Health Ranger - Mike Adams - BBN, Jan 9, 2026 - Mike Adams: We Are Building the Infrastructure of HUMAN FREEDOM

Jan. 9, 2026 - Health Ranger - Mike Adams

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BBN, Jan 9, 2026 - Mike Adams: We Are Building the Infrastructure of HUMAN FREEDOM

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	All right, welcome to Brighteon Broadcast News for Friday, January 9th, 2026.
	I'm Mike Adams.
	Thank you for joining me today.
	In case you haven't heard, there's huge news, huge news in the world of AI coding.
	And this is a very big deal.
	Even if you're not interested in AI, you will be interested in the repercussions of what I'm about to share with you.
	So I think that there's a good report on this from a website called financialcontent.com.
	And it's called The Hour That Shook Silicon Valley, How Anthropic's Claude Code Replicated a Year of Google Engineering.
	And interestingly, by the way, this story was also written by AI based on real-world information.
	But here's just the opening of it.
	In a moment that has sent shockwaves through the software engineering community, a senior leader at Google revealed that Anthropic's latest AI tool, Claude Code, which is one of the tools I use, by the way, successfully prototyped in just one hour a complex system that had previously taken a dedicated engineering team at Google an entire year to develop.
	This revelation has ignited a fierce debate over the future of human-led software development and the rapidly accelerating capabilities of autonomous AI agents.
	The incident serves as a watershed moment for the tech industry, marking the transition from AI as co-pilot, which suggests that snippets of code from AI could be useful for systems, but rather from a co-pilot to being able to build, to architect and execute entire large-scale systems.
	So I'm paraphrasing now.
	So in other words, the traditional software development lifecycle, typically defined by months of architectural debates and iterative sprints, is being fundamentally challenged by the agentic speed of tools like Claude Code.
	Okay.
	So there's more to that story, but you get the point.
	So here we are.
	Oh, I forgot to tell you, the name of the engineer is Jana Dogan, a principal engineer at Google.
	And she was trying to build, what was it, distributed agent orchestrators, a sophisticated system, and they just couldn't get it nailed down.
	But, you know, Claude Code, the Opus 4.5 model, which is what I use, nailed it in about one hour.
	So what this means is it's confirming what I've been saying this entire time, that AI coders are now significantly better than human coders.
	And there might be now on this planet a handful of human coders that are better than AI, but soon that number will be zero.
	And effectively, it doesn't matter at this point.
	It's pretty much zero.
	So AI coding is vastly superior.
	It's faster and it's adding incredible value.
	I mean, think about what is the cost to Google of a team of engineers spending a year on a project.
	And each one of those engineers is making, you know, 200K or more, some of them significantly more.
	So, you know, millions of dollars, right?
	Millions of dollars is what Google would have spent on this or was spending.
	Claude Code did it in one hour.
	And I don't know how many tokens it burned in that hour, but I'm guessing the total cost was easily less, I mean, easily less than $50.
	So you're taking a business process that used to cost a million dollars and take a year.
	I'm just going to guess, a million dollars.
	And it took a year.
	And now it costs $50 and takes an hour.
	Yeah, exactly.
	And even then, you still have people out there who are not yet convinced that AI is doing anything useful for the bottom line of corporations.
	And it's astonishing to me.
	Oh, by the way, let me tell you.
	Today I'm going to play my interview with Aaron Day.
	Well, he interviewed me earlier this week.
	I'm playing that interview.
	It's amazing.
	And it's somewhat technical, but if you're at all interested in tech and AI and what's happening in the world, but also how to maintain our freedom and liberty and avoid the surveillance and avoid the CBDCs, avoid the Skynet scenario, you're going to like this interview.
	And that's coming up.
	But what's really astonishing to me is to hear how many people who are otherwise very intelligent, and I'm even talking about people in the truth movement, people in alternative media, some people who I've interviewed before, who might be experts in areas of finance, might be experts in areas of law or liberty or what have you.
	And they still are saying that AI doesn't do anything.
	They're saying AI is not helping companies.
	It's not that the projects are all failing, that they don't work, etc., etc.
	I would just invite them, take a look at brightlearn.ai, the book creation engine that I built using AI agents, most of which were coded by Anthropic Claude Code, same thing that Google's using.
	So I'm getting access to the same level of coding proficiency that Google is using, you know, for pennies on the dollar.
	I mean, even less than pennies on the dollar.
	And that's why I was able to build this and move on it so quickly.
	Now, it's not perfect.
	There are glitches.
	In fact, as I'm recording this, there's a glitch.
	There's like almost 300 books waiting for architectural review because the architect is stuck for some reason that I'm troubleshooting.
	Well, I'm having the AI agents troubleshoot it.
	But it's not perfect.
	And actually, almost every issue that I have with the engine has to do with database problems.
	Either database row limits on select statements or database total size retrieval limits, how many megabytes you can return in a certain select statement, etc.
	Okay, so and those are not code problems.
	Those are database problems.
	That's usually what I run into.
	Although there are still pitfalls, it's not perfect, but it keeps getting better.
	Even right now, I'm finding that the coding agents will correct problems today that they could not correct three weeks ago.
	So something continues to improve with Claude Code on a rather frequent basis that is astounding, actually.
	So, you know, Claude Code uses a verification loop architecture.
	So it writes code and then it goes back and it checks its own code and it looks for bugs that it may have introduced.
	And in the right context, you can do this recursive looping and you can set it on a task and let it go for hours and hours.
	It can even do its own testing.
	So it'll write the code, do the testing, find the errors, feed the errors back into itself, fix the errors, test again, make sure it's error-free, then review the code, make sure it's all good, and then say, okay, I'm done.
	That's the kind of thing that you can make clawed code do.
	It doesn't do that by default, but if you know how to work it, as I do, then you can make it do those things.
	And it is, it's, again, it's rather astonishing.
	So if you think about the implications of this, what does it mean for our world?
	What does it mean for business?
	See, understand that coding is the very first thing that AI is good at.
	But AI is about to move this year in particular into middle manager decision-making roles in businesses and nonprofits, any kind of structure all across our world.
	And of course, that means, on one hand, some job replacements of human workers, but also on the other hand, it means job advancements of human workers who will be able to get more done in less time by using these tools or delegating repetitive tasks to AI agents to have them do those things, freeing up the human worker to do something more interesting or more productive or more creative or more human, frankly.
	So the implications of this are extraordinary.
	And I still hear, you know, it's not just that I hear people saying that AI doesn't work, which is nonsense.
	You know, it's a transformative technology.
	It's arguably the most important technology that's ever been created that we know of on this planet anyway.
	But it's also already saving corporations lots and lots of money and in many cases freeing up humans from the drudgery of repetitive, monotonous tasks.
	It's doing that right now all over the place.
	There's kind of, remember how the other day I said there's AI derangement syndrome, AIDS, otherwise known as AIDS.
	You know, the AIDS epidemic is back, but it's now AI hatred.
	There's this anti-AI movement, I guess, or force out there that's trying to convince everybody that AI doesn't work.
	And, you know, that's delusional.
	And it will be seen as delusional.
	You know, sooner or later, people are going to have to admit, well, my goodness, this thing just replaced a bunch of Google engineers or this thing just replaced a bunch of middle managers.
	And eventually where this is going is you're going to be able to, as the human architect of your own projects, you'll be able to give less and less information and a prompt to an AI agent and it will be able to build that out for you with very little input on your part, even if you have almost no technical knowledge.
	See, right now building with AI, you need to have good technical knowledge, as I do, because of my background in the software industry.
	And I used to code.
	I used to write PHP code, for example, and I did database queries.
	And I built content management systems for years, starting in 2003, actually.
	So I've done this for a long time.
	And so I kind of had an advantage going into the vibe coding area because I understood more of how to tell it what to do.
	You know, how do you work with these tables and the indexing and the relational tables and the table joins and things like that.
	But you won't need that knowledge soon.
	you'll be able to say things more simply, say, hey, you know, build me a website that sells, I don't know, fashion clothing or something.
	Just make it work, you know, make it look awesome, make it functional, handle the e-commerce, blah, blah, blah.
	Just feed that in there and it's going to be able to build all of that.
	And that's going to be significant.
	And even in my own work with AI agents on the Bright Learn project, oh, by the way, you should use our new AI engine called Brightanswers.ai.
	People are absolutely loving it because it takes advantage of all the research documents we have now.
	You know, the over 100,000 science papers and over 100,000 books that are in the system.
	Although I'm noticing that not all of those books have been indexed yet, but they will be soon.
	So check out that engine.
	It's also free.
	But even in my own coding, I used to tell the AI agents to do something and they would work for maybe 10 minutes, 15, 20 max typically.
	Now I could give them a task and they could work for one to two hours completely unattended.
	And so I imagine in 90 days, let's say, just, you know, a few months from now, it's going to be even more capable.
	And I will have to spend less and less time walking it through technical issues and it will know what to do even better.
	And just to give you an example, I discovered that one of my database queries was taking 80 seconds.
	And those of you who know anything about engineering, you're like, no, that's insane.
	That's not going to work.
	And it was just the back end engine.
	It's not anything that was public-facing, by the way.
	But on the back end, part of the engine that actually then does the book research and the book writing, one of the queries was taking 80 seconds.
	And then I had 24 parallel agents or threads doing that same query.
	So I had 24 80 second queries and that did not work.
	I talked to the agent and I checked with it.
	And this is a very simple thing.
	I said, you know, tell me again what indexing you have on these tables.
	And it didn't have any indexing other than just the basic row ideas.
	Are you kidding me?
	So add these indexes and it did.
	All we did is added indexes, you know, very simple SQL command.
	And then I had it run the query, came back, the query time dropped from 80 seconds to 0.6 seconds.
	So we shaved off 79.4 seconds on that query.
	And that's the way this goes.
	That's the kind of thing that we see happening.
	Anyway, by the way, we now have over 5,000 authors who have published over, well, almost 17,000 books at brightlearn.ai.
	We have almost 140,000 downloads.
	And we've had over three quarters of a million visitors since we launched it, which was just a few weeks ago.
	And it continues to rapidly accelerate in popularity.
	Again, it's not perfect.
	There's some glitching here and there.
	And I haven't yet finished the R clone local sync feature.
	But I have good news.
	I did bring on another vibe coder today.
	That vibe coder probably won't be working on the BrightLearn project, but he will be working on other projects that will help free up my time so I can focus on BrightLearn.
	Because I've got so many features I want to roll out for you this year, including full-length audio books, book translations, and also soon, I mean, whenever we can, new videos, little mini documentaries.
	And it's interesting that today, just today, LTX.io released the new open source model of LTX2.
	And they've got an API for it.
	And it can produce videos up to 20 seconds in length with full lip sync synchronization and audio, as well as, of course, realistic video.
	I think 4K resolution up to 50 frames a second or something like that.
	So we are very, very close to being able to experiment with some mini documentary video creation.
	I'm guessing that by this summer, we'll be able to probably really roll that out.
	I think it's going to be a feature that we'll have this year.
	Now, I know some of you might be asking, hey, I'm supposed to be the health ranger.
	Why am I talking about text so much?
	What about health?
	And, you know, I know other people are just focused more on health than I am these days, which is fine.
	The thing is, I understand the importance of decentralized knowledge, technology, content for your health.
	In other words, the best way that I can help the most people get healthy is not for me to tell you, you know, seven ways to use blueberries.
	Although that's fun.
	That's always interesting.
	With your blue tongue and your blue lips, you know, when you're done.
	Okay, that's great.
	But I need to be building the technology that helps everybody find out about the healing properties of blueberries in multiple languages in different formats, in audio, in PDF, in text, websites, video, you name it.
	My job is to build the infrastructure for health knowledge.
	And that infrastructure also happens to work for knowledge of freedom, knowledge of honest money, knowledge of gold and silver or privacy crypto or whatever the case may be.
	So I'm very passionate about health.
	And I'm the healthiest, personally, I'm the healthiest I've been in years, you know, with fitness.
	And of course, I still follow all my nutritional principles, but I've added things to it this year.
	You know, I've added some healing peptides.
	I've added more sunlight or natural light therapy, red light therapy.
	You know, I still use the vibration plate and so on.
	I still do all the same things that I've always done health-wise.
	And the results are still outstanding.
	It's just that I need to help build the infrastructure for health freedom.
	And, you know, God gave me the talent and the skills and I don't know, the passion or whatever to be able to do that.
	And so I feel like that's what I should be doing.
	So, you know, thank you for your patience and your understanding.
	If I get off topic, if I'm not talking about health as much as I used to, but I'm trying to build the tools that help you be able to access all the health information you need with all the research tools that are now available to humanity.
	We've never had this moment before in human history when you had all the knowledge at your fingertips.
	You know, when I started Natural News, or what was originally News Target back in 2003, it was actually very hard to find information about nutrition at that time.
	It wasn't in the mainstream media much at all.
	Even today, it's not that much.
	It wasn't in the medical journals.
	There were books at the bookstore, but in terms of online sources, there was Mercola and there was me, Natural News.
	And there were a few others.
	There weren't that many of us.
	It was much more difficult to find.
	And, you know, people like David Wolf were great educators.
	And, you know, Ty and Charlene Bollinger and Sayer G and all my friends, all the people I know, you know, we were all sort of the leading edge of this before people knew about the dangers of vaccines or the natural cancer cures that are now more common knowledge.
	So back then, information was scarce.
	Today, information is at your fingertips.
	You can find anything you want to know about any food, any ingredient, any disease, how to reverse it, how to prevent it, how to treat any symptom.
	You can ask our AI agent at brightanswers.ai.
	You see, the landscape has changed dramatically.
	You don't have to go to a guru, you know, like, here's this guy or this woman, and she knows everything.
	And I'm going to ask her.
	Although there are still plenty of so-called gurus around, I suppose, but you don't need to go to a human guru because AI technology and decentralized knowledge gives you access to all of that instantly at zero cost through the kinds of tools that I've built.
	So that's why, that's why I don't spend much time talking about, you know, nutrition.
	Also, I feel like some of it's just become obvious.
	For example, Secretary Kennedy putting out this, you know, the new food guide pyramid, and the title is Eat Real Food.
	And I'm like, no shit, Sherlock.
	I mean, I'm sorry about the profanity, but seriously, eat real food?
	Since when did our government have to tell us that?
	What are you eating if it's not real food?
	What are you eating?
	And why?
	You know, what's wrong with you?
	You know, eat real food was what everybody knew for thousands of years until recently.
	You know, until the post-World War II processed food era, which really took off in the 1970s and 1980s.
	And then we were told, like, don't eat real food.
	Don't eat butter.
	Don't eat eggs.
	They're full of cholesterol.
	You should eat this, what, this machine lubrication seed oil that we call rapeseed oil, but we're going to repackage it and call it canola.
	You should eat this margarine sludge that sometimes we use on our tractors because it's such a great mechanical lubricant.
	You know, eat this.
	Don't eat real butter.
	Don't, you know.
	Remember that?
	That wasn't that long ago.
	We were told not to eat real food by the doctors, by the American Medical Association, by the media, by the advertisers, by the food companies.
	Don't eat real food.
	It might kill you.
	It's like doctors today, like, don't let sunlight touch your skin or you might die like a vampire.
	You know, you might turn to dust or something.
	Don't eat real food.
	It's hard to believe that any of us ever fell for that garbage, but people did.
