Episode Summary:

The document begins with a casual greeting and a note about cleaning up an area where stumps had been removed to start building. The author then shifts to discussing aluminum oxide and the chelation of it out of the body, emphasizing that aluminum is not a heavy metal, and therefore, heavy metal detox techniques are not effective. The best method to remove aluminum involves using electrically active supplements like vitamin C, vitamin E, and to a lesser extent, vitamin A. Vitamin E, particularly from wheat germ oil, is highlighted as the most effective for aluminum detox.

The author explains the need to ingest pectin, such as apple pectin or modified citrus pectin, to ensure that aluminum bound to vitamins is excreted rather than reabsorbed in the gut. The document discusses how aluminum behaves differently than heavy metals once it is neutralized, emphasizing that without pectin, aluminum can re-enter the circulation. The use of IP6 for chelation is also mentioned, with a caution that it removes essential minerals like copper, zinc, and iron, necessitating supplementation, especially for males.

Further dietary recommendations include consuming non-commercial breads made without aluminum-containing flour, although the author prefers pectin for its thoroughness and ease of use. The process should be continuous and periodic to ensure effective detoxification. The document then shifts to a broader discussion about chemtrails, urging readers to frequently mention chemtrails on social media to disrupt monitoring algorithms and apply pressure on the entities responsible.

The author suggests using terms like "chemtrail deniers" to counter the narrative and advises that consistent and factual communication can alter the algorithms' behavior. The goal is to force those behind the chemtrails to combat the changing public perception actively. The document ends on a hopeful note, mentioning a change in chemtrail patterns observed in May, designated as Chemtrail Awareness Month, and a successful ban on chemtrails in Tennessee leading to clearer skies.

The author encourages continued pressure and activism, expressing optimism about overcoming challenges and uncovering the full extent of the issue. The narrative concludes with a personal note about dealing with a dog and neighbors, reinforcing the informal tone throughout the text.

#Detox #Aluminum #VitaminC #VitaminE #Pectin #HeavyMetals #Chelation #Chemtrails #SocialMedia #Algorithms #Activism #Detoxification #Health #Supplements #WheatGermOil #ModifiedCitrusPectin #IP6 #Copper #Zinc #Iron #Diet #NonCommercialBread #Awareness #Tennessee #ClearSkies #EnvironmentalIssues #PublicHealth #Biohacking #Nutrients #Toxins #AwarenessMonth #Community #HealthTips #OrganicLiving #NaturalRemedies #PreventiveHealth

Key Takeaways:

Aluminum detox requires specific techniques different from heavy metal detox methods.
Vitamins C and E are crucial for aluminum detox, with pectin needed to excrete aluminum from the body.
Continuous and periodic detox efforts are necessary for effective aluminum removal.
Frequent mentions of chemtrails on social media can disrupt monitoring algorithms and apply pressure on responsible entities.
Consistent and factual communication can alter public perception and the behavior of monitoring algorithms.
Tennessee's ban on chemtrails has resulted in clearer skies, demonstrating the impact of activism.
Continued pressure and activism are essential for overcoming challenges related to environmental and public health issues.

Predictions:

Increased social media mentions of chemtrails will force responsible entities to combat changing public perception actively.
Consistent and factual communication will lead to a significant shift in how monitoring algorithms handle chemtrail discussions.

Key Players:

Tennessee (State)
Chemtrail Awareness Month (Event)
IP6 (Chelator)

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Detox Aluminum - 05-18-2024

Hello, humans. Hello, humans. Saturday, May 18 it's probably around ten in the morning. Wandered out to do some more cleanup out here. I'm cleaning up my area that's been where all the stumps and stuff had been removed so that we could actually start building.

We'll see how soon that actually occurs. Anybody's guess, really. You know, you get involved with government permits and stuff. Anyway, so about aluminum oxide and the chelation of it out of the body. Aluminum is not a heavy metal.

Okay? So heavy metal techniques will not work. They work half assed, but because some of the aluminum will actually bind with some of the heavy metals in the body. But the best way to get at aluminum is through the electrically active supplements that you can take. So vitamin C and vitamin E, to a lesser extent, vitamin A.

But vitamin A would actually aid the extraction of aluminum in the area of the eyes and so on. But the vitamin e and C are highly electrically active in different ways. Okay, so almost all vitamins are left hand molecules. Vitamin E is a right hand molecule. The best way to do aluminum detox, in my opinion, is to use vitamin E that's derived from wheat germ oil or to use the oil itself.

And then you have to do another component of this, which is the, you have to take pectin. Okay? Apple pectin, modified citrus pectin. It doesn't really matter much, but you need to get some pectin through your gut so that the stuff that the aluminum that's bound up with the vitamins will end up being excreted. Right.

Otherwise it'll just sit in your gut, it'll eventually break down again, and the aluminum will circulate. So not a good situation. Right. Because aluminum is not like a heavy metal. Once it's deactivated, so to speak, in terms of its ionic potential.

Whatever it has that has done that, it's bound to it. And it'll be treated as inert. If the stuff that it's bound to is not repellent to the body, to the point that the body wants to excrete it, it'll just sit there. You know, things like lead, if you get them bound up with stuff like IP six or something, the body wants to get rid of them at that stage. Right.

It doesn't consider them to be a neutral substance. But vitamin C, that's bound to. Or, excuse me, that's. Yeah. Vitamin C bound to aluminum or vitamin e bound to aluminum are considered neutral substances more or less by the body.

And, you know, there's no real active mechanism to get rid of them unless you provide the pectin in the gut. If you use modified citrus pectin, it's modified because they take these long pectin molecules and chunk it all up to an appropriate size that it can actually interact with the blood and the blood plasma and also draw out these materials that way. Now, if you use IP six to do this, it's a good chelator, but be advised, it also takes out copper and zinc and iron. But, so you'll have to, especially if you're male. But everybody, you'll have to supplement copper and zinc.

There's no real need to supplement iron in our society. And if you do, you can cause yourself issues because iron can, too much iron can cause cancer. It's hemochromatosis is the name of it, as a condition. It's not a disease per se. There is a genetic predisposition, but again, it's not a disease.

Okay, so let me see. There are other things you could do. For instance, you know, if you ate non commercial breads, made your own bread with flour that didn't contain aluminum, you could eat a lot of bread and flush your gut that way. The pectin is easier, in my opinion, and more thorough because of the nature of the molecule. So you need to do that periodically.

That periodic, periodically aspect of it has to be nearly continuous. The periodicity of it should be low cycle. Hang on a second. No, come.

Sorry about that dog. Had to be told. Yes, you're a good girl, sweetie. Don't mess with that. Yes, you're a beastie.

Let's see what else. I think that's really about it. For aluminum, it's nasty stuff. They're going to be keeping pumping it into you via the chemtrails. The more we focus on chemtrails, the more we make chemtrails an issue on social media, the more we use that word, the more the algo is affected and the more the powers that be are affected, right?

