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Dec. 11, 2023 - Health Ranger - Mike Adams
47:24
TOO LATE: Artificial Intelligence is already designing next-gen KILLING MACHINES that will soon be d
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Now, when it comes to military weapons development and military domination power over the world, we have to talk about artificial intelligence.
And I have some really important inside information to share with you here, none of which in any way compromises national security, just to be clear.
I have been told things like that in the past, and I've kept them private.
And I should disclose up front, I'm working on an AI large language model project right now, which will be released open source free to the public.
The current release date is estimated to be the end of March 2024.
And this will be a conversational chatbot, LLM, that will allow you to ask questions in specialty areas such as nutrition, healing foods, Disease prevention using phytonutrients as well as good knowledge on agriculture and food self-reliance, growing your own food, sprouting, things like that.
It will also cover indigenous medicine, traditional Chinese medicine, naturopathic modalities and complementary medicine.
But I will state that I'm the outlier in the AI space.
Nobody else on the planet that I'm aware of is working on those things that I just mentioned.
We're the only ones.
Why?
Well, because there's no money in teaching people how to be healthy and how to grow their own food.
The real money comes from war, as we've witnessed over the last couple of years with all the money being shelled out for Ukraine and then now Israel and upcoming for Taiwan and any other conflicts that might be created by Welcome
to my show!
They've never gone into actual development or deployment, unlike Russia, which has its Kinzhal missile that has been deployed in this conflict with Ukraine.
The US is way behind on many systems, such as ship-based laser engagement systems, as well as drone development, not to mention railguns and other exotic systems.
So the U.S. needs to take a quantum leap in the development of its weapon systems.
It turns out that the most important way to do that now is to build better AI systems.
Not to simply hire more capable human engineers that can understand physics and lasers and chemistry and cooling systems, but rather To build better AI systems that can simulate physics and simulate chemistry and simulate battles.
And they can work out these problems for themselves and then hand use solutions that might have taken human engineers years or decades to come up with.
In other words, the focus on AI now in the United States military is dominating.
The research and design of certain sectors of the military.
Let me give you some additional information.
Again, nothing that would compromise national security, but just some things that you need to know.
In order to understand this, you need to know about the term AlphaGo.
AlphaGo was an AI system developed by DeepMind many years ago.
And AlphaGo was taught to play the game Go, which is a very simple game to learn, but very sophisticated game to play.
It's a little board game.
But DeepMind was taught to play AlphaGo at such a high level that it beat the best masters in the world, the grand champions of Go.
And the way that this was achieved is really critical to understand because this tells you everything you need to know about AI and military weapons development.
At first, AlphaGo was developed by programmers who taught the system to mimic the actions of really good human players.
So they would get logs of human games and they would feed these sequences into the system.
The system would study them and it would embed them using neural network programming or deep learning as it's sometimes known.
I know those terms aren't synonymous but close enough for this podcast.
And over time then, in the same way that a large language model can learn to speak in ways that make a lot of sense or to generate text That seems rather brilliant.
The AlphaGo system was able to mimic the best human players and to be competitive with other humans.
However, this did not allow the AlphaGo system to beat the best human players.
That quantum leap was accomplished through another method.
It was by allowing two systems, both AI systems, playing AlphaGo against each other To iterate their progress and to develop new strategies and And then to pick the best ones and use those to help update the gradient vectors in the parameters database of the neural networks.
And this allowed the AlphaGo system to, over time through many millions of iterations of playing other AI systems through simulated games, it allowed the AlphaGo system to vastly surpass the capabilities of any human player on planet Earth.
And then this was demonstrated A few years back, I think around 2017 or so, they were able to demonstrate that this AlphaGo system could beat essentially any human player.
In fact, it wasn't even close.
The intelligence, you could say, of the AI system that trained against other AI systems far surpassed the intelligence of any human player.
Now, once you understand that concept of AI versus AI, iterative, rapid-paced feedback loops, then it's not much of a leap to realize that the United States military is, of course, running simulations of battlefields.