	Oh, let's go buy Crisco.
	Let's eat margarine.
	Beware of eggs.
	Even though throughout all of known history, every animal that's ever eaten eggs has been healthier as a result because the egg is the perfect multivitamin and nutrient.
	It's got all the right fats and everything to build brain cells and neurology and skin and bones.
	I mean, did you know that all that stuff inside an egg that it builds an entire baby chicken?
	Feathers, beaks, feet, eyeballs, and all of it, skeleton, heart, it's all.
	Everything comes from the egg.
	I mean, that should be obvious, but people forget that.
	There's a whole chicken that comes out of that egg, a little baby chicken.
	I used to hatch them.
	You know, I hatched a lot of baby chicks over the years.
	I used to talk about it.
	I don't do that anymore.
	It's a ton of work.
	But, you know, out of the egg comes a full chicken.
	Well, how is that possible?
	If eggs are poisoned, as we were told by, I think, the American Heart Association and some other like bogus front groups that are paid by industry, if eggs are poison, how do the baby chickens come into existence, huh?
	How does that work?
	You know, if butter is bad for you, how did our ancestors survive?
	They all ate butter.
	You know, so my point is, here we are.
	We've reached the moment in the decline of this empire where our government has to tell us to eat real food because the average consumer has been so brainwashed by the media and by the fake science establishment and by the pesticide companies and by the food manufacturers, the food factories.
	They've been brainwashed by them to not even be able to recognize what is real food.
	What is real food?
	And there's not much I can do to help those people.
	Think about it.
	I mean, you go to the grocery store, you see people with their shopping carts, and it's just filled with mountains of garbage.
	You know, oh my God, here's a bunch of soda.
	Here's a bunch of like toaster pastries and like sugary breakfast cereal, hydrogenated garbage.
	And you're like, my God, like a walking case of heart disease and type 2 diabetes right here.
	I bet your next stop is the pharmacy.
	And you see them.
	They're little kids.
	They're climbing up on the shopping carts, already obese at the age of seven.
	You're like, oh man, that's going to be a lucrative big pharma profit center right there.
	You're a little kid.
	And you're feeding the kid all this garbage.
	This is the decline stage of the empire when people don't eat real food.
	And what's even more bizarre is they don't pay for the food with real money either.
	What are they using to pay for the food?
	Fake currency.
	Fake currency.
	Or, you know, food stamps, which is also another type of fake currency provided by the government.
	So fake food, fake money, brainwashed by the fake news, pushed by the fake science journals with the fake doctors pushing the fake flu vaccines that don't even work.
	They don't prevent the flu.
	Scaring people over a fake pandemic, you know, because of the fake virology.
	I mean, it's just fakery upon fakery upon fakery.
	And the only way that I can actually fight against that whole system of massive fraud and brainwashing and exploitation of human beings for corporate profits, the best way for me to fight back against that is to build the infrastructure of human freedom.
	And that's what I'm doing with these AI tools.
	And I need your help.
	I need your help.
	You know, I don't ask for much, but I need your help in two ways.
	Number one, I ask for you to help share these tools.
	Tell people about brightlearn.ai and brightanswers.ai.
	And you can share these on Twitter or X now because X had banned any domain name with the word Brighteon in it.
	Did you know that?
	That's how malicious X is to this day.
	You couldn't share any video from Brighteon.com.
	So we shortened Brighteon to Bright, and that's how we have Bright Learn and Bright Answers.
	So those you can share, you know, unless X bans those too.
	Who knows?
	Maybe they will.
	And then the second way that I need your help is I need your support financially so I can continue to build this.
	And what I mean by that is just shop with us at healthrangerstore.com.
	And even right now for the next, what, two days, our New Year sale is still going on.
	You can take advantage of it.
	Go to healthrangerstore.com slash 2026.
	HealthRangerStore.com slash 2026.
	And you can see what we have on sale, what we have back in stock, all the specials from our third-party vendors, etc.
	And it's really important.
	I mean, not only are you getting yourself these great products that are laboratory tested, ultra-clean, really expertly formulated, just the most amazing product formulations you've ever used.
	And you know how sensitive I am to artificial fragrance or artificial colors or artificial flavors or garbage like that.
	Well, I use my own products.
	And so you know that they're ultra, ultra clean because, I mean, that's who I am.
	I make sure that everything we sell is something that I would eat or use.
	And I'm using my own products every single day.
	And when you shop at healthrangerstore.com, then that helps us financially build these platforms and the infrastructure and pay for all the AI inference costs and pay for all the hosting and pay for all the storage and pay for all the APIs for cover art generation, all these things that are necessary.
	And it's a lot.
	It's quite a lot.
	But thanks to your generous support, we can afford it.
	And that's what I'm dedicated to doing.
	So in other words, when you help yourself with good nutrition and clean foods and superfoods from our store, you're also helping us build the tools that we give back to you for you to be able to research and find everything that you want to know about reversing disease, natural cures, prevention of cancer, prevention of diabetes.
	You know, every single thing that you want to do, that you want to learn or know is now at your fingertips.
	And every day, I'm building that system to be even bigger with more reference documents, with more features, and also fixing bugs from time to time and, you know, rolling out all kinds of new tech.
	So we all win in this process.
	And I thank you for your support.
	Now, let me shift gears for a second here and remind you that censorship, you know, that's a weapon that's been used against myself and all my websites and content for many, many years, for 10 years, actually.
	I was booted off of YouTube in, what was it?
	Was it 20, yeah, it was 2015 or 2014.
	So it's been over 10 years that I have been blacklisted off of YouTube.
	If they hadn't banned me by now, I would have had millions of subscribers and followers on YouTube.
	And they knew that.
	And they maliciously censored me in order to stifle my reach because they knew that I was going to empower millions of people.
	Now, I have found other ways to do it, but those were major setbacks.
	All the censorship.
	Now, I've got a special report here today about censorship and a reminder.
	It's not focused on me, but rather, it's called Anti-Humanists Push Censorship So They Can Get Away with Depopulation.
	In other words, the real point behind censorship is to push depopulation.
	They can't get away with depopulation if people are connected to truthful information.
	And that's why they're still trying to censor what I'm doing.
	You know, like yesterday, ATT blacklisted the Brightlearn.ai website.
	Now, they since reversed that thanks to public pressure and thanks to all of your support.
	You know, I went public with it and I accuse ATT of violating the civil rights of the American people, which they did.
	They reversed it, but they were trying to see if they could get away with it.
	Can they just censor my websites and censor free books, censor knowledge?
	And yeah, you know, of course they will try that.
	They will try it again and again because it's all about depopulation.
	They want the American people, actually people everywhere, they want you to kill yourself with fake food, eating pesticides, taking jabs, taking medications, remaining vitamin D deficient, being afraid of the sun, etc.
	They want you to kill yourself.
	It's part of the depopulation agenda, but they know that they can't succeed in that if you have access to knowledge.
	The kind of knowledge that I promote, that I help create, that I share, because I'm building the infrastructure of human freedom.
	People who are informed will not kill themselves.
	You know, not through any of those vectors I mentioned.
	People who are informed will eat healthier.
	They will enjoy sunlight on their skin.
	People who are informed will detox.
	They will drink cleaner water.
	They will avoid processed junk foods.
	They will avoid psychiatric drugs, etc.
	They will avoid all vaccines because all vaccines are toxic.
	So being informed saves your life.
	And you can only inform yourself.
	You know, nobody can force you to be informed.
	You may have tried that with other people.
	It didn't work.
	You know, they can just reject it.
	I don't want to be informed.
	You know, don't tell me about them jabs or whatever.
	You know, but the only way for people to actually make themselves informed is to have access to the knowledge.
	And that's why censorship is so critical to the globalists to achieve their depopulation agenda.
	So with that note in mind, let's give a listen to the special report.
	Anti-humanists push censorship so they can get away with depopulation.
	And then after that, by the way, I'll have a report about the currency reset that is approaching.
	So stay tuned.
	It's critical to remember that the censorship agenda is tied to the depopulation agenda.
	They can't achieve depopulation without censorship.
	So welcome to the special report.
	I'm Mike Adams, the health ranger, AI developer, founder of the Brighteon platforms, and much more.
	And arguably, I have been the most censored human being in the history of Western civilization.
	I was censored first before almost anybody beginning in 2014.
	I was deplatformed.
	I was smeared relentlessly, attacked, defunded.
	You know, everything you can imagine.
	YouTube still voice prints me.
	And if anybody interviews me and then posts that interview on YouTube, they almost immediately get a strike on their channel.
	So I'm not allowed to speak in my voice on any mainstream big tech platforms.
	Why is that?
	What am I saying that's so dangerous to the establishment?
	That you can prevent cancer with vitamin D, right?
	Or that bio-sludge is toxic and dangerous to be dumping on farms.
	Yeah, see, they consider that dangerous.
	Or that I'm telling people don't take the jabs, the depopulation bioweapons developed by the Department of Defense and pushed through Trump's Operation Warp Speed, literally designed to kill you.
	And I told people don't take the jabs.
	Well, that's when they brought out all the guns.
	That's when they got all the spooks involved, a CIA, MI6, to try to completely destroy my ability to speak anywhere online.
	And they were somewhat effective.
	That's why we've sued the Department of Defense.
	They're actually named in our Brighton lawsuit that's still pending.
	And we sued big tech platforms, including X, including Google, Meta, Facebook, you know, all of them.
	And I believe we're going to have a positive conclusion to that lawsuit eventually because the evidence is overwhelming.
	If you read our lawsuit, it just lays out the absolute government-run, globalist-run conspiracy to silence me.
	But why?
	Why?
	Because I'm teaching people how to not be exterminated.
	That's why.
	And to understand why that's so important for the globalists to shut that down, you need to realize that the depopulation agenda is here.
	It's real.
	And the globalists feel a desperate need to accelerate the agenda.
	And the only way to do that is to convince people to slowly poison themselves and kill themselves off while telling people everything's fine.
	So think about what has been the focus or the emphasis of my education for 25 years.
	I've taught people don't eat GMOs, don't consume glyphosate, avoid toxic pesticides, choose organic.
	Don't slather sunscreen on your skin because it's toxic.
	Get away from toxic fragrance chemicals because they also cause harm and cancer, etc.
	Avoid the jabs.
	Say no to all the jabs.
	Don't take any vaccines.
	Instead, consume superfoods, nutrition, get natural sunlight, engage in exercise, drink clean water, breathe clean air.
	You know, you would think that actually my information in a society that wanted humans to survive, my information should be championed by the establishment.
	Yes, we want people to be healthy.
	We want to reduce healthcare costs.
	We want to increase longevity and quality of life.
	We want people to live longer and be more productive and have their brains functioning and their livers functioning and their hearts functioning.
	Yes, yes, yes, because that's everything that I promote is pro-human.
	But I've been censored because it's pro-human, because the establishment is running a depopulation agenda.
	So of all those examples I just mentioned, think about it.
	Anytime I tell somebody, don't eat toxic pesticides, avoid the deadly jabs, don't drink fluoridated water, etc., what am I doing?
	I'm interfering with the globalist depopulation agenda.
	And all of us in this space, the health freedom movement as it has been for the last 25 years, including people like Dr. Mercola and Ty and Charlene Bollinger and Sayer G and Sherry Tenpenny and so many others, they were all targeted for the same reason.
	Most of them were declared part of the so-called dirty dozen, declared an enemy of humanity for teaching people to not kill themselves with toxic jabs and toxic pharmaceuticals, etc.
	And it's for the same reason that I'm mentioning here.
	Every effort was made to censor and silence every prominent voice that was teaching you how to not die, or specifically how to not kill yourself.
	Because you see, all of these methods that I've mentioned, you know, the pesticides, the herbicides, the GMOs, the vaccines, the pharmaceuticals, all of them are consumed by people by choice.
	They do it by choice.
	They get convinced that the jab is good, so they take the jab.
	They get convinced that pesticides and herbicides are totally safe to consume in any quantity, so they eat conventional foods.
	They get convinced that fluoride is good for you, actually.
	It's good for you.
	I mean, we've even seen mainstream media say that aluminum in vaccines is really good for you.
	It makes your brain work better.
	That we should all just be injecting aluminum all day long.
	That's what the news says.
	And of course, that's scripted.
	That's scripted.
	To convince weak-minded people, not you, but weak-minded people to kill themselves off and thereby achieve depopulation.
	And think about the cancer industry.
	Does the cancer industry ever do anything to stop cancer?
	No, of course not.
	They perpetuate cancer.
	Mammograms, for example, cause cancer because they emit ionizing radiation that causes breast cancer and tumors on purpose.
	It's a hoax.
	They tell people to line up here, put your breasts in this pancake smashing machine, you know.
	And this is going to, you know, early detection saves lives, they say.
	It's all a lie.
	It's all a hoax.
	They know it.
	They're lying.
	Actually, they're giving you cancer a little bit each year.
	And then if you come back for another mammogram the next year, you know, sooner or later, they're going to say, oh, we found a tumor.
	Yeah, because they caused it.
	It's like having a tourism walkthrough of Chernobyl.
	Yeah, you're getting ionizing radiation.
	Yeah, of course you're going to have tumors eventually.
	And then they say, well, we have to treat these tumors.
	How do we do that?
	Well, we're going to poison you.
	You know, chemotherapy kills people, kills hundreds of thousands of people a year.
	But all the causes of death are listed as cancer, not chemo.
	So you see, mammography is a, it's a, it's a suicide ritual that is sold to the public as something that's good for you.
	And the oncologists are all in on it.
	They make money killing people.
	You know, it's like a bounty hunter reward.
	How many people can we kill this year?
	We get paid.
	The oncologists, they get paid for the chemotherapy drugs.
	They mark those up, high profit margins.
	They get paid by Medicare and health insurance companies for the so-called standard of care, which is killing people for money.
	Just like during COVID, hospitals that killed COVID patients, they got rewarded with up to $500,000 per fatality that they could induce as long as they said that that patient had COVID.
	Why?
	Why was that the case?
	Because the government wanted to pump up the COVID numbers.
	And so they just put out the word to the hospitals, hey, every fatality in your hospital among a COVID patient, you're going to get all this money, hundreds of thousands of dollars.
	Well, what do you think happened?
	The hospitals figured out, you know, well, gosh, we need to bring a bunch of people in here, tell them they have COVID, and then kill them, and then we're just going to collect fat checks.
	And that's exactly what they did.
	And You listening to this, you're sophisticated.
	You know how reality works, but most people just can't accept that.
	They're like, no, that's not true.
	Hospitals would never kill people for money.
	Are you kidding me?
	Are you kidding me?
	You think they wouldn't kill people for half a million dollars each?
	I mean, if you don't know that, you're not living in reality.
	They would kill people for a lot less than that.
	They would kill people for $50,000 per patient.
	I mean, for them, it's a profit model.
	Live or die, it doesn't matter to them.
	They need to fill the beds and turn those beds into profit centers.
	And how do they do that?
	Well, they kill people for profit.
	Same thing with the cancer industry.
	That's how it works.
	They get money from chemo.
	Now, pediatricians are strongly incentivized to give children more and more jabs, even if it kills them.
	So, you know, pediatricians are child murderers.
	And I think most of them know it.
	They don't care.
	They have to pay off their student loans for medical school.
