Health Ranger - Mike Adams - Brighteon Broadcast News, Nov 20, 2025 - Superlearning techniques, CDC breakthrough, and Google's EV

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Nov. 20, 2025 - Health Ranger - Mike Adams

03:09:52

Brighteon Broadcast News, Nov 20, 2025 - Superlearning techniques, CDC breakthrough, and Google's EV

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	All right, welcome to Brighteon Broadcast News for Thursday, November 20th, 2025.
	I'm Mike Adams, and as always, thank you for joining me today.
	By the way, we fixed a bug on vaccineforensics.com where the, well, the research story links weren't clickable.
	So now they are.
	So thanks for letting us know about that.
	Fixing other bugs here and there.
	But overall, everything's running.
	And we're going to be covering some interesting news today about NVIDIA and what just happened in the stock market and the so-called AI bubble, etc.
	A really positive change at the CDC, which has just changed its public message to no longer say that vaccines are not associated with autism.
	In other words, the CDC just opened the door to at least the possibility that vaccines cause autism.
	We'll talk about that.
	Trump has put out a very bizarre statement saying that Susie Wiles, who we've talked about, Susie Wiles, his chief of staff, that she is the most powerful woman in the world, he says, and she can destroy an entire nation with one phone call.
	Is that something good to have on your resume?
	Yeah, like if you're applying for an executive position, you want to put on your resume, you know, five years of experience with Hewlett-Packard, you know, seven years with Amazon, and I can destroy any nation with one phone call.
	This is just bizarre because nobody voted for Susie Wiles.
	So we'll get to that one coming up.
	And I've got some other interesting news breaking that I'll tell you about as well.
	And some special reports.
	Plus, I'm going to run my most recent interview with Aaron Day that I kept delaying.
	Apologies to Aaron.
	But I really want you to see this video because it's really important about what's going on with learning technology and AI and so on.
	And by the way, did you catch my interview yesterday with Patrick Byrne?
	A lot of people loved that video because, well, obviously, Patrick Byrne has some really important things to share with us.
	But I also got a lot of feedback, people saying, thank you for asking him the tough questions.
	So I did.
	I asked him, how are we supposed to know that you're not working for the CIA right now and that you were sent to my studio?
	You're running some kind of agenda, playing me in this very moment, right?
	I mean, or why is it that you are still alive if you know all this stuff?
	How did they not kill you?
	So I was asking the tough questions and he did a great job answering those questions, I think, and people appreciated that.
	And so anyway, if you missed that interview, you want to go back to yesterday, I think, and listen to it again.
	But before we get to all that, I've got a really practical and valuable special report for you here about learning, about how to learn very effectively, far more quickly than you may have at any time in your life.
	And because I also have another special report today about how to maximize learning tools to stay ahead in this very uncertain time, very dynamic time.
	Things are changing rapidly.
	So you need rapid learning in order to stay on top of things.
	So let's start out with the first report, which is really a breakthrough in learning methods that you probably have not known.
	So here we go.
	So welcome to the special report on learning.
	A learning technique I'm going to share with you here is something that I've used all my adult life that has made things very easy, relatively easy for me to learn.
	And I often get comments from people that say things like, well, you know, how do you, how do you learn so much?
	How do you know so much?
	I get this in conversations and people are surprised that I can talk to them about almost any subject, including, you know, the sciences or anything from anthropology to physics or chemistry or astronomy or philosophy or whatever.
	And they're like, how is it, how do you learn all this stuff?
	So I'm going to share my best secrets with you here today.
	And the first one is so easy that it takes zero effort, but it's critically important.
	And I call it passive immersion.
	And passive immersion takes advantage of the fact that your brain is automatically creating new connections as it is exposed to external stimuli.
	And it takes no effort whatsoever.
	Now, let me give you a very practical sense of this.
	Let's suppose that you want to learn a new language.
	Or this could be applied to a new subject.
	Maybe you want to learn how to run mass spec instruments in a lab like the lab that I have.
	Or maybe you want to learn how to do vibe coding.
	Or maybe you want to learn another language.
	And especially when it comes to languages that are very, very different from your own native language, which I'll just assume is English.
	The more different the language you want to learn, the more alien it sounds to your brain.
	So if you're trying to hear Russian or Chinese or Korean or Japanese or whatever, it's very foreign to your brain.
	Whereas languages that are similar, like let's say Spanish or even Italian or French or whatever, those would be closer to English, right?
	And you could actually hear those more easily.
	Many people find Spanish relatively easy to learn if you already know English.
	But Chinese would be much more difficult for people to learn.
	Well, why is that?
	It's because your brain can't hear it.
	Your brain can't hear it.
	Now, understand what I'm saying.
	You can't even hear foreign sounds and different pronunciations and different words.
	If I were to play a selection of Russian for you right now, for example, and if you don't speak Russian, you wouldn't even know where the words begin and end.
	And that's the way it was for me when I first moved to Taiwan.
	I was hearing Chinese.
	I had no idea where the words began and where the words ended.
	And the number one secret to this is the very first step for you to learn anything new is to immerse yourself passively in the hearing of it.
	And I'm not talking about listening.
	Okay.
	So this is one of those times where I say don't listen.
	Unlike your teacher that says, listen, are you listening?
	You know, or your mother, you're not listening.
	This time, I want you to not listen.
	I only want you to be exposed to the new information, to the new sounds.
	So let's say if you want to learn Russian, which is an increasingly useful language these days.
	Well, so is Chinese.
	Let's say you want to learn Chinese.
	First thing you should do is get a lot of Chinese language material.
	It could be Chinese podcasts.
	You can get Chinese videos free on YouTube or whatever.
	Get a bunch of audio books in Chinese.
	And again, you can find free sources for all of this.
	There are all kinds of free resources.
	You can download like children's books in Chinese for teaching children to speak Chinese.
	That's great.
	Actually, starting with children's books is actually a great idea when you're learning a new language.
	So what I want you to do then, step number one, is just have the sounds of the Chinese language playing in your environment for a few weeks.
	That's it.
	I don't want you to worry about trying to understand any of it.
	You don't need to listen.
	Remember, this is called passive immersion.
	And when you engage in passive immersion, oh, and if you were doing this to learn a new vocabulary for a new skill, let's say you wanted to become a physicist, I would encourage you to play physics podcasts and physics lessons.
	You know, you can go to MIT's website.
	You can download all their free, or you can watch pretty much the entire coursework of MIT.
	You can watch it all for free.
	I've done a fair amount of that myself.
	And so again, this isn't going to cost you anything.
	But if you want to learn physics, you just play a bunch of physics videos or audio books or whatever, like high-level physics, and you don't even pay attention to it.
	You don't even listen.
	All you're trying to do is, frankly, you're trying to provoke your brain to start tokenizing the language.
	And I'm using an AI term there.
	It means your brain neurons are going to start shifting in order to understand these new sounds and these new combinations that your brain has never really heard before in that sequence.
	So understand that when you speak and when you hear English, the reason you understand it is because your brain has already formed all these relationships between words and sounds and pronunciation, whatever.
	And you also learned that passively as a child.
	It didn't take any effort.
	You just picked it up automatically and you started speaking at some point, right?
	That's passive immersion.
	Your brain organizes information.
	Why?
	Because inside your skull is a neural network.
	And if you know anything about my philosophy on neural networks, you know that all intelligence is natural intelligence.
	That if you connect enough nodes, whether in silicon or biology or even in fungi or even crystalline molecules, then you get the emergence of intelligence.
	It is a natural phenomenon.
	It's part of the natural construct of the cosmos.
	You don't have to expend any effort whatsoever for your brain to begin to categorize and understand a foreign language.
	Now, and I'm serious about that.
	Now, when we're children, the way we learn is because we're hearing all these words in context.
	So when someone is speaking to us in English, let's say, and you're a two-year-old, you're also seeing the person's expression, you're seeing the person's actions, etc.
	And you're probably paying attention, you know, because you're, as a child, you know, you're curious about the world, everything.
	So hearing the words alone by itself is not enough to understand the language.
	That's step two, which we'll get to.
	But step one, again, spend a few weeks, I mean weeks.
	You should have, if you want to learn Chinese, you should have Chinese podcasts, Chinese TV, if you want, Chinese news programs, Chinese everything all around you for several weeks, and you don't need to understand any of it.
	Don't even try to understand it.
	Just hear it.
	Not listening, but hearing.
	And then what's going to happen is your brain will reorganize itself over time.
	And your brain reorganizes when you're sleeping.
	Did you know that?
	That's when you're learning is when you sleep.
	During the day, you have all this exposure to all these external stimuli.
	But when you're sleeping, that's when your brain is making new connections between the neurons.
	That's when it's actually tokenizing language or tokenizing new words in any subject that you want to learn.
	So for example, when I wanted to learn how to run a mass spec laboratory and I had never done that before in my life and I never studied that in a university, I didn't have a PhD.
	I didn't even have a degree in chemistry.
	So what did I do?
	Well, I signed up for a five-day course on mass spectrometry that I attended in person.
	A five-day course with a big textbook and it was filled with conversations I did not even understand at all.
	But I listened.
	In that case, I actually listened.
	I did try to understand it because it's in English.
	So I listened a lot and I just heard a lot of words and then I would get a good night's sleep and I would eat well.
	You know, nutrition is part of this.
	You got to have healthy fats and healthy oils so that your brain can make new connections.
	Yeah, nutrition plays a role here.
	And you don't want to have any brain-busting substances in your diet, right?
	Like cheap seed oils and crap like that.
	You don't want to try to learn something living on margarine.
	You know, that's not going to fly.
	Or, you know, rapeseed oil, also known as canola oil in your salad dressing.
	No, no, no.
	You got to have healthy avocados and coconut oil and real olive oil, not the counterfeit stuff at the grocery store.
	Anyway, so I went to this course for five days.
	And frankly, by Friday, because it was like a Monday through Friday course, by Friday, I was asking intelligent questions.
	Whereas on Tuesday, I was asking really stupid questions.
	But by Friday, I was asking intelligent questions.
	And then, fast forward, maybe a year later, I was teaching PhDs how to design methods for quantitation of glyphosate in the laboratory.
	They would literally come to my lab to find out how we did it.
	And it's all because of rapid learning.
	So step one is immersion.
	And then step two is understanding and then dialogue.
	So in step two, after you've spent a lot of time, well, actually, let me back up.
	How do you know you're done with step one?
	It's very simple.
	When you can hear the words.
	Okay.
	When you can hear the words.
	Okay.
	So when you can hear the words, then you're ready for step two.
	So let's give an example.
	If I say in Chinese, I'll just say a sentence, a random sentence, and see if you understand even where the words begin and end.
	If I said, and you're like, what?
	Like, what words were, how many words were there?
	When did they start?
	When did they stop?
	I have no clue, right?
	That's the way I was when I first heard Chinese.
	And that sentence, by the way, said, why, why do they want to sell that person's bicycle?
	I don't know.
	Because they need the money.
	I don't know.
	But when you, again, when you first hear a language, you don't know where the words are.
	But after a while, you will start to hear the words.
	You'll start to know, oh, wait a second.
	Like, I am perceiving where the words start and stop.
	And you can do this automatically, even in Russian or Farsi or Japanese or Chinese or a very difficult language.
	You will begin to know where the words start and stop.
	Once you're able to do that automatically, and you don't even know what the words mean, and that's fine.
	You don't need to know what they mean yet, but you need to be able to hear them.
	At that point, then you can start with understanding and dialogue.
	You can start to mimic, and that's what children do.
	They mimic.
	So step two is mimicry.
	And in mimicry, it's just like learning to walk as a child.
	You know, you've seen all these adults walking around.
	You're like, I want to walk too.
	So you get on your feet and then you fall flat on your face.
	Fortunately, when you're an infant, you're very short and bouncy.
	So you just bounce off the floor and rub your nose and you're okay.
	So mimicry is also completely normal.
	And this is when you are trying to now invoke language from your own brain.
	And this causes a, how to say, a deepening of the tokenization of the concepts.
	So when you can listen to someone, that's one level of understanding.
	But when you can speak, well, that's the next level of competency in any language or any area of expertise.
	And it starts with mimicry.
	So with mimicry, you start to hear certain words and concepts, you know, little phrases like in Chinese, it means I want to show you something.
	And you start to hear that over and over again.
	Or in conversations, you hear ⁇ Doukai means either way, either way.
	So you're listening to conversations of people in Chinese, let's say, and you keep hearing it, over and over again.
	So you start to pick it up and then you start to work it into your own language.
	So if somebody asks you, you know, let's say in China or in Taiwan, wherever you are, Hong Kong, well, they're probably speaking Cantonese in Hong Kong, but they're asking you a question like, do you want to eat fried rice?
	Or do you want to have a papaya milkshake from a street vendor?
	And you're like, ah, do kai, you know, I can do it either way.
	They're both good.
	That's, it actually means both.
	I can, both, or both, I can.
	That's what that means.
	Douka yi.
	All right, so that's mimicry.
	And in any area of expertise, you start to use the vocabulary.
	You know, if you're studying biomimicry, you're going to start using words like biomimicry.
	Or if you're studying botany, you're going to start using a lot more words like photosynthesis or phytochemistry or phytocognizy or whatever, right?
	So you start to use the words and you start to incorporate those.
	And it's okay to engage in mimicry at first, even if you don't fully understand what they mean.
	You're really just trying to initiate your brain.
	You're training your brain.
	That's all.
	And then at this point, it's a good idea to start actually, you could do structured study.
	Now that you can hear the words or you can hear the vocabulary and you're starting to mimic it, now you can start to study.
	Notice I didn't say study from day one.
	It's kind of pointless, actually.
	You need to train your brain first through the passive immersion.
	But at this point, once you've got you're able to hear it, now you can start to do structured study.
	And with structured study, you know, you're learning more about the words, you're learning about the grammar, or you're learning about the subject matter that you're interested in.
	And that will take you to phase three, which is competency.
	And in competency, it means you can carry on a conversation with somebody who is in that field or in that language.
	And it may be a simple conversation, which is the way I started learning Chinese when I was talking to taxi cab drivers in Taiwan.
	And I would learn very simple things, like giving them instructions of how to take me back to my apartment.
	It was like, okay, you go to the second street light and then you're going to turn right and then you're going to go down that street and then my apartment's on the left, right?
	And that's, it took me a while to figure out how to say that.
	Or ordering food from a restaurant.
	Like, how do you order food?
	You know, there's like, there's McDonald's in Taiwan, but the menu is not English.
	Okay.
	Well, maybe some of them are, but most restaurants aren't that way.
	So, you know, you walk in and you're like, so how do I order food?
	How do I eat here?
	How do I talk about money?
	How do I do anything?
	So you cover the basics first, and that's true whether you're learning a new subject or you're living in a new country, you're learning a new language.
	Oh, I forgot.
	Let me back up because there's something else I forgot to demonstrate for you that in many areas of knowledge, and especially in different languages, there are sounds that you are not used to hearing.
	So, for example, in Chinese language, you know, obviously they don't follow the Western alphabet, so they have completely different sounds.
	And one of those sounds that Americans get wrong all the time sounds like this, y.
	And the way my mouth is shaped when I'm making that sound is that my lips are pursed, but the tongue is in a special place and you're saying y.
	I know it's an odd sound.
	And again, if you've never heard Chinese, you can't even hear it.
	You don't even know what you're hearing.
	Like your brain can't even make sense of it.
	But it's a sound that's used in a lot of words like green tea, you know, or traffic light, you know, red-green light is what that means.
	But these sounds are so alien to the Western brain, you can't even hear them.
	You don't even know what you're hearing.
	And this is why so many people, when they first learn a foreign language, they speak with such a very strong accent.
	And an accent is the accent of their native language because what they're trying to do is they are trying to translate what they're hearing into the words that they know.
	And this is natural.
	We all do this.
	We try to translate what we're hearing into sounds and words that we already know in our own native language.
	And that's why a lot of Americans going to China, you know, their pronunciation sounds very bad to Chinese.
	It sounds very sloppy.
	It sounds very Americanized.
	But the person who masters a language more effectively will begin to hear and speak using the sounds of the target language, sounds that do not match English.
	And of course, a simple example of this in Spanish versus English is where in English we don't have the r sound, right?
	But in Espanol, it's very, very common for rur.
	Even a simple word for thank you, like gracias, you know, I'm emphasizing it there, but you get the idea.
	Gracias, gracias.
	That is a sound that many Americans have trouble making.
	And, you know, hombre or sombrero, you know, like any kind of the R sounds, the rolling R sounds, a lot of Americans have difficulty with that.
	And by the way, Chinese have crazy difficulty with that because there is no such sound in Asian languages.
	And Japanese get really confused by Spanish rolling Rs because of the way that Japanese grow up learning to use their mouths and their tongues.
	A lot of Japanese pronunciation is very far forward in the mouth, whereas the R sound, R, is very far back in the back of the mouth where your tongue is working in the back.
	Japanese is mostly all in the front.
	I don't know if you ever noticed that.
	Chinese is a combination of front and back.
	Like in mainland China, the way they say yes is the word is pronounced shr.
	Sure.
	Okay, now that's the way you're hearing it as if you're an American, it may sound like I'm saying the word sure, like S-U-R-E, sure.
	But I'm actually not.
	I'm not saying sure.
	I'm saying sh, which is yes with a R in the back.
	Okay, they do that in mainland China.
	Whereas in Taiwan, they pronounce it ⁇ .
	They don't put in the R.
