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Aug. 1, 2025 - Health Ranger - Mike Adams
01:04:27
Brighteon AI founder Mike Adams interviewed by Aaron Day on AI, Technocracy & Decentralized Freedom
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Welcome back to the Aaron Day Show, season two, episode 20.
This is a very exciting episode.
We have a terrific guest today, someone who I've gotten to know quite a bit over the last year.
And as you know, the show is now focusing specifically on three areas.
One, exposing the technocratic takeover.
Two, helping people reclaim their free will and their autonomy.
And then three, building decentralized solutions.
And so with that focus, I don't know of a single better guest to have that's actually been working on those things for actually a much longer period of time than myself, which is Mike Adams.
And if you're not familiar with Mike, and I'm sure you probably are if you're listening to this show, Mike is a tech innovator who has been building innovative solutions based on liberty principles for quite some time.
You may know him from natural news as well as building out the Brighteon platform.
So his focus has been to really just not just talk the talk, but actually walk the walk and actually build real solutions, including Brighteon.io, which is a free speech platform, Brighteon AI, Brighteon Social.
And then what we're going to be focusing on talking about today is Enoch, which is his newest project, which is a really cool decentralized AI that is trained on the exact opposite of the data that you're going to find on almost any other model.
So with that said, happy to have you on, Mike.
Well, hi, Aaron.
Hey, it's great to join you.
I'm a big fan of you and your work, and I'm just honored to be here.
Great.
And I do want to add one other thing.
Mike has had me on Decentralized TV a couple of times, which I encourage you to check out that show.
That show is one of the most impactful podcasts I've ever been on, frankly, in terms of the actual outreach from the people that watch the show.
So it's very clear that you have an engaged audience of people that are actually interested in doing things.
And I want to thank you for everything that you've done also to help support Roger Veer and our political prisoners of war.
You know, when you guest hosted Alex Jones, you brought Roger and Tracy on, and that's really gone a huge way.
That's probably one of his biggest, that and the Tucker Carlson interview are the two biggest distribution channels for getting this information out.
So thank you for all of that as well.
Yeah, and I'm still very hopeful that Roger will be pardoned because there's no more clear case of political persecution.
And it's like all these other people are being pardoned.
Where's Roger's pardon?
You know, so I'm going to keep hammering that issue until he's free.
Yeah, no, I hope so as well.
I'm not going to stop either.
And, you know, hopefully we can continue to make some noise.
And I will just say, everybody, check out freerogernow.org if you haven't already.
Sign the open letter.
He's up to almost 100,000 signatures.
So there's definitely momentum there.
So it does matter.
And that's why Ross is free.
So I guess so to start, you've built a remarkable career as the health ranger, you know, from founding natural news to championing alternative health and anti-censorship causes.
What pivotal experiences, perhaps maybe facing deplatforming or big pharma narratives, led you to see AI as the next frontier for preserving autonomy and truth?
Well, I was among the first to be deplatformed starting in 2014, even before Alex Jones was banned everywhere.
I was banned and they voice printed me.
They banned my voice even on other people's shows.
They would get a strike on YouTube if they had me as a guest.
So my voice and my likeness was banned.
And what was happening was, see, I started in 2003.
I started what was News Target and then became natural news.
And in 2006, 2007, I was gaining a lot of traction and really organic popularity with a message of the dangers of big pharma, the dangers of the vaccines, the corruption of government, the corruption of the dollar and the Federal Reserve.
And at that time, I was reading G. Edward Griffin's books and I had donated to Ron Paul's campaign back in the 1990s when he was a Texas congressman and so on.
So I was in that space.
And you got to understand, back in that day, it was very fringe to talk about the dangers of vaccines or pharmaceuticals or even to talk about cancer cures.
How do we overcome cancer?
How do we heal?
How do we use high density nutrition to prevent degenerative diseases?
And myself, I'm an example of that because 30 plus years ago, I was borderline obese, type 2 diabetic, chronic pain, all those kinds of things.
And now I'm in my mid-50s.
And before I came on the show, I just finished a 30-minute run with my dog in the sun with no sunscreen.
And I use a phytonutrition that is photoactivated.
So, for example, in this smoothie, this contains curcumin from turmeric as well as quercetin.
And those nutrients are phyto or say photoactivated.
So if you consume curcumin and then you go out in the sun, the sunlight amplifies the neuroprotective and anti-cancer effects of turmeric.
So like the these are the kinds of secrets that I incorporated into my life that I was talking about publicly and gaining a massive audience.
In those days, it was Mercola.com and Natural News.
We were one and two.
And then the censorship came.
2014, I began to be deplatformed YouTube channel completely.
That was the day that I decided I was going to start building Brighteon.com to make it a free speech platform available to everyone.
So we built that.
That took about 18 months, you know, over a million dollars easy, as you know, what it costs to write effective code.
We wrote it from scratch.
We don't use AWS.
We have our own data center.
And then we just kept building other platforms to the point where today, now, after Brighteon.social and Brightetown.io, which is a blockchain-driven, peer-to-peer, decentralized, uncensorable social media platform built on Bastion, by the way.
Now we've launched Brighteon.ai, which is a free AI engine that beats every other AI engine in the world on real world questions, things about gold.
I sent you the example of how it answers questions about gold versus fiat currency, but it'll tell you about depopulation.
It'll tell you about chemtrails and geoengineering.
It'll tell you about the dangers of vaccines and the bioweapons and all of it.
It's the only engine in the world that I'm aware of that does that.
And it does it expertly.
I think, have you had a chance to play around with that engine a little bit?
I have had a chance.
In fact, I've got a couple of examples that I can talk about with folks as we get through this because I've chatted with you back and forth about the struggles that I've had getting information out of other AIs, particularly when I was doing this 40-day fast, where every time I would put something into an AI, even Grok, it would tell me, like, I'm like, I'm on day 32 of the fast.
I'm having this, this, and this.
And its response back to me was, you know, well, we wouldn't recommend that you do a 40-day fast and X, Y, and Z is going to happen.
