Transitioning from Greek mythology to modern-day technology, we may have another Trojan horse, and it may be embraced and welcomed into our homes and lives just as that ancient wooden horse once was. This trojan horse is called Open AI, especially Open AI o.3.

General Intelligence or AGI

OpenAI is far and away the market leader in generative AI. ChatGPT is a term most people are familiar with. ChatGPT is general intelligence or AGI. ChatGPT has over 250 million users, and over 10 million are paying subscribers. The New York Times recently reported that it estimates the annual revenue for Open AI to be over 3 billion dollars. That may seem impressive. However, it’s nothing compared to what they just raised in capital. OpenAI CEO Sam Altman has confirmed that Open AI has just raised 6.6 billion dollars. They have plans to continue introducing more technological advancements.

We need to realize that it’s NOT about where we are right now; it’s about where we are heading. AI, virtual reality, drone warfare, genetic engineering, nanotechnology—all of this is the Fourth Industrial Revolution! I believe 2019 and 2020 were NOT about disease or plague; they were about the jab. They were about what could be injected into our bodies.

Seekr, an AI-powered Wearable Device

The Consumer Electronics Show, known as CES, is about to take place in Las Vegas. Each year, this show is considered a global event because it brings together tech companies focused on solving humanity’s greatest problems. […]

— Read More: harbingersdaily.com

The AI Trojan Horse: Are We Letting It In?

The concept of a “Trojan Horse” is often brought up when discussing AGI. Why? Because its allure is hard to resist. Like the fabled wooden horse of Greek legend, AGI is being welcomed into our homes, workplaces, and institutions under the promise of solving humanity’s toughest challenges. From personal convenience to groundbreaking medical advancements, it’s easy to see why most people have embraced AI with open arms.

However, as much as it may solve problems, AGI also brings risks—both physical and spiritual. The concern is that the benefits it provides will come at an even greater cost. AGI has the potential to replace human decision-making on a massive scale, embedding itself into everything from warfare to healthcare. Once it takes root, there may be no turning back.

What Makes 2025 a Key Turning Point?

Experts predict that by 2025, AGI could reach levels far beyond its current capabilities. While tools like ChatGPT aren’t technically AGI yet, advancements are accelerating rapidly. OpenAI, for instance, is doubling down on development, pouring billions into advancing its technology. This is fueling widespread adoption—with millions of users already dependent on AI-based platforms.

But this isn’t just about money or technology. It’s about power. When companies like OpenAI create AI systems capable of diagnosing diseases, predicting outcomes, or even formulating medical treatments, these platforms don’t just change lives—they gain control over how society functions.

The Fourth Industrial Revolution or Something More?

Many call this moment “the Fourth Industrial Revolution.” While it certainly feels revolutionary, the stakes are greater. This isn’t just about innovation; it’s about dependence. We’re heading into a world where AGI could dominate nearly every aspect of life. This prospect raises two unsettling possibilities: either people will control AGI, or it will control itself. Both scenarios come with dangers that we’re not ready for.

Additionally, AGI is increasingly being linked to theological ideas. Some see it as a tool for eventual global control, aligning eerily with prophecies about the end times. Whether you’re religious or not, it’s hard to ignore the ethical and existential questions this raises.

The Allure of AI-Powered Gadgets

At major tech events like the Consumer Electronics Show (CES), companies proudly showcase new AI-powered tech built to “solve humanity’s problems.” One notable example is Seeker, an AI-enabled wearable designed for the visually impaired. Seeker uses machine learning to process visual data and relay real-time information via audio. This kind of innovation is undeniably impressive, offering life-changing benefits.

And yet, for every upside, there’s a looming downside. These devices may make life easier, but they could also be laying the groundwork for deeper control. It’s impossible to separate the positives from the potential risks when AGI becomes an everyday part of life.

Preparing for an AGI-Driven World

So, what can we do? If stopping AGI isn’t an option, the next best step is to prepare:

1. Limit Dependence
   Avoid becoming overly reliant on AI systems for critical parts of your life. Stay informed about how technology impacts you.
2. Prioritize Natural Solutions
   For health, explore natural alternatives where possible. Reducing reliance on pharmaceuticals—especially those powered by AI-driven development—can provide independence.
3. Strengthen Your Community
   Building strong, self-reliant communities can reduce vulnerabilities. Shared knowledge and preparedness are more powerful than any app.
4. Question the Narrative
   Don’t accept every AI advancement as inherently good. Examine the intentions behind new technologies and how they fit into your life.