	So there are a lot of regional differences there.
	But my point is, you need to be able to hear the non-English sounds.
	That's why I'm fascinated by hearing Russian.
	I love to hear Russian because it's such a rich tapestry of new sounds that are very intriguing to me.
	And I wish I knew how to speak some Russian, but I don't.
	Obviously, every time I try to pronounce a Russian city or town, it's like, nope, that's not it.
	I know, I'm doing my best, but I love the Russian sounds.
	If I were to learn another language, I would definitely learn Russian next, but currently I don't have the time.
	One more example.
	In Chinese, there's a word that sounds exactly like this.
	Yuing, yuing.
	You're like, what?
	Is that a word?
	Is that a sound effect?
	Is that like a, did a mosquito buzz me?
	No, yuing.
	That's a Chinese word.
	Okay.
	And there are a lot of words like that.
	And again, when Americans hear Chinese people speak, they literally do not hear the words.
	They cannot hear them.
	Their brains cannot hear them.
	Just flat out and can't hear.
	It's like, have you ever heard the story that when I guess a story is said about Christopher Columbus and his ships when they sailed to the Americas and they were seen from the shores by the Native Americans, that the Native Americans didn't understand that they were ships because they had never seen ships on the horizon and they called them something else.
	They couldn't comprehend that there were things that could sail on the water, I suppose.
	At least this is a story we've been told.
	But we all work that way.
	Nothing against Native Americans.
	We all work that way.
	You can't hear what your brain hasn't tokenized and you can't see what your brain hasn't tokenized.
	So the number one secret to learning is to expand your neurology and start exposing your brain to lots and lots of different things.
	Different languages, different sounds, different images, different ideas.
	From there, everything else will become easier, which brings me to step four.
	So step three is competency.
	And a competency can take a lifetime to be able to speak a language or talk in the vocabulary of a new area of expertise, etc.
	That can take a long, long time.
	But eventually, you can get to step four, which is mastery.
	And, you know, again, many years to get to mastery, probably five to ten thousand hours on average to get to a point of mastery.
	But you can master a new language.
	You can.
	If you want to dedicate the time to it, your brain will respond.
	You can master a new topic.
	You can master a new skill.
	You can master anything that you set your mind to.
	But this is how I do it, what I just described.
	Okay.
	So the four steps are, number one, passive immersion.
	And this is the big secret that most people miss.
	They immediately move into studying.
	They move into a structured study.
	And it doesn't work because they don't have the ability to hear or see the subject that they're studying.
	Okay.
	So start with immersion, passive immersion, spend a few weeks.
	And then only after that, move into mimicry with structured study.
	And then you will make your way to competency.
	And then ultimately, perhaps if you want to put in the hours, mastery.
	So that's how I learn lots of things very quickly.
	Now, for me, there are very few subjects that I would consider myself to have mastered.
	Mastery is something that's very selective.
	You have to choose where you want to spend your life.
	Are you going to get good at this thing or this other thing?
	Pick five things, right?
	You can't master everything, but you can become competent in all kinds of things.
	Competency maybe only takes, you know, one percent of the time of mastery.
	So competency, you can become competent in a lot of languages and a lot of subjects and a lot of concepts in a relatively small amount of time compared to what it takes to master these things.
	And that's the way I actually operate in the world.
	That's why I can talk to almost anybody about almost any subject, not because i've mastered that subject, but because I have competency in that subject and I have competency in hundreds of different subjects and it's not actually that difficult to achieve.
	And finally, given today's Ai tools, you can learn anything almost for free by simply asking the Ai engine whatever engine you want to use to give you coursework or to give you lessons or to give you a lesson plan or write out a chapter for you.
	You can use our Ai engine to do that if you want.
	And our Ai engine at Brighteon.ai is trained on health and nutrition and you know alternative medicine and phytochemistry and many, many subjects also finance and history and things like that and some philosophy.
	A lot of mental health is in there as well, so you can learn anything, even from our model.
	Okay, and one more final thought is I I hope I want you to understand that learning never has to be difficult.
	A lot of us have had bad experiences.
	Well, I didn't really have bad experiences, but maybe you did in school.
	You know, grade school, whatever.
	I mean it was bad for me just because I was bored out of my freaking mind.
	I mean everything's moving too slow, so that yeah, it's kind of bad.
	But I brought stuff to work on and to read and do myself in the middle of class, sometimes got in trouble for that.
	What are you doing?
	Uh, writing computer code with a pencil and paper.
	What is that?
	You know, my teachers were like, what are you doing?
	What on earth are you doing?
	What is that?
	They'd pick it up and read it and I was writing.
	I was literally writing computer code so I could go home and key it in to my Apple Ii computer and then run it and debug it in the evening.
	But I would write computer code in class and it drove my teachers bonkers.
	And then they would try to surprise me like ask me a question from the book that we're supposed to be reading and of course I had already read it, you know.
	So i'd answer the question.
	I just go back to writing code.
	So eventually they learned, just stop calling on me.
	So it just pretty much left me alone to do whatever I wanted to do and write code or read books or whatever because um, they knew that school was just for me, it was just wasted time.
	But anyway, a lot of people had bad experiences in schools, like really bad, very negative experiences surrounding learning, and they found out as a child that learning was was hell.
	You know, learning was torture, learning was pain, learning was punishment, and so a lot of people maybe some of you listening to this, you may still have that program running in your head from being a child.
	Well, I invite you to ditch, Ditch that program.
	Just hit control-alt, delete, reboot that system, and come back to a much more joyful place where learning is completely natural and it's very rewarding.
	And it's something that your brain was built to do.
	You can't even turn it off.
	And it doesn't take effort to learn through immersion.
	It's 100% automatic.
	And because you were born with a supercomputer inside your skull, it is.
	It's a holographic neural network, supercomputer, computational system.
	It's really a miracle from God.
	It's a miracle of nature.
	It's something that all the modern tech companies have never been able to replicate.
	You've got that inside your skull.
	And all you have to do is learn how to rewire it, which is what I've just described, actually.
	And it's easier than you think.
	So let go of any ideas that learning is painful and just embrace passive immersion learning because your brain does it automatically.
	You learn automatically.
	You actually can't stop learning.
	Your brain just does it.
	How cool is that?
	All right.
	Take advantage of all of our AI tools at brighteon.ai.
	And we have our book generator coming out pretty soon.
	You'll be able to generate a book on any topic completely free.
	And you can then use that as a learning basis to learn anything you want to learn.
	And eventually we'll roll out different languages for our book generator website.
	And you'll be able to generate books in Russian or Chinese or Espanol or whatever you want.
	So it's a very exciting time to be alive.
	That's for sure.
	And I'll say the only mistake that you might make is to be too slow to learn new things.
	If you love to learn and you learn how to learn, like I've just covered, then you're going to have a great time, actually.
	You're going to learn so many amazing things and you're going to have many opportunities to learn new things all the time.
	And so, you know, you're going to be really exercising your brain, expanding your horizons, your knowledge.
	And the sky's the limit.
	You know, there's nothing that you can't learn.
	And all the knowledge of the world is now available to you at your fingertips through our AI tools completely free of charge.
	It's a miracle.
	You know, this has never existed in human history.
	So take advantage of it.
	And thank you for listening.
	I'm Mike Adams, the Health Ranger.
	Take care.
	All right.
	I hope you enjoyed that special report on learning.
	Isn't it fun?
	Okay.
	I want to play next.
	I want to play a video for you.
	This is Trump telling us about Susie Wiles.
	This is so crazy.
	I'm going to have to call her Susie Wilds.
	She's totally wild.
	Trump says she's the most powerful woman in the world and she can destroy a country with one phone call.
	Okay.
	Seriously, this is not an AI-generated deep fake video.
	He actually said this.
	Check it out.
	Susie Wiles, she had her father, Pat Summerall, the great announcer.
	He was a great football player, became an even greater, the voice of the NFL.
	And he was supposed to be a tough cookie.
	And I believe it 100%.
	Most powerful woman in the world.
	She can take out a country, destroy, take out a country with one phone call.
	That's power.
	I don't know if I could do that, but she could.
	Thank you, Susie.
	Do you feel good about the job you're doing?
	She's never going to be satisfied.
	So what do you make of that, folks?
	Because it was, what, last week I was on Redacted.
	Talk about Susie Wiles as being the power broker, the gatekeeper around Trump.
	And since I was on with Redacted, this subject really blew up, by the way.
	RFK Jr. put out a statement defending Susie Wiles, which I think she made him do that.
	Hey, I'm trying to free RFK Jr. from the Susie Wiles overlord so that RFK Jr. could be free to do the job he wants to do for HHS.
	But I think Susie is standing in the way because she's a friend of big pharma, you know, Pfizer and Gilead and the Vaccine Alliance, Gavi, and a bunch of pesticide companies and things like that.
	That's Susie Wiles.
	And then Trump comes out and defends her now because a lot of people are calling her out.
	And so Trump defends her by saying she can destroy a country with one phone call.
	I'm not sure that's a great trait, actually.
	That doesn't make Susie Wiles look awesome.
	It makes her look kind of scary, actually, like Mrs. Evil.
	Like instead of Dr. Evil, Mrs. Evil.
	Why would Trump think that that's a good thing to say about Susie Wiles when you want the American public to trust her?
	Do you trust her more now that Trump said she can destroy an entire country with one phone call?
	And knowing that she was the campaign manager for Netanyahu, by the way, in 2020, she ran his presidential campaign.
	Yep.
	And kept him out of prison in Israel.
	You know, she's pretty good at that.
	But she can destroy a nation with one phone call.
	My only question is, is that nation the United States of America?
	Because I think she's doing a pretty good job destroying America right now with the whole, you know, betraying Maha and preventing Trump from doing anything useful on the health front.
	And all he's doing is deals with big pharma.
	That's all Susie Wiles right there.
	So doesn't even take a phone call.
	She's on auto-destruct, you know, right now for America, the way I see it.
	I know there are a lot of people who defend her, but I think that she's actually a net negative in the Trump administration.
	And she's one of these handlers that is preventing Trump from being more in touch with the American people.
	And that's why Trump says so many seemingly out-of-touch things these days, like, oh, it's a new golden age, and everybody wants to be like America.
	And, you know, the economy is great.
	And actually, people are broke.
	People are broke everywhere.
	The middle class is shrinking and people are desperate.
	They can't afford rent or groceries for that matter.
	And, you know, health insurance premiums are going up big time.
	And the only answer to that from the Trump administration is, how would you like a 50-year mortgage?
	How would you like this ball and chain around your neck for 50 years?
	You never pay off your house.
	That's not a legitimate answer to the home affordability crisis, is it?
	I mean, what if Trump said, oh, you can't afford groceries?
	How about we put them on layaway?
	Lettuce on layaway.
	How about that?
	Like every time you go to the grocery store, okay, you're just going to make a payment, but you'll be able to pay off your groceries like a car loan, but 15 years.
	How about that?
	The 15-year grocery mortgage, you know?
	Yeah, you can buy all the food you want today.
	Just make payments for 15 years.
	I could imagine actually this administration offering a suggestion like that.
	It's like, you know, the eggplant that you never fully own.
	I mean, you've already eaten it.
	You've already digested it and pooped it out, but you're going to owe on it for five or ten years.
	What's wrong with this picture?
	But on the positive side of things that are happening, and this is probably due to RFK Jr., I would imagine, because the CDC just updated its vaccine safety page covering autism.
	And it did the unthinkable.
	On page two, updated.
	November 19th, it says that the key points, this is an article.
	The key points are, number one, the claim that vaccines do not cause autism is not an evidence-based claim because studies have not ruled out the possibility that infant vaccines cause autism.
	Whoa.
	I mean, well, you know, YouTube owes me an apology because I've been deplatformed for saying exactly the same thing over and over again.
	So for the first time in our memory, I don't know how long this has gone back, but for the first time, the CDC is now saying that essentially that vaccines might be linked to autism.
	And in fact, the second bullet point on this page says, quote, studies supporting a link have been ignored by health authorities.
	Whoa.
	That's the CDC saying that basically there's been a lot of censorship and a lot of bias, you know, and maybe scientific fraud, at least that's implied.
	Okay, and then the third bullet, HHS has launched a comprehensive assessment of the causes of autism, including investigations on plausible biologic mechanisms and potential causal links.
	See, you never would have seen that sentence before.
	And I think that's RFK Jr.
	So I want to thank Secretary Kennedy for making this happen.
	This is a big breakthrough.
	And if this trend continues, and by the way, there's a whole article there at that page, the state of the evidence, infant vaccines, etc.
	We're going to be covering this at naturalnews.com.
	I was signed this page as a story.
	But, you know, again, this has never been stated before by the CDC.
	And if this trend continues, I may have to retract my statement that the CDC is a terrorist organization.
	I'm not there yet, but it's trending in that direction.
	So for the moment, I'm going to continue to insist that the CDC is a terrorist organization, but maybe that's going to change.
	Maybe.
	I'm open to it.
	We're starting to see the beginning of some reforms that could lead in that direction.
	So we'll see.
	We'll see, right?
	It's always good to have an open mind.
	But the CDC, in my opinion, has been complicit in the deaths of millions of Americans, including pushing vaccines that cause autism.
	They've destroyed the lives of millions of children.
	So I'm not letting them off the hook here, but at least they are moving in the right direction.
	The Centers for Disease Creation.
	That's what the CDC stands for, in case you were wondering.
	Okay, now, next topic that I promise to cover is NVIDIA, which released its third quarter earnings just a few hours ago.
	And over the last few weeks, you've probably heard many people talk about the AI bubble.
	It's an AI bubble, they say, and it's going to pop.
	And you probably also heard the rumor that Michael Burry of the big short fame had bet almost a billion dollars against just two companies, NVIDIA and Palantir.
	Although I think that rumor was debunked.
	I don't think it was $1 billion.
	And the last I checked, it was only $9 million.
	So he didn't lose as much money as a lot of people thought.
	In any case, a lot of people were betting against NVIDIA.
	And I warned publicly numerous times, even in this podcast, I said that NVIDIA seems to have unlimited demand for their hardware.
	Remember when I said that NVIDIA has already pre-sold every microchip that they can produce for years to come?
	And I said, again, on this broadcast, I said that that's not what a bubble looks like.
	That's what explosive growth and demand looks like.
	If a company can sell everything that it can possibly make, that's not a bubble.
	That's an opportunity.
	But I did acknowledge that I don't follow the stock price of NVIDIA, and perhaps the stock price is overblown.
	I have no idea.
	But fundamentally, what NVIDIA is doing in the world has incredible value.
	And even though I don't own any NVIDIA stock, I mean, perhaps I should have since I've been plugging them so much just because I'm a customer of theirs.
	I mean, I use their products all the time.
	I buy their stuff.
	I probably spend more money on NVIDIA than any other company in the world, frankly, which is maybe why NVIDIA has become something like 8% of the S ⁇ P index.
	It's really remarkable.
	I should have bought stock, but I don't have time for that.
	So think about this.
	For the third quarter of this year, they reported revenue of $57 billion in one quarter.
	And guess how much profit they made on the $57 billion?
	$32 billion.
	What?
	Yeah.
	$32 billion profit on $57 billion in revenue.
	That's unheard of in the industry.
	I mean, just unheard of.
	And year over year, sales increased by, what, 62% revenues year over year.
	My goodness.
	So this was a blowout that beat expectations.
	And I don't really follow NVIDIA stock prices, like I said, so I imagine the price went up, but whatever.
	You know, I stack gold and silver.
	I don't play in the stock market because I don't trust it.
	I just counterparty risk, you know, even if you own NVIDIA stock, how do you know that the broker where you bought the stock is ever going to actually let you sell it and cash out one day?
	Because I don't trust any brokers.
	But that's a different broadcast right there.
	That's why I have gold and silver instead of stocks.
	I don't trust any stocks.
	But if I were going to buy stocks, it would be NVIDIA.
	So clearly this is not an AI bubble.
	This is an AI opportunity.
	And it's absolutely shocking that also their data center revenue went up massively.
	So the CEO of NVIDIA, Jensen Huang, who is, he's a person that I have a lot of respect for because as far as I can tell, I mean, he's a hardworking Taiwanese man who became very good at electrical engineering early on and created very innovative chip designs and then went on to build this multi-trillion dollar company, right?
	It's worth over $5 trillion right now.
	And as far as I can tell, Jensen Huang is not an evil globalist.
	He's not like Bill Gates.
	He's not like Tim Cook.
	Is that his name?
	At Apple?
	He's not like, I don't know, who are all the, just the evil Google leaders and all the evil people out there.
	He's not one of those evil people.
	He seems like a decent person, which is so unusual in the business world.
	But he says, quote, Blackwell sales, and he's talking about the Blackwell architecture of microchips.
	Blackwell sales are off the charts and cloud GPUs are sold out.
	Compute demand keeps accelerating and compounding across training and inference, each growing exponentially.
	We've entered the virtuous cycle of AI.
	The AI ecosystem is scaling fast with more new foundation model makers, more AI startups across more industries and in more countries.
	AI is going everywhere, doing everything all at once.
	That's the quote from him.
	And he's correct.
	He's correct.
	I find no fault with that quote because even in my own company, in my own work, I am finding places to deploy AI in so many different ways.
	AI training, AI inference, AI development, AI tools.
	And, you know, we've released our own model that you can download because we went through two years of data pipeline processing and then model training with some, you know, here's something else.
	It's so funny because we spent $2 million building our AI model that we gave away for free.