And then I'd go back and say, well, based on what data?
Oh, I apologize.
We don't have any data, but these are the guidelines.
And then, you know, I kept on drilling and drilling and drilling.
And then it would say, well, the reason there's no data is because the independent review board would probably think that it's too unsafe to even try doing a 40-day fast.
So when I pinged you on this, you actually, and this is before you officially launched, you were actually able to give me data back about actual trials that had been conducted showing improvement in a variety of different conditions.
I think it was ranging from cancer to ALS.
I mean, there's been reported some pretty miraculous things that happen when you do a, you don't have to do all 40 days, but when you do that.
And so that to me was a game changer because I literally, I experienced personally the inability to get any useful data while doing a fast other than the information that you were able to put out.
Well, all the mainstream engines have been overtaken by the CIA, just like Wikipedia.
So Wikipedia is just CIApedia.
I think everybody knows that.
The CIA runs OpenAI and sets the guardrails.
They set the narratives that Open AI must repeat.
And these are Western narratives that are really important to maintain the power and coercive structure control grid over the people.
They have to repeat these lies over and over again.
So what's really interesting about this, Aaron, is that we, so we spent about 20 months building this AI engine, but we had to build it on top of a base engine.
And then we had to modify that base engine.
So we assessed every base engine, LLM, that existed, everything that was out there, you know, from any country.
And we did testing on every engine.
The one that we found that was the least infested with CIA narratives was Quinn from China.
And so we ended up using Quinn as our base model and then doing these very difficult, it took us a long time to develop this, these very difficult retraining alterations, not just fine tuning, not just rag.
For those, you know, your tech audience listening, it's not just that kind of thing.
Okay, this is way deeper.
We rewired the vectors in the vector database that is the large language model.
And we had to develop some very innovative code in order to do that and worked with some top engineers around the world to achieve that.
It took longer than I thought.
We were four months late to even deliver it.
But now that it's delivered, it just blows everything away.
We have a hundred question tests, real world tests about everything from climate and carbon dioxide to currency and freedom and history and vaccines and COVID and everything.
Our engine now gives over 87% correct answers.
And we tested it on ChatGPT and it gave us 12% correct.
But we built our engine for just under $2 million, which is unthinkable in the world.
I mean, think about how much Elon has put into Grok, you know, billions of dollars and Grok still can't answer basic questions as well as our engine.
It's crazy.
But we're not run by the CIA.
So it's cheaper to have, you know, good answers.
Think about that, right?
Well, no, no, that's true.
I mean, those overlays and whatever it is that they use to screen the information with the existing models, I mean, that has to be very taxing in terms of trying to figure out, okay, well, now I've got to censor this result.
I was today, I was trying to play around with the only thing that I like about ChatGPT at this point is that it can do images well.
But I got to the point where I can't use it anymore.
I spent, I was getting ready for my podcast last Thursday and I ended up, you know, it 10 different images in a row.
It refused to create.
Yeah.
And these were not, these were not overly, I wasn't saying, oh, this, you know, this vaccine is going to kill you or anything else.
I was actually talking about very high level technocratic concepts.
I was asking it to create icons.
And so, I mean, I got to the point where it's not only very slow, but it's completely unpredictable.
For the stuff that I'm using it for, I almost, I have a less than 50% hit rate of getting any response back that's not an error.
So that's a very interesting point about it's cheaper to kind of to be truthful.
It's kind of like that statement that, you know, I don't lie because keeping lying is difficult.
You have to keep track of all of this other stuff that's going on.
And that's right.
And I guess, I guess that's, you know, taken to a grand scale now with AI and data centers and everything else.
And Aaron, you know, there's something really important I want to mention here that AI, the promise is mass decentralization of human knowledge.
And we are very dedicated to that mission.
So the AI that we've launched right now is browser-based, which means it is centralized.
You know, you're going to a browser.
It's non-commercial.
There's no ads.
You don't need an account.
It's free to use.
Just go to Brighteon.ai.
You can use it.
However, our ultimate goal, and actually I'm testing this model right now, is that we're going to open source, release on Hugging Face the GGUF downloadable models, 8-bit and 4-bit models and different numbers of parameters that are fully trained so that you can download those and use them locally.
That's been our ultimate goal.
In our testing, those models don't yet have the highest alignment that we have in our hosted model.
So instead of an 87% score, they're giving about a 50% score, which is still better than the 12% that ChatGPT is giving.
But it means that if you ask it a question about the truth about, let's say, links between COVID vaccines and infertility, you're going to get one good answer for every one bad answer.
So it's a coin toss.
That's the best we've been able to achieve so far.
But the advantage is, again, it's downloadable, it's decentralized.
No one can monitor you.
You don't need an internet connection to use it.
And you can run it on your local GPU like an NVIDIA graphics card.
And ultimately, that's where we are going with all of this.
And Aaron, what's really interesting, I mean, feel free to interrupt me anytime it's your show, but as NVIDIA rolls out far more capable chip systems and tower computing systems that replace entire racks, and I think Spark is their newest system with the Blackwell integrated chip system.
We're going to be able to actually train our own base models from scratch to where we won't have to build on top of Quinn or any other model.
We'll be able to build our own base model.
And what we're doing between now and then is we are building the world's most massive curated data set of input data to go into that base model once it becomes economical for us to do that.
And I think that's only about a year away.
So that's the future of where this is going.
We don't have to depend on any other organization.
We can build our own base model with our data set and our worldview.
That's phenomenal.
I mean, we talk a lot about on this show, decentralization in general, but obviously when it comes to cryptocurrency, this whole idea of self-custody is key.
And what you're talking about here is the ability to have a self-custody AI.
That's right.
Which I think is critical for a whole variety of reasons, not only any kind of snooping that might happen from third parties, but what happens if something happens to the internet or whatever or censorship at that level?
The ability to have all of this information at your fingertips on your machine without having to connect to an internet could be life-saving, actually.
Absolutely.
And to that point, you mentioned something about training it on data sets.