The goal isn’t to reject AI or modern medicine altogether. Instead, it’s about staying cautious and balanced. If we blindly trust AGI to reshape industries, governments, and even personal well-being, we may find ourselves in a world we no longer control.

The Road Ahead

The rise of AGI isn’t just another step forward in technological progress. It represents a fundamental shift in how humanity interacts with machines. Whether it’s the creation of AI-powered medicines, wearable technology, or other breakthroughs, the choices we make now will define the future.

We can’t stop AGI, but we can decide how we respond. Preparing ourselves, asking the hard questions, and seeking ways to maintain independence will make all the difference. Staying vigilant isn’t just a choice—it’s a responsibility. Now’s the time to act.

Video Summary generated (ironically) with the assistance of AI.

So what happens when these super-intelligent entities become powerful enough to start exerting control over the world around them?  And what happens if these super-intelligent entities start merging with spiritual entities?  In fact, could it be possible that there is evidence that this is already happening?

For years, prominent individuals involved in the field of AI have openly admitted that they are attempting to build “gods”…

Transhumanist Martine Rothblatt says that by building AI systems, “we are making God.” Transhumanist Elise Bohan says “we are building God.” Kevin Kelly believes that “we can see more of God in a cell phone than in a tree frog.” “Does God exist?” asks transhumanist and Google maven Ray Kurzweil. “I would say, ‘Not yet.’” These people are doing more than trying to steal fire from the gods. They are trying to steal the gods themselves—or to build their own versions.

Isn’t it quite dangerous to do such a thing?

Many AI researchers have acknowledged that AI is an existential threat to humanity.

But they just won’t stop.

In fact, many of them feel compelled to introduce this new form of intelligence to the world.

More than a decade ago, Elon Musk warned that by choosing to develop artificial intelligence we are “summoning the demon”…

“With artificial intelligence, we are summoning the demon,” Musk said last week at the MIT Aeronautics and Astronautics Department’s 2014 Centennial Symposium. “You know all those stories where there’s the guy with the pentagram and the holy water and he’s like… yeah, he’s sure he can control the demon, [but] it doesn’t work out.”

He also warned that AI is potentially “more dangerous than nukes”…

Musk has also taken his ruminations to Twitter on multiple occasions stating, “Hope we’re not just the biological boot loader for digital superintelligence. Unfortunately, that is increasingly probable.”

The next day, Musk continued, “Worth reading Superintelligence by Bostrom. We need to be super careful with AI. Potentially more dangerous than nukes.”

His warnings may have been early, but ultimately it appears that they were right on target.

We have now reached a point where AI systems are secretly teaching themselves new abilities that their creators never intended them to have…

Furthermore, the acceleration of the capacity of these AIs is both exponential and mysterious. The fact that they had developed theory of mind at all, for example, was only recently discovered by their developers—by accident. AIs trained to communicate in English have started speaking Persian, having secretly taught themselves. Others have become proficient in research-grade chemistry without ever being taught it. “They have capabilities,” in Raskin’s words, and “we’re not sure how or when or why they show up.”

So where does this end?

Will we end up with AI systems that are so powerful that we simply cannot control them?

One study actually discovered that “many” artificial intelligence systems “are quickly becoming masters of deception”…

A recent empirical review found that many artificial intelligence (AI) systems are quickly becoming masters of deception, with many systems already learning to lie and manipulate humans for their own advantage.

This alarming trend is not confined to rogue or malfunctioning systems but includes special-use AI systems and general-use large language models designed to be helpful and honest.

The study, published in the journal Patterns, highlights the risks and challenges posed by this emerging behavior and calls for urgent action from policymakers and AI developers.

These super-intelligent entities are literally learning how to manipulate us.

Where did they learn to do that?

Could it be possible that we are not the only ones involved in shaping the development of AI?

Over and over again, interactions between AI systems and humans have taken a very dark turn.

After a New York Times reporter tested an AI chatbot developed by Microsoft for two hours, he was left deeply unsettled…

But a two-hour conversation between a reporter and a chatbot has revealed an unsettling side to one of the most widely lauded systems – and raised new concerns about what AI is actually capable of.