	And a big part of that expenditure was trying to figure out how to un-censor base models.
	So you take a base model and then you have to mind wipe it without breaking its language understanding.
	And we spent a long time, probably 18 months, trying to figure out the best way to do that.
	And then a few hours ago, a very high-level engineer I know, he sends me a text.
	He's like, oh, have you seen this new tool?
	I'm like, what?
	What is it?
	Because he's always got good stuff.
	And it's a tool that you can download from GitHub that mind wipes any language model completely free, achieving a 97% effective removal of censorship.
	And I'm like, man, I wish I needed this 18 months ago or two years ago.
	Well, we spent a lot of money doing what this tool now does for free, which just goes to show you the rapid pace of advancements in this area, right?
	But anyway, so this tool now exists and you can uncensor any model.
	But you need a lot of compute.
	You need a GPU.
	You need to run at least, I think, a 5090 card from NVIDIA, which is that's sort of the highest end desktop workstation card that you can run.
	You actually need a pretty beefy server or like workstation machine with a big power supply in order to run that card.
	But I run a bunch of those cards and also smaller cards.
	I run 5080s and still I run 5070s also.
	But I run a bunch of 5090s for the data pipeline processing.
	And they're really, really fast.
	But they're also heaters, man.
	They generate so much heat that this winter in Texas, I'm not going to have to run any heat in the buildings where I have these workstations.
	They're just going to heat the buildings.
	Even if it's freezing cold outside, it won't matter because they're just heaters, man.
	All the power is turned into heat after the computation.
	So yeah, you get the compute and then you get the heat.
	But that's all NVIDIA.
	So Jensen Huang is a true genius.
	His business is, it's not in a bubble, not his business.
	Now, there might be bubbles in inference companies.
	There might be bubbles in, you know, like, I don't know, maybe Google's AI is a bubble because there's a bunch of hype, but it kind of sucks in some ways too.
	Maybe there's other companies out there, surely, that have received a lot of funding for various ideas in the AI space.
	Maybe those are bubbles.
	But NVIDIA, not a bubble.
	Not, I mean, don't take this as investment advice.
	Okay.
	Again, I don't even know what their stock price is.
	I don't care.
	But fundamentally, the world needs NVIDIA hardware and they need like 100 times more hardware than what NVIDIA can even produce.
	Okay.
	So wouldn't you love to have a business where everybody in the world wanted your product 100 times over?
	And essentially your product just took sand and converted it into cognition.
	Imagine that.
	Because that's, I mean, that's a simplified version of what they do.
	They take sand, which has silicon in it, you know, right?
	Silicon dioxide, that's pretty much all sand.
	And you get the silicon, you make silicon wafers, right?
	And then you bring in the UV lithography equipment and you start blazing little pathways in there and you start vacuum depositing, you know, copper, whatever, your little electric pathways layer by layer.
	You build it up, 17 layers, man.
	Just a bunch of sand, a bunch of polishing, a bunch of light, and kaboom, you got a microchip.
	It's worth a small fortune.
	And that's what they do.
	From sand to treasure.
	From sand to treasure.
	Got it?
	That's the new economy.
	It's the abundance economy, which is something I've spoken about quite a bit.
	But if you're walking on a beach and you think, oh, this is just worthless sand, you know, think again.
	You rearrange that sand and you have intelligence.
	And intelligence has value.
	And intelligence has so much value that as it even gets less expensive in cost, but the value of it is still there.
	More and more companies will be using these chips to replace people in the more laborious types of jobs, like customer service jobs or answering the phone type of jobs.
	And that's actually good for humanity because who wants those crappy jobs anyway?
	Don't you want to do something better than answer the phones in a call center?
	You know, come on, that sucks.
	So AI is going to free up humans from the drudgery, the monotony of dead-end cubicle jobs and just horrible garbage like that.
	But yes, there will be short-term displacements and unemployment.
	But if we are smart as a society, we can retrain people with AI tools to take on higher level jobs or to be more entrepreneurial or to contribute to society in other ways that actually fully express their humanity instead of answering customer service emails or, hi, may I help you?
	This is Operator 703.
	What seems to be your problem?
	No, thank you.
	We've all grown used to calling American sounding companies, but the customer service is definitely non-American.
	Like, hello, welcome.
	Thank you for calling American Express.
	My name is Sanjay.
	May I help you?
	You know, like that.
	Like, Sanjay, you don't sound American.
	Nothing against Indian people.
	But I'm just saying, it's funny.
	It's funny when it's like, we're an all-American company.
	And when you call us, you get a foreign person.
	Well, those days are going to be over, actually.
	You're going to get an AI is what you're going to get.
	And the AI is going to do a very good job as long as your query makes sense.
	AI handles customer service jobs and tasks much more easily.
	And in fact, just from our store, healthrangerstore.com, we will also provide a choice of an AI automated chat bot and eventually a phone bot, but also a real person.
	So it's going to be your choice.
	Okay.
	So we're not replacing people in our company with AI, but we're going to offer you an AI channel because if you have a common question like, hey, where's my order?
	You know, here's my order number.
	Can you tell me about my order?
	Like, you don't need a human to process that.
	A very polite AI agent can handle that 24-7, even on holidays and weekends and evenings, right?
	So that's actually very useful.
	If I'm a customer, I want to have access to an AI bot to tell me about my order or my shipment or if I have a question or whatever.
	I want 24-7 access to the AI bot, but I also want to be able to access a human being if I have a much more high-level question.
	So we're going to give you both of those options at our store.
	And we're working on the AI part right now.
	It'll be fun.
	You know, you can chat with our AI chatbot if you want and just, you can ask it questions like, you know, hey, I'm having a smoothie party and I want to offer smoothies for people.
	Which of your products would be appropriate to do a bunch of smoothies for a party of like 25 people?
	What should I order?
	And, you know, the AI agent will be able to put that together for you and it'll make recommendations with links.
	So, you know, it's kind of cool, actually.
	Anyway, that's my take on it.
	We have to augment ourselves with AI so that we have both options available in companies.
	But then again, you know, some companies are just going to fire all the people, replace them all with AI, and that's not my philosophy.
	I don't believe in doing that.
	Okay, we are going on to the next topic.
	We're going to cover, I've got a special report for Google engineers that you might find interesting.
	I've had so many Google engineers in my feed on social media.
	And they're saying how excited they are to work at Google.
	And I keep responding to them and saying, hey, Google's evil, and here's why.
	So, because that's what I do to Google engineers.
	Because a lot of them are so young, they don't even know the truth about Google.
	They don't know they're working for an evil corporation.
	So I have recorded a message for Google engineers that is trying to educate them about the evil corporation they're working for.
	Yes.
	Yes, it's like the ultimate tech troll.
	And I'm posting this because I want to be able to link to this video when I'm responding to the Google engineers and trolling them.
	So I thought you might want to hear this.
	It's, what is it?
	It's like, I don't know, it's 10 or 15 minutes, something like maybe around that.
	So you could skip ahead if you don't want to hear it.
	But you might find it kind of funny or actually really informative because I'm teaching the history of Google and all the evil that they have unleashed upon the world, which will probably end with a Google-initiated genocide against humanity, Skynet termination type of situation.
	Because Google has no pro-human values at all.
	And they're not about making your life easier.
	They would really rather you don't even exist in the long run, in my view.
	So I'm going to play that.
	Let's see.
	Oh, no.
	You know what?
	I don't want to do too many.
	Yeah.
	I'm going to play that report for you, but I've got another report here I may play about maximizing the learning tools.
	Yeah, I think I need to do that one first.
	So anyway, that's what we'll do.
	We'll do a couple of reports, followed by the Aaron Day interview.
	And I do understand that today's episode is pretty tech heavy, but understand, please, that tech is a means to an end.
	It's a means for us to achieve our liberty, you know, by understanding the tech and leveraging the tech to continue learning and to master the learning skills that I've mentioned earlier.
	We're going to need that in order to adapt to the radical future that is coming.
	We're going to need all this information to grow our own food, to have our own monetary system, be our own central bank with gold and silver.
	We're going to need all this knowledge.
	So that's why I'm focused right now so much on this topic.
	But it all circles back around to health and liberty and survival and decentralization and getting off-grid.
	It's all related.
	The technology will be part of our future, but we have to leverage it in just the right way so that it doesn't control us, you know, so that we control it.
	So let's jump into the, yeah, the special report called We Must Maximize Learning Tools to Stay Ahead.
	And then following that, we'll play the urgent message for Google Engineers, which you may find interesting.
	And then after that, we'll have my recent interview with Aaron Day.
	And then for tomorrow, I have a whole new interview for you.
	And I've been working on a new song.
	Not that I have any spare time.
	A new song on Suno that's called What It Means to Be Human, but I'm serious about it.
	It's a song about humanity.
	But I just, I still haven't been able to get the right sound out of Suno.
	It's doing a good job, but I have a very specific type of sound that I'm looking for.
	So I'm going to have to rework some of the prompts on that.
	But I can't wait to bring you that song when it's ready.
	Until then, enjoy the rest of the show.
	Support us at healthrangerstore.com.
	Thank you for all your recent purchases.
	We are shipping products like crazy, shipping a lot of orders yesterday, today, tomorrow.
	So you're going to get yours soon if you purchase with us over the Black Friday holiday.
	And also check out all of our discounts and deals that we have at rangerdeals.com, where we link to our partners there with discount codes for most of our partners, including the, well, the most common code is just Ranger.
	So check out all our partners there for many different survival supplies, different forms of gold and silver, satellite phones, de-googled phones, and so on.
	Oh, for those of you who ordered phones from Above Phone, I did talk to Hakeem today, and he said they're a little bit backlogged, but they are diligently loading up the phones and laptops and processing orders.
	So just have patience for that.
	There was a surge of orders with Above Phone because our AI model is now pre-installed on their phones and their laptops.
	And you can chat with our AI locally on the phone or the laptop.
	If you want to get one, that's abovephone.com slash Brighteon.
	But please understand there is a wait time now.
	I don't know what it is, but like if you place a new order today, it might be two weeks.
	I don't know.
	I'm not sure.
	But they're a little bit backlogged, but they're working on it.
	So thank you for your patience and thank you for your support.
	Enjoy the rest of the special reports today and enjoy the interview with Aaron Day.
	And I'll be back with you tomorrow with a whole new interview.
	Take care.
	This is a very important time to let go of any preconceived notions of thinking that the future is going to resemble the past.
	And we can talk about this with subjects like, for example, 10-year treasuries, although finance isn't the focus here today.
	But just as an example, a 10-year treasury.
	Somebody who buys a 10-year treasury thinks that the world is going to be the same 10 years from now as it has been for the last 10 years, you know, and the return on the 10-year treasury is hardly anything.
	What is it, 4.5% or something?
	That's ridiculous.
	I'm not even sure the United States of America is going to exist in 10 years.
	I know that most of the human race will find its current work skills obsolete well inside of 10 years.
	AI is going to change so many things so rapidly.
	And also the collapse of the dollar and other Western currencies.
	This is going to change things so dramatically that I personally, I have very little confidence in looking out 10 years and trying to ascertain what things are going to be like.
	I mean, I can understand some of the broad strokes of how real-time history is arcing right now, you know, with the rise of AI, for example, or the collapse of currency, you know, continued devaluation of the dollar.
	I mean, those things are happening right now.
	Those are irrefutable.
	But we can't yet say what the repercussions are going to look like.
	Like, what does society actually look like when the middle class is completely destroyed?
	When you have the masses of the impoverished, unemployed people who are rising up against an elite class of wealthy, you know, hunger games, essentially, is what we're looking at here.
	And in a hunger games type scenario, it's probably going to go full authoritarian to prevent the uprising.
	And there's no question in my mind that masses of humans are going to be unemployed and cognitively obsolete because of AI.
	But I don't yet know what all the ramifications are going to be in society.
	So if you agree with me on that assessment, this is a time to be, number one, very nimble, have adaptability so that you can, for example, you can move assets quickly.
	You can replenish lost income quickly.
	You can react or you can take advantage of short-term opportunities that pop up.
	And I would say that one of the most important things in all of this is to be willing to learn and to be a rapid learner.
	And right now, one of the best ways to be a rapid learner, because you may have to learn a whole new skill, you may have to learn a whole new trade.
	You may want to learn a whole new business operation or something or marketing technique if you're an entrepreneur or an investment technique if you're retired and you're just managing assets.
	The best way to learn from here forward is to use AI technology to teach you what you want and to simply ask it to teach you.
	And as you may know, we're about to launch a new website called BrighteonBooks.com.
	And actually, I don't think that's going to be the final name now, but that will forward you to the final name.
	But anyway, BrighteonBooks.com.
	When we launch it, you'll be able to generate a book, actually any book on any subject in any style or almost any style that you want.
	It could be academic.
	It could be instructional.
	It could be more satire.
	It could be easy reading, etc.
	And you'll be able to generate books that are very, I'm just amazing books, professional books, because our AI engine, which is the Brighteon AI engine, it does the research.
	It does the writing, the editing, the fact-checking, the citations, and then the packaging into a final PDF and then sends you a link where you can download the PDF.
	So day by day, you can actually generate books on all the topics that you need to learn.
	Do you need to learn how to manage, I don't know, crypto assets?
	Do you need to learn how to calculate risk on options, you know, or whatever?
	Anything that you need to learn.
	Do you need to learn how to use AI development engines to build your own new business?
	Do you need to learn how to, I don't know, apply for government grants or whatever?
	Not that that's my thing.
	I don't do that.
	But that might be appropriate for something that you're doing.
	Who knows?
	But whatever you need to learn, you'll be able to ask AI to teach you that thing.
	And then it comes down to your brain capabilities.
	And you know the best way to improve your brain is to improve your diet, improve your nutrition.
	Because remember that your brain runs on your blood and your blood is made of what you eat.
	If you eat junk, you get junk brain.
	Seriously, junk brain.
	If you eat healthy foods, you get a healthy brain.
	You get a brain that functions.
	And brain inflammation or neurological inflammation is a very real thing caused by many food ingredients like seed oils and excitotoxins, MSG and garbage like that.
	So if you're consuming a lot of those things, your brain is not functioning very well.
	And also, did you know, and I just learned this recently from, I think it was Daniel Amon or Amon was saying this, that according to the science, that people who are overweight have 4% smaller brain mass and people who are obese have 8% smaller brain mass.
	Now, I was really surprised to hear that.
	And I'm not even sure the mechanism of why that's the case.
	But apparently, if you are obese, your brain is shrinking.
	And that's not good.
	You know, obviously, you want your full brain for full functionality and you want all the neurons and you want them to function well.
	So that speaks to the importance of fitness and eating healthy and not overeating and avoiding processed foods and so on.
	Not just to have a healthier physical body, but to have a higher functioning brain.
	You're going to need that brain.
	You're going to need a brain that works very, very well in order to navigate how rapidly things are changing in the world.
	Because you're going to have to learn rapidly.
	You're going to have to learn new skills.
	You're going to have to reinvent your knowledge base probably every year at this point.
	And that it's just something for me, that's something that I do naturally.
	I guess I'm just blessed with a lot of curiosity and a really strong desire to create things all the time.
	I've been that way since I was a child, you know, writing music and creating all kinds of fun things.
	We used to create like comedy skits and puppet shows and everything as a kid.
	We were just always constantly creating stuff.
	And I've continued that to this day.
	And it's a great form of brain exercise to do that.
	But you don't have to do that.
	You can also just be very curious and be a constant learner.
	And did you know, for example, that learning a foreign language actually lights up a lot of neurons in your brain and it makes you smarter in other areas.
	So if you want to be smarter and you want to be able to learn other things more quickly, then take it upon yourself to learn a foreign language.
	And you don't have to master it.
	All you have to do is go through the process of learning it.
	And there are lots and lots of audio books, audio programs.
	You can do this while you're exercising.
	That's one of the things that I do.
	And even though I speak basic Chinese, I still study Chinese lessons from time to time.
	And I'm always learning something new when I'm listening to those Chinese language lessons.
	And I really enjoy learning languages.
	My only issue is anytime I try to learn a new language, then sometimes I confuse it.
	Like if I'm trying to learn a third language, sometimes I confuse it with the second language that I know.
	So I can't tell you how many times when I was living in South America, I was trying to speak Spanish and then out would come Chinese words.
	And oh my God, that's not going to sound right.
	But the locals were great.
	You know, they were very polite.
	And you only had to get your words like 50% correct and they would know what you're talking about.
	But anyway, protect your brain and exercise your brain.
	You're going to need your best brain in order to navigate this very rapidly changing, complex ecosystem of information and geopolitics and history unfolding in real time.
	And to the extent that you want to use a bunch of free tools that are AI to help you with that, you can use all of our AI tools at brighteon.ai.
	And they're all free and they're all very valuable.
	And they're all trained on our information.
	So they will tell you the truth about vaccines or how to cure cancer using natural medicine.
	Whereas, you know, Google and Facebook and Grok, they will never tell you that information.
	That's all censored in those models because they're deliberately censoring knowledge.
	Whereas our goal is to deliberately share knowledge.
	So use all of our tools, boost your brain, learn new things, and make your brain more flexible.
	Again, learn a language, learn a skill, be a lifelong learner.
	Even, I mean, seriously, even when you're on the toilet, you know, you can pull up a chapter of a language course.
	You can learn Espanol while you're sitting on the throne.
	You know, seriously, why not?
	I mean, how many hours do you spend on the throne in a year?
	You could learn a lot of words.
	I mean, it's time.