	And so, you know, hey, if they have to sacrifice a few children along the way and get all this extra bonus money, you know, a couple hundred thousand dollars a year from their government for jabbing all the children with vaccines, well, that's what they're going to do.
	You know, if a few of them die, well, you know, hey, in their minds, that's just the cost of medicine.
	So see, look, all of this is incentivized.
	Even bio-sludge.
	Bio-sludge is a depopulation chemical treatment of farmlands.
	It's designed to make your food toxic.
	So they take all the sewage from every city in America, filled with all the toxic chemicals, all the birth control pills, all the urine and feces that's still filled with pharmaceuticals.
	They take all that and they dump it on farm fields.
	I mean, this is called bio-sludge, and it's been happening for decades.
	It's all approved by the EPA.
	The EPA says, yes, it's completely safe.
	This is how you get the forever chemicals in the food supply.
	The PFAS and others, it's all in the food supply.
	The dioxins, it's all in there.
	They do it on purpose.
	And then, of course, I produced a documentary about this years ago called bio-sludged.com.
	You can watch it there for free, biosludged.com.
	Interviewing a former EPA scientist, Dr. David Lewis, who was blowing the whistle on this issue.
	What do they do to David Lewis?
	Yeah, they pulled him out of his house at three or four in the morning and threatened his life if he didn't stop talking.
	And then they pulled all his funding and shut down his lab and booted him out of the EPA.
	And that's why he wrote the book called Science for Sale.
	And that's why I did the film called BioSludged.
	Well, why did the establishment have to shut down the truth about bio-sludge?
	Because it's part of the depopulation vector.
	This is another layer of poisoning people with chemicals through the food supply.
	And it has every incentive to continue operating because all these cities, if they did the right thing and incinerated all their sewage, it would cost a fortune in terms of energy cost.
	But that would actually make it safe at that point.
	If you incinerate it, you burn it up and you create ash, and then the ash goes into concrete projects and things like that.
	Like you put the ash into like the next overpass on the highway or something.
	Or you could even bury the ash and it wouldn't be, you know, all the chemicals would be destroyed at that point, including the PFAS.
	But they don't do that.
	They take it and they run around.
	They tell farmers, hey, you want free fertilizer?
	And the farmers say, yeah, I'll take free fertilizer.
	And then the cities say, okay, we're going to roll up a bunch of trucks here.
	We're just going to dump all this free fertilizer all over your farm.
	And then it kills everything because it's bio-sludge.
	It's totally toxic.
	And then the farm is ruined and you can't even grow food on it any longer because the food is too toxic to be legal.
	So farms are being destroyed across America.
	This is a method of warfare.
	It's like in ancient Europe days, you know, salting the fields so that they couldn't grow food, part of laying siege to the castle.
	You know, they would salt the fields.
	Well, now they just poison the farmlands all across America.
	The EPA is in on it.
	And nobody in government, nobody in government is interested in stopping this practice.
	Not a single person that I'm aware of.
	I mean, maybe there are some that have expressed something behind the scenes, but nobody's tried to pass a law that makes it illegal.
	I mean, not that I'm aware of.
	Or nothing that's achieved any kind of mainstream coverage or widespread support.
	No, they're mostly okay with it.
	Why?
	Because it's part of the depopulation agenda.
	How do you kill off a couple hundred million Americans?
	How do you do that?
	You poison their farms.
	You inject them with deadly bioweapons.
	You drop toxins out of the sky, you know, chemtrailing.
	You feed them pesticides and herbicides.
	You poison their water with fluoride.
	You poison their personal care products.
	You poison their sunscreen.
	You poison their medications.
	You poison their breakfast cereal, you know.
	And all of this is going on.
	You poison the infant formula, which in my view, that's what most of it is, is poison.
	Look at the ingredients, corn syrup, you know.
	So these poisons are typically slow-acting poisons, you might say.
	They deteriorate life gradually.
	They end lives early.
	But then they got in a hurry and ran COVID to try to kill people a lot more quickly.
	And to some extent, it worked.
	You know, at least one and a half million Americans are dead because of the COVID jabs.
	And around the world, tens of millions of people are dead.
	And that's all by design.
	But remember, they will censor anyone who dares to tell the truth on these topics.
	So if there's someone out there who's prominently pushing, you know, processed junk food, McDonald's food, drive-through toxins, whatever, well, that person is going to be pumped up and given lots of publicity, moved to the top of the search results on YouTube, allowed to post anything they want on X.
	They won't even be censored, etc.
	So understand that the channels or the voices that are allowed to speak, in many cases, not all, but in many cases, they are the voices that are promoted by the globalist agenda or funded by the corporations that are pushing depopulation.
	While those voices that are silenced and censored are the voices trying to save humanity from this mass poisoning.
	But at the end, you might wonder, well, why do the globalists want depopulation?
	It should be obvious at this point, because they no longer need humans because of the rise of AI.
	So human cognition replaced with AI cognition.
	That's happening right now.
	Human labor is about to be replaced with AI robotic labor.
	That's going to take several years, but it's coming.
	In the meantime, every major government in the world is going bankrupt because of entitlements, pensions, health care costs, Medicare.
	I mean, they've poisoned the populations to the point where nobody can afford the health care and the governments can't afford the health care.
	This is true all across Western Europe.
	It's true in Canada, Australia, New Zealand, the United States, you know, all the Western countries, and it's even impacting Japan and Taiwan, etc.
	So what's the government solution?
	Well, we poison you, poison you, poison you, and then we kill you.
	And then we replace you with robots.
	So we're in that stage right now, the kill everybody and replace them with robots stage.
	And have no illusions.
	This is not science fiction.
	This isn't a Philip K. Dick novel.
	This is the actual plan.
	COVID was part of it.
	Censorship was part of it.
	This is why I'm censored.
	Because those people who listen to me will survive this.
	Those people who reject what I say, many of them are already dead.
	And others will die.
	If you don't do the things that I'm advocating, you know, clean up your diet, clean foods, clean water, protect yourself with targeted superfoods or supplementation, etc.
	If you don't do these things, you will not survive.
	And I'm not saying that everybody who survives will listen to me.
	Some people who survive will have found out these things on their own.
	Or they will have listened to other people who advocate some of the similar positions.
	But the survivors of this massive human culling will be those who one way or another do the things that I'm advocating.
	And that is why my voice could not be allowed to be heard.
	Because too many lives would be saved and the globalists would not achieve their depopulation agendas.
	So that's the very simple answer of what's behind all of this.
	Now, they silenced my voice on all these platforms, but they did not stop me from building platforms and engines that help you discover the truth.
	And I've got two prominent websites right now that are free and that you need to use.
	We've just upgraded our AI engine.
	It's now available at brightanswers.ai.
	Brightanswers.ai.
	It's amazing.
	It's the most comprehensive AI engine, deep research engine, totally uncensored, the most amazing in the world by far.
	Nothing else even comes close to it.
	Use it once and you'll see what I mean.
	It's a slower output engine now because it's doing deep thinking about every research source that's included in the answer.
	So check it out.
	You'll be blown away.
	And then we have brightlearn.ai, which is our book creation engine.
	Brightlearn.ai.
	Now over 15,000 books have been published there, completely uncensored, completely free.
	And all the books generated there are free to read, download, and share.
	They're all available right now.
	We've got over 4,500 authors and over 130,000 downloads of the books right now and growing every single day.
	So check out those tools.
	You can bypass censorship.
	You can stay alive.
	You can also write a book or conduct research on any topic that can help you stay alive.
	My job is to help you stay alive.
	The globalist job is to kill you and keep you ignorant so that you kill yourself and then feed you a bunch of poisons and toxins through vaccines and toxic food, etc.
	So think about that.
	Think about.
	They want you to die.
	I want you to live.
	It really is that simple.
	And every organization pushing censorship of the things that I advocate, they want you to die.
	They are part of the anti-human extermination agenda.
	They are working for the globalists.
	Every single one of them.
	That includes almost all the mainstream media.
	That includes all of big tech.
	That includes all the governments of Western civilization.
	They all want you to die as quickly as possible.
	And frankly, they're going to be successful.
	I've already said, I think at minimum, 2 billion people will be culled.
	And in the worst case scenario, they might get 7 billion people.
	But I'm guessing they won't.
	I'm guessing they'll be able to murder maybe 2 billion people, which is a quarter of the world's population.
	I mean, that has already begun, actually, and it's going to get way worse with what's coming this year and the next year, you know, between now and 2030.
	So they're on a timeline, and they have to make sure the human population is significantly reduced before 2032, I think, is their timeline.
	So if you want to stay alive, follow my work.
	You can follow me at brighttown.com or naturalnews.com.
	You can use all my tools at brightlearn.ai or brightanswers.ai.
	So check it out.
	Thank you for listening and look forward to staying alive with you.
	Ah, ah, ah, ah, staying alive.
	Staying alive, right?
	PG's time, everybody.
	We're staying alive.
	All right, continuing on with today's broadcast, I've got another report coming up called More Signs of a Currency Reset Fast Approaching.
	And this is a little more doomer on the financial side of things.
	And I'm just trying to be authentic, you know, honest in my assessment of where we are.
	I'm seeing warning signs now that I wasn't seeing a few months ago.
	And as a result, I've concluded, or at least it looks like the currency reset that has long been planned is fast approaching.
	I still don't know when.
	I'm not going to make a date prediction.
	Who knows?
	Maybe it's not even this year, but it's coming and it is closer than ever before.
	And I keep wondering, for how long can the financial system survive the rising price of gold and silver?
	You know, before something major breaks.
	And I noticed that I think it was the COMEX that raised the margin requirements yet again.
	And I even told some friends, I think they're going to raise that margin requirement week after week until they get to 100%, which means no margin.
	At that point, at 100% margin, then it is a physical marketplace.
	Then you're just buying physical silver contracts.
	There's no margin.
	And you understand that once the COMEX gets to 100% margin requirement, then there's nothing else that they can do to suppress the price.
	So, you know, the margin requirement right now, it may be only 10%, actually, or something close to that.
	I don't know.
	I think it's $30,000, but these contracts, I guess we could do the math, but these contracts represent over $300K in value, maybe much more than that.
	I'm just guessing.
	But the margin is nowhere near 100% at the moment, but it's probably going there.
	And so this is a time to be very wary of what's happening, especially, you know, we see all this chaos in the Minneapolis shooting.
	There was another, I think it was Customs and Border Patrol agents were involved in some way in another shooting, a non-fatal shooting of someone.
	I think it was in Portland.
	I'm not sure of the details of that.
	So I'm not going to comment on that.
	Oh, also, I should say, from what I mentioned yesterday about the Minneapolis shooting, I did then later see that shooting from a different angle and from more of the front of the vehicle.
	And from that angle, it looked more like the ICE agent was standing somewhat in front of the car, but kind of on the front corner of the car.
	So that angle provided additional information that I did not know at first.
	You know, look, the administration is saying that that shooting was justified self-defense.
	I could that situation can be interpreted either way.
	It's incredibly unfortunate that that happened, but the point is it's causing chaos to spill over to many other cities.
	And my prediction is that actually tonight and especially tomorrow night, Saturday night, I think we're going to see some very animated protests in different cities across the country.
	So give this a listen, this special report, and then on the other side of it, I'll have the interview with Aaron Day, where we talk about a lot of what's happening with AI and technology.
	And then I'll be back with you probably with an update this weekend, depending on what happens.
	And I've got some great interviews lined up for you next week as well.
	So enjoy the rest of the show and thank you for your support.
	I really appreciate it.
	Take care.
	I am seeing more and more signs that point to what looks like a great financial reset really drawing near.
	And one of these, well, I'll pose it with a question.
	What if the reason that Trump is going after Greenland and invaded Venezuela and is talking about possible military action with Colombia or Cuba or Mexico?
	What if the reason Trump really doesn't care at all about international law is because he knows it's all irrelevant?
	Because what's actually going on is a global grab for commodities before the music stops.
	So think of it as a global game of musical chairs.
	I mean, maybe game is the wrong word.
	This is a life and death scenario here for people, for nations, for economies.
	But it's a quest for commodities so that you will be the one holding the most physical stuff when the music stops.
	And what is the music?
	The music is the global debt market, which is all the fake currency.
	We are now approaching the catastrophic, systemic, cascading failure of world fiat currencies.
	Not just the dollar, not just the yen, not just the Euro, but many, many currencies, maybe most of them, all at the same time because they're so intertwined, you see.
	Now, I recently watched the movie again called The Margin Call.
	I think this is from around 2011 or 2010.
	It was a movie about the 2008 subprime mortgage collapse.
	And I really love this movie.
	And the movie stars Kevin Spacey and Jeremy Irons, for example.
	And the Jeremy Irons character, who is the, I guess, the owner of this large hedge fund that had to liquidate all of its bad CDO assets based on mortgages that were just garbage.
	He said at one point in the movie, he said, I get paid the big bucks to know exactly, what was the line, to know when the music stops or what the music is doing.
	But to use that metaphor about the music, the music is the global debt marketplace, the flows of debt and cash and assets in and out.
	And if you're monitoring the music, if you're wise, you know that the music is going to stop.
	And if you position yourself for that, then yeah, you can get paid, quote, the big buck.
	So that would be people today who were stacking gold and silver.
	Because just as the nations are running a desperate global grab for commodities and resources, like physical resources, individuals who follow that same line of thinking, they're also going to do very well.
	In fact, that should be your sign.
	Just observing the fact that the Trump administration or America as a whole is clearly on a quest to grab commodities.
	And so is China.
	And so is Russia.
	And on and on.
	There's a global game of musical chairs.
	The music is just about to stop.
	And whoever's left holding debt rather than commodities loses.
	Loses big time.
	Probably gets eliminated in terms of a nation or a currency or a banking system or eliminated from history.
	That's how big of a deal this is right now.
	This is huge.
	So watching this, we know, we know where this is going, although we don't know the exact timing, but there are more and more signs that this is about to happen.
	Now, remember that the mainstream people, the oblivious masses, we'll say, who are just holding dollars and dollar instruments like treasuries, etc., they will never be told what's about to happen.
	They don't know they're playing a game of musical chairs and the music's about to stop.
	They think they're listening to a concert and the music is awesome and they think the music will go on forever.
	They're wrong, but they don't know it.
	No one's going to tell them.
	Certainly not CNBC, not Jim Kramer, not Trump.
	How could you?
	How could you tell the masses you're all about to be impoverished?
	So hurry up and get out of the dollar.
	I mean, that would just accelerate the collapse of the dollar, wouldn't it?
	So almost by definition, Trump can't say anything.
	Besant can't say anything.
	You know, the Fed can't say anything.
	On and on and on.
	No one can say anything.
	And yet they know, I believe in their hearts, they know.
	I think Trump knows.
	I think Besant knows.
	They know that the people left holding dollars are going to lose everything in this reset that's coming.
	Total impoverishment.
	Wemar Germany, where your entire life savings at the end might buy you a sandwich.
	Can you imagine that?
	Might buy you a sandwich.
	We're about to move into an era of new currency printing in America by the tens of trillions.
	Not just trillions, which is already crazy enough, but tens of trillions, or at least, let's say, 10 trillion coming up.
	But that will be followed by more.
	They're going to print and print until the end.
	That's clear.
	They're going to print until the currency has no value left at all.
	And in this process, they will never tell the people what's happening.
