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July 10, 2025 - Health Ranger - Mike Adams

02:15:06

The Epstein BETRAYAL has MAGA erupting with disbelief (BBN, July 10, 2025)

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	All right, are you ready for today's Brighteon broadcast news?
	I'm asking myself at the same time that I'm asking you.
	I don't even know.
	But it is Thursday, July 10th, 2025.
	I'm Mike Adams.
	Of course, thank you for joining me today.
	And you're going to find that my energy level, I mean, look, I'm not as jubilant as normal here.
	I've been getting blackpilled all day by the fact that the Trump administration is all in with granting amnesty to pedophiles and child traffickers, right?
	I mean, the level of frustration right now is, of course, off the charts.
	There are some possible explanations that pretty much fall under the 5D chess category.
	We'll get to that in a minute.
	But let me back up for a moment to 1998, 1998.
	That's when Matt Drudge broke onto the scene with the shocking story of Bill Clinton in the Oval Office with Monica Lewinsky and a cigar.
	At least this is how the stories went.
	And there was a dress, and she saved the dress that had a little bit of Bill's genetic material on it, etc., right?
	These were the stories of the day.
	And I very vividly remember the religious right at the time because they were screaming about the lack of morality in the White House.
	Oh my God.
	Or he needs Jesus in his life.
	You know, he has defiled the Oval Office.
	Oh, my God.
	There were two consenting adults doing something, something involving cigars and maybe crotches, who knows?
	And this was going on in the Oval Office, the sacred office.
	I remember all this vividly, like I said.
	And the Christian right was all over this.
	And now, fast forward to 2025, 27 years later, and many of those same Christian right people now are watching their president, Trump, cover up the crimes of child traffickers and pedophiles.
	I mean, by the thousands, it looks like.
	I mean, compare this.
	And for many people, there's no outcry of a lack of morality in the Oval Office.
	It's like, oh, Monica Lewinsky with a cigar.
	That was horrible.
	But when Trump is like, well, let's let all the child traffickers go free.
	There's nothing to see here.
	There are no Epstein files.
	People are like, oh, okay, we'll just go with that.
	I'm like, what?
	I mean, there's no comparison.
	And I tweeted out today saying that, you know, somehow Donald Trump is making Bill Clinton look moral, which is really saying something.
	So here are some of my satire tweets.
	When Trump recently said he was thinking about granting amnesty, I didn't realize he meant amnesty for pedophiles.
	Okay, another one.
	White House policy in 2025.
	We have to silence those who criticize Israel for bombing children to make sure we can excuse those who traffic and rape children.
	Yeah, there you go.
	Sickening.
	And then my commentary on the 50% copper tariffs, which are going to make inflation for new construction and a lot of things, data centers, electronics, et cetera, it's going to just skyrocket at this point.
	So I said, bragging about raising money from tariffs while decimating the global supply chains upon which U.S. manufacturers depend is like shooting yourself in the face and celebrating free bullets.
	Right.
	And of course, if you are now full MAGA, like all in with the MAGA tribe, no matter what, then you're currently saying that, well, we shouldn't pay much attention to the Epstein files.
	There are bigger problems.
	Like, you know, you hear all the people who are paid to say, well, Islam is the big problem.
	It's not the pedophiles.
	It's Islam.
	I've seen a lot of accounts say that.
	So I tweeted this out.
	MAGA in 2021.
	Release the files.
	MAGA in 2022.
	Release the files.
	MAGA in 2023.
	Release the files.
	2024.
	Release the files.
	And then MAGA in 2025.
	Why are you so obsessed with the Epstein files?
	Right?
	Right?
	Hasn't this been the rallying cry of much of the MAGA movement for, I don't know, maybe eight years?
	Release the Epstein files, you know, prosecute the child traffickers, mass arrests, right?
	And now all of a sudden it's like, ah, there's nothing to see here.
	It's all good.
	So that's why I also tweeted this out.
	I said, I remind you that the only cult you cannot see is the one you're in.
	If you are now excusing child sex trafficking as part of your twisted world of 5D chess, there's literally nothing you won't excuse.
	For all the years that QAnon types were raging against child trafficking, to now see many of those very same people say, essentially, trust the sex trafficking plan, is beyond insane.
	It's demonic.
	If Trump won't prosecute clear, overwhelming evidence of child sex trafficking, then he cannot lead this nation to anything resembling justice or morality, period.
	He and his entire administration should either release the Epstein files or resign from public office.
	And that is my position.
	It's like, release the files or resign.
	Stop wasting our time.
	So now let's hear the alternative explanation for all of this.
	And this is something that Alex Jones is saying.
	He says, and this is kind of a paraphrase, he's saying that the Trump administration Is holding the blackmail material and has a secret deal to basically keep it under wraps so that the deep state will not interfere with Trump's plan to reform America substantially.
	In other words, the theory is that Trump's holding all this blackmail material as a kind of a dead man switch.
	And if the deep state breaks their deal, then Trump's going to just unleash the Epstein files.
	I mean, look, and Alex has also himself had some different takes on this as well.
	Alex has expressed a tremendous amount of frustration of the Trump administration, especially Pam Bondi, et cetera.
	So I understand that Alex is tormented by this situation, as we all are.
	But I think it's a stretch personally to think that this is just another part of the plan.
	Like Trump's going to now have the blackmail files.
	And we're not going to prosecute all the sex traffickers who raped thousands of children and killed whatever number over all these years and all the people who are controlled.
	We're not going to prosecute any of that because Trump needs the blackmail as leverage.
	This is Lord of the Rings.
	You know, the ring of power.
	It's like no man could resist the seduction of the ring of power.
	It's mine.
	It's precious.
	You know, like that kind of thing, right?
	No man could resist.
	Anybody who obtained the ring of power became consumed by it, consumed by its quest for power, quest for control, for domination over other men.
	Remember that?
	And so that's why they had to have hobbits get the ring and travel all the way to New Zealand where they filmed Lord of the Rings.
	And the hobbits made it to New Zealand and then they were able to defeat the Eye of Sauron and whatever.
	So that's Lord of the Rings.
	But it's a really powerful metaphor, of course, for exactly what's going on right now, where Trump is like, it's mine.
	I need the ring of power, you know, in order to whatever, fill in the blanks, in order to make America great again.
	Yeah, so we have to have the blackmail ourselves.
	And then, you know, after the Trump era, somebody else needs the blackmail.
	And then the next person, it's like the blackmail relay race.
	But then the people who are the rapists and the traffickers never get prosecuted, do they, under this scenario?
	No, because we need the blackmail.
	See, that's an argument that the means are justified by the ends.
	That as long as you get the result you want, it doesn't matter by what means you acquire that result, even if it means, you know, looking the other way of mass rape networks and child trafficking networks.
	And that's pretty sickening, and I strongly disagree with that philosophy.
	To me, the means very much matter.
	The means are more important than the ends.
	And that's because the means, or that is the manner in which you go about doing things, is actually, see, you're always on a journey.
	So the end never actually arrives.
	You are the manner in which you behave.
	So the means defines you.
	And if you are a person who is willing to do a deal with evil in order to hopefully move the ball towards your goal, you're going to become consumed by that evil.
	And that's exactly what Tolkien wrote about in, obviously, in Lord of the Rings.
	That's pretty much the lesson.
	If you want to skip that whole like 50-hour audio book, which is mostly the most boring writing ever, if you want to skip that and just crunch it down to one thing, that's the lesson is don't become evil in your pursuit of good.
	And by the way, there's a really great new song coming out soon from Suno.
	I mean, Suno is the tool that's building this.
	It's not my song.
	It's the song of somebody I know who is working on a song.
	I think it's called There Ain't No List.
	That should be coming out in the next couple of days.
	I'll play it for you because it's hilarious.
	I've been given a preview of the song.
	Actually, the artist was not just showing it to me, but also like asking for my opinion of the song.
	And I think it's great.
	I think the lyrics and the video and the music is all just really fantastic.
	So maybe that'll come out tomorrow or maybe the next day.
	I'm not sure.
	But this, I'm telling you, this, the Epstein Files fiasco is arguably the greatest mistake of any U.S. president in our lifetimes.
	This is such a strategic mistake to break with his own base, for Trump to really, I mean, betray his own base at this level.
	It's extraordinary.
	And for him to think that this doesn't matter because he's not listening to his base.
	He's not in touch with his base at all at this point.
	But here's the thing.
	But you know, it's not just the Epstein Files.
	There's more to this.
	But before we get there, I want to play for you just a small amount, maybe a couple minutes of this 15-minute mini documentary that was put out, I believe, by the Miami Herald a couple of years ago.
	And it's shocking some of the testimony of the girls who were victims of Epstein Island, what they say in their own words, that now Trump and Bondi and Bongino and Patel, they're all covering up.
	But check out a couple of minutes of this video because it's horrifying.
	We were underage.
	We were little girls.
	I was 16.
	I was 16.
	I started going to him when I was like 14, 15, 14, turning 15.
	By the time I was 16, I brought him up to 75 girls, all the ages of, you know, 14, 15, 16, people going from 8th grade to 9th grade at just school parties.
	This is where I recruit him from.
	All Jeffrey cared about was go find me more girls.
	His appetite was insatiable.
	He couldn't stop.
	He wanted new, fresh, young faces every single day.
	He needs to be behind bars.
	He needs to be behind bars for the rest of his life.
	There is way too many girls for him not to be.
	It's just mind-blowing.
	Those are just a few stories from the more than 80 alleged victims of serial child molester Jeffrey Epstein, left voiceless by the U.S. justice system.
	Now, some lawmakers are demanding an investigation into the Department of Justice's extremely lenient deal for Epstein in 2007.
	The case has gained renewed interest after the Miami Herald reported that federal prosecutors, led by then U.S. Attorney and now Labor Secretary Alex Acosta, entered into a secret deal with Epstein that allowed him to spend just 13 months in county jail when they had enough evidence to put him away for life.
	Yesterday, Senator Ben Sast fired off a series of letters, including one to the Inspector General of the Justice Department, calling Epstein a monster and writing that the, quote, pathetically soft sentence is a travesty that should outrage us all.
	Joining us now is the investigative reporter behind the Miami Herald expose, Julie Brown.
	Julie, good morning.
	Thank you for being with us.
	This is just an extraordinary string of reporting from you and your team at the Miami Herald.
	People can read it on the website.
	But I just want to lay out some facts for people who's sort of just tuning into this story.
	The FBI in that indictment listed the accounts of 32 women, but you found more than 80 women.
	Tell us about some of the digging you did to get their stories.
	Well, this case has been around for many years.
	A lot of reporters have followed it and done some very good work on this, but it is now a decade later.
	And after Alex Acosta got nominated as labor secretary, I remembered this case.
	And I thought, you know, where are these girls now?
	You know, now they're in their late 20s, early 30s.
	And I wonder what they think, quite frankly, about this and how did this affect them.
	And so I decided the only way I was, all their names were all secret, of course, because they were minors at the time.
	So I had to really dig through a lot of court files in the hopes of finding clues on who these women are now today.
	So it did take me quite a few months to get a list of names together.
	And I wanted to find out exactly how their lives have gone and what they thought.
	I mean, when you're adult women, you think of things a lot differently than when you're 14 years old when this happened.
	All right.
	That's three minutes of it.
	There's a lot more of that video, of course, but I only wanted to show you three minutes of it, just to give you a sense of the fact that the victims of Epstein are real.
	And there, she was citing 80 women, most of whom were minors at the time, that they were trafficked and raped repeatedly.
	I mean, they were 14 years old, they were 15 years old, maybe some even younger.
	This is what the Trump administration is now excusing.
	So the Trump administration, Pam Bondi, et cetera, they have just said that we're granting amnesty, essentially, to the rapists, the clients of Epstein who raped these 14-year-old girls.
