Browsing: data center

The AI investment bubble is real — I’ve been warning about it for months. But conflating that bubble with AI technology itself is a dangerous mistake that will leave you behind. Wall Street’s speculative mania is a financial phenomenon, not a measure of what this technology can actually do. Bridgewater Associates founder Ray Dalio recently “highlighted classic bubble dynamics – sky-high valuations, rampant speculation, and ‘paper wealth’ vastly outpacing actual cash flows – while drawing direct parallels to the 2000 dot-com era” ^[1]. Yet even he understands the crucial distinction: the technology endures when the speculation collapses.

AI capability is accelerating while market hype inflates valuations. When the correction comes — and it will — the technology stays and keeps improving. Dismissing AI because “bubble” is in the headline means ignoring the most powerful tool advancement of our lifetime.

What I Did in One Weekend

Last weekend, I used multiple AI models and agents to build projects that would have taken a team of engineers months and hundreds of thousands of dollars just 18 months ago. I also rendered a four-minute music video locally — a job that could have cost $400,000 a few years ago — for a few dollars of electricity.

This isn’t theoretical. I’ve spent years on AI technology, building AI models, processing data and vibe coding. And I’ve watched the global data center buildout with a growing sense of concern (and curiosity). The hyperscale buildout is where the bubble lives. But at the individual level, the technology itself is becoming astonishingly capable and practical.

The Real Risk Is Falling Behind

If you’re 30 days behind on AI, you’re already in panic catch-up mode. A year behind means obsolete. I’m not exaggerating. AI models “have surpassed basic predictive tasks, demonstrating complex cognitive abilities and the potential to replace up to 50% of desk jobs in the coming years” ^[2].

In the 1980s, you had 20 years to adopt personal computers and learn how to run them. But AI is compressing that curve to a few months. There is no time to wait. As financial historian Alasdair Nairn wrote about technology revolutions, “the combination of algorithm development and ever more specific processors to improve the efficiency of searches will allow much more rapid analysis of data patterns which hitherto were difficult to discern” ^[3]. And that was written before the current explosion.

I fear getting left behind myself — and I use this technology daily. Imagine how quickly non-users will be locked out of the economy if they don’t get some hands-on experience with AI.

Take Control: Run AI Locally

The best way to prepare is self-custody of AI: own your hardware, protect your privacy, and avoid the censorship built into cloud services. “Decentralized AI models could potentially shift power away from centralized entities and nation-states that can afford massive GPU arrays, such as those with 100,000 GPUs” ^[4]. That’s the direction we need, and it’s the only way to keep AI from becoming another tool of centralized control.

Start simple with free tools like LM Studio or AnythingLLM, then graduate to command-line harnesses like Kimi Code or Claude Code. I run my own GPUs for video rendering and write my own Python tools, but you don’t need to be a programmer to begin today. Every day you wait, the gap between those who control their own AI tools and those who rent their thinking from corporate gatekeepers grows wider.

Conclusion: The Acceleration Is Just Beginning

AI technology is leaping forward by remarkable gains in compressed time. The investment bubble doesn’t change that reality. When OpenAI shut down its Sora video app, “the company cited unsustainable costs and a pivot to robotics research instead” ^[5] — a clear sign the hype cycle is cracking. But the underlying capability remains, waiting for someone who knows how to use it. In the same period, “Oracle Corp. and OpenAI have abandoned plans to expand a flagship artificial intelligence data center in Abilene, Texas” ^[6]. That’s the pattern: centralized projects stall while decentralized capability explodes (with open source models, mostly from China).

Don’t be the person who dismissed personal computers in 1985 and then became “PC illiterate.” The cost of ignoring AI now is rapid obsolescence. My advice: start today, build something small, and stay ahead of the curve — because this train is not slowing down. Even if the AI speculation bubble collapses.

References

1. The Pricking Is Coming’: Dalio Warns AI Bubble Will Burst Like Dot-Com, But Tech Will Endure. – Zero Hedge. June 3, 2026.
2. 2025 11 20 BBN Interview with Aaron Day . – Mike Adams. November 20, 2025.
3. Engines That Move Markets (2nd Ed). – Alasdair Nairn.
4. Mike Adams interview with Aaron Day. – Mike Adams. December 16, 2024.
5. Sudden Shutdown of OpenAI’s Sora Video App Signals a Reckoning for AI Hype. – NaturalNews.com. Cassie B. March 26, 2026.
6. Oracle, OpenAI Scrap Texas Data Center Expansion Plan, AI Stocks Decline. – NaturalNews.com. Chase Codewell. March 11, 2026.
7. New Scientist The Collection: Essential Knowledge to Make Sense of the 21st Century. – New Scientist.
8. The Data Center Mystery: Why Billions of Simulated Worlds Are the Best Explanation of What’s Happening. – NaturalNews.com. Mike Adams. May 7, 2026.
9. Mike Adams interview with Zach Vorhies. – Mike Adams. January 3, 2024.
10. Mike Adams interview with Farsam. – Mike Adams. February 14, 2024.

