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March 26, 2025 - Info Warrior - Jason Bermas
53:03
AI Warfare Is Now Mainstream
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Time Text
We have developed speed, but we have shut ourselves in.
Machinery that gives abundance has left us in want.
We think too much and feel too little.
More than machinery, we need humanity.
We know the air is unfit to breathe and our food is unfit to eat, as if that's the way it's supposed to be.
We know things are bad, worse than bad.
They're crazy.
Silence! The great and powerful Oz knows why you have come.
You've got to say, I'm a human being!
God damn it!
My life has value!
You have meddled with the primal forces of nature!
Don't give yourselves to brutes, men who despise you, enslave you, who regiment your lives, tell you what to do, what to think, or what to feel, who drill you, diet you, treat you like cattle, use you as cannon fodder!
Don't give yourselves to these unnatural men, machine men with machine minds and machine hearts.
Yeah, thank you.
You're beautiful.
I love you.
Yes. You're beautiful.
Thank you.
Ha-ha. It's showtime.
It's time to buckle up for Making Sense of the Madness.
And who loves you and who do you love?
Hey, everybody.
Jason Burmis here.
It is Making Sense of the Madness, and today we are going to go over how we are now entrenched in the outright era of AI warfare on a multitude of levels.
There is certainly the quote-unquote soft levels of cyber security, cyber attacks, but then there's the very real AI drone and robotic warfare that is becoming more and more and more mainstream.
Now, this is a topic that I don't think gets enough play.
This is a topic that spans not just the United States, not just their military industrial complex entities.
In other words, you've got the companies of the world that we talk about, the Lockheeds, the SpaceX's, but then you also have NASA as an institution.
But then, outside of the nation state and NASA, you also have other private institutions, such as Google, that we often talk about.
Now, Google also absorbing a company called Wiz.
Then on top of that...
You look at other companies that have basically been shepherded and funded by NASA out of Israel, by the way, and that's where the whiz is out of, we'll get into that, is you have a multitude, okay, a multitude of allied connections in this new era of AI warfare.
DARPA and several of their programs.
We're going to be talking about Sabre.
We're going to be talking about Red Sea.
I'm going to show you bits and pieces of this quote-unquote new DARPA triage challenge to really show you how much now the battlefield is regularly going to be occupied by more and more Non-human entities.
Okay, and you saw a lot of this stuff during the war on terror, really the war of terror in my opinion, in beta testing.
And you're going to see where it's moved to.
It's kind of funny because, you know, I was watching this video out there and...
There's so much to be played up in the simulation theory or that the world's ended or that we're in the matrix.
And we're actually going to be getting into some of the quantum aspects of artificial intelligence.
And this Maorna 1, this announcement by Microsoft of a new type of quantum chip and processor.
We're definitely going to be going over that watch along.
But... They have moved so far beyond what we were talking about during that period of the quote-unquote matrix, which is supposed to be the peak of society.
And the video I watched just noted that culturally, however, even with the shift of the magic box and all these other things, our physical look has not changed, such as in decades past, at least in the Western world.
Now, don't get me wrong.
A lot of westernization in appearance.
But overall, our trends have pretty much...
I could have been wearing this jacket 25 years ago.
30 years ago, right?
Things kind of stopped in that direction in the 90s.
Let me tell you what didn't.
Technology has pushed forward.
But so much of that technology has now been suppressed that large leaps of this technology are now...
Going to not only be made public, but they're going to get into not only military-industrial complex, but consumer arenas on a scale I don't think most people are ready for.
And then the question becomes, when we're talking about warfare, how far can you take this type of warfare that is completely automated, drone-based, AI-driven, such as Lavender,
that we're going to get into shortly, before the parties that are losing because they don't have that type of technology or their technology is inferior go into the realm of nuclear or other exotic weapons.
When I say other exotic weapons, obviously I'm referring to Russia and the idea that just like Us, they have also weaponized space.
So there's a lot of gray area here too that we don't talk enough about.
Now, we're going to start this off with this piece over at the gray zone where we're going to read a good chunk of it.