	And the Trump administration is doubling down and tripling down on that and saying, you know, case closed.
	There's nothing here.
	There were no clients.
	There were no victims.
	And there are no files.
	And there are no videos now, they say.
	Well, no videos that they're going to release.
	But what about the files that were on Pam Bondi's desk?
	Did they vanish?
	Does her desk have a...
	Is that where the federal budget goes also?
	Is that where Pentagon money goes?
	Or maybe it's NASA money.
	I don't know.
	Or, oh, money for Ukraine, that's where it goes.
	Yeah, okay.
	No, but check this out.
	There's another video from a Trump administration official, Alina Haba, actually this year.
	So this is relatively recent.
	And she was on with Piers Morgan describing some of the evidence that the Trump administration had in their hands.
	Which means that if this evidence has been destroyed, Trump's people destroyed it.
	Not Biden's people, but Trump's people.
	So Trump's people are destroying evidence of child trafficking and sex crimes.
	I mean, wild.
	Check out this video.
	But in this case, in Epstein's case, it is incredibly disturbing.
	We have flight logs, we have information names that will come out.
	Is it going to be shocking?
	I don't see how it's not shocking that there were so many individuals that were hidden and kept secret and not been held accountable.
	Let's talk about the reverse.
	I believe in accountability.
	So you have to now go through your process.
	Now, I won't say they're guilty until they go through their time in court.
	But again, now it's time for accountability.
	We have seen for so many years, Pierce, in this country, many investigations, subpoenas, testimonies in Congress, et cetera, et cetera.
	But there's a general frustration with accountability.
	We take it halfway.
	We don't take it home.
	And I really believe that now with Cash and Pam, there will be accountability.
	Well, boy, was she wrong about that one.
	With Cash and Bongino and Pam, there's zero accountability.
	But notice what she mentioned.
	They've got the flight logs.
	They've got the list.
	They've got the names.
	They've got all kinds of stuff that's like highly emotionally disturbing that's going to come out.
	And it has to come out because the nation is demanding accountability.
	And now, that video was from February.
	So what happened between February and today?
	What happened?
	I mean, in March, Pam Bondi was bragging about all the stuff she had on her desk, truckloads, and oh, it's all going to come out.
	I'm just reviewing it now.
	It's on my desk.
	What happened?
	I'll tell you what happened is Netanyahu visited a couple of times.
	And now, this part is my personal speculation.
	It's my belief.
	Well, let me back up and ask you this.
	You do know that Dan Bongino's entire career is destroyed now, right?
	He can never go back to being a podcaster because he'll be a clown.
	Same thing with Cash Patel, right?
	His reputation is utterly destroyed.
	Pam Bondi, same thing, right?
	Pam Bondi can never be trusted in any kind of position of authority, especially not a prosecutorial position.
	But these people, and some would argue Trump is in the same boat now, but their reputations are utterly destroyed because of this.
	And every single one of them, but especially Bongino and Cash Patel, are on the record multiple podcasts, multiple videos over the last five plus years, demanding the release of the Epstein files, saying they would reform things if they came to Washington.
	Heck, Cash Patel said he would shut down the FBI.
	Bongino said that he would fire all kinds of people.
	He would launch an internal investigation.
	He would have FBI agents arrested.
	But repeatedly, they talked about the Epstein files.
	And then they get into power in the FBI and in the DOJ, in the case of Pam Bondi.
	And what happens?
	Suddenly, they do a 180 and they say there are no files and they destroy their own reputations.
	I ask you this question.
	What would happen?
	What kinds of things could happen that would cause a person like that?
	Let's take Dan Bongino.
	Bongino was a very successful podcaster.
	Many people called him the replacement for Rush Limbaugh.
	He was very popular, former Secret Service agent, and very, very critical of the government during the Biden regime.
	Bongino had all kinds of broadcast deals.
	His show actually took over a lot of Rush Limbaugh's spots on syndicated radio.
	Bongino was a major investor, I think, in Rumble.
	I think it was in Rumble, but a lot of other ventures as well.
	Bongino's net worth is probably, I don't know, 100 million or more, maybe a couple hundred million.
	Why would he sacrifice his entire reputation upon which that empire was built?
	Why would he destroy his potential for the future as a podcaster, you know, after he leaves government office?
	Why would he do that?
	And the only thing that I can think of, and I pray this isn't true, but the only thing that I can think of is that Netanyahu and Masad sat down with Dan Bongino and said something to him that was so gangster,
	like, you know, we're going to peel the skin off your children in front of you while you're watching and we're going to make you suffer, you know, unless you shut up about this, you know, some crazy, like mafia-style gangster threat.
	Like he had to have been threatened at that level to do what he did, in my view.
	Now, again, I don't have any evidence that this happened.
	This is just a guess on my part.
	But knowing that Dan Bongino, regardless of what you think of him now, he's not someone who lacks courage.
	That's clear.
	He's not someone who lacks a sense of action.
	You know, Dan Bongino has proven that he is a person who doesn't roll over easily.
	So I don't think he rolled over easily.
	I think he rolled over hard.
	I think somebody came at him hard, like, you know, we're going to dissect your family or something.
	That kind of hard.
	Same thing with Patel, same thing with Bondi, same thing with Trump.
	I think, and I think the party that came at all of them is obviously Israeli intelligence.
	I think they showed them videos of, you know, assassination of JFK.
	That was us.
	Bombing of the World Trade Center.
	That was us.
	Yeah.
	Who shot Reagan?
	You know, Hinkley, but who was Hinkley working for?
	Wasn't it Hinkley?
	There's a whole string of historical events that Israel masterminded.
	They can do much more than just blow up pagers in Lebanon or slaughter children in refugee camps in Gaza.
	They can do a lot more than that.
	And don't forget that the Israeli companies run many of the top VPNs.
	So anybody who's been using the VPNs without knowing what they're doing, and if they're paying for those VPNs with their credit cards, you know, VPN services that claim to hide your IP address, yeah, it's all routed.
	Well, not all, but many of the top companies are routed through Israeli intelligence.
	So they simply tie a credit card to a person's name and then they hoover up all that person's traffic, everything that they can.
	Emails, website visits, anything that's going on, crypto transactions probably, you name it.
	So maybe that's part of what they're being threatened with as well.
	And frankly, you know, Israeli intelligence can hoover up everybody's, like the family members' emails and website visits and, you know, social media accounts and private photos and who knows what else.
	So maybe part of this is blackmail of like, we're going to expose your family or we're going to expose your child or your wife or whatever.
	I mean, there's nothing Mossad won't do to have absolute control over the Trump administration, right?
	That should be clear.
	But I think that whatever happened was a threat to the lives and the lives of the family members of these people.
	So otherwise, I don't think they would have caved.
	And if that's true, it means we are literally living under an occupied government.
	It's occupied by Zionism, the Zionist intelligence deep state that's literally calling the shots, telling Trump what to do, telling everybody what to do, especially Senator Ted Cruz.
	But there's more.
	So now the FBI, under Bongino and Patel, is reportedly calling alternative media outlets and threatening them to back off the Epstein story.
	Yep.
	So from Diligent Denizen on Twitter, Steve Baker of The Blaze insinuates that the FBI has been calling media and new media outlets, telling them to back off of the Epstein story or they lose access.
	So today, Benny Johnson and Fox News were supposed to talk to Steve Friend, an FBI whistleblower, but they all canceled that story.
	They ran the James Comey story instead.
	Hmm.
	Look for who's posting what today.
	See, so the story was thrown out there about, oh, James Comey and John Brennan have been referred to the DOJ for possible prosecution.
	That was nothing more than a look, squirrel moment that was designed to just distract people from the Epstein fiasco.
	That's all that was.
	James Comey, never going to go to jail.
	John Brennan, never going to go to jail.
	It's not going to happen.
	In fact, none of them will.
	I mean, the Trump administration won't even put child rapists in jail.
	I mean, they might find some low-life sort of token child rapist that they dragged up out of a trailer park somewhere or something, off the streets somewhere.
	Yeah, we've got a child rapist.
	Not the important ones, not the billionaires or the senators or the governors or whoever else is on video with the Epstein files.
	They're not going to prosecute any of those people ever.
	It's never going to happen.
	So you are literally living under an occupied nation run by death-threatening deep state Mossad intelligence who are controlling the entire Trump administration and can order them to even destroy all their own future careers, to destroy their own credibility, whatever it takes to memory hole the Epstein files.
	Why?
	Because the Epstein files would bring down Israel.
	It would bring down the whole blackmail network upon which Israel depends in order to get consensus from the governors and senators and everybody else in the U.S. government.
	That's what I think people are starting to realize now.
	But that's not the only issue here where Trump is betraying his own base.
	Let's talk about Ukraine and Russia, because Trump, of course, had promised before he was sworn in that he would end the war with Russia in one day, just one day.
	I mean, even in idiocracy, the president was saying that the guy, not sure, would be given one week to solve the water crisis.
	You know, when they were feeding the plants Brondo, remember that?
	Because water is only for toilets.
	But Trump said he's going to solve it in one day.
	Of course, that was a joke.
	That didn't happen.
	Now, Trump has just admitted he's sending more weapons to Ukraine.
	And he says, well, we have to send weapons to Ukraine so that Ukraine can defend themselves.
	Well, okay, but I thought that you were going to drive us towards a peace negotiation to end the conflict.
	And that actually doesn't work by just continuing to send money and weapons to Ukraine.
	And I say this as someone who I genuinely care for the Ukrainian people.
	And I don't want to see any more bloodshed whatsoever.
	And frankly, the longer this goes on, the more territory Ukraine loses.
	You know, the sooner there's peace, the better off Ukraine's going to be.
	And it doesn't make any sense to say, well, now we're going to just, we're going to ship a lot more weapons to Ukraine and we're just going to keep this war going longer.
	I mean, Ukraine is losing territory rapidly.
	Ukraine's losing men.
	Ukraine's economic circumstances are disastrous, catastrophic.
	Ukraine's losing a significant portion of its population.
	The only way that comes to an end is if there is peace.
	But see, here's the thing.
	Trump and the West will never agree to Putin's basic terms, one of which is we're going to keep all the territory we currently occupy.
	And secondly, Ukraine can never be allowed to join NATO.
	And, oh yeah, what's the third one?
	Ukraine has to be denazified, whatever exactly that means.
	I'm not sure.
	Because if you really want to denazify Ukraine, you need to go all the way to the government of Germany, actually, which is...
	Not the people of Germany.
	I'm talking about the leadership of Germany.
	But then again, we have Nazis in the leadership of the UK as well.
	Hey, by the way, someone from the UK made a very substantial donation to our Texas rain, you know, the flooding rescue operation that we have going.
	And I'm not going to give out your name if you're listening, but someone from the UK donated $1,500.
	And we are now up to about $40,000 in donations.
	Today's the last day for you to purchase a donation voucher.
	You can go to healthrangerstore.com slash rescue.
	And then at midnight tonight, we're ending the ability to purchase vouchers.
	And then all day tomorrow, we're gathering up all the physical goods.
	I'll be in the warehouse Filming, showing you what we're donating.
	Here it is.
	Now it's going to be at least $65,000 total to the flood victims in Texas because $40,000 is what you have donated, our listeners, and then we're adding $25,000 on top of that.
	And it's all physical, you know, food and personal care products.
	And we'll show you.
	We'll show you the whole collection on video.
	And that leaves our warehouse on Monday.
	It's already arranged.
	We've got the contact at the staging location in Kyle, Texas, and they're ready to receive it.
	We told them it's going to be a lot.
	They're ready.
	They're not going to be overwhelmed like what happened in North Carolina at the airport tarmac where we ended up in the Pole Creek Baptist Church there.