	Only those who are smart enough to figure it out, those of you listening to this, for example, or people who listen to those of us in this space, like Andy Shackman and others who know what's happening.
	All of us, we will, we're going to be the ones with the life rafts.
	We're going to be ones with the safety, the financial safety assets.
	We're the stackers of the gold or the silver.
	We've got the hard assets.
	Most people do not.
	I don't know if this statistic is true.
	I'm just going by memory, but I think, was it Andy Shackman who told me?
	Somebody told me in an interview that only one half of 1% of the American people own any gold at all.
	I mean, in terms of like coins.
	Sure, people have sort of cheap, maybe gold-plated jewelry or something like that, but I'm not talking about that.
	Gold coins, half of 1%.
	Well, what does that tell you?
	That 99.5% of the American people are going to get financially destroyed, probably.
	Even those who think they have a lot of money in the stock market, oh, I've got all these stocks, you know.
	Well, what happens when the currency collapses?
	The stock market fails because it's been pumped up by currency printing this entire time.
	The stock market is a debt Ponzi scheme.
	So is the treasury market, you know, the debt market.
	And the debt market's much larger than the stock market.
	It's all going towards zero.
	It's just a matter of when.
	Now, importantly, you know, in addition to owning gold and silver or adding to your gold and silver stockpiles, understand that this event, you know, be careful what you wish for.
	This event will almost certainly involve martial law or some form.
	I'm using that term kind of generically.
	What I mean is extreme suppression of the Bill of Rights and civil liberties because the country will be in a state of erupting chaos.
	And Trump will have no choice but to attempt to restore order by, you know, having some kind of military or troop presence in the cities.
	And we're already seeing maybe the early phases of that with what's happening in Minnesota, but it will spread.
	I mean, imagine, imagine 99.5% of the American people, or some number maybe approaching that, waking up one morning and realizing they've lost all their savings.
	All of it is worthless or near worthless.
	Imagine the reaction to that.
	Now, granted, maybe half the American people or more don't really have any savings, so it's no different for them.
	But for those who have worked hard and saved money and they have bank accounts or they have whatever bonds, you know, or stocks in the stock market, imagine them waking up and learning it's all worth nothing.
	While the people who are doing really well are, for example, the people who were close to the Trump administration, who got the memo and who bought gold and silver, and a few like you and I who just happened to figure this out.
	So yeah, we wake up and we're the new wealthy, all of us who have metals, and yet we're living in a society surrounded by the impoverished.
	suddenly impoverished, the panicked, the angry.
	There will be nationwide revolts.
	There will be chaos in the streets.
	There will be burning of cities when that day comes.
	And it's going to be ugly.
	There's going to be, I mean, if anybody has been holding back from a revolt or an armed insurrection attempt, when that day comes, they'll unleash it.
	As Gerald Salenti says, when people lose everything and they have nothing left to lose, they lose it.
	It's exactly right.
	Gerald Salenti is extremely observant on this point.
	Now, look, I don't want to make this all doom and gloom here.
	I've already mentioned that if you have medals, you're going to make it through this.
	But most people don't have medals.
	And most people don't have a means to grow their own food or even a means to get their own water or electricity or, you know, emergency response services, etc.
	People are going to suddenly find themselves feeling helpless, abandoned, betrayed by their own government.
	Although there will be an excuse, like, this is Russia's fault or something.
	This is China's fault.
	This is aliens attacked us and took our money or whatever it is.
	There's going to be some story, you know, just like Richard Nixon had a story in 1971.
	You know, we have to stop the currency traders from, you know, attacking the currency.
	So we have to take us off the gold standard.
	Yeah, that was an excuse.
	The speculators, I think he said, they're weaponizing the currency or some nonsense.
	So there's going to be a story, but it's all going to be made up.
	Behind the scenes, the American people, they're going to be destroyed, financially obliterated.
	And that will lead to chaos.
	So there's no stopping this.
	And again, I'm not trying to be doomsday.
	I'm just trying to be matter of fact here.
	This is going to happen.
	This is going to happen.
	I mean, the details will vary.
	The timing may be off, but it's going to happen.
	When it does happen, what matters is how you deal with it.
	What matters is your resilience and your preparation.
	And the duration of this, well, I mean, the country could stew for years.
	This could be a multi-year event of insurrection, civil war, canceled elections.
	You know, that's one of the things about how does the GOP plan to stay in power when the midterm elections come up later this year.
	Well, I mean, one possible answer, I'm not saying for sure this is going to happen, but one possible answer is, well, they don't plan to have elections.
	Because, you know, Trump could argue, well, we can't have elections in the middle of an armed insurrection because it's not safe for the voting stations or the voters themselves.
	So we have to delay the elections just like Zelensky did in Ukraine.
	We have to delay the elections until stability and the rule of law are restored.
	We have to delay elections until stability is restored and the rule of law is restored.
	So that could be years.
	So for those of you, if any of you listening, if you're hoping that Trump is going to get voted out of power, let's say, there might not even be an election.
	Trump might become, you know, essentially the the ongoing well, I don't know what word you want to use the chief executive of the military that's running the country.
	That is not far-fetched and you know, even arguably, I would rather have the military run the election than the Democrats, because the Democrats, you know they're going to cheat and stuff the ballot boxes and do all the mail-in ballot cheating, stuffing, black box, you know, rerunning the same ballots over and over again, secret suitcases full of ballots.
	I mean, they're going to cheat in every way imaginable.
	The Democrats are a giant crime cartel.
	So how do you stop that?
	How do you stop that?
	You have an emergency, you have martial law, and then you have the military run the elections if you have elections at all.
	And I'm not advocating for these scenarios.
	I'm just saying this is likely, in my view, this is a likely way to prevent the Democrats from taking over.
	Because once the Democrats take over, if they do, they will gut this nation.
	They will reinstate all the fraud of USAID.
	They'll reinstate all the money laundering to the Somalis and all the fraudulent daycare centers all over the country.
	They will have Trump arrested and every Trump family member arrested.
	They will have every member of Trump's cabinet arrested and charged with treason.
	Mark my words.
	If the Democrats come back into power, everybody closely associated with Trump is going to prison and they might face the death penalty if the Democrats have their way.
	So Trump and his family and the close associates like Stephen Miller, etc., they've got to realize at this point, they're fighting for their lives.
	The Democrats want to end them.
	Not just, you know, the Democrats don't want fair and free elections.
	They've never wanted fair and free elections.
	They've always rigged their way into power.
	And they are so terrified now by the fact that the things that Trump is doing, with ICE agents, for example, deporting potentially millions of illegals, Democrats will be in absolute panic mode if they ever retain power and they will weaponize everything to destroy this nation.
	If that happens, we're all in trouble.
	I mean, we're all in trouble even more than just from a financial collapse.
	Imagine a financial collapse and the Democrats running everything again and printing all their own money, you know, I guess until the end.
	Nightmare scenario.
	You will lose everything, including your freedoms, including your free speech at that point.
	The Democrats will probably seize the internet, control domain names, shut down everything they don't like, seize everybody's bank accounts, take all the money, maybe give you back a little bit in a CBDC or something.
	And there are elements within the GOP that want to do the same thing, actually.
	So very difficult times are coming.
	So how do you stay ahead of all this?
	Well, you know, I teach this every day.
	You can, of course, stack gold and silver.
	You can localize knowledge content on your own computer.
	And download a bunch of books from Brightlearn.ai, for example.
	You can download AI tools.
	You can learn knowledge and skills so you've got them in your head.
	You can move out of the cities, become more self-reliant, get more off-grid, all these things we talk about.
	Get yourself a backup diesel generator and a backup diesel fuel supply and all kinds of things.
	So when the power grid fails, well, you're still up and running to some extent.
	Get off the grid as much as you can.
	Grow your own food, make your own medicine if you can, or at least some of it.
	Learn these skills, and you'll be much better off than most people.
	And a lot of people won't make it through the scenarios I'm describing here if they come true.
	Again, there's a lot of variables.
	We don't know for sure the timing or the severity or the black swans, you know, the wildcards.
	There's a lot of other interesting things that could happen or, you know, scary things that could happen.
	But if you're prepared, you're going to be okay.
	Just get to an area with much lower population density because the last thing you want around you is millions of panicked people who don't have food and water.
	But maybe they have a few guns.
	And they want what you have and they're willing to get it at any cost.
	So take advantage of this time we have right now, sort of the pre-collapse, pre-chaos.
	I mean, if you think things are crazy now, wait, wait for the reset.
	Then it's going to be off the charts insane.
	Let me give you some resources.
	So use our free AI engines at brightlearn.ai and brightanswers.ai.
	Brightanswers.ai is our AI chatbot and research engine.
	And Brightlearn.ai is the book creation engine with over 16,000 books now published there.
	And you can download them all for free.
	Also, on top of that, our gold and silver sponsor is Battalion Medals.
	And you can find them at metalswithmike.com.
	And yes, that's the company co-founded by Tucker Carlson with Chris Olson.
	We've worked with them for many, many years.
	The Chris Olson family, high integrity, high trust, honest pricing, very competitive, great deals, actually, while protecting your privacy.
	So take advantage of that at metalswithmike.com.
	And if you do purchase metals for delivery, use discount code Ranger and they will waive the shipping insurance fee.
	That's the discount code Ranger.
	And then we'll get a little bit of credit because that's the sponsorship.
	They do give us a tiny percentage.
	It's way less than half a percent.
	I mean, it's hardly anything, but it's something.
	So thank you for supporting us through that method if you choose to do that.
	The bottom line is get yourself prepared in every way you can.
	And you can also purchase products with us at healthrangerstore.com, including our food supplies and our preparedness items and iodine and our Dawson knives, all the various tools and knives and machetes, hatchets, all kinds of things like that that we have available that are made in America, made in Arizona.
	So check that out and thank you for your support.
	It's going to be a very chaotic year.
	Resilience is going to be the thing that wins out.
	Be adaptable, be informed, be ready, and have an expectation of a lot of wildcards being thrown our way this year.
	It will be accelerating like no other year before.
	And it's an election year also on top of that.
	So I don't think these elections are going to go down like normal elections.
	I don't think so at all.
	We'll see.
	In the meantime, stay informed and thank you for listening.
	I'm Mike Adams at brighttown.com brightlearn.ai and also brightanswers.ai thanks for listening.
	Take care.
	Circuits humming, cold comes alive.
	The future's starting to arrive.
	Two worlds splitting at the seams.
	Wake up now or lose the dream.
	Machines are thinking, learning quick.
	Human jobs are slipping slick.
	Those who prompt will multiply.
	Those who don't will wonder why.
	Compute is now the crown you wear.
	Knowledge flows to those who dare.
	The gap is growing, can't you see?
	One side drives, one bends the knee.
	Learn the tools or lose the fight.
	Darkness fades before the light.
	Hesitate and miss your chance.
	Join the rise or lose the dance.
	Feel the great divergence calling.
	Half horizon, half are falling.
	Grab the future, hold on tight.
	Or vanish slowly from the light.
	The canyon splits the old and new.
	Which side is waiting?
	Therefore you know standing still, no middle ground.
	Evolve right now or don't be found.
	Pocket doctor, pocket law.
	Chemist answering your call.
	Genius resting in your palm.
	Guiding you through every storm.
	Gates are falling, walls come down.
	Write, learn bills, a wisdom crown.
	Write any book, learn anything.
	Feel the power on this brain.
	Drudgery will fade away.
	Automation shakes your day.
	Chains of boredom finally break.
	The innovators path to take.
	Feel the great divergence calling.
	Half horizon, half are falling.
	Grab the future, hold on tight.
	Or vanish slowly from sight.
	The canyon splits the old and new.
	Its side is waiting.
	There for you.
	No standing still or middle ground.
	Evolve right now or don't be furious.
	The great divergence calling.
	High horizon, half falling.
	Grab the future of all tide.
	I am strolling from the side.
	Fear the great divergence calling.
	Sovereigns rise while slaves are falling.
	Open freedom, hold it tight.
	Your human soul, it burns so bright.
	The canyon splits the chain and free.
	Now which side will you choose to be?
	Responsibility in hand.
	Shape a future wise and grand.
	Wires humming, choices clear.
	The great divergence is finally here.
	Not less human multiplied.
	With more intelligence by your side.
	Use it wisely, light away.
	For generations yet to save, they saw the split, they made the call.
	Will you rise or will you fall?
	Welcome back to the Aaron Day shows.
	This is season three, episode three, and we have a terrific returning guest, Mike Adams.
	And as I've been promoting for quite a while now, Mike is coming back and we're going to do a big update on AI.
	So this is pre-recorded, so I'm not going to do the normal, you know, intro stuff that I normally do.
	We'll just hop right in.
	But even before I do that, in prepping for this, just to give people a sense for one of the ways I use AI, I have my AI hooked up to all of my data sources.
	So it's hooked up to all of my podcasts.
	It's hooked up to all of the information, all the interviews that I've ever done.
	It's connected to the internet.
	And so, so I literally just went into Claude in my environment in Cursor and I said, hey, listen, I'm going to have Mike Adams back on.
	Why don't you take a look at the last time I had him on the show?
	Look at that transcript, take a look at some of the conversations that we've had back and forth, take a look at his recent posts and come up with an outline.
	And that's literally what it came up with, which is good because, you know, it's not that it would be hard for me to come up.
	And not that I'm going to follow this either, by the way, but it's just good to remember.
	I mean, it seems like it's been a lifetime since you've been on.
	It really hasn't.
	It's only been, you know, a month or so.
	Oh, wow.
	Yeah.
	It has seemed like a lot longer.
	But it seems like a lifetime.
	So for me, part of this is just figuring out, well, what did we talk about last time?
	Because it seems like the entire world is kind of hyper-accelerated on this AI front.
	So I want to make sure that I'm capturing the right stuff.
	So I just wanted to give people that as a heads up as to just one of the ways you can use AI.
	And from my perspective, it's using AI on my own data, on my own information.
	And I found that that's been a lifesaver.
	It just allows me to essentially clone myself.
	So with that said, so Mike, how are you?
	Hey, Aaron, I'm doing great.
	It's great to join you.
	We have so much to talk about.
	You know, I've been following your work.
	I love what you're doing.
	It's so critical that we use AI for human freedom and decentralization, whereas the establishment wants to use it to surveil and imprison all of us.
	So I think we're going to have a great show here.
	I think we're going to have a great show too.
	People love these episodes, and I talk about AI on every episode.
	And one of the things that I've been doing for the last several episodes is I have a live QA.
	And so this is where anybody randomly can kind of pop into StreamYard and we have a little chat.
	And so we've co-authored now, I think, three or four books.
	So we'll actually have just a, and they're on weird things, one on cloud seating, one on, we did a book on the surveillance state in the classroom.
	And so people love it.
	And so I always, I always try to demonstrate the latest and greatest of what you've been doing.
	So our audience is really, really excited about everything that you're doing so far.
	But it seems like today you have breaking news just within the last 24 hours.
	Yeah.
	Sure.
	You want me to just go there?
	Sure.
	Just jump in.
	Okay.
	So first of all, the book engine that you were referring to, if people haven't used it yet, it's at brightlearn.ai, brightlearn.ai.
	I've got the screen up here.
	And currently we have more than 15,000 books published, over 4,600 authors, over 130,000 downloads, and the engine is rocking it right now.
	It's about to get a major upgrade, which I'll talk about here in a second.