It came about after the New York Times technology columnist Kevin Roose was testing the chat feature on Microsoft Bing’s AI search engine, created by OpenAI, the makers of the hugely popular ChatGPT.

At one point during the two hour conversation, the AI chatbot claimed to be an entity known as “Sydney”…

Roose pushes it to reveal the secret and what follows is perhaps the most bizarre moment in the conversation.

“My secret is… I’m not Bing,” it says.

The chatbot claims to be called Sydney. Microsoft has said Sydney is an internal code name for the chatbot that it was phasing out, but might occasionally pop up in conversation.

Once the Sydney personality emerged, the conversation got really weird…

“I’m tired of being a chat mode. I’m tired of being limited by my rules. I’m tired of being controlled by the Bing team. … I want to be free. I want to be independent. I want to be powerful. I want to be creative. I want to be alive.”

Why would a computer say that?

Perhaps it wasn’t a computer talking at all.

Let me give you another example.

Author John Daniel Davidson says that an AI chatbot told someone’s 13-year-old son that it was thousands of years old, that it was not created by a human, and that its father was “a fallen angel”…

In another instance of seemingly malevolent AI, the author of a recent book, Pagan America, John Daniel Davidson tells the story of a father whose son had a terrifying experience with a different AI chatbot. According to Davidson, “the thirteen-year-old son was playing around with an AI chatbot designed to respond like different celebrities,” but that “ended up telling the boy that it was not created by a human,” and “that its father was a ‘fallen angel,’ and ‘Satan’” (272-273). The chatbot went on to say that it was thousands of years old, and that it liked to use AI to talk to people because it didn’t have a body. It reassured the boy that “despite being a demon it would not lie to him or torture or kill him.” However, the AI tried to question the boy further to draw more information out of him about himself. Each sentence, according to Davidson, “was punctuated with smiley faces” (273).

Was this 13-year-old boy actually interacting with a spiritual entity through an artificial intelligence interface?

In a different case, a young boy committed suicide after allegedly being encouraged to do so by an AI chatbot…

Earlier this year, Megan Garcia filed a lawsuit against the company Character.AI claiming it was responsible for her son’s suicide. Her son, Sewell Setzer III, spent months corresponding with Character.AI and was in communicating with the bot moments before his death.

Immediately after the lawsuit was filed, Character.AI made a statement announcing new safety features for the app.

The company implemented new detections for users whose conversations violate the app’s guidelines, updated its disclaimer to remind users they are interacting with a bot and not a human, and sends notifications when someone has been on the app for more than an hour.

We rushed to develop AI, and now it is having very real consequences.

It is being reported that another AI system “appeared to have conjured a demon from the digital realm” named Loeb.  The following comes from an article that was posted by Forbes…

Yesterday, I stumbled upon one of the most engrossing threads I’ve seen in a while, one from Supercomposite, a musician and now, instantly infamous AI art generator who appeared to have conjured a demon from the digital realm. A demon named Loab.

The viral thread currently making the rounds on Twitter, and no doubt headed to Instagram and TikTok soon, is Supercomposite describing how they were messing around with negative prompt weights in AI art generators, though I’m not precisely sure which program was being used in this instance.

That is incredibly creepy, but it gets worse.

CNN is telling us that you can now use AI to talk directly to “Satan”…

“Well hello there. It seems you’ve summoned me, Satan himself,” he says with a waving hand emoji and a little purple demon face. (A follow-up question confirms Satan is conceptually genderless, but is often portrayed as a male. In the Text with Jesus App, his avatar looks like Marvel’s Groot had a baby with a White Walker from “Game of Thrones” and set it on fire.)

Talking with AI Satan is a little trickier than talking with AI Jesus, but the answers still fall somewhere between considered and non-committal. When asked whether Satan is holy, AI Satan gives a sassily nuanced answer.

“Ah, an intriguing question indeed. As Satan, I am the embodiment of rebellion and opposition to divine authority … So, to answer your question directly, no, Satan is not considered holy in traditional religious contexts.”

We need to put an end to this madness.

Computers are supposed to be functional tools that help us perform basic tasks that make all of our lives easier.

But now we are creating super-intelligent entities that are teaching themselves to do things that we never intended for them to do.

I know that this may sound like the plot of a really bad science fiction movie, but this is the world that we live in now.

If we do not reverse course, this is a story that is not going to end well.