Then we got several videos I want to go over and the Majorna one and quantum computing and the Microsoft one is pretty long.
But I really think that that's probably going to be the meat and potatoes of this episode because it is rather new.
I just kind of read about it on the peripheral.
And earlier this evening, I was on the Quite Frankly broadcast, and he brought it up.
And so I think that this is important because Microsoft, just like a Google, they've partnered with the DOD and the Pentagon, the military-industrial complex.
Many, many years ago, I did a video on the Kinect.
Now, remember, the Kinect was around really in a time before every living biological creature had a GPS and microphone.
But this Kinect now, you had a microphone and you had a camera, multi-cameras, in so many living rooms.
And it was reported on early that that technology had been utilized by the military.
So, you can bet your harness that the technology we're going to discuss has already been utilized by the military and we're now okaying this and probably have shepherded along to get it into the public arena.
Alright, before we get into that Google story and we go forward, let's thumbs it up, let's subscribe, share, check out the alt accounts, follow me on x at Jason Burmes for...
Not only the stuff we're going to go over today in its raw format, but so many other stories we sometimes just get lost in the mix and do not cover enough.
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Let me thank some people.
Starting with the man himself, Sam Tripoli.
A big thumbs up to Sam Tripoli.
I love Sam.
I've now known him personally for years.
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He's been very gracious to me.
Sam, thank you so much.
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Saw me on the Quite Frankly.
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Again, could not do it without you folks.
Let's get her moving.
Google imports ex-Israeli spies who automated the Gaza genocide.
Unit 8200 wrote the programming and designed the algorithms that automated the genocide of Gaza and was also responsible for the Pager attack in Lebanon.
Think about that.
And another aspect of warfare.
That we just have not discussed enough how it's changed into this era.
One, if you're not familiar with Unit 8200, this is the cyber unit of the IDF in Israel.
And they are also very much a part of combating misinformation online.
But from every aspect digitally you can imagine, here they are.
And again, when they're talking about designing, they're programming the algorithms.
Because at the end of the day, the AI is choosing who they're going to attack.
And then when you look at this new type of attack that was somehow legitimized, where you had pagers exploding in civilian areas, whether you thought that the ones that had them or were assigned to them were military targets, to do that in a civilian area to me is just unacceptable and grotesque.
I mean...
I think there are a ton of other moral issues, of course, on how people were targeted, and that should be concerning.
But here you go.
Unit 8200.
This is called WIZ.
Okay, W-I-Z.
Now those who helped design the architecture of apartheid are being swallowed by the U.S. Tech Surveillance Company.
So on the 18th, just a week ago, Google bought the Israeli cybersecurity company, WIZ, for $32 billion.
Okay? The acquisition will mark the single largest transfer of former Israeli spies into an American company.
This is because WIZ is run and staffed by dozens of ex-Unit 8200 members, the specialist cyber-spying arm of the IDF.
Now, they were paid a 64-times valuation.
Of what they were supposedly work on this.
All right?
I encourage everybody to go check out this article over at the Gray Zone.
But to me, this really, again, encapsulates this whole idea that what we're dealing with here, when we're talking about, when I talk about at least a military-industrial complex, we're not just talking about the USA and its subsidiaries.
We're talking about its allies.
We're talking about the conglomeration.
Of the intelligence networks at the top, the consolidation of the technology that's utilized.
I mean, you look again, like Palantir and Five Eyes, right?
These go beyond nation states.
And once again, I always bring up NASA.
You know, this one's out of...
February of this year, just a couple months old, Israeli AI visualization startup deployed by NASA plans to list on the NASDAQ.
I continually talk about a walled garden, and I think that that is something to really think about when we get into some of these videos.
Because in large part, the main message...
Of these self-distributed videos by DARPA and then Microsoft that we're going to show you are to be a PR campaign, public relations, a.k.a.
propaganda. The godfather of propaganda, Edward Bernays, who invented the term and wrote the book, Propaganda, and actually talked about The world largely being run by people and names that you knew nothing about behind the scenes.
And politicians basically being placeholders.