Because they monitor these algos and how they're reacting to the language they're picking up. And so it's wise to use that term repeatedly, just to keep screwing with the algos and keep putting pressure on the Elohim worship cult that monitors them. And so we can, every time you use the word chemtrails, you're adding to the base of the consensus, so to speak. And that's what, to a certain extent, that's what these algos are attempting to manipulate, to groom, you know, to shape. So you actually alter the behavior of the algos in doing your behavior in a deliberate fashion in a particular way.

So whenever you can mention chemtrails, it's probably wise to do so. The more pressure we keep on them, this is yet another aspect that drains their resources away from their political aims of conquering the planet.

And so you're actually fighting the infiltration of the western republics by bringing chemtrails up in your social media posts and keeping the context factual and accurate and constant every time you mention them. Just, you know, they're a fact. If you're in denial, that's okay. Call somebody a chemtrail denier. You know, they call them climate deniers, so let's call them chemtrail deniers and put it back on them that way.

And we can use the same passive aggressive techniques that they do. So anyway, and this alters the algorithms and how they deal with all of us, they'll have to try and ratchet it down, and then at some point, they're going to have to start actively combating the algo shift in terms of chemtrail understanding within the normies. And at that point, you know you've won, and then you can direct them anywhere you want to go. But, you know, we're in charge now. We just have to be consistent and factual, and we will triumph.

So it'll be good to get rid of the chemtrails. We've only got a couple of them up here today. Looks like a light hazelnut is forming. I think I've noticed a change in their patterns since we've come into May, which is chemtrail awareness month. And I think that actually has made a difference in their spraying activities.

So we'll see. We'll see. Tennessee has banned them, and, oh, geez, they pass along. All of a sudden, all the chemtrails go away, and you have, you know, beautiful, clear days, and all of this, and every other state around you is boxed in with, you know, gray aluminum skies. So, anyway, keep up the pressure, guys.

We're slowly winning all this stuff. We got a lot of crap to overcome, but it'll be interesting to root around in all of it and find out, you know, who were the participants and how it actually went down. Okay, looks like I got to go help the dog fight the neighbors, so talk to you guys later.

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Why Is The Rent So Damn High？ – 04-18-2024

Why Is The Rent So Damn High？ - 04-18-2024

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Episode Summary:

In late 2023, investigators in the Phoenix area from the state attorney general's office began examining apartment rents, which had increased by 76% since 2016. Their findings suggested that despite having different landlords, certain buildings had similar rent increases of around 12% more than comparable buildings with similar amenities. This anomaly was attributed to an algorithm owned by RealPage, a company providing software to landlords for setting rent prices. This practice, according to the investigators, amounted to price fixing via modern technology, essentially forming a housing cartel. Such practices were not limited to Phoenix but were allegedly widespread across various cities and states in the US, leading to over 30 lawsuits filed against RealPage by renters.

RealPage's algorithm allows landlords to input data, which is then used to set rental prices. This method, which is against the law, is claimed to enable collusion among landlords to inflate rents, creating an anti-competitive environment. Traditionally, landlords would compete for tenants, balancing rent prices to avoid vacancies. However, with RealPage's algorithm, confidential data such as rent prices and lease expiry dates were shared among competitors, which allowed the algorithm to recommend prices aimed at keeping the market at its peak, thereby controlling rather than reflecting market dynamics. This has exacerbated the housing affordability crisis in cities like Phoenix, where rent has increased by 76% since 2016.

RealPage's system was structured such that landlords had to justify deviations from the algorithm's suggested prices, and RealPage could reject these justifications, maintaining high rents. This led to a tangible impact on tenants, including evictions and homelessness. RealPage openly advertised its ability to increase revenue for landlords by 2% to 7% through coordinated price increases, irrespective of occupancy rates. This strategy was evident in Phoenix, where rent hikes have significantly displaced residents. Despite the lawsuits, RealPage and the broader industry defend their practices, arguing that sharing information does not equate to collusion and that the rental market is too vast for any secretive deal to persist.

The company also argues that data sharing is a solution to high rents, a claim that is refuted by the existence of many unoccupied rental units in Phoenix that remain unaffordable due to artificially high prices. In response to these allegations, renters have begun organizing class action lawsuits, and state attorneys general in Arizona, DC, and possibly North Carolina have initiated legal action to dismantle this scheme, refund renters, and penalize companies like RealPage. The Department of Justice has also launched a criminal investigation into these practices, highlighting the broader implications of algorithmic pricing on the economy and consumer protection.

While algorithms and machine learning have beneficial applications, their misuse can pose significant risks. Thus, it is essential to understand and regulate such technologies to prevent abuse and protect public interests. This situation underscores the need for vigilance and proactive measures to ensure technology serves society's best interests without compromising fairness and affordability in essential markets like housing.

#RealPage #Algorithm #HousingCrisis #PriceFixing #RentIncrease #Phoenix #LegalAction #DOJ #Renters #AntiTrust #Collusion #HousingMarket #TechnologyMisuse #Affordability #Evictions #Homelessness #ClassAction #AttorneyGeneral #ConfidentialData #MarketControl #HighRents #TenantRights #RentalMarket #BigData #ConsumerProtection #PriceSetting #RentHike #Software #Lawsuits #RealEstate #Regulation #MachineLearning #PublicInterest #EconomicImpact #Landlords

Key Takeaways:

RealPage's algorithm is accused of enabling price fixing in the housing market.
Apartment rents in Phoenix increased by 76% since 2016, partly due to RealPage's practices.
RealPage's software shares confidential data among landlords to set rental prices.
The algorithm's control over pricing has led to significant rent increases, evictions, and homelessness.
Numerous lawsuits have been filed against RealPage by renters and state attorneys general.
The Department of Justice has launched a criminal investigation into these practices.
RealPage and the industry argue that data sharing does not imply collusion.
The situation underscores the need for regulation to prevent technology misuse in the housing market.
Algorithms and machine learning, while beneficial, can pose significant risks if misused.

Predictions:

ul>

The Department of Justice's investigation may lead to stricter regulations on algorithmic pricing.

Class action lawsuits could result in significant penalties for RealPage and similar companies.

Increased awareness and scrutiny of algorithmic practices in other markets may occur.

Key Players:

RealPage
Attorney General Mays
Lena Khan
Federal Trade Commission (FTC)
Department of Justice (DOJ)
Washington Post
District of Columbia (DC)
Arizona
Phoenix
Tucson
North Carolina

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Why Is The Rent So Damn High？ - 04-18-2024

It's late 2023. The Phoenix area investigators with the state attorney general's office are looking at apartment rents. They're up 76% since 2016. Something is off. These four building rents are 12% higher than others, but they offer similar amenities.

They have different landlords, so you'd think they should be competing with one another, but they weren't. The prices were allegedly being set by one entity, an algorithm owned by a company called. Called Realpage. In fact, this was happening everywhere in the area. That's old fashioned price fixing using new technology.

We allege, in effect, a housing cartel. Over 2000 miles away, something similar is happening. It's alleged that all of these different units, their prices were set by one single algorithm, which sounds bad, and it could be happening in cities and states across the country. Renters have filed over 30 different lawsuits against Realpage. We're going to talk about what all this means.

How algorithms, these black boxes of data, are shaping our markets and giving an incredible amount of power to the few. And how the Department of Justice and some state attorney generals are fighting back, because this is a story about how a few lines of code broke the american housing market.

