BREAKING: New Scans Show Massive Structures Under the Pyramids

Do any of these structures that they're interpreting fly in the face of what conventional archaeology would think exist inside the pyramid? All of it. All of it. All of it. There is also a liquidity inside it is.

“Possilize lightning through these iron veins. What is creating the lack of signature here?”

There is something. I can't do this, go through it. Interesting. Each pyramid is producing a specific chemical and the sequence of these chemicals transforms one product into the next product into the next product. Industrial scale chemical manufacturing. If we have tubular structures, pillars with coils wrapping around them that go a kilometer deep with a foundation underneath them, that's insane.

Correct. It's something that needs to be addressed. Because there's no physical way that these could possibly have been built. Period. Then I'm going with aliens.

“For over 4,000 years, the pyramids of Egypt have stood as some of the most extraordinary structures ever built by human hands.”

The great pyramid of Kufu on the Giza Plateau contains roughly 2.3 million stone blocks,

some weighing as much as 70 tons, arranged with a precision that still astonishes engineers today. The first and most obvious question everyone asks is how these insanely large sophisticated and astronomically aligned structures were built in ancient times before modern civil engineering. Archaeologists and historians have proposed several main theories. French architect John Pierre-Houdin suggests that an internal ramp spiraling within the pyramid structure itself carried the blocks.

This is an idea that gained renewed interest after the scanned pyramids project detected unexplained voids inside the great pyramid. Other proposals involve lever systems, counterweights, and complex lifting techniques hinted at by ancient historians like Herodides.

And then of course you have the Atlantian Acoustic Levitation Crowd, always a good time and I can't hate on them.

But the point is all of these theories have serious issues with them and are incredibly speculative. And there's another even more simple question we take for granted, and one that's probably even more interesting when it comes to the pyramids. Why were they built in the first place? The most widely accepted explanation is the Royal Tomb Theory.

Most Egyptologists believe the Great Pyramid was built for the Farro Kufu around 2500 BC, as part of a massive, funerary complex designed to help the king ascend to the afterlife. And the pyramid of Kofra was of course built for the Tomb of Farro Kufu's son, but no confirmed mummies or tombs of Kufu or Kofra have ever been found inside of the pyramids. And the interior chambers themselves are surprisingly bare.

And so in the last few decades, some very alternative ideas have emerged for what the pyramid's true purpose may have been. One of the most famous of these comes from former aerospace engineer, and Joe Roganges, Christopher Dunn, done proposed that the Great Pyramid might have functioned as an ancient energy machine. In his view, the pyramids internal chambers, granite structures, and resonant geometry may have all worked together to generate power, possibly through vibrations interacting with quartz crystals inside the stone.

Researcher Jeffrey Drum, who runs the amazing land of chem YouTube channel, believes the pyramids weren't producing electricity at all.

They were harnessing atmospheric electricity and producing hydrogen gas and ammonium-based compounds,

“essential for metalworking and agriculture, something ancient civilizations needed.”

And my hypothesis for the function of the Great Pyramid is that the hydrogen sulfide gas, coming from this subterranean carced cave and tunnel system, is the initial reactive in the chemical manufacturing sequence within the Great Pyramid. According to Drum, different chambers inside the pyramid could have served as reaction vessels, where chemicals like zinc and acid interacted, generating hydrogen through controlled reactions. These fascinating open questions, how and why the pyramids got built, became infinitely weirder in 2022.

That's when a small team of researchers led by Italian radar specialists, Felipo Beyondi, and his engineering colleague, Karate Melonga,

Using a technique called synthetic aperture radar Doppler tomography, applied to satellite data,

“they claimed to have detected eight enormous cylindrical tubular structures, going beneath the guise plateau.”

Possibly including large vertical shafts and chamber-like formations, extending hundreds of meters below the pyramids themselves. We are counting at the moment four plus four cubes that are descending underneath and they are connecting the top, so the base of the pyramid to something that is located at the bottom. So tonight on American Alchemy, we are hosting a historic roundtable discussion between Jeffrey and none other than Felipo Beyondi himself, the man who conducted the scans and created the method that derived the images of these large columns below the pyramids.

The result was probably the deepest conversation that's ever been had on the structure and purpose of the pyramids, and the vast complex of subterranean structures that might lie beneath them.

“Modern disclosure might not involve modern technology, but rather ancient technology hidden in plain sight.”

Without further ado, probably the two best guests I could think of to explore the birthplace of Alchemy itself, ancient Egypt. Please welcome this week's American Alchemy's Jeffrey Drum and Felipo Beyondi. [Music]

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I'm here with Felipo Beyondi, round two with him, and I have brought in an amazing co-interviewer, Jeffrey Drum, who had become a recent big fan of.

Thanks, sir. I just can't wait enough for this conversation. I'm really excited to dive into this because Felipo, as we all know at this point, has through synthetic aperture radar Doppler tomography. He's a scientist, he's a data scientist, 30 years PhD, who, with his own method to be on the method, has basically figured out through these tomography scans. He's derived what he says looks like these eight, four, plus four tubular structures, with coils wrapping around them, underneath the pyramids, not only actually underneath the pyramids, underneath some other structures as well.

So it's kind of a bombshell finding, obviously, it is also a really amazing meme that like took off on your internet.

You know, it really, it's kind of in a league of your own. And so, I appreciate that.

That's a huge vote of confidence. No, I mean, it's for you and CRISPR dot. Sure.

“I'm excited to have you here because I think you can ask Felipo questions that I cannot.”

I think I probably accept a lot of things at face value, and so I'm really excited to host this discussion. And thank you both for being here. Thank you. Thank you very much for your invitation. And as far as kicking things off, why don't we just go over the core findings just for the audiences in a context?

So what are we talking about here when it comes to these synthetic aperture rate, our topography scans? And if you could go into the method as specifically as possible, that would be very helpful. Yes, the method is relatively new and not so let's say diffuse it by the other colleagues of mine, but someone I know that is replicating the experiments, so I'm very happy about this. Essentially, I work a lot of years, maybe 30 years on radar and 20 years on radar installed on satellites. Synthetic aperture radar is an equipment that synthesizes synthetic, so synthesizes so-called integration time along the orbit in order to have as much resolution.

“So it is very important for civilian applications and other applications.”

Because there are companies that American company and also European companies that are building their own satellites, they launch the satellites in the sky, in the space, I'm sorry. And they sell data. So it is very simple to find the synthetic aperture radar data and what we do is we reproach this data in order to, and this is the core of our method in order to retrieve the superficial vibration of the Earth. This is superficial vibration, we have to consider this vibration like the waves that we can observe on the border of the swimming pool.

So those kind of waves contains all the information that it is given by the underground, the underground. So we do like that, we estimated the vibration and then we do, we make, we perform algorithms that are able to retrieve tomography. Tomography is, we look inside. It's slicing the interior. When we use acoustics, because acoustics are very important, because they propagate only only matter. And we use as a carrier delight, because in this space we don't have matter, we have, but we don't have matter. And we use the delight.

It means the radio frequency in the 10 gigahertz, in the 10 gigahertz center frequency, so light, to carry the information of the vibration.

So basically you have synthetic aperture radar, which is a tried and true method, nobody's arguing with synthetic aperture radar being effective.

You have companies like ISI, um, you know, um, um, um, umbrella, Capella space that work off this method. They use it for defensing commercial purposes.

“It's basically a higher resolution radar. And then I think the big update here is the Doppler tomography.”

And then the other update is you're getting these tomography scans, and you have software, that is proprietary to you, right? Please. Please. Because we have, uh, we have a pattern that this, uh, this is not now.

I am also submitting a second pattern on the first pattern, because I made the some improvements of the technique.

And so I am in this days, we are submitting in the United States.

And so that has the, the world, you know, up in, in flames, the archeological world where you have, you know, people like Flint dibble coming at you and saying, you know,

“You know, it's like, you know, what can I do? Yeah. Yeah. Yeah. Yeah. Yeah. And I don't believe Jeffery really struck me as somebody who, you know, was asking, I think, one step level deeper questions, then I could ask about this.”

And so I kind of want to, you know, just maybe defer defer to you here, as far as, you know, what, what you think about these claims, because on the face of them, you know, if we do have tubular structures, pillars with coils wrapping around them that go a kilometer deep with a foundation underneath them. That's insane. That's you. Correct. Yeah. And it's something that needs to be addressed.

“So to preference sort of my perspective on the new SAR scans, my work focuses on a comprehensive overview of the function of the Egyptian pyramids.”

From the step pyramid, red pyramid, bent pyramid, great pyramid, central pyramid, final pyramid, and also encompasses ancient structures like stone circles, passes chamber reactors, the OT will con Japanese pyramids, et cetera. And it's a comprehensive overview of the function of these structures with a basis on mechanisms of operation related to physics and chemistry. With the function of the Egyptian pyramids being for industrial scale, chemical manufacturing, where each pyramid is producing a specific chemical and the sequence of these chemicals transforms one product into the next product into the next product.

So from my perspective in interpreting and reverse engineering the function of the Egyptian pyramids, we have a known chamber configuration, which inherently any hypothesis on the function of the Egyptian pyramids has to specifically assess all of these specific components in the known configuration.

So if there are new components, for example, a lot of people don't know that Filippo and the SAR team actually published their first paper back in 2020, when they scanned the great pyramid.

“And this paper did not get a lot of attention at the time, and I think a lot of people haven't gone back to look at your original research, and I'll also do my best to kind of summarize in layman's terms.”

How the Beyonde protocol works in relation to the existing SAR satellite radar technology, because this is a conjunction of existing satellite technology with new software that's known as the Beyonde protocol that again is interpreting micro vibrations, which you term as phonons as indicative of internal chambers within the structure and we'll walk through this process.

And I think the impetus for this, as you can see here on the screen, anybody who's watching, the organizers of the SAR team's first international conference was in Malta back in June of 2025.

And the organizers of the conference were familiar with my work, Armando and Filippo were familiar with my work, and my wife and I, as you can see there, we had an absolutely spectacular time in Malta, it is gorgeous there, such a fun conference. We got to meet everybody, and Filippo and I had a really engaging sort of question and answer process going on during this conference winner. That was really why I was invited by the organizers of the conference to come and ask questions based on my knowledge of the existing configuration, and Filippo, you're the man when it comes to SAR technology, and you are the creator of this Beyonde protocol.

Whether you like it or not you're the only person that has the qualifications to answer these questions. Just ask me the question, and I want to say one thing, of course, because I do think it's important because a lot of people, you know, the information space and podcast world is not always the best, and I think a lot of people might Google or chat GPT synthetic aperture radar and get a quick, a quick debunk like oh, you can't penetrate the earth with synthetic aperture radar. And I do think it's important that what you are saying is that there is a kind of phonon to photon conversion, and that these micro vibrations just like you might be able to read the substructure under the water through measuring the waves, translates to the electromagnetic radio waves that you know get translated to the satellite into the satellite.

I suggest everyone to read the mother paper of information, which is the paper of shan on and.

Clawed shan and is the best. And, uh, I'll sort of tip it to back you up. There are other modalities like there's something called cold atom sensing and, you know, gravitometry, which is non invasive above the surface and you are measuring subsurface stuff you aren't measuring it with perfect accuracy.

“So that's what's very important. And the reason I'm so excited to have you here is because I think a lot of the first ordered debunks like the one I just mentioned suck and are easy their ignorance as you said.”

I think, and I don't even want to call it a debunk because it's a friendly conversation, but you have thought of other kind of interesting ways to poke at. Yeah, you know, it's just objective questions out of fascination and interest for the work and I think that's an important thing in science is when people with different opinions come together. It helps just get closer to the truth because the debaft city beats new things of course, and I will agree. There are absolutely things below the guise plateau that we do not understand that are the impetus for the construction of the pyramids on the guise plateau.

They chose the guise plateau for a very specific reason. There are very important resources below the guise plateau that are directly related to the function of the Egyptian pyramids. So we'll kind of get to that at the end, but let's dive into this so that everybody can just kind of hear.

I'm going to read briefly, just quoting the abstract of your first paper.

Just to say, I remember in the last interview that I made with Jesse when he came in Corkchano where I live.

“I said, I remember that I said one thing in the Giza business, let's say business. There is a crucial material that is common in everything, so it's water.”

Yes. Water. I think that water is very important. I agree. Yes, yes, business.

And for example, we've actually taken samples of the water in the Osiris shaft.

And I had that tested in conjunction with an archaeological project that I'm a member of called the Osirion 7 Archaeological Mission in conjunction with Jim Westerman to investigate the source of the water within the Osirion. They're doing testing of the water in the Osirion and hydrological evaluation of the Osirion to try to determine a, why and where the water in the reservoir comes from.

“And there's also intrusive water in one of the central recesses that we're also trying to determine the source of this water.”

I'm an official member of that Archaeological project. And I brought our water samples from the Osiris shaft to have tested in conjunction with the samples from them. And the Osiris shaft is brackish water. It's not fresh water and it's not sea water, it's brackish water. So brackish water is slightly salty water, not fresh water, not sea water.

In Italian, it's called the San Master. Yeah, so partially salt water. Yeah. So there's a very independent aquifer located directly below the Osiris shaft that is not connected to the Nile River. So, for example, the Nile is way, way back from the Giza plateau.

And because of the high-azwon dam, there's no more flooding of the Nile River. So the water level inside of the Osiris shaft has not fluctuated since the time of its construction. So there's an independent aquifer located directly below the Osiris shaft. And that system was designed to tap into that aquifer at a very specific level at the bottom of the chamber, which is why the chamber is still filled with water at the bottom of the Osiris shaft today.

So there's pockets of independent aquifers all over the Giza plateau. And there's also subterranean flowing water, which-- Ah, so that is also subterranean. Moving water, yeah. So there's actually pumps that have been installed near the valley temple.

So the cough for a valley temple near the Sphinx enclosure. The Egyptian government has installed pumps to try and pump this water out from below the Giza plateau. So there's pumping stations at Giza where there's been pumping out this water from below the Giza plateau,

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Please show your support and let them know we sent you. It's from a sense of archaeological preservation, of course, which is the main justification for everything done in Egypt. We're trying to preserve the monuments. So we want to remove all the water.

So they installed the pumps. We remove water because they already know that they're at structures inside. Not necessarily that they know that they're structures, but it's more for the preservation of the pyramids on top. To prevent more erosion from below.

Because there is, and I'll get to this at the end of the conversation, they know for sure that there are caves and tunnels below Giza. There are a lot of caves. A lot of caves, which are natural geological features. And then we will speak about this, of course.

Yeah, and we agree on that, right? So we agree on that. We all agree that the pyramids were likely not conventional tombs. Right. We're all at the same stage there.

And then it seems like we're on the same page that water is this important thing. Whether it's chemical power plant or, you know, energy power plant. But yeah, and we are sure also that they were not built by the Egyptian. That would be my bias. What do you think?

What do you think?

“So by built by the Egyptians, I think they were built by the civilization that lived in Egypt,”

during a period known as the Saharan Humid Period, which is from 8,500 BC to around 5,300 BC, which well predates what Sahi go on. Correct. Like the Ministry of Culture would say.

And during that time period, the Upper Eastern Sahara was being transformed from a desert into a vast area of farmland by sweeping monsoon rains. So there was tons of rain. There was tons of water. There were tons of thunderstorms, which is also directly connected to my hypothesis on the function of the pyramid structures.

Directly connected to thunderstorms and lightning, which will get to the power source of the pyramids. And why these subterranean structures might be important for capturing and recirculating that electrical current. And you have what seems to be water damage and erosion on the nose of the sphinx that people like John Anthony West talk about. Yeah, the back of the Sphinx enclosure. Okay.

Yeah, the water erosion at the back of the Sphinx enclosure. Okay. Yeah, that's that's the work of Robert Schock that looks at the vertical fissures on the back of the Sphinx enclosure, which is indicative that the structure was built during a time period where there was significantly more rainfall. Right.

“So I think it was built by the Egyptians by virtue of it being the people that were in Egypt at the time, which predates.”

So I do think it was, so I'm not in the alien camp where I think these are extra terrestrial. We're built by human beings at the end of the last ice age.

In order to reestablish and rebuild humanity after the largest cataclysm that basically destroyed most of the planet and put human beings at risk for extinction.

So they're infrastructure projects. You mentioned Robert Schock, you know, Graham Hancock would say that the Sphinx itself is actually an homage to, you know, the former procession.

Would you agree with that?

“So I think the Sphinx itself is a diagnostic monument that was built on an existing bedrock out crop within the Sphinx enclosure.”

Okay. So similar to correct. Yeah. Okay. So I don't, I don't think the Sphinx monument as a statue is contemporary to the pyramids themselves. Yeah.

Two separate time periods. Got it, you know. So it sounds like we're all in the same page that the conventional archaeological explanation for what's going on is kind of prima facia wrong. And that the goal posts are clearly moving on that. Let's say that we are sure that when I open the history book, school book of my son and I go to the pyramid and I read to 2500 BC is not true.

Yes, exactly. So let's get into it because I have some technical questions.

“So the title of their first paper, again, when I read this at first I was like, what the hell is going on here?”

Synthetic aperture radar, Doppler tomography detects undiscovered high-resolution internal structures of the great pyramid of Giza.

So this was their first public scan of the great pyramid before they scanned the coffra pyramid, the central pyramid.

And I'm going to quote briefly from the abstract here and then I'll do my best to, you know, from a layman's interpretation, provide an explanation for exactly what's happening here for people who don't understand the technical stuff. So one problem with synthetic aperture radar is that given the limited penetrating effects of the electromagnetic waves inside of it. One of the problems. Yes, yes. So who says that?

I'm sorry about you. It's okay, go ahead. Please. Oh, who says that? No, I was impossible because radar can't penetrate.

This is the main issue. Correct. Yeah, yeah. So I'm just, I'm just going to deal. Yeah, yeah, in the paper, this is in the abstract, they're proposing one of the main problems. Yeah.

And then the resolution to the problem is the implementation of your new software system.

So again, let me just, so people can understand what's going on. So one problem with SAR radar is that given the limited penetrating effects of electromagnetic net waves inside of solids, the capability to image inside distributed targets is excluded. So under these circumstances, imaging activity is only given on the surface of distributed targets. Absolutely.

This paper describes an imaging approach based on the investigation of micro movements on the surface of the canoeing kufu pyramid, the great pyramid, usually generated by background seismic waves. So essentially what the technology and the beyondy protocol is, again, Flippo, please correct me if I'm wrong, and then agree if I have this interpretation correct. So we have existing synthetic aperture radar satellite technology. And what you've done is developed a new software that works in conjunction with these existing satellites to detect micro movements on the surface of the structure, which you have termed as phonons and those phonons and the differences between the structure and the cavities are indications of chambers and hidden structures inside of the pyramid.

So everything is encoded on these micro movements. Yes, correct. If you have a chamber, the micro movements are like that. If you don't have the chamber, the micro movements are different. Correct.

But I think on this one phase. Right.