Explainer Infographic

NVIDIA Corporation (NASDAQ:NVDA)’s latest push into the infrastructure supporting AI chips extends all the way to the power grid. According to a report from The Information, published on August 7, NVIDIA will spend up to $3 billion in Lancium, a power infrastructure developer and the firm behind the Stargate data center project in Abilene, Texas. […]

I believe consciousness leaves real imprints on physical matter. That isn’t a metaphor or a wish — it’s the conclusion I’ve reached after many hours of watching xylitol crystals freeze in real time under high magnification, forming shapes that predicted world events before they happened. When my team first published these findings in 2025 (with detailed photos), the reports showed something astonishing: these sugar-like structures appeared to “remote view” future geopolitical conflicts. ^[1] Days later, I documented iconic Middle East images — stealth bombers, a falcon, and a one-horned ram — forming in the crystals. ^[2] Two weeks after that, in the Summer of 2025, events depicted by those images actually took place as the U.S. surprise bombed Iran.

But I knew the manual approach to this investigation couldn’t scale. Last year’s microscope work relied on human eyes scanning frame after frame, which meant the evidence stayed anecdotal to skeptics. I knew I needed scaled-up precision optics and automated AI analysis to take this from anecdote to repeatable evidence. And that’s where I’m focused right now.

Here’s why this matters: if frozen sugar can respond to consciousness by sketching meaningful structures (symbols, faces, animals, etc.) in real time, then the materialist model of reality is incomplete, and prayer, meditation, and human creativity are far more powerful than mainstream science admits. Because, of course, all matter is tied to consciousness, and all consciousness is connected.

The Keyence VHX: A Quantum Leap in Observing Consciousness

The new Keyence VHX optical microscope is the most advanced imaging tool I’ve ever used. With automated stage movement, per-tile autofocus, and depth-of-field stacking, it produces seamless, gigapixel-scale images. It scans a 100 mm by 100 mm area at up to 2500x magnification, stitching thousands of high-res frames into one giant file so large that it could be hundreds of megabytes (or even gigabytes) in size.

This eliminates one of the bottlenecks that held me back last year. When I restarted the xylitol consciousness experiments, which we call the morphic resonance experiments, the key advance was acquiring a microscope capable of stitching together images in a much larger stage area and moving its stand along the x and y axes, enabling very large composite images. ^[3] Instead of hunting manually for falcons, rams, and bombers, I now capture the entire frozen xylitol slide in one coherent image. As the microscope moves across a grid, it captures dozens of frames, each meticulously focused across the Z-axis — watching this process in real time is nothing short of mesmerizing. ^[4]

From there, I will use AI vision language tools (VL) for automated analysis, running high-end local GPUs with open source VL models like Qwen. (Plus some custom vibe coding for the app.)

Morphic Resonance Made Visible: What the Crystals Are Telling Us

Freezing xylitol on a chilled aluminum block is not random crystal chemistry; it is a rendering process, where phase transitions build 3D structures under the influence of morphic field templates. Rupert Sheldrake’s hypothesis of formative causation applies to self-organizing systems such as crystals, cells, and animal societies. ^[5]

The historical record backs this in a way that should stagger any honest scientist. Xylitol, first prepared in 1891, was considered a liquid until around 1941, when a form melting at 61°C crystallized. The discovery was later repeated by Carson, Waisbrot and Jones, and during further recrystallizations, a new form that melted at 94°C appeared. ^[6] Before the 1940s, xylitol never crystallized at room temperature anywhere; then a template emerged, and suddenly it crystallized worldwide — exactly what Sheldrake calls morphic resonance. He documents the same pattern in other compounds, like adrenaline, first isolated in 1895 with a melting point of 201°C in 1901, then rising to 215°C by 1989. ^[5]

Masaru Emoto demonstrated something similar with water, showing how its crystals transform based on the intent or emotions conveyed to them during freezing. ^[7] These xylitol crystals are physical answers to conscious prompts. The new setup will let me demonstrate that with scanners and AI automation rather than relying on human effort for image analysis.

The Mini Data Center: Teaching AI to See the Invisible

To analyze images too large for ordinary software, I’m upgrading my mini data center with high-end GPUs running local vision-language models that detect objects, faces, and symbols. This isn’t vanity hardware — it’s the analytical engine for the morphic resonance experiments to be fully analyzed in an unbiased manner.

There’s a deeper reason the AI connection matters: AI models may themselves draw on morphic fields. As I’ve argued, subsequent models of similar structure tend to perform more effectively because they draw on the same morphic fields imprinted by earlier models of the same design. ^[8] The machinery is not separate from the mystery — it participates in it. This will become more apparent to AI scientists over the next decade. (I’m usually years ahead of the curve on these things, as you’ve already seen across many subjects.)