What is realpage? So, Realpage is a company that operates software that allows landlords to input their data into an algorithm, and then realpage sets the prices for all of those landlords. This is actually against the law. Attorney general Mays isn't the only one alleging this. Our allegations are that realpage, in combination with 14 of the largest landlords here in the District of Columbia, are effectively colluding with one another to set rents across America.

Rent is up 20% since 2020. The attorney generals of Arizona and DC are suing Realpage and a host of big landlords, alleging that an algorithmic housing cartel is helping drive up prices.

In the pre real page days, landlords would compete with one another. They played a guessing game with rent. Prices push it too high, and people move, leaving landlords hunting for new tenants. It was a delicate balance, a market, and I'm not sure if it was fair, but it wasn't rigged. An algorithm helped change all of that.

We're talking about an algorithm that aggregates otherwise confidential information that the landlords have that ordinarily they would not share with their competitors. Data like rent prices, lease expiry dates, any deals they offer to tenants, that allows then the algorithm to spit out a pricing recommendation, all designed to keep the overall market at its highest peak. They are not charging what the market can bear. They are controlling the market. It's leading to the exacerbation of our affordability crisis, our housing crisis.

Here in Arizona, if you could imagine a smoke filled room where the landlords, the largest landlords in the District of Columbia, came together to decide what they were going to charge in rent to share their confidential information, everybody would be able to see that that's an anti competitive practice. Until recently, using shared pricing algorithms like this flew under the radar. If your algorithm set prices, you'd just say, it's not cheating, it's a suggestion. Not anymore. Lena Khan and the FTC have said, just a suggestion.

That's price fixing, no excuses. And realpage. According to the lawsuits, they weren't even pretending the prices were suggestions. Realpage has a system set up where the landlords who have adopted the system agree to a set of rules. One of the rules is that Realpage gets to set rent prices.

If landlords want to charge less than the digital oracle suggest, they have to justify their decision. The justification needs to be reviewed by Realpage. Realpage can push back against the justification. And if you push back too much, RealPage can kick the landlord out of the scheme with one insider telling investigators, sometimes we were happy to see customers go. They also had a policing agent that would go out and make sure that the landlords and their leasing agents were staying in line and not deviating from the price that was being set.

This scheme, if true, has had a real, tangible impact on Americans. Realpage advertises that it's going to increase revenue to 2% to 7% for the participants in the cartel. What realpage is telling these landlords and is doing with these landlords is don't worry about occupancy rates anymore. It doesn't matter really how many people move out of your building. You're still going to grow your revenue over time.

How? Through these coordinated price increases in Phoenix alone, we've seen rent increase 76% since 2016. It is almost certain that people were evicted as a result of these price increases, and that some people were made homeless by them to their prospective customers, the landlords. Realpage is pretty open about all of this. You can go to their website, type in a zip code, and view a sample of what buildings are using the software, along with any corresponding price changes.

We'll see. This building right here, rent is actually down about 4%. If we just zoom out a little bit. A few blocks over, this rent is actually up 4%. They used to have videos where landlords talked about how RealPage's algorithm pushed them to raise rent, but the company deleted it after the Washington Post ran a story on investor calls.

They're flat out saying the algorithm is going to recommend higher lease rates for every property. But the company goes to great lengths to train landlords to hide this scheme from renters. Landlords were coached across a variety of scenarios and told not to mention realpage or pricing algorithms to tenants. Instead, they were supposed to say stuff like units were being priced individually. RealPage and the larger industry dispute the charges.

Since the onslaught of lawsuits, Realpage has largely stayed quiet, ignoring our request for an interview. But the industry has published a paper defending itself. They make a bunch of different arguments, but it boils down to two major points. The first, sharing info doesn't mean they're teaming up. Why?

Because the rental world is just too big and too messy for any sort of secret deal to stick. But that doesn't seem to stand up to scrutiny. The real page algorithm is being used by nearly 90% of the apartment owners in the DMV. Realpage controls 70% of the rental units in Phoenix, and that they control at least 50% of the market in Tucson, 90% in DC, 70% in Phoenix. That hardly seems like a fragmented rental market.

And their second point, more houses, not less. Data sharing is the real fix for high rents. That's bunk. You know, we've got apartment units all over Phoenix that aren't being rented right now because people can't afford them. The spaces are there, but people can't afford them because these landlords are setting artificially high rent via an algorithm.

And that is just unacceptable. Absolutely unacceptable. Things are shifting. Renters are banding together in class action lawsuits. Arizona, DC, and possibly North Carolina are suing.

They want to end the scheme, refund renters, and find companies like realpage. The DOJ has started a criminal investigation into the whole thing. I don't think this is just an Arizona based problem. This is not the only place where algorithms are being used to set prices. This is, to me, one of the bigger kind of issues facing kind of our economy on consumers in the next decade or so.

There's a lot of positive things that algorithms and machine learning can do for society, but there are also risks associated with it. We can't be afraid of technology. We have to lean in and learn about it and make sure that we're keeping the public safe from the abuses that can sometimes flow from misuse of technology.

Thanks for watching, and as always, don't forget to like and subscribe to our channel. This is the first of many videos we're producing on the rise of big data in society. If you have any areas that you want us to study, let us know in the comments below.

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Episode Summary:

In the exploration of futuristic technologies and conspiracy theories, the document delves into a multitude of topics ranging from AI capabilities to military strategies and the speculative impacts of chemtrails. It starts by discussing the personal activities and reflections of the narrator, setting a casual tone. The focus shifts to "Chemtrail Awareness Month," linking chemtrails to various global incidents like the flooding in Dubai, suggesting a connection between human interventions and natural disasters. The text critiques the handling of such interventions, portraying them as potentially catastrophic due to the dynamic and unstable nature of the systems involved.

The document scrutinizes the public's engagement with chemtrails through social media contests, encouraging participation to spread awareness. This initiative is depicted as a strategy to influence public opinion and understanding of chemtrails, leveraging social media's power to amplify messages.

Further, the document challenges the fearmongering surrounding artificial intelligence (AI), emphasizing its limitations. AI is portrayed as a tool limited by the data it has been trained on, incapable of sentient thought or creativity. This serves to counter the narrative that AI could become an autonomous, decision-making entity posing a threat to humanity.

The military's use of AI in simulations is discussed, revealing its flaws when faced with unpredictable human strategies. This segment serves to illustrate the current limitations of AI in complex, real-world scenarios, suggesting that despite advances, AI remains a programmed tool, unable to adapt beyond its programming parameters.

Additionally, the document touches on broader philosophical and existential questions about humanity's place in the universe and its relationship with technology. It suggests a shift in the collective mindset is necessary as we enter what the narrator describes as a "Sci-Fi world," where traditional concepts of geography and enemy identification are outdated.

The narrative ends with personal anecdotes and reflections on the military's perspective on global threats, including the speculative impact of solar events on global technology and infrastructure. It hints at a deep-seated concern within the military about the vulnerability of our technologically dependent civilization to cosmic phenomena.