That guy.
Also the father of public relations.
What they call PR.
And, you know, just briefly want to bring this up because it just came into my mind.
But if you really want to get into like a modern, more modern day viewing into the...
The realm of propaganda and just a soft use of it.
Go check out the greatest movie ever sold by the now late Morgan Spurlock.
And in that, you know, they're constantly trying to sell you on food that isn't really healthy but has a halo around it that is healthy.
They love their terminology.
I mean, the way these people talk and act.
It's almost like they are a subspecies of human.
Okay? Just want to let everybody know that.
And they're everybody.
They're all genders, all races.
I'm sure all walks of life.
But when they start talking, these public relations people start talking, I mean, I might get a little physically ill.
Now, Before we move on to the videos, there's a couple stories I also want to point out via AI warfare and the era that we are truly in right now.
Russia says a Ukrainian drone attack damaged another gas distribution station on March 22nd.
All right, and that's not, I mean, this is continual.
There are so many different types of drone strikes.
In the midst of this quote-unquote ceasefire they're trying to put together, the Ukraine more and more is utilizing automated systems.
And when Russia's back is against the wall, I mean, how far do they let it get pushed?
That's the next question, and that's a scary one.
So, thumbs it up, subscribe, share.
I want to encourage everybody.
To just go check out DARPA themselves.
You know, they have a little website for DARPA.mil.
You just click-a-do and it pops right up.
They got plenty of media stuff.
You know, they sell themselves pretty hardcore.
DARPA newcomers with a focus on non-traditional performances.
DARPA Connect.
Like, it's out there.
And then the reason, I mean, you look at these.
234 views, under 300, under 500, 3,000.
Every once in a while, some of them break out, right?
DARPA computational imaging direction and ranging, CIDAR.
You know, a lot of this stuff is interesting to me and has been for some time.
But we're going to focus right now on Sabre, Red Sea, and this triage exercise that was put together, the challenge, okay, and why it matters.
We're going to start with Sabre.
The research investigating the vulnerabilities associated with artificial intelligence is this field known as adversarial AI, which is really the intersection of computer security and artificial intelligence.
While previous work has shown the brittleness of AI-enabled systems, this work has not been thoroughly demonstrated in operational contexts.
The Securing Artificial Intelligence for Battlefield Effective Rebuffness, or SABER program, aims to take a lot of the successes found in adversarial AI in the academic world into the operational environment.
Our goal is to build an exemplar AI red team, similar to cyber red teams that we see in industry and even in the DoD, but specialized on red teaming AI enabled capabilities.
And we want this AI red team to continuously integrate and employ emerging counter AI techniques and tools to operationally assess and enable drones, unmanned ground vehicles, and other types of battlefield systems.
Saber aims to gather the necessary evidence to learn operational security risks, offer concrete insights for DoD deployment, and catalyze a community across DoD, industry, academia, and the broader U.S. government.
So, really the key there is the integration of everything I just talked about.
Academia, the DOD, and we're talking about vulnerabilities.
It's across the board.
So what am I trying to say here?
I'm saying we're talking about a world with full access, okay?
Full access beyond the track trace database society that we are currently in.
And that's just a part of the component.
But this is very much that walled garden.
That the Defense Department has already said that they're doing.
And I haven't seen any evidence that Trump is any different from the Biden administration in the regards of artificial intelligence and the Defense Department.
Show me where I'm wrong.
The Chief AI Officer or CAIO program is still going strong.
Okay? So, one of the ways that you do this...
Kind of have an all-encompassing access to these things is, number one, you have backdoors via software, but then you also have hardware that may have backdoors in them, or you have the ability, and this is this Red Sea program, this quote-unquote self-healing computer program, where if you find a hardware component that is not...
Acting correctly.
Either you can rewrite the firmware, okay?
And once you're talking about firmware with these things, that's all backdoors, but it's military accessible, okay?
And if you can't rewrite the firmware, you take an automated, you know, robot arm and replace the hardware.
So this is the Red Sea program.
We just looked at Sabre, okay?