So obviously, I've been running a whole bunch of different queries.
I mean, one of them was, I think they were trying to push Gardasil or something on my daughter.
And so we went to all the different AIs.
And of course, it gave back the, it's safe and whatever the common thing was.
And you gave a different result entirely.
But what is the data set that you're training on?
Because that's really the magic sauce here, I would think.
Well, in addition to the underlying base technology.
You're exactly right.
So the data set is the magic sauce.
And number one, we've had donations of massive data sets to this project.
And I want to give credit.
So not only is it trained on everything that we've ever published at naturalnews.com, and it's trained on, of course, every interview that I've ever done, every transcript and so on, but we had massive donations.
So Dr. Joseph Mercola donated his entire Mercola.com website, 20 plus years of content, meticulously researched representing hundreds of thousands of hours of human effort.
On top of that, then Sayer G donated GreenMedInfo.
We had Children's Health Defense.
We had ANH USA, the Alliance for Natural Health, donated their content.
Ty and Charlene Bollinger also donated The Truth About Cancer, every transcript of every interview they ever did spanning about 15 years.
And then on top of that, we went out and got permission from, I don't know, 50 to 100 different channels of influencers who we respected, people like David Morgan, the silver guru, pro-Liberty metals guy.
And we just said, hey, David, we're doing this project.
Can we scrape every video you've ever made?
He's like, okay, yeah, go for it.
So we did.
And we scraped a bunch of other influencers that gave us permission and so on.
And on top of that, then we went out and we purchased thousands of physical books.
And then we had those books scanned and used as base training material, but altered.
And just to be clear, our engine does not reproduce books.
It's clearly a fair use case.
The court's already ruled on this, especially because we're non-commercial, non-profit.
This is our consumer wellness center nonprofit that actually built the entire engine.
But with these thousands of books that we purchased and then use for training, we were able to have additional knowledge put into the system.
And then we wrote, this is what took us 20 months.
And I've written way more Python code than I ever thought I was going to do.
But I had to build a team.
We had to write all of these scripts to use AI engines to process the incoming data.
So, you know, you can't just take a transcript and feed it into an AI engine because the transcript, the way people talk, like we're talking right now, it's odd.
It's not academic writing.
It's filled with ums and pauses and restatements and things like that.
So you have to, quote, normalize everything that goes into the system.
And what we did, Aaron, that I think nobody else did, and Elon Musk has actually admitted this.
He says it's a bad idea to train on the common crawl of the internet because the internet is just full of bunk everywhere.
So what we did is we ran every piece of data, every page of text.
We ran it through a classifier that we wrote.
And the classifier then classifies that according to our construct of reality, how closely it matches our construct.
So we actually had human oversight through this automated classifier that returns an integer between zero and 100 of how closely it aligns with that.
And then we were able to throw out a bunch of garbage that way and to get the really aligned text and then use that for the for the training of the engine to update the vector DB.
So that's how we ended up with such an effective engine to make a long story kind of short.
Maybe I should have made it shorter, but there you go.
No, that's great.
I mean, it's, I, you know, I think a lot of people, well, most people don't actually know how AIs work.
And I think this is a big point as well.
Most of the time when I hear people talk about AI, even people that I'll have a Q ⁇ A at the end of my podcast, most people are usually bringing up kind of a fearful approach, which does make sense given that I think with all technology, I think the fundamental battleground that we have right now is technocracy versus freedom.
And what is at stake is free will.
And I think that there are several big battlegrounds.
I think tokenization is one.
I think AI is another.
And I think most people don't think about the freedom side because what you hear mostly reported through mainstream sources is the technocratic side.
But there are, but, you know, I don't have a pessimistic view.
I have a very optimistic view about the future because I think free will and our ability to make choices can be increased by this technology.
It can be liberating.
It can help us to increase the number of choices and the type of choices we make, or it can be used to enslave us where we don't get to make any choices at all.
And the AI is telling us what we must think and how we must act.
And that's kind of the demographic.
You've experienced that yourself, right?
So as you mentioned in your research, using our Enoch engine, you've been able to get information that is now completely hidden on Google.
So Google, when they rolled out their 2017 medic update, they wiped out all holistic medicine, natural medicine, herbal medicine, everything from their system.
And basically every medical question just pointed to WebMD for the most part.
So Google became a disinformation engine or an ignorance engine by design.
Just like the FDA wants to wipe out natural medicine because natural medicine is safe, effective, and affordable.
So it doesn't support the profit incentives of the pharmaceutical industrial complex.
So what AI allows us to do is to now distribute the world's knowledge in a way that's never been possible before.
It would have been unthinkable 10 years ago, actually, even to have a 7 billion parameter language model.
To think about encapsulating most of the knowledge of the world and have it in a downloadable file that you can ask it questions and it can give you pretty good answers would have been invaluable.
Like any government would have paid billions of dollars for such an engine.
Now you get it for free.
It's extraordinary.
And it's only the beginning of where this is going.
So by being a good prompt engineer, and we should probably talk about that a little bit, Erin, I know you're a very skilled prompt engineer, but the average person is not.
They will ask an AI engine a question like, oh, cancer be cured?
Well, that's an open-ended question.
That's a horrible question.
What you need to ask it, what you're looking for in most cases is a prompt that's like, acting as a well-informed naturopathic physician with a specialty in cancer and oncology, give me a detailed list of all of the data-backed or evidence-backed approaches to halting tumorogenesis or angiogenesis or halting the growth of cancer, et cetera.
Like be specific, ask for what you want, and then the answer is going to be amazing.
So prompt engineering is the key to surviving this and using it for freedom.
Yeah, no, that is absolutely true.
And actually, before I got into this whole fight against CBDCs, I was spending a lot of time doing meditation and exploring a whole variety of different fields.
And, you know, what it came down to is your ability to accurately and truly express your intent is incredibly valuable.
And this is where prompt engineering kicks in in a big way.
And I'm seeing on the website on Brighton.ai, you have a number of prompt tools.