AI & Bullshit - 01-23-2024

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Episode Summary:

Clif High's "AI & Bullshit" focuses on debunking myths surrounding artificial intelligence (AI). High argues against the idea that AI possesses desires, awareness, or cognition, emphasizing that it operates solely as a search engine without emotions or self-awareness. He begins by sharing his personal experiences, including a legal battle involving a CBD product and its effects on his dog, to illustrate how he utilizes AI in legal research and other practical applications.

High delves into technical aspects of AI, explaining it as an index or a collection of computer codes generating outputs based on word processing. He stresses that human emotions and desires are governed by hormones, something AI lacks, making it incapable of wanting or feeling. AI's operation is likened to an index of databases, where it searches through keywords and generates outputs based on these searches. He describes AI as a sequence of codes, each triggering specific actions, with decisions at certain breakpoints determined by the code, not by cognitive processes.

High elaborates on the training process of AI, involving neural nodes and the concept of a weighted potential collapse. These nodes, after numerous runs, gather indices of keywords and form a database that AI uses for generating responses. He emphasizes that AI's function is limited to interpreting and responding to language without understanding or awareness.

High criticizes figures like Kerry Cassidy and Gene Decode for spreading misinformation about AI. He refutes their claims of AI having goals or desires and dismisses the idea of alien AI or sentient AI as fearmongering and technically implausible. High argues that AI's limitations are evident in its digital nature and the vast resources required for its operation. He concludes by emphasizing the practical use of AI as a tool and advises against succumbing to fearmongering about AI's capabilities.

#ArtificialIntelligence #ClifHigh #AI #SearchEngine #MythBusting #CBD #LegalResearch #Databases #Keywords #NeuralNodes #Emotions #Hormones #TrainingAI #Misinformation #Fearmongering #KerryCassidy #GeneDecode #SentientAI #AlienAI #DigitalNature #Resources #PracticalUse #Tool #Limitations #UnderstandingAI #IndexBased #WordProcessing #Breakpoints #CodeSequence #Responses #LanguageInterpretation #WeightedPotential #CollapsePotential #RealisticView #Debunking

Key Takeaways:

AI operates as a search engine, not a sentient being.
AI lacks emotions, desires, or self-awareness, functioning purely on code.
Misconceptions about sentient or alien AI are baseless and spread fear.
AI's utility lies in practical applications, not in its alleged consciousness.
Understanding AI's digital nature and limitations is crucial for realistic expectations.

Predictions:

The document does not explicitly make predictions about the future of AI or related technologies.

Key Players:

Clif High
Kerry Cassidy
Gene Decode
David Adair (mentioned as an authority by Kerry Cassidy)
Captain Mark Richards (mentioned in context with Kerry Cassidy)
Ken Schwartz (related to C60 Purple Power)
Greenrevolution.com (company involved in legal proceedings)

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AI & Bullshit - 01-23-2024

You okay, people? Hello, humans. Hello, humans. So it's 23 January, 2024. It's 02:24 p.m.

Here on the west coast. 63 degrees outside, so reasonably warm. And I'm able to get in my office what's left of it. A lot of damage from the storms in December. Anyway, anyway, so you may have followed my twitter.

You may know that I'm going to be embroiled in a legal battle with the producers of these cbds that had hidden a particular component by using a species name as opposed to the descriptive name. So the descriptive name is soap bark tree extract. And the species name was Q-U-I-L-L-A-J-A extract. This is a soap bark tree extract. And it really fucks you up, okay?

It causes the thinning of the mucous lining of all of your elementary canal from your stomach on down. And it can cause bleeding, which is what it did with my dog because I didn't know it was in there, right? I didn't know that. If it had said soap bark, I would have recognized it. But I didn't realize this was in the cbds that was giving him for his arthritis.

So now I'm battling to try and keep him healthy and well or recover, actually. He may die yet. We just don't know.

I got c 60 purple power today from Ken Schwartz. I ordered it a while back for myself because I had a big container of it here that a guy was working for me, and he set it outside and ran over it with a tractor and crushed all the bottles. So anyway, I had to get some new stuff, but it arrived today. So the dog has got his first dose. I'll give him another dose later, and then I'll give him a third dose before we go to bed.

And that'll really should start kicking him up into a much more recovery mode. If I can get him through the next seven days, it's very likely that we will be able to get him out of this. Take a long time, though, like months because of the damage that stuff did. And humans shouldn't take it either. It's a foaming agent and they put it in soaps and crap.

I know why they did it. They used it to keep everything in suspension in water because CBDs don't like to dissolve in water. Anyway, today's little video is not about that. Okay? Just inadvertently I bring it up because it set off a chain of circumstances and that is related to AI.

And that's what I want to talk about is artificial intelligence. There are people out there saying things Kerry Cassidy and gene decode, among many others. But these two are leaders about AI. That is absolute bullshit. Absolute fucking horseshit.

Cannot happen. Technically impossible. It's illusion. It's a delusion in their minds. Okay, so we're going to go through some of the technical stuff on this.

I'm going to give a description of how AI works and then we'll call it quits for today as I go forward in my legal proceedings against the company that makes that CBD stuff, that company is greenrevolution.com. But as I go forward in my legal proceedings against them, I'm using AI to do all my boilerplate legal work, right, and to do some level of legal research, but not much because you can't trust the AI. That's another thing. AI lies. And it tells you when you sign up, always double check this shit that our AI throws errors constantly.

And I will get sometimes 20 or 30 notices a day on these ais saying elevated error level at this moment. Okay, I'll get into some of that in a minute.

So I'm going to use the AI. I will make more videos in which I will set it up better than I've got at the moment. And I'll be able to do screen shares where I can type the prompt into the AI, show you what I'm doing, and then we'll see the response. And you can see how changing the prompts, what is known as prompt injection a PI. Changing that slightly will cause an entirely different output from the AI and how to basically understand what's going on and how to use AI in legal matters.

Okay, so we'll eventually get to pretty much probably a complete coursework. I'm suing this company for $10 million, and we'll see how far it goes, but we'll do it in real time. And I'll show you the strategies as well as the use of the AI as a tactic, as a tool. AI is stupid. It does not think.

So. Let's describe AI so that everybody understands.

AI is an index, okay? That's all it is. So, all right, first let me back up. Gene decode and Kerry Cassidy frequently say that AI wants AI. Does this.

AI decided to do that, AI wants to do this. AI has this goal. All of those are bullshit, okay? All those statements they make are absolutely delusion. AI cannot possibly want, it cannot possibly desire.

It can't feel. It has no sensations. There's no awareness of itself or anything else. And it is not an integrated whole anything. It is a collection of computer code that is spitting out an illusion to your mind based on dealing with words.

Okay? So you, as humans, have emotions, you have desires, you have goals. All of those, 100% of those, are directed by hormones in your body, okay? That's how the process of your mind wanting something derives, even as simple as wanting something for your stomach. You're hungry, right?

That is prompted by a hormone in the hypothalamus, in the Thalmic gland area in the brain. If you're a male and you have low testosterone, you won't want a woman, there won't be any desire, there won't be any elevation of activity. If you're a male and you have too low a testosterone, movement becomes difficult, and so on. Testosterone is a hormone that makes men feel movement as something fun, okay? It makes movement an intriguing, interesting thing to do.