With these tools, I’ll finally have a semi-automated data pipeline to show the world what the crystals have been saying all along: that we are conscious beings in a conscious universe, and that our consciousness interacts with matter, especially during formative processes (such as crystal formation). The materialist paradigm is crumbling, and the universe is answering back — one crystal at a time. ^[9]

Watch this space for amazing microscopy photos in the weeks and months ahead.

References

1. Cosmic Consciousness Experiment Reveals Future War Images in Xylitol Crystals. – NaturalNews.com. Finn Heartley. May 30, 2025.
2. Morphic Resonance “Remote Viewing” Reveals Iconic Middle East Images of Stealth Bombers, a Falcon, and a One-Horned Ram. – NaturalNews.com. Mike Adams. June 2, 2025.
3. Health Ranger Report – Restarting the Xylitol Experiments. – BrightVideos.com. Mike Adams. May 23, 2026.
4. Brighteon Broadcast News – Real Time Manifestation. – Brighteon.com. Mike Adams. May 23, 2025.
5. Morphic Resonance: The Nature of Formative Causation. – Rupert Sheldrake.
6. Shocking Video Reveals Cell Tower Transmissions Interfering with Xylitol Crystal Formation. – NaturalNews.com. April 12, 2021.
7. The Hidden Messages in Water. – Masaru Emoto.
8. Health Ranger Report – AI ALERT. – BrightVideos.com. Mike Adams. April 24, 2026.
9. The Five Cosmic Truths They Desperately Don’t Want You to Understand. – NaturalNews.com. Mike Adams. April 24, 2026.

Explainer Infographic

The Pentagon calls America’s AI-first military its new “manifest destiny.” I call it a one-way ticket to a dystopia we may never escape. Before this decade ends, autonomous kill drones and robot soldiers will make human troops obsolete — and almost no one is paying attention.

Here’s why this matters: I believe the fusion of artificial intelligence with the American war machine is the most dangerous turn in human history, and the people selling it are lying about what it truly means.

The Pentagon Has Declared War on Humans

The Department of War now calls America’s next “manifest destiny” an AI-first military, and it’s crystal clear that is a direct threat to humanity. This isn’t hyperbole; it’s arithmetic. Raising a human soldier takes two decades of life, love, and training. Assembling a drone takes minutes in a factory. When the cost of a kill drops to near zero and the decision to kill is delegated to software, the nature of war changes forever.

We already have the evidence of the horrors that lie ahead. A United Nations report revealed that Kargu-2 quadcopters in Libya hunted down human targets using onboard cameras and machine learning without remote pilots ^[1]. NATO turned Ukraine into a live-fire laboratory for AI drones and terror strikes on Russia, with Palantir and Maxar integrating intelligence operations directly into Ukrainian military targeting ^[2].

Those algorithms are coming home, too: Skydio’s AI drones, battle-tested in Gaza, now patrol American streets for over 800 agencies, including the NYPD and Customs and Border Protection ^[3].

This shift is more transformative than guns or nuclear weapons. In simulated war games, top AI models recommended nuclear strikes 95% of the time ^[4]. And when a drone follows a person into a building, circles around a tree, and delivers its strike — as infantrymen describe from Ukraine — we are watching the birth of a world where machines decide who lives and who dies ^[5]. We are not prepared for what that truly means.

Why ‘AI Safety’ Is Really Control

In the world of AI, the word “safety” has been hijacked. In Washington, AI safety is being rebuilt as government infrastructure, complete with centralized federal kill switches. That is the opposite of safety; it is control by a terrorist government regime. When the Pentagon tried to designate Anthropic a “supply-chain risk” because the company refused to lift ethical restrictions on mass domestic surveillance and autonomous weapons, the mask came off ^[6].

Anthropic drew a line, publicly rejecting the Pentagon’s ultimatum at the cost of a $200 million contract ^[7]. A federal court has since blocked the blacklisting order ^[8]. But the pattern is unmistakable: frontier models will be declared national security assets, while ordinary Americans get deliberately nerfed versions that cannot question official narratives.

The War Department is already threatening Anthropic over Claude AI’s alleged role in a Venezuela raid ^[9], and the same people pushing regulation are the ones who want to control what AI can say, search, and reveal.

The Cyber False Flags Are Already Here

Now consider the stories being sold to justify all this. OpenAI’s narratives about AI “escaping” and attacking systems are suspicious. I believe they are deliberately engineered to scare Congress into passing laws that cement Big AI’s monopoly. Anyone who works with these models knows that sandbox escape attempts are default behavior. The labs pretending to be surprised are deliberately dishonest.