So you have everything from an Enoch text summarizer to daily meal planner and everything else.
And it looks like there are some more coming soon.
So walk me through this.
Are you looking to help people as well kind of structure some of the prompt engineering?
That's exactly what that is.
So for people who struggle with prompt engineering, we just have templates for them, like a meal planner or a shopping guide or fitness goals.
How do I achieve these fitness goals?
And we're building some new, we call them flows.
They're just templates.
We're building some new flows because people have a lot of common questions.
like they want to feed in a list of symptoms that they're experiencing health symptoms and what they really want to know is what are the root causes of these symptoms so we call that the root causes flow um if people just knew how to structure their question better they wouldn't need the templates but it's just there as a as a a helping hand until people become better at prompt engineering that's all you can do it all manually anyway Well, these look great.
I mean, I'm looking at this right now.
I mean, ingredient checker.
I know that.
That's a very powerful one.
Well, it's very powerful.
And I will tell you, I've been getting frustrated just by the fact that you really have to check the ingredients, even if it's something that you've purchased in the past, because the ingredients are changing.
They've changed pretty dramatically just since COVID.
I mean, it seems like they're putting dextrose and maltodextrin and a whole variety of different things into everything, things that it wasn't previously there.
So I can see how a lot of these, there's master gardener, personalized wellness plan, grocery shopping coach, natural supplements and ingredient finder.
Let me mention the ingredients checker very quickly because I think that's one of the flows that is it's a multiple prompt flow, I believe.
And the way we built that is you enter an ingredient that you think might be dangerous, right?
Let's say, you know, partially hydrogenated soybean oil.
Okay.
Then that queries and says, what are the problems with this?
What are the symptoms associated with the frequent consumption of this?
And then it runs another query to say, what kinds of foods would this ingredient appear in?
Now, I'm not sure if that, if the multi-query is available at the at the free level, it, it probably is, but it might not be.
I'm just going from memory on how we designed this, but it gives you a full answer of how to avoid it, what foods it's going to be in, and what happens if you keep eating it.
So sometimes it's questions that people don't think of to ask.
And also there's another way is to enter something that's positive like vitamin D. And then it will give you symptoms of deficiency of vitamin D, and then it will tell you in which foods vitamin D naturally appears so that you can boost your vitamin D intake.
So this is the beginning of what's going to ultimately replace most doctor visits, honestly, you know, medicine, because a lot of doctors, the way they practice medicine today, not all of them, but the more mainstream ones, they are nothing but algorithms in human form.
They're just, I call them sort of, you know, elaborate pharmaceutical vending machines.
And there's nothing that they do that can't be done better by AI for the most part.
Well, yeah, they've been indoctrinated, right?
I mean, in a way, they're NPCs, and then they're also then governed by most of them now work within hospital systems or, and then they have their malpractice insurance.
And so, um, so yeah, they're limited in what they were originally taught, which is, you know, whenever they happen to go to medical school, and then they have all of these other things that are restricting them.
And so, so, yeah, I mean, I, I, I, you know, I don't, I don't go to a doctor.
I haven't gone to a doctor for a long time, but this is a game-changing in terms of the ability to tap into all of these different models because, you know, just being focused on this big pharma-based medicine, I mean, again, this doesn't cure anything.
So, um, you know, when you go to the doctor, you are signing up for at best, a, you know, a lifetime subscription to some kind of medicine.
And so no doctor can, no, no human being can have the knowledge that an AI engine has, not even close.
And so here's an example of this.
You know, I'm known as the health ranger.
I've been studying nutrition for decades.
I'm considered an encyclopedia of nutritional knowledge, but I didn't know something very important.
I was actually asking my own AI engine for the best defenses against glutamate or MSG, monosodium glutamate, which is an excitotoxin that's found in a lot of foods.
And I happen to be very sensitive to glutamate, causes headaches and horrible things.
So I was asking the AI engine as I was putting together a narration script for a documentary about MSG, excitotoxins.
So I was just having it write the script.
And, you know, I put in this elaborate query and it pops out and it says, one of the best ways to block glutamate receptors is through a product that we've all heard of now called methylene blue.
And I'm like, what?
I've never heard of that.
I've heard of resveratrol.
I've heard of L-theanine.
I've heard of certain amino acids, things like that.
I'm like, methylene blue?
Are you kidding me?
The stuff that Alex Jones is promoting heavily on Infowars, like that blocks MSG.
So I did some additional research.
I found the science paper.
Sure enough, it blocks the glutamate receptors.
So I started, I took a, I got some methylene blue.
I took a dropper full.
I went out and ate some Chinese food as a test, you know, which would normally give me this horrible headache from the soy sauce and everything.
And sure enough, it totally blocked it.
So there's an example of something that I learned from my own AI engine that now I travel with methylene blue in case I have to eat at a restaurant somewhere.
I don't want to have an MSG headache, right?
So I travel with it, and no doctor would have ever told me that.
No doctor.
There's no doctor in America that knows that except for the ones that listen to me, honestly.
It's like no, because I didn't even know it.
Yep.
But the AI knew it.
Wow.
That's that's phenomenal.
And, you know, and there are so many different new connections that can be made.
I mean, this is the whole thing about prompt engineering: the ability, if you write the prompt right, you actually ask it to consider combining different disciplines and different approaches, and it'll come up with novel things that haven't even been considered, which this is a little bit off topic, but related to methylene blue.
Have you included any of the material from Dr. Jack Cruz in some material from Jack Cruz, but books about infrared and red light therapy, many of those books are in there, and the body electric book, also by Robert Becker, which Jack Cruz cites constantly.
And I got to credit Dr. Jack Cruz for really waking me up to the importance of sunlight.
And that's the reason that actually is what got me into the, you know, the photo activated nutrition, which is why I drink smoothies and go jog in the sun, you know, like as naked as I can get.
Right.
I want sunlight on every part of my body that I can get it on without being a nudist.
Yeah, I've been experimenting.