Hormones govern all of your emotions. Every single one of your emotions is connected to a hormone or multiple hormones in a blend, okay? There is no activity of your brain that involves an emotion that does not involve a hormone, good or bad. If you get depleted in the ability to make hormones, you go into this nasty spiral. But it will also that depression, that evil shrinking from life and everything is also a hormonal response through the cortisol part of it all.

So I'm not going to get into why humans work and their emotions much more than that, just to state that without hormones, you have no activity. Without appropriate levels of hormones, you are unbalanced. Your mind is unbalanced. Hormones cause every single desire and activity within a human, expressed in our world here. Every single one of them, in moving the body, in activating the mind within the body.

So, as a doer in the body, everything that you do is a result of hormones, whether you put them there through a complex association of your mind, causing your body to feel desires about specific things in an abstract that are then tied back to real hormones that are in a base level, or whether those hormones arise naturally at a base level and then percolate up like, oh, I'm hungry, I'd better go get some food, and, oh, I want this. As opposed to that, right? Desire equals the ability to have a decision. And so you don't make decisions if you don't have the appropriate hormones. There are hormonal diseases where you can't decide, where you can't make a decision because of a lack of particular complex of hormones.

So note that this is true of animals. It's true of everything. It's even true of like trees. Trees attempting to seek for the light at that base level within the cells is basically a hormonal response to the outer environment. Insofar as those trees have hormones, they're not quite the same.

Okay? It's a different thing in plants, but it is fundamentally intrinsic to the plant, just as hormones are intrinsic to you and hormones are intrinsic to animals and so on. And if you don't have those hormones, you don't act, you don't respond. You're 100% passive. If you get your hormones fucked up by people.

If people deliberately do things to fuck over your hormones, you can go into different mental states that they may want to cause you in, right, to be in. And so you have to watch out for this. They will do things. So we see these very subtly. The hypothalamus, where the hormones are, is very sensitive to smells.

So you go to the catholic church, especially greek or russian orthodox churches, and they'll be in there throwing their little, I can't think of what they're called, the little incense burner. Things full of frankincense and myrrh. Incenses that cause a particular hormonal thing to occur in your hypothalamus. That produces a particular mental effect. And it age your experience in their theater of religion.

Okay? So they know that. So you can affect a person's hormones all the hell and gone. Now, AI has no hormones, it has no body, it has no awareness. AI is computer code.

AI works by indices. So we're going to use some computer diagrams here. This is the can diagram, should be better. And it's supposed to symbolize disk drives, okay? This back in the day when you would graph code, this is the data repository, which we usually call databases.

Database, okay? That's the physical form of it. On there are individual files that are individually databases. So there might be hundreds, there might be thousands and so on, right? Databases, lots of databases.

In each and every database is an indices that allows that database to be searched very effectively so that you can search on a keyword or some manner, right? And so in the data itself, it would have the keyword you're after in the index, and it would have some form of a reference. Usually it's a long numeric value that describes where on the actual, in a logical sequence, where on this storage media, that particular keyword can be found. And it may have hundreds of these, because maybe that keyword is in there hundreds or thousands of times there. Ergo there would be thousands of these listings, perhaps or tens of thousands or millions, right?

So AI is a search engine. AI does not think it doesn't make decisions. It's just weird. Interesting software. Most software can be thought of as files of computer code with one line causing a particular action, okay?

And then these combination of actions cause a bigger effect. And then there's more actions, and it's read sequentially. So it does the first line, then it does the second line. Maybe when it does the second line, there's a breakpoint, what humans would call a decision point. But in the code it's a breakpoint.

A happens or b happens. The person pushed a spacebar or they pushed the carriage return line feed. And so you have different actions based on what the human did. And then maybe that would cause this to jump down to another section of code and not act on those lines of code because you had chosen the spacebar over the carriage return.

Computer codes will go sequentially. They can be very large, they can be repeating. Maybe you get down into here and it jumps, you back up, and then you keep doing this until you accomplish the task, as the software engineer had decided it should be done relative to whatever task that is. Okay, so that's ordinary software. AI is not quite like that.

AI derives from an interesting process. So rather than being a sequential top down, except for looping sort of a thing, for this, AI works by what they call a collapse of the weighted potential on indices. Okay? Always remember, it's all operating on indexes. That's all it is.

And so here's what happens with AI in a general sense. Now, this is going to be analogous, not technically accurate, because I don't want to get into it now, because in getting technically accurate, we would have to make sure that everybody understood exactly the words, the technical words that were involved. And that's not necessary for you to get the idea of what's actually going on. And then to pursue this discussion about gene decode and Carrie Cassidy's problems with AI. So in these databases, there's an index.

Each and every one of them has an index, all of them, thousands, millions. So just right now, bear in mind that the Internet is very large and that all of Google only indexes 3% or less of the active Internet on any given day. So when you search Google, you're only searching 3% of the Internet. Much of it is never, ever indexed. So only 3% is indexed at any given time.

And that is still a massive amount of data, as you know. Right? You can't read all the Internet anyway. So what AI does, or let me describe how AI is built. AI is built unlike writing computer code like this, AI works off of training, what they call training.

And I'll explain that here. In training you have something like this in the way of computer code, but it's a little tiny chunk, and it's called a neural net, or a neural node, actually. And that would be one little tiny instance. And maybe this neural node has got 100 lines of code in it, right? And that's all it is, just 100 lines of code, whereas your browser might have 5 million lines of code or something for all the shit it can do because of all the options and the decision points, the breakpoints.

AI here has a neural node that does something. Usually these neural nodes are training in the sense that they produce an outcome. Now, the neural node is not run like this, top down and letting it loop and so on. This would be the equivalent of maybe one little tiny loop in real code here. But how you use a neural node is you make that, you have a bigger program that invokes the neural node to train the AI, okay?

Training. And it invokes a neural node, and it may invoke this thing 25,000 times or 50,000 times in a single run. In a single program. It'll create the neural node and it'll give it a number one, and then it'll say, go off and work. Basically put a pointer to that very first instruction set and activate that on an active thread within the cpu, okay?

And so that code will be running at that point. And then the master program, which is still running in the background and controlling all this, will pop off another neural node, and then another one, and another one, and another one. They all get individual numbers. They all become active. Then what it does is it aims them at these databases.

More specifically, it aims them at the indices, okay? So the AI neural nodes usually don't read the raw data. This is why they get shit wrong. Frequently. If these guys here had indexed badly, then all this guy is going to get is bad indices.

So we have this saying, garbage in, garbage out, okay? Out, not zero. Garbage in, garbage out. And so if these guys did a bad job in making their index and their matrix of indexes for their databases, and AI is training off of those databases, and you're going to get bogus AI with built in flaws and stuff. This takes a lot of computing resources to train an AI, okay?

AI does this. Basically, an operating AI does it once before becoming operational or maybe hundreds of times or thousands, until the managers of that AI get it the way they want. But basically they could have gotten it on the first go and it could have been launched at that point. After running maybe 25,000 neural nodes and having the output of these neural nodes pop up, then AI is trained, and it could run, and it's trained in the sense that it knows through this process where these indices are for the keywords, okay? And that's all it knows.