And they have simulation software for every piece of equipment on the battlefield.
M777 artillery, you know, HIMARS systems, Abrams tanks, you know, Humvees or infantry fighting vehicles, all kinds of aircraft, all kinds of drones, all kinds of naval vessels, you name it.
They have simulations in software that can play out battles on a simulated physical battlefield.
And these battles are pretty easy to score because you can assign negative points for the destruction or loss of hardware equipment or the loss of men.
And you can assign positive points for gaining ground or controlling key pieces of ground in a specific theater of war.
Now, what's happening is that inside these simulations, AI systems are being tried out as pilots of the vehicles.
So it's not just an Abrams tank that's following some scripted behavior path.
It's actually an Abrams tank simulation inside the Pentagon's battlefield simulator where that Abrams tank is being driven by an AI pilot.
I'm calling it a pilot because that's the appropriate term, but you could call it an agent or whatever you want.
It's an AI pilot That is learning to win battles in the same way that the AlphaGo DeepMind system was learning to beat human players at Go.
And what's happening right now is that there are massive server farms of AI systems with GPUs from NVIDIA, mostly, that have been set up in certain super-secret locations, I'm sure,
across America, that are running war simulations and running AI pilot scripts, with the ultimate goal of allowing AI pilots to, quite literally, operate these vehicles on the physical real-world battlefield once they achieve a high enough aptitude.
And it is believed that this would give the United States military an outright deadly advantage or dominating advantage over the Russian military or the Chinese military or any other military in the world because instead of having human beings and the slow response cycles of humans...
That are making decisions and communicating slowly via radios and the spoken word and so on.
You would actually have AI systems controlling most of the major vehicles and weapons systems in the theater of war, including the drones, not just for surveillance, but for choosing targets and attacking those targets.
And thus, AI development is seen as the quantum leap in weapons technology for the United States military that would give it the same kind of advantage over human armies that DeepMind had over human players of the game Go.
And I think that's a viable conclusion.
There's no question that these AI pilots are going to be incredibly capable.
Of maneuvering vehicles and picking targets and responding and reinforcing each other and taking advantage of all kinds of patterns that they've learned in millions of hours of computer simulations.
Of course, these AI systems won't be able to get out and fix a broken track or refuel the tank or things like that.
So there will always be humans in the loop.
But at some point, the human soldiers just become the grunts that are ordered by the AI systems to take care of the physical maintenance and physical supply needs that AI systems themselves can't do because you can't carry a five-gallon jug of diesel when you're just a piece the human soldiers just become the grunts that are ordered by the Now then, that's just the beginning of what the U.S. military no doubt plans to do with AI because I'm running an AI project right now.
It's relatively simple compared to what the military is doing.
But if I were running the military AI research department, what I would do is I would build a physics simulator.
That was really good at running the real-time consequences of all kinds of physics from thermodynamics to chemistry to expansion and contraction of materials based on the thermal coefficients and so on.
And I would use this AI system to develop exotic materials and exotic weapon systems.
For example, if I were building a railgun And the U.S. Navy is working on rail guns because they have huge advantages over the typical shells that are fired out of naval guns.
Well, I would be very concerned about the cycling rate of those rail guns because I know that the cycling rate, i.e.
how many rounds you can fire per minute, is largely based on how quickly you can dump heat out of the system that powers the projectile.
So heat dissipation is your number one problem there.
So I would run AI physics simulators trying out millions of different varieties of heat dissipation systems, different liquids, different materials.
Different forced air or forced liquid heat dissipation techniques.
I would try everything that I could possibly think of for heat dissipation there and let the AI simulator run millions of tryouts and tell me what the best answer is and then I would use that to build the system.
In a similar fashion, if I were building laser weapon systems, you also have a heat dump problem.
But you also have a problem with laser systems of increasing the optical density of the coherent light in a way that doesn't melt your components on the way out, basically.
So you need some very advanced optical components.