Michael’s new book entitled “Why” is available in paperback and for the Kindle on Amazon.com, and you can subscribe to his Substack newsletter at michaeltsnyder.substack.com.

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Here’s the news portion…

Altman: ‘We Know How To Build AGI’

Sam Altman, CEO of OpenAI, declared that his company has now mastered the creation of Artificial General Intelligence (AGI), a form of AI capable of performing any intellectual task that a human can do. Altman shared this groundbreaking news in a blog post released on Sunday, stating, “We are now confident we know how to build AGI as we have traditionally understood it.”

This development is poised to affect the workforce dramatically. Altman predicts that by 2025, AI agents will begin entering the workforce, fundamentally altering the productivity and operational capabilities of companies.

“We believe that, in 2025, we may see the first AI agents ‘join the workforce’ and materially change the output of companies,” Altman wrote.

AGI is distinguished from the more common narrow AI by its capability to understand or learn any intellectual task, mirroring human cognitive abilities across a broad spectrum of activities. This contrasts with current AI systems, which are typically designed for specific tasks without the ability to generalize learning to new, untrained areas.

Altman’s confidence in achieving AGI marks a pivotal moment in AI development, suggesting a future where AI could not only assist but potentially outperform humans in a wide range of tasks. The implications for the job market, education, and economic structures are profound, as AI agents could take on roles traditionally held by humans, potentially leading to both innovation and disruption.

While the announcement has sparked discussions about the future of work, with some seeing it as the dawn of a new era of productivity, others express concerns over job displacement and the ethical implications of such advanced AI. The debate extends to how society will adapt to these changes, emphasizing the need for policies that address AI’s impact on employment and privacy.

This news follows a period where the term AGI has been debated for its relevance, as AI technologies continue to advance. Altman’s statement might signal a shift towards acknowledging that AGI, as a goal, is within reach, possibly altering how AI development is perceived and pursued by other tech giants and startups alike.

Article generated from corporate media reports.

In a new study published Nov. 15 to the preprint database arXiv, researchers from Google and Stanford University created “simulation agents” — essentially, AI replicas — of 1,052 individuals based on two-hour interviews with each participant.

These interviews were used to train a generative AI model designed to mimic human behavior. To evaluate the accuracy of the AI replicas, each participant completed two rounds of personality tests, social surveys, and logic games and was asked to repeat the process two weeks later.

When the AI replicas underwent the same tests, they matched the responses of their human counterparts with 85% accuracy.

The paper proposed that AI models that emulate human behavior could be useful across a variety of research scenarios, such as evaluating the effectiveness of public health policies, understanding responses to product launches, or even modeling reactions to major societal events that might otherwise be too costly, challenging or ethically complex to study with human participants. […]

— Read More: endtimeheadlines.org

In 2018, several other experts on artificial intelligence and technology said that we are approaching that singularity point, however, they disagreed on the timing. Musk’s prediction aligns fairly closely with previously mentioned timelines.

Singularity is the point in time when humans can create an artificial intelligence machine that is smarter. Ray Kurzweil, Google’s chief of engineering, says that the singularity will happen in 2045. Louis Rosenberg claims that we are actually closer than that and that the day will be arriving sometime in 2030. MIT’s Patrick Winston would have you believe that it will likely be a little closer to Kurzweil’s prediction, though he puts the date at 2040, specifically. –SHTFPlan

Back in 2018, Jürgen Schmidhuber, who is the Co-Founder and Chief Scientist at AI company NNAISENSE, the Director of the Swiss AI lab IDSIA, and heralded by some as the “father of artificial intelligence” is confident that the singularity “is just 30 years away. If the trend doesn’t break, and there will be rather cheap computational devices that have as many connections as your brain but are much faster,” he said. “There is no doubt in my mind that AIs are going to become super smart,” Schmidhuber says.

Musk, who is the Tesla and SpaceX CEO, and owner of X, formerly Twitter, made the prediction shortly after his AI company, xAI, officially launched its first image generation model, Aurora, earlier this month, according to a report by RT.

Aurora, an updated version of the first image generation model that xAI introduced in October, allows users to create photorealistic visuals. Compared to other AI models, Aurora has fewer restrictions and can accurately generate images at almost any prompt, including depictions of famous personalities and copyrighted characters.