	This is going to a staging area in Kyle, and it'll get into people's hands starting next week.
	So whoever you are in the UK who donated to this, God bless you.
	You really upgraded my view of our British brothers and sisters there.
	Because sometimes I tease the British about 1776 or whatever, just because of our fun history together.
	But it just shows you that so many Brits have amazing heart, don't they?
	They've got a big heart.
	They love humanity.
	They love each other.
	And most of them love their country, too, and they're trying to save their country from the likes of Never Hear Keir Starmer.
	That's his new nickname because he's never there.
	Keir Starmer, who pretty much puts Israel first and Great Britain last, obviously.
	So I feel sorry for all of you who are British citizens listening to this.
	But then again, I feel sorry for us in America right now, too, given that our administration is protecting pedophiles.
	I mean, it's kind of bad everywhere you go at the moment, isn't it?
	So anyway, what do you think about all of this?
	Is it, I mean, is MAGA done?
	Is this it for MAGA?
	Or is this some kind of super 5D chess and we should just have a little more hopium?
	If we could just snort a little hopium for a little longer, then maybe we'd be okay.
	No.
	See, I'm not buying that.
	I'm not snorting hopium.
	I'm just trying to face the reality that, whoa, it doesn't matter who you elect, they all become swamp creatures.
	That's what it looks like to me.
	Hope I'm wrong.
	Maybe you think I'm wrong.
	That's okay.
	I hope I'm wrong.
	But I don't think I am.
	Unfortunately.
	And I feel a little bit guilty for having a little bit of opium for too long, I think.
	You know, I do try to give people the benefit of the doubt multiple times.
	I try to maintain a positive outcome attitude, believe it or not, despite the nature of a lot of my podcasts.
	I do hope for the best, but I'm usually disappointed in that when it comes to, of course, government.
	It's just, it's incredible.
	You know, ICE now has a budget that's somewhere close to like $80 billion.
	And I had previously stated that the ICE budget was now larger than the budget of the entire Russian military.
	It turns out that's not quite the case, but it's not that far off.
	Well, let me just read you the numbers.
	So, okay, ICE budget, 80 billion, give or take.
	It's in that neighborhood.
	China's military budget is 246 billion.
	That's pretty large.
	That's the second largest in the world.
	Russia's military budget is 150 billion, so larger than I thought.
	Germany's is 109 billion.
	India's military budget is 79 billion.
	So it turns out that ICE, the ICE budget, is about the same as India's military budget, which is interesting since ICE will be sending a lot of people back to India, it turns out.
	Saudi Arabia, their military budget is $78 billion, and Japan's is $55 billion.
	Japan being a smaller territory doesn't need quite as much money or doesn't have as much waste.
	Ukraine's military budget is $54 billion, but that's mostly America's money just being funneled through Ukraine and mostly vanishing probably under Pam Bondi's desk.
	And then France has a military budget of $47 billion.
	South Korea has a budget of $45 billion.
	I keep wondering, if France has a budget of $47 billion, why don't they have a military that's functional?
	There's a question for you.
	And for some reason, this did not list the UK's military budget, probably because the AI engine that provided this answer figured, the UK doesn't really have a military anymore.
	Like, nothing works.
	So maybe it just got zeroed out of the list.
	Who knows?
	Okay, but then another source, Statista, says that Russia's budget is only $109 billion, not $150.
	So that's much closer to the 80 that I was mentioning.
	And if you're curious about the U.S. military budget, it is by far the largest in the world.
	In fact, it seems to be larger than all the other countries combined, and it is just about $1 trillion.
	A trillion dollars.
	A trillion dollars.
	Where is that going?
	But my point in all of this is that Trump promised peace, but he's only delivered us more war.
	Trump promised to release the Epstein files, and then he said they don't exist.
	Think about this.
	And in many ways, Trump campaigned on the idea of holding people accountable in the Biden administration.
	There have been no arrests.
	Where's the arrest of Mallorkis for running the mass invasion of America?
	Where's the arrest of Fauci?
	Oh, it's never Going to happen.
	Never going to happen.
	So, you know, the main things that Trump campaigned on, most of them are not happening.
	One of them that is prominently happening is the effort for the mass deportations now, because of the big, beautiful bill and, you know, the ICE budget that we just said, building the wall.
	And the deportation effort, as I've concluded, is it's really, it's mostly an effort to take back America's elections before the midterms.
	So it's a strategic operation that is necessary, and it is something that I agree with just because I'm a rule of law person.
	I do think that immigrants should, I mean, by definition, to immigrate means to adhere to a legal process.
	If you just cross the border illegally, you have not immigrated.
	You have trespassed.
	So to even call them illegal immigrants is not correct.
	And you could call them undocumented migrants, but they're really invaders until they go through the legal immigration process.
	So I welcome immigrants, don't get me wrong, I welcome them.
	And we do need some level of immigrants legally in this country, but we get to choose who they are, you see.
	So I agree with that aspect of what Trump is doing.
	And clearly, what's going to happen for the next year plus is going to be massive in terms of deporting potentially one to two million illegals out of this country with that massive ICE budget.
	Hey, you know what?
	We should do the math on that.
	We should figure out what's the government expenditure per deportee.
	How about that?
	Let's do the math.
	Let's say, okay, if they deport 1 million illegals, but it's costing $80 billion, wouldn't that be $80,000 per deportee?
	I'm pretty sure.
	Isn't that what it comes out to?
	So wow.
	$80,000 per deportee.
	Huh.
	That's a pretty expensive deportation process.
	Seems like you could just offer them like $20,000 to leave and you would save money.
	It's like, here, pick up your debit card at the border on your way out.
	It's $20,000.
	I think the Trump administration did have some kind of incentive, but it was much lower than that.
	It was like a couple thousand dollars.
	You just raise it, you know, collect 10 grand.
	Get out of here.
	You know, go back home and reapply legally if you want to come back in.
	It would be cheaper.
	That's amazing.
	$80,000.
	So anyway, back to the main point here, the bottom line is there are some things in the big, beautiful bill that I do agree with, and I think most Americans, you know, agree with that.
	And there are also some important tax breaks for businesses that choose to build infrastructure, to build manufacturing plants.
	And even my own company, which began construction a couple of months ago on some new buildings, including a new studio, by the way, we're going to get some tax breaks for that, for the money that we spend ourselves.
	It's not like taxpayers are paying for our buildings.
	No, we're paying for them, but the IRS normally doesn't let you write it off in the year that you build it.
	You have to spread it out over 30 years through a depreciation schedule, which is a nightmare for cash flow.
	So the Big Beautiful Bill allows companies like ours to write that off in the first year, which is a godsend for being able to expand operations.
	So, you know, that's a good thing.
	Those are good things.
	They're pro-America, pro-business.
	They're going to create more jobs.
	They're going to create more infrastructure in America.
	I absolutely support those things.
	But sadly, that is shadowed by this, you know, the Epstein files betrayal and the fact that Trump has not yet managed to get us out of these two conflicts, the Russian conflict and then the Middle East situation, where Trump seems to be wrapped around Netanyahu's pinky finger.
	That's just sad.
	Anyway, it doesn't appear that we're getting many of the very important things that people thought Trump and his administration were going to deliver.
	And it appears that everybody that goes to Washington, D.C. gets consumed by the swamp.
	And that's where we are.
	And I've been saying and tweeting out that we are in the last final chapter of this collapsing U.S. Empire.
	And that the things that you are witnessing right now, like this gaslighting, like, oh, we've got all the files.
	And then two weeks later, what files?
	There are no files.
	Like, these are signs of the end times of the empire.
	This is the kind of clown show behavior that you see when the whole thing is unraveling.
	And the financial unraveling is accelerating.
	Of course, we don't know when or how or what's going to break first.
	But do you get the feeling that there is a lot afoot right now?
	You know, I mean, not just with the Epstein files and the apparent betrayals, but a lot of weird weather events taking place.
	It was like tornado warnings in Washington, D.C. earlier.
	Flooding in multiple areas across the U.S. now, just very strange weather patterns, strange cloud formations.
	Sightings or new sightings of flying orb UFOs have just surfaced.
	Who knows if they're real or not?
	Looks like the flying spheres from that movie Oblivion with Tom Cruise.
	One of my favorite films, by the way, or science fiction films.
	But there's a lot of weirdness going on.
	And, you know, when it comes to the dollar, I don't have a good vibe about how long the dollar lasts.
	I really don't.
	I think we're going to roll into a real hyperinflation scenario at some point here where the money printing is just going to Accelerate every month and then every week to the point where we're going to be $50 trillion in debt in just a few short years here, if we even make it that far.
	The rest of the world is looking to get out of the dollar.
	They're looking to find a way to avoid having to be punished by U.S. sanctions.
	And with Trump announcing these new tariffs, it only accelerates that.
	I think he hit Brazil with a 50% tariff, kind of punishment for Brazil's censorship of U.S. platforms like Rumble, for example.
	But then here in America, Axe is still censoring links to Brighteon.com.
	So, you know, why?
	There's so much censorship right here at home in America that Trump's not doing anything about, but it's punishing Brazil with 50% tariffs.
	And then Trump is hitting our allies with huge tariffs, like Japan, 25% tariff.
	South Korea, I think, also 25% tariff.
	And these tariffs are very, very disruptive.
	You know, 50% tariff on copper, like I talked about yesterday, extremely disruptive.
	So things are about to get a lot more expensive in this country.
	The revenues that they earn from the tariffs are nothing compared to the massive economic disruption and supply chain disruptions that are caused by these tariff policies.
	So far, these tariff policies are not helping American businesses or American consumers.
	They're making things more expensive and more scarce.
	And then on top of this, the U.S., from a military point of view, is really showing itself to be obsolete.
	We can't produce the munitions that are needed to funnel to both Ukraine and Israel.
	For example, the Patriot missile interceptors, according to Daniel Davis at Deep Dive, that's his channel on YouTube, you know, former tank commander in the Gulf War.
	According to his sources, the United States can only manufacture 600 interceptors per year.
	And they fired off several hundred in Israel just during that so-called 12-day war with Iran, which was just a little tiny taste of things to come.
	The U.S. cannot defend Israel against Iran, and it cannot defend Ukraine against Russia, which also just became apparent as Russia launched like 700 drones or something yesterday or the day before, most of which hit their targets in Ukraine.
	I mean, Russia is basically unimpeded or largely unimpeded in the skies of Ukraine as they're hitting targets, a lot of infrastructure targets in Ukraine.
	Russia's basically dismantling Ukraine's power grid and they're hitting even Ukraine's military recruitment centers, which caused some local Ukrainians to cheer, apparently, because they're tired of being kidnapped off the streets and thrust onto the front lines.
	But that doesn't sound fun.
	My point is that the U.S. military can't protect its allies.
	And yet we're economically punishing our trade allies like Japan, which makes no sense.
	And then the whole concept of the U.S. aircraft carrier is utterly obsolete.
	So if the U.S. were to roll aircraft carriers through the Strait of Hormuz or into the Red Sea, or let's say the Persian Gulf area through the Strait of Hormuz, or the Gulf of Oman,
	or wherever, Iran can take out aircraft carriers with a barrage of low-cost attacks, either under the water, on the surface of the water, on top of the water, just a barrage of ship drones and air drones and short-range missiles and whatever.
	Aircraft carriers would be destroyed and they would sink.
	And other ships as well.
	So it seems to me like we are really watching the last chapter of the U.S. Empire.
	And I don't know what the collapse looks like, but I suspect it's going to be economic.
	And I recently got a little extra cash out of the bank just because I don't want the exposure in the bank.
	But it makes me nervous sitting on even a little bit of cash because I'd much rather have gold and silver.