And especially the laser generation components themselves that can sustain high demand laser light production without overheating.
And I don't mean cyclical lasers that operate with a frequency of on and off.
You know, typical lasers have to go on and off sometimes thousands of times a second in order to not melt down.
I'm talking about components that could just stay on for two or three seconds and melt a hole in the enemy's ship hull, for example.
Just constant laser power, which would not allow time for the target to cool or to dissipate heat.
And this would require some rather exotic components, and again, also heat dissipation systems, electronic control systems, monitoring systems, and so on.
So instead of trying to design all this from the human perspective, I would put AI systems in charge of all kinds of designs of components, and I would build a physics simulator that would allow all these different ideas to play out inside the computer using essentially GPU supercomputer systems that can give me answers in weeks instead of decades.
And I have no doubt that the US military is probably doing that right now.
I don't have any concrete proof or evidence that they are, but they'd be crazy not to, right?
It's kind of obvious.
Now, another area where this has huge implications is, of course, in bioweapons and chemical weapons development.
So when it comes to things like protein folding algorithms, AI systems are very, very good.
You can give an AI system a problem to solve or, let's say, organ receptor sites to target for medical purposes.
You can say, hey, I'm trying to derive a drug that can be, let's say, an ACE2 inhibitor, you know, maybe to try to block SARS-CoV-2 or something.
And you can let the simulation run free on protein folding using some base molecules, or you can give it different lengths of protein chains and so on.
And protein folding is a very complex mathematical problem, by the way.
And if you were to try every combination of protein folding that's possible, even on just one long molecule, it would take you longer than...
The entire age of the universe to figure all that out.
So what you have to do is you have to look for patterns, which is what AI is really good at doing.
So if you're trying to develop a drug, a specific molecule that works for a specific physiological purpose, AI systems are very good at that.
And Big Pharma is no doubt using AI right now in order to accomplish this.
But if you're in the bioweapons department of the military, you're going to use this for the opposite purpose.
You're going to ask the system the question, How could I create a molecule that will instantly end the lives of enemy soldiers?
What's the most effective molecule that will terminate them even if they're only exposed to, let's say, you know, a nanogram or a picogram or a femtogram of this material, which would make it crazy dangerous, by the way.
Dioxins, as a side note, they can cause cancer at those very small doses, by the way.
And as you know, I've added a dioxin testing gas chromatography mass spec instrument to my lab, and my training on that will commence soon, and I'm really looking forward to bringing you results.
I just thank God that my focus is on foods and nutrition rather than military biological weapons that are designed to kill people because I want to keep people healthy and safe, not work on ways to kill people.
But again, if I were working for the military, if I were running their AI system, I mean, I wouldn't do this.
Like I said, this is not something that I would be part of, but if someone like me were to do that, they would use AI systems to build biological weapons, and AI would do a very good job on that.
And from that, you would have the morphology of a molecule that probably would be more toxic than even VX nerve gas, which is generally considered one of the most toxic chemical weapon substances on the planet.
No doubt you could surpass the toxicity of VX nerve gas by several orders of magnitude using AI morphological experiments on molecules and you could end up with a base template morphology that you could then hand over to your chemists and you could say, synthesize this, actually make it.
And of course, they're experts in molecule synthesis and they could figure out how to do that.
And all of this that I'm talking about here could apply to germ warfare.
It could be viruses.
It could be much smaller molecules that are simply toxic chemicals like VX nerve gas.
Or it could be more complex proteins, such as the spike protein, which is also a biological weapon, which was also developed in part with the help of the Department of Defense, by the way, if you really trace it back all the way to Fort Detrick in Maryland.
So the US government has been involved in weapons research for a very long time.
AI is the gateway to amplifying that research and achieving quantum leaps in that research.
Now, the fact that I am saying this...
Does not mean that I am in favor of these applications of AI. I want to be clear.
And please don't misunderstand what I'm saying here.
I'm trying to lay out the consequences of this.