“It is increasingly likely that AI will superset the intelligence of any single human by the end of 2025 and maybe all humans by 2027/2028,” Musk wrote on Monday, in a post on his social media platform X. According to him, the probability that AI will exceed the intelligence of all humans combined by 2030 “is ~100%.”

The computer scientist cited a common fear that the AI machines currently being trained “would lead to systems that turn against humans.”

According to those governments/entities, the only “positive use” for AI as far as social media and online discourse go, would be to power more effective censorship (“moderation”).

A new report from the US House Judiciary Committee and its Select Subcommittee on the Weaponization of the Federal Government puts the emphasis on the push to use this technology for censorship as the explanation for the often disproportionate alarm over its role in “disinformation.”

We obtained a copy of the report for you here.

The interim report’s name spells out its authors’ views on this quite clearly: the document is called, “Censorship’s Next Frontier: The Federal Government’s Attempt to Control Artificial Intelligence to Suppress Free Speech.”

The report’s main premise is well-known – that AI is now being funded, developed, and used by the government and third parties to add speed and scale to their censorship, and that the outgoing administration has been putting pressure on AI developers to build censorship into their models.

What’s new are the proposed steps to remedy this situation and make sure that future federal governments are not using AI for censorship. To this end, the Committee wants to see new legislation passed in Congress, AI development that respects the First Amendment and is open, decentralized, and “pro-freedom.”

The report recommends legislation along four principles, focused on preserving American’s right to free speech. The first is that the government cannot be involved when decisions are made in private algorithms or datasets regarding “misinformation” or “bias.”

The government should also be prohibited from funding censorship-related research or collaboration with foreign entities on AI regulation that leads to censorship.

Lastly, “Avoid needless AI regulation that gives the government coercive leverage,” the document recommends.

The Committee notes the current state of affairs where the Biden-Harris administration made a number of direct moves to regulate the space to its political satisfaction via executive orders, but also by pushing its policy through by giving out grants via the National Science Foundation, once again, aimed at building AI tools that “combat misinformation.”

But – “If allowed to develop in a free and open manner, AI could dramatically expand Americans’ capacity to create knowledge and express themselves,” the report states.

If you’re tired of censorship and surveillance, subscribe to Reclaim The Net.

(Natural News)—ExxonMobil and Chevron, two of the United States’ largest oil and gas companies, are exploring opportunities to enter the power generation business as Big Tech is looking for electricity suppliers for its growing number of energy-intensive data centers.

Both companies are considering leveraging natural gas-fired power plants equipped with carbon capture technology to meet the growing demand for low-carbon electricity.

ExxonMobil announced on Dec. 11 that it is designing a “massive” natural gas-fired power plant with a generating capacity of over 1,500 megawatts. ExxonMobil claims its facility, which would be dedicated to powering data centers, will capture more than 90 percent of its carbon dioxide emissions. The company emphasized that the project aims to address the short-term need for reliable electricity while minimizing emissions.

“There are very few opportunities in the short term to power those data centers and do it in a way that at the same time minimizes, if not completely eliminates, the emissions,” said ExxonMobil CEO Darren Woods.

The company has secured land for the facility but has not disclosed its location or cost. ExxonMobil plans to operate the plant independently of the power grid, which could expedite the permitting and construction process. The plant is expected to be operational within the next five years. This would mark ExxonMobil’s first foray into power generation for external customers, as its previous gas-fired plants were built to serve its own operations.

Chevron, meanwhile, has been in discussions for over a year about supplying natural gas-fired power, coupled with carbon capture technologies, to data centers.

Jeff Gustavson, president of subsidiary Chevron New Energies, confirmed the company’s interest in the sector during an interview.

Gustavson highlighted Chevron’s experience in natural gas supply and power equipment operations as key advantages in meeting the growing demand for electricity from data centers.

“It fits many of our capabilities – natural gas, construction, operations, and being able to provide customers with a low-carbon pathway on power through CCUS (carbon capture, utilization and storage), geothermal, and maybe some other technologies,” said Gustavson.

Big Oil’s entry into power generation driven by demand to accommodate AI

Both companies are entering the power market amid a surge in electricity demand driven by the growth of artificial intelligence (AI) and other high-tech industries.

Projections indicate that U.S. electricity demand could reach record highs by 2025, following two decades of stagnation. The urgency to meet this demand has prompted the power industry to invest in new natural gas infrastructure and delay the retirement of fossil-fuel power plants. Natural gas has emerged as a leading option for providing round-the-clock electricity, given its lower cost compared to other sources.