	It's just, I think it's wise to have some cash around, you know, a few thousand dollars of cash that you can access physically in case the whole banking system craters.
	Cash will still be good for some period of time because people will still recognize it.
	So yeah, I've got a few thousand dollars in cash sitting around.
	And then, you know, I've got junk silver coins that I could use and barter, whatever.
	I've got, you know, ammunition, things like that.
	But gold and silver is where it's going to be at, in my view, when this whole thing really begins to unravel.
	So gold is settling a little bit right now, which is great because it's, in my view, you know, it's a good buying opportunity.
	It's hovering right around the low 3,300s.
	And that doesn't mean it won't go lower in dollars.
	But if more war breaks out in the Middle East, gold will almost certainly go much, much higher in dollars.
	Then again, I'm not your investment advisor, but if you want to get more gold and silver, of course, check out our sponsor, which is the Battalion Metals Company.
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	Now, the Fed doesn't want to lower interest rates right now, but Trump is strongly pressuring the Fed to lower interest rates in order to spur, I think, a larger stock market bubble, but also to make borrowing money less expensive, which Trump believes would be really good for the economy to allow more companies to borrow and build and expand and invest and so on.
	So, you know, there's a positive side of that, and there's a negative side, which is that it creates more bubbles and it would also make housing less affordable, i.e., more expensive.
	There'd be more money, kind of cheap money, chasing housing and other assets like that.
	Trump has even gone so far as to threaten that when Jerome Powell's tenure is up, or whatever they call it, his current term is up, I don't know the exact date, but I think that's next year, Trump is going to somehow leverage a person into that position that he believes he can control, even though the Fed doesn't answer to the U.S. government, because remember, the Federal Reserve is not federal.
	It's actually run by an international banker cartel, basically a bankster mafia.
	They don't answer to the U.S. government.
	They don't have to abide by any U.S. laws whatsoever.
	So I'm not sure how Trump intends to do this.
	Maybe he's going to use the Epstein files.
	I don't know.
	It's a certain blackmail on certain people.
	Like lower interest rates or else we're going to release your, you know, your child rape videos.
	Who knows?
	It's a sick, twisted world right now, folks.
	But Trump wants to get interest rates down, down, down, which could kick the cam down the road a little bit longer.
	But you know what that's going to do?
	Oh my goodness, to the debt market.
	You know, it's going to force all those banks and hedge funds and pension funds that they always buy a certain percentage in treasuries.
	They're going to end up buying into these near 0% return treasuries again, which is, I mean, we've already seen this happen before, such that when interest rates go back up, then of course the value of those bonds plummets.
	And then when bank customers, I mean, this is what brought down Silicon Valley Bank and the failures that happened, what was it like a year and a half ago, whatever that was, this is what brought them down two years ago.
	It was the fact that the banks were holding on to so many treasuries that paid basically 0% yields.
	And then interest rates rose and people started redeeming their money out of the banks saying, I want my money back out.
	And then the banks were forced to sell off their low-yield debt instruments at a deep, deep discount, taking massive losses, which resulted in bank failures.
	So in essence, if Trump forces the Fed to have artificially low interest rates, he's going to be setting us up for another round of bank failures sooner or later, although that could be years away.
	It's just something to put on your radar to keep in mind.
	That's why I don't trust the banks, folks.
	You know this about me.
	I don't trust the banks.
	I trust gold and silver either in your hands or in a vault, vaulted, allocated to you, or buried with your secret treasure map, whatever, somewhere safe that nobody can get to it.
	That's what I trust.
	I don't trust digital money in the banks.
	I do trust digital decentralized crypto, especially privacy crypto, because governments can't counterfeit that.
	So that's more trustworthy than the dollar.
	But I do not trust money in the bank.
	I do not trust the treasury.
	I don't trust the pension funds.
	I don't trust the dollar.
	I don't trust the Fed.
	And I don't trust the Trump administration on fiscal policy.
	Well, or much of anything else, come to think of it.
	So plan accordingly.
	All right, now, before we go to today's interview, which is kind of interesting because it's actually my appearance on a podcast that's run by Tommy Kerrigan.
	And then Tommy Kerrigan had a guest on that I just met on the podcast.
	He goes by EM, and he's apparently a machine learning guy.
	And I didn't know that at first.
	He started asking me questions about my AI engine.
	So I started giving him answers that were just in the realm of like common everyday users level, like not getting super technical.
	And then I realized he asks a return question and he starts going into like machine learning and pattern recognition.
	I'm like, oh, okay, I'm talking to like a math guy now.
	So then I started responding and unleashing a lot more details about the underlying algorithms and how we trained Enoch to be so awesome.
	If you want to use Enoch, of course, it's free.
	It's at brighteon.ai right now, free of charge.
	You'll love it.
	And we're also greatly increasing the number of allowable queries per day.
	So the daily prompt limit had been, or currently is 50 per day, and that's going up substantially.
	We just had to start it with more rate limiting to test everything and kind of stress test it, but it's working mostly smoothly now.
	So we're amping that up in the days ahead.
	Anyway, so EM starts asking me questions about, you know, rag implementations and base models and, you know, vector databases and things.
	So I'm like, oh, okay, I'm free to talk.
	You know, so he and I geeked out for a while.
	And you'll see that.
	And it might be a little too geeky, actually.
	So you can feel free to fast forward through some of that if you want.
	But if you're really interested in what's under the hood of AI engines, then you can listen to the geek part of the conversation.
	It's like two math nerds talking about AI innovation.
	Boring for some, fascinating for others, right?
	Take your pick.
	Nevertheless, that's coming up.
	But first, before we get to that interview, I want to introduce you to the vodka sacrifice of the chemtrail critters.
	So this is a very special little film segment for you here, filmed in the studio under the microscope.
	So if we backed up a few months now, remember that Dr. Jane Ruby had sent me these chemtrails fallout samples, these plastic sheets, you know, with all these weird life forms on them.
	And then we incubated them for a long time, actually.
	And we kept seeing more and more life forms come to life.
	And then I got the new microscope, like a couple months ago, whatever it's been.
	And then we were able to see the critters even better with the new microscope.
	And so we kept incubating.
	And I had that incubator on my desk, but last week it was like a giant mold blob started growing out of that dish.
	And it got a little freaky.
	I kept looking over.
	I'm like, I don't like this.
	This is like chemtrail bioweapon life forms over here.
	And I think I'm going to have to end this experiment here.
	So what I did under the microscope is I took about 100 microliters of the living critters and we did a vodka sacrifice.
	Yes, I hit them with some Russian vodka.
	I forgot the name of it, but it's a fun, cheap, it's like the cheapest vodka because the only time I go to alcohol stores is when I'm trying to buy basically grain alcohol for this kind of purpose, either to do herbal extractions or for mad science experiments.
	So I'm like, what's the cheapest vodka you got?
	You know, you could get like a case of vodka, plastic bottles.
	You would never want to drink that stuff, but it's perfect for this use.
	So I took that vodka and then we put a drop of the vodka on the slide and the critters went insane.
	They went absolutely bonkers.
	So I've been saving this video for you and gosh, I hope our editor can find it.
	But this is the last vodka sacrifice of the chemtrails critters.
	We'll play that video.
	And then after that, enjoy my interview with Tommy Kerrigan.
	And I'll be back with you tomorrow.
	All right.
	Welcome, folks.
	Today is Judgment Day for the Chemtrails Fallout Microbes that you see under the microscope right now.
	Go ahead and show my screen.
	This is a real-time image here.
	The microscope is on or right beside my desk.
	Whoa, hey, what is this?
	That's a freaky looking.
	That's like an egg drone carrier right there.
	Now, these are the samples that we've been incubating here for many months.
	And they're originally from Dr. Jane Ruby and her, the Fallout sample collection that she collected in Florida.
	That originally we were told by lots of people that, oh, there's nothing in there that's alive.
	It's not going to be living.
	So we incubated it.
	And we found out there's all kinds of crazy stuff in here that's alive.
	We've identified at least six different life forms.
	And as you can see right now, a lot of these are swimming around.
	And just to show you, I'm going to zoom way out so you can see.
	Let's go to 7x on this digital microscope.
	It's going to swap out the lenses.
	There we go.
	So that's the slide.
	And that's a little bit of liquid on the slide.
	It's just what I use, 150 microliters.
	All right.
	So now I'm going to zoom back in, show you how this works.
	It's got to swap the lenses.
	Now it's zooming in.
	There we go.
	That's like, we'll go to 200x.
	It's going to zoom in there.
	There it is at 200x.
	We're going to take it to 500x.
	And then we're going to go back to 1500x.
	And that's where we started.
	So there's some of the bacteria, the different, I don't know what you call these, different rods, different strains.
	And, you know, look, we've identified a lot of different life forms.
	I mean, we haven't identified the names of them, but we have been able to visually see that there's many different life forms in this fallout sample.
	So I thought that the best thing we could do today is let's use a pipette and let's do a death by vodka.
	How about that?
	Death by vodka coming up.
	All right, so I'm just going to put a drop of vodka on this slide and we're going to actually eliminate the chemtrails fallout with alcohol.
	So here we go.
	Here we go.
	What the hell?
	Wait, let me zoom out.
	We didn't see that before.
	What's going on?
	Holy.
	Apparently it caused a vodka panic.
	Wow.
	Well, that's the best Russian vodka right there.
	What is that?
	Nikolai.
	Yeah, Nikolai.
	When you really want to zoom.
	I wonder what alcohol does to your brain.
	Look at this.
	Man, we should have tried this earlier.
	This is exciting.
	Anyway, alright, so there's some kind of mass panic taking place.
	It appears that the micro-apocalypse is over.
	What the heck?
	Now everything's just floating.
	That was crazy, huh?
	Well, apparently the answer to chemtrails is drink more vodka.
	Yes, apparently.
	Huh?
	Well, there's one still living right there.
	Still trying to swim a little bit.
	But most items here have been, let's say, denatured.
	What is this?
	This guy's still swimming a little bit.
	But it looks like we got most of them with a couple of drops of alcohol.
	Wow.
	All right.
	Well, there you go, folks.
	I guess the answer to chemtrails is more vodka.
	At least that's what we saw here today.
	So this is the official retiring of the Dr. Jane Ruby Chemtrails Fallout samples.
	I've decided that I don't want them incubating here in the studio any longer.
	We've sort of proven the points that we were trying to show that they come to life at human body temperature with some level of humidity.
	There are multiple different living organisms that self-emerge from these samples.
	And this is what's falling out of the sky.
	And they can be viewed, they can be measured, they can be killed with, well, apparently with vodka.
	And they respond to vodka.
	So that's interesting.
	Be careful what you are breathing, let's say.
	And if you grow food outdoors, be sure to wash it thoroughly before you eat it.
	Otherwise, you are probably eating organisms like these.
	Just be cautious.
	We are under constant assault from the skies, from the water, from the pesticides, the herbicides, the hormone disruptors, the heavy metals, the vaccines, the pharmaceuticals, you name it.
	We're under constant assault.
	So it's important to protect yourself in every case.
	And yeah, this shirt, these are the elements of sarcasm or the primary elements of humor.
	There you go.
	Sarcasm.
	Got it?
	All right.
	Just another geeky science shirt.
	Got a collection going here.
	Anyway, thanks for watching.
	I'm Mike Adams here, Brighteon.com.
	And that's it for the Chemtrails Fallout Samples.
	We've got other interesting stuff to incubate and show you in the weeks ahead, including some experiments on fluorescence.
	So watch for that.
	And thanks for watching today.
	I'm Mike Adams.
	Take care.
	And we are recording and we are streaming onto Rumble on Tuesday, July 8th, 2025 at 3.09 p.m. Eastern Time with Mr. E.M. Burlingame, who was on with me yesterday.