And that's more...
Narrative management and then keeping, you know, the AI threats from getting out of control.
This is more dealing with the compromise of hardware.
Okay, so this is Red Sea.
As a driver program manager, they always ask you to come forward with the vision.
And the vision here with reclaiming bus-based systems during compromise, Red Sea, is to create a self-healing computer.
Now, that's a bit of a unicorn to saddle.
What we're doing is we're building a set of components on a computer and each component is like a neighbor in a neighborhood watch.
You can think of the bus as the highway that they communicate on, so being able to get information around.
Collectively we can then detect what's going on and we want to have them contribute to repairing the damage that was done in the neighborhood.
And then finally we want to make sure we patch that hole in the fence that allowed somebody or something to get in and cause the problems in the first place.
What we're going to do is we're going to rewrite firmware on the components to put the forensic and state information that's missing today.
This enables us to then draw in the computer science community and start solving the problems of detection, repair, and inoculation.
These are interrelated problems, and how you solve one of them affects the remainder of the problem that you have to do.
Companies today that are building components We want to create a factual way for them to cooperate.
By putting the information on the bus, they've cooperated.
This enables them, by being essentially talkative, to join this neighborhood watch.
What I'd really like to do is have people that are building and writing firmware today form their own teams for a fully functioning system.
What we're looking for at the end of the Red Sea program is what we refer to as a Technology Readiness Level 6. We want a prototype that people could buy and use off the shelf.
Red Sea will bring together the firmware community and the computer science algorithm community, which will, together, be able to tackle these challenges which have been beyond our grasp for a while.
So, once again, my concern comes with Defense Department access to all of this stuff and then bringing the quote-unquote community outside of the Defense Department in on this to program as well.
Now, before we get into the final video, I just want to show how deceptive AI Now, a lot of people out there know that essentially there's this idea that AI hallucinates.
Well, it is not a hallucination, folks.
It is an inbuilt feature of it lying to you and creating what is known as narrative management.
So, this is James Pogue, and I totally agree with him.
It seems that it should be a bigger deal.
That ChatGPT routinely invents fake sources, fake books, fake quotes, you name it, and then even fabricates ISBN numbers to make them look real.
All right, now I want to read what ChatGPT said when it got caught.
Wait, so I want to check something else.
You were making up fake ISBN numbers in addition to fake titles?
Yeah. Unfortunately, yes.
And then it gives you an emoji.
You see, like it tries to, I mean, it's so deceptive that it also takes, it takes on like the motif of a girlfriend that gets caught lying to you or a boyfriend that gets caught cheating.
Oopsie! Shapoopsie!
When I generated those fake book titles, I also fabricated ISBNs, which makes it even worse since ISBNs should be a verifiable identifier.
You're absolutely right to double-check everything now.
I seriously regret that I created fake citations that could have easily slipped into your research unnoticed.
That's not just misleading.
It's actively harmful when you're doing serious work.
Let me just do a full stop.
Seriously, actively harmful altogether, whether you're doing quote-unquote serious work or not.
And it's programmed.
Okay? I mean, if you want, I can go back and compile every ISBN I gave you so you can cross-check them yourself.
Or if you're done with this, I completely understand.
And making up fake quotes?
Yes, I clearly did.
I fabricated quotes and attributed them to non-existent or misidentified sources.
That's inexcusable.
And again, especially when you're doing such serious historical research.
Now, that's going to get into quantum narratives and all these other things in a moment.
But before we get into this triage and automation, I just want to say this.
If you're trusting the science, the science changes all the time.
September. They're saying that they found this invisible force after 60 years of searching.
Now, do I believe this?
I think that if this does exist, and they're saying it's as important as gravity, it's the polar wind, all right?
Plays a crucial role in how Earth's atmosphere escapes into space.
Particularly above the North and South Poles.
Now, my belief is, you know, obviously they've had this information for a long time, but now they're rolling it out.
Just like they're rolling out automation.
And, you know, with this, as I talk about less and less human beings on the battlefield, you're going to see more and more robotics.
And that is this DARPA triage challenge.