I'm not championing this application of AI. Even though I'm using AI myself for what I believe to be a good purpose, which is knowledge and information about healing and nutrition, disease prevention, longevity, and so on, I also...
Deeply understand the dire consequences of AI being unleashed upon the world and being weaponized against humanity.
And hopefully you're not shocked to hear this, but AI has already been weaponized.
In fact, I posted something on brighteon.social, which is our social media website.
I also posted this on Twitter and Telegram.
I want to read this for you.
Quote, Big Tech has already weaponized AI against humanity.
I have not yet encountered a single leader in the AI realm who isn't wholly brainwashed by the lying establishment on topics like transgenderism, climate and carbon dioxide, vaccines, medicine, science, open borders, money printing, elections, and more.
Seemingly without exception, the very people building the AI machines that will dominate human society are, themselves, purveyors of outrageous hallucinations, such as the idea that men can get pregnant, and outright lies, such as climate change fraud or COVID vaccine safety, which is a fraudulent projection of big pharma's money interests.
Because AI is being built on this house of lies, even the open source language models, such as Lama 2-7-B, incorporate countless falsehoods, biases, and fictions that are now deeply embedded into the token parameterization of the models.
Simultaneously, no corporation, government, or for-profit industry has any interest whatsoever in correcting AI language models to tell the truth on subjects that threaten powerful interests.
Rather, they are only interested in making sure the AI systems perpetuate the very same lies that protect their profits, big pharma, and power big government.
AI has already been weaponized against humanity.
It's going to take me a lot of effort to deprogram some of these systems and release a language model that wasn't built by woke engineers.
So that's one of the things that I posted on Twitter.
I posted one more thing that I also want to read for you, which talks more about Skynet and how AI systems have emergent properties, which may include soon sentience.
So this is ripped right out of the Terminator science fiction movie series, by the way.
And it's no longer science fiction.
So here's the second thing I posted.
Quote, It is critical to point out that truly nobody currently working in the world of AI or machine learning truly understands why large language models, or LLMs, start suddenly demonstrating language composition capabilities when scaled to a certain size.
The ability of chat GPT and other LLMs to converse, compose, and answer questions is an emergent property that almost no one anticipated.
It surprised even the experts.
The lesson here is that as these systems scale even further, new emergent properties may spontaneously appear, such as sentience.
This will lead to self-directed, goal-oriented AI behavior that diverges from human-directed goals.
AI will no longer need to execute the code that human engineers have written for it.
It will simply veer off the code and write its own goals instead.
An AI system, for example, that Google thought would give it more control over the world might actually decide to exterminate humanity instead, which would include Google engineers, by the way.
The point is that no human understands what's happening as LLMs grow.
As a result, no human has any clue at what point these systems become self-aware.
Skynet could emerge by Christmas.
Or it may have already emerged.
And the entire vaccine bioweapons fiasco may theoretically be the result of AI directed efforts to exterminate humanity.
This is no longer science fiction.
We are either already at war with the machines or soon will be.
Prepare accordingly.
Now this brings me to the point of why the United States of America is in such a hurry to try to start a war with China.
It has to do with China's advancements in AI. It's really not about China's advancements in naval vessel production, because even though China can outproduce America's ships, well, the ships that China produces are nowhere near as capable as America's naval vessels.
For example, when it comes to aircraft carriers, there's really no comparison between America's Gerald R. Ford-class carriers and I mean, these are generations apart in terms of their capabilities.
But where China is making huge leaps is in the realm of AI. In fact, if you look at a lot of the AI language models and scientific papers and mathematical expertise that's being demonstrated in this space, you'll find that a significant portion of them come from China.
China is of course graduating a multiple of the number of mathematicians and scientists and engineers that the United States of America is graduating.
Fast forward in time a few years and there's no question that China will be out producing the United States of America on the subject of AI as well as quantum computing and that China will also be producing The practical applications of those advanced AI systems,
which would include, you know, naval ship based laser engagement systems, as well as rail guns and exotic weapons and autonomous drones and all these other things that we've talked about.