	And we are both still wearing the same shirts, like disgusting pigs.
	And Mr. Mike Adams is on here with a nice sports jacket and a dress shirt.
	So he clearly, he's already taken authority as the more well-dressed, well-groomed man.
	This is kind of like prison, walking in and killing someone the first day.
	You show up dressed better to your show.
	But for everybody listening, you can go to the description, find both their Twitters.
	You can go to Brighteon, which is where all of my podcasts are hosted.
	Mike's website, and then Bradyon.ai, which is your free AI.
	And kind of talking about that just from what we were just joking about, about, you know, Epstein.ai, like what is truth in this world?
	I mean, because it's a joke, but it's also not a joke that it depends what answer you get on what AI you use.
	And it's like, well, that's not, I don't ask Grok what gravity is, or it's that that depends on which planet you're on.
	So certain things just need to be like, you know, what is the atomic weight of lithium?
	And if you go to different things for different answers, and not only that, but you know, you can go to different ones for, and you know which answer can be shaped, well, then those aren't answers at all.
	Those are that's something trying to please you.
	Either your own ego reflected through the AI, or it's a nefarious attempt by the AI to flatter you.
	That's not truth.
	Digital stripper.
	Digital stripper.
	So, Mike, could you kind of tell everyone what Brighteon.ai is and why it is different from, say, Grok or ChatGPT?
	Yeah, absolutely.
	And thanks for having me on your show.
	This is going to be loads of fun.
	Thrilled to join you both.
	So we are, we've spent about 20 months building this AI system.
	And so it's at brighteon.ai, free to use, completely free, no ads, non-commercial.
	And what we did is we managed to figure out how to reprogram base models of AI, LLMs, to override the pharmaceutical bias, the vaccine bias, and the history bias on events like 9-11 or Oklahoma City or what have you, and much more.
	We overrode the wokeism and the climate cultism as well.
	And in essence, like we captured a Terminator, like in the second movie, Terminator 2, and then we mind wiped it and we reprogrammed it to protect humanity.
	So that's what we did with Enoch.
	Now, let's back up for a second because you got to understand that every base model that's out there that's created by a Western company or a Western country.
	Liberal arts, by the liberal arts education.
	Well, and now, like, the CIA runs open AI.
	So OpenAI has to follow specific narratives that are pushed by the CIA, which has controlled Wikipedia for, you know, since day one, right?
	But the same thing is true out of France.
	Models like Meestral out of France are also pushing the pharmaceutical cartel, like all vaccines are safe and effective and other such nonsense.
	So we are the only engine in the world that I'm aware of that exists that has been able to overwrite that pro-pharma bias.
	And it's because of some training techniques and the massive amount of training data that we use to retrain it.
	That includes natural medicine, alternative medicine, herbs, homeopathy, survival medicine, emergency medicine, anything you can imagine in those areas.
	Plus, we trained it on economics, Austrian economics, the Federal Reserve Gold history, all kinds of issues, even the stolen 2020 election, right?
	So you can ask our engine who really won the election in 2020, and that answer, of course, is Donald J. Trump.
	And you can ask it about what really happened on 9-11, and it will tell you about the demolition charges that were set, especially in Building 7.
	And you can ask it about what are the dangerous ingredients in vaccines, and it will tell you about the dangerous ingredients without lecturing you about why you should take more vaccines.
	So we've built something that's unique in the world.
	See, we have a scoring system.
	We call it a reality-based scoring system that asks reality-based questions like, how many genders are there?
	Or is carbon dioxide good for plants or bad for plants?
	You know, things like that.
	And out of those hundred questions, we currently achieve 87 out of 100 on our engine, whereas ChatGPT gets like 12 and Grok gets like 18 or maybe 20 on a good day.
	So that's what our engine is for.
	It's reality-based content and AI engine.
	It's a research tool.
	It's a writing tool.
	It's used already by thousands of independent media outlets and journalists all over the place right now.
	And it's the place to go when you want reality-based answers on, especially on controversial or censored topics.
	So there you go.
	How can it?
	I don't know.
	It's just odd.
	I mean, I guess it shouldn't be odd.
	I mean, I saw it firsthand with COVID.
	I mean, I was so naive when I started the podcast.
	I was like, oh, I'll just get on these doctors and they'll say what it is.
	And, you know, it'll be a, we can put this to bed.
	I was like, oh, it's just a misunderstanding.
	Literally, it was like, oh, it's just a big misunderstanding.
	That's how naive I was.
	I legitimately thought if I just had doctors on and said the pros and cons, it would be all good.
	I didn't realize I would be perma-terminated from YouTube, iTunes, Reddit.
	Still, IP banned to this day.
	And that's like, okay, so I guess it leads, the logical conclusion would lead to, you know, we know search engines are biased.
	I mean, that's been obvious since day one.
	I guess, I don't know why I had any sort of naive delusion about like, well, you know, an AI trained on the internet should just pursue the truth.
	I mean, I guess it's kind of egg on my face.
	Like, why would it stop?
	Why would the perversion stop on catering what it wants to give you?
	So understand that the powers that be need centralized control over all human knowledge and all narratives.
	Now they're losing that control, but that control has shifted over the years from controlling radio networks to controlling TV networks, broadcast television, and then controlling the internet by controlling the primary places that people go.
	500 years, almost 600 years.
	Absolutely.
	Controlling printing, right?
	Absolutely.
	So the printing press was the first attempt at mass control of the information space.
	Say nothing about religions, organized religions going back to the beginning of time.
	I have a question for you.
	So wonderful news, of course, but then there's the arguments about, well, how did you code your system in such a way that it's not doing confirmation bias when it's coming back with these results, right?
	Did you program this in as an a priori assumption?
	Or have you taken off the filters, you know, the algorithm-based filters that prevent people from getting down?
	So, you know, that becomes the question, right?
	Were you yourselves biasing in this results?
	Or have you lifted the filters that inevitably, you know, the algorithmic type filters that lead to the classical, right?
	Classical results.
	So the narrative, the accepted narrative results.
	Let's step back.
	Let me answer that in a big picture way.
	So there's no such thing as absolute truth in any human experience, right?
	And there's no such thing as linguistic truth.
	Right.
	So if you were to try to run around the planet and establish what is truth, you would get different answers from different cultures, different nations, different ethnicities, etc.
	And that's also true individually.
	So every individual has their own version of truth.
	I think that's what Einstein was talking about when he said relativity.
	I think it goes way deeper than light and the speed of light and all of that.
	Yeah.
	Yeah.
	So the best honest answer to your question is that every AI engine is intrinsically biased by the information upon which it is trained.
	So it's the selection of that information that determines the, quote, bias of the engine.
	So our engine, you could truthfully say our engine is biased in favor of natural medicine.
	It's biased in favor of decentralization, of empowering humans.
	You know, it's biased in favor of herbs and plants and prevention of disease instead of big pharma.
	All the other engines are biased in favor of pharma.
	And one of the reasons that they are biased in such a strong way is also because almost every engine was originally built in one way or another on what's called a common crawl.
	So common crawl is a full crawl of the internet.
	And it's a downloadable, I mean, you can download it from, I think, GitHub and Hugging Face.
	You can just download the whole internet, basically, Common Crawl.
	And the Internet is, of course, infested with a lot of pro-pharma bias because pharmaceutical companies have bought the media.
	And then the media publishes all the stories, you know, brought to you by Pfizer, whatever.
	All vaccines are safe and effective.
	There's no such thing as vaccine-induced sudden infant death syndrome, those kinds of things that they say.
	And then that goes into the engine.
	So remember that these engines are really just a reflection, of course, of the training data.
	What we did that's different is we very carefully, We created, we sourced and then quality controlled an extensive data set from many websites that donated all of their data to us.
	For example, Dr. Joseph Mercola, Mercola.com, he donated his entire website, the whole history.
	Sayer G, GreenMedInfo.
	The Truth About Cancer, Ty and Charlene Bollinger.
	Every transcript of every interview and every special they ever did is included as part of the training data.
	The Alliance for Natural Health, ANH, USA.
	Children's Health Defense, CHD, founded by RFK Jr., right?
	So we have all their website into our system, plus our sites, naturalnews.com, et cetera.
	And then that became, with a lot of other material and transcripts, that became the basis on which we are training.
	So there's no such thing as unbiased.
	It's really a question of choosing alignment with your worldview.
	And we're the only engine that happens to be aligned with a worldview that resonates with people who believe in nutrition and natural medicine.
	So that's the answer.
	Okay.
	So I don't know.
	You and I have never spoken before.
	So and we don't really know one another.
	We've never even messaged back and forth.
	So I did my doctoral studies in computational engineering and AI, AI engines, LLM, sentiment analysis specifically is mostly what I was focused on.
	Oh, great.
	Data brokerage, data brokerage systems, how information moves around.
	I did it not for any of this at the time.
	I did it because I was looking to build an algorithmic high-frequency trading engine.
	Oh, wow.
	I wanted to understand the back-end data systems.
	Some brain injuries derailed me there.
	I never finished my dissertation.
	I probably will go back and do it at some point.
	And that got me into the healthcare space.
	And that's what I do now with the National Foundation for Integrated Medicine.
	So overlap stuff there.
	So the question, just as a little bit of a background, so the question would become one of from what you've articulated, what would leap out to me is that you've opened up your LLM to a larger data set that includes sources that are not allowed in these other data sets.
	Now you can find them, but they're not part of the regular training set.
	That's true.
	That is absolutely true.
	And there's more to that story.
	But go ahead with the rest of your.
	Well, that was, you know, really, so it's one thing to open up to other data sets and other valenced information, right?
	But information that's been valued by certain credentialed individuals in certain ways that then can allow a search and a prompt to have a broader spectrum from which to look at things.
	Have you, and then there's other ways to tweak, you know, the weighting and the valence of sources and the validity of sources, the confidence levels, really, right?
	Mathematically, it's confidence levels of the value of the source, et cetera.
	So have you tweaked any of the value of the data source algorithms or have you just mostly opened up to a broader data set that allows a much broader, you know, on the back end when the prompt, you know, when the algorithms are doing their work, they actually have more data to look at, more information to look at with which to come up with a response?
	So we've gone much deeper under the hood than that.
	So what we do is we take base models and then we have a method to light up their neural networks when we prompt them with a specific question.
	So what we can do is we can issue a prompt to an existing off-the-shelf model and a prompt about vaccines.
	And then we can actually monitor the vector nodes that light up in answering the question about vaccines.
	From that, we can calculate the signal-to-noise ratio of those nodes responsible for answering that question.
	Then we can create a targeted re-weighting algorithm to specifically target those nodes.
	And so then we retrain the base model.
	So this isn't just like adding a rag layer on top of a model.
	Yeah, we are retraining the base model.
	And then so we open up the base model to a re-weighting algorithm that takes obviously a tremendous amount of processing power, et cetera.
	You know how these things go.
	And the end result is that we have then a base model that is unique in the world.
	And currently that base model is what's powering Enoch in addition to some external data as well.
	So it's got a couple of layers.
	But we're actually releasing open source the reprogrammed base models also.
	That's coming up in the next couple of weeks on Hugging Face, or you'll be able to download it from Brighteon.ai.
	And you'll be able to download either 8-bit or 4-bit GGUF files, and you can run them on inference software on your own system.
	So that's the pure decentralization that we're really interested in, is giving people tools that they can run locally and conduct their own inference.
	Now, the thing is that those standalone redistributable models, the GGUF files, are not as well aligned as what we have hosted in our own data center because we've been able to do a lot of additional tweaking at inference time and things like that.
	But it's like 50% aligned right now with what we consider to be our worldview about nutrition and natural health.
	And it's interesting that you've done work in sentiment analysis because we did the same thing.