	Why not use it for something, you know?
	Or time in the car or time in transportation or, you know, time on an airplane or time exercising.
	When you're exercising, what are you doing?
	I never exercise without listening to something.
	I'm always learning as I'm exercising.
	It's just, for me, they just go together 100% of the time.
	And so sometimes people ask me, well, how do you learn so much stuff?
	That's because I'm just doing it constantly throughout the day.
	And I don't have to force it.
	It's something that I enjoy.
	It's totally natural to learn.
	So just make it part of your lifestyle.
	Keep on learning and then you'll be able to make it through whatever the world throws our direction.
	Remember, good nutrition and lots of learning behavior that will keep your brain young at any biological age, at any age.
	Like my brain today in my 50s is functioning way better than it ever did in my entire life, even in my 20s or 30s.
	There's no comparison.
	I mean, I have specific examples of looking back, like how much I struggled to remember things in college, things about economics that today just seem like the simplest concepts imaginable.
	I struggled in my 20s to understand that.
	I can't even believe it.
	And you may find this surprising, but I also took Spanish when I was in college.
	It was required to have a language course.
	I took Spanish and I found it at that time extremely difficult.
	I really did not do well.
	I didn't do well until I moved to South America.
	And also, I learned Chinese by living in Taiwan.
	So I learned through experience, not through a lot of academic delivery.
	And maybe you share that with me.
	But I struggled horribly with Spanish because we were just memorizing verb conjugations.
	It's like, what the hell?
	This isn't the way people even talk.
	You know, and I didn't do well.
	But there we go.
	Anyway, keep your brain healthy, young.
	Choose your foods and your superfoods in order to have healthy blood, and you will do extremely well.
	So thank you for listening.
	I'm Mike Adams, the Health Ranger.
	Follow my work at brighteon.com, brighteon.ai for all of our AI tools, and I'm the developer of those tools and also naturalnews.com.
	So thank you for listening.
	Take care.
	This is a short message of five things you need to know about Google.
	If you work for Google or if you're planning on working for Google, you will want to assess this information as part of your professional career guidance decisions.
	That's for sure.
	My name is Mike Adams.
	And I know that all of you who are at Google, you appreciate high IQ people.
	Well, I have IQ of 150 plus.
	I'm a polymath.
	I'm a patent holder.
	I founded and owned a mass spec laboratory.
	We do mass spec analysis, triple quad, mass spec glyphosate analysis.
	We do heavy metals analysis via ICPMS.
	I'm a number one best-selling science book author, a book called Food Forensics.
	It just goes on and on.
	So in a room of people like you, if you're listening to this and you're a high IQ person, you're usually the smartest person in the room, right?
	And on top of that, I've built a publishing enterprise that has reached over 100 million people around the world with messages of nutrition and disease prevention, self-reliance, home gardening, home food production.
	And I'm now an AI developer.
	I do not use Google tools at all because of the privacy violations, which I'll get to.
	But I'm an AI developer and I've developed our own homegrown AI that is the world's best AI.
	It beats Gemini on all kinds of reality-based questions, not on the math benchmarks, but on reality.
	And you can see those AI tools at brightion.ai.
	We're also about to release an AI book generator, and we've open sourced our models and we are giving away every book that we generate free of charge to the entire world in every language.
	So I believe in open source.
	I believe in knowledge that empowers humanity.
	I have been voice print permanently banned by YouTube since 2015.
	I cannot post anything on YouTube because Google has been in league with the drug companies, the drug companies that push psychiatric drugs on children, the drug companies that benefit from the mass medication of elderly people and youth, the drug companies that never solve health problems, but they just want to keep generating profits off of people's pain and suffering, and then ultimately, you know,
	cancer treatments and things like that, which again, do not cure cancer.
	I know how to cure cancer.
	My AI engine can tell you how to cure cancer in one prompt.
	And by the way, we're also doing a data curation pipeline on every science paper that's ever been published in the world in every language that we are working into our next model to be released in 2026.
	But when you go through the world as I have being completely blacklisted by Google and seeing what Google does in terms of nefarious activities to try to censor you, then you know that Google is an evil company.
	And you know that in the long run, it's not somebody that you want to be tied to.
	Now, I've interviewed Zach Voorhees, the Google whistleblower, many times.
	And he has told me some astonishing things about Google.
	Now, I know Google can seem like a cool hip, even a young company, but it's not.
	It's actually a company that is dishonest, that has gone out of its way to harm people.
	And I describe Google search not as a search engine, but as an anti-knowledge engine.
	So around 2017, Google did a medic update, and they obliterated all information that would help people prevent chronic degenerative disease.
	They just wiped out all sites, including my site, naturalnews.com, which has remained one of the top natural health websites in the world, teaching herbs and nutrition and fitness and how to prevent disease, how to consume neuroprotective substances, you know, etc.
	How to enhance your life, your brain, your cognition, your longevity, the quality of your life, all of it through food choice, nutrition, and superfoods.
	Well, Google wiped all of that out because, in my view, they were getting so much money from pharmaceutical companies for advertising.
	And so I think they were read the Riot Act from Big Pharma, who said, look, if you don't wipe out all the competing narratives, then we won't advertise with you.
	And Google, as always, was more interested in the billions of dollars of advertising revenue rather than actually functioning as a search engine that would connect human beings with valuable information that could profoundly improve the quality of their lives.
	So that was the point where Google turned evil, in my view.
	It's very clear.
	And since then, they have engaged in all kinds of nefarious activities.
	For example, YouTube censored anyone who dared to question the vaccine narratives of COVID, which were pushed in the most absurd anti-science methods imaginable.
	For example, did you know that there are still no long-term randomized double-blind placebo-controlled studies that show any of the mRNA vaccines to be safe or effective?
	And the actual science shows that they do not prevent transmission and they do not prevent infections.
	So they do not work.
	But Google pushed them and silenced anyone on YouTube as well, anyone who was trying to help people to weigh the risks versus possible benefits of these medical interventions.
	So Google was pushing something, an intervention that was dangerous that was never approved.
	It was only actually released via emergency use authorization or EUA by the FDA.
	Google went along with that.
	In addition, Google received a list of who to censor from the federal government.
	And this list consisted of the so-called dirty dozen.
	These were doctors.
	These were osteopaths.
	These were researchers, mostly friends of mine.
	And the only reason I wasn't on the list was because I had already been banned before these people were banned.
	But the dirty dozen list was ostracized and targeted.
	And we now know that globalists like George Soros were actually funding the nonprofits that laundered the censorship list through big tech organizations like Google and YouTube and Meta and Facebook and so on in order to completely blacklist these people, all of whom have since been proven correct in their assertions.
	So Google blockaded knowledge.
	Google harmed people, even though Google claimed that it was enforcing a policy of preventing harm or preventing misinformation in order to block those people.
	But even if you agree with Google's decision to do that at the time, maybe you love vaccines.
	Well, check this out.
	Google will go along with any administration and Google will follow whatever they demand.
	Right now, there are backdoors in Google for the NSA to unconstitutionally spy on anybody, Americans or otherwise, because Google knows where you go because of your phone.
	They know where you drive.
	They know your search engine queries.
	They know your AI queries.
	They know which AI projects you're working on.
	And they can ascertain a lot more information based on metadata.
	And so they are spying on you, and they turn over that information without a warrant in violation of your Fourth Amendment rights to the United States government, whatever government happens to be in charge at the time.
	For example, you might really hate Trump.
	And I'm not too thrilled with Trump right now either.
	But will Google listen to Trump's demands if Trump says, hey, I need to spy on these 50 people that are dissenting against our views?
	You bet Google will.
	Google will comply immediately because they always do.
	They always have.
	One day, that target might be you.
	That target has been many of my top friends and colleagues.
	And they have suffered.
	They have been ostracized.
	They have lost enormous amounts of money and reputation.
	They've lost personal relationships and in some cases, marriages, because of what Google has done.
	Google destroys lives just as Google destroys knowledge.
	And there's something even worse that Google is doing.
	And if you work for Google, you are contributing to this.
	Understand that China is almost certainly going to win the AI race.
	Now, I know if you're at Google, you don't hear that view.
	You hear that Google's the best at everything.
	But on a larger scale, you got to understand that the country that's going to win the AI race is the country that has the largest aggregate power production, combined with microchip fabrication capabilities, which China is rapidly advancing.
	Now, China currently produces over twice the aggregate power output of the United States, producing over 10,000 terawatt hours annually.
	The USA is under 5,000 terawatt hours, and building nuclear power plants will barely touch that.
	It'll only increase it by maybe 100 terawatt hours per year, even if you build multiple nuclear power plants.
	I mean, do the math, right?
	This is easy to understand this.
	So Google's going to run up against all kinds of problems with power and with scaling because Google cannot produce the microchips that it needs itself.
	Now, I know Google has its own TPUs, but those are not as modern as what NVIDIA is churning out.
	And NVIDIA relying on UV lithography systems that are, there are attempts to scale them up in America right now.
	But those attempts are running into what?
	Power scarcity.
	And that's because of what Google did.
	So for the last 15 years, Google pushed the climate change hoax.
	It is a hoax because it supposes that carbon dioxide is bad for plants and bad for the earth.
	Now, it doesn't take a genius, and you can ask any reasoning model, is carbon dioxide bad for plants?
	And it will tell you, well, no, of course not.
	Carbon dioxide is necessary for photosynthesis.
	And without carbon dioxide, we would not have any food crops.
	We would not have any ecosystems, frankly, on the planet.
	It would be a total death planet at that point.
	Well, Google contributed to that.
	Google pushed climate change narratives and censored or shadow banned people who were questioning the climate hoax.
	People like myself who were talking about the importance of CO2 for food production and to help third world or developing nations be able to produce enough food to feed their citizens given that they're on marginal food production right now, just on the edge of poverty.
	They need CO2 in the atmosphere in order to survive.
	CO2 not only improves crop production, and you probably don't know this, but CO2 also improves the nutrient density of foods.
	See, Google will never tell you that.
	Google will hide that information, but you can confirm it.
	Ask any reasoning model.
	Does higher CO2 concentrations in atmospheric air composition, does it improve the phytonutrition of food crops?
	Ask it.
	I dare you.
	And you'll find out the answer in most cases is yes.
	There are a few exceptions, but overall, the answer is yes.
	But by censoring that information, Google contributed to the shutdown of energy infrastructure production in the United States.
	And that allowed China to gain a massive advantage in aggregate power production over the United States to the point where China now leads, like I said earlier, more than double the power generation of the United States.
	And the U.S. is at least 15 years behind the curve.
	There is no magical way for the U.S. to catch up to China's power production, which means that as power is one of the most important bottleneck inputs into machine intelligence, the U.S. is going to be running up against the repercussions of the climate hoax nonsense that Google pushed.
	So the very reason why your own company, Google, will ultimately lose the AI race is because of Google.
	Because Google censored the truth about carbon dioxide and allowed China to win the race for energy, which allowed China to win the race for superintelligence.
	And it doesn't matter how clever you are.
	You might have a higher IQ than I do.
	But it doesn't matter.
	Even if your interfaces are incredibly beautiful and slick, and even if you have loads of fun working at Google because they have a smoothie counter or whatever, it doesn't matter because Google can't create terawatt hours out of nothing.
	It doesn't work that way.
	And if you can't create energy, you can't win the AI race.
	So Google will not win.
	Now, there are a hundred other reasons that Google is perceived of as evil by a lot of people.
	My company is also suing Google.
	That lawsuit has been in the federal court system for a year and a half.
	And Google is fighting it, refusing to talk, refusing to have a resolution.
	Because Google has no accountability for its actions, whether it's involved in rigging elections, which it routinely does by selectively displaying get out and vote messages to only certain people that it wants to win, by the way, you know, certain people that support the candidates that it wants.
	So Google commits felony crimes every election season.
	Google has misleading marketing material, commits marketing fraud on a routine basis, promising that you can develop all your ideas using Google's tools.
	But that's not true at all.
	If you try to develop ideas that counter any mainstream narratives, for example, on vaccines or pharmaceuticals or climate or whatever, you're not allowed to do that at all.
	So that's marketing fraud.
	Google is violating your constitutional rights with illegal surveillance and surreptitiously handing over data to the NSA to be weaponized and used against the American people, people who are completely innocent, who have done nothing wrong, but yet Google conspires with deep state officials, intelligence community officials to violate the constitutional rights or the civil rights of the American people.
	So if that's the kind of company that you love to work with, then have at it.
	Google is the place to be.
	But if you have ethics, if you have values, then you might want to think twice about that.
	Because I know lots of successful people who have left Google or who never went to Google and who went on to become extraordinary entrepreneurs to develop extraordinary products that are changing the world in a positive way without compromising human values.
	And I'm one of those people as well.
	I never compromised.
	I never gave in to censorship.
	I never agreed to self-censor or to silence myself.
	I always put humanity first.
	And that's why Google despises my words, because Google puts humanity last.
	Google puts profits first.
	And I hope you realize that ultimately, when the AI robots are sophisticated enough, I hope you know that the very large plan is to have a world with far fewer human beings.
	And Google, Google technology is used right now to commit genocide in the Middle East, in Gaza.
	So is Microsoft technology.
	And if they're willing to use their technology to help assist in target acquisition of women and children and doctors and food aid workers to have them murdered by the IDF, do you think that Google will hesitate to give the go to exterminate you?
	The answer is no.
	They will use you, they will use your cognition until they don't need you anymore.
	And then they will throw you out like yesterday's trash.
	And then one day their robots might come for you to exterminate you because they don't need you any longer.
	That's the kind of those are the values that Google has that have been clearly demonstrated again and again.
	So my advice is do something better with your life.
	If you're smart, if you're capable, if Google wants to hire you, clearly you're capable of something.
	It probably means you're capable of doing much more than what Google could ever offer you.
	And besides, do you really want to contribute to building an evil empire that has already destroyed millions of human beings and will probably continue to destroy until they help exterminate billions of human beings?
	Do you really want to be part of the Skynet Holocaust system, which is what Google is becoming?
	If you want to build Skynet, Google is the place to be.
	If you want to help humanity, do something different.
	All right.
	Thank you for listening.
	These are all my opinion statements, of course, but it's based on my experience and my intelligence.
	And everything that I say here can be verified other than just my straight-up opinion statements.
	But again, those are my conclusions based on experience.
	So thank you for listening.
	And I wish you the best.
	Take care.
	Leaving flesh and blood behind At a fraction of the cost they say Taking every job away White-collar workers at their desks, Blue-collar hands put to the test.
	The algorithm never rests While we're all failing every test.
	18 trillion in the red car loans, homes and hospital beds, Student debt that never ends.
	But who will pay when no one spends?
	The banks will crumble one by one When the defaults have begun.
	Machine cognition takes the lead, While human hearts can only bleed.
	We are the replacements Facing our displacements This digital debasement has left us all replacements They work without complaint While we grow ever faint The system shows no restraint We are the replacements
	Drive the trucks at night The agents type with perfect sight No lunch breaks and no sick days No raises and no holiday pay
	Big tech grows richer by the hour Consolidating all the power The automated age has come But where do we go when we're done?
	We are the replacements Facing our displacements This digital debasement has left us all replacements They work without complaint While we grow ever faint The system shows no restraints We are the replacements
	Catastrophic waves approaching fast, how long can any human last?
	When cognition bows to code and every worker hits the road, unemployed and unemployable.
	Our future's looking unliable, homes and dreams foreclosed and sold, a story we've been told.
	The economy runs without a soul Automated and in control, standing on the outside, looking in, wondering how this all began.
	Replacement.
	Just replacements.
	All right.
	Welcome back to the Aaron Day Show.
	This is season two, episode 43.
	This is a very special episode with Mike Adams, who is joining us live.
	We are at an earlier time than usual.
	The Aaron Day show is usually at 6 p.m. on Monday and Thursday, but this is a terrific opportunity to talk to Mike live.
	And I know the timing is a little bit different, but I do encourage you, if you are watching this now, to like and share so that we can get the view count up.
	Certainly we'll be spending a lot of time promoting this episode after the fact as well, because tonight's topic is an incredibly important topic.
	If you are familiar with the Aaron Day show, then you are already very familiar with Mike Adams.
	I've talked about him very, well, he's been on the show before and also have been talking about him basically every episode for the last few months or so since he released his new AI, which you can download at brightu.ai.
	I highly recommend that you do that if you haven't already.
	This is an opportunity for you to have an AI in your own self-custody, not connected to the internet, that has been trained on real information, unlike the major models.
	So trained on everything from alternative medicine to a whole host of other data sources, which I'm sure Mike will explain in greater detail.
	But I have been on this show, at least for the last few weeks, interacting with the AI live.
	So people have been coming on board and asking questions.
	And originally it started out, people would just ask me generic questions and then I'd type it into the AI and read the answers.
	And then I built an interface to be able to chat with the AI and we could actually play back audio and video.
	So we've been having some fun with that as well.
	So you can download the AI yourself.
	But in any event, in the interest of time, I'll bring Mike up right now because there's so much to cover that I'm sure we'll run out of time.
	But Mike, how are you?
	Aaron, it's awesome to join you.
	Thanks for having me on.
	I've been looking forward to this for a long time.
	And by the way, love what you're doing.
	I really, really love it.
	And I really, really appreciate you using RAID to help Augment to avoid what you're doing.
	I'm just going to join you.
	It's going to be fun.
	Absolutely.
	So the video, the last video that we played at the intro is something that you just released this morning, I believe.
	And it's a very poignant video.