So again, this is the whole revolutionary and novel approach of the beyondy protocol.

“Is it utilizing these surface micro vibrations to tell us what's going on on the inside of the structure?”

So again, to clarify, there's been some discussion in the community that, you know, SAR technology is old and it's vetted. It is 100% SAR technology has been around for a long time. But what Flippo has done is developed a new approach to use these existing satellites. It's $16. Correct.

Yeah. To do something a little different, right? So we're now going to be using these micro vibrations, which again, they've called phonons. Is the term utilized. So again, if you're reading the paper, if you're hearing a technical discussion, when you talk about phonons, you're talking about these micro vibrations that are being detected by the radar.

Yes. Okay. I please ask you to go a bit up and to the previous slide, please.

On the opposite side. So I have some, oh, this one here. Yeah.

“And there is a written, very clear that Knumkufu becomes transparent like a crystal when observed in the micro movement of the mind.”

Yes, written there. Yeah. Yeah.

Based on this novelty, we have completely reconstructed internal object observing and measuring structure that have never been discovered before.

The experimental result are estimated estimated by processing serious of star images. So this is the star. The star gives you any image, exist the image. And then we process those images. By, in that case, it was the 2020, second generation Italian Cosmos camera, the satellite system.

We go, we put in a little bit the satellite of Cosmos camera, second generation. So now Italy has three satellites of Cosmos camera. Yep. Very good. And I'll show all of the images from this paper.

Yes. So people can see what you've discovered inside of the great pyramid and all of those diagrams. Okay. So this is from the Malta Conference, which fast forward a couple years later, we're in Malta. And this just gives some additional information for the people watching.

So they can understand when we say phonons, they'll understand that those are the micro movements. Phonons on micro movement. Correct. When we when we deal with light, yeah, light is composed by photons. Correct.

Yeah.

Devibration of this table.

Yeah. At any frequency is a vibration of the matta. And the vibration of the matta is composed by phonons. Yep. Okay.

Yeah. So in this slide here, and this is where I have some questions about the process of the radar. Of the radar scan itself. So you have there. I'm here to explain everything.

Yeah. Yeah. Of course. So the satellite is going around the earth. Yes.

“And the the flat earth people are going to go nuts when I when I do this, right?”

No. No. It goes around like this. It goes around like this. Outside.

It comes back around. Yeah.

So the satellite is going around the earth.

Right. And you're making passes over the target object. So the satellite's going around like this. And you're imaging the great pyramid, for example. Yes.

What is the square footage or the square meters? The foot print on the ground. Yeah. What is the. Yeah.

What is the size of the area? Yes. Of the target scan for the radar. Five kilometers times five kilometers. Okay.

So is this. Is that a standard foot print or can you adjust the size? It depends on the so called the geometry. Okay. There is a low that that is a stand that belongs on radar.

Yeah. The more the resolution, the less the footprint. Right. Right. Yeah.

Because the smaller the foot print. Yes. The more accurate. It is. Yes.

Inside the small is like a light when you focus the light. Yeah. Foot print on this table. Yes. So if you focus the light, you have more information inside the day.

Right. Right. So you also use the phrase tomographic line. Don't worry. Which is a slice.

Of the internal. Yes. And you extract the vertical cortex. Correct. Yeah.

So to create these scans, the raw data. Yeah.

“How many times does the satellite go around and over the target object?”

So it's only one scan. Fifteen seconds. All integration. Okay. It is it is in the signal processing language.

It is sufficient statistic. Okay. I have a tomographic analysis. You can use also serious of interferometric data. Yep.

I have to explain what is an interferomatic data. It is. You are observing this. This this target here. The satellite passes.

You you you you catch a snapshot of this target. Yes. When the satellite goes. Another time on this target. You will never see it.

In the same geometry. It means same incident. Same incident. Because the earth is moving. While the satellite is sure.

Yes. He's turning around the earth. Right. So you have to wait the so called orbital procession.

I don't remember the name.

But orbital. Then after I will. I will remember. Yeah. And that in cosmos kind of is.

Sixteen days. You you have to wait. Sixteen days. In order to observe the same target. Right.

And Jordan. Yeah. That was going to be my next question. And there you can collect. Fifteen seconds.

Fifteen seconds. Fifteen seconds.

“Three months of observation persistently on the target.”

Yes. And you collect and you can collect. And times. Fifteen seconds of observation. Right.

One image is a sufficient statistic. You know, the true retractable. Okay.

So that was actually my second question.

Yeah. Was. Are these composites. Yeah. Of multiple passes.

And then all of them are put together. For what image? Why you are speaking about multiple passages. We said that. One image.

Fifteen seconds of integration. Yep. In order to perform the synthesis. Yeah. Yes.

It's a sufficient statistic. Right. So we. One. Fifteen seconds.

You have any image. Okay. And that. Yeah. So just to clarify again.

“I'm just I'm just curious about how the process works.”

So the data. Yeah.

Shown in the first paper.

Yeah. And in the scans of the kufu pyramid. Yes. And the pillars below. Yes.

That's collected from a single scan. Fifteen seconds. With a single, synthetic aperture rather image. Okay. Fifteen seconds of integration.

Yeah. So we'll talk about the scans of the Osiris shaft as well. Also that. And that's why you remember. I went to the Giza Plateau to investigate the area around the Osiris shaft.

Yes. And this is when I was asking you about the footprint. Yeah. The area of the scan. Yeah.

So when you scanned the Osiris shaft. That was the footprint of the area in terms of meters by meters length by width. Was that also five kilometers. Or did you make the scan area smaller? We use it only one available product of synthetic aperture data.

Given by cosmos climate, which is called spotlight to two. The civilian application of cosmos climate. Okay. And show this. Okay.

“And the solution is sub-emetric nearly one meter plus one meter.”

Right. But one meter times one meter. Okay. And I'll show the scan data from the Osiris shaft. And the reason I'm asking about the footprint.

Yeah. Is because it's a two dimensional image. Yes. Right. Domographic line times depth.

Correct. So you're taking a five by five kilometer scan. Yeah. And compressing it. No.

No. No. You choose your pixel that you want to invert. Okay. You can choose any pixel.

Right. Maybe you choose. This is the image. This is the image. Okay.

You choose this pixel and this other pixel. You draw a line. And you extract the vertical coordinate. Okay. You can go anywhere on the image.

Okay. Interesting. And the reason I'll get to it when we look at the scan data. Yes. Because on the left side of the Osiris shaft, it's picking up something else there.

All right. Yes. Yeah. And that's why I was interested. Yes.

We're on the same. Yeah. Of course. Yeah. Thank you for this question.

Of course. Okay. The Osiris shaft is used often as evidence by your team for at least some validation. It's not blind validation. Because we know that.

Because you know the structure and you use the same method to derive that structure. Indeed. I like to show the, the grand sassau. The grand sassau laboratory because it's very nice in my person. Well, there.

Yeah. I have that too. So we can show everybody the proof of concept. Yes. So again, you see also the, the, the, the, the, the, the end of the structure.

Yeah. Yeah. Yeah. And I thought, I thought those proof of concepts. So again, it's, it's proof of concept to establish the precedent and the viability of the technology.

Yes. To scan existing structures where we have a known configuration. And this technology was very good at accurately detecting the known structures. The known structures within these modern facilities that we're scanned. But also the assignment shaft, too.

We'll talk about that. I have a question. I just have some questions.

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And Pat, I anticipate you that any measurement, taking a measurement, is affected by yours.

Right, right. Of course. So you have something and aberration. Because you are watching in a crystal that it's made of stones. Yes.

You can have aberration on there. On the results. So background noise. No. And also aberration.

Yeah. Aberration is you by the not cost and density of the matter. Sure. While you are dealing with vibrations. Vibration penetrates inside the matter.

Vibration starts with the speed that it depends on the density of the matter. In where they are traveling. Correct. If the matter is not has different densities. So you have aberration on the results.

Sure. Yeah. So to reinterpret what he just said is the penetration and the signature of vibrational analysis depends on the density of the material. Yes.

Because the more dense the material, the less vibrational signal. And the velocity changes. Correct. You have interference. Sure.

Yeah. And real quick, just for the audience. Because I want them to kind of visualize and have context for this. I don't want you answer. What is the OSIREShaft? So the OSIREShaft is a three level structure located on the eastern causeway leading

from the central pyramid down to the valley temple and the sphinx. And it's 33 meter underground triple chamber system. Not triple chamber. Three different levels. You have a shaft that goes down to the primary level.

You have another shaft that goes down to the secondary level. Where there's six housings that have some containers of different material. One's dacite, one's black basalt. And then you go down to the third level where there is four pillars. This is the area that's tapped into that subterranean aquifer.

It's literally calibrated to just tap the surface of the water in that underground aquifer. And there's another chamber container down in the third level. And what is the Grand Saso laboratory? Yes, the Grand Saso laboratory is located in 1.4 kilometers. Below the earth starting from the aperture of the Grand Saso, the top of the mountain.

And it is very huge, very, very big.

And it is always in a life.

It means that there are ventilators. There are facilities, electrical components inside. So it is in a life. What is this like? It's a physics lab.

So it's like an international lab in the US.

“I think what is the principal call of the Grand Saso.”

It is called the Gerdexperiment. Because they didn't find it, they still find it. They so called Mayorana Particle. The Mayorana Particle is very important because it demonstrates that.

And so in the Grand Saso, the Grand Saso was made,

“purposely to demonstrate the Mayorana, but the existence of the Mayorana Particle.”

The existence of anti-particles. That is anti-particle of him. So particle and anti-particle are the same thing. And so that's open. It's like as now.

The part of the material now you have electrons and positrons. But what exactly are you saying? But we are dealing with sub neutrinos. Well, like quarks and neutrinos. You're literally neutrinos.

Subparticles. And neutrinos for people that don't know, are very hard to detect. They're very elusive. And they seem to penetrate through all. Yes, they based the Grand Saso Labura,

the two have a stable environment. Very silent environment. Because there is all the mounting that makes as a filter. It's an insulator for the detecting equipment. They built it inside of a mountain.

Yes. There is a specific detector that has been built to recognize this Mayorana Particle. Very cool. Yeah.

And I'll show that in just a second.

So people can see the scan of the lab. So again, I'm just going to introduce.

“We talked a little bit about the abstract.”

The development of the technology and how it was implemented in this first scan. So what we're looking at here is one of the first. Yes. This was the first one. Yeah, the raw data image.

It's noisy. It's noisy. Yeah. Yeah. Yeah.

So Felipo, you kind of already know my questions. Look at it. Yeah, because now you're five years six years removed from the first paper. And from what I understand, the satellites that you're using now are superior to the ones that you were using during this initial scan.

And now you're using-- Yeah, what do you think is a superior also? Yeah. And now you're using multiple satellites. Where this one was only collected with a single satellite.

Is that correct? Yes. Okay. So where are we looking at here? Yeah.

So basically here on the left. So let's start with on the right. Yeah. On the right is the raw scan data image. Okay.

On the left is an overlay of the configuration of the great pyramid. Yeah. Overlaid on top of the tomographic results. Yes. I have to make a remark.

Yes. Speak about role data. Yes.

These are dealing always with focus at the data.

Yes. Because also in the vibrational domain you have raw data and focus data. Yes. Okay. So raw data is the data that you have before the so-called fast Fourier transform.

I did. If you have a camera, a camera like that, that camera. And you make a picture with that camera, you see the image. Correct. Okay.

If you disassemble the camera and you separate the optics by the body of the camera, you can make a photo also using only the body of the camera. The result is that you see a picture. But you don't see the picture. Focus it because the focusing procedure is like developing the image.

Yes.

“So a comparison to photography is like old cameras where you have to develop the photo.”

The photo is there. Yes. But it requires a process to focus the image. In this case, the process is made not really by the lens. Because the lens performs Fourier transform.

Okay. What do you want to see? So is this image on the right? Is this not focused? It is focused.

Yes. Okay. So it's the process. Yes. The focus on photography and when you use the beyond the method with your software,

are you taking a using an inversion of the focused data. You're not the right idea. Yeah. That's interesting. So this is the final product of what you actually want to look for.

No, no, no. Final noisy problem. But you use the unfocused raw data. No. We don't have to.

We don't have to confuse the ser image. Yeah. The optical image with what we are retrieving on the vertical sustain. Also when we retrieve something when we extract the tomographic line, also that you have rodata and you have to focus it also.

But you have to focus everything.

Any instrumental measurement equipment that makes photo. You have to focus this photo.

“And you have to focus it before you use your beyond the method.”

Or is it after? So the beyond the method itself is what. Receives these micro vibrations. Got it. So then that that raw data that receives those micro vibrations is processed.

To create this focused image. So there's nothing. So particularly unique or proprietary about turning the focus. Sorry data into an image. Is that correct?

Yes. Yes. His proprietary process is just the retrieval of the micro movements that allow this imaging to be possible. Okay.

Just to turn market the fact that the beyond the protocol is composed by two steps.

The first step is called synthesis.

And the second step is called analysis. In the synthesis, we retrieve the vibrations. On the pixel, composing. The deptomographic line that we want to invert. The second project is called analysis.

The inversion. Which is an fast Fourier drawing. The lines of the camera. Because you see nothing. So again, this is a good preparation for everything that you're going to face coming up.

Because now the work is going to get even more popular. And you're going to have more people asking questions like this that are trying to better understand. So moving forward, so people can understand what they're looking at with the next set of focused images. Here on the right, we have the scale. Yes.

So this is the concentration or intensity of the vibrations. Correct. Yeah. So you see everything in blue is the normal body of the structure or the background air, et cetera. So as it goes up the scale, we have more intense vibrations that are being registered by this satellite radar.

So it's just so everybody can understand the coloring. Correct. Yeah, it just shows the intensity of the vibrations that are detected. So looking back on it, are you, are you still confident and proud of this data? Absolutely.

Or would you rather go back and try to clean it up more? Yes. But these results give you a lot of information. Right. But we didn't use only one result.

We have the plethora of results in order to retrieve the 3D that you will show. Yes, I have everything. Yes. I have to say something about the technique that we have to when you extract vertical cutting. It is normal.

So you're saying vertical curtain. Correct. Right. So like the sheet or the layer or the slice, the vertical curtain. Yeah.

Okay. So just in case people didn't understand vertical curtain means the slice that's being extracted from this. This is important. That the decorative curtain is not perfect. Maybe if a very bright target is located here, you can see it.

“You have to move a lot to the vertical curtain.”

Right. Don't see it again. Yes. It's like a cone of sensitivity. Because every antenna has a cone of sensitivity.

Yes. So if you are perfectly in the line of sight, Okay. You will see things that are mainly located on the line of sight. Yes.

But if you have bright targets that are located also having a certain angle of it. Of deviation, then you can see it. Yeah. And what we'll talk about that is what I've been there. What you will anticipate me in the question of questions of the Osiris shaft is true.

You can see also things that are located here. Yes. Right. Exactly. Yeah.

And we'll talk about this cone of sensitivity. Yes. When it comes to the move on scanning. Hey, also there you have things. Because also there they have to they have raw data.

Yeah. So I'm that I included some so we can get your opinion and feedback. Yes. Because so for people that don't know move on scanning. Is using cosmic ray absorption.

To do a similar process to protect interior structures. They use that metal like the camera like my camera.

You have to always focus data.

“You have to always perform fast Fourier tasks.”

Yeah. So I have some information here about that. And I would love to hear your opinion on that because. They use a device for me to do. Yeah.

And so again, my objective here is just to get to the bottom of it.

“Because there's there's conflicting data between what the move on scanning team has reported.”

And what your team has reported. Yes. So I wanted to get your interpretation for why that's the case.

And then we can we can all show the data here in just a second.

Okay. So we have three red squares. Yes. That we have a focus that three for that for who is reading. No.

Yes. To give. That's. Eh. Eh.

But how to interpret it. Correct. Yeah. So so on the far right. You can see the edge of the pyramid there with all of that yellow and red.

Right. That is the surface external casing of the great pyramid with all of that red. And yellow.

“Very intense vibrations because it's closer to the surface.”

When you see it, it's very it's very it's very it's very nice. It's not okay. Yeah. And then moving on the inside we have one two and three. One being the area around the Kings chamber.

Yes. Two being the Queens chamber. Yeah. And three is the subterranean chamber. And here I will say that the detection of the Queen's chamber at two.

Yeah. And you can see here the overlay of the Queen's chamber in the center with the raw scan data.

The Queen's chamber always has a very good signature, a very strong vibrational signature.

Yes. Right. The Queen's the chamber is a benchmark because we can see it. And it would also help you determining the most effective curtain or slice. Yeah.

So if you have a strong signature on the Queen's chamber, you know that your tomographic line is lined up accurately for the objects of interest in the particular scan. In terms of the configuration, I'll show some diagrams and everything in the great pyramid is aligned right on top of each other. So again, this is just showing the first overlay. But I guess we'll go back there. Yeah.

So super steeped question. Yeah. So I come looking at their raw tomographic result. Yeah. And I'm looking at one, two, three.

And maybe I see something a little around one. But two and three look mostly like in the sort of blue range. Like how do you convert one to the other? So let me explain. So is this a failure?

So the detector is this a positive detection of the Queen's chamber. Let me clarify. So all of these images are screen shots directly from the paper. And here on the left is a standard diagram of the Great Pyramid.

This is not one of their models, which I'll show their models here in just a second.

Okay. Where they actually interpreted the focused scan data into new 3D models. Okay. So this is a known standard diagram on the left. Okay.

Overlaid with the focus data. Yeah. Overlaid with that statement that one and three, you can see the highlight. Yeah. Aren't super encouraging.

Yeah. In terms of the detection in this particular slice. Okay. So for example, at one, I don't see a clear signature there for the King's chamber. Sure.

And down at three, if you look at the overlay of the diagram on top of it. Yeah. It's not picking up the subterranean chamber either. Yeah. On the far left, you can't see a glow, which is indicative of these vibrations.

From the subterranean chamber. Philippa, do you agree with that?

“Or like, do you agree that it's sort of missing the subterranean chamber and the King's chamber?”

Yes. So you agree? Okay. Okay. Yeah.

And so again, this just kind of establishes a way for us to discuss this. It is not mathematical. It can see in that demographic line. Using that radar image that we can detect things. It's not mathematical sure.

We are not sure. We can, we have to do different measurements. You know, the two have the results. But I guess my, again, super dumb question. And I think I'm probably jumping ahead with it is if we fail to detect certain chambers in the pyramid.

Yeah. Why are we high confidence and structures going a kilometer deep underneath the pyramid? Yes. Because in the cafe research that we made a few years later than this, we changed the day approach. So we used very different geometries on the satellite data.

So with very low incidence angle. That means that the, the layover of the, of the rather images were very high. But that kind of acquisition when we use low incidence angle, the power of the, of the photons are very high is very high. Because you see things like that.

That kind of increasing of power allow us to see deeper.

Okay. And in that kind of configuration,

“we were able to data to measure the structure that we're underneath.”