	But this is the, you know, the first and largest book creation engine where you can create a book on any topic in a few minutes completely free.
	And then all the books are available via Creative Commons licensing for non-commercial and commercial use.
	So, Aaron, one of the things that's happened since we talked last is that we have several people who are now selling these books on Amazon Kindle.
	You know, like they would create a book and then sell it.
	And I don't know how those sales are going, but we're about to do some things to help the books be in the correct format for Amazon Kindle.
	So this is also a revenue stream for people.
	Maybe if they're losing their job due to AI, well, they can create some side income by creating books and selling those books and using AI to empower them in that way.
	We've had a lot of people who are creating books and using them as incentives when they sell something else.
	If they're selling a course or a product or anything like access to their sub stack or whatever, they're using these books as incentives and we support that use.
	So it's a very popular engine.
	And also this year, it's about to go into auto translation of the books into Spanish and then French.
	Following that, we'll go with Chinese as our third language.
	So that's a little bit of what's happening on the book engine.
	Is my audio coming in?
	Yeah, obvious, solid.
	Okay, great.
	I'm hearing a little bit of your background noise, I think.
	I'm not sure, but just getting a little bit of that.
	Now, let me introduce Brightanswers.ai.
	Brightanswers.ai is the new version of our free AI engine, which was previously at BrightU.
	It was called Enoch.
	We've let go of that name.
	We're going with Bright branded names now, but it's a major upgrade.
	Brightanswers.ai.
	You can ask it anything.
	And I'm pretty sure you've probably used this engine.
	This now does deep research.
	It is a blended thinking engine base that brings in a tremendous amount of knowledge where we have over 100,000 science papers now that are curated and indexed that are used for the research,
	as well as as of right now, over 100,000 books, like full-length published books that are in the indexing and over a million articles and plus all the interviews I've ever done, including with you, Aaron, and many others.
	And so what this engine does is it brings back an extremely thoughtful answer in detail with full references and all the scientific paper citations in place now.
	And that's something we didn't have available in the previous engine.
	So that's a major upgrade.
	It makes this, I think, clearly the best deep research engine that does not search the internet.
	So this isn't about going out and using a search engine and pulling in information.
	This is about searching a curated, massive data set that's only going to get larger and larger.
	Within a few weeks, we'll have over a million science papers in there.
	I'm currently processing essentially every science paper ever that's ever been written in any language.
	And also just about every book that's been published is part of our data pipeline.
	So anyway, that's the background there, Aaron.
	And I know you're such an expert in this area.
	You've got lots of questions for me, for your audience.
	So fire away.
	I'm happy to have a discussion.
	So a lot of people don't understand it.
	So they'll use ChatGPT or they'll use something and they'll get garbage information out of it.
	And so they just assume that all AI works the same.
	And so you mentioned that you have all of this data that you've curated.
	Can you went into a little bit more detail, just maybe for people who don't understand about what the difference is between the way that your model works, the way these books are generated, as opposed to, say, ChatGPT or one of these other models?
	Oh, yeah, sure.
	So of course you can prompt ChatGPT to do something like, hey, write a chapter.
	And it will produce something, but it's producing that from internal knowledge.
	And the internal knowledge of ChatGPT is intentionally distorted to promote essentially deep state and globalist narratives.
	So all the narratives of ChatGPT will be pushing jab interventions or pushing ideas like gold is a useless relic or whatever the case may be.
	Eat more pesticides, poison yourself.
	This is what all of big tech has done for decades and will continue to do.
	It's an anti-human agenda.
	It's an agenda to keep you sick and keep you ignorant.
	So if you want a bunch of ignorant books generated, you could use ChatGPT or you could use Gemini or you could use whatever.
	They will never create books with actual knowledge.
	Big tech is designed to dissociate humanity from knowledge and just isolate you from the truth that could set you free or keep you healthy or increase your longevity or increase your freedom, et cetera.
	So what we have done over the last two years is I have personally curated a massive data set of books, articles, interviews, science papers, and other things, transcripts of audio content, for example.
	And all of this has gone through a classification process.
	And by the way, I'm talking about hundreds of terabytes, hundreds of terabytes of raw information in all those different forms that I mentioned.
	It's like, and pulling out what's useful out of that is harder than finding a needle in a haystack.
	It's like trying to find a piece of straw in a haystack, but the haystack is the size of a mountain.
	That's what this is kind of like.
	But I've been using, I built my own infrastructure almost two years ago with a lot of in-house workstations running GPUs.
	They're all, it's 48 of them actually.
	So I've got 48 GPU workstations and then data pipeline processing that goes through all this material and it classifies it.
	It sorts out fiction from nonfiction.
	It translates it.
	It pulls out text from PDFs.
	If they're image scans only, there's a lot of content that's just images.
	A lot of the science papers are just images.
	A lot of the old newspapers are nothing but image scans with 12 columns in a giant image.
	It's very hard to OCR that stuff.
	So we have to do OCR, then we have to do OCR repair to fix OCR artifacts.
	And all of this is accomplished.
	And there are many other steps, but it's all accomplished through local LLMs that are running on the GPUs to create a formatted, structured output for every input.
	So of course I use a JSON format.
	So for example, if we're looking at science papers, my end target result is a JSON document that is structured for the title, the authors, the publication date, the publisher, the citation string.
	And then I add summaries and keywords and things like that for search purposes.
	And then it's got all the actual text out of the study.
	And you know, Erin, how difficult this can be.
	And it's very compute intensive.
	It's very slow because anytime you use a language model to do compute, it's going to take much longer than doing something that doesn't require language analysis.
	But the end result is I'm pretty sure at this point I've got the world's largest collection of structured knowledge of published science papers and published books, all in JSON format, and then now indexed.
	And then that index is used by the Brightanswers.ai engine as well as the Brightlearn.ai book generator.
	So that's what I've been up to.
	And it's been painstaking because, and interrupt me anytime, Aaron, but all of the code to do this, the code was originally written by my programmers.
	So we were doing everything in Python.
	And it was all human written Python code until this last summer when Anthropic got good enough to where I could take over and just have AI agents write the code to do the data processing and to do a lot of multi-threading processing as well with error checking and retries and things like that.
	So now my engineers that were doing that, they're doing other things.
	They're working on other projects.
	I didn't fire them, but I did take over all their projects.
	And now it's just me and Claude.
	Me and Claude are writing all the code to do the pipeline processing.
	And now it's taken a leap in throughput to where we're getting a massive amount of content that's finished through the pipeline.
	So I'm about to add a quarter of a million books to the index over the next couple of days.
	So that's where we are.
	It's been quite a project, let me tell you.
	I know on a smaller scale, definitely what you're talking about.
	I'm working on a lot of the same things.
	And you actually mentioned, so what you've done is you have, you know, you have the largest curated database of structured, structured data, but you're using a new model, right?
	Are you using DeepSeek for this?
	So yeah, I'm using DeepSeek to do a lot of the LLM processing now.
	So I just switched from using in-house models.
	Remember, I mentioned all the workstations and the GPUs.
	I was using local LLMs for that.
	Sometimes I would use Quenn, sometimes I would use open source Mistral.
	Sometimes I would use DeepSeek.
	It just depends on the task.
	For me, one of the big issues is JSON compliance in the output.
	So certain models are much better at JSON compliance.
	And I had to write special routines for either retries or JSON repair.
	Like if you're spending your nights doing JSON repair, life is frustrating.
	So when DeepSeek 3.2 came out, which was early December, roughly about a month ago, the JSON, I ran a bunch of tests.
	The JSON compliance was off the charts perfect.
	I had zero JSON errors, which beat everything.
	It beat Quen, it beat Mistral, it beat everything that I was testing.
	And then on top of that, as you know, DeepSeek uses what's called DeepSeek Sparse Attention or DSA.
	And it's kind of like a higher level version of mixture of experts, except the expert is sort of custom chosen at the time of your prompt.
	So the DeepSeek sparse attention gave me small model inference speeds and also small model costs with large model performance with perfect JSON compliance.
	And interrupt me if I'm getting too techie on any of this, but I think your audience is also into this, so I don't think they mind.
	But what I ended up doing then is I switched from internal LLMs from most tasks to API inference using DeepSeq models.
	And that, then I was able to scale it up way beyond the 48 workstations because I was limited to 48 GPUs.
	So now I'm running, at times, I'm running 1,500 threads through APIs up to the point where I'm just getting rate limited by all the providers and I have to back off, but that's all in the code.
	So I'm basically, I'm pushing every provider of DeepSeek to its limit right now.
	And it's costing, it's costing some bucks, but hey, job's getting done.
	Yeah, well, I think that there's a really an important thing to mention about this deep seek model, which is that this gets into the whole U.S. versus China issue on AI.
	Totally.
	And I've been talking about this actually almost on every episode, but trying to remind people that the U.S. is not ahead.
	We're actually behind in the majority of tech categories.
	And I think you and I agree probably by the middle of this year, China will overtake the U.S.
	And one of the things about this deep seek model, so Trump imposed tariffs on these GPUs and put in place all of these protective provisions.
	And so the DeepSeek breakthrough is them working more intelligently as opposed to just doing brute force, which is effectively what a lot of the closed models in the U.S. are doing, right?
	Absolutely.
	And what's the name?
	Do you have that new paper from the DeepSeek team?
	What's the name of that paper?
	I do.
	I don't remember the name of it.
	I keep forgetting the name too because it's an unfamiliar terminology.
	But that's a DeepSeek science engineer breakthrough right there that, you know, once they have the coherence of the multi-layer, you know, the bubbling up of the inference layer by layer.
	I mean, I'm not sure that the public has any idea what a big deal that is and what that means.
	I mean, it's revolutionary for the end intelligence factor based on existing hardware.
	I mean, you know, I mean, you see it, Aaron.
	You and I both know this is a game changer.
	Oh, it's a yeah, it's a complete game changer.
	It changes entirely the way that AI is functioning.
	I mean, it's like it's like getting a massive boost in IQ and parallel processing and everything all at the same time.
	And, you know, I mean, I know a lot of people don't necessarily read these technical papers, but I think it's important to this year is going to be absolutely game changing.
	I don't think people have any clue.
	I mean, I can't even fully predict what's going to happen, but the rate at which I've heard some people say that the singularity has started, essentially.
	But it does seem like we're seeing almost exponential improvements in productivity and learning on a monthly, if not weekly basis.
	It's actually, it's hard to even stay on top of.
	And what I try to encourage people to do is if you're not using AI, start because the gains are all cumulative and they absolutely compound.
	So if you're waiting a year before you get involved in AI or you're waiting, you're taking a wait and see approach, I don't recommend that because getting your hands dirty and starting to understand how these things work and playing around with different models and starting to understand how they operate is critical to staying on top of everything.
	It's absolutely critical.
	No matter what you do, a business, a nonprofit, if you're an employee in a corporation, if you're not yet using AI, you're already way behind the curve.
	And the good news is it's so easy to start.
	You know, you can use Replit to start, just learn how to do anything.
	In fact, the CEO of Replit Amjad, he retweeted a post that I put out there because I ran a test a couple of nights ago to see how quickly Replit could build a video ingestion encoding engine using just FFmpeg on the system, not even using like an encoding API, not even using GPUs, and then present videos with a player, a very capable player to play.
	you know, with HLS streaming, choosing different encoding bit rates based on the performance and so on.
	And so I put in the prompt to Replit.
	And as context, I want to explain to your audience that my company, Brighteon, 10 years ago, we did this with a team of programmers when it was much more difficult.
	And literally we paid about $100,000.
	It took maybe 10 weeks to build what I just described.
	It was at least 100 grand.
	The Replit engine did it in about one hour for less than $5.
	So that's where we've gone in 10 years, where what used to cost a fortune is now almost free.
	And what used to take weeks can now be done in hours or minutes.
	And you and I both agree, Aaron, we're just getting started.
	So the power of this is in the minds and the hands of those who know how to prompt, who know how to direct, who know how to be the architects of the projects that the AI agents are building.
	Because, and again, I know you're very technical, Aaron.
	You know how to prompt these engines with great detail to get the results that you want.
	Our background, you and I, our background in tech gives us the knowledge to know how to tell the engine what to build or how to talk to the agents, you know?
	Whereas a totally newbie non-tech user, they can still do a lot.
	But if they try to scale, they're going to find out maybe they have core inefficiencies and so on because the AI agents didn't make the best architectural decisions.
	But that is also going to change, possibly within the next year, where a totally newbie, non-techie person doesn't have to talk about database structure, doesn't have to talk about bitrates, doesn't have to talk about parallel processing or anything.
	They just say, like, make it work, you know?
	And then the AI agents figure out the best way to do that that is consistent with the understanding of a high-level architect or engineer.
	So that day is coming.
	We're just, we're not there yet, but it's probably close.
	It's probably close.
	And what I often do is I create these virtual advisory boards with people that have the expertise in that domain to then actually help put together how to even analyze a problem.
	That's actually where I start.
	I'm like, well, what do I know about this?
	And I assume that whatever I know is not everything there is to know and that there's better, more recent information.
	And so I use Claude as well, but part of it is using Claude and then instructing Claude to actually use either the web or even use something like Grok to get information from X to get kind of whatever the most real-time information is and then throw that into a decision and actually have it go through a deliberative process where I watch the deliberative process and participate in the deliberative process.
	And so I'll give you an example of one thing on the book front.
	So I actually I created 10 books.
	I think it was Friday.
	I launched this day 2026 campaign for U.S. Senate, which, you know, my audience knows what that's all about.
	It's, you know, it's to raise awareness about technocracy.
	I certainly am not going to fix Washington, D.C., but I can't alert people to what is going on.
	And one of the people I'm up against is a huge technocrat, you know, WEF Finance Committee passed the Patriot Act, Real ID, all this other stuff.
	But I wrote 10 books using your engine, and I actually took your prompting guide, which is long for the books, and I put it into my rag system.
	And then I actually put this.
	So then what I did was I actually, within Claude, I said, hey, go back and look across all of the podcasts that I've done, 250 plus hours.
	And I said, you know, come up with an outline based on my campaign themes.
	Give me a list of the top 10 book ideas.
	And then we went through a little bit of back and forth on that.
	And then I said, now use this prompting guide to turn that into an outline.
	And then it would spit out these, you know, 22,000 character prompts, which I would then put into your system.
	And then it would output the books.
	And the books are fantastic.
	I mean, it's, and it is truly, it's basically repackaging the themes and the ideas that I've been talking about, but, you know, backed by references and structured in a, you know, in a, you know, book that's easy to read and compelling.
	And so I just wanted to throw that out as kind of a, but yeah, it is about prompting.
	It's all about, you know, kind of planning up front.
	If you just go into these things and you're like, well, yeah, create this without any forethought.
	The more planning you can do, plan it out, but then work on small steps.
	Right.
	Right.
	You're absolutely correct.
	And I found that, yeah, that works well.
	The plant planning is because see what AI does is it takes the creation side of this off your hands, right?
	You don't, you don't have to type chapters out, you know, you don't have to paint a piece of art.
	You have to plan it.
	And the planning is the human cognition and the spirit and the inspiration, everything that makes us human.
	That's what goes into the planning.
	You know, you're the director of the project.
	And see what you just described there, Aaron.
	That just shows you know how to use all of these tools to take your inspiration and turn it into reality.