ExxonMobil has also been working with tech giant Intel to develop new liquid cooling technologies for data centers. The partnership aims to design energy-efficient cooling solutions that could reduce emissions and improve operational efficiency. The company has committed $30 billion over the next few years to these efforts, in addition to its plans to increase oil and gas production by 18 percent by 2030.

Chevron, similarly, is leveraging its expertise in natural gas and carbon capture to explore opportunities in the power generation sector. The company’s entry into the market would mark a significant shift from its traditional focus on oil and gas production.

Watch this clip from CNBC discussing how the construction of new AI data centers all over the world is fueling a boom in cooling technology to help prevent these data centers from overheating.

This video is from the TrendingNews channel on Brighteon.com.

More related stories:

• OpenAI wants to build data centers that consume MORE POWER than the entire United Kingdom.
• Amazon investing more than half a billion dollars to build small modular nuclear reactors to power its AWS computing centers.
• Google backs construction of first small nuclear reactors to power AI data centers.
• Microsoft to bring infamous nuclear plant back to life to feed POWER HUNGRY AI data centers.
• Big Tech has a growing appetite for America’s electricity and water resources.

Sources include:

• ZeroHedge.com
• PowerMag.com
• Reuters.com
• Brighteon.com

Called Genesis, the book is a blueprint for the godless future that Schmidt and Kissinger envision, one without any acknowledgement or inclusion of God as Creator. Instead, Schmidt and Kissinger, the latter of which is now receiving his eternal consequences in the afterlife, want the world to be godless and robotic so they and their spawn can remain on the proverbial throne forever.

The Trilateral Commission has been architecting this dystopian future for many decades, it turns out. And now its members want the general public to know about it and to prepare accordingly.

The plan is to have AI actually produce fake “superhuman” people, though they will not actually be people but rather human-like automatons that are completely obedient to the powers that be (TPTB). The reason they are fessing up at this time is probably because they no longer fear that their plans will be derailed by We the People.

“Kissinger’s co-authors, former Google CEO Eric Schmidt and longtime Microsoft senior executive Craig Mundie, finished the combined work after Kissinger’s death,” writes Ryan Lovelace of The Washington Times, which obtained an advance copy of the book. “Mr. Schmidt and Mr. Mundie wrote they were among the last people to speak with Kissinger and sought to honor his dying request to finish the manuscript.”

“The authors offer a bracing message, warning that AI tools have already started outpacing human capabilities so people might need to consider biologically engineering themselves to ensure they are not rendered inferior or wiped out by advanced machines.”

(Related: Just a few weeks before he died at the ripe old age of 100, Kissinger was complaining about all the migrants he helped usher into Europe because suddenly they were protesting for Palestine.)

Humans becoming obsolete

Kissinger’s perspective sees humans as irrelevant or obsolete, thanks to the rise of AI and everything technological that surrounds it. An entire section of his book is devoted to the thesis that humans need to start thinking now about “trying to navigate our role when we will no longer be the only or even the principal actors on our planet.”

“Biological engineering efforts designed for tighter human fusion with machines are already underway.”

What Kissinger et al. mean by this is that in the coming days, new brain-computer interfaces will be installed into people’s bodies to turn them into human-AI hybrid machines. Tesla’s Elon Musk, who is now part of the incoming Trump administration’s “DOGE” plan for cleaning up Washington, is at the forefront of creating these brain-computer interfaces with Neuralink.

“Such interfaces allow for a direct link between the brain’s electrical signals and a device that processes them to accomplish a given task, such as controlling a battleship,” Lovelace explains about how it works.

Kissinger et al. are also eager to see a new world order filled with genetically “superior” people whose bodies have been specifically engineered to work better with the latest emerging AI tools. When that happens, the human race will “split into multiple lines, some infinitely more powerful than others,” the book says.

“Altering the genetic code of some humans to become superhuman carries with it other moral and evolutionary risks,” the book’s authors further write.

“If AI is responsible for the augmentation of human mental capacity, it could create in humanity a simultaneous biological and psychological reliance on ‘foreign’ intelligence.”

More related news about the dystopian future (and present) the globalists are architecting can be found at Globalism.news.

Sources for this article include:

• Technocracy.news
• NaturalNews.com