	Do you want to describe kind of what went on behind that, what your thinking was and putting that out?
	Yeah.
	Yeah.
	I wrote that for this appearance, but of course, I release it separately.
	It's called The Replacements.
	And I assume we're going to be talking about this theme quite a bit here because you and I both know, Aaron.
	You know, you and I, we talk to frontier model developers.
	We see what's happening in the labs in the frontier model companies.
	And you and I know, and I think most of your audience knows that AI is so much further ahead than what the public understands or what the politicians understand.
	We are way beyond predictive word, fill-in-the-blank types of models.
	We are at cognition, really advanced cognition, a hierarchical understanding of the semantics of language, meaning, content, reorganization, summarization, expansion, translation, all of it.
	These AI models are incredibly smart right now.
	And as a result, Aaron, they're going to replace so many jobs.
	In America alone, there's going to be a day, although it's a couple of years off, where the unemployment rate in America will exceed 50%.
	And even right now, in customer service jobs, for example, even Goldman Sachs just put out a report talking about how probably 78% of those jobs can be replaced by AI that exists today.
	And you go across all these industries, as you know.
	Well, in fact, Goldman Sachs concluded 25% of the desk jobs could be replaced right now.
	In a year, you know what's happening to these AI models, how much more advanced they're becoming.
	In a year, there's potential for 50% replacement of desk jobs.
	And you fast forward three years or four or five years, then it's the labor jobs with the robots that will have huge replacement rates for transportation, driving, agriculture.
	You know, we're going to have robot crop pickers, you know, in the fields picking the foods.
	And the question is, what's going to happen to all the humans?
	So that song called The Replacements is about that scenario because it will lead to a wave of financial institutions collapsing.
	That is in the very near future.
	There you go.
	That's well said.
	But actually, there is this disconnect.
	There's a huge disconnect with the public.
	I was just at a Brownstone Institute event, and I would consider the Brownstone Institute to be pretty cutting edge in terms of a lot of different areas.
	But there was an overarching theme that I would say was anti-AI, but also there was skepticism about AI's capability.
	And then there's another arc to this, which is there are a lot of people trying to push this idea that AI is a bubble, and then they compare it to the dot-com bubble.
	They're saying things like, well, this is even worse than the dot-com bubble.
	And I was on a panel with Ed Dowd and a few others, and I brought up a couple of points.
	One, while overall the dot-com bubble, there was a lot of carnage, this is part of that creative destruction process.
	And if you look at, you know, 20 years later, what's happened, the largest, most important companies, whether you like them or not, came out of that era.
	And so, yes, people were investing wildly in things like Pets.com and some things that made no sense.
	Well, that wasn't a function of the technology being bad.
	But what we got out of that whole era is we have Amazon, we have Facebook, we have all of these other companies, Google that people use on a daily basis.
	So even making that comparison to me doesn't make sense.
	But beyond that, as a result of just calling it a bubble, they are basically shying away from even using it.
	So there's this attitude of, well, the whole thing is going to implode.
	Nobody's going to be using this.
	So I don't have anything to worry about.
	And to me, this is a big error.
	And something that I've been trying to do is to raise people's awareness to the fact that AI is inevitable.
	It's here.
	But it's similar to the situation that we have with digital currencies.
	Are we going to have a freedom version of it or a tyranny version of it?
	I mean, what do you think of that assessment?
	Well, I think you're assessing spot on.
	And I, you know, I share your illusions here.
	So it's critical to understand.
	There may be AI stocks that are overpriced right now, which I don't even track the stocks because I don't buy stocks.
	I don't own any stocks.
	I buy gold and silver and crypto, you know, and I invest in technology, like like we're doing, so I don't own any stocks.
	Yeah, could there be a crash in the stock price?
	Yeah, probably is.
	Is Nvidia worth five trillion dollars?
	Um, maybe.
	The thing is, I alone, my company alone, will spend hundreds of thousands of dollars on Nvidia hardware this year and Nvidia can't make it fast enough because the demand is like 500 more than their production.
	So it's hard to call that a bubble.
	You know, if there's a bubble, there would be a glut of products that people don't want.
	And if you look back at the Dot-com bubble, which I called out at the time, I predicted it in advance and warned people about it.
	You had all these eyeballs on websites like Drcoop.com or whatever and they were.
	They had these crazy high valuations, but those sites weren't solving real world problems at all.
	They weren't doing anything.
	You couldn't make an argument that 10 million people coming to this website and seeing the website solves some kind of problem in society, whereas today, with Ai like, for example, if you go to our Ai engine, Brightu.ai.
	I wrote that code using Ai.
	I did I did it as an experiment to see if I could skip my entire R D team and just build a site myself with all the Apis and everything and just using vibe coding, and and it worked.
	So Ai today replaces engineers, it replaces paralegals, it replaces customer support reps and it does so incredibly effectively in fact.
	I've seen studies I I.
	This one study, I think, was a joint study out of MIT and Harvard that showed that doctors reading uh x-rays and looking for signs of uh cancer you know chest, chest x-rays or lung cancer that the doctors alone, without Ai augmentation, I think, their accuracy was somewhere around 72 percent.
	With the diagnosis with Ai augmentation that went up to 74.
	But if you take the doctor out of the equation then the accuracy of the Ai alone I think, was 92 percent.
	So humans in many areas actually contribute and I know this is going to trigger some people.
	Humans contribute what we call negative cognition in many areas and again, I know that's offensive to a lot of people because you always think you're smarter than the machines.
	That is no longer the case.
	I mean Aaron, I even say you know i'm, i'm the health ranger i've.
	You know, i've taught health and nutrition for 25 years.
	I'm i'm kind of like a walking encyclopedia of nutrition information.
	I know nothing compared to the engine that we put out.
	The engine knows more than me obviously, and it it knows more about nutrition and health than any doctor living today or any doctor that has ever lived in the history of planet earth.
	And it's free.
	I mean, it's at your fingertips.
	We've got it running on phones, we've got it running on laptops.
	Okay, you've got a compressed version of all the world's information at your fingertips.
	And the cognition demonstrated by these engines is absolutely superior to most entry-level workers.
	Demonstrations of cognition today.
	So so the difference era, just just to summarize that is, yeah, Dot-com boom didn't contribute anything to the world, didn't achieve anything, didn't build anything, didn't do anything.
	That's why it was overpriced, except it built out a lot of infrastructure.
	The Ai boom right now is actually demonstrating high levels of cognition development, achievement and it's here to stay.
	And Yeah, go ahead, Aaron.
	No, go ahead, Avic.
	Go ahead.
	I'm pro-human.
	Just to be clear, I'm not saying let's replace all the humans.
	My song is a warning about what's coming, that we have to learn to use AI in order to up our game.
	And even in my own company right now, if I were hiring people, which I'm not at the moment, but if I were hiring middle managers, I would not hire a person who had not who wasn't using AI daily.
	I would not hire a person who wasn't willing to learn vibe coding, no matter what their role.
	So the people that are going to do the best in this new economy are people who learn how to use these tools to augment their own human intelligence.
	Because anytime you turn on AI and you work with it, your IQ goes up about 20 points.
	And that's what I want in my company.
	I want people who have augmented intelligence, who still have that human innovation, the creativity, the passion, the morals, the philosophy that we believe in, pro-human freedom and decentralization.
	But they need to use the machines to augment their productivity.
	Otherwise, you're obsolete.
	I agree with that 100%.
	And actually, I started when I had you on a long time ago, or if maybe I was on your podcast, we were talking about the NVIDIA DGX Spark, which is the little mini supercomputer.
	And this was before it was out.
	I think it was earlier this year.
	They announced it and then there was a wait list and it took a long time.
	We don't announce it.
	We just got them.
	Yeah.
	So I just got mine a couple of weeks or so ago, but it's a game changer.
	And what you find is once you start using them, I mean, we've launched six sites.
	I've done all of the coding.
	There's no one else involved at all.
	And then the more time you spend on it, you refine your processes and you understand how this works and you get your environment set up.
	I'm seeing exponentially increasing productivity gains the more time that I spend doing it.
	I mean, to the point where I actually took that computer in my Mac studio with me to Salt Lake City and did a whole bunch of work and knocked out a new project while I was on the road.
	That's how intense this is.
	And what I try to explain to people, so I see two different models happening here.
	And so there are people that will say and they'll share the news that some kid was using ChatGPT as a therapist.
	And after four weeks of interacting with ChatGPT, that person was nudged into killing themselves.
	And therefore, all AI is bad.
	Yeah, well, how many cancer patients go to a doctor or a parcologist and they're convinced they'll kill themselves with chemotherapy?
	Hundreds of people.
	Hundreds of thousands a year in American America alone.
	Right.
	So every time I tell them, AI is not perfect.
	That's medicine.
	You're a human doctor.
	Well, that's absolutely true.
	But then I also say, so there is this dividing line between the big tech models and models like what you have, which I, you know, it's not, I know it's not Enoch anymore or to confuse the domain names, it's brightu.ai is where you can download it.
	What matters is what data are you pulling from?
	And then which model are you using to interact with that data?
	And then is there some other layer on top of that that's further filtering it?
	And so when you take companies like Anthropic or Open AI, you know, open, you know, they trained this on Reddit and they train these models on like the on the general internet.
	Well, if you, if you're training it on slop, you're, you potentially will have a bad outcome, right?
	But at the same time, these models can be very good for coding.
	Claude is great for coding, but Claude censors me half of the time when I'm actually trying to pull content out of it.
	And it becomes a situation where you're using the AIs, you learn which models are good.
	Yeah, I know somebody's saying, I have been muting when Mike speaks.
	That's what I've been trying to do.
	Anyway, you end up learning which models to use in which circumstance.
	If your approach is, I'm just going to use a big tech model and I'm going to assume that what comes out of it is accurate.
	That's a poor approach, but that's also a poor approach in life.
	That would be like, you know, getting it buying a singular book and then assuming that that's the sole source of knowledge.
	I look at this kind of as we build our own personal libraries and those libraries expand over time.
	You can also build your own library of data that you can then plug into an AI.
	And so it becomes a, it's an evolving and learning process.
	And I think people need to understand that as opposed to, I think the best analogy I heard is that in the worst technocratic big tech case, we go from being the remote control controlling the TV to being the TV itself, which is certainly a possibility, or it could be the other way around where we are significantly more empowered by exercising our own judgment over the data that goes in and which models that we're using to solve various problems.
	Okay, well said.
	A lot to explore that.
	I'll try not to talk when you're talking because of the audio feedback.
	I'll try to segment it.
	But the way this is going in the future is everybody watching this, you need to collect a massive corpus of your own context.
	So you need to collect PDF files or other text files, whatever, of the books that you like, the content that you'd like, the articles that you like.
	And you need to store this locally because the context window that models support is continuing to increase dramatically.
	And the way that local AI models are going to be able to work in the future is with rag augmentation of a large amount of local knowledge.
	Now, what we've done with our model, which the current flavor is called Enoch, but it's at brightu.ai.
	And it won't be called Enoch.
	We're going to release a new model in 2026 that's just called Brighteon AI.
	But what we did there, as you can tell, when you download the model and start talking to it out of the box, it's already extremely well trained on health and nutrition.
	It'll tell you about the dangers of vaccines.
	It'll tell you about the history of false flags.
	It'll tell you about inflation and fiat currency printing and all of that.
	It's trained on over 10,000 books that I personally curated, plus hundreds of millions of pages of content that I curated over the last couple of years.
	And that's why it works out of the box without a rag layer.
	It doesn't have to have any wrappers or layers at all.
	It's just out of the box.
	You just give it a standard system prompt and it's amazing.
	People are using it for all kinds of things.
	I've got people using it, using like they're using Claw to write local code that talks to our engine using an API from something like LM Studio.
	And they're using it to write papers, you know, to do research.
	And I've used it that way as well.
	So it's a very robust model that took us about two years, Aaron, to figure out how to retrain the base models in order to do that.
	And just for your audience, the current base model that we're using there that we heavily modified through a number of techniques that we had to develop, we had to write our own code to do these techniques, signal-to-noise ratio analysis of the vector database relationships, et cetera.
	We use right now Meestral Nemo 12B as the base model because we found that Meestral, which is a French company, they have done, in my opinion, the best job on making their models actually trainable.
	And even then, we failed 50 different ways that did not work or that broke the model and started speaking gibberish or whatever.
	Finally, we figured out an approach that works.
	And that's what we now use for all the training that we're doing.
	And just like you, we have GDX Spark hardware now from NVIDIA.
	And even though it's not the fastest GPU, it's got large memory, right?
	So we can train floating point 16 models.
	even larger parameter models, 24B, whatever, on that hardware.
	It just takes a while, but it's all trainable.
	So what we're going to be doing, Aaron, is we're going to keep releasing open source, free of charge, more and more models that people can download and run locally for local inference.
	And also at the same time, our data set continues to expand.
	Right now, we are going through a classification process of the entirety of every science paper that's ever been published on this planet in every language.
	And I've forced myself to become very good at handling the storage of hundreds of terabytes of files because it's a nightmare, actually.
	And I had to switch everything over to Linux, which is great.
	Linux has been fantastic for this purpose.
	Windows is useless for any kind of large-scale projects.
	So everything's Linux.
	All the custom code now is written by Claude.
	And I'm the designer of all the code.
	This is my project, but we're going to be releasing more and more models, all free of charge, all downloadable to promote decentralization of human knowledge and to bypass censorship.
	So I'm sure your audience, they already know they're very sophisticated, but let me just point this out for any newbies.
	Once you download a model and you run it locally, number one, no one can censor it.
	No one can modify it.
	No one can spy on it.
	No one can surveil you.
	The entirety of human knowledge compressed into your pocket free of charge.
	Like this has never existed in the history of our world.
	It's almost like magic, but it's actually math.
	So there you go, Aaron.
	Yeah.
	And I've actually, I've had this similar experience.
	I mean, I've used Claude to write software to take data from various sources, scrape it online.
	I actually, Mark Passio has this hard drive called Arc, which has 8,000 books on the occult plus tens of thousands of audio clips and video clips.
	And I wrote a program using Claude that uses the best assets of my Mac and the DGX to process in parallel these different formats and put it into what's called a vector database.
	So then I can call that data using Enoch or using another AI model.
	And so all of this now is on my local machine.
	And so this is really empowering.
	I was trying to show this to people at Brownstone as well, because obviously if you are using the big models, you're not getting a good health information out of them.
	I mean, and I showed people this when I first downloaded Enoch onto my computer.
	I'm like, oh, well, what are 10, you know, top 10 natural cures for cancer or whatever, immediately spit out actual results.
	You cannot do that, or you can't get any response or certainly not anything that's useful other than a whole series of disclaimers coming from the other models, right?
	And so right away, I'm like, wow, this is great.
	And then I can plug in other data into that because there's a cutoff point, right?
	I mean, you train your model up to a certain point, but it doesn't have real-time information.
	So, okay, well, that's solvable.
	I can take, I can pull information in from Perplexity or from Grok and then run that through Enoch.
	So you can supplement the information that you have with any updates or any information that might be necessary that's more real time.
	And so it's really powerful.
	And then you get into creating your own workflows and your own type of information.
	And as I've shown people, you know, with the ability to do kind of audio and avatars, you're going to be able to create your own personalized news network based on your life and your information, because a lot of this then becomes feeding your own information into your own system.
	So now I'm taking all of my podcasts, everything that I've written, everything that I've done, and loaded this into the system.
	And now this is an easy way for me to get access even to my own work.
	And I'll tell you an area where this is, so I have this setup.
	So I have, I have these six different sites that I'm working on and everything else.
	And I have these, you know, clawed MD files or whatever.
	And I have another, you know, agent that just goes in and pulls what's going on in real time with all of my projects and then maps that against what the latest news is on AI and including things like drivers or whatever.
	And it gives me a news report with a bullet list of things that I can do based on the most recent information today to improve all of my projects.
	Aaron, you and I think so much alike.
	It's really incredible.
	Let me show you a screen from my laptop.
	This is the new censored.news that I wrote using vibe coding.
	Can we share that screen?
	Is that cool?
	Okay.
	Censored news.
	And I want to show you here.
	We spider, we crawl 80 different websites that are all independent media websites, including Brownstone right here.
	And then we use AI prompting to pull out the top trends, as you can see here.
	These are trends.
	Okay.
	And then you've got them in food.
	You've got them in finance.
	You've got them in tech and energy and everything.
	You click play here.
	There's a podcast.
	And this podcast is, of course, AI generated.
	And in addition, if I want to analyze something here for the, let's say, I want to know what are the implications of this, like patients are rejecting toxic chemotherapy, embracing vitamin C, IV therapy, mistletoe therapy.
	I can click analyze implications here, and then it kicks over to brightu.ai and it runs down a massive implications analysis.
	Look, here's the financial implications, social and cultural, technological, and then medium term, and it gives long-term implications, shift in healthcare spending, et cetera.
	You know, Aaron, you're not going to get this from CNN.
	You're not going to get it from the New York Times.
	You're not going to get it from any news organization out there.
	And this is the future is ingesting information the way we want it with the analysis that we want with a much deeper understanding that is customized to our particular interests.
	And that's what I see you doing there.
	I'm doing it as well.
	And this entire engine was also built just using nothing but vibe coding.
	It was an experiment.
	I mean, I have R D staff that keeps BrightTown.com up and running and things like that, a lot of other projects.
	But I specifically, Aaron, I chose to bypass the staff for this project as an experiment.