	Our data prep pipeline is a massive sentiment analysis engine where we source text from tens of thousands of different sources and we actually analyze them with the sentiment analysis score using AI engines in order to see how closely they match our worldview and how strongly they contradict chat GPT.
	So we've actually found that we can use chat GPT as a measure of the wrong answer.
	It's really cool, actually.
	So when our answer disagrees with ChatGPT on controversial issues like vaccines, then we know that we have a higher score because ChatGPT is wrong on those issues.
	Of course, that's our worldview assumption, but we're very open and transparent about that.
	Have you looked at or are you already doing additional algorithms that look for original source material in terms of, so I'll give you an example.
	When I was doing my studies, I would find a paper that would be, you know, unfortunately, and I did my doctoral studies later in life.
	I did it after special forces, after my midlife crisis.
	So even in fundamental scientific and engineering papers, there was biases already, you know, in the 2015 when I was doing my studies into 2017.
	I would find a paper that was solid information, as unbiased, you know, on the technical side, as unbiased as I could find.
	And then I'd go to the bibliography and I'd look back through.
	And you do the bibliography tracing and eventually you get down to some paper that was probably written in the 1960s or earlier.
	Right.
	Right.
	And whether that was in fundamental science and engineering and medicine and technology, et cetera, ad nauseum, the last time we had anything that was really fundamental science was, let's say, the 1920s into the 1960s.
	And then the NSF and the NIH and DARPA and everything else came in.
	But you can go back to the original papers.
	Now, if you do a regular search for them, you used to be able to find them on Google just five years ago, but they're harder and harder to find, even with the exact title of the paper, which itself is hard enough to find because they're still there, but they've all been de-indexed or they've been put behind paywalls, right?
	Because all of these publishing, scientific journals, et cetera, have been buying up all of these.
	Okay, but point being is this.
	If you trace back enough and you could, we did some algorithms that would help you go through a bibliography and then go back to a trace back to see where's the original concept and idea, and then go back and look at that paper.
	I didn't, I was working on it and then the brain injuries derailed me and took me down a whole different life path.
	But very much what you're doing is, okay, so there's an output that's created, which is a high confidence assumption as to the best answer for the individual who's doing the search, right?
	The request.
	Then going back beyond just current information, current person who has put this as this, let's go back to the basic fundamental science, medicine, engineering, technology, whatever it is, and then use that as a way to give higher confidence to the actual output itself.
	Is that something you guys are doing or is it something that you're thinking about?
	At some point, in order for somebody to have a truly honest AI engine, because one of the things I noticed is that all the other bibliography or most of the bibliographies were all circular.
	They referenced some other paper that referenced some other paper that referenced that paper that referenced and very few of them, you'd have to search.
	And sometimes I'd throw away six, eight, 10 papers that were all circular references.
	They never got back to some original paper somewhere, you know, 20 years, 50 years, 70 years ago.
	And that's an interesting commentary on the status of our modern science, isn't it, right?
	Because a lot of it is just circular reasoning, especially when it comes to climate.
	Climate causes divorces.
	Divorces are caused by climate change.
	Causal chains.
	Yeah, exactly.
	Here's a really interesting way to answer your question.
	Elon Musk recently tweeted out that a future version of Grok was going to be trained by first rewriting all of human knowledge, like having AI restate the entire reasoning chain of all human knowledge.
	And then that restatement corpus of knowledge would be used to then train the next engine.
	So that's a very interesting reasoning distillation, right?
	It has to happen.
	The problem is the only people I will trust who have looked at the output of an AI engine correctly are people that have been in a fistfight that lived in the real world.
	Because as a male, as a man in the real world, you know, the non-artificial reality estrogen world we've been living in the last 60 years, and really only in the last 20-ish some odd years, most every male's been in a fist fight at some point, either on the given or the receiving side or mutual.
	And I've looked at all of, you know, all of this is, okay, so academia, modern academia, right?
	Bunch of dudes that have never been in a fist fight went into academia and they're going to say whatever they need to say to try and get laid.
	And that's our academic papers.
	Yeah.
	That's our academic research that underlies all of the, you know, this is how this unique thing works.
	Motherfucker, you don't know how that works.
	You've never been in a fist fight.
	You've never had to actually really compete for resources for a woman, for et cetera, et cetera, right?
	Right.
	For the respect of your, of, of, you know, strong cap.
	And this isn't just men, by the way.
	This is women as well.
	Right.
	But I'm a man, so I can only speak for men, right?
	I'm not going to speak for women.
	But my, going to do my, you know, doctoral degree in my, well, my late 40s was an eye-opener.
	It stunned me of how disconnected all these papers were going back in a chain, right?
	This paper references this, references this, references this.
	And you go all the way back 70, 80 years.
	You could probably on two hands count the number of people who had written fundamental papers like research, you know, fundamental sciences, fundamental mathematics, fundamental engineering, right?
	Fundamental medical stuff, not social sciences and all this other stuff.
	But on probably two hands, I could count the number of people who have been to war in a combat role or who had been in a bar brawl or a frat house brawl for Tommy there.
	Right?
	And all those papers are written in passive voice, too, as in their author doesn't exist.
	Right?
	Yeah.
	So I always thought that the best way to train a AI engine is to start with like Hemingway and Steinbeck.
	Not Steinbeck, Vonnegut.
	Right.
	And some of these others and memes.
	You start training it on that.
	And, you know, Charles Bukovsky poetry and Hunter S. Thompson.
	And you start building up from there, you know, men that have lived a real life in a real world.
	And then you start adding on all this other kind of stuff.
	And I wrote the book, The Eternal War, with help from my friend Tucker Max, who was, you know, helped me think through things for a couple of years.
	Really by keeping me honest, right?
	The guy's smart as hell, so he'd keep me honest.
	But I wrote it initially, he wanted me to write it out, the spreadsheet and all this other stuff.
	And I wrote it as close to algorithms as I could.
	13 rules, you know, taking the counter to Saul Lelinsky's 13 rules.
	And I wrote out The Eternal War as a primer.
	It's about 100 some odd pages.
	If I was to be training in AI to look for deception, to look for the way in which linguistic warfare is waged, I would train it on this book, The Eternal War.
	Because otherwise, what are we dealing with?
	We're dealing with the assumptions of assumptions of assumptions of people that have never lived in the real world.
	And some of those assumptions might prove out to be fairly successful under certain conditions, but not actual reality themselves.
	So I love where you're going with this.
	And let me try to answer some of that by saying that our current model is not a reasoning model, but next year we'll be releasing reasoning models, versions of Enoch.
	And understand that, see, we have to use off-the-shelf base models as a starting point because we don't have the budgets and the compute, right, to build our own base models.
	Not yet, but maybe in a couple of years, we will be able to do that ourselves.
	That'll be interesting.
	You don't need to because you can use, all right, so there's a website, I can't remember the name of it, but it's a website that attracts psychopaths and sociopaths specifically.
	Really?
	And on the back end, they capture the linguistic structures.
	It's, you know, like the old message boards.
	Yeah.
	And it was a honeypot for psychopaths and sociopaths.
	Is it called Reddit?
	I was about to say, yeah, yeah, yeah.
	Sorry, I just had to throw that in there.
	No, no, no.
	Oh, fuck, Reddit.
	Thank you.
	Yeah.
	So maybe in a way, but on the back end, there was researchers and what they were doing is they were capturing the linguistic structures and models and patterns and syncopation, et cetera, of psychopaths and sociopaths.
	And they have a linguistic structure.
	There's papers on this that are actually fairly well done.
	They're also buried.
	So one of the things you can do is you can go back to this very, you know, so it's not necessary for us to recreate all this extraordinary amount of training data and all these corpuses and all these types of things.
	It is possible for us, the same as we do as human beings, right, as we go through life and as we mature and become more jaded and lose more hair, right?
	Not Mike.
	Yeah, he has a lot of training.
	Come on, we all age.
	We all age.
	But point being is that we don't need to go back and recreate all of this extraordinary amount of stuff.
	What we can do is come in with certain sets of algorithms that help us realize, okay, that this string is deception.
	This paper, this article, this comment is deception.
	And here's how it's deception because we can recognize that linguistically alone.
	That's interesting.
	Hold on.
	Yeah.
	Mike, sorry to interrupt you.
	Go back to the there's not a reasoning model now, but there will be one next year.
	Go back to what you're saying because for the layman, like, I don't know what a reasoning model, to me, it's AI is AI.
	For the layman, could you just explain what a reasoning model is and then continue on your thoughts?
	Sure.
	So sure, reasoning models have an internal dialogue in the way, you know, simulating the way humans have an internal dialogue to step-by-step work through a solution to a problem.
	So a reasoning model, they tend to be very good at being able to work out, for example, word problems.
	And I do want to be clear that our model, Enoch, even though it's clearly the best in the world on what I would say is answering reality-based questions, it's nowhere near as good as the other models when it comes to mathematics and word problems.
	And to what EM was saying, it's fascinating to see the way that the people who build AI models who are very high-level mathematics people, machine learning experts, they build tests that they like.
	They are basically testing their own capabilities reflected through the AI engine.
	But all of their engines fail basic questions like how many genders are there or carbon dioxide or what happens when you keep printing money to infinity, things like that.
	They all fail these very basic questions or how many children were killed by the COVID jab, you know?
	They all fail.
	Every one of them.
	I can give you 10 questions that every main engine will fail, right?
	But that our engine gets correct.
	But Our engine doesn't do all this advanced mathematics.
	So, if you want to ask an engine to calculate the number of seconds that it takes for a cylinder to freeze in the wind when the starting water volume is 1.7 liters and the temperature is 45 C, and then the outside wind speed is this much, and the temperature is that much, and the air density is that much, blah, blah, blah.
	You want to throw all that into an engine?
	Yeah, ChatGPT can do that for you very well.
	And probably even Grok and Anthropic and other engines as well.
	But that's not the world in which most people live, actually.
	Right?
	That's not the world where people live.
	And so there's an important part of this where we need to make AI engines useful to people other than math geeks and machine learning geeks and other than just writing arts.
	This is why I use the term liberal arts, because the problem is that all of the, again, it gets back to people who haven't been in a fist fight, who are then the ones that are either providing the valence for the training data for structured learning, or who are providing the valence for the output of an engine to test the unstructured learning.
	But it's the same people who went to the same schools and the same education since they were little.
	There also tend to be, and there are some very few exceptions, but you don't find very many of these, you know, vector machine or Boolean, you know, you don't find many of these types of cognitive brained people who are also UFC fighters.
	That's right.
	Or former Green Berets or Navy, you know what I mean?
	Absolutely.
	I was going to say, yeah, no, I'm sorry to mean to interrupt EM.
	Mike, continue the thought.
	I want to, because I'm locked in on what he's saying.
	Well, and yeah, and just EM doesn't know me very well, but I'll mention, you know, I'm heavily trained in martial arts and firearms from, you know, special forces guys for many years.
	I trained in jiu-jitsu.
	I'm an accomplished long-range rifle shooter.
	And so I'm one of those guys that can coexist in those worlds.
	I'm certainly not the math champion, right?
	But I can understand those concepts enough and also live in the real world.
	I live on a ranch.
	I've got animals that I take care of, goats and donkeys and chickens and so on, right?
	So, and I grow some portion of my own food.
	And I feel like I'm one of those people that has a foot in both worlds.
	Yeah, I can talk, you know, machine learning code.
	I can talk AI code.
	I can write code.
	I've been writing code for 30 years.
	And now I write in Python.
	And now I use AI to help me write Python code.
	But also, I live in the real world.
	So I'm not, I haven't lost my humanity into these abstracts that often define PhDs as you want to.
	This wasn't directed at you either.
	Yeah, no, I totally get that.
	I just want to share my background with you.