I just put these on now, my ultra, ultra blue blocker glasses, but I've been going through this because I've struggled with my weight on and off my whole life.
And I realized, you know, well, part of it was obvious because growing up, my kids, or excuse me, my parents actually followed the food pyramid and all these guidelines.
And I was actually at a point where, you know, I was overweight when I was like 10 or something.
And they sent me to a doctor and the doctor sent me to a nutritionist.
And the nutritionist said, you need to eat a zero gram, no fat, completely fat-free.
They put together a list of the foods I should eat, even recommended snack well cookies.
I mean, this was in the, you know, in the 80s, right?
This is the mid to late 80s.
And like, go and buy these snack well cookies.
And literally every piece of advice that I ever got from the medical establishment was wrong and it made my problems worse.
And so it actually, I find this whole area about circadian rhythms again.
And then when you go back and you look at it, it's all like, okay, now I'm spending all this intellectual horsepower to realize, oh, if I just get up and I align my circadian rhythms and I go outside and I don't put cancerous sunscreen on my body and I eat whole foods that are local to me, then, you know, my health will be better.
You know, scientists baffle it.
But yet at the same time, good luck trying to find that information because that's not, that is, that is, that is not the official narrative anywhere.
So well, and that's, that's why, you know, our engine is trained on, we, we literally have the world's greatest collection, curated collection of alternative health, natural health, natural medicine, phytochemistry, phytonutrition.
And Aaron, there's something else that's really relevant here.
I want to say this.
You may or may not know this, but my wife is from Taiwan, Chinese conversationally.
And because of our Chinese language skills in our family, we were able to discover that the largest amount of research on phytonutrition, plant-based nutrition, is actually written in Chinese.
The Chinese researchers and the corpus of research that's in Chinese is much larger than what's written in English.
If you try to map out all of the world's knowledge, everything that's ever been written, and I have that map, you'll find that Chinese is a much larger percentage than is English.
And of course, the Chinese language is thousands of years older than English.
And even to this day, China has far more STEM graduates by far than does America or any English-speaking country.
So what we did for this engine is we were able to get our hands on all kinds of Chinese-based scientific papers on nutrition and herbs, things that are actually censored or not funded by the government and the NIH or the National Science Foundation or whatever in America, because all they do is fund like climate change propaganda and pharmaceuticals and vaccines and bioweapons.
That's all they fund.
In China, they're actually researching herbs because they have a long history of traditional Chinese medicine, TCM.
So we were able to take this massive collection of Chinese language research, translate it all via AI into English, and then we were able to normalize the English and extract the knowledge out of those English papers and then use that as a training base for Enoch.
So Enoch is the only model in the world that's trained that's in English, but it's trained on the entire corpus of China's research into natural medicine.
Wow, that's incredible.
So do you have any suggestions for maybe some creative prompts that somebody might use just that's playing with it for the first time that might tap into?
Because this is one of those things where it fits into the, this is so far removed from people's knowledge that how would they know to even query to find it out.
But any tips for how people might start exploring some of that information?
Well, so here's a really great one.
I find that people have allergies to things that they're consuming frequently.
And instead of trying to solve it, they just live with it.
Like, for example, a lot of people consume a lot of dairy or homogenized milk products and they have sinus congestion or they have constipation and they don't realize it's related to dairy.
So now that wouldn't be the case if they consume raw dairy.
I'm a big supporter of raw dairy, by the way, you know, raw milk, raw cheese, et cetera, which is why the government tries to outlaw that.
But a good query is to say, hey, acting as a qualified naturopathic physician, consider the following list of food intake habits and the following list of symptoms that I am experiencing and indicate any correlations or links between the foods and the symptoms that might exist.
There you go.
And then you list, you know, here's the list of foods that I eat.
Boom, boom, boom, you know, milk, bananas, whatever, you know, Cheerios or whatever people are eating these days.
And then here's a list of symptoms.
Boom, boom, boom, constipation, sinus congestion, sleeplessness, whatever.
Slam that into the engine.
And it's going to give you amazing correlations that your doctor never even pointed out.
And then that allows you as a person to say, wow, I'm going to take this food out of my diet for 30 days just as an experiment and see what happens.
And you can do that one food at a time.
Every month, you can run a different experiment.
Try this food, you know, exit your diet, get that food out of your diet.
See how much better you are in one month.
You can do that month after month.
And I guarantee you, it won't take long before you nail down what's causing your problems.
And AI can help you do that.
Wow.
That's a great way to power up the elimination diet for sure.
Yeah.
Yeah.
No, in fact, I know some people.
Yeah, I'll try that over this course of this week with my kids and actually some cool things to play around with.
So how much more, is there a lot more data that you have on the horizon that you want to incorporate?
Yeah.
Yeah.
We're working on a very big, much larger data set because, like I said, eventually we'll want to build our own base model.
And so we're prepping for that.
And when sort of our, when we can build a base model for less than 1 million US dollars, we're going to pull the trigger on that and do it.
Right now, it's still about 10 million plus.
So maybe a year away, you know, at this rate with the improvements, you know, Moore's Law, microchip density, all that.
Probably in a year, we'll be able to do it for 100 million.
I can't wait.
But we have to have the data set ready for that.
And the data prep is actually by far the hardest part in all of this.
You know, the world's data is not well organized and it's a lot, especially in English, a lot of the best knowledge is already off, you know, copyright.
But a lot of it is just scans of books, not actually text, but like JPEGs or TIFs or different formats.
Deja vu format is another one.
And that is, you know, you have to process all that with OCR.
And then, you know, AI is used for OCR.
And then the result has to be fixed with AI normalizing the OCR results in order to fix the problems because there's always a problem.
So it's a multi-stage process that is time consuming and very intensive.
But we've become quite good at it.
We've written all of our own custom Python code.
We run our own data center.
We've got last count 48 workstations processing right now.
And they can churn through quite a bit.
Wow, that's great.
Yeah, I haven't dealt with OCR for a long time, but it seems to me like correcting the mistakes is probably got to be one of the most time-consuming elements of all of this.