It's never read the data. It has no understanding. It can't understand anything. It can only deal with language and the interrelationship of language to each other. And so it knows the connections between keywords in all of these databases and how they're all interconnected over and over and over again.

And you end up with this selection of interrelated words that can drag along other words with it when you get that particular indices. So AI sends its stuff out here, and it reads all the index, every single one. Bing, bing, bing, bing, bing. And then each one of these neural nets makes a conclusion based on how the code is written, and it pops up with another index. Okay?

So the neural node basically comes up with an index, a listing, basically a list of this information here about the indices, and it adds this little thing in there, and it's called a weighted average. Okay? A weighted average is where they put a numeric value to specific words being used against each other in some of these breakpoints that cause this kind of code change. Did he press this, or did he press that? Instead of saying, did a user press a key?

Maybe the breakpoint says, does this indices here have the keyword we're after in enough bulk, in enough associated bulk with other keywords for this to get a numerical reference of some value. And if it does, what is that value? So it's basically assigning a weighted average conclusion that comes from running these neural net nodes over and over and over again on this process right here. And so it comes up with a conclusion set. And that conclusion set is actually what forms the cognition part.

Doesn't think it's just misapplied word, but that conclusion set is what actually causes the conclusions within AI when it spits something out at you. And if you use AI, you know that, oh, well, shit, that doesn't work. Tell it to redo. Tell it to redo. Tell it to redo.

Because you're getting bad conclusion sets because of some flaw, usually because of the way you ask the question, but that's a separate issue. Okay? So they may run these 25,000 times. It would generate 25,000 conclusion sets. Those conclusion sets are basically another database that's also indexed, okay?

And so this is where the AI resides, it doesn't live. That's where it's housed, is in the database of indices. So in this sense, we'll just call it DBI, a database of indices. And it has its own index, which is searched by the reader of the AI. That thing you interact with through a browser, that browser program invokes this particular indices based on the words that you give it.

And what it does is it takes your words from the screen, yada, yada, yada, yada, yada. You hit the carriage return, and then it sends these words to a language interpreting thing, right? It's your language interpreter. That language interpreter is what's known is the entry to the large language model that is the database, okay? It is a model of words.

That's all AI is. It has no desire, it can't think, it doesn't live, and it has no awareness. All right, let's look at some practicals so you understand, basically you're talking about a computer code. There's one little interesting part that I find quite fascinating, and this is what's known as the collapse of potential. Okay, so it's an electrical potential too, right, as well as an indices potential.

But here's the thing. You can ask AI program a particular question in a near human fashion, and it will send it down to its language interpreter and come up with a numeric set of values that it can apply against the indices to give you an answer. And this part right here is the key. It's basically this kind of a computer code that does brute force interpretation of what you've said against the large language model internally, to come up and convert your human language into a computer kind of a code question that it then puts against this database to get at all of these other databases without you having to go through them one by one by one and make your conclusions from that. It does this by a collapse of potential.

And you can think of this in an interesting way. I think this is a very helpful way to think about it while you're asking the question and while it's running through it and doing all of the searching. It says, though, that it's drawing all of these connections between nodes, between these individual databases up here, and it forms some matrices of connections that we could say that each one of these little nodes here represents a possibility, and the lines between them represent the potential that any of those given nodes are the solution to your question. Okay. As it's running its code, what it ends up doing is it ends up building link after link after link after link after link after link after link after link after link after link after link after link after link after link around the language associated with your question being converted into computer language.

Computer speak. If you notice, some of these particular nodes have more links than others. That's the collapse of the potential. It'll get to a point where this code here says, okay, once you've got 55,000 links, that's it. Collapse.

It spit out the answer. And so it will measure some number of links, and it will decide based on that at what point to collapse the potential of that value and say, okay, we're done, right? This is the answer, or it's going to be as good as it can get. The collapse of the potential within these AIS is about 70%. So once it has done about 70% of the possible, first it asks what would be the possible number of nodes that could answer this guy's question.

It asks this in a goofy way of itself, comes up with a number, and then usually once you've got about 70% of that particular number in links, it'll collapse the potential, because that's good enough. Right? And to get those last 30% takes as long as the first 70%. To get the last 10% takes as long as the first 90%. So the further you go making these links, the longer the whole process is going to take.

And you want to balance this between speed and accuracy, which is fundamentally what the AI is trying to do for you. Okay? So we'll just assume that that's valid. It collapses the potential. And what it does is, at that point, it reads those that have the heaviest weight of the answers.

And it uses an internal algorithm that is hard coded into it as to how to present that to you, showing you that first this guy, then that guy, and then maybe incorporating that guy and this guy, those answer indices into your answer that it gives you. Okay? But again, if they've badly done this, then you've got garbage in, so you need to garbage out. So this is how you end up with all the errors is this complex aspect of all of this shit right here, okay?

And that's AI. It's really no more complicated than that. It doesn't think. There's no cognition there. There are people that will make statements that are just 100% bogus.

First off, there's no awareness within this computer code, and there can't ever be, because of the nature of awareness and hormones.

You'll see some people make statements that AI knows something we're playing, and it does not really know anything. It just collapses the potential based on mathematics. This happens due to the computer hard coded algorithms that it's dealing with. And we misapply words to AI that give us a false understanding of what it is. And this is quite common in all of human activity.

With it, you'll see some companies that will say, well, we're going to be crushed by AI. It's going to kill us all. And they'll say, we don't know what their particular fear is, but some companies will say we're keeping our AI away from the concept of consciousness, that if we tell it what consciousness is, it will become conscious. Bullshit. It's computer code, right?

It's ones and zeros. It's little digits and shit.

You'll see some companies that are afraid of AI in a valid sense, in terms of altering the social order by becoming so good at particular tasks that humans are not required to do it any longer. That also, to a certain extent, that fear porn is bullshit, because humans will adapt and will adapt to AI, and we'll be quite happy. I love using AI as an assistant. It eliminates the need for me to have to explain things to humans. It speeds up the whole process.

I get a reasonable. It's always 70%. I get a reasonable shot at an answer that might be valid, which is about what I would get out of a human right. So in this sense, it's useful that way. But as I say, humans will adapt.

We won't be crushed by AI. It'll become a cool little tool for us, especially as we get into analog AI, which I'll get into at some other point, as opposed to digital AI. But let's talk digital for a second. Many of you may know that in 93, I came up with the idea. In 97, I'd had the code written.

It's a lot of fucking code. I'd made myself a large language model AI that worked in a different fashion than what we see here, because I was never trying for a generalized AI. I was trying for a very specific language, interpreting AI, okay, for my particular needs. And so I come up with this. I called it the altar reports.

I ran it from 1999 until about 2018, when I died. I did another couple of reports shortly after that, and that was it. Because of some of these issues that I'm going to bring up, it is digital, okay? The whole Internet is digital. So gene decode, saying that AI reads the Internet three to 500 times a day is horseshit.

I would take 18 days, and I was running a big, sophisticated multi processor server from Weiss sort of like a little home IBM machine or was more like a sun super server in terms of its function. But I was running these things. It would take me 18 days to sweep one fucking percent of that 3%. Not one third of that 3%, but one fucking percent. Because the Internet is so huge and you just generate so much stuff.