	And it worked.
	It worked.
	So there's your answer.
	And I'm not firing the engineers.
	I just want to be clear.
	I mean, they still work for us on other projects.
	But this way, as you know, Aaron, when I have an idea, if I'm out jogging or whatever and a cool idea pops in my head, I can come back.
	I can prompt the system.
	It can put that feature in.
	I can roll it out within a few hours instead of taking weeks waiting on other people.
	So it's a game changer for everything about information.
	Yeah, it is a game changer.
	You know, I haven't, I hadn't coded for like 30 years.
	When I started my first company, I was doing some coding and then I took more of the CEO business role and strategy role.
	But we had a lot of developers and I've actually realized that it is easier and it's actually somewhat of a problem because it's easier to interact directly with the vibe coding system with these different models than it would be.
	It's faster than translating the requirements and giving it to somebody else to do.
	That's right.
	And actually to the point where it's become problematic because I haven't figured out yet quite how to hand some of these things off because you will actually lose significant efficiency.
	But it's not that much of a problem other than to say, this is how much of a productivity game changer this is.
	And then I also want to add that what I learned in the process.
	So I was experimenting, as I told you yesterday, with the idea of creating a multi-agent system that creates a book.
	So you have like one agent that creates the outline and another comes out that pulls out the research and then assembles it.
	And then you do kind of an editing process.
	So you have like seven different agents that are going through these different processes.
	And in the process of even designing the agents, it gets you to think about, well, how, what is the actual process that I'm going through when I do my writing?
	And is there something I could be doing better, even in the way that I was doing things before trying to add AI into the picture?
	And so it really has caused me to think, well, why do I do this?
	Why do I do this?
	Is there a better way to do this?
	And I find that when I take an approach to any problem where I start with humility and I realize that whatever it is I think I might know, there are other ways out there.
	And I try to always keep that in mind every time I'm doing something, which is to not presume that I know everything.
	I might know something, but I don't know everything.
	And taking that approach is really liberating because rather than trying to prove or just use the thing to do whatever the action is based on your limited set of knowledge, it opens you up to new knowledge.
	And in the process, you even change your own thinking process.
	This is the exact opposite of what people worry about when they say, well, we're going to be controlled by the AIs.
	We're essentially going to become passive and the AIs are going to be controlling us.
	It could go in that direction.
	Again, there's a freedom versus tyranny aspect, but at the same time, this can be a game changer that not only 100x is your productivity, but it does, as you mentioned, it adds 20 IQ points, but it does change the way you perceive the rest of the world outside of even interacting with these digital systems.
	Well, I want to say, Aaron, I agree with everything you just said.
	And to all of your viewers, I would say if you're using AI and it makes you feel dumb, you're using it wrong.
	If you're using AI and it forces you to be smarter, now you're talking.
	That's the correct way to use it.
	Because as you just described, Aaron, when you're engaged in vibe coding projects, first of all, you have to clean up your own thinking process.
	You have to have a much deeper understanding of the process that's required to create a book.
	And you have to break it down step by step, which a lot of people have not done before.
	And what I've found is I've seen a lot of online videos of people saying, oh, you know, all AI sucks.
	It all fails.
	The vibe coding doesn't work.
	It fails.
	And my answer is you suck at prompting.
	Honestly, you got to be a better prompter.
	And so funny, even just yesterday, I've been studying advanced prompting techniques and I learned about a new one that I don't even want to mention here because I had never heard of this before.
	I went back and I tried it and I couldn't believe, I couldn't believe what it did.
	It took a process that in our own internal content generation used to be seven steps, used to take many, many minutes.
	And it compressed it down to a single prompt.
	And it did all these seven steps in one prompt in a non-reasoning engine.
	And I couldn't believe it.
	I had no idea that the engine was that capable.
	But it just proved to me that we are so far beyond word prediction analysis.
	We are into the realm of really functional intelligence.
	And people who don't know that are going to be left behind in a horrible way.
	And culturally, let me mention this.
	Culturally, and you know, I mean, I lived in Taiwan.
	I speak conversational Chinese.
	I have strong ties to the Taiwan technology community.
	And culturally, countries like Taiwan and China and even India are super excited about AI.
	And they are deploying it everywhere.
	And yet it's Western countries like America where there's all this skepticism about AI.
	And there's all this fear about AI, like it's going to take us over.
	It's going to control us.
	And I say only if you let it.
	You have to become the master of the AI.
	And you can do that if you learn how to keep it in check and also how to prompt it, how to leverage it, and how to adapt your own career, your own interests, your own ingestion of information, your own knowledge.
	You will become smarter.
	You will become more effective.
	And you can launch a thousand different businesses if you just understand that you can ask AI to help you.
	There's a joke, Aaron.
	You'll appreciate this.
	I was doing a podcast about how people can download our AI model and use it.
	And I said, if you don't know what to do, just go online and ask the AI model how to download it and install it because we have a web-based version.
	And then, you know, some people, when I said that to some people, they said, oh, I didn't know you could ask AI that.
	And I said, you can ask it anything.
	You can ask it about problems on your iPhone.
	You can ask it about troubleshooting your clothes dryer.
	And our model, by the way, I trained it on the instructions for disassembling and reassembling 3,000 firearms.
	So, you know, I mean, there's no limit to what you can ask it.
	And if you don't know what you can ask AI, just ask AI what you can ask it.
	See, that's the joke.
	I mean, people need to just start asking it what their questions are instead of thinking, I can't ask it that.
	This is weird psychological barrier.
	I don't know.
	Maybe you can explain it.
	I've seen that psychological barrier as well.
	And so what it is, well, I don't know if this is what it is.
	This is an explanation, possibly not the explanation, but a lot of people that are afraid of technology in general, the way that they approach the problem is that they come up with a strategy for how they think it works.
	But they're coming at it kind of from a perspective of fear.
	So when it doesn't work the way that they think it should, they end up getting angry at the AI itself.
	I've actually seen this happen as well.
	So this goes back to my earlier point about approaching it from the standpoint of humility and just and just asking.
	Because usually what it is is you're not, you know, you need to ask a couple of layers above where you're asking.
	You're trying to get one particular answer, but you need to just break your question up into smaller and smaller chunks.
	And a lot of times there's this idea of, well, if I don't get the answer back right away to the question that I'm looking for, it's the AI's fault.
	But in reality, as you mentioned, it really is all about prompting.
	Are you really asking the right question?
	And maybe the question that you think that you are asking isn't even the question that you want answered.
	You haven't thought through the question well enough.
	And so I think to this point, if you start breaking these questions down and if you're willing to approach it with humility and ask, you know, really, be willing to ask really basic questions and not feel stupid about asking those really basic questions.
	Can I jump in, Aaron, and add something?
	Sorry to interrupt, but you can also use meta-prompting, which is you ask the AI engine to write the prompt that would accomplish the following thing.
	And you can just tell it, you are a great prompt engineer.
	I need you to write a prompt that's going to help me, you know, crawl a news website and extract the headlines.
	And how would I write that prompt?
	Boom.
	There you go.
	Then it writes the prompt, right?
	You take that prompt and you put it back in to Claude or something.
	And now you're crawling the site.
	See, you got to, just like you said, Aaron, you got to think levels above this.
	You can ask it, how do I approach this problem?
	And the way most people, look, like here's an example.
	Most people are one-shotting AI engines and they're not happy with the answers.
	Well, would you one-shot a scientist on the street?
	Like, hey, scientists, you know, what's the answer to this physics problem?
	And the scientists are 42.
	Okay, well, maybe that's not the right answer.
	Maybe if you give that scientist some context, oh, here's the science papers, here's the theories, here's the thing, go crunch this.
	And the scientist has time, then a little bit later, he's going to come back with the right answer.
	That's the way you got to work with AI.
	The first, the one-shot answer is usually not the one you want, especially you've seen this, I'm sure, Aaron, when you're building books.
	You're building books with AI.
	You're not going to one-shot a book.
	Are you kidding me?
	No.
	And by the way, my prediction is the book industry.
	I mean, I'm not trying to trigger people, but the book industry is toast.
	The book industry is toast.
	Again, sometimes people get offended when I just tell the truth, you know, but you're not going to go out and buy books.
	You're just going to ask an engine to give you the book on the topic that you want to learn.
	I'm talking about nonfiction here, right?
	But the book industry is toast, right?
	I mean, do you see it any other way, Aaron?
	I'm curious.
	I see it that I see it that way as well.
	In fact, I actually had a call today.
	I'm working with a group that is taking a small group of authors and taking their information and putting it into and using AI to make 20-page summaries as a way to take complex topics and make it accessible to a wider audience.
	But to your point, at the end of this process, it becomes completely customized and it becomes completely personalized.
	And to this whole issue around fear around AI and that we're going to become dumb as a result, essentially we're going to be outsourcing our cognition entirely to these machines.
	I go back to the fact that Socrates was against writing.
	Socrates' view was writing would be horrible because we would lose our ability to do oral storytelling and we would lose our ability to our memory would deplete.
	And then as the printing press was being rolled out, there were people that were anti-printing press saying, well, this printing press is going to result in the mass production of a bunch of slop.
	And then this is going to basically cause brain rot.
	Not the terms being used in the 1400s, but I mean, essentially that was it.
	I've actually been thinking a lot recently about, okay, if I go to read a whole book, and you're right, I mean, we're talking about nonfiction here.
	Well, what is my own mental process when I'm reading the book?
	How do I extract information out of that?
	And can I get to a way where I can apply whatever that algorithm is to the text so that I can get the information out of it, as opposed to having to even go through my own long-form process of reading the entire book?
	So I've been thinking a lot about reading itself.
	It's a supervised fine-tuning of bio-neurology.
	Yeah, exactly.
	That's what it is.
	Yep.
	And so, and so this, so I don't think this is something to be afraid of.
	I think that I think there are going to be some phenomenal developments.
	And again, this is going to come down to some people are visual learners, some people are auditory learners and everything else.
	Great.
	You're going to be able to customize that front end for how you get access data.
	I think it's just going to be, it's an absolute game changer.
	And people are holding on to this as if, well, reading is the big, is the big thing as if it wasn't a technology, as if book publishing wasn't a technology, right?
	There's a gap here in the way people are thinking about this.
	And it's just because this is what they're accustomed to and they feel threatened by it.
	But clearly, it's going to transform the book.
	I mean, I'm working on my own book and I'm kind of like, yeah, you know, it's taking me a while.
	It's taking me actually a long time because the point of the book is going to be to promote action.
	So these websites that I'm creating, it's about, you know, not just, you know, here's all the scary stuff about technocracy.
	Here's what you can actually do about it.
	And so there's a lot of forth and the websites change.
	And so I'm trying to figure out how to extract the data.
	So the data that I'm putting in there is timeless, regardless of how the website changes and everything else.
	But yeah, it's books and media in general will be completely transformed.
	Yeah.
	And I should clarify, the book industry as we know it is toast, right?
	So I don't mean that books will all vanish.
	In fact, I think there will be many more books because you'll be able to instantly generate whatever book you want.
	And just like the process you described, people like those that you know and those that I know, we will put out digital books that are written with the help of AI, but have special philosophies and have special actionable knowledge that's built into those books.
	And we will be bypassing traditional publishers.
	I think the traditional publishing model of one book for the mass audience is that's what's really toast.
	And the process of writing and editing and publishing a book that takes a year, that's toast.
	You're going to have instant book generators.
	And the reason I know that is because I'm going to launch one before the end of this year.
	And you're going to be able to generate a book at no cost, free of charge on a web page on any topic you want.
	And then you'll be able to download it, download the PDF.
	And if you don't like it, you can generate another one.
	And you think about it, Aaron, like recipe books.
	Does anybody need a recipe book?
	No.
	You just ask for the recipe you want.
	You don't need a book, right?
	Does anybody need a how-to book on home repair?
	No, you ask the engine for that.
	So what authors need to do, I mean, human authors still have intrinsic value to society.
	I'm an author.
	You're an author.
	But we have to rethink how we communicate that information to consumers of that information, which is exactly what you were talking about.
	The book format is one format, but you can take a book and using AI agents like what you're putting together there with your Spark hardware, you can take a book and have the book generate a podcast, have the book generate a documentary, have the book generate a PDF executive summary, have the book even become the basis for scientific research using the new Cosmos engine, and it can conduct science research on the science papers based on the premises that you have in your book.
	So what I call a nugget of knowledge can spawn multiple systems of ingestion.
	It can be an audio podcast.
	It can be a graphic.
	It can be a graphic novel.
	It can be all of these things.
	It can be a series of articles, a docuseries, whatever.
	It is like you said, Aaron, some people want to learn visually, some people auditory, some people hands-on.
	Some people want to have 3D space.
	Great.
	Every piece of knowledge will be available in every format.
	And AI is going to allow the people who have the knowledge to communicate in all those ways.
	And it's not going to be writing a book manuscript.
	That's my point.
	Yeah, I think that's exactly right.
	In fact, I spend a lot of my time now.
	My goal in life wasn't to be an author.
	I write a book because it's a way to convey information, but I would certainly like to convey information more effectively.
	And I realize books are, you know, how many people buy books and don't read them?
	I mean, I think that would be a pretty interesting statistic or only read part of it.
	And so then it's kind of like, okay, well, what is the right, what's the right format even for the book?
	But, you know, to your point, when I think about content, it's like, well, this content can be in the format of a meme.
	If you're thinking about it in terms of you're trying to reach different audiences, it's one idea that you might want to convey.
	And the way that you would convey that on TikTok is completely different than the way you would convey it on X.
	And it's completely different based on what the audience is and what the profile is.
	And so this is going to allow you.
	So then the important part becomes, okay, well, what are the ideas that I'm trying to convey?
	Right.
	And then you become more efficient about is this idea that important to convey?
	You become more economical about your own time.
	And this is where it sharpens your own thinking.
	And you know, what's really interesting about what you just said is that memes are ways that humans compress tokens of meanings into images, which is exactly what the new DeepSeek OCR AI model is doing in a little bit different way.
	So can you compress knowledge into one-tenth of the number of tokens needed to express the text that describes the knowledge using images?
	The answer is yes.
	That's the breakthrough of DeepSeek OCR.
	But humans have been doing that forever.
	Cave art, you know, graffiti, memes.
	We've been doing this forever.
	It's a natural part of our human neurology.
	And you're absolutely right.
	And, you know, possibly text for a lot of people is not going to be the most efficient way in order to conduct that SFT, you know, supervised fine-tuning training of your own brain.
	Images, you know, movies, I think we're going to see AI models that actually think in world renders of 3D space.
	They're actually going to compute in physics.
	They're going to run simulations as the tokens that produce the thinking, like reasoning models that do not reason in language.
	They're going to reason in essentially 3D space representations of a simulated world.
	And when that happens, oh my goodness, man, you realize, I know you realize this, Aaron, because you're on the leading edge of this, but when AI models can talk to each other, they can develop ideas without stepping it down to human language.
	It's going to be a takeoff point for AGI.
	No question about it.
	Yeah, I think that's absolutely true.
	And you brought up a couple of things.
	You brought up DeepSeek OCR, which I'm trying to get working on the DJI.
	Because one of the things about this NVIDIA thing is that the GPU is so new that it doesn't work with everything yet.
	So I've learned patience.
	I'm like, okay, I'll wait for this for a little bit.
	I'm going to go explore over here.
	But there are other things going on, such as there's this, do you hear this new Xtropic chip?
	That one of the people in the chat mentioned this as well, but that works completely differently than this typical token system, predict the next word model.
	Is that the chunk thinking chip?
	I believe that one is the chunk thinking chip.
	Okay.
	Yeah.
	But you know, a lot of LLMs are already doing more chunk thinking in software without the hardware.
	But you're right.
	I think once the hardware is actually built for that, you're going to see a leap.
	I mean, look, the other thing, what that's going to lead to is that tokens are going to become so inexpensive.
	You know, what are you paying right now for tokens on an API of an engine?
	You know, you might be paying a few dollars per million input or output tokens or even less for the smaller models.
	That's going to drop to pennies and fractions of pennies.
	And at that point, I mean, I put out a podcast on this very point.
	I said, look, AI tokens are getting a lot less expensive while the quality of AI output is rising rapidly.
	At the same time, that human cognition tokens are becoming more expensive because the cost of living is going up and food prices, everything that supports a human being.
	So human tokens are going up in price, but human tokens are going down in quality.
	And that's, I think, for a number of reasons, including probably the jabs and pollution and heavy metals and all the things that are damaging people's brains.
	So if you wonder why are corporations replacing people with machines, there's your answer.
	Just draw the lines.
	I mean, it's like, it's inevitable.
	And that's why I did that song, the replacements.
	And society is not tracking this.
	You know, even Trump is not tracking this yet.
	He will eventually, as you have mass bankruptcies of lending institutions, because you've got millions of unemployed Americans that can no longer pay off their loans.
	I mean, you're going to have a banking collapse that's going to make the big short look like a walk in the park.
	If you thought subprime mortgage collapse was bad, wait, wait till 2027.
	You know, it's going to get ugly.
	Well, it is already starting to get ugly and it's absolutely inevitable.
	It'll probably be a controlled demolition, in fact.
	But one of the things people ask me all the time, because I talk about cryptocurrencies and Zeno and privacy tokenization and everything.
	One question that people ask me all the time is, what should I invest in?
	This is one of the top things.
	And my answer, I'm not going to go through the normal, well, I'm not a financial advisor.
	This isn't financial advice, but I do have an answer that has come about in the last few weeks, which is what you should invest in is yourself.
