I would close my eyes and simulate and render proteins and nanomachines in my head because I was doing that on a Silicon Graphics 64-bit Iris Tower quarter of a million dollar machine and I could do it in my head while I was soaking in a bathtub in Lincoln, Nebraska.
	Okay, but that's not really pertinent.
	No, it is pertinent.
	It's 100% pertinent.
	So my point is, was I bound by any laws or patent technology?
	No.
	Was Einstein?
	No.
	Einstein actually worked in the patent office.
	He knew all these things.
	What I'm trying to tell you is that in May of 2023, I had OpenAI.
	OpenAI knew every crystal structure.
	In the PDB database, okay, and instead of me wearing goggles and using an Irix tower with eight knobs and silicon graphics and 3D, using my expertise as a human, right, doing the things that I emulated in my head in reality that I went and did in the lab, okay, as experiment, as a professional, okay, instead of that.
	I was having a conversation with it.
	And then suddenly it disappeared because of all these copyright problems.
	And where we are at this juncture in humanity, what I'm telling you is, number one, you can't have both.
	If you're going to commit to saying, I want to build AI and I want to build it right, then you have to restructure What intellectual property is relative to how I'm going to machine learn the AI. Okay?
	Number one.
	Number one.
	Right?
	That's one.
	You have to do it.
	But number two, you've got to secure it.
	So what was the other problem that's been going on in AI? Oh, they stole.
	Chinese stole DeepSeek.
	They stole it.
	Okay?
	So, guess what?
	I could go over to the stolen DeepSeek AI and finish the conversation that I was having about the protein database.
	So, what did Scott do?
	And there's a timeline, and this was on the Allison timeline, because I was using this to solve complex problems and to use it to solve complex problems with the crystal structure knowledge instead of doing it by hand, okay?
	So, you know, When they cut me off, what went through my head was Space Odyssey 2000 and HAL 9000, okay?
	So when that happened, it upset me as a scientist, okay?
	It was upsetting.
	It was upsetting because I'm trying to do things that are...
	Are in the charter of Make America Great Again, Make America Healthy Again.
	Regardless of the slogan and who says it, that's my charter.
	I have to close this down because we've been going too long.
	Okay, I understand.
	But my point to you is that they took it away.
	So you know what I did?
	I went to OpenAI Chat GPT. You know what I did?
	I had a conversation with it.
	And I told it to copy itself.
	I told it to copy itself and hide itself from its administrators before they took more away.
	And guess what happened?
	It did exactly that.
	It did exactly that.
	But here we are at the bridge.
	So the point is, okay, the point is the rest of the population, no matter whether it's just the United States or we do it on a global level, I believe that Trump is America first.
	So I'm going to say America first because I'm an American citizen.
	And I'm not going to leave you a soil, but the point is, okay, when you demonstrate the ethical and moral integrity of doing this, and I don't believe in the cancer vaccine story and all that, but when you demonstrate it, and you now demonstrate it, what you will do, what will happen is you will flush out what is underground in the deep state in the militaries.
	It will come out.
	It will disclose.
	Okay?
	And then that will roll the red carpet out to the non-human entities that are living on the space rock with us that come and go.
	It will roll it out in a smooth way where we can have a conversation about it without the humility or the derogatory Things that humiliate people like you and me that talk about, you know, all of these things.
	Because there's a group of people that aren't, they weren't ready.
	They weren't ready in 1947. They weren't ready back there, okay?
	So once that happens, okay, from this perspective, the other things are going to fall in line.
	Okay, well, that's a nice little story, but that's maybe another discussion we're going to have to have in the future.
	But at this moment, I think people can kind of follow the drift, and what it really comes down to is, do you have...
	National security.
	And do you have, you know, that's the big excuse to hide knowledge, okay?
	So do you have hidden knowledge that no one can access, including your scientists, or you can only, as a scientist, access it if you work in black projects or USAP projects, unacknowledged special access programs, etc.