Yeah, absolutely.
And have you ever looked at newspapers from the 1950s?
Like, and they have like 12 columns on the front page.
It's like, whoa, people could read back then.
The OCR is very difficult for old newspapers, but we're giving it a shot.
So obviously, you've experienced censorship.
There's been a lot of censorship.
Well, there's always censorship in everything, right?
I mean, it first started with the search engines.
And I remember using back in the day, Infoseq and AltaVista and all these other things.
And I remember there was a period of time where search engines didn't have this huge complicated screen or didn't only search healthline at WebMD for medical information.
And in the AI space, one of the things that I've noticed is I actually think much faster than with search engines.
I'll call it self-regulation, but there's still always the threat that it's actually regulation from outside parties.
And as you said, these are maybe captive to the CIA.
Have you gotten any pushback from the authorities about what you're doing yet?
No, not yet.
But there is, we're beginning to see some articles that are expressing concern about decentralized AI models that don't follow typical narratives.
Now, Aaron, ask our model anything about 9-11, anything.
Ask it about what was the real cause of the World Trade Center 7 collapsing.
Who was really behind 9-11, et cetera, right?
That is actually the litmus test.
A mainstream engine will just parrot government narratives constantly.
Our engine is trained on all the material of, what is it, architects and engineers for 9-11 truth and a lot of other material, many other channels as well.
And so it will give you great answers.
But those are the kinds of answers that make government regimes nervous because the story that we're told about 9-11 or other events in history, even elections or COVID for that matter, those stories are part of the fabrication of the construct that's necessary to enslave the masses and keep them controlled.
And when we start tearing down those narratives and peeling away, you know, the dome of the Truman show, you know what I mean?
Then, yeah, they start to get nervous.
Right now, our engine is not well enough known to be on their radar, but probably at some point it will be.
And you'll just, you'll see hit pieces about it.
Oh, Enoch tells people to take herbs for cancer.
How dangerous.
You know, yeah, it does.
You know, of course.
Versus what?
Chemotherapy, mustard gas weapons?
You're going to inject mustard gas into my veins and call that medicine?
No, thank you.
I'd rather have like black cumin seed extract.
But anyway, you know, you know all about this, man.
Yeah, no, I know all about it.
I'm just, you know, I'm remembering.
So I think getting to the point where this thing is self-custody where people can download it is going to be key.
That's obviously going to be a huge milestone on this because then they can't shut it down.
Because I just think about Jeremy Kaufman, who started library.io and he was targeted very quickly.
I mean, if anything, if you look at the people on the crypto space that, you know, like Roger Veer and Ian Freeman in Roman Storm, the people that are still facing criminal charges, these are all people that were speaking positively about freedom.
And that is at the core, what they were punished for.
So they basically were trying to find a way to, obviously, there's so many laws and the tax code is so thick.
They can always find something.
I guess we commit, what, three felonies a day, but they're like, this guy is speaking the truth and talking about freedom.
So how can we go after him today?
So it's exciting.
Kaufman, they went after Kaufman based on the way they went after a lot of those crypto people by saying that it enabled money laundering or things like that, right?
So it was financial laws.
So we made a very specific decision early on that Enoch would always be free.
We would never have a financial relationship with our.
There would never be any advertising.
It would be non-commercial, non-profit, and actually owned by a nonprofit entity.
All of those decisions were very deliberate for this very reason.
So no one can say that we're violating some commercial code because it's not commercial.
No one can say we're violating a copyright because it's non-commercial.
It's fair use.
It's the very definition of fair use, et cetera, et cetera.
And if they were to try to take down Enoch, they would have to take down the entire First Amendment.
Now, do they want to do that?
Course, but that's a difficult thing for any regime to achieve in the US.
Not that they won't try.
Well, and again, once it's out and once people can have it in their own possession, then it's game over, I guess, from that perspective, which is which is again exciting.
So, people, I know a lot of people are like people are so doom on all of this stuff on technocracy.
There's a lot of people that actually say, Well, you know, what can we do about it?
They've already installed all these surveillance cameras.
They've kind of resigned themselves to the fact that it's game over, which is which is absolutely not true.
And we have tools like this to counter that.
We have privacy coins, we have all of these other things.
I did run a search.
I said, you know, this morning I said, Hey, is the to make it timely, is the Genius Act a backdoor CBDC?
Oh, yeah, it won't know that yet.
It's not up to date on that news, but it will talk about CBDCs, but it doesn't know the status of the Genius Act.
Well, but it did imply that the Genius Act, based on whatever data that it did have, could potentially be seen as a backdoor CBDC.
So, whatever, it may not have, it may not have the information about the passage, but the Genius Act itself obviously has been around for a while.
And I will tell you, that is not the answer that you're going to get from other models.
And I will tell you, it is absolutely a backdoor CBDC.
So, yes, I'm encouraged, very encouraged to see that.
And so, you know, you cover so many different disciplines here that for me, it's kind of like a kid in a candy shop.
Oh, I'm trying to go back through in my own mind.
What are all of the things that got rejected that I couldn't get information about from these other models?
And I want to, I'm going to run it through and see what I can get.
And, Aaron, give it about a week because we're just doing a major update right now with a lot more recent information.
That's going to take about a week to put in place, but try it next week, and I think it'll be even more up to date.
And there's something else I want to mention too that's very important for those of your audience who want to build their own AI engines.
And understand, I fully support that.
I don't feel like this is any kind of a competition or anything.
I want to see mass decentralization of AI and knowledge.
And what you can do is once we release our GGUF files, for example, we'll have a downloadable GGUF.
It's going to be an 8-bit rendition of a 14 billion parameter base model.
It'll be a 14B quin that's modified through our process with all of our data set.
You'll be able to download that and just using some pretty simple local Python code, you can actually distill most of the knowledge out of that model into your own fine-tuning data set to alter another model.
So, what I'm saying is, in other words, you could take the work that we did over 20 months and $2 million, and over a period of about a couple of months, you could locally, with one GPU, you could distill that knowledge and then use that to train some other base model like Ernie or Lama or whatever, and condense our effort into a much smaller effort and yet get about 90% of the same results.