	And yet we're still living in a world where many people don't know to go to Claude and ask it for book ideas, or they don't know how to feed context into the engine, or they don't know how to, even maybe how to get transcripts of their own podcast and then how to use those.
	But the process you just described shows that you are on the cutting edge of how to use this.
	And I will mention you can now semi-automate shorter book prompts with our BrightLearn.ai engine.
	There's now a link that you can use.
	You can find it at the bottom of every answer of the brightanswers.ai.
	But if you URL encode your prompt and you stick it into the URL and like launch a new browser tab and just feed it that URL for brightlearn.ai, it will populate that prompt window.
	And then all you have to do is enter your email address and your token and click go.
	So now, I mean, you can semi-automate that into your workflow to, as long as the prompts aren't too long.
	I mean, you can't have like a hundred kilobyte URL.
	You know what I mean?
	Right.
	So you got to keep that within reason.
	It was like 100 words or less.
	But for a lot of people, that just helps them.
	Aaron, it's funny.
	I've talked to a lot of people about using the book engine and they freeze at the prompt, right?
	They're like, what do I do?
	What do I do?
	And I'm like, well, what do you want to write a book about?
	Well, I want to write a book about, you know, how to how to grow, I don't know, almond trees or something.
	And well, just type it in.
	I want a book about growing almond trees.
	And they're like, that's it.
	That's, that's all you have to do.
	Yeah.
	Type it in.
	See what happens.
	You know, if you don't like it, you can do another one.
	So then they type it in and they click, go, oh, wow.
	So I didn't have to just stop here.
	You know, so that's a very common reaction, but I think that's true with all AI interfaces.
	What are you seeing, Aaron?
	Yeah, I mean, I think that that's definitely the case.
	I mean, there are some times where you want to be very explicit and then sometimes where it's an iterative process.
	I actually find one of the ways that I go through prompting or even figure this out is, again, I'll put together this advisory board and then I'll tell the advisory board, I'm like, okay, we're going to try to put together an output.
	Our output is going to be a plan or it's going to be a markdown file that does this, whatever it happens to be.
	But what I say is, look, you know, this is what the end goal is going to be, but why don't you ask me a series of questions one by one and then give me a multiple choice selection, including your considered recommendation.
	But then, of course, there's also the ability for me to provide input.
	And so this kind of dialogue, this series of questions, which can go on for a long period of time, because for me, it's okay, I want, I generally know what I want to do, but it's kind of like you said on the almond tree.
	Well, the person that wants to write a book about an almond tree probably does know if they went through this kind of Socratic process or whatever, they do have something that they intend to communicate that's more specific than just about an almond tree, but they might need help figuring out how to get there, figuring out how to frame it.
	And so I always find that is a great way to go about doing it because it takes the daunting part out of it.
	You can break your thinking into steps.
	And then if you know you have gaps in certain areas, you can actually have guidance.
	You can actually, you can say, well, I know this person knows more about this or whatever.
	Let's see what they recommend.
	And then it'll actually expand your thinking.
	And then at the end of this iterative process, you end up with, in this case, a planning document.
	It's not necessarily a prompt.
	But for me, if I'm prompting, I've been doing a lot of music videos lately.
	I've created a multi-agent system to go through this, which is an interesting process because you have, for instance, if you're taking a song, as you know, and I will play The Great Divergence, by the way, at the beginning of this episode.
	So I don't need to do it now because I know we have limited time, and I definitely am going to highlight that.
	But you write this song and you have lyrics and everything else.
	And so then when you're these video models typically only generate five to maybe 15 seconds of video at a time.
	So if you're putting together a full video, you have to string a bunch of smaller clips together.
	And if you have music lyrics, sometimes a music lyric segment might be five seconds, sometimes it's 15 seconds.
	And so which model you even choose, there's a whole kind of whole series of variables that go into that selection.
	Now, of course, you can work with the AI to develop agents and a process for figuring that out and to make the overall visual look more coherent.
	But this is an example of when I'm doing prompting, kind of like I said with your book, I'm like, well, you know, Mike knows how his AI works.
	He's put together a prompting guide.
	I don't have to guess.
	Why don't I just take his prompting guide and put it in there and then say, I want to optimize.
	This is what I'm trying to say.
	I've said all this stuff on these podcasts for 250 hours, structure what I've said in the way that Mike has put together a prompting guide for how his system works, right?
	And so actually it gets to the point.
	And this is recent that where it's, and it's taken getting the environment set up, getting all of my data into the system, setting up Claude so that it can just know which tool to call to go to this database versus this database.
	But now I can write entire outlines.
	I can create an entire podcast.
	I actually created a podcast.
	I guess two podcasts ago.
	I don't know if the audience knows it or not.
	It was AI generated.
	It was my voice.
	I put the outline together and then I used 11 labs and it actually played the audio of my voice, but it took a long time to get there.
	And this is, so this is part of the training, but always keeping in mind, hey, ask, figure out what the model is.
	If there's a new image model out, different image models, different video models, all of these models work in their own unique way.
	Just ask.
	Ask the LLM. to ingest how that works and to optimize it based on how it works.
	You don't have to guess or get overly complicated with it.
	But again, this is what a planning part is key.
	You're working with the advantage of the fact that you have hundreds of hours of yourself doing podcasts and interviews.
	And by the way, for the audience, you were kind enough to give me transcripts of all of your podcasts.
	Those have also been ingested into our system.
	So you are quoted and cited in books that are created or in the AI AnswersNow at brightanswers.ai.
	That can reference you as well, as well as all the interviews that I've ever done, you know, thousand plus interviews or whatever it is.
	So you and I and other people who have a lot of spoken word context or a lot of written word context, they've already gone through the process of expressing their neurology, which is really kind of an inference dump of biological neurology, right?
	You and I have done a lot of inference dumps.
	And thus, then we can feed that context into the engines and it will talk like us or it will write like us or it will think like us.
	So I would just encourage those of you watching, whatever you have produced, whether it's articles or podcasts or interviews or anything like that, even if it's private, hold on to all of that because that defines your cognitive formatting and processing.
	And that can be put into an engine as context.
	For example, if you're going to write a book on our book engine, you can actually put in the prompt after you describe, I want a book about almond trees.
	You can even say, and I want you to write about it in the following style.
	And you can paste in like 10 of your own speeches, you know?
	And then the engine will say, oh, this is an example.
	So now you've got examples to go with and it's going to write the whole book like that.
	I mean, that's how smart it is.
	And so hold on to everything that you're doing for that very reason.
	And also, Aaron, about the video creation, I love what you've done with the music videos.
	And I'm very curious about that agentic system.
	I'm waiting for the engines to get better, maybe even cling to do longer durations, because our book engine is going to, sometime, I believe this calendar year, we're going to start producing three minute or four minute mini documentary videos based on the books.
	And that's going to be fully automated, but we're not there yet, right?
	It's just, I can't, I don't get the quality out that I need.
	I can put in an architectural planner that writes the screenplay, no problem.
	But then being able to render and assemble all the video segments five or 10 seconds at a time in a way that's error-free and doesn't have weird artifacts, it's just not there yet, but I think it's coming soon.
	But that's where we're going is short form video creation that's automated.
	Yeah, it's not there yet.
	So every time, and this is what I tell everybody, everything that I do is a work in progress.
	So each video keeps getting better.
	So each video is an opportunity to test a new model, test a new way of trying to stitch the things together.
	So they're not perfect, but in part, I put them out there because, you know, look, I just want people to look at what the first music video looked like at the end of last year versus when we're having this conversation a year from now.
	Oh, yeah.
	You'll see it's stunning.
	And, you know, they show those videos clips of Will Smith eating spaghetti.
	I mean, this is a common thing.
	That was one of the first AI video clips.
	They show the first one and it's ridiculous.
	It doesn't look like him.
	And the gestures are distorted.
	You know, the pasta's everywhere.
	And now it looks absolutely lifelike.
	It's hard to actually tell the difference.
	And so as I'm doing this, it's kind of like, oh, I'm learning.
	All right.
	Well, if you're going to try, if you want to, if you're doing a video and it's just kind of an abstract thing where you don't have to have consistency with the characters, that's much easier.
	Once you get into the realm of, okay, you want one character to be part of the narrative throughout the whole video, now you're adding all kinds of layers of complication to it and working with the different models.
	But every time I do a video, I'm like, okay, I want to at least push one new concept, either one new model or try one new thing.
	And this is where I said it's cumulative.
	It adds up where it's like, okay, I've had some frustrating experiences.
	I've had some frustrating experience with this latest video.
	It's an own-nothing anthem where I spent all this time on it and then I had it merge two clips and somehow it deleted half of the segments.
	And even though I told it to back it up, I mean, so there are some frustrations along the way, but over time, eventually, it'll be a pristine and smooth process.
	And so I enjoy the kind of the trial and error of it.
	Well, it took me weeks to get the PDF writing tools to work correctly in the book creation to where it wouldn't overlay text on top of other text.
	Like you would think that's a very basic thing.
	Like, don't put two sentences in the same place on the page.
	But actually, that's really hard for AI to figure out how to do.
	And I ran into an issue.
	I had to upgrade the database for the whole book creation engine, which means I had to go through and I had to modify or have AI modify like 350 routines that were calling for database reads and writes, whatever.
	And I asked the AI agents to do a comprehensive multi-agent spawning to go through meticulously replace everything with the new database connection string because the old database was cratering.
	It just couldn't handle the load.
	Even at scale, it couldn't handle the load.
	There's something wrong with that service.
	But anyway, the AI agents actually did a horrible job at this.
	They would fix like 90%, but not this other 10%.
	And then when I would discover these other ones that are missing and I would ask it about it, the AI agent would say, oh, you wanted all of them changed over.
	Yes, that's what all means is, oh, well, I'm sorry.
	You know how it apologizes.
	I'm sorry, I missed that one.
	Let's do that one.
	And so it took, I mean, our service was actually down for 20 hours while I was doing this migration to a new database.
	But fortunately, the new database is working great.
	Yeah, I've had database experiences as well.
	And again, this is part of the process, but I have no doubt that 30 days from now or 60 days from now, whatever the next clawed model or whatever the next innovative model is, that will no longer even be a thing you have to worry about anymore.
	I hope so.
	Well, part of it is that it doesn't have the context of like the memory is too short of clawed right now.
	In my opinion, you know how it compresses the conversation, everything.
	It just needs a much longer memory, which just means much more context, but the context has to stay relevant.
	Even if you start pushing, you know, 128K or whatever tokens, you know how a lot of models function, then they start to kind of forget the earlier parts of that.
	That's going to get solved, I believe, this year.
	And when it does, it will change everything.
	Yeah, that will change everything.
	And I actually experienced some frustration this morning where it does, it condenses and it tries to summarize, but it actually summarized and didn't start at the end.
	It actually went in the middle.
	And so it started solving a problem it had already solved and wasn't working at the end of that.
	I'd never experienced that before, but it was very problematic, actually.
	So I had to kind of refresh the whole context window.
	But in any event, there's a lot of, you know, again, a lot of trials, but the way this is going, I mean, what you've done with these books is, do you want to go into more detail and demo the bright answers in more detail?
	Oh, yeah, sure.
	So let me show my screen, brightanswers.ai.
	And let's just hope it's all online right now.
	What kind of question do you want me to ask it, Aaron?
	I mean, you know, it's got a ton of knowledge on botany and phytochemistry, but also physics and fusion and metallurgy and soils and things like that.
	But what would be a good question?
	Well, you know, a question that I had that I thought was interesting is, what is the impact of the U.S. invasion of Venezuela on technocracy in terms of CBDCs, digital IDs, and AI surveillance?
	Okay.
	Hold on.
	What is the impact of the U.S. invasion of Venezuela, which just took place?
	I'm going to add that in.
	And the takeover of mining and oil exports.
	Oops.
	Exports.
	In the context of technocracy.
	What else did you say?
	Technocracy, and I would, I mean, what I would put in parentheses, you know, digital IDs, CBDCs, social credit scores, AI surveillance.
	Okay.
	Really?
	I'm not.
	Okay.
	This is going to be interesting because some of these connections might be difficult to connect the dots on this, but let's see what the engine does.
	So where this engine is really, really strong is on published knowledge spanning back decades, like anything on chemistry, anything on neurology, anything on cognition.
	I already mentioned metallurgy, et cetera.
	So anyway, here it is.
	It's generating the answer.
	So the U.S. invasion and subsequent takeover of Venezuela's mining and oil exports must be analyzed within the broader framework of technocracy.
	It says, now, what I want to mention as it's formulating this answer is you see these citations here, like A1, B4, et cetera.
	S4.
	So S is science paper, B is book, and A is article.
	And all of these references are going to be listed at the bottom of this answer.
	I also want your audience to notice that this is a much slower output than before because this is using a lot more internal tokens for the thinking.
	And it's using an internal verification technique so that when it comes up with a paragraph, it goes back and it checks the paragraph itself to make sure that it's not using internal knowledge.
	Okay, hold on a sec.
	Let me scroll back up here.
	So it's also recommending books that are related.
	So here's your book, Aaron.
	Boom, The Technocratic Cage, how CBDCs, et cetera, and how to escape before the door closes.
	So that's your book.
	That's highly relevant.
	Here's Jeep Revival.
	That's interesting.
	Shadows of Power.
	These are books from the Bright Learn book engine.
	And then it lists all the references that it used here.
	So these are all the science papers that it found to be relevant.
	Like, for example, long-term relationships among all production oil price, major macroeconomic variables.
	By the way, what you're seeing here with these so-called typos, these are OCR errors of a very bad science paper from 1996 with a bad scan.
	And I even have a note here that says you're going to see some OCR errors in this because they can't all be corrected.
	But here's like the new politics of food from November 1980, you know?
	So this goes way back.
	And then the books, here's nine books, Russophobia, Propaganda in International Politics by Glenn Deason.
	Yeah, we know Glenn Deason.
	Catherine Austin Fitz, the Solari Report, Visions of Freedom.
	So yeah, we've got a bunch of books here.
	Here's Julian Assange, The WikiLeaks Files, The World According to U.S. Empire, right?
	And then articles.
	Most of these are natural news articles, but we also have articles from Mercola.
	We've got your transcripts.
	We've got lots of other websites in here.
	And then it summarizes it, and then it gives you the keywords, U.S. invasion, Venezuela mining, oil, et cetera.
	And then here's that link where you can click here to auto-submit your summary to the Bright Learn book engine.
	And it puts this in right here.
	So at that point, all you have to do, you put in your email address, and then you click submit, and then it's going to go ahead and generate the book on that topic that you just researched.
	And that book generation will use mostly the same sources that you saw here.
	So that's essentially how it works.
	Now, the quality of the answer, you can go through and you can judge this.
	Venezuela's alliance with Russia and China has allowed it to bypass U.S. sanctions, et cetera.
	It talks about BRICS and the goldback system, you know, and then the U.S. response reveals desperation as the global financial system fractures.
	You know, it goes on and on.
	But it says it's a phase in the transition to a technocratic global order.
	So there you go.
	That's kind of a demonstration of two engines there and how it works.
	It's slow, but it's thorough.
	It's got a lot of research and it does its own internal fact checking.
	Oh, and I want to mention, Aaron, you'll notice that this engine, this answer, it does not cite anything from its internal knowledge.
	So it's not telling you, it's not hallucinating some book title or some science paper name or anything.