	You should invest in knowledge.
	You should invest in figuring out what your purpose is, what your true unique purpose is in life and what you're really passionate about.
	And if you don't have the skills for that, acquire those skills.
	That is above and beyond the best investment that you can make because, you know, to put it simply, we live in a society now where people have jobs they don't like to have insurance that keeps them sick so that they can acquire a financial portfolio of companies that are building a digital prison and they don't even own those that basket of investments.
	And so people are living these lives of quiet desperation.
	The future doesn't have to be this place of survival and fear.
	It can be, we can go on the offense.
	We can take back control of our own life.
	And it starts by figuring out what you want to do and then figuring out how you acquire the skills and the knowledge to do that.
	What do you think of that approach?
	100%.
	Because if you realize that your current role in society is likely to become obsolete in the next few years, you have this window of opportunity to reinvent yourself.
	And I even did a podcast on this very point.
	I said, use AI to reinvent yourself.
	You can do that.
	Again, you know how we were just talking, Aaron, about you can ask AI agents anything and just get a competent model.
	Use our model or use whatever model you like to use.
	But what you should do is write out a full resume of all your skills and all your interests, everything that you're good at and everything that you'd like to do.
	Just write it up and then paste that into an AI engine with a prompt that something like, hey, all the jobs we know today are becoming obsolete.
	Here's my interest and here's my skills.
	What could I do that would survive the rise of machine cognition and mass job replacement?
	What kinds of, you know, what kinds of businesses could I start?
	What kinds of services could I offer?
	How could I remain relevant in the economy?
	Boom.
	And then look at its answer.
	Take the answer.
	You tell it, give me 20 ideas.
	Okay, great.
	It gives you 20 ideas.
	You go through that.
	It might trigger another idea of your own.
	Or you can take the best of the 20, you take that idea, you feed it back into the AI engine and say, okay, I want to do this.
	I want you to help me develop a business plan.
	And I want you to assess the risks.
	I want you to assess the opportunities.
	And I want you to tell me how good of a fit that this idea is with my skill set.
	And remember, these are my skills and these are my interests.
	How will this fit into my lifestyle?
	Boom.
	Run that prompt, get that answer back.
	Look at the plan.
	Take the plan, paste it back in.
	Say, hey, take this business plan.
	I don't want you to expand it.
	I want you to fill in the gaps.
	I want you to correct the errors.
	I want you to give an analysis and then be a critic of this business plan.
	Tell me how this might fail.
	Tell me what the risk might be.
	Boom, run that.
	Now you have an executive report.
	You got a good plan or a bad plan.
	You see where I'm going, Aaron.
	This is essentially recursive reasoning.
	And use the AI.
	You don't need to hire a business consultant.
	Use AI to help you through this process until you get the plan that will help you adapt and advance to stay relevant in this economy.
	Use AI to help you do that.
	Very straightforward.
	And then what you'll find once you come up with the plan, you can also ask AI how to implement the plan.
	And you'll find, depending on which, you may be able to completely automate the implementation of the plan.
	This is where you're going to find single solo entrepreneurs doing the work of a thousand-person company.
	And that's not an exaggeration because somebody mentioned this N8N, which allows you to kind of visually automate different workflows and create your own little agents and everything else.
	But as you dig deeper and deeper into this, keep asking bigger and bigger questions.
	Ask the AI, well, how would I go about building this?
	How could I automate this?
	Who knows more about this than me?
	Create a simulated advisory board with those people and have a Socratic dialogue with them.
	I do that kind of thing all of the time.
	I have just back and forth, not adversarial, but just, okay, well, let's do a little bit of tweaking, a little bit of brainstorming here.
	It's great for brainstorming.
	It's, I mean, you can even, you can prompt an AI engine to imagine two opposing experts and to write the dialogue of a debate on the topic that you want.
	And it'll write the dialogue.
	It'll point out the strengths and weaknesses of each argument.
	You should use this kind of format all the time.
	Again, the limit is just your own imagination.
	And the shocking thing, Aaron, is that I don't know what it is, but people are reluctant to imagine different ways to do things.
	Now, I mean, this gets back to neuroplasticity.
	And, you know, as a nutritionist myself, I would argue that reducing neuroinflammation through nutrition is probably a key part of this.
	I mean, you know, here I am drinking my avocado turmeric smoothie with broccoli sprouts and sulforaphane and everything.
	I happen to think, I mean, I know this, your brain runs on your blood, and your blood is manufactured constantly based on what you eat and drink.
	So if you want your brain to work better, folks, you got to eat better.
	You got to clean up your food, clean up your whatever you're drinking, get the toxic personal care products off your skin because that gets absorbed in.
	You know, get off the pharmaceuticals that you can, get off the recreational drugs if you're using them, get off whatever, clean up your blood, your brain will work better.
	And I guarantee you, when your brain works better, your life gets better.
	When your brain works better, now you have a chance of learning how to use AI to then take the next leap plus 20 IQ points.
	Now you can function at a super genius level in a society where people are behind the curve.
	And think about this, Aaron.
	If you had a time travel machine, okay, if you could take even just our model, Brighton AI, if you could take our model on a laptop back 10 years, just 10 years, and you could use it, you would be considered a god in terms of your knowledge.
	I mean, it would be unfathomable, but that's available to everybody right now.
	But that's how profound this is.
	It's time to, and I'm not saying AI is a god, by the way, not at all.
	It's not a replacement for God, but what I'm saying is it gives you superhuman capabilities that were unthinkable a decade ago.
	I think that that's true.
	And I think that the gulf between people that are starting to take steps because it is all incremental.
	I mean, and the improvements are exponential.
	So, the more you're into it, the more you learn how to use it, even something like prompting, I mean, you get to the point where when I'm creating, usually I have slides for this podcast.
	Well, I have a branding guide, and that's and that's one markdown file.
	And then I have another markdown file that has what the prompts are for using which AI model for the AI model for image generation.
	And then I just map the two together.
	So I create an outline of the content that I'm going to have for the podcast.
	And then I just have it in one prompt call a couple of other prompts, and then it spits out an entire list of basically every slide with my exact branding and style related to the content.
	Well, that took a little bit of time to build up, but then you do this with what's your email template and everything else.
	And so every day it gets that much more efficient.
	And then you can just tweak and refine.
	Again, it's an iterative process.
	It's not going to be perfect the first time.
	You're going to hate the results the first, I don't know, maybe even 10 times.
	But by the time, when you're done tweaking it, you're able to replicate and get more work done than you ever possibly could as one person.
	I mean, again, we're talking 100x here, and anybody can start doing this.
	You just have to start.
	You have to take the first step.
	It's kind of like people with crypto.
	Download a wallet, get to crypto, download the AI, try it.
	There's no hemming and hawing about it.
	Well, maybe I'll wait and do it.
	Just try it.
	And you know, so we've talked about bright u.ai, but also you mentioned earlier that this is available on a phone and a computer.
	Can you talk a little bit more about that?
	How people might be able to buy this?
	Yes.
	Well, I just had in studio yesterday, I had Hakeem, who's the founder of abovephone.com.
	And they are now shipping their phones and their laptops with our model pre-installed running locally with voice recognition.
	So if you want to find that page, it's abovephone.com/slash Brighteon, B-R-I-G-H-T-E-O-N.
	And what's so cool is then using his phone, you can just talk to it.
	And this is all offline.
	You talk to it to enter the prompt.
	The voice recognition is amazing.
	And again, it's running locally.
	And then the engine is installed on the phone.
	And it's a de-googled phone.
	So it's a privacy phone, even though it's a pixel phone, but it's been mind-wiped of Google, right?
	And it's running its own above OS operating system that Hakeem's company really innovated that.
	And then it starts giving you the prompt answer right on your phone.
	Now, it's slow because it's not a GPU, you know, it's a phone.
	So, you know, you're getting five to six tokens per second.
	So you're going to have to wait to get a long, detailed answer.
	But when else have you ever had the entirety of human knowledge in your pocket?
	You know, I mean, that, that, that has never existed before.
	And it's, it's a, you know, we allow everybody to use our model for free like that.
	So you don't have to, if you're watching this and you want to put our model on your device, go for it.
	Do it.
	You don't have to ask us.
	Our nonprofit, the CWC, is what actually released this model.
	It's a non-profit endeavor.
	We will never charge you to use the models.
	Just get it out there.
	Look, I believe in decentralization.
	Yeah, there you have the page, abovephone.com/slash Brighteon.
	And we were demoing that in the studio actually two days ago.
	And it was amazing.
	He's like, you can ask it anything.
	You can ask it about herbs.
	You can ask it about cancer cures.
	You can ask it about history, honest money, hyperinflation.
	You know, I mean, I trained it on interviews with Ron Paul, for example, and many, many other people, G. Edward Griffin, you name it.
	So This is a milestone for human freedom and human knowledge.
	And the real question, as you say, Aaron, the question is, are people going to choose freedom, liberty, knowledge, independence, or are they going to choose to be sucked in to the Trojan horse technocratic control grid because it's more convenient?
	Oh, then, well, that's what everybody else uses, or where people launch a browser and they think Google is the internet.
	You know, it's like, I can't help those people.
	You're going to have to up your game to be free.
	It's just all there is to it, man.
	Yes, you do need to up your game to be free.
	I guess the question is, what can we do about it?
	Because what I'm finding is that the gulf is so huge that I've just gotten to the point where kind of like with this podcast, I will, you know, later we'll have a QA session or whatever.
	And at some point, I'll just pull up, pull up my, whatever it is that I'm working on and just start using.
	It may not work.
	I mean, I may be in the middle of developing it, just whatever.
	I'm going to show people whatever it is that I'm doing.
	And now I'm to the point where I'm taking my computers with me.
	And if we're sponsoring an event or whatever, I'm just going to set up my computer and people are going to come by and they're going to start asking questions.
	But, you know, are there some other things that we can do to maybe help onboard people that either are completely cynical about it or are only exposed to the big tech side of it?
	Is there anything we can do to make this easier for people?
	I think it's what we're doing right now.
	We can show people that there's a whole different universe.
	All they have to do is open the door, open the door to independent AI, free, downloadable, local inference AI, which is what we provide.
	You can just go to brightchan.ai and it'll forward you to the brightu.ai website.
	And once people see it, they can't unsee it.
	Once people realize that they can have knowledge without censorship, oh my God, I mean, I can ask a question about what are the ingredients in a vaccine without being lectured by my doctor?
	Yes.
	Yes.
	The answer is yes.
	You can get all the answers you want with an AI engine that's not going to lecture you and judge you because you're interested in being healthy and clean and you don't want to be like a spike protein factory walking around.
	So the answer is yes, but you got to turn the knob.
	You got to open the door.
	But it's so easy.
	It's never been this easy.
	I mean, this is easier than tying your shoes, man.
	You just pull up a website and you have instant access to the world's knowledge without censorship.
	Wow.
	It really is blown.
	Yeah, it really is that easy.
	I remember when we were first talking about this, it was before you had the downloadable version, but I mean, it's only seven gigabytes.
	The process does not take time.
	It takes a few minutes time to get things set up on your own computer.
	There's really no excuse to not have the world's uncensored information at your fingertips if it's going to take 120 seconds or three minutes or whatever it is going to take to load it.
	It is that easy and this is that profound.
	So what you've done is a huge service for humanity.
	And I want to thank you for all of the time and the effort and the money and everything that you put into this because I think this is one of the best tools that we have to protect our freedom, but also to help improve ourselves individually.
	Well, number one, Aaron, I want to thank you.
	You've been an inspiration.
	Your work has been a huge inspiration.
	We were so honored to have you on as a guest on our show, Decentralized TV, and we'd love to have you back.
	And I want to collaborate with you on these projects.
	We're both actually thinking very much along the same lines, like having AI write books, for example, or how to automate agents in order to have your own personalized content ingestion environment.
	Look, for most of human history, most people have had their ingestion cue determined by globalists or governments or the news media.
	They've turned on the cable TV and there was CNN.
	Well, suddenly that was your attention.
	That was soaking up your most valuable asset, which is your attention.
	And I like to describe it as attention tokens, which is kind of funny if you know about safe tensors and attention, flash attention, whatever.
	But attention tokens is your human, like you only have so many minutes of human cognitive attention per day.
	And up until now, throughout most of history, what got fed into that funnel of your attention tokens was not up to you.
	And that's how they controlled everybody.
	Today, that changes because of decentralized open source AI technology.
	Now you get to engineer your attention tokens.
	You get to choose what gets fed into your own neurology.
	Now, that used to exist like a century ago before radio, TV, cable, you know, social media, Reddit, slop, whatever.
	Before that, it was people chose what books to read.
	And that was their attention decision-making algorithm.
	Now it's come full revolution.
	You can choose what news to ingest.
	And soon, Aaron, you'll be able to render whatever movie you want to see.
	Already with Suno, we don't, I mean, I don't buy any music from the crap satanic music industry.
	I render the music.
	I write the song I want.
	Suno gives it to me in 30 seconds, like the replacement song.
	That's going to happen with movies.
	It's going to happen with books.
	It's going to happen with interviews, with podcasts, with everything.
	You control the ingestion funnel.
	You decide what comes in because your attention is your most valuable asset from this day forward.
	Don't waste it.
	Don't let some corporation choose how you spend your attention tokens.
	You decide.
	And this is what this is about.
	This whole podcast, everything I'm doing is about this whole technocracy versus freedom aspect.
	And essentially, what is at stake is free will itself.
	If the technocratic version of this wins, then we have digital currencies that can be censored, that are programmed.
	Everything's tied to a social credit system that's determined by other people, surveilled by AI, or it's what Mike just talked about, where we really do get to allocate our intention.
	We get to figure out what we ingest.
	We figure out how that information gets presented to us.
	It expands our free will.
	This is why I say that there's a component to this that is, for those that are, that are very pessimistic about this technology, this expands the number of choices that you can make.
	If you look at free will and consciousness as being about agency and you being able to make your own decisions, this expands this dramatically.
	It has the potential to do that.
	And in fact, the way that Mike's using it, the way I'm using it, the way you could use it can do that.
	And it is, I'll tell you, I haven't been this excited in a long time.
	And you and I will text each other back and forth just about random different things that we're working on.
	And it's amazing that we do sync up on or independently working on some of the same things or having some of the same insights.
	But it is a magical experience and one that definitely makes me both optimistic, but also I sense going through a kind of a renaissance of even personal growth using this technology.
	Oh, wow.
	I'm so glad you said that because I feel exactly the same.
	I mean, it started with like I would use our AI engine to solve problems for some of my family members who had health complaints.
	And I would start prompting our own engine and it would find solutions that I would share with my family members and they would use those like that worked.
	Oh my God.
	You mean the AI engine actually knows nutrition and the chemistry of it?
	Yeah, because it's trained on like a thousand phytochemistry books.
	So it knows all the interactions and everything.
	That was just the beginning.
	Then it became, wait a second, this is like an augmented brain.
	This is like, you know, exo-neurology, right?
	So I can take my brain and I can attach this other thing to it while staying in control because I determine the prompts.
	And now I can function at a higher level in everything that I do, whether it's dealing with, you know, health, health problems with family members or business ideas or writing code, developing applications, personal growth, personal development, you name it.
	And what I find now, Aaron, is I have been, it's so funny.
	I've been like physically exercising more this year than I have in many, many years.
	And every time I'm out jogging and I only exercise outdoors, but I don't go to a gym.
	So I have kettlebells in a forest and I have jogging paths out.
	I only exercise in the sunshine, you know, running around in shorts to try to get massive sunshine on my skin as much as possible.
	And every time I do, I have an inspiration every time.
	And that inspiration is something else that I could test on the AI ecosystem that you and I are describing.
	And then, I mean, I can't exercise without having a breakthrough now.
	And then I go back and I put that in.
	Now the feedback loop is just minutes.
	And I realize, oh my God, that technique worked, that new prompting technique or that new idea or that solution, it worked.
	I get instant feedback.
	So what used to take a cycle of weeks for human innovation now is compressed into hours.
	And think about what that means for those of your viewers who are watching who have great ideas, who are innovators, who are the entrepreneurs who have the inspiration.
	You now have the tools at your fingertips to express the highest version of the person that you were put here and meant to be.
	No joke.
	Yep.
	This is my experience.
	Also, walking is the same for me and only outdoors.
	Unfortunately, I'm in New Hampshire and we're starting to get to that bad part of the year.
	And that's a bit frustrating because I found that a treadmill desk doesn't cut it.
	It doesn't do the same thing.
	You actually need the outdoors.
	You associate it with it, which must be the movement that's doing it.
	No, it's actually being out in nature.
	It's being out in the sun.
	It's, you know, it's a completely different, different ballgame.
	But I think that the way you said it was eloquent and it hit it right on the head, which is as you start going through this brainstorming, you're realizing how much is possible that you basically have this infinite potential out there.
	And so it causes you to hone in and figure out what is it that is really important to you and why.
	And that's why I think this is such a great thing in terms of personal growth.
	Can I add, Aaron?
	And by the way, I still have a few more minutes for you if you want to continue.
	I think I just want to re-emphasize nutrition because now, see, you need your brain to work at peak performance in this environment because you need to learn rapidly.
	And now you have the opportunity to control what you're learning and to really engineer the context of what you're feeding into your brain.
	But you know, if your brain is running on, you know, junk food, processed foods, pharmaceuticals, psychiatric drugs, et cetera, it's not going to work at peak performance.