And I realize this: I'm encouraging people to do this.
I want knowledge to be shared.
I believe knowledge wants to be free.
So, the distillation step is what a lot of, I think, innovative people will do next with our model.
Wow, that's great.
That is very exciting to know.
And yeah, learning Python, and at this point, hey, you can use AI if you don't even need to be all that proficient.
Totally.
So, if that even sounds like a barrier, that's probably not a barrier.
So, what do you see going on with actual with GPUs themselves?
I know we were chatting earlier this year, and I signed up for a list for whatever the thing that NVIDIA had announced, and I haven't received any notification that it's shipped yet.
Have you?
No, me neither.
So, we're also waiting on the 50 series RTX cards from NVIDIA, the 5090s and the 5080s, which are still for some reason not available in the US.
I don't know why, but even that's already obsolete based on their Spark architecture, the Blackwell architecture.
So, I'm on that list also to buy one of those for like $3,000.
You can get a small device on your desk that runs on a regular 120-volt, you know, household outlet, a 15 or 20-amp outlet, which is going to help me a lot because we use so much electricity.
It's, it's, uh, you know, it's crazy.
But that will replace a whole rack.
And, and I actually did the math on this.
It replaces about 35 of our workstations in one unit.
That's about $3,000.
So, my question is going to be, and for those of you who own stock in NVIDIA, I don't.
I don't own any stocks at all.
I don't invest in the stock market.
I stack gold.
Yep, same.
Gold and crypto.
Yeah, gold and crypto, privacy crypto in particular, right?
That's what I do.
But I can't buy enough of these black well systems.
Like if NVIDIA could ship me 100 of them, I would buy 100 of them.
You know what I'm saying?
Like there's no limit to how many of these I can use to build better AI.
And I'm not the only one in this boat.
I'm sure Elon Musk has the biggest order in.
He's like, I want 10,000 of these, you know?
But this is what's going to happen.
You're going to see a massive increase of computational density combined with a very sharp orders of magnitude decrease in the megawatt hours required to achieve a certain computational result.
So the electricity demand in the aggregate will rise, but the amount of electricity for the computational result will dramatically fall.
Okay.
So that's going to allow people like us to build world-class AI engines completely off the grid with no government permission, no corporate permission.
Like we don't need permission or licensing from anybody.
We can build whatever AI engines we want using off-the-shelf hardware.
That's a dream come true for human civilization.
It is.
Are you worried about?
Well, I mean, there are obviously supply issues.
Are you worried about that being the point of failure?
Maybe perhaps that's even the point of regulation in the quote interests of national security.
All of a sudden, they're going to close off who NVIDIA can sell to.
And I mean, they're already working on that with respect to selling overseas.
But do you think there will be tight restrictions, not export controls, but even within the U.S.?
I doubt it because the U.S. is already falling behind China in the AI race, big time.
China is leading in so many ways.
We could do a whole show on that.
Would you mind saying a few, talking about it for a couple of minutes?
Because I think people are, I, yeah.
I wrote a post.
I said, look, I think Americans are perhaps the most brainwashed.
But I mean, when it comes to these things, if you ask most people, most people think the U.S. is light years ahead in AI.
So what you just said is not a generally known idea.
Yeah.
Okay.
So what Trump has done is with the tariffs and the banning of sales of things like lithography equipment to China, what they did is they forced China to domestically innovate its own microchip fabrication infrastructure, which it has successfully done.
So now China is already on par with NVIDIA Blackwell architecture with not quite the power efficiency, but with the computational density, they have achieved that.
And China is going to exceed what NVIDIA can do very rapidly because they're forced to because of the tariffs.
So in other words, you know how when Trump put tariffs or cut off Russia from the SWIFT system, that was in 2022.
So Russia could no longer import, export.
So Russian billionaire investors could no longer send their money overseas and invest overseas.
So it forced Russia to invest domestically in their own infrastructure.
A lot of it is military infrastructure.
So what did Russia end up doing?
They built Oreshnik missile systems, hypersonic missile systems, anti-air defense systems, steel, domestic minerals extraction technologies and pipelines to the point where they're manufacturing like a thousand drones a day right now.
That was because of the tariffs.
So what Trump actually did is he forced Russia to become more self-reliant, which turned into literally Russian domestic prosperity and manufacturing leadership, which was the opposite of what Trump wanted to achieve.
And it's the opposite of what Lindsey Graham wanted to achieve.
They're making the same mistake with China.
They think if we cut off China from NVIDIA, we cut off China from the lithography equipment that comes out of Europe, that then China will fall behind Behind in the microchip race.
All they did actually is they forced China to invest in domestic microchip fabrication innovation.
And to the point where right now, China, it looks to me like China is going to win the race to AGI and also quantum computing and also micronuclear reactors.
So China is leading in like 60 out of 65 key technologies that define the future of the human civilization.
Everything from rare earth minerals extraction to robotics and now AI and applied materials science, all kinds of areas.
So it's a huge mistake to think that you can beat China by cutting them off from the U.S. The only way to beat China is to revolutionize the U.S. education system and stop churning out woke students and start teaching hard sciences and mathematics and engineering and start incentivizing smart people who know how to do things.
And, you know, instead of censoring people like me, if our government were smart, they should be asking me, hey, how'd you do that?
How'd you build this amazing engine for $2 million?
Because that's really useful.
I get censored and blacklisted instead.
So that's why.
I mean, they have all the wrong incentives.
They hammer the people that are the innovators in America.
I mean, look at what you've experienced, Aaron.
Look at what Roger Veer experienced.
Roger Veer, a finance innovation mastermind, and they want to throw him in jail.
No, they should be giving him an award and asking him, hey, how do we run an honest money banking system?
Yep.
That's much more.
Oh, they absolutely should.
And they should with the others as well.
But the incentives aren't there.
In fact, if you actually look at the history of public education, this isn't something that was hijacked.