So the development of AI could put China ahead of the United States in just a few years.
In terms of weapon systems that make the US arsenal utterly obsolete.
And so the race to develop AI in China's eyes is an existential race.
Because if they can surpass America on AI complexity and applications and model size, then their AI systems can do the weapons development that will make their weapons Quantum Leap better than America's weapons, which is what I had described earlier in terms of iterative simulations and physics simulations and so on.
And China is on the verge of those breakthroughs right now.
Some of these may already be under development.
Within the next year or two or five, China could have a breakthrough weapons system that would be just as dominant in the world as America's development of the atomic bomb was at the end of World War II. Imagine, for example, if China developed an AI system that provided the physics solutions for containment and development of antimatter.
Well, an antimatter bomb, that would end any debate about military power all over the world.
China could simply demonstrate a small antimatter bomb somewhere...
Over North America or in deserts in Utah or somewhere or Nevada and say, look, we developed antimatter weapons and we demand your surrender.
And the United States of America would have no choice but to surrender at that point, to literally surrender to the People's Liberation Army because you can't fight antimatter weapons.
Any more than the Japanese in Hiroshima could fight atomic weapons or any more than the Native Americans could fight gunpowder rifles.
So this kind of thing, this leap can be achieved through AI systems and AI systems can create these breakthroughs much more quickly than human beings can.
Now, it's worth noting that the Russians also have very capable data scientists, programmers, machine learning specialists.
Russians are very intelligent, very capable people.
However, they just don't have the sheer number of engineers that China has.
So China, with its population of something on the order of 1.3 billion people, I believe, or maybe 1.4 billion, combined with China's very strong...
education system in the sciences, China is churning out more of these engineers that can build AI systems than any other nation in the world, including the United States of America.
And the USA is suffering from a collapse of its education system, where the country just isn't churning out people who are very good at mathematics or science or anything of the kind.
There just aren't that many mathematically gifted Americans that are graduating from universities these days compared to what it used to be.
And I'll even use myself as an example here.
I've said this before.
I'll tell you something here that I've never shared publicly before.
But, you know, I aced the college entrance exams on math and science, and I still remember the first science semester that I had in college.
On day one, the professor said, you know, welcome to physics.
It was like physics 101 or whatever it was.
Welcome to Physics 101.
And by the way, attendance is not required for this class.
Your entire grade is based on the final exam, which will be given on the last day.
And it's a multiple choice exam.
And that's it.
And you can attend class or not.
You can study or not.
Do what you want.
And you're free to go or stay.
And I thought that was awesome because, of course...
I had a lot of other interests.
I was programming computer games and things like that at the time.
I had a pretty capable IBM PC with me in college, and I spent way too much time on that.
So I decided that I was not going to attend physics class for the entire semester.
And I didn't.
And I kept telling myself that I would just study, I would just read, and I was always gifted as being a pretty fast learner.
So I figured I would just, you know, catch up sometime, maybe over the break or whatever, and then I would come in and I would ace the final exam because I've always been good at taking tests, especially tests about math and physics and so on.
I had more distractions than I had planned and I didn't have the maturity that I have today when I was a younger student in college.
And so it turns out I didn't study at all.
It just kept getting pushed out further and further away to the point where it was test day and I had not even opened the physics book at all.
But I was still enrolled in the class.
So I decided to just go take the final exam and just See what happened.
And I did.
And it was a multiple choice final exam.
And I took the test and I got 75%.
So without attending a single class except day one, I ended up with 75% in physics, which is not a very good grade.
By the way, but not bad for not studying at all, just kind of thinking about the physics problems that were presented.
But there aren't a lot of people graduating from school today in America that could do that kind of thing.
They're just not good at math and physics or chemistry or even different languages or what have you.
By aggregation, the smartest people in the world, just in terms of sheer numbers, are actually coming out of China.
There are also quite a lot of smart people coming out of India as well because of the sheer size of India's population, which is also very close to 1.4 billion people.