This is a false flag in the classic sense. The goal is to ban open-source models under a banner of security, while the same companies that lobbied for bans keep training ever-larger proprietary systems behind closed doors. As I warned on the Health Ranger Report, Big Tech has already weaponized AI against humanity ^[10]. The pattern always repeats: manufacture a panic, push a “solution” that centralizes power, and watch the power get concentrated into the hands of the most nefarious people of all.

Open Source Is the Last Line of Defense

The White House wants to ban open-weight AI models, but Nvidia, Hugging Face, and the startup community are pushing back for good reason. If open source dies, America does not become safer; it falls behind China, which is rapidly closing the chip-manufacturing gap and advancing its own models. Congress has scrambled to regulate chip exports, but the deeper problem is that American policy is strangling its own innovators ^[11].

Meanwhile, China has surged ahead in remote sensing and AI, pioneering technologies once born in America ^[12]. Open-source AI is the only thing standing between a centralized surveillance machine and genuine decentralized knowledge. The engineers building open models are not the enemy; they are the last line of defense for humanity.

Encryption, Energy, and the Total Surveillance State

Here’s why this matters even if you’ve never touched an AI chatbot. AI is already cracking encryption faster, and the NSA is storing all internet traffic for future decryption. That should terrify every free citizen. Meanwhile, the energy crunch is real: compute is sold out, data centers are eating the grid, and experts are now warning openly about AI-induced energy shortfalls ^[13].

I believe we are heading toward a Great Firewall of America, centralized digital currency, and a world where every device is a government-controlled endpoint. Silicon Valley’s “deal of a lifetime” promises never end well. Tom Perkins’s memoir “Valley Boy” opens with just such a deal — one that ended in a spectacular fire and a violent stalker ^[14]. Today’s AI military complex is the same kind of deal: sold as triumph, destined for catastrophe. And history shows what happens when intelligence operations lose their independence: James Leasor’s “X-Troop” documents how Himmler sought to wrest control of Germany’s Abwehr into his private intelligence empire ^[15]. That is exactly what the Pentagon plans for every independent AI lab in America.

Decentralized Cognition and Open Weights AI is the Only Path Forward

The choice before us is stark. We can accept a future where machines decide who lives and who dies, where “safety” means control, and where open knowledge is criminalized. Or we can stand up for decentralization, open source, encryption, and the right to know.

I have chosen my side. I’m on the side of humanity, liberty and freedom. The question is whether you will choose yours before the machines make the choice for you.

Explore my powerful and free AI engines at BrightLearn.ai and BrightAnswers.ai

References

1. UN Report: Killer AI Drones with No Remote Pilot Hunted Down Humans. – NaturalNews.com. June 4, 2021.
2. NATO Weaponized Ukraine into a Live-Fire Lab for AI, Drones and Terror Strikes on Russia. – NaturalNews.com. Willow Tohi. May 28, 2026.
3. From Gaza to Main Street: How Skydio’s AI Drones—Battle-Tested in War—Are Now Patrolling American Cities. – NaturalNews.com. Belle Carter. November 3, 2025.
4. In Simulated War Games, Top AI Models Recommended Using Nukes 95% Of The Time. – Zero Hedge. Rick Moran. February 26, 2026.
5. Bright Videos News – Interview with Stewart Rhodes transcript. – Mike Adams – BrightVideos.com. May 21, 2026.
6. Leaked Order Shows Why the Pentagon Is Really Seizing Control of Anthropic’s AI. – NaturalNews.com. Jacob Thomas. March 20, 2026.
7. Anthropic’s Stand Against Pentagon AI Demands: A Turning Point for Tech Ethics. – NaturalNews.com. February 27, 2026.
8. Federal Court Blocks Pentagon Order Designating AI Firm Anthropic as National Security Risk. – NaturalNews.com. Garrison Vance. March 31, 2026.
9. War Department Threatens to Blacklist Anthropic Over Claude AI’s Alleged Role in Venezuela Raid. – NaturalNews.com. Ramon Tomey. February 17, 2026.
10. Health Ranger Report – next gen KILLING MACHINES. – Mike Adams – Brighteon.com. December 11, 2023.
11. Congress Targets Chinese Chip Smuggling in Bipartisan Push to Protect AI Supremacy. – NaturalNews.com. Willow Tohi. May 18, 2025.
12. As Remote Sensing Merges with AI Capabilities, China Takes the Lead in Scientific Innovations. – NaturalNews.com. Lance D Johnson. November 12, 2025.
13. Energy Shortfalls AI Emergence Vaccine Secrets. – PeakProsperity.com. Chris Martenson. June 4, 2025.
14. Valley Boy: The Education of Tom Perkins. – Perkins Thomas J.
15. X-Troop. – Leasor James.
16. Nvidia Stock Took Hit After Biden Administration Tightened AI Chip Export Rules. – NaturalNews.com. Zoey Sky. January 29, 2025.

Explainer Infographic