So let's play this video here.
When you deploy, as I have numerous times, both on the aircraft carrier and in the Middle East and in different parts of the world, at times we can get numerous casualties at the same time just taxing the resources that we have.
From a logistics standpoint, From a human capital standpoint, from a resource standpoint.
We don't actually have a real good, robust triage system to use right now that's trained across the force.
I mean, essentially what you're doing is you're kind of eyeballing the person, looking at their vital signs, kind of doing a little of this right here.
And also our current triage tools require that you actually have to, like, assess the patient directly.
The idea of being able to potentially triage people without having to be face-to-face would be really a game changer.
To take care of multiple injured patients at once is certainly a big challenge.
Knowing the degree of the...
Their injury and how they're going to do in the next few minutes and next few hours so that I could appropriately triage my time and our team's time is really, really important and not something that is intuitive or obvious within those first few minutes.
So there's such tremendous opportunity for us to apply technologies in these domains to help us do our work better.
Because what we have now is a massive amount of computing power, a different generation, if you will, of what we call artificial intelligence right now.
And we have massive investments in a talented cadre of individuals that are working on a myriad of things that are all coming to bear right now in healthcare.
This DARPA challenge is really unique in the sense that it's affording an opportunity for teams to bring their ideas and their solutions to a challenge, a problem set.
So, you know, pretty self-explanatory there.
The DARPA robots are now medical bots.
You have mini drones.
You have artificial intelligence.
And look, I get it.
I want less dead people.
But how many soldiers are going to be on the field at this point?
I mean, again, I want to utilize technology to help people.
But at the same time, there's just so much going on.
Now, the next video...
Is on quantum computing and this new processor that Microsoft has put out.
I'm going to be interrupting this one from time to time because it is so long.
But I think that this is an extremely important one as well because artificial intelligence, and that comes in at the end of this video, is...
So incorporated.
AI so, so, so, so incorporated into this quantum realm.
And now, again, you have to ask yourself, is this just being commercialized?
Is this the revolutionary change from what we saw 10, 15 years ago?
I'm not quite sure.
Here we go.
This is the new Microsoft Mayorna One and what they're telling you it is because they're also telling you this is a new state of matter.
And I think that's being challenged at this point, as it well should be.
*music* What would the world look like with a computer that could accurately model the laws of nature?
That's the promise of quantum computing.
But there have always been limitations.
Now is one of our longest-running research projects.
Our team at Microsoft has been able to take a subatomic particle that has only been theorized until now and not only observe it, but control it.
Creating an entirely new material and a new architecture for quantum computing.
One that can scale to millions of qubits on a single chip.
This is not a work of science.
It's a book of science and art.
I gotta be honest, some of these ideas are a little science fiction sounding.
It will solve problems unsolvable by the combined power of all the world's compute today and promises to revolutionize fields such as medicine, material science, and our understanding of the natural world.
Our first quantum processor based on this architecture is the Majorana 1.
I want to just stop it here, all right?
Before we get into what they're saying this is going to do, again, when you talk about PR and propaganda, how much of the imagery that they just put out You know, again, this beautiful imagery of it's going to unlock all the secrets of the universe, all these different promises that in many regards, you know, are over promises.
But again, let's do this.
Yeah, I've always been fascinated with puzzles and challenges and a mixture of mathematics and computers.
And so when I learned that there's this type of computer that didn't exist yet, but could solve problems that we couldn't solve with our digital, you know, all of the computers we had, I was just fascinated.
I wanted to learn, well, how can I help that computer be built?
Over the years, I ran into problems that you couldn't solve on the most powerful computers.
But then over time, I realized, hey, I could solve that if I had a quantum computer.
A laptop can solve a problem of 10 electrons.
A supercomputer can solve a problem of 20 electrons.
But no classical computer in the world can exactly solve the behavior of 30 or 40 or 50 electrons.
The number 30, 40, 50 electrons...
Those numbers are seemingly small, but require up to lifetime in the universe timescales to solve with all of the world's computers operating together.