Did you ever redo the great pyramid and accurately detect these chambers with the low angle of the incidence? Yes. The, the, the, the, a lot of this it was a medium angle of incidence. So when you say the angle of incident, let me, let me try to interpret that for the layperson.

So when the satellite starts scanning. Yeah. Right. This 15 seconds of scanning time. The process starts lower as opposed to scanning up here.

So you're scanning from lower on the horizon. We have, as opposed to trying to scan from the top. I give you the answer about this. So we have to do a bit less on an hour of how data are quiet.

Let's say that this is the target.

That I want to, this is five kilometers times five kilometers. Which is a huge area in the scan. Yes. It's very generous. Right.

I want to picture here. There we go. Okay. Yeah. This is the satellite.

Yeah.

“The satellite flies on the, on an orbit.”

Correct. Yeah. Yeah. The coordinate orbit. So if I want an image here.

In the rather field, we say, I don't want it squinted.

So it means that the sense, we trace here a vertical line. We start the sensing here. Minus seven seconds. Plus seven seconds. 15 seconds.

Right. 7.5. So like that. So here we begin acting our sensing. And here we release the sensing.

We have the image. But SAR is a side-looking sensor. So we have to tilt. This is the zero-lopler. Tuck.

We have to tilt on the incidence angle. Right. Because it's a side-looking. And we can, we can scan.

“Let's say, never nodural because it doesn't work.”

So from here, like that, to here. From here, to here. Like that. So we choose that a very low incidence angle, which is the angle belonging the nadir of our image.

And the line of sight, this angle. Yeah. This is the incidence angle. Low incidence angle. High-level layer.

High incidence angle. Low layer. Right. And that now I tell you what is the layer. Right.

To like that. For the cafe research project, we use it. Low incidence angle. Why? Because the photons that are transmitted here on the earth

has high power. Because the probability that the photons that arrive this year are transmitted into the deepest space is low. So you have the scattering energy is higher than this. That is lower.

Because we wanted to go inside. Because we wanted to see targets very bright. Because here the Doppler effect is more. We are more sensitive in the Doppler effect with low incidence angle. With respect to the higher incidence angle.

Yeah. And all the validation you have done has been at lower incidence angle. Yeah. Okay. And so.

Yes. And lower incidence angle, this is better. In this case. Yeah. We wanted to see.

We were focused on the pyramid at the beginning in 2020. And if we were using low incidence angle data, the pyramid are leoblet. It means that imagine the pyramid. You see the pyramid.

The pyramid is a smash on the leoblet. It means that you see the pyramid like that. Mm-hmm. The pyramid is a smash like that. And so it is difficult to see the tails inside the pyramid.

But we were interested in the, in the, in the recent research that we did on all the geysapplataux,

Mm-hmm.

Well, the pyramid I want to see what the this below the pyramid.

I don't know. I don't know if I have understanding this. If you, if I am explaining better this. So we use that. And then you triangulated the truth from the different incidence effects.

And, and are you highly confident that if you used the same methodology on the Great Pyramid, again, with the different incidence angles and triangulation. And you did, but what, but it was not to, to retrieve things that we did on 2020. But it was. What was it to see? What it was.

Deep below the cone. But did you ever, I don't know if I did. Yeah, man. You know, super clear.

“Did you ever try to redo just the pyramid itself to make sure that the accuracy on the chambers was correct?”

No, but you can do it.

Okay, so, so also you haven't seen any of this yet.

The first paper data. There's, there's way more. Oh, yeah, yeah. Yeah, and they, they did. Not a lot of results.

Oh, yeah, of course. And I'm going to show all that. So everyone can see. I think it's important for everyone to see it because they did different scans that show it sometimes. So we'll get to that now.

We can go ahead and go ahead. So for example, this next one is this image from this same scan. It's just a focused image. Okay. So, so this one, I think we would.

Yeah, down below. Right. So I think we all agree that the imaging of the King's chamber here is not great. But we do have a very promising image of the Queen's chamber. Yeah.

I would say that this is actually, and you can even see. So look at C down there on the bottom right. You can actually see the horizontal shaft coming out of the Queen's chamber is detected. I would say fairly accurately.

“So I think this is, again, I kind of like to look at the positives and the negatives, right?”

Objectively analyzing the data. Yes, Jeff. Yeah, I tell you this. The important of the future of this technique is the velocity of the, uh, to obtain the result. The result.

So the speed of the radar. No. The speed of the synthesis. Okay. Okay.

I have the sorry image. You have to perform. You have a tomographic line. You have to perform synthesis. To perform synthesis, you need days, days and days.

Because it is time consuming the processing. You've been in Corsian, I show you. I show you the computer. Big computers about, you need time. Yes.

“And the best thing to do now is to increase the speed.”

So decrease the time that I have to wait in order to obtain a tomography. Okay. And so to make it also, let's say, similar real time. What does it mean? That this, the team that I am, that I'm, that I'm, that I'm, this, this is the procedure that I'm thinking that.

We will do it in the future. I think that the future of this technique is this. You have any image. You have a, a tomographic line. But this tomographic line, you can move it.

In real time, and on a monitor, you will see the sea. Yeah. Like a CT scan. Yes.

Like where you move through the second, you will see all the different layer of the things.

Because I remember, when, when we, we did not also on the coverage of the spot. You have a, you, you, you launch a process. You have to wait 15 days. And I forgot what, what we are watching. It is a bit, no, I bit, not, not so, not so useful for it is for research.

Okay. You want to be able to, the paper, we need the paper. But if we want to do several scans, we have to, we have to, we have to wait a lot to have the results. So, in my personal opinion, now, the thing that we are doing is this. We have to recognize this often.

We have to use a rise of GPU, a rise of GPU. Yeah. Maybe we can also multiply the processing power also for, I don't know, I can say, 10,000 times. It means that 15 days will become 30 seconds. It is good passing from 15 days into 30 seconds.

But to do this, I need investments.

But in my personal opinion, the future of this, because here, the problem that, and thank you for giving me rising this problem.

Yeah. Yeah. That we are having now is related to the processing time. Because this is only one tomographic line. If you move, in real time, on a plethora of adhescent tomographic lines, you can see everything.

Everything. Everything. And you do it three hours a time. Like when you go to the doctor, you make a scan of your, of your, I don't know whether it's CT scan or MRI, but where they can literally move through the different, I think it's CT scan.

Yeah. Where you can literally move through the sections in real time. But it's also, like you said, it requires super high processing power. Yes. And this is just the initial.

Of course. Yeah. This is 1.0. Yeah.

That's what I was going to say.

But it's not for me on my, on my, on my, I don't know. I think the, the burning question people have now is what gives, if, if this is just one tomographic scan,

“you have to wait 16 days, is that the same method outside of the angle of incidence that you used for,”

detecting the substructures below. The same method. Yes. The same method, absolutely. Yes.

And has been improved in terms of details. How can I know that? Mainly angle of incidence or anything else. We have used that different incidence incidence angle, scanning the, the bit of that. But it's the same.

Okay. And all the, the validation that you've done at Grand Sasso. Yes. We're Cyrus.

Was that with the multiple angles of incidence and the triangulated, it was.

Yes. Because they got Sasso. Yeah. It is very high. It is nearly 3,000 minutes.

To, to 1,000, 990 meters, 93. I think.

“And there, the layover effect is massive.”

Nice. And on the sorry image. So, I had to, to, to, to, to, let's say order, different images in order to choose the best one. In my, for me, the best one may be other image could be also better.

Uh, in order to retry the, the, the laboratory to detract the, the, the laboratory. So, here's another different scan of, of the King's chamber. Yeah. Yeah. So, so when they say Z chamber, they refer to what's conventionally called the King's chamber.

And this scan image looks qualitatively different than what we see here. It's not this in tomography. Correct. Yeah. A different tomographic line.

So, you've gone in and taken a different vertical slice. As I told you. Yes. If you have a speed, you can do it real time. Right.

“So, you will, in real time, choose the best one to show to the, to, to, to, to, to the, to the, to the,”

Right. Yes. Yes. Yes. And so, in my interpretation here, so you see the horizontal signatures.

These are the, these are the granite beams that are part of a structure known as the relieving chamber, which is a structure located above. You can see the diagram on the left. Again, this is a known archaeological diagram of the King's chamber. Not a 3D model of their interpretation of the new stuff.

So, these overlays are just taking known diagrams. Overlapping it with the tomographic data. So, we can see where these things correspond. And if you look there on the right, you can actually kind of see, the slope angle of the triangle at the top.

You see, kind of, it picks that up to a little bit on the right. You see that slope. Yeah. Yeah. That aligns with the top of the chamber.

And the horizontal signatures of these granite lentil beams. Mm-hmm. So, we do have, again, the red is indicating a very strong, vibrational signature from inside of the structure. And I will say that this one is pretty good.

Mm-hmm. I was, when I saw this original, I was like, oh, this is, this is promising for detection of the King's chamber. Mm-hmm. But you also have to keep in mind, the King's chamber is made of granite.

Mm-hmm. So, there is a qualitative difference in the material of construction that's specifically related to the quality of the detection. So, for example, the surrounding mass is all limestone. But the King's chamber is made of granite, which is maybe one of the reasons

why we're getting such a good signature on this particular tomographic line.

Absolutely yes.

“I think that we are detecting also the so-called,”

Sarkovagus, which is not Sarkovagus. Mm-hmm. Uh, that is inside of the King's chamber. Oh, yeah. Okay.

Cool. So, the only questions I had on this one, so the big red signature at the bottom is just background interference. But you have a, the floor, the floor, not of, did he's a floor? Okay.

And I'll get back to that in just a second.

Regarding the bedrock. Yeah. So, the conventional explanation of the bedrock foundation below the great pyramid is that it stops somewhere near the grotto at the base of the pyramid.

Mm-hmm.

“But in my opinion, the bedrock mound is actually much taller than we think.”

Mm-hmm. And one of your other scans shows what may be the true level of the bedrock. And, in my opinion, the King's chamber is sitting on top of a bedrock foundation within the pyramid, which is what, yeah. Yeah.

That we are detecting something that, uh, right. So, this is a good one. This is a promising signature. Mm-hmm. You know, there are some tracers that go outside of the limits of the known chamber,

but this is pretty good. Mm-hmm. Okay. So, the next one here, this is where things got really interesting for me with the first paper.

“So, again, we're looking at the Queen's chamber.”

And what they have here at the bottom is a scan of the Queen's chamber in the center of the pyramid. And it has been anecdotally reported and documented from the original excavations of the Great Pyramid that there is a shaft and chamber system located below the Queen's chamber.

Mm-hmm. So, they excavated this, they found a pit in the Queen's chamber that was filled with rubble and dirt. They excavated down into it and they found a shaft and tunnel system and chamber system located below the Queen's chamber.

It is now completely covered up and sealed with modern blocks. They covered up the hole permanently. Mm-hmm. Again, reported anecdotally and in some of the documents regarding the original excavations and what they're showing here is actually the presence of a shaft system

coming out of the bottom of the Queen's chamber. So that's very promising. And I proposed the same thing based on these archaeological reports in my book that there is an extraction shaft and chamber system located below the Queen's chamber. So, again, when I saw this back in 2020, this was very promising

and encouraging for me because they are corroborating hidden structures that are now completely covered up which may actually exist inside of the pyramid. Mm-hmm. So, I was very excited when I saw this originally

and they did a great model which I'll show here in just a second

that shows that complete shaft and chamber system coming out of the Queen's chamber. So, I wanted to highlight this as a very possible substantiation of something that was reported in the late 1800s, early 1900s when they were doing the original excavations. But has now been completely covered up and ignored and dismissed as not possible.

Mm-hmm. But they are showing that potentially it could exist. And I just have to remark the fact that in this tomography, we are not observing the corridors, the Shandy corridors. Mm-hmm.

Yes, there are two reasons and maybe they can be both of them. The first one is that in order to detect those corridors, we have to be very sure that the tomographic line goes into intercept those corridors. Okay? And in that case, we need speed. We need the real time facility.

Yeah, okay.

The second is that probably is not possible because the corridor is too small.

Okay? But I am orientated to the first one that the tomographic line we used is not perfectly oriented on the corridor. Yeah, and I'll show a vertical diagram of the alignment of the chambers so that we can all take a look at that in relation to the discussion of the tomographic line.

that's embedded in the bedrock is not detected in this scan, which is a similar issue to what you had with the cipher project is that it's not able to detect this bedrock excavated chamber, which is an issue when you extrapolate scanning into the bedrock to detect structures a kilometer underground.

I tell you, a piece of corridor, it is possible to detect energy policies. Here, I can do it here.

So basically what he's pointing at is sort of this line here.

Yeah, right. But how could he differentiate from a scientific perspective

“between all of the background interference with light?”

Yeah, because there's a lot of background interference here. Yes, yes, when you are dealing with light, you have a laser. The laser travels the free space and goes to the target. You see the target very well, because the light travels only the space and not the matter. Here, the acoustics are travelling in the matter.

And the matter is a mess. Is the matter that is underneath that is the MS? Not to the acoustics that you are using to detect the matter. I don't know if I am explaining where this is.

The composition of the bedrock itself is interfering with the register of the signal.

Yes. Okay, that's problematic. Because especially if you're trying to scan into a kilometer of bedrock. You can do it this here. We are dealing to retrieve information of things very small.

Sure. Yes, the passage is small. Go into the subterranean chain and see them. The background is composed by other targets. Yeah, Philippo, maybe can you address the basic point Japanese making that the composition of the bedrock is important for the veracity or accuracy of the findings that you get.

And so if there's any issues with certain bedrock in these readings

where granted is better than limestone.

And you're trying to go through a kilometer, you know, deep of what is it limestone. Bedrock, limestone bedrock, then how are you able to be so confident? But in that case, we have detected, this is very nice. In that case, we have detected the things that were really predominant with respect to the bedrock. Like I would say, background detection.

We'll arrive today. Yeah, I have everything. So I included everything to make sure that people could see all of the information. But I think we have to do part one and part two. I get what he's saying, which is like, if you control for the background,

microvibrations being created by really, like these are large megastructures. And so if you're trying to find a, you know, a small chamber. And then you could have issues on bedrock, even if the whole thing is happening superficially, where if you're looking at megastructures. And this is also very different.

Yeah, the process in scanning from space. As compared to the vetted technology of move on scanning, which is done inside with detectors inside of the structure,

“you have to anticipate some flexibility in the ability to detect small components that,”

because again, you're scanning from a satellite, from space. So there, well, this is, I mean, another really interesting question is, all of your cases of validation involve structures that might be below the surface of the earth, but not this far below, do you have validation that exists? In the case of things, I mean, obviously, like, it's hard to go a kilometer plus deep,

just generally, I think, very, you know, very few mining and excavations sites have done that, but do you have any validation? Oh, I have, that's gone that deep. I did a lot of pilot tests with companies. Uh-huh.

And more than 100% successful, but really. It's another, another case. When you should be awesome. Yeah, we are dealing with, sure. When you say, when you say pilot tests with companies, so this is used in a commercial context.

We are moving in commercial, yes, absolutely. Got it. Okay. And this is like mining and mining.

“Okay, then these are, I assume you have to be somewhat cheeky about this,”

because you're under NDA or sort of thing.

I am under NDA's whole, I can't say.

But you have more than this.

“But you have, you have 100% success, like no one.”

No one, no one, no one, no one. How do you go more than 100? They fold me every five minutes. Okay. So they're really pumped to work with you. I mean, that's fascinating.

The mining and metallurgical applications of the technology are directly applicable to the specific geology, metal. There's metal or mineral deposits all over the Giza plateau. Yeah. You're familiar, we have, I don't know if we've talked about this.

I'll show it in just a minute. There's iron or metal mineral deposits all over

and below the Giza plateau.

Yeah. We have chemical analysis data from these iron veins. Hydrothermal mineral deposits embedded in the better rock that are permeated with rare earth elements, gold, silver,

“things like platinum and titanium have been discovered in these metal or veins”

embedded in the better rock of the Giza plateau. So there's a direct correlation between the applications that he's describing for this technology and the investigation of the truth of what's really below the Giza plateau. Yeah.

We may differ on our interpretation about that, but we absolutely agree that there is something down there that is absolutely important to understand. I always love you. Yeah.

I always love when I bump up against the limits of what Felipo can say

because I do feel confidence coming from him that there's like a lot that isn't quite open source. You know, both commercially and defense wise that he just can't really talk about. Sure. Yeah.

We've talked a lot about that. Yeah. I know it's okay. But again, unless you're like a great con man, which I don't think you are. Yeah.

And my whole question is in regard to this. Is the Queen sound? Look. Yes. But what about what about the grand gallery and the, but that's, that's good.

But we're completely missing the grand gallery and the King's chamber. I tell you why. So you have one out of three. Well, let him, okay. So yeah, why do you say that you are?

We, we go back into the, the things that I took, that I, that, that, that we were discussing five minutes ago. In this tomographic line, you don't see the grand gallery, but the grand gallery is good that I don't see it. Because I can't see the error that is inside the grand gallery is good. The grand gallery is a tube like that. Correct.

Yes. The top of the grand gallery, then you, you have the error blue and then. And then I don't see nothing. I see the, the, the, the, the Queen's chamber. It's, it's cool to like that.

You move the tomographic line. You integrate. Sure. And you perform a 3D reconstruction. Yeah.

We need the computer, Jeffrey. Right. Right. Right. I rise of, of GPUs that demo, but I don't die.

Oh, it's a word. You're using a rise of GPUs. I'm not going to. If I have a thousand of GPUs, we can do it.

“So how much out of curiosity, how much money would that require?”

I don't know. But if there's an investor in the audience that wants to help you out, what, is there a certain amount that would help you? Maybe with the, I don't know with the, I don't know. I don't know. I don't.

I guess millions. Yes. We can, we can, we can have, we will speak about the foundation that we are standing in Malta. Set setting up in Malta. We have, we have rented a nice place where we have installed a solar power plane, power station.

And inside there, we, we would like to set up data center. And there, if we have donated, we can buy a mainframe with a ray, with an array of GPUs. Oh, we should just for humanity. Somebody should, somebody should do this, not for profit, but just to know of what you might know. Just to, like, defundations, works, yeah.

You know, this, this should be like the first on your list.

So, anyway, you're working on two. We did it with the computer. But, yeah. You saw me in my house. We can do this.

Yeah, yeah.

“So, but, but what do, what do you say, Jeffrey to?”

And day, I don't so expensive, right? Yeah. Yeah. Got it. Oh, there you go.

Okay. Yeah. Jeffrey, what do you say to, uh, Felipe's point that the grand gallery is actually detected. It's just one vertical slice, and you see that you do see the air.

Yeah. I'll get to that in just a second. Yeah. You see that the grand gallery. Yeah.

He's blue because you have air inside the grand gallery. Yeah.

So, I guess he's saying here.

Yes. The grand gallery. He's far come to inside. Right. So, the other things I wanted to point out here.

So, this signature above. Yeah. That's the big void. The big void. Yes.