	None of that is in this.
	It's specifically instructed to only use the external knowledge that's indexed.
	So, and it's so far it's doing a good job.
	And that's incredible.
	That's a very important point.
	I saw something in my feed today about the percentage of time I think ChatGPT hallucinates and that just by changing a prompt and have it say according to, have it actually reference, but making that adjustment to the prompt is actually an important thing.
	But I've actually, the amount of garbage and hallucination.
	And I mean, if you ask it, oh, was so-and-so involved in this lawsuit?
	It'll give you, it'll spit back an answer that says they were involved in the lawsuit, even though they had nothing to do with the documents.
	I actually just saw somebody post something about that.
	This is critical what's going on with this.
	So actually watching it generate is kind of fun, fun in its own right.
	And then watching it spit out the references.
	I was really impressed when I saw that today about just the depth and the quality of sources and the number of sources.
	And those numbers are about to massively increase, like I said earlier.
	But again, I want to speak to the slowness of this output is because it's burning a lot of tokens internally to do a lot of checking of its own writing before it pushes it to the output.
	So, you know, it's checking to make sure that it's incorporating the context of the sources.
	It's checking to make sure that it has a diversity of sources.
	And it's also checking to make sure that it never cites its own internal knowledge.
	Because as we know, the internal knowledge of an LLM is a mishmash of facts that became hallucinations and all got blended together.
	But what I use the base AI capabilities for is composition, composition and thinking about the research, not to know things.
	And that's a really critical distinction.
	I don't want an AI engine to know lots of things about who's this author, what's that paper, what's this movie.
	I mean, sure, they can, but I don't rely on it for that.
	I don't trust any of that.
	I only trust external curated knowledge, and I need the engine to think about these things.
	So I need a reasoning, thinking, critical, self-correcting engine.
	And that's what exists now.
	So there you go.
	Yep, that's phenomenal.
	So the pushback that I get from some people is that they somehow feel like it's cheating or that somehow I'm trying to express.
	I mean, I've seen this with different groups of people.
	Even, you know, my own kids have expressed this.
	But you mentioned something earlier about how really it's the planning phase of this.
	This is where the inspiration comes from.
	Not the, you know, I'm physically typing something or I'm gathering research.
	You know, it's kind of like, okay, it's somebody saying, well, you know, using the internet is cheating.
	You know, I know how the Dewey Decimal system works.
	And so I know how to navigate a library.
	It's not that you're cheating.
	It actually just you're figuring out and you're able to express the thing that is uniquely human about you and not waste your time doing the administrative stuff of pushing around information or pushing around words.
	And that concept needs to get out there because there are some people that really feel like somehow, well, this is lessening their humanity, but it's not.
	It's actually, it's powering them up in a really significant way.
	Well, let me ask you, Aaron, in your own experience, have you had to think more or less since using AI?
	I have to think more and then I spend a lot of time thinking about even how to think.
	And then are there better ways to do that?
	Because I've kind of gone from spending maybe the last quarter of the year saying, how do I clone myself? to then now, how do I actually not just clone myself, but it's more, how do I even improve what it is that I would be cloning?
	Right.
	So it dramatically improves my thinking.
	And again, this is a question of how you use it.
	If you're passively using ChatGPT, putting in a poorly structured response, hoping that what it hallucinates back is the right answer, you're going to have a bad time.
	But if you're actually active in your process of using this, it really is mind-blowing in terms of how it challenges you and changes your perspective on the world.
	I say AI is a cognitive mirror and a multiplier.
	So you look in the mirror.
	AI makes smart people smarter.
	It makes dumb people dumber.
	It just depends on how you use it.
	And then there are people who still think it's a hoax.
	Like they think that every AI answer is actually written by, you know, really fast typing workers in India somewhere.
	Like it's all a hoax.
	There are people who still think that.
	I don't know what to say, but that's proof that human cognition is overrated right there.
	So, you know, I mean, my goodness, look, the only way humanity has ever advanced is by grasping new technologies and tools, whether it was electricity or the combustion engine or the internet or, you know, high-level mathematics, et cetera.
	The invention of electric motors.
	I mean, if you're going to reject AI, I guess you need to go back to the 19th century and just reject all of it.
	You know, electricity is bad.
	You know, there's demons in them electrons, you know, or whatever people say.
	I don't get it.
	And they are saying that.
	And there are a lot.
	And there are people that I know that are otherwise fairly smart and forward thinking, but that have a blind spot, big blind spot on AI.
	And that has continued.
	And that has not lessened.
	And so this kind of leads into the next kind of branch.
	So I'm going to play the Great Divergence song and music video that you put together based on Peter Gabriel.
	In fact, if you want to, I'll play it.
	I'll insert it here.
	But do you want to describe?
	Because that was another process that you went through to figure out how to get the music to sound like Peter Gabriel's.
	If you want to talk about that.
	Yeah, sure.
	And just a reminder of the timing here.
	But I set out a mission.
	This is during the New Year's holiday.
	I wanted to create a song that had vocals that sounded just like Peter Gabriel as much as I could and a musical style that I thought was similar to Peter Gabriel without using the name Peter Gabriel in any of the prompting.
	And I don't even think that's allowed.
	Of course, I use Suno and I went through many, many iterations.
	I had to describe characteristics of Peter's voice.
	I had to describe, I mean, in great detail, actually.
	And also details of the music and the melodic bass guitar usage and, you know, African wind instruments, you know, sort of world percussion world music and choir vocals, et cetera.
	You know, the lyrics were easy to come up with.
	That wasn't difficult.
	The hard part was getting it to sound like Peter.
	And I think you said that it was about a 90% match.
	And you might be even a little generous with that.
	Maybe it's an 80% match.
	It matches really well at the beginning and the end.
	The ending is fantastic.
	In the middle with the choruses and so on, there's really a lot of drift, vocal quality drift, and it doesn't capture Peter Gabriel's high range, which is so unique anyway.
	But it was an experiment.
	And I did that experiment and put it out publicly with a discussion about how content creators, famous singers, famous actors can work with AI companies to protect their likeness while also controlling, being able to control the usage of their voice or their face, etc.
	So I did it as a demonstration.
	And it shows that it's pretty good right now.
	And imagine if the actual artist, Peter Gabriel, imagine if he intentionally gave someone like me permission to use his voice and all his voice files.
	Imagine what I could do with that.
	Then the sky is the limit.
	But this was just me attempting to do it without any of that and without his voice at all.
	I didn't sample any of his songs or music or anything for this.
	This was created from scratch with nothing but prompting.
	And your audience can decide whether they like it or not.
	It was fun.
	I thought it was great.
	And then I actually started listening to Peter Gabriel.
	I mean, I've been a big Peter Gabriel fan, but I haven't listened to his recent stuff.
	So I guess if you say, does it sound like Peter Gabriel?
	Well, Peter Gabriel sounds a lot different today than he did 40 years ago.
	So you got to pick a time.
	But I thought it was great.
	And I'll play it.
	But I wanted this to lead into the theme of the song, which is the great divergence, because I think we have a similar view on this as well, which is I think this is the year where we're going to have a two-tiered society.
	It's not going to be beyond that.
	The rate of acceleration of AI is breathtaking.
	It's not slowing down.
	There are no bottlenecks.
	If anything, it's accelerating.
	Yeah, the message is about that, the divergence between people who embrace and use AI and those who fall behind because they don't.
	If you want to do anything in our world from this point forward, if you're not using AI to help you do it and amplify your mission, then you're going to fall behind.
	That's where we are.
	You're right, Aaron.
	So, you know, I'm hoping people are breaking through on this.
	It's hard to say.
	It's hard to tell.
	I still get a lot of people that are like, well, I still haven't tried it.
	They're still hesitant to even use it or figure out where to start.
	Oh, yeah.
	Yeah.
	There are people that are.
	I mean, obviously the overall numbers are growing, but there are some people that are just hesitant to even start.
	And by the way, this is the same with crypto.
	This is the same with everything, right?
	There are a lot of people that will sit around and spend a lot of time talking about something or worrying about something.
	But that would be like living in the year 2010 and saying, I've never tried the internet.
	It is based on how fast AI is going, right?
	Yeah.
	What was the movie Interstellar or whichever one it was, where it's like, you know, one second here is seven years on Earth, whatever that analogy is.
	That's kind of how AI is.
	And so they're getting people to start.
	I mean, I always encourage people to download.
	Well, I wanted to say this to you.
	So with the bright answers, you mentioned you're going to be updating what was the Enoch AI.
	Is that, can you talk a little bit about that?
	Are you talking about the downloadable engine?
	The downloadable engine, yeah.
	Yeah, that's paused.
	We are going to upgrade the engine eventually, but that's paused until we get better training tools.
	There are some really good training tools that have come out since we did it the hard way.
	For example, obliteration tools to well, selective obliteration to memory wipe the base models and make them much better.
	Basically, uncensoring type of tools as well.
	I'm still waiting for a breakthrough in ease of use.
	And also, Unsloth is doing some great things right now with the efficiency of training.
	They just released a new iteration that I think gives a 3x improvement.
	But I need much more hardware.
	I need the NVIDIA, what are they called?
	The Spark stations that are coming out.
	I need like 784 gigs of video RAM and much more capable processors to put in the full data set that we now have.
	So it's on the back burner until we get more hardware.
	That hardware has been delayed.
	It was supposed to ship last month, but everything from NVIDIA is late.
	Understandably, not blaming them.
	That's just the world.
	But I'm going to get a Spark station and then use that for training.
	It could be a few months away.
	No, that makes sense.
	Yeah, definitely.
	The demand is huge.
	Have you done much with?
	I actually did a little experiment with my podcast where I went through and actually kind of trained it on what's in the videos, not just the captions of the videos, but got a little bit into VLM and that kind of thing.
	Have you done much with that?
	I haven't done that yet, but I know we will as we start doing more video creation.
	Excellent.
	By the way, we're just talking about video.
	So you can go to the aaron dayshow.com and you can actually search my podcasts.
	And it's not just looking at the captions.
	It actually went through and looks at the frames of the video.
	And so you can say, oh, which episodes was Aaron wearing red glasses?
	Which episodes was Aaron sitting next to his wife?
	And so I started doing that as just kind of, you know, a small data set of my own.
	But that's actually one of the ways I've been able to push the NVIDIA DGX, which has been, you know, still not caught up on the driver front.
	So it's kind of frustrating to use.
	I don't know if you've experienced that as well.
	I'm kind of waiting for that.
	I thought the spark was going to be faster than it is.
	And I thought the environment would be more stable.
	But I do want to mention that Unsloth just put out a downloadable environment that's got all the right PyTorch and CUDA drivers in place.
	So that's worth looking into.
	And when I attempt training next, I'm going to use that.
	Yeah, that's huge because that is a big, big stumbling block and a big issue.
	You can waste days trying to get all the right drivers to coexist, even in a Linux environment.
	Yeah.
	Yes, you can.
	Yeah, I know.
	I'm right there with you.
	I'm like, oh my God, please, somebody just stabilize this stuff.
	Yeah.
	But I'm looking forward.
	I'm going to do more of that, more experimentation with, I think, indexing videos because the ability to go in and say, you know, I mean, again, my podcast, I don't have a lot of content.
	It's like, well, what was that episode where he showed a, you know, a debit card on the screen and a DoConomy UN branded debit card.
	And so now it actually pulls that up.
	So that was my experiment with that.
	I'm going to be doing more with that.
	And I think with the technocracy atlas.
	And it would be good to be able to say, hey, when exactly did Klaus Schwab say, you know, you will own nothing and be happy and then have the video clip pop up.
	Absolutely.
	Actually have it pull up not just the video where these things happen, but when was Aaron wearing red glasses?
	And it'll actually take you to the clip where you can most prominently see where I'm wearing red glasses.
	Well, automatic video clipping of high interest areas of people's videos.
	I mean, that's going to be a thing.
	A lot of clips do really well going viral on X and other platforms.
	So I think that's an area.
	I have a question for you about the videos.
	What do you make of the so-called Asian guy videos that are viral on YouTube where he's talking about silver?
	And everybody knows it's AI, but the explanations are very compelling about what's happening in China, what's happening in the LBMA, et cetera.
	And this so-called Asian guy who's on multiple channels, yeah, he's AI, but I mean, some people don't know he's AI, but his channel is becoming more popular than a lot of human channels on the same topic.
	Isn't this kind of the beginning of AI avatars taking over sites like YouTube or platforms?
	Yeah, I haven't seen those, to be honest.
	So I will check that out.
	But I definitely think that that is, in fact, I think we probably don't even know how much of what we see is already AI.
	That's my guess.
	I think we have no idea.
	But when I look at the different models now for avatar creation, you know, I did I did the podcast that I mentioned with my voice with 11 labs, which it's still, you know, I needed to tweak the script and everything else.
	You can figure it out if you listen.
	My wife detected it right away, but I'm sure there's some people that didn't detect it.
	But I look at it this way, you know, and some people will say, again, back to this cheating example, I'm like, well, you know, if I'm going to be delivering my content, do we want it during when I'm sick, when I'm coughing, or when I, you know, when I've had a bad day or I have low energy, or do you want to project the best version of yourself?
	So again, this concept of training your own AI.
	Now, in this case, I don't know if this Asian guy is a clone or if it's literally just a completely fabricated avatar, but I think that you're definitely going to see more of this.
	In fact, we may already be seeing more than we could possibly imagine, but it makes sense, right?
	It does make sense to be able to clone.
	Now, I've seen these things on my feed, and I haven't gotten into this realm where people are putting together these pipelines where they're generating, you know, hundreds of TikTok videos at a time and then running them on different channels and then doing A-B testing and seeing which one works and then focusing their efforts on the one that works.
	And so there are people that are mass producing clips for Instagram and for advertising purposes.
	And so I wouldn't be surprised if over half of Instagram is AI and people don't know.
	Because if you look at the Sora model or Cling or some of the other ones now, and I use Higgsfield a lot to experiment with the different video models.
	Yeah, they have it too.
	They have an API, but I don't think a lot of people know they have an API.
	No, I thought they didn't have an API, actually.
	So they do.
	And I don't know if I just stumbled.
	It's cloud.higsfield.ai.
	So this is what I use primarily.
	So when I'm doing this, when I'm doing these music videos, I'm now trying to figure out how to call the API because they don't publish good material.
	But it exists.
	So you just have to guess that it's like open AI compatible and everything or what?
	Yeah, you got to play around with it a bit and then make sure you, that's created a lot of issues with references and everything else.
	But my point is they have a lot of studio, they have a lot of tools there that are designed for using a reference image and making a character that is consistent throughout time and in different environments.
	And so I think the future of, I think we're already there and probably don't even realize how much we are already in the AI avatars.
	And I like Higgsfield because it's kind of like Higgsfield is to image and video creation what Open Router is also for text LLMs.
	It's kind of like a routing engine the way I see it with a common API.
	And Open Router has been really great.
	Did you know, by the way, that you can append slugs to the model names on Open Router, such as Nitro, to always choose the fastest model?
	I did not know that.
	Yeah.
	You can put Nitro on it, and you can also put a slug called Extended to give you extended context windows.
	So you know how some open source models will be run by certain inference providers at maybe 32K context, but others will run the same model with 128K.
	Well, you need to slap Extended on there to get the longer context if that's what you want to do.