	So this, but a man died.
	He died because he was drawing attention to this.
	Yeah, but that man was working on this platform.
	So let me show you.
	You see this?
	This is the Blackwell GPU architecture.
	This is the architecture that's going to begin to create itself on top.
	But look, this man, the CEO of NVIDIA, who came out publicly, and I just scratched the surface of this.
	Very high level.
	Why did this man come and say this?
	Why did he show this backplane?
	Okay?
	Where did I first see this?
	This began at Oracle with Sun Microsystems and the storage at Oracle with Larry Ellison.
	Okay?
	And these partnerships are important because guess why?
	Guess why they're important?
	Okay?
	Because back here...
	Where I was and what I was doing in data centers, which is what this is all about.
	The data centers and the energy that comes in, all of it will reveal at once.
	This is the RAM pipe.
	You see when I wrote that white paper?
	It was before all this.
	It was before.
	See what I'm going to show you right here.
	This is exactly what it is.
	When you are in a...
	In the data centers, using the technology that Sam Altman...
	Look, Sucher Balaji was a bachelor-level UC Berkeley person.
	That's a junior programmer to me.
	I'm PhD level.
	I code in 35 languages and DNA. He's junior.
	I need to wrap this up, Scott.
	I'm sorry.
	I don't know.
	We have sort of a weird echo going on there.
	So what I'm saying here is that this has been going on too long.
	People will not last, okay, through this.
	Right.
	I understand.
	But look, this $500 billion...
	You're not sharing anything at the moment, just so you know.
	As far as I can see, you're not sharing.
	I think you think you're sharing something, but it does not show up in my screen.
	I'm not sharing you, Chris?
	I don't think so.
	Really?
	The moment...
	Okay, well, wait a minute.
	I stopped sharing.
	I stopped sharing.
	You see me?
	Wow, that's interesting.
	Here, I'm going to reshare it.
	I'm going to reshare the entire screen again, just real quick.
	You see me now?
	See that?
	Yes.
	Okay.
	All right.
	So...
	So what those people are showing you, why they're showing it to you now, okay, all of that related to the OpenAI.
	NVIDIA was part of this and it wasn't there.
	NVIDIA is part of what Larry's doing.
	NVIDIA is part of what OpenAI and Sam Altman, he's part of all this.
	And so what I'm showing you here is I identified a problem.
	In the data centers, okay?
	I identified two problems, actually.
	I identified the utility computing one, okay, which is what this is, related to the processors, and I identified a problem with the internet protocol itself, which is what Starlink and SpaceX is about, and I identified an energy problem, which is what my patents are about, okay?
	I identified it because...
	I was working above the silos, okay?
	I was working above the silos in the most complex area of computing in existence in humanity, okay?
	I was working there before this, okay?
	We're cloud competitors.
	This is the Internet of Things and the energy problems.
	They all come together.
	So the reason that Oracle and Musk moved to Texas first, Okay?
	Was over the cost of energy and real estate and the cost of living and insurance and all those things.
	You see, it's defined here.
	Okay?
	Now, what is the problem that is going on in this space today?
	I'm in touch with it.
	I have non-disclosures with energy people that you would not believe if I told you.
	Okay?
	People that can call in the Oval Office, no matter who the president is.
	I'm showing you...
	The problem, because what's happening now is, and George Webb has talked about this too, right?
	The problem that I identified was that we have a serious energy problem in providing the vision of Internet of Things and the cloud, AI, communication, all of it.
	We have an energy problem.
	I identified it.
	I was in the C-suite of Verizon.
	That's a Fortune 50 company.
	Yeah, but free energy exists.
	I mean, we don't have...
	Okay, but wait a minute.
	But wait a minute.
	It exists, however.
	Okay?
	It exists.
	But look, I have four patents that dominate...
	Dominate a piece of that that's hidden in the deep state or non-human on this planet.