And you have detected the big void. Yes. Yes. That's the big void.

“And we'll get to that in a comparison between the location of the big void.”

Mm. Suggested by the move on team. Mm. And the position that has been detected by the SA, all teams. Yeah.

It's slightly different. The. In my personal opinion, that is the big void. So, he's looking for the big one here. Yeah.

The big one. Yeah. The big void is saying that it's located directly above the grand gallery. Mm. The position of the big void.

That they're actually going to be excavating into the great pyramid in 2026 to investigate the big void. So, an actual exploration is coming up to get a chance to see what's in there. So, again, I'm just objectively looking at these things. I do agree there's a fantastic signature here. And we talked about this, too, Felipe, at the multi conference, that it's a different in the slice.

Yeah. If you move the slice, you might be able to better better detect it. So, another thing here is tag 17 and 18. That's fantastic. That's fantastic.

Which is a nice. I have it again in a slide. Okay. So, let's look at the position. So, here is the configuration of the great pyramid.

And this is the vertical alignment. Mm. Of the chambers. So, you can see, if you were to scan the tomographic line at the far left of the King's chamber. Yeah.

You would only pick up the King's chamber and not pick up any of the other stuff. Mm-hmm.

“If you scan on the far right of the King's chamber, you should pick up all of the components.”

Mm-hmm. Because everything would be aligned in the same tomographic slice. Yep. You cannot detect the King's chamber without also picking up the grand gallery. Queen's chamber.

You don't know what to say. Correct. Correct. Yeah. There's also the array of jpeels.

Sure. But this is kind of an explanation for why that may be the case. Is the different slices that break it down. Okay. You may do a slice down the middle that picks up the King's chamber and the Queen's chamber.

Here and here. But it doesn't pick up the grand gallery. Yep. So this is an explanation for why we get register of certain chambers with different tomographic lines. Because we're just slicing down the middle.

Mm-hmm.

And the slice doesn't always land on all three simultaneously.

Okay. So the next one here is the discovery of this new passage. Yeah. Right. On the northern side of the Great Pyramid.

You should know if to say these. We discovered it for the first time. So that's amazing. That's true. So let me explain what we have here.

So we attack 17 and attack 18, which is showing this little passage here. That's the core. Yep. Right here. And it starts right here under the chevrons, which is where they found this passage.

And we have an overlay of the chevrons and the new passage that was discovered. Mm-hmm. My only issue on this is that the signature actually starts out here. Mm-hmm. Yeah.

In other words. Multiple reflections of the radar. So reflections of the radar. Yeah. Multiple reflections.

The interaction of the electromagnetic waves from the floor of the pyramid. And the pyramid can give you multiple reflections. It's normal. Okay. The reactions are affects also the demographic line.

Okay. So you're saying the reflections of the radar. Yeah. Can create signatures. It can be a clear similar.

Yes. To the signature of an actual chamber. No, it can be mitigated. Only having multiple scans. And so you can average your results.

And you'll see them. Absolutely better. Okay. Okay. I'm with you.

Yeah.

The best signal you have. You have it on the shiver on the shiver on. And you are detecting the shiver. Look. Yeah.

Yeah. Yeah. Right. And that's why. Because you have the pyramid.

Then you have the shiver on like that. And you have the other the other. And then you have such multi-path of the radar.

“Are you saying that tag 18 wasn't even known by conventional?”

No. No. It was known. The shiverons are visible on the outside. Yeah.

So they recently, and what is tag 17? It's just got it. It's a dead end shaft. You can see the overlay of it here. Yeah.

So they recently, that's remarkable that he, he discovered it.

Basically through the is that before that.

They detected it. Yeah. This was detected by the team in 2020. Okay. And they recently went inside of this with a microscopic camera.

They drilled in below the shiverons to look into this dead end. It's a dead end shaft on the northern side of the great pyramid. And if you go to the result and you if you switch off the overlay, you can detect also the top of the corridor and the floor of the corridor. There are two lines.

Yeah. The top here and the bottom here. Yeah. You can measure also. Yeah.

And if you compare the measurements with the video because they scan it. Are the same. And then you see that is nine meters longer. I don't remember, but it's like nine meters long. There is something a piece of stone that goes.

But here you can see what there is over that piece of stone with it, which is. I tell you here. This one. And I am waiting somebody that is discovering that anti camera. Anti camera.

Yeah. Anti chamber. It's a chamber. I call it anti camera. It's a chamber.

Okay. The chamber goes directly to the granularity. Okay. And then allows you in my form. Also to go naturally to the big void.

That is the real. The real position on the big void is that one. Okay. Jeffrey. The future will.

We'll give. What. What. What. What.

Yeah. Now you're. What you're saying. You're saying. That's a lot.

So Matt Bell. Yeah, from the limitless podcast. Yeah. He's involved in financing of the development of robotics to investigate the shafts in the Queen's chamber. Cool. They're going to be sending a robot up the northern shaft to drill in the comparable feature known as

Gattonbrink's door, which was investigated in the southern shaft. They're going to be drilling through a new piece with a new robot on the northern side. And they're also collaborating on the investigation of the big void. So they will be. Hopefully.

It's been approved. But everything keeps getting push back and push back and push back and push back as things happen in Egypt. Supposedly on the table for 2026 that they're actually going to be drilling into and investigating the big void. That's remarkable.

“And I think, you know, it sounds like Felipe was making a prediction there.”

I also think, I do think it's amazing that Tag 17 this corridor dead and shaft.

He's sort of, you know, you know, they made a claim there and they found it. Yeah. So this was 2020. This was before the recent. I believe this was detected with the move on scans.

Yes. The move on scanning. So the move on group. Yes. The scan pyramids project is the.

Sanktion and approved scanning team that they have used for these projects. They really only collaborate with this scan pyramids team. You know, we were just talking off camera about how much we're both enjoying this conversation. And a lot of people have have misinterpreted my questioning of the data as disbelief or an attempt to debunk. But that's not really the case at all.

And they just, they don't understand that we have an existing relationship. And again, it's true that we, it's good that we discuss about the course. Because there is also, it's not like a ready journey. No, it is something. No, I love this.

I love it. First of all, the fact that you're saying it's not a sacred cow or third rail. It's just the thing you can talk about. And, you know, you can criticize and you can defend and, you know, it's all good. That's a beautiful thing that commitment to the kind of.

You know, socratic process. But I was also Jeffrey and I were talking.

“I think a lot of these discussions go into, like, it's like, it's always framed as adversarial.”

Yeah.

So it's always, you know, skeptic and debunker versus, you know, person making some bold claim.

And then the person, the skeptic doesn't even look at the assertions and make first principles of argument.

And you get into these high level heuristics of probabilistically this thing can't be true or whatever. Yeah.

And what I love about this conversation is, and then we can get out of the meta and get back into the first principle.

“But it, it, it, it, it's that you are really just asking questions that I think everybody wants to know that are at the first principles level.”

Yeah. And there are reasonable questions. I'm captivated by this process. Again, when I found this in 2022, I was like, this is super important. Whether it's true or it's not, it's the development of new technology and an approach that could eventually be implemented into something very significant, which is the purpose of all the videos that I've made about this.

Have prefaced it with saying, this is the type of technology we need. We're on the precipice of a greater understanding using unique methodology to understand the structures that's going to get us to the deeper understanding. And, Filippo, you said during the conversation that it's still in the initial stages. And there's improvements that can be made with the technology further investigations that need to happen. I mean, we need to talk about it.

Yeah. Can I ask one thing actually before we get back into this, which is, speaking of skeptics. I did watch Flint Dibbles video about, you know, and I found a lot of it to be a little ridiculous.

“There were certain points he made, which I think we're, we can discuss if you remember.”

I do remember one, one point, which I found very well, one of the points was like it's too hot to build that deep. It's too hot to build our official structure. So that felt reasonable and we can get to that.

But it's connected to the, the, the heat is connected to our research project that the third part of this research going in situ, but we will discuss at the end of this.

Okay. Okay. So a little teaser later on. No, no, no. So yeah, let's let's definitely circle back on that.

“And then the second one, which I think relates more to this discussion, we were just, you know, having around the commercial use cases of this technology.”

Is he said you let your patents expire, is that true? Yes, by initial patent, the moment is expired, absolutely yes. Maybe we can recover this in the United States, we give you a great spirit in order to recover this patent. Maybe we will do it, but I am, I have submitted this second patent, which I can't, disclosure. Okay. The thing is about I have submitted a single patent that deals, is connected to the first patent.

And gives huge, no validity, but I can speak about this. Would you fair, yeah, you definitely should. No, no, no, no, don't telegraph your IP. I think the question I would have is, if the first patent is in some way related to the second patent, and I might be a gateway. If I'm a scientist, and I figure out what's going on in the first patent, which you have telegraphed it is in the USPTO, I read it.

It helps me figure out the second patent. Why wouldn't you also try to maintain the first patent and just keep enforcing it? Yes, but I tell you just, the question of patent, or in the commercial or in the philanthropic, I want to work on the philanthropic and also in the commercial. Because I like to work with my technique is for me is very exciting. But yes, the patent will give you the rights to be the only loan to only give me the rights to commercialize exclusively this technique. But the important thing is also the technology that is behind the software.

Software is crucial in this industry. Got it. Yes, pardon pardon, but you need the software. Okay, and that's a good answer because you speak to most people in fields of aerospace or kind of hard science, and they'll always say patents are barely enforceable. It's really about trade secrets, and it's about knowing how to do something that no one else is going to figure out. It's not really about the patent.

I'm not sure if it's not so important, but we have a second patent, but the crucial point here is the technology, and the technology is made by art and software.

It's funny, I don't know why would you go out and make a YouTube video in this shrill way, start yelling at you. Instead of just be like, hey, Felipe, my name's Flint, why did you let your patents expect?

But Jeffrey, I think you should continue with your kind of first principal's question. Well, I think this is why this conversation is working, because we're friends, we've met before, and we've spent personal time together.

The important thing for me, as I've shown in this presentation, is that if we do have novel structures, it's critical that they can be interpreted into a functional hypothesis.

For example, the shaft system below the Queen's chamber.

“It's been reported in archaeological documents, and you should have a model that interprets that into the function of the structure,”

which I've shown, it's part of the extraction shaft system that was used to remove the product solution from the Great Pyramid.

So I have done that in my work, is entertain these ideas, although speculative at this point, because we haven't done actual archaeological excavations to prove any of this yet.

I've taken it and incorporated it in a hypothetical working model where these new structures actually fit with what I've proposed. For example, the big void, it's in a perfect location for a heat exchanger, right? Anytime you have exothermic reactions within a structure or an operating chemical manufacturing apparatus, you want a mechanism that can remove some of that thermal energy from the system. And the big void, although it's shown by the Mouan team in a little bit different position, located above the Grand Gallery, is the ideal position for a heat exchanger that would remove some of that thermal energy from the reaction in the Grand Gallery, which we can get into much deeper depth.

Whether which one comes out first, we don't know quite yet, but we'll get into much more depth on the function of the Great Pyramid and how this new void, it's definitely real.

Right, we've detected it with the Mouan scanning, you've found it already, and there are 100% going to go in there, and we're investigating which is the exact shape of the right where it is exactly meter emitter, the left, the meter on the right about there is a big void, it is. So that's actually a good transition, yeah, but it's very probable. So, you know, we've talked about the initial scans here on the left is the first of the 3D models, so before what we had is an overlay of the processed focus data on top of existing archaeological diagrams.

“What we have now are the new 3D models that Felipe, can you explain how these 3D models were developed, who made these and how were they created?”

The 3D model was done by the authors of the paper, so it was done by Corrado and me, right, together. So basically what they've done is take the focused data and interpret it into a new model showing all of these features that they've discovered, which we'll get into that now, so talking about the position of the big void. Okay, so again, the scan pyramids project and this mouon scanning, so mouon scanning involves cosmic ray absorption, these cosmic rays that come down from the atmosphere. There's a series of detection devices that are put inside the pyramid, you can see them here in the Queens chamber, and they also have some on the outside of the pyramid on the northern side.

Essentially these mouon detectors detect the absorption and diffraction of these mouon rays that are passing through the pyramid structure, right, so these cosmic rays actually do permeate the structure. The chambers will reflect them in different directions and the detectors monitor the difference between the body of the pyramid and the chambers of the pyramid. And so it's similar, you know, for the people, it's like you can't derive matter through like, you know, energetic means like, you know, it's sort of, you know, someone analogous technique.

So in this instance, they're just using natural energetic electromagnetic energy that's coming from the atmosphere.

“Yes, cosmic rays. Cosmic rays. Right. Not electromagnetic. Okay. So can you clarify the difference? Is the same, is the same, the preachable is this, right? Is it cosmic ray not electromagnetic?”

No, no, no, electromagnetic are photons light. Yeah. Cosmic rays are particles, they're very small that penetrates the matter. Okay, I think I associate cosmic rays with neutrons. Is that, roughly. And the neutron is very, or cosmic radiation is very big. Okay, it's very big. Newton is like a bullet that it's very big and it's, is the principle of what particles would you associate with.

Because the neutron goes to another atom that split splits, the atom of uranium splits and generates other three neutrons that goes to split other atoms.

And so the change reaction is activated after a so-called critical mass, okay, of uranium to 35 that has been enriched at least from 25% up to 90%.

Mm, it depends of the application. In the civilian application, so in civilian, so power plants, atomic power plants, not an nuclear, atomic power plants are 20, 20, 25, 28% of enrichment.

“No, for sure, maybe less 15% enrichment. I don't remember exactly the number. And then, uh, you can go so in 90% for other kind of application.”

No, uh, months are smaller, so they penetrate the, the, the, the huge mass of the, of the pyramid, but while they are traveling along a line of sight, when they, uh, when they find a void.

The low of, uh, uh, refraction, refraction, yeah, they can change slightly the orientation of the, uh, of the, of the pet, like that, and so the detectors can, we'll detect in a history of these months, why are traveling the, um, the pyramid. The good thing is that ones are, uh, free because they are the cosmic ray, and they are very, they are, it is like a transmission that is parallel, because they come from very far and so they are parallel, it's a parallel transmission. So it is like a plain wave in the electromagnetic, in the term of signal processing, I can do it blind though, that signal project is a very basic signal processing that they use.

“Uh, on the, the detectors are, uh, detecting the months, and so you have a history, a history of integration, because I think that, that, that, that they, as to be there, months.”

Yeah, it's a very long time. Yeah, in the integration of months, um, the difference between months and my technique is, uh, it's not so different, because you have to do, you have to focus the raw data there, you have to do an FFT in order to retrieve the, the tomography slice that belongs between the tomographic line is, is, you buy the detectors that are,

be, the data in the, in the chamber, and what you see is the vertical cutting that starts from the detector to the end of the pyramid, that's the, your, your tomography.

“Yeah, and in six months, I don't know how many tomographic slices you can retrieve. It depends on the, uh, on the detector with the, that you have inside the chamber.”

So this move on technology is the accepted and utilized archaeological procedure for detecting these internal chambers. And as you can see here, they had these move on scanning devices, and the detectors set up in the Queens chamber, and they were investigating the presence of this big void. And you can see here a big, so again, to clarify the difference, the move on to actually do penetrate the body of the structure and the detectors are measuring the difference in the reflection and the absorption of the rays as they pass through the various chambers.

Only show, so they don't show, like Filippo's work does, a two-dimensional slice, so it doesn't have the same tomographic line capability, the raw data that they show in this paper is only a top down view, because that's the way the detectors are looking, right? So they're looking up. Because they don't know how to do it, because you can't, I don't, I don't say anything now, because you can do also tomography with that, because you can do, but I don't, I don't say things that they, then they, they can.

Because there's, there has to be an explanation.

That's a two-dimensional, horizontal plane, not the vertical plane, but it's good. Yeah, we can interpret it like that, but you can do also using nuance, also tomography, you can do it. Can we get a little context on who's doing the move on scans and when? So this has been going on, so I'm certainly no expert in this, this paper is published by, they work with a Japanese team that's been sponsoring and provide, and providing the funding for all of this, working in conjunction with the Ministry of Antiquities,

and I think this was published, I don't have the publishing date, but this was, but move on detection generally in the context of the great, great pyramids,

“or either Giza Plateau rather, would date back to like the 70s I believe?”

Yeah, so they actually, they move on scan the central pyramid back in the 70s, and I have that paper in here as well, so we can discuss the move on scanning of the central pyramid compared to the new SAR scanning. And I'm not an, again, I'm not an expert in the technology. That's why I would defer to fully go to answer the question. You went in detail about this paper, because you are now explaining me how we can read their data, their results.

Sure, it is important. Yeah, and again, I wanted to be as transparent as possible in the conversation, where I present all of the information that we have to analyze all of it in conjunction with what the SAR team has presented. And this is just the opposing technology that has been conventionally accepted. Because, again, SAR is new. It's controversial. People are either loving it or hating it, but this is the accepted technology.

That's their doppelte-demography. Correct. Yeah, and the move on scanning is accepted within the archaeological community as the established methodology for scanning internal chambers.

“And to sad a little context, I think the original guy was Luis Walter Alvarez, who was not only extremely high up in the Manhattan Project,”

and instrumental in nuclear fission, and creating the atom bomb. But he and his son actually developed this theory that dinosaurs were wiped off the face of the earth. Do you do an asteroid impact? Wasn't really accepted for a long time. I want to say this paper.

Oh, look at the name sounds familiar. Yeah, he may be the author of this, because it was during the 1970s. Yeah, when they move on scanned the central period. So this was his idea that 66 million years ago, you had this big asteroid impact, and it wasn't really respected until later on.

And so I do think the move on scanning was always a little bit more accepted, but it is interesting.

Yeah, things start stigmatized, and then they often come to this technique.

“You can't separate, and this is important.”

I have to do it. It's good. I love this technique. But you can't separate vertical layers. So you see you are watching here the same of all the vertical layers composing the pyramid. The layers. The layers. Yeah, vertical layers. No, sorry, horizontal layers. Right, right, yes.

The vertical is the same of all the horizontal layers that the sensitivity probably cone sensitivity. Yes, the detectors are watching. Correct. And they also mentioned this in the other paper. The cone of detection is mentioned in the paper regarding the central pyramid scan. So what we're looking at here is again, it's the focused process data of the move on detection process.

And what we have here, they can detect a pseudo vertical sensitivity by using two or more observations. So you put a detector. Correct. Yeah, you can see the detector there. And you and you perform photogrammetry in the move on the mine with photogrammetry they can. Let's say with an approximation. The twice the approximation of the position of the big void because they are not sure because you have a base of difference.

Yes, it's in viewing the more domain. Yeah, so the view angle of the move on detectors. You can see here that the one placed inside the the Queen's chamber is looking up.

And then they have the second detector on the northern face so that it's looking up in this direction.

scanner B to to come up with a composite image of the location of this new void.

So again, I thought this was important to include and this is the data. So A is the signature on all four of these of the King's chamber. B is the location of the grand gallery. And here is the detection of the new void. So they're showing it again. This is not very reassuring either.