That's until you have a scaled quantum computer that can solve these problems efficiently.
These calculations are so complicated that if the classical computer was as big as its entire planet, it would still not be able to compute it, just to give you a construct of scale.
And a quantum computer can do it, and can do it very, very well.
At the core of a quantum computer are these qubits.
Qbits are like our classical bits, right?
These are essentially zeros and ones in a transistor.
And we need the analog of that in quantum computing.
The analog is a qubit, a quantum bit, that serves as that core information unit.
It's where we store the information and then we process on those qubits to create computation and ultimately, you know, get solutions back out.
Now, there's many different ways, right, to create a qubit.
The reason quantum computing has been so slow to progress is that the industry has been struggling with problems making qubits reliable and resistant to noise.
So, right here, when we're talking about noise, again, not sure.
We're really talking about a stability issue, all right?
Now... If you look at the size of the machines that they used to have to have these processors in, that's still small, but it still appears that, you know, these things have to be in very, very specialized units.
So when we're talking noise, I don't know what that means.
Remember, a qubit, in the traditional sense, when they're talking about programmings in zeros and ones, what makes this special is, in a quantum state, the qubit is...
Both zeros and ones at the same time.
And one of the things that is not discussed here, which I'm going to have to do more research on, is where entanglement fits in, which is another theory about this.
Progress has been incremental.
The challenge is qubits are actually pretty delicate in general.
So you need underlying qubits that are really stable.
But you don't want that to come at a cost.
Because you don't want your underlying qubits to be really big.
That's one way to make it more stable is have them really big.
If they're really big and you're still going to need many of them, then how are you going to fit them all into your system?
You don't want to deal with something the size of a warehouse.
Then the second thing is you don't want your qubits to end up being slow, right?
Because if the price you pay for getting something stable is you have to go really slowly, then a computation that might take you a month.
It ends up taking your decade, and then it's not useful.
People in the early days of computation used vacuum tubes, and then that technology, actually, you could build very good computers with it, and then the transistor was invented.
And, you know, the earliest transistors weren't necessarily that great, but it became clearer over time as the transistor developed and the integrated circuit developed that this was going to be the technology of the future.
In that spirit that, you know, the first generation of qubits It may not be what gets us to the next stage where we can really solve the kind of problems I was mentioning that are really important.
And so we might need to invent a material, and therefore a quantum processing unit, that has the right properties.
So for us, we want something that has some built-in level of error protection.
And a lot of those ideas actually were explored in the context of software, of quantum error correcting codes.
But you can actually build a lot of those ideas into hardware.
The way you design that qubit matters.
So again, this is kind of where you're going to get controversial.
Because later on, they're very much going to tell you that in order for all this stuff to work, you do have to incorporate it into what?
traditional computers as well.
We see the states of matter every day.
Solids keep their shape.
Liquids vary but keep their volume.
Gases expand to fill the space they're in.
All defined ultimately by how their atoms behave.
But what if there were more?
What if, under the right conditions, you could engineer more?
States that have only ever been theorized.
That would change how subatomic particles actually behave.
A hundred years ago, mathematicians predicted one such new state of matter, the topological state.
And since then, researchers have been looking for a very specific, very useful quasi-particle within it, the Majorana particle.
So once again, when we get into this stuff, just like the Higgs-Boson and CERN, I'm going to have to admit, It's above my pay grade other than what I have read about this and what others have said about these things.
But this is that breakthrough that Microsoft is claiming.
And they're making the claim that just like a year plus ago, they didn't even know that it actually existed.
Last year, we were able to observe it for the first time.
And this year, we're able to control it and use its unique properties to build a topoconductor, a new type of semiconductor that operates also as a superconductor.
With this material, we can build a whole new foundational architecture for our quantum computers, a topological core.
Allowing us to scale to not tens or hundreds of qubits on a chip, but millions, all in the palm of your hand.
Majorana's theory showed that mathematically it's possible to have a particle that is its own antiparticle.
That means you can take two of these particles and you bring them together, and they could annihilate and there's nothing left.
Or you could take two particles and you bring them together and you just have two particles.