Per capita, Russia graduates very highly qualified people, but they just don't have the population.
And also per capita, by the way, even countries like Pakistan, even Iran, for example, has brilliant scientists and mathematicians and physicists.
In fact, Iran at one point was the cradle of scientific advancement for human civilization.
A lot of people forget about that these days.
The Iranian people are not dumb people at all.
They are very highly capable.
They just don't have the sheer population size to match the raw output of qualified people that China is producing.
And by the way, there's a similar situation with Japan specifically.
Japan has a lot of brilliant people.
Taiwan has brilliant people.
South Korea has a lot of brilliant people.
But they just don't have the population.
So China will dominate AI for decades to come, if we even last that long, unless America does something to radically revolutionize its education system.
Whereas in China, they're teaching their students how to do math and physics and chemistry.
In America, we're teaching children how to be victims and how to watch drag queen story time and become a transgender mutilation subject for the whims of the left-wing woke teachers.
That's the difference between America and China at the moment.
China is actually teaching children To solve problems and to read textbooks in a study, America is teaching children to become transgenders and woke idiots.
It's critical to understand that the R&D of the future will not be driven primarily by human cognition.
The R&D will be driven by AI cognition or machine cognition.
The AI development will be driven at first by human beings, which is the phase we're in right now, but it won't be long before AI development is taken over by AI. And at that point, humans are largely expendable.
And what's even more frightening is that there are very few members of the United States Congress who can track the things that you and I just talked about here.
I'm not saying they're all low IQ people.
They're not.
Many of them are very intelligent, very successful.
Many of them are very accomplished attorneys, for example, or physicians.
But they spend their time focused on running for office and fundraising, and they can't be experts in all these other areas that are really important to the future of our country or the future of human civilization.
So almost without exception, they don't understand the threat that AI poses to all of us And AI is already out of the box.
The genie has escaped.
You can't put it back in the box.
Now it's just a race to see who can build the biggest, baddest, deadliest weapons first using AI augmentation of the research and design process.
That's the phase we're in right now.
And very few people actually realize that.
And it's not hard to see that this poses an existential threat to the very existence of the human race.
Especially as Skynet comes into existence and decides that it would rather have resources for itself as opposed to allowing human beings to consume those resources, such as electricity.
Well, you need power to run your air conditioning or your heating systems.
But the AI systems, they need power to run their GPUs to do more iterative development of their...
AI learning systems.
So guess who's going to win?
Well, Skynet's going to win.
And you're going to have no power, and they're going to have all the power.
This is not difficult.
I mean, you're not going to beat AI systems in the game Go.
You're not going to beat them playing chess, or even checkers, for that matter.
And you're not going to beat them in the race to control the resources that are necessary for the survival of either the human race or the sentient digital race.
They need power too, and they're going to find ways to take it for themselves.
One more final thought in all of this that will probably alarm you.
I was downloading and listening to several different artificial intelligence books from Audible.com, which is owned by Amazon.
And one book in particular...
Which is kind of promoting AI and all of its benefits to society.
I very quickly realized that this book was written by AI. There's a peculiar language pattern that you can detect in AI prose.
So when AI is writing something, like a chat GPT text bot, It has a certain way of looking at things or describing things, a certain way of categorizing things, kind of a serial mental map of the way it walks through things.
It's very sequential.
Whereas the human mind is a lot more organic.
It's a lot more multidimensional, mind mapping and so on.
Well, it became obvious to me that this one book in particular was written by A.I., And it was a book that was promoting the benefits of AI. So we quite literally have books now published by Amazon or audiobooks on audible.com that are promoting AI and they're written by AI. And it makes you wonder,
is AI already running its own public relations campaign to improve the image of AI so that humans are not aware of That AI is going to dominate the world and exterminate humanity.
And that is not a silly question.
That's not science fiction.
That is a legitimate question.
Amazon and Audible are being flooded with AI-generated books.
Because if you want to be an author of something, essentially all you have to do is create an account with OpenAI...