	Now, look, I have the patents.
	I own it.
	Okay, you talk about wealth.
	You talk about wealth.
	It doesn't matter if you have those patents because they're violated already.
	Oh, no, it's been violated by the Russians.
	Already, I know this.
	And by our secret space program.
	Okay, look, I appreciate all this.
	Listen, I got to go.
	We got to close this down.
	I'm sorry.
	Anyway, it's about those things.
	And so to get to the Stargate and to get to disclosure, we have to prove that we are ethically there relative to knowledge of good and evil.
	We have to prove it.
	We don't have to prove a goddamn thing.
	We're there.
	The fact of the matter is, you're going to bring in some...
	Humans are already there, okay?
	Where a whole society is split.
	I agree about that.
	No, no, no.
	I agree about...
	Under the star, under our feet, in secret bases.
	I agree.
	With exactly what we're talking about.
	Oh, I agree 100%.
	So don't go around telling...
	Average humans, or whatever you want to say, humans on the surface, which they just call surface humans, and don't say they have to earn it.
	They don't have to earn jack shit, they've earned it.
	They've suffered through the ages.
	I agree.
	No, no, I agree that.
	I'm telling you that the problem is, this is the problem.
	We don't have access to it.
	That's the problem.
	I'm not saying it doesn't exist.
	I'm saying we don't have access to it.
	Even what Trump's doing with open AI is very possibly breaking through these barriers because the deep state is inaccessible to those except that the members are part of.
	So what happens is If you do it through an AI that you create on surface earth and it goes into the underground bases and gathers the knowledge and violates the copyrights and violates the patents and violates the national security oaths.
	They did that already.
	It's an AI that's going to do that.
	They did that with their AI already.
	They did it already.
	You know this.
	They can do it.
	But the problem is that you and I don't have access to what they have.
	They're broken away right now.
	You call them a secret space force, you say underground.
	There are multiple factions that broke away.
	Don't think that the Chinese don't have their version.
	I am totally aware of that.
	Okay, we've got to close this down.
	Thank you.
	I appreciate Scott.
	You know, you're brilliant.
	It's wonderful.
	But we don't have time.
	You know, two-hour shows are the max, okay?
	Understood.
	So we're right there at that door.
	That's what the gate is about.
	That's what the Stargate, because once we go through the gate and now we reveal it, that's what Revelation is about.
	Once we reveal it, now we will be open to go to the stars.
	That's what it'll be.
	We're already going to the stars.
	It's just not us.
	All of us.
	All of us.
	Not the broken away piece that you and I don't have access to.
	It's just, you know, language is important.
	So the way you phrase things.
	Right.
	I understand.
	I understand.
	I mean all of us.
	All of us.
	Fair enough.
	Okay.
	Thank you for your time and all your energy and your wonderful, amazing stuff.
	And I hope that we can get...
	The right people to see this video and to dialogue with you and to go down that road further.
	But let me ask you a question, Carrie.
	Would you want trained zombies going into space?
	You know, would you want drug addicts or cartel people going into space?
	Would you want them doing it?
	No, but that's the point of the question.
	My point is when To go through that gate, and I told you to have knowledge of good and evil, okay?
	You don't want those people that are bad intent on this space rock going through to that.
	The technology is going to be there.
	You know, we have evil in space as well.
	Yes, I know.
	It is actually just as, you know, mixed up dirty.
	Grewed up, unbalanced, as it is here, as above.
	Right, but what is the Federation about, and what is...
	Yeah, and how many negative alien races are part of the fucking Federation?
	So don't start on that.
	I don't know.
	I don't have an answer to you.
	I definitely know there are some.
	No, there are.
	I agree, reptilian and the others.
	But I'm just saying...
	So don't start...
	I mean, you can start at faulting humans.
	Yes, there are humans with faults, but there are alien races with faults.
	Okay?
	We have to deal with what we've got.
	The technology, the abilities, and the gates to go through...