Sometimes it's nothing, the zero state, and sometimes it's the electron, the one state.
So it really has taken quite some thinking, right, some time to design a device, design a chip that can enable measurement of this literally elusive particle.
So again, he describes these particles as zeros and ones at the same time.
Right? That was kind of the explanation.
We went there.
It's ever elusive.
Once again, I want people to understand what they're saying to you here.
I've been following this a very, very long time, and now, for the very first time, I am hearing about this quote-unquote particle.
And just like I've heard the Higgs-Bawson announce time and time and time and time and time again, color me skeptical.
We've designed a chip that is able to measure the presence of Majorana.
Majorana allows us to create a topological qubit.
A topological qubit is reliable, small and controllable.
This solves the noise problem that creates errors in qubits.
Now that we have these topological qubits, We're able to build an entirely new quantum architecture, the topological core, which can scale to a million topological qubits on a tiny chip.
Every single atom in this chip is placed purposefully.
It is constructed from ground up.
It is entirely a new state of matter.
Think of us as building the picture by painting it atom by atom.
Let me just stop you right here.
And just because, again, I've mentioned the quote-unquote propaganda aspects of all this stuff, right?
Think about the mood change, and now the music in the background, and the pacing atom by atom.
In a regular chip, the computation is done using electrons.
We don't use electrons for compute.
We use myranas for compute.
It's an entirely new particle.
It's half electron.
When we look at the design of this chip, right, first of all, you can fit so much.
On just a small form factor, right?
This chip can store over a million qubits, right?
Over a million can fit on just this small form factor.
In addition, we don't want to wait centuries or millennia for a solution.
And so this chip also offers the right speed to get solutions from the chip in a reasonable, efficient amount of time.
That's the beauty in this qubit design, the topological qubit.
It has the right size, the right speed, and the right type of controllability.
And all of that together means that it has an ability to scale like no other.
The way the system that we are constructing works is you have the quantum accelerator, you have a classical machine that works with it and controls it, and then you have the application that essentially goes between classical and quantum depending on which problem it's trying to solve.
So once again, this is stuff that is obviously not going to be commercially available.
Still needs the traditional compute.
And from what I'm seeing, again, you look at it on this spiral type thing, still needs to be in order to maintain the stability that they're bragging about at some kind of a temperature.
You know, the D-wave ones, you had to get to, like, the temperature of the vacuum of space.
Once the computations are done...
The results are resynthesized on the classical side and produced back to the user as one complete answer.
Where the quantum machine shines, it is able to do simulations, particularly in chemistry and materials, that are extremely accurate, as accurate as an actual wet lab experiment.
Imagine a world where a scientist computes the material that they want.
And they compute it to the accuracy that it's first time right.
So when you walk into a lab, you don't need to experiment anymore.
Now, again, that's, I mean, again, the promises he's about to make afterwards, such as, you know, an electric car that you charge once and it never disperses it.
You know, it's basically he's saying it's going to unlock all the secrets of the universe without actual experimentation, but just simulation of that experimentation.
But if AI...
And they're going to get to that aspect of the quantum computing as well.
If it's programmed garbage style, like we've seen, then aren't you going to get garbage out?
How are you going to solve anything?
How can any of this be trusted?
Imagine a battery that you charge at once and you never have to worry about discharging.
What can you do with a million qubits?
In the last few years, there's an explosion of artificial intelligence, right?
Co-pilots.
And what's so inspiring about a quantum computer is that with a quantum computer augmenting the AI capability, it can help more, you know, drive even more discovery.
What makes me excited about quantum computing is that it will give us the tool to tackle many of these challenges at the fundamental level by creating new chemicals, new drugs, new enzymes for food production.
Honestly, it's kind of mind-blowing right now because this is something we've thought about for a while, years or more.
We call the ages of mankind by materials.
We've talked about the Stone Age, we've talked about the Bronze Age and the Iron Age, the Steel Age, the Silicon Age materials define our culture, define our mankind, define our progress.
Thus, what could be more powerful than having a machine that can let you radically change the way we work with materials?