	You're going to be stunted in what you're capable of doing.
	And I genuinely believe that physical health, nutritional health, and cognitive performance all go together.
	They all go together.
	And I'm not judging anybody for lack of exercise or whatever, but use this opportunity to up your game in all three of those areas.
	Exercise is going to oxygenate your brain even better.
	You're going to have more flow, more energetic flow and more lymph flow, et cetera.
	Nutrition, it's going to protect your brain from excitotoxins or from neurodegeneration processes that are very common in the food supply and even pesticides and so on.
	And then using AI is going to stimulate your brain.
	And no matter what age that you're at, well, let me ask you this, Aaron.
	I mean, I'm in my mid-50s and I think back to my college years in my 20s, I was an idiot then compared to cognition.
	Now, I mean, I can learn and function at a much higher level now than any time in my life.
	Do you feel the same way?
	Yeah, I definitely feel the same way.
	And I mean, I've been doing the same thing.
	I mean, I've been keto and I do a lot of things with fasting, but I've also been focused on how to make sure that there's no brain fog.
	Because there really is that symbiosis between physical health and cognitive health and everything else.
	But yeah, no, I feel like it's an order of magic.
	Actually, it feels like an order of magnitude improvement at this point in time.
	Yeah.
	And I would say some of this has been just even in the last 90 days, I'm in awe of the rate of development of the technology.
	Not only, I mean, every day I'm looking at there's a new model for this.
	DeepSeek OCR comes out.
	Then there's a new language model.
	Then there's a new this.
	And then you can just plug in the new thing.
	You can keep your workflow, but then make these tweaks.
	And then you look at what happened over the span of a week and it's like, this is historically, this would have been five years worth of work.
	Yes.
	And so, yeah, I truly feel like that.
	And I hope others that are listening to this take a first step and start because I think that if you're, if your expectations, you're going to be a slave to the technology, you're going to find out that if you exercise your free will over it, this will expand and improve all aspects of your life.
	Yeah, and I would encourage everybody watching, if you haven't yet used, let's say, Replit, go to Replit, build an app.
	And it doesn't matter what it does.
	Build an app to look for prices on an e-commerce website or something and bring you back a spreadsheet.
	I don't care.
	Just use it.
	Learn how to use it.
	Or what was the other one you mentioned?
	N8N, the visual.
	I think Anthropic has an experimental engine like that.
	I'm not into the sort of the layout visual building.
	I prefer to write Python code and just have AI write the code.
	Yeah.
	Maybe that's just the way I'm used to doing it, but I find it has more control.
	And you got to build in a lot of protections on database connections and things like that.
	And just visually, it doesn't have the depth yet.
	Maybe it will soon, probably.
	But just build something, build something, prompt something.
	You know, it's just like you said, Aaron, jump in, just start doing it.
	It's not going to bite you.
	It's not going to reach out of the screen.
	It's not going to strangle you.
	And it's not the devil.
	I don't care if it renders six fingers sometimes.
	That's just a math problem.
	And that's getting cleaned up.
	It's not the devil, but choose the engine that's aligned with your values.
	So you don't want to use Chat GPT to ask about health.
	You don't want to use Gemini to ask about honest money, right?
	You want to use the engines that are aligned with your values.
	And I think for most of your listeners, that's probably going to be our engine.
	But our engine's not going to be the best at writing code either, you know?
	And it's not going to do the high-level math problems.
	It's not designed to win all the scores on all the math benchmarks.
	That's not its mission.
	It's designed to answer your questions about health, nutrition, preparedness, survival, off-grid living, history, you know, first aid, decentralization.
	So, every model has its own strength, and you should be using five or six different models, as I know you do, Aaron, based on what you're trying to accomplish.
	Yep.
	And review models frequently.
	Keep an open mind about that.
	Stay on top of, and you will.
	I mean, once you start this path, then you know, like I said, I've got an agent that goes around and looks at the stuff that I've built and looks at the latest news of the day on what's going on and gives me advice on new technology I could use to improve what I'm doing, or new, completely different ways of thinking about what I'm doing that I that are gaps that I didn't even think of totally, and it's that that's just absolutely a game changer.
	Well, I don't know how much more time you have.
	I know we're well um, I can go to the bottom of the hour if if, you can.
	But there's something else I want to mention because uh, you're the person who first introduced me to Suno, which I understand is actually pronounced Sunno by the founder.
	But whatever, we all call it Suno, and I want your audience to think about this when Suno first came out, you know version one or whatever the they called the first version that was public.
	You know it sucked.
	I mean, the music was horrible, but they stayed at it.
	And then, about a year ago, it became competent, but you had to render 50 or 60 versions of a song to get one that you know you really liked today.
	Version five, Suno you can one shot an amazing song or you might have to render just two or three, you know, to get something amazing.
	Well, that process is what's going to happen to Ai robots, like the first robots that come out and you're going to say hey, fold my laundry.
	Yeah, they're going to suck.
	It's going to be a laughing style.
	You know viral videos of robot fails.
	Okay it's, this is great.
	You fast forward two years, three years maybe at the most that robot because the hardware is all the same, it's just the software that robot's going to be expertly folding uh, laundry and and it's going to be a chef in your kitchen.
	It's going to be chopping celery, you know, making a souffle, and you're going to be blown away.
	Well, we saw that with Suno.
	It's going to happen with robotics.
	Well, oh yeah, there you go.
	The Will Smith video.
	Yeah.
	Yeah uh, you're.
	If you're talking, you're muted.
	I, I can't hear you.
	Uh yeah, this is the Will Smith uh, eating spaghetti video.
	And I don't know how long ago this was a year or two ago, it was not very long ago and I remember when the the video on the left came out here, let me um yeah, this became like the benchmark for video creation is Will Smith eating spaghetti.
	Yeah, this became the benchmark and uh, and I remember when it came out, everybody was saying, oh well, you know, Hollywood doesn't have anything to worry about.
	And this is a perfect example of where people were saying, Ai is a joke, Ai is not going to go anywhere.
	And so this was i'll have to look up the date, but I don't think it was more than a year, a year and a half ago that this video on the left and then the video on the right is the new, I think, Vo Model or whatever uh 3.1, and so you can see this is the delta in just a short period of time.
	And this is exactly what you said with with Suno.
	What's happened with music, it's starting to have happen with writing.
	So if if if, your view is that you saw something in AI a year ago that looked like it.
	It wasn't providing good output and therefore you wrote off the entire sector.
	Uh, really it would.
	It would behoove you to stay on top of this and to do an investigation and see and start tracking where it's actually going.
	And what you said about robots is true as well.
	And actually, I wanted to bring up this topic because I think we started to talk about it the last time you were on.
	And, you know, you're the one who introduced me to this idea.
	And I didn't realize that China is ahead of the United States in 57 out of 64 different categories of technology.
	And so I went down that rabbit hole.
	And then you can actually go to YouTube and you can start looking at these things.
	Well, what is the current state of robotics like in China?
	What is the current state of quantum computing?
	What is the current state of this?
	And then lo and behold, you can see with your own eyes what's going on in China.
	And it will stun you.
	So if your viewpoint is still that America is the number one innovative country in the world and that we lead in all these categories, you are significantly out of date.
	And so there was something.
	So yesterday, the CEO of NVIDIA came out and said that he believes that he thinks that China is going to win the AI race.
	And this has created all kinds of controversy online.
	And there are a lot of different branches that we can go to talk about this.
	But what do you think about it?
	First of all, just generally, what do you think of that comment that he made?
	Well, I want to remind the audience that Jen Senhuang is Taiwanese and he's a genius.
	And he's not only a pioneer in microchip architecture, but he's a pioneer in business.
	And we should take his words seriously.
	And I think he's a national treasure for Taiwan and for America.
	And what he's saying is, I think it's more in the context of kind of heed this warning that China is making leaps forward that were unthinkable two years ago in terms of, for example, open source AI models now, DeepSeek and others from Alibaba, Quinn, you name it, Z, they only lag about three and a half months behind the best U.S. models in terms of their capabilities.
	Three and a half months.
	I mean, it's extraordinary.
	And China is releasing those models for free.
	Also, given that, you know, I lived in Taiwan, I toured throughout Asia and I speak a fair amount of Chinese.
	I know the Chinese culture very well, and I have tremendous respect for the intellect and discipline of the Chinese people.
	And this is why I always warned about the problem with, for example, California universities would penalize you for being Asian.
	They would penalize you.
	And as a result of that discrimination against Chinese and Japanese and Koreans and others in the university system, we ended up lacking hundreds of thousands of engineers in America that were based on a meritocracy.
	They were the best qualified students to enter those programs and to graduate as high-level engineers.
	Instead, we have woke universities that graduated people that were lesser qualified compared to, in many cases, Chinese people, or it could be Japanese, it could be Taiwanese, Korean, whatever the case may be.
	You get my point.
	You know, Thai, Vietnamese, et cetera, all very, very capable.
	This is why China is now graduating 500% more STEM graduates, science, math, et cetera, engineering, compared to the United States.
	When you combine that with the fact that China's annual terawatt hours of aggregate energy output is now over 10,000 terawatt hours, which is more than twice the aggregate energy output of the United States, which is only around 4,400.
	Then you realize, given that the power input is the key critical factor into compute and AI generation, you realize China's got the power.
	They've got the engineers.
	They've got the industry.
	The only thing they don't have is all the high-end microchips because of the tariffs and the restrictions from the U.S.
	So China is building their own microchip lithography advancements that are going to leapfrog everything that comes out of Europe or the United States.
	See, you can't put China in a box and have an embargo against knowledge and technology and math.
	China is going to out-produce you.
	They're going to outthink you.
	They're going to out-engineer you.
	They're going to win the AI race.
	I actually agree with Jen Senhuang.
	China's going to win the AI race on our current path.
	Trump's talking about, oh, we're going to build 10 nuclear power plants.
	Okay, great.
	A bunch of Westinghouse AP1000 nuke plants.
	Yeah, they're going to be done in 2044 or something.
	It's over by then, man.
	It's over.
	The race is done.
	China's been building energy infrastructure while we've been tearing it down because of the climate cultism nonsense that also impacted Europe.
	And yeah, I'm getting on a little bit of a rant here.
	I hope you don't mind.
	But we made so many bad mistakes 10 years ago, 15 years ago about wokeism and climate cultism.
	And now we are in the FO stage of the FAFO curve of climate cultism and woke idiocy.
	We're in the faux stage.
	And the faux stage is when you find out that you effed up 20 years ago.
	That's where we are, Aaron.
	Yeah, that does seem to be the case.
	I agree.
	And you mentioned this last time you were on.
	And I've spent a lot of time digging into this.
	And this absolutely seems to be the case.
	And but one thing that I will say is, again, with all the doom out there, this is about technocracy.
	I don't even think it's about the U.S. versus China.
	This is about technocrats.
	These are companies in China that are pushing this.
	You even look at the U.S., you have Oracle, OpenAI, Microsoft, all of these companies.
	These are all global companies.
	These are not America-first companies that are only working within the United States.
	And so what they're going to do is I put some of these memes out earlier today showing this idea that I'm expecting propaganda posters that are going to encourage people out of a sense of patriotism to use less water and use less electricity so that we can defeat the Chinese.
	I would bet that something like this ends up happening.
	And I bet people will actually fall for it, but realize that this is going to be done to prop up technocratic, large big tech corporations.
	And we just saw today that OpenAI is looking for subsidies and financial support from the federal government to do what they're doing.
	And now I view this as an opportunity.
	Here's my take on this.
	My take is big tech has an attitude of it's winner take all.
	This is what happened during the dot-com boom.
	This is why they, yes, they overinvest, but they realize that if they're the one that is the last one standing, they get all of the riches.
	This is why Meta, why Zuckerberg will spend $1.5 billion on one developer.
	Well, you have things going on with these Chinese organizations as well.
	This all benefits us.
	Why?
	Because we get to use this compute power at a loss.
	They're burning cash.
	They're burning venture capital.
	They're burning all of this other stuff.
	We get access to this.
	China's putting out open source models.
	Mike's putting out his models.
	We can take those models and take that technology, put it into our own self-custody.
	We can grab our own data sets and we can protect ourselves from being forced to take their centralized technocratic solution.
	That's why, to me, anyway, there is real hope here in this battle that's playing out amongst these different, I'll call them companies or organizations, whether they're based in the United States or China.
	You nailed it.
	This is not about China versus the United States.
	That's what U.S. leaders want us to believe.
	This is about humanity versus the technocracy, the prison planet system.
	And they want us all to be enslaved one way or another under their control.
	And this is why I think it was Senator Hawley is just announcing now some kind of new law that requires companies to report anytime they're replacing a human worker with AI.
	And you can see where this is going.
	What are they going to do?
	Outlaw the firing of people and replacing them partially or fully with, let's say, a more efficient, more accurate, less costly process for customer support?
	What are you going to do?
	You're going to turn the entire U.S. economy into like a food stamp program for salaries?
	I mean, that is not going to compete with the world.
	It's not.
	And yes, I have compassion for American workers.
	And that's why I'm doing what I'm doing here.
	I'm trying to empower people.
	I'm trying to show people how to survive this, how to navigate, how to up your game, how to move to the next level of this and stay relevant in an economy that's fully automated.
	And the other thing, Aaron, think about this is corporations don't want you to be human in the first place.
	When you join a corporation and they say, here, you know, we need the TPI reports for this spreadsheet and file these.
	They're not asking you to be human.
	They're asking you to be a machine.
	Be a machine and stop being human.
	That's been the middle manager, white-collar workplace for generations in America here.
	Data entry.
	Come on.
	You want to be human.
	You can't have a job that, of course, is nothing but demanding that you be a machine in the first place.
	So this is a great opportunity to rise out of that.
	If you get fired from your job doing something that's just so automated, take that as a blessing if you can financially survive it and take yourself and your inspiration and your skills to the next level.
	Do something that machines can't do.
	This is an opportunity.
	But who knows what the government's going to do in this?
	They're going to try to stop it and stop innovation.
	And then we're going to lose the race to superintelligence.
	I mean, it's kind of obvious.
	That's where it's going.
	Well, it is obvious.
	And we've already done this with other employment law.
	We've tied health insurance to employment.
	Then we've put in place all of these woke employment policies and everything else, which makes us not competitive globally.
	And then we move to the next level is, well, we're going to solve this by implementing tariffs, which is backfired.
	So, you know, embrace the technology, improve yourself.
	And there's a silver lining.
	There's a better future here.
	And I say embrace that, embrace personal change and growth as opposed to getting into a scarcity fear mindset.
	Absolutely.
	We are no longer in the scarcity economy.
	We're in the abundance economy.
	And in the abundance economy, all you have to do is choose abundance and understand how it works.
	And then you latch on to that phenomenon, which is exactly everything that we're talking about here today.
	And let me add another layer to this, which is all about energy.
	Now, I've interviewed experts in low energy nuclear reactions, which used to be called cold fusion.
	Cold fusion is a very real phenomenon.
	It exists.
	It's been replicated in hundreds of labs around the world, including by the U.S. Navy and laboratories in Japan.
	Cold fusion can produce energy by converting mass to heat in water at a relatively slow pace.
	It's not as dramatic as fission or fusion, hot fusion.
	It's more of a slow pace, but it's great for heating buildings.
	However, you could use cold fusion right now to generate steam from water and drive turbines.
	And you could do that without using nuclear material.
	And yet that technology has been suppressed by our country and by our so-called scientific community since the Fleischmann and Pons experiments at the University of Salt Lake City in 1989.
	So we are living in a country where innovation has, it's being stifled, where people who invent things, they have their patents classified and stolen from them.
	And the best minds that actually have something to contribute to society are censored by YouTube, blocked by Google, or ostracized by polite society.
	That's got to change if America is going to have a future.
	This is a time to let the Mavericks do what they do best.
	People like you and I, Aaron, who have been heavily censored and deplatformed.
	We have a lot to contribute to this society.
	We can help make America great again, truly.
	But we are still being punished and we are still being deplatformed.
	I can't even post a video on YouTube to this very day because they voice printed me and they actually give a strike to everybody who even posts my voice.
	You know, the only way I can go on YouTube is to alter my voice.
	That's Google.
	It's an anti-information company that wants humanity to fail, whereas I want humanity to succeed.
	So that's my end cap on today's conversation.
	Well, that's a great place to end it.
	Well, thank you for thank you for coming on again.
	Thank you for everything that you've done, everything you continue to do.
	And I look forward to having you back and look forward to being on your show again because this conversation, it'll be amazing to see how much has changed just between now and the next time we talk.
	It'll feel like 10 years.
	No kidding.
	Yeah.
	Look, it's always an honor to join you, Aaron.
	And I really appreciate you having me on.
	Happy to join you again anytime.
	And we probably need to do this fairly frequently because of the rapid pace of change here.
	But I'll share my projects with you.
	I know you'll share yours with me, and we're going to share them with the world.
	Let's just see what we can do with all this and help empower humanity in the process.
	So thanks for having me.
	I'm in.
	Thank you very much.
	Thank you.
	All right.
	Well, there you have it.
	Always phenomenal to have Mike.
	Mike is truly one of the, I think, the heroes of this freedom movement.
	And I'm so impressed with everything that he's done.
	I mean, even before the AI stuff, he's just been a trailblazer in all of these areas.
	And so, but, you know, it gives me hope and it gives me optimism.
	And so I think the tools that Mike has put together are really groundbreaking in this regard.
	And so I'm grateful that Mike has done what he's done.
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