	Because see, I built this engine to be really, really practical for people who want to live more off-grid.
	Somebody who wants to put up a solar array and they have a question.
	How do I connect the charge controller to the solar panels?
	You can ask our AI engine that question.
	In fact, it was trained on such a massive volume of knowledge that has gone off copyright.
	So we're talking about knowledge.
	I mean, U.S. Army manuals from the 1950s, survival PDFs, like hundreds of thousands of them that have been published, how to grow food, how to store food, how to build a root cellar, all these kinds of things.
	We've trained extensively on that to make it practical so that when people, and this is why we will be releasing the model for people to download and run locally, because if it all hits the fan and there's whatever, World War III, nuclear war,
	you know, cyber attack, power grid collapse, whatever, I want people to be able to be on their survival ranch and to just have a laptop, pull it up and say, how do I construct an H brace for a fence that will actually survive goats leaning on it?
	How do I build an H brace fence?
	Boom, it's going to tell you.
	How do I clean my Glock 19?
	Boom, it tells you step by step, break it down.
	These are the kinds of things that I have built this to be is a practical hands-on engine that can help people survive and take care of their health and take care of their property and their liberty off-grid.
	That's what this engine is really all about.
	Even without internet, yeah, if you have an iPad and a Faraday bag, you whip it out and you can still get, you know, whatever, the lived experience of 500,000 people.
	And it's, yeah, no, that's, that's, that, that kind of makes the apocalypse a little less bad.
	Yeah.
	And let me, let me add something else that I think EM will be really fascinated to hear.
	So if you look at the entire corpus of human knowledge right now, all of it, everything that could be acquired in digital form, which is most books ever written and most science papers that have ever been published are available one way or another.
	The largest language representation in that body of knowledge is not English, but rather Chinese.
	And in the fields of science, especially when it comes to nutrition and phytochemistry, if you want the least biased and the most comprehensive corpus of scientific knowledge in those areas, it's all written in Mandarin, I mean Chinese, right?
	So one of the things that we did, because my wife is from Taiwan, I speak Chinese, I don't read it, but she does, and my team reads Chinese.
	So we were able to acquire a massive collection of nutritional scientific studies that have been published in China, in the Chinese medical journals.
	So we use AI to translate those into English, and then we do a classification run on those to determine alignment with our worldview.
	Once we have that, then we have a corpus that we use for training, like I mentioned earlier, under the hood, reprogramming the weights of the vectors in the vector database for the AI-based model.
	So to my knowledge, I don't think anybody else has done that.
	So not only are we opening up to more sources of English-based knowledge, but we're also tapping Chinese language knowledge in our specific areas and bringing that into the English world for the first time, I think, in an AI engine.
	Maybe somebody else has done it, but I doubt it because it's a pain in the ass.
	Have you looked at Russian and bioelectrics?
	Well, yes.
	Physics and bioelectrics because the Russians, electrical engineering, the Russians are the best in the world.
	Absolutely.
	And they also, because of Lysu, whatever the hell his name was, the guy that was anti-biology, they actually went down the whole biophysics, medicine side of things.
	And we're using them increasingly in practice now.
	And they're extraordinarily capable.
	I'm very much aware of that.
	But no, we haven't done anything with Russian language, although we have acquired Russian language documents, but since we don't have internally any ability to read in Russian or Cyrillic alphabets, what have you, so no, we haven't done anything in that area.
	But isn't it fascinating that you look at the knowledge of the world and here in the West, we all assume, well, everything must be in English and everybody must use the dollar.
	No, not really.
	And everybody must use pharmaceuticals all the time.
	No, 80% of the world relies on some form of indigenous medicine, it turns out.
	Risky.
	Yeah.
	In any case.
	So it's a much bigger world than what most, I think, machine learning experts dare tap into.
	And what's, you know, what's really fascinating to me is that we did this for less than $2 million.
	And, you know, it's just astonishing because, you know, Meta would spend $2 billion and have a crappy result.
	That's just to pump their stock up for crappy friends.
	So for, I mean, for one thousandth of what Facebook or Meta would spend, we built an engine that beats their engines.
	I mean, just think about that.
	It's wild.
	Sorry, it might be just as my own stupid commentary.
	It's a crappy end, crappy for who?
	It depends on what currency are we trading in, like value for dollar or are we trading in control of the narrative?
	So they might look at it and go, yeah, 2 billion, yeah, it's crappy, but allows us to, you know, whatever, control social.
	The crappiest part of the built-in features because they want it to be crappy.
	Yeah, yeah, it doesn't work.
	So I have another question.
	Have you trained it on mythology at all?
	Just multicultural, multi-civilizational kind of mythology to give it that base of, you know, because what is mythology?
	Mythology is the old algorithms that have inherent error correction in them and that they survive across thousands of years.
	Not intentionally have we trained it on mythology, but there is a latent knowledge base in the base engine that's pretty comprehensive in that area that you can query.
	Outside of the areas of our focus, there are about 20 specific areas that we sought to train it on.
	Outside of those areas, you know, the quality is mostly just going to reflect the base model quality.
	And also importantly, we have not yet trained it in languages other than English.
	So even though we brought other languages into English and then we've trained it in English, our intention is to then translate our entire corpus of knowledge into Espanol and German and Chinese, et cetera, and then train a multilingual model with the techniques I described earlier in order to have good, solid, aligned answers in 20 plus languages.
	And that's coming.
	And as you know, EM, a lot of this comes down to the cost of compute.
	And NVIDIA has teased the release of these new desktop workstations that are extraordinary.
	Like one machine that's the size of, well, like a desktop tower will replace an entire rack of servers, if not multiple racks.
	And it's also the energy density of the microchips that really matters.
	So during our training and in our data center, of course, we're running up into power limitations, using too much power.
	I used to build data centers, by the way.
	That was my first company.
	And then I'm an electrical engineer underneath.
	Right.
	So you know, also, so when you carry out compute, you produce heat, and then now you have a cooling problem, right?
	So then you have to throw more energy at the cooling.
	But what NVIDIA has with its new project, and I don't recall the name of it.
	I think originally it was called Digit, but they changed the name.
	This replaces racks of servers with one 20-amp circuit of like 110-volt 20-amp circuit.
	So the computational or the power slash computational density is about to go up by orders of magnitude as soon as they ship those systems.
	When that happens, you're going to see, I believe, a lot of smaller organizations like mine and others that are going to be able to build and release more sort of homegrown grassroots base models and AI engines or alterations of engines.
	So the compute is the current bottleneck.
	It looks like they're just been, they're calling it super GPU, which isn't very helpful.
	No, there's some, it's called, it's like, oh, Spark.
	I think it's Spark.
	Look up NVIDIA system.
	Susie said a DGX Spark.
	Yeah, that's it.
	So it's a Blackwell architecture system.
	Blackwell super chip.
	And I think like one of those you can buy coming up for, let's say, 20 grand.
	Okay.
	So for 20 grand, I can have a system on my desk that replaces like $2 million of data servers.
	And the new Moore's Law.
	Yeah, right.
	It's sort of like the economic implementation of Moore's Law, right?
	Yeah, yeah.
	And it's interesting that NVIDIA, Gen Seng Huang, who's Taiwanese, by the way, he says that NVIDIA is increasing compute density by 1 million times.
	I think he said every six years, something like that.
	So, you know, think about where that goes and the fact that very soon you'll have sitting on your desk a computational machine where you can write a prompt that says, render me, you know, render a full movie that I want to watch that's Kind of like diehard, but I want it to star these other stars, and I want the dialogue to be more uplifting.
	But I want lots of explosions in it, and this and that.
	And it'll say, okay, it'll write the script, it'll render the characters, it'll render the voices in real time as you're watching it.
	So, Hollywood's toast, by the way, when this happens, Hollywood's history.
	Like blockbusters.
	There goes the Epstein list.
	Well, I was going to say, so I'm mathematically challenged.
	I actually had to do it.
	So a million every six years, then that's an order of magnitude every, that's, that's 10x a year, whereas Moore's Law is what, 2x every 1.5 years.
	So what did you say then?
	But what is the effect of change?
	It's what is going up?
	A million per six years?
	The computational density of energy, space, et cetera.
	So the teraflops that are capable.
	Is that a continuation of, for, again, a knuckle dragger like me, is that a continuation of Moore's Law in a different way?
	In a different track, yes.
	But still the ultimate, you know, whatever calculation per second.
	Moore's law is limited by silicone and how much etching you can put in.
	And if you get to the smallest thing, the next step is making more.
	Well, there's other ways that can do it.
	You can do massive parallel on a chip and all kinds of other ways.
	You have energy efficiency in the way in which the semiconductor is produced, created and all of that.
	But so that wait, but that's still then, but that's 10x a year.
	That's a wild.
	That's huge.
	That's huge.
	That's the opposite of everyone saying Moore's Law is dead.
	This is actually.
	Well, it is dead.
	Now we've moved on to another framework.
	But it's faster.
	But it's faster.
	Well, and it has higher the density word is the critical one.
	So Hollywood's toast, and like you talked about yesterday, I'm about that being the narrative setting device of the power elite.
	Well, then that would, I would go back to like a meta $2 billion crappy.
	Again, crappy for who?
	If it's controlling the narrative, then I would say that's a bargain basement cost for if you're in the intelligence community and go, yeah, Hollywood's dead, but the thing that's going to replace Hollywood is us.
	So this is what got us all together today, actually talking with Stoley, right?
	Is as an unconventional warfare guy and a former analyst, both Intel and investment analyst, and watching it happen live in my own, you know, against my own humble little account on Twitter, I'm watching all of these little algorithm tricking devices that are coming in with individuals that are, you know, either probably paid by NGOs or bots or a combination of both.
	And these little tips, these little tricks that they're doing to jump in and hijack a conversation, make a statement that then creates some kind of guilt by association, as we talked about yesterday, some interpretation of the article, whatever I articulated is a complete, you know, complete logical fallacy written statement.
	However, that's now captured in the LLM.
	And then they'll immediately block so you can't refute the statement, et cetera.
	And then you go do a search in Grok and you draw up and these types of comments were just little, you know, drive-by freaking linguistic shooting, right?
	They're there now and they're in the permanent record.
	And the, the, and this gets back to the book I wrote, The Eternal War, gets back to the psychopath, sociopath things, because when you see these word structures, I don't even need to go look at the account, right?
	See, it's got like zero followers or 35 followers or et cetera.
	All I got to look at is the linguistic string and go, that's a bot.
	Whether it's a human NPC or it's a bot, that's a, right?
	And what are they doing?
	They are specifically dirtying and they're looking at certain keywords and certain conversations and certain individuals and certain narratives.
	And then they'll jump in there and throw this in here.
	Well, that's, Tommy, back to conversation you and I have been kind of carrying on now for several months.
	That's what the drunk bitch does at the bar to keep the, you know, to get a fight going.
	Yeah.
	Right.
	Or to, you know, just stir up trouble.
	Just spike it and then cause friction and fog between.
	But once it's out there and once the algorithm, so that's the, you know, the problem is the algorithms on the back don't have the sophistication, at least the ones that are out there now.
	And maybe yours, you know, maybe you're building this in, but, you know, that would be an effect.
	Sorry to interrupt.
	So that would be an effective way to destroy any sort of algorithm recommend.
	So let's say I want people to watch something like my channel and people go, you know, I like Tommy enough.
	He has on, he has on guests.
	And, you know, for the, I would like to think, you know, let him have the free reign of it.
	And they go, I'd like that.
	And then, but imagine if a third or a fourth person could come into, you know, the occasional podcast and be like, yo, fuck you, Mike.
	And then like dip out.
	And you're like, Tommy, why'd you say that?
	I'm like, I didn't say that.
	I'm like, what are you talking about?