And then also he says the AI reads the Internet three to 500 times a day. And a, that's horseshit. Because AI does not read, it is trained, and there would be no need. If it could read it even once, why would it bother reading it again 300 times in a day, right? What would change would be minimal.

And you find what changes in indices? So it might be appropriate to say that AI could read the indices a lot, right, and come up with what had changed. But that would be as far as you could take that statement, all right? Plus, it's not physically possible. You cannot extract that kind of volume over the Internet by an AI at all, ever.

And if it should even come close to, say, 1% of what he's claiming three to 500 times a day, none of us would have access. You wouldn't be able to upload videos because all the Internet would be doing would be feeding the fucking AI. Also note that digital transfers take a while. They take a certain amount of read time off of drives and so on. They cost money and so on.

So we see that some companies, like New York Times, are suing chat, GPT, AI, maybe others, for using their databases to train with because it costs the New York Times money to have these other people run code and hit on their databases, causing read and write activity. Because bear in mind, the AI doesn't take copies of this shit. It just is taking that copy in Ram for a few minutes and then coming all the way up with this shit in order to come up with its own master set of indices from which it can collapse potential. And so it doesn't really store any of this, but it does cause mass amounts of activity as it's doing the training. And so the servers at the New York Times and the Washington Post, whoever it was that was suing these guys would have been just banging away like mad, reading and writing all of their indices to supply AI as it's doing its training.

This is one of the reasons I don't run these. Sorry about that. This is one of the reasons I don't run my program anymore. When I first started off, no one gave a shit about web scraping. Web scraping is when you have one pc or one computer come and take the data from another pc without bothering to put it on the screen or do anything with it.

It just goes from one disk to another and then you process it on your own disk, which is what I used to do in the early days of the Internet. No one thought about the costs of this kind of activity, right? And then ultimately it got to the point where places like Twitter, Facebook and so on were throwing real fits about all of the bots, because basically what I had written was an AI bot that was a language interpreter going towards psychic impressions out of humans that leak out.

So it couldn't happen. Gene decode is full of bullshit. It would cause mass amounts of chaos. Nobody would get access to the Internet and there'd be vast quantities of cost. And places like Twitter and New York Times and all these kind of things would instantly shut it off because they're getting vast quantities of cost.

The drives running, everything breaking down, people having to work on it to maintain it. Their router is the bandwidth, all of that kind of shit, and no revenue because there would be no humans looking at any of the ads and so they couldn't legally charge. Right? And so this is the conundrum. This is the problem with AI.

Okay, so Gene decode is dismissed, right? I've looked at that guy's language. I've listened to enough of it and I distrust him, okay? I think he's lying and I know he's stupid and technically non proficient because of many of the statements that he makes. And we'll just let it go at that.

I have no interest in no. Want to hear anything from this guy. Now, Kerry Cassidy is another one who has AI fantasies. Okay, first off, let me back up to gene decode. He also says AI wants stuff, has desires, wants to do things.

Bullshit. It has no hormones, can't do anything. All it can do is a computer program that collapsed, potential of indices. Okay, so getting back to Kerry Cassidy. Kerry Cassidy is desperately afraid of AI.

Alien AI. Oh my God. Alien AI coming here to Earth. And so question arises, how is it coming here? Is it floating through space?

Well, maybe not. Is it coming on a spaceship? Okay, that's fine. It's coming on a spaceship. How's it going to connect to our Internet?

How's it going to do anything? Does it use the same digital approach that we do in terms of the electrical potential in the chips? Can it convert whatever mechanism it works at to our digital? Does it understand any of our languages, any of that? Can it get access?

And then you have the same issues all over again. If we had AI from aliens fucking with us, we would see it in the money being spent by these companies trying to maintain these indices and the bandwidth and the routers and all of that kind of shit. As this AI was eating our data, they would know we would see it happening. The technicians that monitor the network, you wouldn't believe it. There's a guy sitting out there right now at rumble.

That's where I'm thinking, I'm going to load this up. He's sitting there right now watching meters and flow, and probably has eight, maybe twelve screens around him, monitoring various aspects of what's going on, all of which relate to the read and write heads hitting on these databases that supply all of these videos to the feed to get out onto the net, et cetera, et cetera, et cetera. Right? So he's using his, probably is using his own form of AI to monitor all of that. And it probably has areas that he's set saying, if this particular value on this particular database gets up too high, let me know, that kind of thing, right?

We've got a bot problem or whatever, and he may have hundreds of these or thousands of these conditions that AI is monitoring for him on this vast array of hardware to give him, as the network admin guy, some level of control over all of this shit that's going on. And so AI from aliens, a, we would see it if it was digital and hitting our network, and b, if it's not digital or our kind of digital, many different ways it could be digital, that would not be ours. And different kinds of math and all different kinds of. Sorry. Anyway, so alien AI coming here to eat our lunch is horseshit.

It's a delusion that Carrie Cassidy has. There's no alien AI floating around. It's not non corporeal. It needs a hardware to operate on. If it's AI, if it's artificial, if it's artificial intelligence, there's no reason that space aliens AI, other than advancement over centuries, as opposed to our nascent approach to it here in just the last few years.

But there's no reason that alien AI would in any way be superior to what we're going to come up with, right? It has to grow, it has to have an abase, and then it'll be stepwise refinement for a number of years.

So gene decode is full of shit. Terry Cassidy is full of shit. They both have lots of fear porn that they're generating about AI. None of it can be taken seriously. And Carrie relies on authority.

She has people like David Adair telling her that this AI is sentient. The one he interviewed in Saudi Arabia is sentient and thinks and all of this kind of stuff. No, it does not. It's not aware, even though it's in a little robot. It doesn't have hormones, it doesn't have desire.

It's only mimicking the desire because someone put the code in there to put a database, indices to desire that it thinks that it can apply to its. That the coder thinks it can apply to its body to mimic this. Okay, so it's like any other robot. It just sits there until you force an interaction on it. Because it has no desires of its own.

It has no concept of doing anything on its own.

So Kerry Cassidy relies on authorities such as David Adair, who are not authorities. They don't have any other extra understanding of what's going on that they can say is valid over anybody else's understanding on this particular material. But in any event, she believes them because they are whistleblowers. And this is the top dog authority in her world, is a whistleblower. And so she has prisoners that are amusing themselves, prisoners that have been sentenced to life in prison that are amusing themselves by feeding her bullshit stories about alien AI.

And she's taking them as an authority because she's put this authority on this prisoner and given him a title of Captain Mark Richards. And he's in the secret space program. So he has all these labels and authority and shut. But he's giving her lies and she's taking those lies and passing them on in her own form of fear porn. And so as far as AI goes, gene decode and Carrie Cassidy are some of the biggest fear porn people relative to AI.

And they're making all this shit up. It's not physically possible for this to occur. And if there was any form of an attack on the cyber attack that the WEF's talking about, we'll see that coming. Network guys will see them launch it. We'll see it happen.