What am I? Yeah, yeah, exactly. I'm sorry, Jeffrey, but my results are better than this.

“Well, no, I believe that's why I put this in here.”

It was for the exact reason. You said that during the presentation and I still have one idea. I tell you, I was translate about all the data and it's like asking the owner of the restaurant. If he's wine is good. So that's why I started off with Margaret Yeah, move on all day move on detection.

Yeah, okay.

So that's why I put this in here is for the lay person.

Yeah, right, who's looking at Felipe's data and they're saying, I can't understand anything of what I'm seeing here. It just looks like a bunch of mess. If you look at this, this looks like a bunch of mess too, right? And you really have to have an expert at that particular scanning technology. Do a detailed assessment of what we're actually looking at here.

Even, but this, the reason I put this in is this is the data that they have used to justify the archaeological excavations that will occur to investigate the big void. This is what it looks like. Hmm. Oh, yeah, I mean, Mike. It's like what the hell are we looking at?

Yeah, I mean, it's like, I pulled this up after I did Danny show. It'd be nice because we were talking. Yeah, exactly. Yeah, exactly. Because it looks like abstract, it looks like a nice album cover to me.

Yeah. Because I wanted to see, I'm a stickler for looking at the raw data. I don't look at the models. Yeah. I don't like, you know, I want to see the actual show me what the scans show.

Yeah. Like we were talking about with the labyrinth in Hwaris scan. Yeah. Show me the actual scan. Well, this was, I mean, I don't want to say it.

I don't want to say it. I mean, we'll bring this up in our one-on-one.

“But you, you mentioned to me, before the podcast, I was like, what about that?”

That 40 meter long tick-tax shaped objects in the labyrinth and under Nithawara. And you were like, that was only written about in a blog post. And to be honest, I'm a fan of Ben van Kirkwick.

So that was the first time I had heard.

And he was kind of pouring a little cold water on your stuff as if that was less tested. Then so it's a tick-tax shaped object. But it's just more legit to me if that's from a blog. It's been interesting to see the reaction of the community. Yeah.

And people on, because we're all in this community of alternative ancient history. Yeah. And the reaction of some people, again, has been complete rejection immediately. Some people love it. 100% no objections.

But there's nobody that's really taking a middle ground on this and asking honest objective questions. It was like, that's, I'm kind of honored to be in the position to be here to have this conversation. Because I've invested a lot of time in trying to understand this. Yeah. I've read the papers.

I've looked at the conventional scanning stuff. I've investigated the MOON data. And this is super important to my overall work is making sure that we really understand what's going on here. Love it. Let's keep going.

It's just been weird to see the reactions of people in the community where they're either debunking it or they're on board 100%. Yeah. And there's nobody that's really, Well, it's just ego. Every identity gets wrapped up in a position and then you pre-crystallize knowledge and you end up engaging in bad thinking.

Instead of being like, oh damn, I don't want that to be true. But just the facts seem like it's true. Yeah. And it's like, yeah. Yeah.

Yeah. See if I can add the same thing. Yeah. Constructively. I may say this.

If a multual collaboration between the scampionic project and maybe our research team will be possible, I think things will go better. So MOON's +... Yes, that's a mess. It's hard to apply tomography.

Yes. Mess. MOON maybe things will be better. Sure. Sure.

Sure.

“Well, I think it would also be a way because MOON's are more tried and true and accepted in a conventional scientific sense.”

For them, it would be like, oh, this pattern matches. You know, like, what we are deriving from the MOON detection,

So I think that's... That's... But why? Yes. Yes.

Yes.

That's true because you have to go...

Yeah. Look, he started the detector and then you see what there is. Yeah.

“And for that, you need to manage your culture to let you go down there and do that.”

We take a collaboration. Not to the separation. A collaboration. So I work with you. You work with me.

We share what we have. We share our knowledge and our gaps. Love it. Okay. And so sharing knowledge and gaps, I think things will work better.

Right. Yeah. So my next question here, and as we'll see in just a moment, the SAR team has detected some features that go around the King's Chamber. From a...

So that is the King's Chamber. Yeah, here A. They say that A is the King's Chamber. Correct. And as I'll show you...

You know what I'm talking about.

The features that go around the King's Chamber. So why do you think that they haven't shown that when you're picking it up on your data? And I'll fast forward a little bit here. This 3D diagram. Yes.

So here is the big void. Yeah. You're showing it more transverse. Transverse like that. Yeah.

They're depicting it as more longitudinal. There scans show it north to south. Yeah. Yours is showing it east to west. Yeah.

And you're detecting these features that are possibly connected into the big void. Yes. That go around the King's Chamber. This is the King's Chamber here. Oh, that's that.

Yeah. The top of the King's Chamber. The top of the King's Chamber. Correct. Yeah.

And then you have this feature here. Yeah. We cannot throw a bit of that. But the results of the one we did that. Right.

Yeah. Correct. So my question is... Yeah.

“Why is nothing like that shown here when you are detecting it on your data?”

I don't know why. Because they are not able to detect the things. Jeffrey, in that results. I'm a scientist there. So I am very used to read the mess.

Yes. National inside things that I'm seeing nothing there. Can I ask it there? Yeah. I'm sorry.

Yeah. I'm not there. I agree. This is very difficult to read. Can I ask it differently?

Sure. Are there other examples of things where move on detection fell short as far as predicting a structure that we know existed. We know the structure existed. Move on.

It's fell short. There's another comparison coming up here in just a moment of the scan results. Where it's not showing something. Yeah. There's something in our team.

So again, there hasn't been much competition in the archaeological space where we're comparing these different technologies. So now we're in a unique position where there is a competitor technology to the move on scanning where we're saying, okay, this is showing this. This isn't showing it.

Sometimes this, you know, there's this. But I mean, in any archaeological or scientific context, like because that would be really helpful

because if it's like move on's never miss.

Like, okay, you got a false positive on the sorry Doppler demography. Yeah. If it's like, but there are a few times where move on's do miss in these other cases. I do think that's your illustrate. Yeah.

Yeah. And again, I would love to see some control. Yes. We have King's chamber here and I could move the. Oh, that's the King's chamber.

King's. This is the King's chamber. A and this is the grand gallery here. And what Felipe's team is detecting is a structure that goes around the King's chamber here.

“And but I think as I saw in in those results in these horizontal pictures, more pictures, which I repeat is the same of all the horizontal layers that I tell here publicly the research team of a more”

team. There is a method to discriminate different players. Right. So Paul slices, they're just looking at the composite image. Correct.

You can you can do it. Okay. They can do it. Okay. Maybe I can move.

Yeah. Yeah. Go for it. So this is the top of the Z. Correct.

Yeah. So it's looking down at the top of the pyramid. Correct. Okay. This is the.

Let's say is the King's chair. Correct. A is the King's chamber and there's these images. Yeah. This is something related to the ground.

Correct. B the arrow pointing to B is the grand gallery. Correct. On the other hand, they are detecting the Queen's. The King's a chamber.

On another view angle. Yes. Yes. Obviously. B.

This is the ground value.

Yep. Okay. So we have two different view angles. This is the geometry and this is the geometry. Very good.

And also other geometries. This and also this.

“The important thing that I am observing that here you have two things.”

This and this. Yeah. That's the new void. Yeah. Yes.

And this. Yep. Here you have only this. Why here you have only this and here you have this. Which is the difference.

Because the orientation seems similar. Why? There's written on the gala. Yes. Why?

Yeah. Because I tell you what is made. They are confusing something. That's why. So here.

Here are the explanations of the positioning.

Oh. And this this breaks down the whole graph. And then here on this side are sort of the. Oh, but yes. The derivative.

Okay. Yeah. Can we go to the previous slide. Please. Okay.

It can be. That this is the gala. Top proof. And this is the gala. And they are in Italy.

We're saying. Taking. Katsi. Pekuntrabassi. Hmm.

No. Taking. Taking. What do you mean? No, no.

Taking. No, don't say it. Don't say it. Taking. Things.

Two other things. They are confusing. Ah.

“It is possible that this is the floor of the gala.”

Because are parallel same shape. And this is the roof of the ground of the gala. Because it's very high. The gala. Sure.

Of course. Yes. In my personal opinion. In the look, Jeffrey. This is the gala.

This. Because it. It has a shape. A rectangular shape. Maybe.

Maybe. Look. This. Or. This.

They have to do other measurements. This is not the gala. This is the top roof in the. And the bottom. Of the same.

Staff. So the gala. Okay. So you are using. They might have misinterpreted.

Yes. There is absolutely. Interesting. That's fascinating. Okay.

Sometimes. Why I have to build. A big void. They say. The big void is parallel to the gala.

Why. Why I have to. I have to. I have to build. And inclined.

So called big void. So we are detecting. So we are detecting. So let me clarify. Yes.

Their results are suggesting that the big void. It's not parallel. But it's directly above. You see this area with the positive. So this is where they're picking up the signatures of the big void.

They photogrammetry. Okay. That they are doing. So that's why I included this. Yes.

Because I wanted to get your opinion. Yeah. On these results. And compare them again. What he's showing on his team is an east to west.

Transverse big void. That's located more down here. And parallel. Because the. The floor and the roof are parallel.

Yeah. What the what the move on team is suggesting. That the big void is here and decline. Directly above with the same angle as the grand gallery.

They basically described it as a copy of the grand gallery.

Directly above it. So there's just a difference between these two things.

“And we haven't verified in either the only way to figure it out is to go in there.”

Yeah. Which they're going to do. And we're going to see exactly what's what hopefully in 2020. Because if you go in there and you figure out who's right. Move on or start to upload toography.

That lends a lot of credence to the substructure readings of start to upload toography. If you find a positive result. Sure. Now the thing is the Egyptian Ministry of Antiquities believes in this so much. Yeah.

That they are willing to do the excavations based on this data. So to me, that is staggering. What's your take? Because when I look at this, I have the same reaction as Felipo. Oh, really.

Is how. How could you possibly say with any certainty that what you're detecting here is real. Based. You know, it's the same argument. How big is the community of experts that know how to read move.

Well, that's the whole thing too, right? Yeah. That's why we're having a conversation with an expert because the community in ancient alternative history.

We are not experts in radar. My question is when it comes to reading, move on scans. That seems like us expertise or specialty.

“Have you read a lot of these and are you good at that?”

Or are there people out there that are good at that? You're just basing their interpretation of your result. Yes.

In this moment is the first time.

Thanks to Jeffrey that explaining me how to read the data. Okay. Okay. So we are in front of results. Based on these results, they are doing extra.

We show this to somebody who's read a lot of move on scans and we'll say that in the paper, like you guys did, they also presented all of the mathematical analysis of the data detection. But I didn't put that in here because it's way beyond any of all. But it's like the question of. Yeah.

Yes. If you watch the dimension of the King's Chamber and the top of the Z, A, so the distance, the horizontal distance of that. So these things should actually be connecting, you know, this should be connected into this. So that's an error.

“Well, it also depends on again, like he's saying, it's a composite of horizontal layers.”

Right. The only part of the grand gallery that connects into the King's Chamber is on the top layer. Uh-huh. As you go down in the structure, the integration between the King's Chamber, anti-chamber and grand gallery. There is no more connection between the two.

So basically what Felipe was pointing out here is this signature and this signature here.

And he's saying that instead of this secondary signature, being reflective of a new chamber, it's actually part of the grand gallery where this is the top of the chamber. Yeah. And this is the lower portion of the chamber. Got it.

Got it. Okay. So I just, I wanted to show what the existing technology was. Yeah. So that the lay person can see the difference between the two.

What the data looks like and see how much of a, it's a difficult process to understand what is going on with any of this stuff. There's a source. If you are not an expert in that particular scanning technology. Well, we should send this to people who are good at reading move on scans.

But you're saying, Jeffery is we know that they do get that disconnection wrong.

That little point. We know for sure. Well, again, as Felipe was said, it could be a by-product the same way with SAR technology. Well, it doesn't pick up all of the chambers because of the particular slice. Right.

This may not be vertical slices, but horizontal layers. Yeah. Where they're not picking the layer. But they're creating the salmon. They've got salmon.

So it should have it if it's a sum of top to bottom. Yes. It should integrate all of that into one. And it should show that because the king's chamber connects into the anti-chamber, which connects into the top of the grand gallery.

So if this is actually, and you can kind of see it here. So why are they missing that in? So let me show it here. So here, they actually do kind of show. You could see what would be the anti-chamber here.

Yeah. The king's chamber here. And this is the grand gallery. Okay. This would be the anti-chamber.

And this is the king's chamber. And that's accurate to the configuration. So in this one, they actually do show. About what is the big void of that? So this doesn't show necessarily the big void.

To me, it's not visible in this image. But this is the mathematical detection of it. He is possible to read the results of the analysis of shintilation. It is another shintilation. So this explanation down at the bottom gets way deep into the technical weeds where

it would take a in-depth discussion with an expert to understand what's simulated data. No, no, no. Those are simulated data. Simulated data. Simulated data. No, no, no, no. Simulated data are not real. It's a simulated, it's a simulation that simulated data. So you're saying this is a simulation. So it says simulation.

Corrected image. See, it's not real. The real one is the, we have one. This is that. Right.

“So is there a process, like you said, with your data of focusing?”

So is that what they're doing here? Is focusing and correcting the image. That's the question. For each one. Our numbers are synthetic numbers are not real measurements.

Okay. So it's not real.

It's just to show the, the processing that are doing.

It's not real data.

“Okay. And again, there's, I only picked the data images for this presentation.”

Because I just wanted to compare and contrast the raw data from your team, In comparison to the raw data from the muon team, Who knows, which one of these is right? And again, we're having a conversation with an expert on SAR technology. The next person we should have in this round table is an expert on muon technology.

So that we could all understand exactly what's going on. Oh, of course. Yeah, yeah, he was today. No, yeah, maybe we could explain one to each other. No, it might be so.

And I do have the whole paper. But I would have to close this. And then it would be a huge tangent for us to look at the math. No, no, let's take that. So there's a whole paper about this.

If anybody wants to do a deep dive into muon technology, They wrote a deep paper.

The same is with your first paper.

That includes all the mathematics. So that in the scan processing. So that to tell the R here is that you have. Exactly, exactly. Exactly.

Screpancies between the muon reading and the Sardopo tomography reading. Sure. And in definitely tried and true method, Muon detection and many cases. And then at least in the case of that one kind of cold-to-sac shaft.

We, you know, tried and true as well. So some are not pointing at this is. Yeah, from the perspective of the Egyptian Ministry of Antiquities, which is the sanction body for investigating the structures. They used this to find the shaft that we just saw that your team also found.

And they're using this data to justify the excavations into the big void.

So this is one of the first times that they're going to do a major.

Excavation into the great pyramid. So there's only been a few other instances where they've actually drilled into the structure. So that's a major project to be approved by the Ministry of Antiquities. They don't do that lightly, right? It's a big decision when they decide to excavate into the structure.

So they do believe in this enough for them to justify this project.

“But again, who can make sense of what's what on either one of these things?”

Do you really have to have an expert? I'll a flippo here or an expert on the move on technology to really explain exactly what's going on. So next, I really want to get to the, because again, this could turn into a six hour long discussion. And we'll be here for the rest of the night. Yeah, yeah, so I can skip through this.

The reason I wanted to show this section of the paper is because the SAR team is finding other structures like tag one here on the right is the data. It's known in tag one here in the model. So this feature here that goes down into the bedrock, then there's this step like feature here. Probably probably probably. Again, yeah, so so they're interpreting this data over here on the right into a model to show their interpretation of what this signature actually is.

So that's all I'm trying to show here is the presentation and the development of the model itself. Yep. So you'll see these different tags, tag one, tag seven and tag four, tag seven is this transverse east to west, beam like feature. And then you have these step like features here. I actually proposed in my video while back in 2021, so there have been researchers that have proposed that there was a system of locks hydraulic locks that were used to move blocks up into the pyramids.

So an interesting interpretation for some of these features could be construction related features that are still encased in the body of the pyramid that are remnants of the construction process like water locks. Where they were using water locks to float these stones on rafts up into the pyramid body.

“So again, it's it's important for any researcher who's analyzing these things to be able to have an interpretation of the function.”

That's kind of my job in this investigation is when I see stuff like this, I either have to assess it from the perspective of the operation of the structure or possible vestiges of the construction process. And it would make sense even if it was like the internal ramp, for example, you would have remnants of that internal ramp inside of the structure. If it was water locks, you would also have remnants of the vestiges of the water lock system encased in the final structure. So this is just showing some of the things that the SAR team discovered inside of the great pyramid that are new undiscovered features.

Okay.

“Again, this is just going through showing these linear features here and the different tags that are represented in the model here.”

So tag number two is the feature on the other side. So you have one here and then two over here.

Okay. Same thing with that. Yeah, this you see it the very well. Yeah, here we go into some more where. And that the granularity you see here. Yeah, yeah, so I was going to point that out here.

So this is the grand gallery. And you see also that the the the superior part of the granularity. That. And you go up as that there are futures that are connected to do the king's chain. The anti-chain.

Yeah, the anti-chamber here. This is very clear. You see it.

So again, this is I'm just showing to everybody who hasn't seen this yet.

The raw data on the right and the extrapolation of the raw data into the 3D model. So they're just interpreting the features that they see here into this model. Can I ask you a question? Yes. Do any of these structures that they're interpreting from the raw data fly in the face of what conventional

archaeology would think exists inside the picture of it. All of it. All of it. Okay. All of this is the only known vetted chambers of the great pyramid. King's chamber, Queen's chamber, Grand Gallery and subterranean chamber. You have four chambers connected by a system of shafts.

We're obviously going to get way deeper into your theory in our solo episode.

“But does any of this comport with the functionality that you think?”

I've integrated all of this into a functional hypothesis.

So I have Filippo. I've entertained all of these speculative features in a model of my hypothesis for how the structure works. Okay. For example, the heat exchanger system that goes around the King's chamber and above the Grand Gallery, the extraction shaft connected into the Queen's chamber, which is that shaft leading out of it.

And I also have a hypothesis for how these again. I have a number of different interpretations for what these vertical features below the pyramids might be. I've not publicly yet, but I do have an interpretation on what those could be. Reason I haven't come out publicly yet is because I think there's still more investigation that needs to be done to verify the configuration of the structure.

So again. We have more. Yes. That it is a bit confusing. It's very confusing.

Some of the basic confusion around the pyramids is perennial debate and question is how they were built. Sure.

“And you have people like, I think John Peer-Hudann and France,”

who say that there's something about like, you know, internally like the blocks get pulled up or something, could any of these structures deal with how the pyramid was? Well, that's what I was saying. Yeah.

So like a pulley here. For example, in the in the model, you know, these could be remnants or vestiges of a water lock system that were used to move blocks up into the pyramid. Interesting. It certainly could be my only issue with this is the extrapolation from the data into the model. Yes.