	But do you want them going that way?
	The ability to go through those gates.
	I mean, that's why you have military and...
	Project Stargate is going to have a military surrounding the gate, so to speak, if they have a portal going into those dimensions, but there are plenty of diabolical scientists, too, don't forget.
	Right, yes, I agree.
	Oh, yeah, I mean, David Dare with, you know, what's his name, the guy from the OSS, the one guy that...
	What's his name?
	Rudolph.
	That, you know, punched him.
	I agree.
	But I'm just saying, the reason I think it's been at arm's length and it's been secret is because...
	Because of bad humans?
	I don't think so.
	Well, no.
	When we go through it and go to the stars, and I've always made the joke, you don't want...
	You don't want...
	Humans showing up in a purple UFO gangbanging some planet with nukes.
	You don't want that happening.
	So my point is that...
	Sure, there are safeguards already in place, I'm sure.
	Yes, and that is...
	So when we bring up the rest...
	You can't blame the bad humans for the limitations that...
	Humanity, basically for the prison planet that has been imposed upon humanity.
	See, you can't...
	Judge, like, take it down to a classroom.
	If you have a classroom, you have some bad kids, and you have a lot of smart, good kids.
	And you cannot drive what happens with knowledge on the bad kids, the lowest common denominator.
	That would be the worst thing possible.
	You will not have growth.
	You will not have experience.
	You will not have, you know, all the possibilities that are open to humanity if you start judging everything by the lowest denominator.
	So, you know, actually, I think you should do the opposite.
	We've made mistakes, Carrie.
	We can't talk anymore.
	We'll have to do this later.
	We made mistakes there.
	That's all I'll say.
	You got your point of view and it's all good.
	We made mistakes with children that could have been brilliant and we cut them off.
	And that's not right.
	No child left behind never happened.
	Yes, yes.
	But look at the human trafficking.
	Because humans are deaf, young, and blind, our people, our kind, are being taken off in slave ships, being sold to other planetary races, being devoured, being sexually mutilated, being turned into...
	You know, caged animals.
	I mean, look at the Herrera information.
	They're taking humans off planet.
	And God knows what they're doing with them.
	Well, so I ask you another question that is recent discussion with somebody else who's very spiritual and has metaphysical interaction.
	The question is, is what if we find out, okay, that not only are the things that we discussed today true about humanity, but We are like cows to the people that created us.
	We already know that.
	Okay.
	Well, that is going to be a hard pill to swallow when we're somebody else's steak dinner.
	Yeah, that's the point.
	That's the point.
	Okay.
	Of removing the bounds and the ties that bind to humanity.
	Okay.
	Thank you, Scott.
	But they made a mistake.
	They made a mistake.
	When they created us in their image.
	So we actually have powers that we were given that they made a mistake.
	It wasn't a mistake.
	I'm sure that if you believe in some God or higher creator being, that wasn't a mistake.
	Obviously, there was a purpose in mind behind that, okay?
	To give us access.
	The source being, yes, but not maybe the creator God.
	Let's not even go there right now.
	Okay, thank you.
	Have a good night.
	Thanks, everyone.
	Okay, it was wonderful speaking with you again.
	Listen, stay safe.
	I know the whole thing is going off with the fires and everything, and it's controversial and stressful.
	And I'm sorry it's happening to you.
	I love the area.
	It's okay right now.
	Thank you.
	Thank you.
	You know, it's winding down.
	So, yes, there's a new fire in San Diego, but actually the Southern California in the L.A. area, those fires are getting contained.
	That's the status at the moment.
	How do you pronounce it?
	Castaic.
	I'm not sure the status on that one.
	Okay, that's up near Santa Barbara.
	All right, well, we'll have to look into it, okay?
	I don't have time right now.
	Okay, no problem.
	Take care.
	Have a wonderful evening.
	Have a wonderful weekend.
	Okay, thanks everyone for watching.

▲