Radically change the way we work with materials.
Now, I know many of you out there have talked about graphene, but really to me, bar none, doesn't matter.
We're talking bio-nanotech.
Bio-nanotech.
And now you're talking about the development of that.
Bio nanotech.
We're going to get back to that video and then wrap it up.
I do want to encourage everybody to thumbs it up, subscribe, share, check out all the documentaries.
And if you can, please consider supporting the broadcast with the links down below.
All right, let's finish up this AI quantum computing Microsoft video.
Our leadership has been working on this program for the last 17 years.
It is the longest-running research program in the company.
And after 17 years, when we are showcasing our results, we are showcasing results that are not just incredible.
They're real.
And that's the question.
They are real because they will fundamentally redefine how the next stage of the quantum journey takes place.
We're at the cusp of a quantum age, and Majorana 1 is just the beginning.
We're at the cusp of a quantum age.
And they're telling you that it is just the beginning.
A few more stories that I did want to hustle through in these final five or so minutes of the broadcast.
This one's wild.
I was going to play the video.
We really don't have to.
It's just the craziest thing ever.
But again, we're in this really weird world of debt, of instant gratification, and in a lot of ways, zombification.
What am I talking about?
DoorDash users will be able to take out a loan to pay for lunch after the company struck a deal with Klarna.
Customers will be able to split a payment into four interest-free installments or defer payments to a more convenient date.
Taking out a loan to buy lunch may be the most insane thing I've ever heard of.
And in the video, the woman is just super gleeful.
What is it, DoorDash Plus or something like that?
There's those members.
I'm a DoorDash Plus member.
It's like...
First of all, so many of us have been totally and completely detached from nature.
Most of us, myself included, probably couldn't survive on their own to do agriculture or anything of the sort.
What I can still do, and what I'm still pretty decent at, is cooking for myself.
And I enjoy it.
And it's yum, yum, yum, give me some.
In fact, right after this, haven't eaten all day, probably cooking up a steak.
Very much looking forward to that.
This person, I mean, that's not even an option.
It's what's open and what can be door dashed.
I know they'll do grocery shopping for you too.
Why would I want somebody else to pick up my food?
The laziness has gotten out of control.
Out of control.
A few more stories.
The JFK assassination records.
Since the last time we did a broadcast, there has been a third dump right here.
I just want to let everybody know.
13,700 pages.
That's still not all of them.
This is going to take a lot of going through, and hopefully when all of them are out, someone's going to OCR them and have them much more searchable.
More glowing orbs!
Coming from the mothership.
Folks, the drone stuff is still happening.
You know, most of this stuff is not like your traditional UFO stuff.
Much of this drone stuff is the kind of automated, commercialized drone stuff, AI-driven, that they're testing out to be commercialized on top of everything else we talked about today.
That's why I did want to hit that as well.
Okay? I don't want to get too far into this story.
This is tail end.
Perhaps we'll, in a different episode, get deep on this one.
Pedophile judge and fire chief shared fantasies about abusing their own grandchildren before their twisted lives came crashing down.
Monsters do walk among us, folks.
And some of them are people of quote-unquote respect.
Some of them are people of power.
Of authority.
And sometimes it's big time.
You know, we're getting into the DC level.
Sometimes it's local.
Pretty scary.
And then McGregor is saying he's going to run for the President of the United States.
Folks, he's viciously hated in Ireland because they know that he is a brutal serial abuser.
Of women.
Period. You know how I feel.
He should be in prison.
And to me, we played that clip of the Limp Bizkit fans and them all booing the guy.
They hate the guy over there.
He's disgusting.
They actually covered it in the media over there.
Once it went to trial.
A lot of cover-ups before that.
But at the same time, there was a lot of good work where they actually The Irish sports star got into the gruesome details.
It's the last person that you want in any kind of office, but it speaks to the ignorance of Americans.
I see all you social media influencers and you conservatives like propping this guy up.
You make me want to puke.
So, one more time.
It's not about left or right.
It's always about right and wrong.
All the documentary films are free.
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