We that is things that we discussed previously. Those are two tomographic lines. No, if we had the chance, the chance to see the video belonging to tomographic lines, things could be perfect because you are watching something dynamically and you recognize very well the structures. So for example, in this one on the top right,

there's so much going on with this over here. A lot of false alarm, yeah. False alarm. I may wear that. So how do you have false alarm, but it is only one.

You have other. Right. Yeah. So we you agree that in all of this raw data, it's very difficult to say with any certainty based on all of the interference in background data.

That the model itself, so the data is clearly picking up something. It's difficult for me to be on board with the model, given what I can see in here. What would you say to that? The level of intricacy given the fact you want to go back on slide.

Yeah. Just just given like how in detail and intricate the model is, the 3D model that you guys have derived and then also given what you just said, which is, there's a lot of noise in the raw reading.

Absolutely. Why? I'm 100%. Wow. Because we have interpreted really a lot of results.

Okay.

So you're basically saying you're like a pro removing the noise.

Like you know what's not, you can delineate the noise. Because you said there's a lot of noise here. It's not, there is not, there is, it's so called the three pet, a vetika strip noise. And we have removed it and now in the new tomography.

Okay. That kind of noise. So there is nothing anymore. Well, then to me, it's like the new on scans, like I don't know.

Yeah, you're here one, right? You can be looking at both of them. Yeah.

“And I think Felipe was point about a synergy between the two technologies.”

Yeah. Emerging the two techniques is probably the best course of action for really getting closer to the truth.

Yes, because you are detecting things and then you use another method,

another complete other method to try and detect the same thing. Yeah. So for example, Felipe, you said that the scan happens once, and it's 15 seconds. In inside of the structure,

there are going to be micro vibrations that are happening, just based on the geology and the, you know, seismic movements or anything. Yeah. So is it possible that some of these detections of micro movements

are simply the nature of the structure itself, where it's going to pick up something inside of the structure that's producing these micro movements? Yeah. So these images aren't necessarily even background noise,

but it could be just foundational elements of the pyramid with tiny little shifts of the block or the slight movement of the earth,

“producing these micro vibrations that are producing a signature”

that's picked up on the surface. So it's the difficult thing, and this is his job, because he's the expert, is differentiating between background noise, normal vibrations within the structure, and actual chambers.

So that's critical in really understanding this data,

is the differentiation between each and trying to separate out which is which. And if you feel confident in your ability to differentiate, I have to say this also. Everything we put that we, we, inserting the 3D model.

We, we analyze it a lot of results. So we are, I can't say sure, but very confident that probably things that we, inserting the 3D model are the reality. Yeah.

Effective. Okay. So let's go to the final 3D model. Yeah. Which we have, so this is another good one.

So again, this, this is the Queen's chamber here. And we have the shaft. Look down out of the Queen's chamber. Look at the red signature here. And also below the below there is something here.

Yes. Right here. Yeah. So again, it's, he's the expert in interpreting what the actual data is showing. And this is the model that they've created from this perspective.

Can I just say that the 3D model looks absolutely wild. Like, it looks like an advanced contraption. It does not look like, you know, something that we would normally associate with being built. Well, you know.

It's 4,000 years ago, let alone, you know, 10,000 years ago. Yeah. Yeah. It's crazy. So the model is wild.

Yeah. And I, again, my only caveat to the model is like, I don't see how you get to the model from the data. Yeah. But it's your job as the creator of the software and the developer of the project

to take the raw data and turn it into something that the people can understand. Yeah. Because the only one that we have to put it in.

“Can I ask you a question when you measured the grant sensor laboratory?”

Yeah. Go back to that. Yeah. Are you getting that level of granularity with it? Are you letting jump to instruments and all that stuff?

Let's see the grant sensor laboratory or you getting that level of, when I say granularity, that level of specificity. I tell you, yes. Really. So I want to show you.

And this is an important part of the conversation. Yeah. Yeah. The proof of concept. So it's nice.

But we also have tons of mess. I don't know why. Because I have to integrate also in the vertical dimension of this tomogram. If I integrate like that. Yes.

But they are not false alarms.

They are true alarms.

“Because the soil, the ground, it is a mess.”

So the result is the reality. Because the sound does not propagate into the free space. But only. But it is propagating inside the matter. And the matter is complicated.

So look. You have that mess. I don't know. I understand. But again, from a person who.

My entire body of work and anybody who's interested in the function of the Egyptian pyramids. If there is a new novel approach to detecting internal chambers,

we want to see consistency of the detection of the known structures.

Which in here we do have a great signature down here. Yes. The Queen's chamber in this one doesn't have a great signature. We have background data here. Yes.

It's obscuring the view of any signature from the King's chamber or the Grand Gown. But I guess Felipo.

“Would you know that that's a problem from the layover of the technique?”

Would you know that if you didn't know the structure? Would you be able to say? Really? You say that pattern matches. Yes.

That's obviously very well. Okay. Yeah fair enough.

And then the Queen's chamber, like in other cases.

You don't have only one, but you have a plate of rubber results. And you're able to track into the demographic dimension of different targets. And you're sure you just missed the Queen's chamber because it was too small. Yes. Okay.

And you've missed it. It is small, but in that particular slice, you don't have it. Yes. You maybe I don't remember now this case. But because we did it all the time.

Okay. I don't remember. But probably we did not align the demographic slice on the, on the, on the Queen's chamber. Okay. That's good.

Yeah. And again, what I found really compelling about this one is the signature of this tag here. Oh, yes. Going down from the Queen's chamber down here into tag 15, which is represented by this blue line here. Yeah.

So this is again, been reported in the archaeological excavation that there is. There is something like this below the Queen's chamber. And did you know? It's covered up now.

“Felipe, did you have any context on that in the historical record before you made this measurement?”

That's really crazy. That's pretty cool. So that again, you know, again, I have some. No, I'm listening. Yeah.

So there's, there's some, there's some positive. Wow. There's some positive things about it. Yeah. And there's also some questions and some negatives where we don't get a conclusive answer.

So my, my objective with this is try to parse through what we can see. And what we can't see to try to make a conclusive determination about what structures are actually there. And this is an instance where the anecdotal archaeological reports substantiate the idea of there being a shaft and chamber system. There's some below the Queen's chamber, which is certainly looks like there is something coming down from the Queen's chamber here. So this is again, when I initially looked at this paper four or five years ago.

This was the part that I found most compelling. The shaft system below the Queen's chamber. So now I think we could move on. This was another interesting one for you. Yeah.

So we were talking about this here. So you know, well, let me ask a question real quick. This is the look how nice it is. Sure. This is the look and this is the grand gallery.

Yeah. This I like it a lot. I like a lot of this thing here. This is the that is very clear. Look how nice it is.

This are not simulated data. This is the grand gallery. And probably we are detecting, I don't know if we are detecting also the big void, but some somewhere here has to be, but maybe in this tomographic line we don't see it, but we see it very, very nicely, the grand gallery that is this and that's it.

And also the structure that is surrounding the z which is this look look of this.

There's the slide of that in the next one.

Yeah. And the grand gallery is here like that. We should see also the big void. But I have to retrieve the original tomography, the high resolution. Oh, but here we are not seeing the big void.

So you have it labeled there at tag 19. So in this one. Yes, yes, yes, yes, yes, I'm sorry. Thank you, Jeff. Yeah, yeah.

This had. So are my results about, I did it six years ago.

“No, so I don't remember exactly the how we manage to.”

So my question about this was this signature. Oh, is that a yoga? You don't think.

The yoga is something really to synthetic a virtual.

So it's my job. But do you think? So we know that the pyramid is built on a mound of bedrock. No, that's not. Could this possibly be a signature of the bedrock?

No, that's the signature of the yoga. Okay. So it is something that the radar retones is so strong. That you retry, you retry that signature also in the vibrations. Okay.

It is something that I can explain it to you scientifically. Yeah, if you want. No, no, I just, I just, I need something. There wasn't any explanation for what this was in the paper. So I wanted to ask you an operation.

Do you buy the yogurt? Is well known to me. Okay. Okay. But inside the operation, inside things, you can see very clear the, the, the, the, the, the, the, the, the, the, the Z and other facilities.

And also the big void tank 19 here. Yeah. Okay. That's the panoramic view of what we are dealing. Look there.

“We just need, I think you Felipo to create known standard conventions for what is lay over noise.”

And what is, you know, empty space. And what is, you know, physical material of XYZ density. I think all of that need to be laid out in some sort of taxonomy by you. Yes. So that the open scientific community can kind of corroborate and check your work.

Yes. I think, Jeffrey, that invite and you also just and Jeffrey, you invite me here. And we are, and I am giving you additional explanation of our technique. Okay. Yeah.

So they will spoke about an incident, saying on how to see deeper, how to see only the pyramid, the layover, no, that's because of the layover. Okay. It's a false alarm, but we know it is there. Okay.

We don't consider it. Yeah. Because we are rather experts. Okay. It's, it's not.

What an average radar expert, be able to tell between layover and, you know.

I never had a radar error.

Yes. Can distinguish the layover and the foreshortening and the shadowing that are the three main issues. So that the average radar.

“But in the Doppler tomography domain, you have to connect these things.”

You have to create new conventions for kind of digesting this stuff and processing it. So I just wanted to show these last diagrams, the final diagrams. So the top view of the big void connected into this square structure around the King's chamber. I suggest you to grab this image and overlap this image on the moon. Scanning results.

Yeah. Do it. And then let me know. You will see also the big void like that. Interesting.

So again, the comparison of what we were looking at is that they're showing it's a north to south orientation. Yeah. Here he's showing it as a more of an east to west orientation connected into these other structures around the King's chamber. Then we have kind of the final schematic. With measurements.

So they took. Now you are on this. So what they did here is they took the data and they measured all of the data. Yeah. And they interpreted the specific measurements of the signatures that were received by the radar.

They incorporated the measurements and all of the unique features into a complete model that incorporates all of the new features.

We have this chamber system and shaft system that goes around the King's chamber here. We have the shaft system below the Queen's chamber and a possible connection point as Filippo mentioned. Between the newly discovered feature on the northern face that connects into the grand gallery. So this is a complete reconstruction, including measurements that were taken from the raw data and put into the model. Yeah.

So now let's go to the new paper. The new paper.

We established a foundation of the first paper.

Yes. And I think have done probably an overly in depth analysis.

“Yeah. But I think it's important that we have the discussion.”

So there's one main question I have about the new paper. Yeah. At this point, everybody's already, I'm going to assume. Everyone's already seen the raw data images. We're going to, this is the scanning of the coffra pyramid, the central pyramid.

And this is the data that they are showing of potential new structures. Above the existing chambers inside of the central pyramid. Yes. And I'll show you a diagram here in a moment that compares the known chambers to what we have here. And this is their reconstruction of these vertical pillars.

I know everybody's seen that at this point. Yeah. So let's get to the proof of concepts that were presented during the Malta conference. Yeah. These were scans of modern structures that are intended as proof of concept.

Yeah.

That this technology can read the micro vibration surface signatures of internal structures.

Yeah. That in terms of seeing that process in information, you penetrate. Yeah. So my main question. So here we have the Carl internal.

Yeah. And this is the scan. This can look. Okay. So Philippe, can you explain?

Yeah. So the qualitative image here. Same thing with the grand sassell. Yeah. This is the raw the processed data showing the tunnel here.

These are all this coming. And this is the the grand sassell, the physics laboratory. So here, here we have the configuration of the laboratory. Yeah.

And here on the left is the data.

Yeah. Right. Okay. Can you explain why this? Yes.

Looks completely different from this. Yes.

“What is the difference between what is going on here in the proof of concepts?”

It's a signal processing procedure. There we are dealing with something less called white and white R. The cassas is big. Right. Yeah.

And the focusing procedure of the phonons are different. So we use something different. That we can see both. Very white. I can say the details, but the details are that there.

The focusing process is done to see, okay, I want to see. Why the, okay. Focus wider. Hmm. And then we are observing the grand sassell because it's big.

The grand sassell. Okay. So what is the footprint again? So we said that when you are scanning the pyramids. Yeah.

You have a 5k by 5 kilometer footprint. Yes. Area of the scan. The footprint. Yeah.

“So it's the same, but if you want to scan.”

When you don't frame the tomography client, you put it on the camera. Sure. Sure. When you scan the grand sassell. Yeah.

Is it the same five kilometer by five kilometer? The same. So it's the same footprint. Yes. If the focusing technique for this scan.

Yeah. Produce this quality of an image. Yes. Why are we using this? Yeah.

To image inside of the pyramid. Can you explain the technical reason? Yes. Why? Because I thought these were not used in the pyramid.

We'll both. Okay. Right. So this is a scan of what's inside of the pyramid. Yeah.

And this is a completely different type of signature than what is shown here. Yeah. So there's a very big difference between these two things. Yep. So can you explain what the difference is between the process and the end result?

One thing is that this is black and white. Look. And the other one is another kind of color. So you see red and blue, red and blue. So it is a different representation.

So again, we have here is the tonal. Blue, blue, white, blue.

And there you see is red and blue.

Hmm. In the case of the grand sassell. I used a different processing technique. That was like an experiment. Why?

Here I am seeing it in a different color. Because here I attempt to do different process of different tomographic lines. Like that. Because I wanted to mitigate the noise in the vertical direction of the tomographic line. Like that.

So to average pixel by pixel, the noise. And we see that the results are very good. Yes. But I spent at least two months of processing time. Okay.

Why didn't you do this? Then why? That's why.

It's not something that you end with every day.

Because I went to my friend's side. Can I use your computer? Yes, but I can use his computer forever. No. But it sounds like that's a superior technique.

Yeah.

“So why wouldn't you use that on the most important device?”

You didn't have live on the computer. I am poor. Oh no. Well, let's get you the computer. I had my use once I have.

But you have to understand how to, to like, random person in the audience. They're thinking like, "Well, why don't you use your friend's computer?" Yeah.

Because of that. So for example, this, this proof of concept. Yeah. Also wasn't presented in conjunction with the original paper either. So this is new from the Malta Conference, which was in 2024.

Yes. This proof of concept is newer compared to their original scans in 2020. So to me, this is far more convincing than anything that we've seen thus far with the original scans. This is the, the, the, the, the, the.

“How much would it cost you to do the equivalent of this?”

But for the corporate pyramid, substructure. My project in the future is to do it real time and just I want to do it real time. So how much would that cost you? I don't know. A lot.

Okay. But I can't see you. I don't know. But yeah. How much of the validation, I do think it's important, because it, you're saying that the processing was slightly different here versus.

So when you're citing this as validation, how many of the other examples, like the Osiris shaft or other things. Did you use this kind of more rapid. Not like everything that you are. I have all of them. Black and white.

Yeah. I have all of them. Okay. So again, it, for my perspective, somebody who is super focused on discovering the true configuration of these structures. Yeah.

Why would we even publish the initial results if the capability existed to do something superior that could eliminate all of the background noise and confusion. So in your first paper, you made the statement transparent like a crystal. Those images from the first paper are not transparent like a crystal. This is, this is transparent like a crystal. So why would we not use this as good?

This is really good. This is way better, Felipe.

“And that's why this is like super important.”

When I was watching this in Malta, I didn't want to get into two in depth of a comfort. But when I was looking at this, I was like,

this is actually something that very much resonates with me as being a very powerful technology.

What you showed in the first paper, the differentiation between background noise and layout for everything else. The word says the first paper. Yeah. This, it was the initial of our research. Sure.

Go back in time, six or seven, we began two years before the papers in 2018. Nearly ten years now, eight years later. So the software was the initial software. Right, the ink said we did. It resonates like a crystal.

It is transparent with noise. When was the last one? It's an old crystal. Yeah, well, it's not a crystal, it's limestone, right? Yeah, so limestone is not a crystal, but this, the qualitative process image of this is very much transparent like a crystal.

I thought this was spectacular. Yes. And when you're presenting this data to an academic community that is going to be extremely rigorously trying to tear this apart.

I would scrap all of that and go with this. No, this is very nice. I like it today. Well, let's get, I mean, seriously, I mean, this is going to drive me insane. Well, I see this is what I wanted to show you this.

Well, let's, let's get you crowdfunded the money to, so that you can get this level of quality on the actual coffee. The actual coffee, the bits of structure. What's that? Oh, let's get you better. Let's get you better, but even this would be, because I do think there's an issue if you're like, you know, all the validation looks like that.

“And then, you know, you're reading on the coffee pyramid looks like the way you should.”

And then it's like, we have to, we're basically taking your word for it, not my, all my soft signaling is like your legit.

Well, like, that's me, I'm one person, and like, you know, I also would love for there to be like an energy grid under the pyramid. So I think we need this level on, you know, the actual coffee. So it, it, it will be done. Uh-huh. It will be done.

Okay, amazing. Seeing. No, we, if we work in the right procedure, we will establish a foundation. And a multi that we will install the computers. And maybe we will do something better, also better than this.

And hopefully today, I wanted to give you some feedback as a friend for ways that you can improve the presentation to the academic community. Because the questions that I have are the reasons that they have immediately rejected all of the data.

Because there's a lot of questions.

But if you lead with this, there can be less objections to the data. This, I thought, was spectacular.

“When I saw this in Malta, this really caught my attention.”

And it bothered me that you went from this, which is transparent like a crystal. I think this is fantastic. The, the scan, the scan of this structure here, you can even see it here from far away. You can see the triangular, the transverse tunnel. You can see the mountain.

And you can see the inside of the laboratory. I, I, I,fully, bow, I love this. Yes. This is the best proof of concept that you have access to a technology that can scan inside structures. But then you go from this to this.

And I was like, what is going on here? There's, there's such a huge difference between quality A and quality B that it takes away from the credibility of this. And it's not an efficient proof of concept. I know I agree with your, on what you are saying about the results. You, we can see, we can see that thought about the results.

So I would love to see, yeah, do it with the new thing. Because yeah, then I would love to see anything. It's so easy to read for a lay person that I do think it would just help you your cause.

And I, I'll, I'll, I'll defend you here and say the fact that unless you are fabricating that first image,

you're, if you're using start-op or tomography to Jeffrey's point to reconstruct the Grand Sassal Laboratory in that image on that we saw on the left. Yeah, here. That is a total proof of concept for the actual like technique. That's amazing. But that's, that's my point.

“And then, and then, and then you need to do that for it.”

Yeah, the thing that's going viral that everybody cares about. Yeah, so this was very good. And that's why I wanted to show this. And that's why. And do you see also the facility here, is that?

Yeah, yeah. Yeah, we can see the facility here, the triangular, and this is where the intifuraminate. And all the phenomena that is fantast. Yes. Yes.

Okay. So in that phenomenon that is fantast. Another caveat on testing modern structures as proof of concept. These are operating systems. There's electricity.

There's moving components. There's people. You know, they didn't turn the lab off. That was for him to scan this. So there are inherent vibrations in a modern operating facility that are producing more readily readable signatures in an ancient structure.

There are no moving parts. The great pyramid is chambers. That's it. There's no ventilators. There's no electricity.