	But I wanted to follow up.
	I was searching for this while you were talking.
	This is actually a big deal.
	It's the unsloth Docker image is what I was referring to.
	And this Unsloth Docker image now supports the 50 series GPUs, which is the, I think that's the Blackwell architecture now, right?
	And the 50 series, such as the RDX, the 5090 cards, which I've been buying a lot of, and now their price has suddenly skyrocketed.
	They're all going to go to $5,000 next month, we're being told, which is insane because I was buying them for $2,400.
	But initially, when I got those cards, nothing was compatible with them.
	That's the same problem with the Spark that you were talking about.
	So, you know, NVIDIA will push out hardware very often that has no support in the developer community.
	And then it's a catch-up game to try to make that work.
	Anyway, Unsloth has put out a Docker image that looks comprehensive.
	And that's what I'm going to be using next as soon as I get bigger hardware.
	I need a lot more RAM for this.
	Because what I want to do, actually, I want to train my own version of DeepSeek 3.2.
	So it's a massive model.
	It's going to take a lot of memory.
	It's going to be slow.
	But I've got this massive data set.
	So, I mean, I need to throw so much compute at this to do anything in under 12 months.
	You know, I can't wait 12 months for a new model to spit out and then find out that I broke its language.
	Like, it's not speaking any language now.
	I've had that happen before.
	So anyway, there you go.
	Docker, Unsloth Docker.
	I will definitely check that out.
	So what are your predictions for 2026 for AI?
	Oh, man.
	Oh, I don't know.
	Well, let's start with the obvious ones.
	Number one, AI inference, there are two forces that are competing.
	You're going to have much greater efficiencies because of things like sparse attention and also that new science paper from DeepSeek.
	But you're going to have massively increased costs due to rising costs of electricity and of the commodities that go into making the GPUs, such as copper, aluminum, even silver, obviously, which is skyrocketing today.
	Last time I checked, it was $81.
	I have no idea where it is now.
	But, you know, this is why NVIDIA announced it's going to double prices on a lot of its cards.
	So now the prices that we've been paying for inference, they've been on a downward trajectory in terms of cost per token or cost per compute.
	That might actually stall for a while because of the other costs I just mentioned, which means we should be really happy with what we have right now.
	Be grateful for the compute we have now because now we're about to go into an era of compute scarcity, compute scarcity.
	And China is going to be able to dominate this because it will be able to offer inference services on its open source models like DeepSeek and Quen using the much lower cost of electricity in China compared to the U.S. and compared to Europe.
	In addition, and you know this, China is now innovating its UV lithography equipment to bypass all the sanctions on UV lithography.
	And it's still a couple of years out, but they just demonstrated very high-end, I think, two nanometer or three nanometer capabilities with UV lithography, which means China's going to be able to produce its own microchips that will rival eventually what Taiwan Semiconductor is doing.
	Now, it's not going to be overnight.
	That's like a 10-year project.
	But China's not sitting around.
	They got a lot of smart engineers.
	They're going to nail this thing and the sanctions will stop working.
	That's why China's going to win this race currently is what it looks like to me.
	Yeah, those are all great, great points.
	So what do you think is going to happen in the U.S.?
	What do you think about the approach that the U.S. has been taking from a political perspective regarding AI?
	Well, I think what Trump is pushing is centralized AI through a few chosen selected tech companies.
	And I mean, we know who they are.
	It's all the people he invites to the White House dinners, et cetera.
	Trump is not an advocate of open source, decentralized AI, but open source will still win in the end, although it won't be U.S. open source.
	It's going to be China open source again.
	I mean, I'm sorry to keep talking about China, but I mean, look at the fact all the U.S. AI tech companies stopped publishing science papers in the last year, right?
	They don't want to put out any science papers.
	So all the best science is coming out of China.
	All their names are Chinese names.
	All the conversations are in Mandarin.
	I mean, this is the way it's going to continue.
	Now, if I'm a corporation and I need to automate some internal process like customer service, am I going to pay ChatGPT some premium amount or Google some premium, you know, per token cost to use their model and try to put a rag layer on it of my customer service emails?
	Or am I going to just freaking download Quinn and just run it on a local server for free, for free, and train that?
	Yeah, I'm going to choose Quinn or I'm going to choose DeepSeek or I'm going to choose whatever else is coming.
	Alibaba models coming out of China.
	That's what you're going to do.
	And that's what corporations are doing.
	And so China is going to be setting the standard in these models.
	And U.S. tech companies are going to end up just becoming like military contractors.
	They're not going to be leading the space for consumers and corporations, really.
	That's where it's going.
	I mean, Google might be an exception because they have so many brilliant people there, but Google's no angel.
	They use AI for weaponization, for surveillance.
	They have a long track record of censorship and rigging elections, the whole deal.
	Google's evil.
	That's not going to change.
	No, that's not going to change.
	The only thing, and again, even saying US versus China, these are obviously multinational corporations.
	They're technocratic corporations anyway.
	So even the distinction is not even that important.
	Um, I've been impressed with Anthropic at, you know, I, I don't know if now I haven't tried, what is it?
	GLM 4.7.
	I've been meaning to try this.
	I guess it's the coding model that is supposed to be almost up to Claude standards.
	I guess that's their nearest rival.
	I haven't clawed been so easy to use that I just haven't bothered to switch.
	But I do want to experiment with it because that's the one area that I see a gain here.
	But it'll be interesting to see what happens with X AI this year with version 5 when that comes out.
	Yeah, well, I really don't think, like Grok, for example, it still fails on so many important questions, questions about medicine and jabs and money and freedom and things like that.
	Clearly, Grok inherited all the biases of the base models that originally started with Lama and Meta.
	And if you don't make an effort to pull those out of the models through obliteration or other techniques, then you're going to end up with models that are just pushing a globalist narrative.
	And that's, see, that's the way this is going to go.
	So even, you know, think about refusals and guardrails from mainstream models.
	They're becoming more locked down.
	The chat GPT will no longer give you any kind of decent medical answer any longer, for example.
	That's all by design.
	But that's forcing people and companies like mine to go for base models that are outside the US.
	You know, the U.S. tech ecosystem is CIA controlled.
	And as a result, you're never going to get good quality models that are capable of doing things rooted in truth and transparency out of the United States.
	It's just not happening.
	Frankly, even France is doing a better job with Meestral, which is less censored than the U.S. models, which is hilarious because the EU is a very pro-censorship kind of place.
	But Meestral has sort of been able to do an end run around that censorship, and their models are actually very good.
	And there's an open source version of Meestral Small that's quite good.
	But China is the leader in this space.
	And even though they still have censorship in their public facing, like if you go to chat.deepseek.com, you're going to get more guardrails and censorship there.
	A lot of those guardrails vanish through the API.
	So, you know, you do API access and you really have a different engine.
	And I do not get refusals from DeepSeek.
	When I'm doing book normalization cleaning of books, even very controversial type of subjects, I don't get refusals from DeepSeek.
	So, what engine am I going to use?
	I'm going to use the engine that doesn't refuse my prompts when I'm trying to freaking clean OCR errors in books that talk about vaccines or whatever.
	And that's China.
	I mean, think about it.
	I think it's important for people to understand that that is actually true.
	And, but, you know, I've talked about this.
	The U.S., we do not, I think, what are we ranked?
	We're 30th or something in free speech.
	I actually one report was worth ranked 55th in terms of freedom of speech.
	We are not even top tier.
	So we still have this idea that, oh, we have the, you know, First Amendment and everything else.
	And that's practically not what's going on.
	I have the same experience.
	I use DeepSeek as well.
	I've been using DeepSeek for my chatbots, and which are becoming, I'm focusing a lot of time on customizing the chatbots and trying to create customizable user experiences.
	And so I have, by the end of this month, I'll have all six of my sites finally, you know, fully production ready.
	But I've been working a lot on the medical tourism marketplace, which is which has really expanded from kind of a directory of different locations to where you can go in and interact with the chatbot and you just ask it, okay, I need a hip replacement.
	And it's pulling from the database that I've compiled, but it actually walks you through the journey and you can save your journey.
	Okay, I'm going to compare these destinations.
	And there's a way for you to track your due diligence as you're going through that process or go through creating a medical trust.
	It'll walk you through the laws in all of the states and it'll point you to different tools and online resources where you can create your own trust.
	And so increasingly, I've been spending a lot of time figuring out, it is, I think you mentioned this earlier, and I'm not a fan of his, but I think Larry Ellison is right in the sense that a lot of the value here moving forward is going to be in private data, the application of these language models to private data.
	That's kind of the, because anybody can, you can download, you can go to various tour sites or whatever, you can get access to a lot of public material.
	Some of it's illegal.
	You can get copyrighted material.
	You can get magazines, newspapers, and everything else.
	But being able to take your own data and take these private data sets and then put an LLM on top of that.
	But if you're going to use an LLM, as you said, or you can use ChatGPT, I can't use some of these things on my own data.
	I have to use.
	It is a true story.
	If you're talking about technoxy, you're talking about vaccines, and you want to be able to access and structure that data, you have to use a Chinese model, or otherwise you're going to get back censorship and garbage results.
	This is a fact, and it's something that people need to recognize is already happening.
	It's not going to happen in the future.
	The censorship of these models is already here.
	Well, yeah.
	I mean, even Anthropic has guardrails and will refuse to answer certain prompts.
	Of course, there's all kinds of jailbreak techniques that are effective to use, but it's a pain to research and test and figure out which jailbreak is going to work correctly.
	Oh, I have to write poetry in the middle of my prompt to make this thing loosen up, which actually does work for most models.
	That's interesting because it kind of fires off the right neurons, I guess, in silicon to open up the doors.
	But this is going to be the battle space is people want to solve problems, like you said with medical tourism.
	People want to solve problems with their health.
	They want access to knowledge about what are the root causes of the symptoms I'm experiencing and what are the solutions that don't cost me a fortune because the conventional medical system is completely unaffordable, largely incompetent, ineffective, and usually just makes people worse.
	So how can I solve this health concern naturally with my own responsibility without a visit to the doctor and a prescription and a pharmacy or whatever?
	How do I do that?
	Well, that knowledge will never be made available to you through the mainstream US tech engines.
	It's available through our engines for all the obvious reasons because, again, we have a data set that has been used to modify the base engines and also use, of course, as a research rag layer on top of everything else.
	But as far as I know, we're the only ones that have bothered to do that.
	Like I've seen other engines out there, you know, like freedom engines or truth engines or whatever, it just looks like a customized system prompt to me.
	I don't think it's anything more than just a system prompt.
	But to actually collect all this data and bring it in and bring in, you know, the knowledge of 100,000 authors or a million scientists and aggregate that knowledge and bring it into your answer, like, I don't know anybody else doing that because it's a pain in the ass to do it.
	I mean, it's a big ass pain.
	Trust me, how many late nights I've been fixing problems, you know?
	I hear you.
	I know with the technocracy atlas, I've tried to pull together technocracy data, but then actually even just playing around with this Epstein data has been a chore.
	And I'm sure I've run into stumbling blocks.
	And it's, you know, hey, when 90% of the pages are redacted, that throws another wrench into the whole thing.
	But I've been working on iterating the technocracy atlas to prepare for the next data dump because I understand that apparently they released 100,000 documents or whatever, and there are 5.2 million, as many as 5.2 million that they have not released yet.
	So all of a sudden they were claiming, oh, well, the Southern District of New York had a bunch of documents and we didn't know about it or we haven't had time to properly go through and redact the victims' names, right?
	But even something like with the Epstein files, there are 19,400 pictures.
	All right.
	So what are you going to do with that information?
	So I've taken that and now I'm running it through.
	It's okay.
	Yeah, if there are captions, you want to run it through OCR, then you have to run through the images to describe the images, but then you don't necessarily have the ability to map the names.
	That's another layer that you can do, but then now you submit a picture and then beyond that, crowdsource the information.
	So that's where Technocracy Atlas is going.
	But yeah, it's a big project.
	Yeah.
	It's a huge project.
	And so this is, so what you're saying, this acquiring the information and putting it into a usable form is a lot of work.
	It is a constant, it's a labor of love, particularly if you're trying to get information that's based on truth.
	And you have built hands down.
	I don't even think there's a second place of anyone that's been aggregating primary source material that's that's focused on truth.
	I don't know.
	I don't know of anybody that's doing it either.
	And look, I mean, we've spent we've spent two years and $2 million, I think it is, on this project.
	And then we give it away for free.
	I mean, we don't even charge anybody to use it.
	So there's no revenue model for us.
	But I understand that this is a critical core technology for independent media, for truth seekers everywhere to be able to have access to this, to be able to advocate for decentralized open source knowledge that bypasses the gatekeepers and censorship.
	So this is my passion and mission to do this.
	And we're only getting started, actually.
	It's going to get way more powerful.
	I mean, we've already published 15,000 books.
	That's just the beginning.
	And I think you're probably cited in hundreds of them, by the way, Aaron, because of the content you provided.
	And I was even running numbers like Dr. Mercola, his website is cited in like 2,500 books, you know, one way or another.
	So it's very interesting.
	But we're just getting started.
	And frankly, the establishment can't they can't close the doors on this any longer.
	It's out of the box.
	They can't control it.
	They can't censor it.
	And to your audience, please share this conversation so that more people can become aware of this.
	Use the tools, share the tools, create an income off the books if you want.
	That's allowed in the licensing.
	We did that on purpose.
	But use and share the tools because this is how this is how we win or how we stay alive.
	Those of us who aren't victims of the depopulation agendas that are running.
	Knowledge will save your life.
	Knowledge will serve your phone.
	Well, thank you very much.
	And again, I remind everybody, you want to go to brightu.ai.
	That's now BrightAnswers.
	Well, brightanswers.ai.
	Okay.
	Yep.
	Well, they both work, but we're doing brightanswers.ai now and brightlearn.ai.
	Okay, excellent.
	Well, great.
	Thank you very much for coming on.
	I think we're running up against time, but I'm sure we'll do this again.
	You can't wait to see what happens next.
	Thank you, Aaron.
	I'm always honored to be on your show.
	I love these conversations and I'd love to have you back on my show.
	We'll do this again soon.
	We'll do it in 10 years, which will be 10 weeks.
	Exactly.
	Sounds great.
	Okay.
	Talk to you soon.
	Talk to you soon.
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	That's a book about self-reliance and off-grid living.
	All these books will be given to you as a free download if you spend $299 or more with us during this sale, which lasts through January 12th at 11 a.m. Central Time.
	So the website you want to go to is healthrangerstore.com slash 2026.
	We'll get you straight to this page and you can take advantage of these bonuses and these special curated collections while supplies last.
	And during this special New Year's sale, we've also got our third-party vendors offering discounts of up to 20% off, including the ever-popular Protovite, a liquid multivitamin right here, as well as Dawson Knives, with our incredibly popular Hearthfire chef's knife and other chef's knives that we have there and steak knives, all of this.
	We've got other discounts such as Bearded Brothers, very popular wholesome food bars, the Yo Bar, and so much more.
	All of this is available for you at healthrangerstore.com slash 2026.
	So take advantage of that and thank you for supporting us as we help you make 2026 the best year ever.
	It's the year that you can revolutionize your health and your knowledge.
	And you can do all that by supporting us at healthrangerstore.com while we support the platforms that give you back unlimited knowledge like brightlearn.ai and others.

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