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Alibaba shares plunged as much as 10% in Hong Kong on Monday after the Chinese tech giant priced an 80 billion Hong Kong dollar ($10.20 billion) placement of newly issued shares to non-U.S. investors. 

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Samsung Electronics has announced a shareholder return package, marking a blockbuster week for shareholder returns among South Korea's chip giants following SK Hynix's share buyback.

Embedded Finance: Banks’ New Growth Channel Supply: PaymentsJournal | Creator: PaymentsJournal | Date: 2026-08-19 13:00:00 This text was initially printed…

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

Editor's note: A previous version of this story, based on information provided by a Synchrony Financial executive, mischaracterized the collaboration between Synchrony and OpenAI. Details, quotes and characterizations attributed to Synchrony and the executive have been removed. A corrected version is below.

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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

Steve Eisman is warning that the artificial intelligence boom has become increasingly dependent on the fortunes of just two companies: OpenAI and Anthropic.