There's no moving parts. No. The only issue with the proof of concept using modern facilities is there are actual active vibrations.

Yes, but you have one point. That's it. Yeah, right. Right. The height of the mountain is way bigger than a pyramid.

That's fair point. And I do think that should be addressed. I think it's at the margins compared to the larger point, which is that this technique looks funny. I can eat looks fundamentally different.

“And yeah, I think, Felipe, you should definitely do the structures underneath the copper pyramid,”

but with this technique that you're showing here. And it's really important for these, you know, you're giving fodder to the skeptics, you know, if you, if you don't do this.

So we always say when you present something new, put your best foot forward.

Because it helps to eliminate objections. But I can see your pride in this. Yes. And I felt the same way about it. I was like, okay, this is this is cool.

When I saw this, I was like, he's really possibly onto something for sure. But then we again moved on to the rest of the presentation. We're showing the new scans of the copper pyramid. So here's another one that's another proof of concept of the Mosul dam. And there are some turbines, two different types of turbines.

There's a Kaplan turbine and another circular turbine like this. Yeah. So this was another proof of concept where they scanned the Mosul dam. But that's using the like raw data that looks like the raw data. The secondary.

The inferior. Technology.

“Which, which I think is, that's a good proof of concept then.”

Yes, but I have to criticize this.

Okay, in the context of unscent mechanics. In this case, the two beings are in movement and they through. That was going to be my point, is that these are mechanical moving parts. So of course, there's going to be a real concept, yes. Yeah, but it's a proof of concept, not applicable in mechanics.

Because there in mechanics, it's you need a lot of precision at all. And it's a method of sensitivity. And when you, what's the word? Megalith extract method. Because these are operating, moving, mechanical components.

The dam is working. Right. So he's gaining a piece of machine. Yeah, but it's okay.

So it's to play devil's advocate.

If you go one side back, like go one again. Like that looks like decent. I can't read, you know, sorry. So this is. So this is all configuration.

Right. Right. Like that looks like decent to me. That looks like it. So let me show here what.

So this is the configuration of the Kaplan turbine. And then this is the configuration of the spiral turbine. And what we have here is the Kaplan turbine. And this is the Francis spiral turbine. So it's.

“So my only question that would help validate this is, do you have an engineering blueprint?”

And of the Mosul dam that shows that there are these two different types of turbines. So you're not possible to retrieve it. That was my question is like, this is great. And you're showing two different types of turbines right next to each other. But it's sufficient to say that this is Francis and the Kaplan.

It's sufficient to Jeffrey. You can't have the effective design of the turbine. You say the turbine area. Sure. Because that's that's a valid point.

Very, very difficult to have it. Sure. But I was just my question is, do you have access to an engineering blueprint that can corroborate this configuration within the dam? That would just, um, enhance. Yeah, no, it's okay.

Yeah, I was just curious if you did because that would be even more evidence to show. Here is just like we did with the diagrams of the great pyramid. You could take the engineering blueprint. On something very simple to obtain because they are mechanically moving. Right.

And also the thickness is very low. In the dam. Yeah, this is not, uh, I think a 300 meter something like that. He's very. So the three of us immediately latched onto my entire point of that discussion is that there's qualitatively vastly superior technology being used for the proof of concepts.

The proof of concepts are modern, mechanically operating structures that are very different to imaging, mechanistic structures where there are no moving mechanical points. So again, I was just when I saw this during this slightly differently, which is, yeah.

The problem is in Felipe's head.

“It might actually not be qualitatively better.”

It just looks, it's, it's qualitatively more digestible, translatable, to any average person because you get like a better image for a layman to read. For all I know, if I'm inside his head, he's thinking, I am just as confident. Looking at those like what look like thermal imaging approaches. So this is the final proof of concept.

The goddard tunnel. Another tunnel. Again, this is the tunnel. This is the mountain range here. So you can see the mountain range here and the tunnel runs through here.

And there's another one that goes underground here. What is goddard tunnel? So it's just the tunnel for the mountain and Switzerland. That's cool. Yeah.

Yeah. Yeah. Yeah. Yeah. I think two kilometers under there.

Right. So interesting.

Again, in using the nomenclature from the first paper, transparent like a crystal,

this is what I would want to see. Yeah. It's beautiful. And again, it was just frustrating for me when I was going through this. So if you can, if you can come to the table with something like that,

“I think that would silence a lot of the haters.”

So debunking is an attempt to disprove. So when somebody is a debunker, they're trying to say, SAR technology is fake because of XYZ reasons. So that's debunking. And there's a lot of people that have attempted to debunk this to say it's fake.

And then there's the other side where people absolutely love it and they really believe it. So that's what we mean by debunking. And again, that's not what I'm here to do. Clearly, I'm interested and I'm fascinated by this. And I have a vested interest in knowing the truth.

Yeah. We should come with a new term, which is stress testing. It's not debunking.

It's, you know, if there is a there there, then you try it under all conditions.

Constructively stress testing in a positive way, which I think we're doing here. Yeah. So again, this is another image of the tunnel going through here. Wow. Wow.

Again, the reason I showed these is because yeah, this is this is supposed to be the proof of concept for the new scanning. But it looks so much different that there's a contradiction between the quality of this. And then what is shown. I know you understand it. Yeah.

Of course, right? But all of us want to see this, especially the people that don't believe in this technology. Yeah. You have to go back and do it again. You do, you do.

You do. And seriously, come up with a number and like I will rally Jeffrey will rally. Everybody with a platform will rally to just crowd fund you the money. Let's try it. We'll get you will get you the money somehow.

I mean, it's so important with it. Yeah. Because it's on you, though, to come up with a number. Come with a figure and we'll get, you know, it's it's really important. So this is the rest of the presentation is just going into their presentation.

During Malta when they're showing the new scans from inside the copper pyramid. You know, we already talked about the azimuth compression. This is the scan of the Osirah shaft. Okay. So this was another proof of concept scanning a known structure to show that their technology is able to pick up the configuration that we absolutely know is there.

But here we're back to the kind of lower res. Correct. Yeah. Yeah. So that that is, you know, good, a good sign of validation.

Yeah. So there's been some issues proposed with this. Okay. So this is from a channel called Nightscarab who did measurements that show that the signatures are off. And that the measurements don't exactly match the known configuration.

What he said. What was your by, because any measurement is affected by errors and aberration.

“You remember that you are watching things that is propagating in matter.”

So. So you're just saying this is within the margin of error. The best of what we can derive today. Well, why share it. Well, why do we have to?

Of course. God. But what humans are so. Yeah. How do you measure measure that we have error?

How to add curiosity. What is the margin of error? Like. Which kind of. So he was saying that the measurement.

That's like the four meters. Yeah. Which considering you're measuring from space. Yeah. Using vibrations from underground.

We have measured. Is it. Is it relative? You are. Tell me.

You made for me. Does anybody argue that the structure overall.

So the only. Right.

So the only sort of caveat to this scan is this structure over here.

Okay. So I actually went out to the geese plateau after the multi conference as soon as we got back. We live in Egypt. So I can go to the geese plateau anytime. I think you found something.

Yeah.

“That's why I was asking you about the footprint.”

The square meter imaging footprint. The area of the footprint. That's not the footprint. It's huge. Right.

Five kilometers. Five kilometers. By five kilometers is a huge footprint. Yeah. And in the vicinity of the Osiris shaft.

So it's located along the causeway.

Right. This connector pathway. Mm. That leaves from the coffee eastern temple. Down to the valley temple in Sphinx.

Mm. And the Osiris shaft is located below the causeway. Mm. Mm. So directly on top of the causeway.

Maybe 10 to 15 feet. Away from the Osiris shaft opening is another rectangular opening in the causeway. Mm. That is indicative of another bedrock shaft. There's these big vertical bedrock shafts.

All along the causeway adjacent to the central pyramid. They're just huge shafts that go down into the bedrock. There is an opening here. Mm. At the top of the causeway that goes down into something.

But like all of these bedrock shafts. They're completely filled in. It's filled in with sand and debris. Mm. To breathe.

Yeah. And then now we show the some shot of those. Yeah. Later later in the presentation. Yeah.

There's also another structure to the south of the causeway that appears to go underground. That's again why I was asking about the footprint of the area. Is he measuring any of these? Who? Philippo in these scans.

Oh, in terms of the measurements? Yeah. I don't know. Okay. Because I would be interesting if like you knew of something specific around the Osiris

shaft that he picked up.

“Well, though that's what I'm saying is we went out there and we found two different structures.”

Yeah. In the vicinity of the Osiris shaft that could be creating this signature. Okay. Interesting. So we actually went out my wife and I shot out to my wife.

Alexa from Archio Alchemy that's been sitting over there patiently. Yeah. Watching this whole thing go down and this is why we need to go out together. You me in Normando need to go to Giza Plateau and look at this stuff. So that I'm so I know the Giza Plateau like the back of my hand.

Yeah. And anytime we want to look at a structure. I know where there's anomalies and things like that all over the Giza Plateau. That can help us get closer to the truth of what we're looking at here. So I did find some structures that are in the vicinity of the footprint of the scan area

that could be producing this signature here on the left. So here on the right we have level one, level two, and level three. But then there's also these other horizontal signatures that go all the way down. This one, this one, you know, all of these different horizontal signatures. We, hopefully, but you don't have a conclusive explanation for what's producing this section here.

I want to ask you a question. Yes.

“Do you know very well the structure of the Osiris shaft?”

Yep. The last floor where you have this swimming pool. Here. Yes. There are some studies, some research that attend to go and see what there is below the water level.

Have they excavated below the water level? Or, or I don't know, they put the camera to see what to order. No, no. As far as I know, the only investigation into anomalies inside the Osiris shaft is some connecting tunnels. Okay.

There are some bedrock tunnels that connect into the Osiris shaft. During the original excavations, they did pump all of the water out. Oh, they did, they did. Oh, they did. Yeah, they did a pump, and they pumped, maybe not all of it, but they pumped the water out of the Osiris shaft.

Yes. And so the water level was going down. Correct. And then, but if they don't pump anymore, it comes right back up. How much time?

Oh, I don't know, but so this was done by Zahihawas and team.

They pumped all the water out so that they could lift the lid off of the container on the third level.

Okay. So there's a container on the third level that's surrounded by four pillars. It's like a limestone island in the middle of this water with this big container.

And they're going to lift the lid off of this container and find

“Veronica burial or Osiris's body in here.”

Of course, absolutely nothing was discovered when they lifted the lid of this thing. Wow. So they did pump the water out to do this excavation. And then off. After the excavation is done, the water level came right back up.

Because as I was saying, there's an independent aquifer directly below the structure here. And the third level of the Osiris shaft taps into the water level in this independent aquifer. So everything that we're showing here is underwater. So nobody knows how deep is the water? No.

Oh my god. Yeah.

There's never been a hydrological investigation of the depth of the water below the Osiris shaft.

Can I ask a question? Yeah. How big the sub structures under the copper pyramid that you feel like you're measuring these columns. Hollow tubular structures. What is this circumference?

Yes.

“I don't remember if we have indicated this about approximately 20 meters.”

Each one. The diameter. But each the diameter of each. Sorry, now yes. So not circumference.

What is the diameter? The diameter approximately 20 meters. Of each tube. Yes. And they are this and they are about five meters.

So each tube is 60 feet. 20 meters. Yeah. I mean that's to me. That makes me higher conviction.

I have to say because if you're not measuring the Queen's chamber because of some granite, you know, it's too small or whatever. I guess the granite actually helps as far as. Yeah. So if you're not measuring the Queen's chamber because it's too small,

you know, and then you have this possible, you know, air margin here, displayed in the Osiris shaft. That's four meters. Yeah. I do think if you have a 20 meter single column and then that's repeating. Four four plus four eight times.

“That somehow feels like the only thing if I were in his position,”

I could say pretty confidently. You know, and again, we have to get into like can you penetrate below. So let's get to that. Let's get to that down. Because I have a pressing question.

Yeah. I'd like for you to answer. Yeah. So every everyone's seen. So this is some of the raw data.

Of their scan of the third pyramid, the men call Rob pyramid.

Showing these vertical signatures below the men call Rob pyramid. Same thing here. These are more of the vertical signatures of these structures below the ground. Hmm. Same thing here, pyramid of men.

Yeah. There's this big signature here of a possible vertical something below the structure. Here is the model that they presented at the end of the Malta conference, showing the entire Giza plateau. And these underground vertical features connected into these cube features.

The whole model here. So this gets into the question of the water level. Some of the tubular structures are under the spanks as well. You mentioned that we have a measure that I don't know. We have this light here.

Yes, but the answer is yes.

So here on the left in the data. Yeah. You said that when the image tapers off here. I'm just explaining to the people. Yeah.

So on the data here in these vertical columns where the data starts to taper off is an indication of the water level. Okay. Okay. And that's reflected in the model. Okay.

The level but is not the water level is not present abruptly. Do this experiment. Take a dry sponge. Dick a hole on the dry sponge. So you have the dry sponge.

And the hole on the dry sponge. Okay. You put the dry sponge here. Or into a container. And you put water.

You will see that the water goes into the sponge. And for gravity, the water will stabilize somewhere. But the layer that represents the dry part of the sponge. And the more wet part of this sponge is not abrupt. But you have the transition.

Yeah. Okay.

“So the permeation of the water is not linear.”

Yeah.

It depends on the absorption of the material.

Right. Okay. Yes. So I don't know. That is a strange effect that as we discussed before,

I can't give you an exact answer. Okay. That phenomena. Because I don't know. Okay.

And that was my question is the water level in the model. Yeah. And in the data is approximately a kilometer down. But this is not true. Correct.

So that's what that level is. That's the next point. Yeah. Is that the actual water level. Yeah.

Below the water table of the geese plateau is shown to be approximately 50 meters. 50 meters. Below the plateau. Correct. Is it 15 or 50?

So it's 15 meters above sea level. 50 meters below the plateau. Got it. Right. So this is courtesy of ancient architects.

And this is the first time I've seen this.

So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this.

So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this.

So this is the first time I've seen this. So this is the first time I've seen this. So this is the first time I've seen this. And see something related to the water level. Okay.

Okay. And it's not that, but it's that one. So the tapering of the image here is not because of the water level. Maybe effectively if you have an effective physical cutoff of something. And then they continue with another kind of structure.

So this is I think this isn't all. If you ask me why is it like that.

“Yeah, you have to go and see effectively.”

Sure.

The measurements on goals.

Right. So so what you're saying is that this is supposed to be a solid object. Yes. Going more than a kilometer down and connecting into the large cues. How ever the signature of this solid object.

Yes. Change is significantly significantly. The explanation you had given in Malta was because that the water level was here. But we both agree that this is not the water level that's causing the. Maybe is.

Here is that is that. Yeah, this blue line. Yeah. Right. So if this is a solid object.

What is creating the lack of signature here? I don't know. Is the is does the lack of signature start a kilometer down or how many. How many meters down is that kind of cut off where it starts to go from. Ah, approximately 600.

Okay. So you I guess what then if I was you. Maybe there is something that I was. But I can disclose it now. There is something.

I can't disclose it now. Interesting. Okay. But um, okay.

“Is there reason you're saying 600 meters.”

But like why did you say it goes a kilometer deep? Yes. Look how nice it is. Yeah. You can see that cut off.

I do see that it maintain the different different senses. You see the same cut off. Yeah. Yeah. Yeah.

But that's what I'm wondering. Why why why are we saying a kilometer. Even sort of 600 meters deep. I don't. Well, that was just my estimate.

So there was this maybe I am I am seeing something wrong. Yeah. The vertical numbers who can read it, you can read it. So again, here. Okay.

So that they're getting a cut off. So this is. Yeah. So this is. Yeah.

So this is 600 meters here. So this is where the image itself. And whatever this is, the signature of this starts to cut off. Okay. Here.

But that there it looks like it cuts off less and does extend. Yeah, it depends on the close to a kilometer. It depends on the processing of the signal that we are doing. It depends. Okay.

Hundreds of meters. You would say confidently. But and then you don't know what to attribute. No. To Jeffries point that sort of awkward gradient.

Because now we are, we agree together that the water level is higher. Sure. And and you have a cut off of the signal. Yeah. And all of all of these vertical signatures show a tapering of the signature.

Mm-hmm. Yeah. So that's that's an anomaly of these vertical signatures that we don't have a good explanation for if this is a solid object.

It's not. We've agreed.

It's not a result of the water table.

“There's there's something else happening with the signature where it's possibly no longer able to detect that deep.”

What do you have an alternative hypothesis? Or so again, at this stage, I'm just asking questions. Yep. Because we are focusing the attention on something that it is normal to have that kind of result. Do you see an attenuation of signal?

No. No. Okay. Only here. So there is something idiosyncratic unique here going on.

Okay. Yeah. So we can see it here in this polarized tomographic image. Yes. I will say the polarized tomographic image even the raw tomographic image.

It's very nice. Those look very tubular and like, you know, something here. It has that same effect. Oh yeah. The deeper it goes.

Even when you get that awkward kind of gradient cut off, like it still looks like it's maintaining some sort of structure.

Look at that. Look at that. This. Up at the top. Yeah.

“Okay. So you hopefully, but would you admit now that you were.”

You didn't know about exactly where the water level was. No. No. Okay. You can't.

We can make mistakes. Sure. Sure. Sure. Okay.

Properly. But no.

Because the water level is no way.

Sure. It's much. Yeah. Much. Can I ask you here?

Can I ask you a dumb question? Yes. Because a lot of this is prefaced on this idea of these structures being man made in artificial. No. No.

Oh my god. You don't know. No. No. We don't know.

We don't know.

“But there's a lot of the speculation around them is around me.”

But if it's an artificial structure, how would you build something that penetrates that deeply into the water table? You asked me. Yeah. Okay.

You're asking me this. Yeah. Did I be speculated about that? I mean, you have to have thought of it. It is something that I discuss about this issue with Corrado.

Okay. And we agreed that it is something that it is man made. Okay. So somebody built those things then. It can be that once the pyramids were built, so from the top, maybe they did get hold

they did get hold. On the bottom, but they are not simply holes. They are built. How can I say that? But if they're 20 meters in diameter and they're going in kilometer.

Yes. Then I'm going with aliens. I got it. How do we explain that? That's really nice.

I don't want to feel hard to do explain them. It's really good to put the pyramids themselves, which are really hard to explain. Yeah. The problem, though, is that's where this disintegrates from an academic conversation, regarding the actual data to the leap of speculation into alien constructions, which is why

the academic community has outright rejected this whole thing. Because there's no physical way that these could possibly have been built. Period. There's no way. Yeah, but you would say the same thing about the pyramid.

We don't understand, well, I agree with you there. We still don't understand the mechanisms of operation. Yeah. But it's also a completely different conversation building something above ground when we're talking about how could you even excavate into the bedrock to be able to build something.

It's the logistics of the engineering. So we were talking kind of off-camera. How the civilization that built the pyramids and associated structures were absolutely able to build components that tap into the existing water level. The Osirion is excavated from the bedrock and constructed to tap directly into the water table below the structure.