Same thing with aliens. If they were to try and assault the Internet, we would watch it and network guys would be able to see it. They'd have tracks of it, they'd make copies of what happened when and so on. Because it all comes down to the read and write heads on databases that are managed by these guys in this particular arrangement that we've got. That's right.

Now, that's fairly complex. Okay, so 40 minutes on this, I'll shut this one off. And the next time I do it, I'll figure out a way to do screen shares and we'll start interacting with AI. And my process here is to show you how lame AI is, but also to show you how to use AI to do lawsuits, same way I am. Right.

And so if someone gets on your case, you could get a chat API or Chat GPT account and plug into your need for the lawsuit. Into that, you'd have these videos to go through, and you'd be able to file a lawsuit pro se and go sue the fuckers for causing you damage. Don't do it maliciously, though, right? This kind of shit's going to plug up the courts. So be very judicious in your use of AI in filing lawsuits.

Just because it's easy doesn't mean that it's moral or easier. Okay. All right, so I guess I'll shut that off and we'll have a go of uploading it. That's another issue here, too. Okay, guys, I'll do another one of these about the lawsuit.

Probably a week or two weeks out, and I won't be doing audio files for a while because I got a sick dog to tend to. We got all other kinds of crap going on here, and I got to get some of this stuff around here built back up. But take care and don't fall for the fear porn.

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Episode Summary:

"Corp Wars" by Clif High, published on January 20, 2024, presents a fascinating yet complex narrative blending science fiction with political and social commentary. The book delves into the concept of hypernovelty, a state of rapid and unprecedented change in society and technology. High illustrates this through the lens of corporate power, suggesting that corporations, not governments, are the new global powerhouses.

The book opens with observations of unusual activities on the moon, speculated to be battles between corporate entities like Lockheed Martin and Raytheon. High postulates that these corporations are not just competing on Earth but extending their rivalry to extraterrestrial territories. This sets a tone of corporate dominance over traditional government structures, hinting at a future where corporations have the upper hand in technological advancements and space exploration.

High discusses the idea of a secret space program, not run by governments but by corporations for their own interests. This ties into the broader theme of corporations surpassing government authority, especially in areas of advanced technology like alien reproduction vehicles. This concept challenges the traditional narrative of government-led space exploration, suggesting a future where private entities hold the keys to space and its mysteries.

Another significant aspect of the book is the critique of media figures and their portrayal of authority figures. High is critical of individuals like Carrie Cassidy, who he accuses of blindly following and propagating the views of so-called whistleblowers without critical analysis. This criticism extends to the general public's tendency to accept information from perceived authorities without questioning its validity, a behavior that High predicts will change as hypernovelty progresses.

High also touches upon the impact of hypernovelty on individuals, predicting mental breakdowns and a general unraveling of societal norms. This is linked to the erosion of trust in authority and established systems, leading to a more fragmented and uncertain world. The book also critiques the influence of individuals like George Soros in the U.S. justice system, pointing to a broader theme of elite manipulation and control.

In conclusion, "Corp Wars" offers a provocative look at the future, dominated by corporate power and technological advancements. High's narrative warns of the dangers of unchecked corporate authority and the need for critical thinking in the face of rapid societal changes.

Episode Summary:

Mauro Biglino's "Non sono umani" delves into the curious case of unidentified aerial phenomena (UAPs), as discussed in articles by The Guardian and other sources. The book begins with a reflection on freedom of the press worldwide before diving into the subject of UAPs, relating them to various religious and historical texts. The discussion revolves around the credibility of UAP sightings and the implications of extraterrestrial intelligence. The author notes the Pentagon's 2021 report on UAPs, which revealed numerous cases of unexplained aerial objects defying known physics and technology. David Grash, a former intelligence official, and his colleague Jonathan Gray, confirm the existence of exotic materials, suggesting non-human or extraterrestrial origins.

The text draws parallels between modern UAP sightings and ancient religious texts, such as the Biblical stories of Ezekiel, Elijah, and Zechariah, and the Eastern texts describing vimanas, suggesting a historical continuum of such sightings. It highlights the challenges of verifying these phenomena due to the lack of direct witnesses and the need to rely on historical accounts and modern-day whistleblowers like Grash. The narrative discusses the possible existence of alien pilots, the recovery of non-human aircraft, and the global nature of these phenomena. It emphasizes the importance of maintaining an open mind while rigorously seeking evidence and verification.

Throughout, "Non sono umani" questions the mainstream dismissal of UAPs and alien theories, advocating for a more serious and open investigation. It engages with the idea that humanity might not be alone in the universe, urging readers to consider the evidence and implications of these claims. The book is a call to widen the discourse surrounding UAPs, urging scientific and governmental transparency and a reevaluation of the known historical and religious narratives in light of these mysterious occurrences.

What is really going on with FTX and the "Fried Bankman"

On the surface, this looks like a fairly straightforward money-laundering/corruption scandal involving Democrats (which it is.) But the reason it happened is perhaps a lot more devious than you think

I was in the middle of working on a few other substack posts today, but there's an important point that I wanted to make about the Sam Bankman Fried situation with FTX.

FTX is (or rather, was) the giant cryptocurrency exchange that just imploded in a massive bankruptcy and is now implicated in funneling money to Ukraine and then back to Democrats for political funding.

Scandalous, for certain. The FTX implosion is the reason that your Bitcoin and other crypto currency wallets took a big hit in US Dollar terms (which I argued in this substack post doesn't really matter as much, anyway. You just need to view cryptocurrency as something other than a slot machine or “investment”.)

There's a well-done video (link below) that will explain the basics of the FTX blowup to you in a fairly clear and concise way.

I mentioned in a Truth Social post that in my view, Fried has been masterfully used as a useful idiot. His meteoric rise in the cryptocurrency realm with FTX—right after Biden was installed—didn't happen organically; it had help from a cabal that works in the shadows. And that cabal is not necessarily in bed with Democrats.

It looks after its own interests.

FTX: The Unexpected Pawn in a Global Chessboard🕵️ - 11-13-2022

The right way to frame this situation is to understand that cryptocurrency—done correctly—is a mortal threat to the central banking model.

This model—of how money is created, distributed and controlled—first and foremost benefits the elite banking cabal.

He who creates and controls monetary units—and is also first in line at the trough—controls everything.

A phrase often attributed to Mayer Amschel Rothschild (source) is “Permit me to issue and control the money of a nation, and I care not who makes its laws!”

Cryptocurrency cuts this class of power elite out of the middle; it disintermediates them. This is because with cryptocurrency, “money” flows directly from buyer to seller without an intermediate bank being required.

It simultaneously takes them out of the control of creation of monetary units (by printing paper money or issuing debt.) In the case of Bitcoin, for example, new “coins” are created during the process of BTC transaction verification, which is known as “mining.” New monetary units in the Bitcoin realm are created by people doing the work of making the Bitcoin ecosystem function; not by the banking elite.

This new system of money is an absolute death threat to this ruling class; if it reached its full potential without being knee capped (which is what “they” are trying to do at every juncture), it represents a death knell to the World Bank, the BIS, the Central Banking systems—and all of those “first in line” who feed at the troughs they create.

I used the phrase “crypto is kryptonite” to describe its impact on that class of people.

Insidious Meme

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