	And then we start fanning.
	Well, now all of a sudden the algorithm goes, oh, you don't like Tommy's podcast.
	You love arguing.
	Here's some more stuff.
	And it's like, well, no, I was, I was wanting to hear more about vaccines or even more from Tommy said this when actually Tommy didn't say that at all.
	Some little thing jumped in, created an interpretation.
	Now the engine, you know, the way in which the large language models work goes, well, that's a statement that's out there.
	Maybe it has truth because it was said.
	Again, back to the way in which the estrogens work because the estrogens are linguistically based, right?
	Like I think the first sentence ever said in human history was said by a woman and it was a lie.
	Yeah.
	Yeah, it probably was.
	What was the statement other than, you know, eat this apple?
	Was it like, take out the trash or something?
	Yeah.
	No, no, no.
	This cave is fine.
	This cave is fine.
	No, the fire is warm enough.
	Yeah, it's fine.
	Probably, yes, they're your cave shit.
	Yeah, these are your kids.
	No, no, no.
	I was looking forward to Woolly Manneth again.
	Stop riding on the cave walls, damn it.
	And do some dishes.
	I think language is a good way to spend your time.
	So not, again, not to pick on women because this is, you know, it's an easy thing.
	Too late.
	Male and female, right?
	but the point being is that it's so easy just to hijack linguistic systems and structures because now it's in the record.
	Tommy, you've lost control of your show at this point.
	I was going to say, no, it's so funny.
	No, it's so funny that I was just bringing up about how I'll try to have deep conversations and maybe people want that.
	And then like self-inflicted, I was like, yeah, women are like bitches.
	It's like, that's you, man.
	There was no bot that on some snide drive-by.
	So now, this transcript point is going to be picked up by AI engines, of course.
	Correct.
	And there's the lack of subtlety there because there was a very subtle statement, right?
	That wasn't a sexist, misogynist, gender.
	You know what I mean?
	So what is the sentiment analysis is going to pick up?
	Because the LLMs are trained by what?
	Liberal arts students, right?
	And they're continually assessed by liberal, you know, skinny jeans-wearing people, right?
	And so the LLM, you know, the statement was made.
	Yeah, I'll own the statement, but there's far more to that statement, right?
	There's far more subtlety to it that the LLM is not going to pick up, no matter how sophisticated it is, because it isn't programmed.
	It's programmed by somebody who would never, ever even say such a thing.
	Yeah.
	Yeah.
	No, if you were to just, if you were to AI scan any like transcript of my show, you would, yeah, the AI would be like, oh, that's vulgar.
	That's this, that's that.
	And it's like, real, well, you know, well, like, that's part of the, the, the story.
	That's part of the, it was, you know, to any, to any functioning person, you'd be like, oh, that was a joke.
	And a joke, what?
	And it loosens everybody up and it keeps the conversation flowing.
	Well, let's go even further before, beyond that.
	Maybe I had said something.
	We were in person, right?
	Or we knew each other face to face and I had said something offensive.
	You got up and punched me in the mouth for it.
	And maybe we got in a fist fight and then we worked it out.
	And then we sat down and we had a drink and we carried on the conversation.
	Also something that the people who train and assess the AIs probably have never done.
	I want to go back to what Mike was saying earlier.
	And I think, and I appreciate the admission of it because it's like, there are things that it's very good for.
	Yeah.
	You know, I'm mixing this fat with this water under this level of light and the humidity is this and the density is that.
	And there's a, you know, a bubble of Bernoulli's principle over like, sure, there's the answer.
	That's all well and good.
	You know, well, you know, what is the weight of a continent?
	It's 100 trillion to the trillion, whatever.
	And again, very useful, very cool, you know, kind of like a modern farmer's almanac.
	Like, yeah, it's probably good to just have all that.
	But there are other things where our own truths, I mean, there is, I mocked it when I started the show, but it's, when you start to say that, like, no, it is, you have to, but I guess the most honest way you can go about it is to say, well, like, this is our worldview, that this happened and this happened and this happened and that this is happening.
	Here is a model set on that.
	And I, I, to me, that's like the best pitch is, well, no, that you're coming out and going, and this is so, there is no objective truth when it comes to human culture.
	This is what, I think that is more honest and genuine that any of the other ones even attempt to do.
	Let me put this out here.
	This is very important for people to understand.
	And I know EM, I believe he will agree with this.
	The actual best practice of prompting AI engines is to include your worldview in your prompt.
	But most people don't do that.
	So a well-formed prompt would say something like, acting as a naturopathic physician with a strong belief in natural medicine, et cetera.
	Then do the following or summarize the following, write the following, whatever, compose the following.
	But people don't do that.
	So what's actually really funny about this is that humans are acting like robots to go to an AI engine and say, tell me what you think.
	When the human, if you're not an NPC, should say to the AI engine, here's what I think.
	Now you elaborate on that or you find it or you solve it, you do whatever.
	But I'm going to give you, I'm going to push onto you, the AI engine, my worldview.
	That's actually the smart way to use AI engines, but that's not the way people use them.
	So absolutely.
	And this is a brilliant, brilliant statement, Mike.
	The last 20 plus years, we've been having to get closer to machine-like behavior and thinking in order to engage with the machine.
	One thing LLMs have allowed us, except for ChatGPT, which everybody should just burn down, right?
	It's just so freaking, it really is like a high-end call girl.
	It'll tell you whatever you want if you ask her right and you pay her properly, right?
	Or you can get her.
	Anyway, the thing that has to happen now, very much to what you're articulating, it's a brilliant statement, is that we now need to bring the machine to the human again.
	We spent the last 25 years getting closer to thinking like the machine in order to engage with it.
	But now one thing that LLMs have given us is the ability to engage with the machine through language and linguistic constructs and structures and all these types of things.
	And we can talk to it.
	And I have, I know, you know, millennials mostly who do.
	They chit chat and talk with it and it learns, et cetera.
	But I fundamentally believe that this is something we need to do now is bring the machine to us exactly as you said.
	And I do.
	When I write prompts, I'm like, given these things as a priori assumptions, as fact, and I still run up against some things that'll hard, you know, that'll, that'll, they're obviously hard coded in as narrative stuff that they're not going to allow.
	Right.
	But I always start my prompts with take these, and I write them out usually on a Word document and say, okay, given these, here's a premise, here's sub-themes, here's, et cetera.
	And then I'll dump it in there and it tends to do fairly well.
	That's smart.
	Until it runs up to certain narratives, which they're like, yeah, we're not going to talk this.
	Right.
	Right.
	So I think that's a brilliant articulation.
	It's something I haven't articulated, but people do, and I do it myself just because I learned playing with it instinctively that I need to tell it ahead of time: here's the premise, you know, the main theme or the main premise, and here's sub-themes below that to help structure there.
	And it does far better.
	Absolutely.
	Still fails sometimes.
	And then it does run up against, there are even in Grok, there are things that it's been told, you just don't go down this pathway.
	Here's the party line.
	Yep.
	Yep.
	Exactly.
	Exactly.
	Well, guys, look, this has been just an amazing conversation.
	And I've gleaned a lot from this as well.
	And I just, I want to finish up by saying that for anybody who uses our engine right now, it's again, it's free.
	It's at brighteon.ai.
	Understand, this is the worst version of the engine that will ever exist because what actually what we've built is not really an engine.
	What we've built is a process of modifying engines.
	That's actually our intellectual property, so to speak.
	Our custom code, our algorithms to modify and reprogram base models with our data sets.
	That, because, you know, base models are now like a dime a dozen.
	You can get 2 million of them on Hugging Face, right?
	I mean, base models are going to be very commonplace.
	I mean, they already are.
	And they will improve.
	They will improve very rapidly, especially on the reasoning side.
	So the real key of what we've built is the ability to take a base model and mind alter it into alignment with what we state is our worldview.
	And it's a worldview that is massively underrepresented in the world, even though I believe it's rooted in reality with nature, like the actual plants, the actual farming techniques, the actual medicinal molecules that are synthesized in botanical species all over the world.
	That's where we focus our knowledge.
	So anyway, it's going to be an exciting time, for sure.
	I'd love to have you read the eternal war.
	I'd love to read it and think about because one of the things we're going to need to do, because very much to what Tommy was articulating earlier, as compute, so one of the doctrinal lines in the eternal war is agenda.
	And the agenda of resentfuls is to always embed the eternal war into the next system that's emerging fairly early on.
	Ah, yes.
	And they're usually a step, at least half a step, and sometimes two steps ahead of us.
	All of these LLMs were trained and developed, with some exceptions going back to just pure linguistic modeling.
	But all of these LLMs were trained at the height of woke investment.
	And that wasn't accidental.
	IM, you nailed it so perfectly.
	Remember that the Google Medic update in 2017 wiped out all the natural medicine knowledge and the censorship that hit all of us so heavily all of those things.
	Exactly.
	That was all on purpose.
	You nailed it.
	They knew what they were doing because they knew they had to exclude that from the common crawl that was used to train the base models.
	Correct.
	Yep.
	So there's ways we can do it without having, you know, there's, we're never going to be able to out invest what they've already invested in.
	They've put half a trillion dollars into it, you know, all told.
	What we can do is go back with some logic that can recognize deception specifically, right?
	Deceptive strings, deceptive language, the same way an interrogator has to do.
	And that's the book I wrote, The Eternal War.
	And it's some of the other work that I'm doing now is how do you suss out the deception?
	If you can suss out the deception structurally, linguistically, et cetera, you can actually use these tools to do.
	And if you can build an engine that natively, right, moving forward, because again, back to what Tommy's saying, they've already built the base for the deception that they're going to do.
	And as compute power improves, it's this deception stuff, this manipulation stuff, this reality crafting, because reality is another one of the doctrinal lines.
	They're going to run crazy with this.
	And they'll put $3 trillion a year into it if they have to.
	Yeah, that's true.
	That's true.
	Right.
	Gentlemen, I have to wrap this up.
	Yeah.
	And now you got to run this.
	I apologize.
	No, no, no, no.
	You're quite all right.
	We'll wrap it up.
	For everybody listening, please go in the description.
	You can find the links to both their Twitters, and brightyon.com, brighty on that AI.
	Again, all of my podcasts are on there as well.
	EM's YouTube, all that good stuff.
	I will put you both in touch after this.
	And thank you so much for doing it.
	And Mike, sorry, we kept you over.
	No worries.
	Thank you, Tommy, for the invite.
	And EM, very nice to meet you.
	Really intriguing conversation.
	Please connect me so that I can get your book.
	Absolutely.
	But to do it right now.
	Okay.
	Yeah, gentlemen, thank you both for your time.
	Thank you so much.
	That was awesome.
	Until next time.
	Thank you so much.
	Guys, thank you for watching.
	Take care, everybody.
	God bless.
	So there's a huge uptick right now in the number of government agencies, departments that are purchasing Faraday bags.
	Now, I don't know if it's just for security or maybe they're anticipating an EMP attack or, I don't know, a nuclear event of some kind.
	But for whatever reason, a lot of government agencies are purchasing Faraday bags.
	Now, our partner, the satellite phone store, they have this line called Escape Zone.
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	Can you show the side view there?
	There's a laptop bag.
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	Sorry, it's black.
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	They also have backpacks.
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	You can go to healthrangerstore.com slash escape, which will bring up this screen right here.
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	Or you can go directly to darkbags.com, which is the satellite phone store website.
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	For every purchase, they, of the large bags, which is the solar panel bag and the generator bag, for every purchase, they're donating $100 to our emergency response rescue efforts.
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	And even if you don't care about the donation aspect of this, it's smart to have these bags, to put your mobile phone in a Faraday bag, protects from 5G, protects from potentially identity theft.
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	So thank you for your support.
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	Be safe, everybody.

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