The configuration of the temple structure is precisely designed so that it hits that water table. Again, an independent aquifer that's not connected to the Nile River. Because the water level inside the Osirion is the same as it was in the original design. The island and the reservoir surrounding the island. Same thing with the Osiria shaft.

They were capable of building structures that go down to the water level and tap into the water level. Now we're talking about going a kilometer below the water level. To excavate, the whole thing is filled with water. If they are real, I have a difficult time accepting that there is such a thing that is a man-made structure that goes a kilometer deep.

The Tethis Sea, are you familiar with the formation of the Giza Plateau?

“It used to be the bottom of an ocean, millions of years ago.”

There is evidence of hydrothermal mineral deposits on the Giza Plateau. So hydrothermal vents are vertical structures that can go kilometers deep into the bedrock.

So we can talk about this here in just a second.

I just want to walk through one more piece of data. Can I ask one more question? Because it is very related to the logistics of being able to build something that goes penetrates a kilometer deep. And this is a flint double point. Is it too hot down there?

Oh, yes, remember? Yes, we have to speak about this. It is very simple to give you an answer. The first thing is it is normal that people could be there. Maybe you can build this structure.

People has to go down down, yes, that's true.

“But there are a lot of methods to cool down high temperature.”

The first one is this. The enormous quantity of shafts that are present on the surface of the Giza Plateau. The tar fillet with debris. And one of those, I show them in the presentation. I don't know, you extrapolate.

I have any idea. There are a lot of shafts. And the shafts are, who can have the function of giving a, giving light. And so cooling the underground structures that are below.

So the answer is, okay, we want to build something like that.

Yes, let's begin building this thing, this mega, mega structure here by digging and building the cooling shafts. Okay, we start from the shafts. Then once we are downstairs there, we intercept maybe natural or exontal cavities. Okay, and so we build and we start to build. In some way, they did it.

In some way, some body did this thing.

“So the vertical shafts that you find principally between the, the, the this things and the cover pyramid.”

There are three four or five shafts that are blocked by debris. And those facilities, we, we are thinking to submit a proposal to the Egyptian government. Because those shafts can be the entrance of the underground facility. Without doing any kind of drill, we don't like to drill. Yeah, we, we only have to clean.

Amazing. We only have to clean enough. Well, I hope you get that approval. I guess another question I would have is, are all of the tubular structures a kilometer deep. Yeah.

One's under the sphinx as well. They all are hundreds of meters deep. I have the, the, the, the, this light. Yes, because head to transport fresh air and light. And light into the milo, the, the, the structure of the tunnel.

Mm-hmm. Yes. And I tell you. Eh, those attack 47 here. Well, yes.

Yes. So this is, this is the causeway here. Yes. Right. So we're talking about the Osiris shaft being located on the causeway.

Yeah. And these bedrock vertical shafts are adjacent to the causeway on both sides. So there's some over here on this side and some on the southern side. They go down vertically into the bedrock to an unknown depth.

They've never been fully excavated.

They were filled with debris and sand. Yeah. Now also trash accumulation for, you know, at last decades and all all sorts of stuff. Just completely filled in with junk.

Yeah. Oh, the thai is. In there. And there is, there is a rubbish. And so there's evidence.

Even just looking down into these vertical pits. There's evidence of transverse horizontal shaft. So we did that.

Yeah. Yeah. They showed that.

“And so these shafts go down vertically into the bedrock.”

And then there's horizontal transverse connecting shafts that link these things. So in, in my opinion, that's part of the industrial infrastructure of the Giza plateau. No.

I have a slide on that here in just a second.

So the other pressing question for leapo. I know you know this was coming. And this is kind of the last question I have for you. So this is the data of the scan of the cofer up pyramid. And the big objection is the fact that the known chambers

are not shown on the data.

“So this is above the Bellzoni chamber here.”

And the known chambers should be somewhere down here. Yes.

So this is, this is the configuration of the cofer pyramid.

The known internal chambers. And all of these areas that are marked with hash marks here are bedrock excavated chambers. So they're carved directly from the bedrock of the Giza plateau. And this was the statement. I don't know if you wrote this or if we're our Mondo wrote this.

But so it states here that the detection issues related to the known structures inside the cofer pyramid. The satellite data only reveals the entrance to sending corridor in the roof. This is because the structures are embedded in a limestone slab that absorbs the signal.

So this is the bedrock of the Giza plateau from which these chambers are excavated.

This is no deeper than 15 meters into the bedrock. And the radar signal is absorbed in that limestone bedrock. According to the quote from your team.

“Again, I don't think I think for Ali Armando wrote this.”

I don't know if you wrote this. But this was published on the Facebook page. So can you clarify why the signal is being absorbed in this bedrock? And then how if it's absorbed in 15 meters of bedrock here? How can it possibly scan any deeper?

Yes, the answer is this. Let's start from this matter of fact. We are not detecting the bell zone. We are not detecting the narrow corridors. Yes, the narrow corridors because in that tomography client that we are using, they are not present. Okay, so now we are dealing this problem.

Being aware that sometimes targets are not the dead. In this case, we think that exactly what that message was. We wrote that message because the most part of the very threshold energy in that case were attenuated a lot of the signal. So we would not be able to retrieve the bell zone's chamber and also other corridors because no energy. We fade the detection of those known chambers.

Okay, but the next logical question is, if you're saying that the signal is getting absorbed in a tenuade is because of limestone and that's just 15 meters deep, then while you are detecting those tomorrows. It is a question of measurements. In those measurements, we were not able to retrieve those structures. But considering the particular configuration of those huge tubes descending,

approximately for more than 1 kilometers, having a diameter of approximately 20 meters. We can see that they are very big. Okay, so you are comparing a very small object and huge structures. I don't think that this is a point of comparison, good comparison point because you are comparing huge structures with something very small. So in this case, the very small things are not detected.

Okay, because the big rock, we don't have the vibration, we don't have the vibration, but we have the vibrations to detect the huge structure.

“And we have detected the things very clear.”

That's the answer. It is obvious that this work, we have to continue to do this work. So we have to continue to scan the coffee pyramid. And so I am sure that we will find results that show us also the bits of each other. You got to bring the grand sassau improved methodology and do it again.

We need it. Yes, yes. This is critical because again, to say that the energy and the micro vibrations are absorbed in bedrock 15 meters deep.

The deeper you go, the more bedrock there is and the more bedrock there is to prevent these vibrations from being detected. So this is it's a big issue and this is the biggest objection that's been proposed in the community is this bedrock excavated chamber. There is also another thing that I have to explain you.

“Why there are things that are very visible and things that are difficult to be detected.”

It is a question of measurements. Sometimes things are invisible, sometimes things are very visible, are very bright. We found that if things are anchored on the surface of the earth, anchored.

So they start from the surface like the pyramid, like that, like we see it very, very clear.

Because the evanescent waves are very energetically on the boundary. So on the surface of the earth. In that case the shafts are directly connected to the surface of the earth. So why the surface vibrates? We can detect the vibrations. In that case, the bell zone is something that is not directly connected.

It's there, yes. So we need to scan it more and more and more.

“Have you tried doing these scans on any other limestone bedrock?”

Yes, we have the shafts. The shafts, but also the bacteria. How deep are those? So we don't know how deep they go. He shows that they're going down hundreds of meters.

Yes, according to the scans. And those are anchored on the surface of the earth. So the opening of the shaft is actually on the surface of the earth. So you can look down directly into the shaft and see that it goes down into the bedrock. So that providing me of a good point.

So another thing we need is control samples. So for example, you provided really good proof of concept in the scanning of the tunnels and the physics laboratory. Those are fantastic. Another thing that we don't have in the studies are control samples. So for example, I have mines.

No, no, no, so scan a structure just like a hill where there is nothing there. Okay, yeah, to show us a control sample comparison. Yeah, so that people can see. So this hill, we're going to scan the hill and show what is inside of a hill where we know there's nothing inside. And we know there's no big vertical.

So this has been another big criticism is that there's no control sample comparison. So this is also important.

In a scientific study, you always want to have a control sample so that you can compare the control sample to the test sample.

Can I just ask because this touches on what you're asking. Yeah. In the context, these commercial contexts where you're under NDA, you don't need to talk about any of the specifics. But I would just ask you how many instances are there of these because it's not a perfect control. You know, Jeff is sort of describing here, but it is somewhat of a control where you're looking for like minerals and other things.

And we can kind of pattern match like regular land versus these megalithic archaeological sites.

So do you know, like how many times have you done this roughly? If you had to estimate just the method. Yeah. Scanning, like on anything like what is it?

“Is it between a hundred and a thousand between a thousand and ten thousand?”

How many sites? Yeah. How many different sites? Yeah, that's a better question. No, not a lot about 10.

About 10. Okay. Got it. Yeah. There's sufficient to show things where our present, let's see, let's say mines.

So tunnels inside tunnels. Yeah. And we're both assuming that are more control that we're nothing is present. And we're so you have difference. Yeah.

And we're assuming you've never seen anything like this.

Anything like these column like 20 meter, you know, diameter are present. Because you see signals that are devastating. You see those columns, what are those? Yeah. Other times where they've missed structures that are more suspended and not tied to the foundational

better idea. Are there other examples of that? Yeah. I have. Okay.

It's exciting. It's exciting. It's exciting.

“That's if these things are, I'm correct on this.”

So face of death is better. Yeah. No. I mean, it's exciting. Because it's a, I, you know, the way I net out.

It's like, you have, you got a lot of work to do. You know, but I don't think, I don't think anything's conclusive in either direction. I think you got to just keep going. It's something. It's like, if it's something.

Yeah, that's, that's kind of my, my conclusion. Yeah. So all the question and thank you for your question. Of course. Yeah.

Yeah. I care about this. I just want to try to be clearly the best answer. Yeah. So in the position that I am now.

I mean, I am a bit tired because of the jet lag. I understand. And maybe this last issue. This is an issue that of their bell zone. Yeah.

I am thinking always of the bell zone.

Yes. We will solve it. We will solve it. So it has to be investigated. Yeah.

We solve also this issue. So this issue is why we are not watching the bell zone. At the moment, what you read is the best answer that we can give you. Right. Right.

Yeah. But we, I will ensure you, I assure you that more scants will be done on the cover. In order to find something to detect bell zone. Okay. So I know you have a big day tomorrow.

Yeah. And I'll wrap this up quickly just so we can get through this. And I know, you know, we both traveled yesterday. And I'll just kind of cover this briefly. So we're talking about Lewis Alvarez.

Yeah. I see that. Yeah. Just one thing about the vertical shafts. Yes.

The vertical shafts are very important. I don't know why nobody went there to escape. To escape it to clean. I'm sorry. The bedrock shafts.

Yeah. Why? So there's also no good archaeological explanation for what those shafts are for. Okay. From from the Veronica burial perspective.

Okay. The archaeology and Egyptology does not have a good explanation for those vertical bedrock shafts adjacent to the walls with these. Some of them are burials where they've found smaller ones and they've found bodies down inside of these because there have been a plethora of burials discovered on the Guisa Plateau,

not in the pyramids, but in structures adjacent to the pyramids structures. So they have found intrusive burials in some of these shafts. But there's not a good consensus for why these things are there.

So they've never excavated.

They've made it off the vertical, the original structure. Sure.

“That's another question is which came first and are those bedrock shafts an original part?”

Or are they part of the dinastic era construction? So that's always a problem when looking at the layers of building and construction in Egypt. You observe from the internal those shafts. And I think that you believe me that are made with square constructions. One on each other.

Like that. That goes down. Going down into the bedrock. Yes. You know that for me the shafts are waterproof.

It means that the water level, if you can see the water level, that is outside the shafts.

The water is not able to go inside the shafts.

“So if we clean the shafts, we always find air not water.”

Also we will go below a lot. Okay. I don't know if you agree with my idea. Yes, because that also fits with my hypothesis on the function of those systems. Yes. So that would get us into another hour long discussion on.

So you and I should sit down and talk about the function of everything sometime. And so the project propose that we are as submitted. We are thinking to submit these weeks. We are involved in the University of Ferrari. We are involved in other academic organizations.

Yeah. I am out of this project because it's better that I will remain out. And our intention is to use robots. Yeah.

Not humans because it's dangerous to go there.

Yeah. To use robots and clean the shafts. Yeah. I don't know. They should do that anyway.

Yes. Because of all the trash. Yes.

“Let's say we can go below one, two, five meters a day.”

Okay. Yeah. We just begin to work and every day we go. Yeah. Absolutely.

So this next thing I mentioned that there was a move on scanning of the central pyramid.

Lewis Alvarez, I knew I recognized the name. So he was a part of this. They scanned the Bellzoni chamber and the area above the Bellzoni chamber. They didn't find anything. So they scanned approximately 19% of the total volume.

In an area here that was a cone half angle of 35 degrees from the vertical. So is this cone that they scanned above the Bellzoni chamber. Okay. And they didn't find anything. These are also supposedly located directly above the Bellzoni chamber.

And we've already kind of had a back and forth discussion about which is the most viable

“detection method, move on scanning or SAR scanning.”

Move on scanning says there's nothing. SAR is now detecting something. Yeah. So again, we don't have to get into a labor discussion about, you know, who's right and who's wrong?

No. Yeah. Maybe in this case, more, more, more. The old version of more because that's a paper. From the 70s.

Yes. Yes. And maybe in that and I am not criticizing more because they are fantastic. Maybe in that time, they are detecting nothing on a 35% of aperture. Correct.

Do you have an explanation, though, for why they didn't detect anything above the Bellzoni chamber? I tell you why. I tell you why. Because the S now we know that the most scanning are detecting things.

That is the sum of everything you are watching on the top is the sum, like that. And so it is, it is difficult for me to see things. Because if I see it, it is when you are watching the sum of everything. You saw 50 years later that paper. So now the modern modern moon detectives.

They are, it is highly probability that they are saying that there is a big void on the ground gallery, which is parallel, but in my best European, you are watching the top and bottom and the roof and the floor of the big gallery or the ground gallery. Like that. Like that.

Watching this and that. It means that the technique fails sometimes. And it failed, maybe it failed also 50 years ago, in the period of when the paper was written, using old detectors, tunnels, there is something that happened and they are detecting nothing.

And I don't know that any recent moon scanning has been done inside the central pyramid. So they need to go back and do it again. Yeah. They have to do it again. Why do they do?

They did not install the detectors inside the building zone. Right. No? Yeah. It's a good question.

So just kind of a final note. That was the end of my question for the SAR project. And I think you did a really, really good job today in answering to the best of your

Absolutely. Yeah. Sure. Great.

So the final note here is just a mention of these hydrothermal veins and iron ore deposit.

So here I'm standing in the middle. This photo, look how nice it is, thank you, there you can find the floor of the, of the Jesus Plateau, where the pyramid's sound on. Yes. So this is bedrock here.

Yeah. But this is my stone. This is my stone. This part here is man-made. This part here.

This is bedrock. Lime stone bedrock that's permeated with iron ore deposits, metal ore minerals, which is directly applicable to the utilization of your technology for finding the metal ore mineral deposits.

“So this is, this is where these two things have a synergy that I think we need to look”

at further. So here I'm down inside of one of these quote unquote boat pits. And this is an image of a tube, a metal tube. Metal tube. Correct.

It's an iron. I saw it. It's a metal tube. It's an iron ore vein.

Yes, so these are, you've never seen this before.

That's wild. So this is about a foot and a half long and a foot deep and it's a tube of iron ore. And these veins run all through the guise of plateau. Whoa. Yeah.

They are hydrothermal, metal ore mineral deposits that are embedded in the limestone bedrock of the guise of plateau.

“So these are the results of hydrothermal vent systems.”

See floor hydrothermal vents that push these metal minerals up from the earth and then they deposit them on the surface and inside the layers of the bedrock. That's how these things form. So here in red, I have depicted these vertical bedrock shafts adjacent to the causeway and the interconnecting transverse shafts.

So you can actually look down in this, you know, about 20 meters down. And you can see the transverse connecting shafts that aren't that deep. Here we have what Felipe's team is showing, which could be the remnants of some of these hydrothermal mineral vents, these hydrothermal vents coming out from the bedrock with the magma chamber.

So again, there's magma down here, which could be these cubic type formations, huge geological formations that are known to go down kilometers into the bedrock. So what do you think about that theory? It is a theory. I accept it, absolutely.

Like I accept very well the theory of a Christopher Dan and the theory of juffering. Yeah.

“And we have to collaborate all and see effectively what there is and which is the effective”

purpose of the geysapplatore. Exactly. It can be not only mine, all yours, or also the sum. Of course, multiple purpose. Sure.

No? Yeah.

That understanding, the impetus for choosing geysa is critical in understanding the overall

function of the geysapplatore because we have hydrothermal vents. We have metal or mineral deposits. And in this paper, they've also shown that there is a carst cave and tunnel system that is the source of hydrogen sulfide gas coming up from the geysapplatore. So there's caves and tunnels all throughout the geysapplatore, natural that you can also

see produce these vertical features located directly below the geysapplatore. And my hypothesis for the function of the great pyramid is that the hydrogen sulfide gas coming from this subterranean carst cave and tunnel system is the initial reactant in the chemical manufacturing sequence within the great pyramid. So they picked the geysapplatore specifically because of all of these features in the

bedrock, the metal, the hydrothermal vents, all of it works in conjunction with the system above ground. So there is absolutely something below the geysapplatore located directly below the pyramids. What would you do with the hydrogen sulfide? Converted into sulfuric acid.

And what would you do with the sulfuric acid? So sulfuric acid can be used for fertilizer applications, but also specifically for mining and metallurgy. Got it. Because we have a huge supply of metal or directly on the geysapplatore.

So agriculture and mining and metallurgy.

So the samples of the iron or deposits on the geysapplatore also contain gold, silver,

“electrom, precious metals, rare earth elements.”

Everything that you could think of. We'll talk about it. Love it.

I have all the samples of this.

This is the perfect cliffhanger to end on. And also there is also a liquid acid inside the disk. So in the veins. We also found. He's a vulgarites, fossilized lightning in these iron or veins.

We have samples that contain vulgarites, which is evidence of high-voltage electric current distribution through these iron veins. We'll get into it. Oh, wow. Okay.

What a cliffhanger. I think we have to do another. Yeah, we do seriously.

No, but this has been an amazing, Jeffrey, really appreciate your pleasure.

You asked, just really detailed, first-principles questions, but that were very respectful.

“And I think this was just this beautiful exploration in Felipo.”

You know, I can't say enough about how just open you are to fielding these sorts of questions. A lot of people get very precious about their theories and they don't let them be questioned. And you are thinking about these questions that you're clearly not that. You're clearly open to updating your own hypotheses, beliefs. And I think we have a lot of action items here.

“I think maybe the biggest one is getting those thinly sliced, you know, what you did with”

the Grand Sasso, but for, you know, the structure is underneath the copper pyramid, but this was amazing. And I appreciate you both. Thank you. [MUSIC]