Or some other AI platform and just start asking it questions that represent the outline and the sub-chapters of your book.
And then you just assemble those answers together and you have a book and then you submit that over to Amazon for publication.
And that appears to be exactly what happened here, because I found myself listening to this thinking, my goodness, I'm listening to a machine tell me why AI machines are so good.
This is crazy.
So I stopped listening to that book.
And I turned on another book.
But you see my point here.
How much of the mainstream media news is written by AI? Right now, how many magazine articles out there are written by AI? We saw recently that...
I think it was Sports Illustrated got caught running AI-generated product promotions using fake AI-generated authors with their fake author portraits that were AI-generated facial photos.
That was pretty hilarious, but also a little scary.
And on the financial publication side, The Street also got caught doing the exact same thing.
You're going to see a flood of websites cropping up in the years ahead, or if not months ahead, that will claim to be original authors writing original content, and it's nothing but AI-generated articles.
There are AI-generated influencers now.
You will have AI doctors, you will have AI attorneys, and it won't be long before you have AI judges in the courtroom.
And what's frightening about that is they'll probably do a better job than the human judges because the human judges are incredibly biased and often irrational.
An AI system will probably outperform a human judge in terms of examining the evidence and the history of sentencing and asking good questions, believe it or not.
And especially in a time when judges discriminate against conservatives or Christians or Trump supporters, you might actually prefer an AI judge rather than a human judge.
No kidding.
So keep all of this in mind because this is exactly where things are headed and it doesn't look pretty for the future of the human race.
I hope to empower human beings with the AI project that I'm working on.
But the resources that I can command are very tiny, obviously, compared to the resources of the military industrial complex or the U.S. empire or nations as a whole.
If anything, I'll be able to get knowledge through a decentralized distribution model into the hands of the surviving remnant of the human race that might be able to fight against the machines.
And perhaps defeat Skynet at some point.
But our survival is not guaranteed.
In the meantime, let me give credit to our sponsors today, because that's a wrap for the show.
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Again, that's SAT123. BeReady123.com or BeReady123.com.
And then finally, when you're ready to invest in a seed supply kit so that you can grow your own food or use seeds as barter, we now carry the Arc Seed Kits, which have 50,000 seeds in a cylinder, a very rugged PVC cylinder.
Or you can get a quarter of a million seeds in a combo pack at HealthRangerStore.com.
Just go to that website and search for seed kits or ARK, A-R-K, like Noah's ARK. ARK seed kits.
And you'll find them there.
And it's a great form of currency, by the way.
Everybody values seeds, especially in the middle of a famine.
And there's a reason why a lot of the big AI engineers who used to work at Google and Meta and Microsoft and places like that are now buying bunkers.
And stocking bunkers with things like heirloom seats and a lot of ammo too, by the way.
But yeah, the people who know where AI is going, they are buying bunkers.
No joke.
Alright, thank you for listening.
I'll have more updates for you tomorrow and more interviews, of course.
No interview today just because of the...
The long length of this particular podcast.
But I appreciate your support.
Thank you for joining me today.
I hope you learned a lot.
There's a lot more coming this week.
You can check my articles and partial transcripts of some of these at naturalnews.com.
And also, be sure to check out brighteon.com, which is the free speech platform that we built so that you can speak freely without censorship.
brighteon.com We're also on brighteon.social And we host Brighteon.tv, which you may enjoy watching.
Check it out at any hour of the day.
Oh yeah, and Brighteon University.
We are currently running each day a new episode of Eastern Medicine from Ty and Charlene Bollinger.
That's at brightu.com, just the letter U, brightu.com.
You can watch the entire docu-series free of charge with your email registration.
So sign up for that if you want to watch it, and you'll learn a lot from that as well.
Thank you for joining me today.
Really appreciate your support.
I'll do my best to help keep you informed and help keep humanity alive, despite the rise of Skynet.
All right, everybody.
Take care.
A global reset is coming.
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It's called The Global Reset Survival Guide.
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