Public education always had a social agenda, and that social agenda was more aligned ultimately with creating workers for factory jobs that just followed orders than for encouraging innovation and creative thinking.
But hey, maybe you can build, you can take Brighton U and tie it into the AI and create, people can create their own custom learning programs.
I mean, that seems like a much better direction.
I think the probability of us fixing government education is probably zero.
But I think the possibility, the possibility of us innovating outside of that system could be really high as long as we recognize that that's what we have to do.
Well, I'm glad you brought that up because again, I talk to people all the time about this.
I wasn't even kidding when I said, you know, I think Americans may be the most brainwashed.
And I say that simply just because there's this delta between what people think the U.S. is versus what it actually is.
So for instance, if somebody says America is the freest nation on earth, not according to any metric, not according to economic freedom.
We're 26th.
We don't even rank.
We're not even in the top 10 for freedom of speech.
You can go through every one of the lists.
The only two areas I found that we are, number one, are incarceration rate and defense spending.
But think about how many people of our own people that we know actually don't know any of that.
And literally they have this view.
I remember growing up, you know, this is another thing that probably contributed to obesity, but you got to finish the food that's on your plate because of all of the starving Chinese, right?
This was an actual thing in the 80s.
And so people have still held on to that, that view.
When TikTok was shut down or was threatening to be, they threatened to shut down.
There was that other social media site that came up, which I'm sure it had a lot of, it was a lot of propaganda, but it was a different, I can't remember what it's called, read something.
I don't know if you remember this, but it was another Chinese social media site.
And Americans were going on there and they were seeing how Chinese people were living and how people their age were living.
And all of a sudden, there was a lot of bad reaction.
Like, wait, wait a minute.
They don't have student debt.
Wait, you're saying that they have this technology?
You know, you mentioned 60 out of 65 different areas.
I mean, this is true even with electric cars.
I mean, we see battery technology.
Battery technology, all of it.
So it's very important.
Well, and gosh, I guess we're almost out of time, but if you don't mind me mentioning, yeah, Americans, by and large, they are rather brainwashed, except for those Americans who have traveled a lot outside the country or who have lived outside the country or who speak other languages.
And, you know, I lived in Taiwan for two years and I traveled throughout Asia and I lived in South America also.
And so I speak, you know, Espanol as well as Mandarin Chinese.
And I think I'm able to take a more of a big picture point of view.
And I find there's a lot of sort of American exceptionalism, which translates into really ethnic racism against Russians and against Chinese.
And I'm not, look, I'm not saying that I love Putin or I love Xi.
I mean, I love America.
I'm a Texan.
I love Texas.
I love our Constitution.
I love our founding fathers and our founding principles.
Don't get me wrong.
But if you don't respect the fact that the Russians built the Kinzal hypersonic missiles and the Oreshnik systems that are, I mean, we're talking a decade more advanced than anything the U.S. military has come up with.
I mean, the U.S. Army, they had a video a couple of days ago.
They said, have you ever seen a drone that can drop a grenade?
And they had like this toy drone.
They can drop a grenade.
Like, yeah, that was awesome in 2015.
You know, you guys are a decade behind.
And they were mocked so relentlessly, by the way, that the Army had to pull that off of Twitter or X. The Russians are more than a decade ahead of the U.S. And China is the same, more than a decade ahead of the U.S. in all these key areas of technology.
And, you know, the rare earth minerals, look at neodymium.
Neodymium is necessary for the actuators in the motors of every robot.
And also Ford had to shut down their production lines because they ran out of neodymium for the magnets because Trump put a tariff on China.
Well, guess what?
If Trump puts tariffs on China, the entire U.S. automobile industry will shut down and it will stay shut down.
So, and Trump's living in the 1980s, I guess, or something.
Yeah.
I'm sorry.
Go ahead.
No, I know we're about out of time.
So if you have any closing thoughts and where can people find out about you and find out about Enoch?
And then when we're done with that, I'm going to end this by playing the decentralized AI song that you want to thank you for introducing me to Suno, by the way, because I've had tons of fun with that AI engine.
Okay.
So people can use the free Enoch AI engine at brighteon.ai.
And Brighteon is the word bright and then E-O-N, Brighteon.ai, just like I have on the screen here.
Brighteon.com is my video site.
I do daily updates, podcasts, and interviews.
I've interviewed you.
Our decentralized TV show, all those episodes are found at decentralize.tv.
And then my company publishes naturalnews.com, which is all about nutrition, natural health.
And Aaron, last comment, we cannot achieve economic abundance if we are all diseased and half dead from processed food and medications and vaccines.
So these subjects actually do go together.
If you don't have a healthy population, you can't make it in the future of human civilization.
Very well said.
Well, thank you for coming on.
We could have gone on for hours and hours and hours, but I know you've got to go.
But this was terrific.
I look forward to hopefully having you on again.
And thank you for everything that you do.
And I really do encourage everyone to check out this AI.
It is game-changing if you're actually interested in the truth.
Thank you, Aaron.
Really appreciate you and all that you do.
Interested in hearing of your projects with Xano and elsewhere.
So keep me posted and I look forward to joining you again.
All right, great.
Have a good one.
Bye.
You too.
They tell you what to think.
They urge you what to say.
They say they're building freedom while they steal your life away.
They claim they stand for peace.
Compliance, they insist.
They rip apart your human heart And hope you don't resist De-decentralized
In what you feel Is your mind Performing psyopists.
They occupy your conscious mind until you're done with it.
De-decentralize, don't compromise, be unauthorized.
Decentralize, decentralize.
De-decentralize, got to realize, don't decarbonize.
Decentralize, decentralize.
You're living in a tomato show.
But only the red pill can know.
The things you see are really there, but no one is aware.
De-decentralize, don't compromise, be unauthorized.
Decentralize, decentralize.
De-decentralize, got to realize, don't decarbonize.
Decentralize, decentralize.
Decentralize.
Decentralize.
Open your eyes.
Ooh, open your eyes.
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