Browsing: Artificial Intelligence

When AI Changes Fraud, Trust Becomes Everything Supply: PaymentsJournal | Creator: PaymentsJournal | Date: 2026-08-17 13:00:00 This text was initially…

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It’s Time For The President To Level With The American People on Iran Supply: The Cipher Temporary | Writer: Ryan…

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.

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The Biggest AI Models Are Not the Biggest Threats Supply: The Cipher Temporary | Writer: Ryan Simons | Date: 2026-08-13…

Culture Clash: How Banks Are Adapting to Embedded AI Experts Supply: PaymentsJournal | Creator: Tom Nawrocki | Date: 2026-08-07 13:00:00…

The resulting pathogens, known as bacteriophages – viruses that infect bacteria – cannot infect humans or animals, the report stated. Samuel King, a Stanford graduate student and study author, told the New York Times (NYT): “It just felt like the obvious next step.” Large language models, which underlie tools such as ChatGPT, can generate realistic text and pose risks of misuse in creating fake news or other misinformation ^[1].

Evo Model Trained on Genetic Sequences

Evo, a program similar to ChatGPT, scanned about nine trillion nucleotide bases from animals, plants, viruses and microbes, according to the research team. Rather than analyzing written text, the model was used to dissect and form genetic code, the report stated.

After learning natural DNA patterns, Evo generated nearly 300 genomes of Phi X-174, a virus chosen because it cannot infect humans or animals. Sixteen of those genomes were determined to be viable, the study reported.

In petri dish tests, some AI-designed phages multiplied faster than the original Phi X-174 and burst out of host cells, according to the authors. The researchers selected Phi X-174 because a virus genome is less complex than the DNA instructions found in a human cell, the report stated.

Researchers Call Study a Turning Point

Marc Güell of Pompeu Fabra University in Spain told the BBC the study was “a very significant turning point” and “allows us to dream of exciting possibilities for tackling humanity’s greatest challenges.” Güell said that “for the first time in history, we are beginning to design biology on a computer,” according to the BBC.

The scientists said they did not provide the model with data from viruses that infect humans, animals, plants or fungi, the article noted. The team also excluded similar viruses that infect other organisms, the report stated.

Biosafety and Biosecurity Questions Raised

But Dr. Thomas Inglesby and Dr. Moritz Hanke of the Johns Hopkins Center for Health Security wrote in a Science article that the results raised “urgent biosafety and biosecurity questions.” They said the issue is no longer “whether generative viral genome design will exist” but whether it can be used without “enabling serious harm.” Viruses that could cause disease “should not be pursued,” they added, according to the report.

Hanke told NYT: “You could say, ‘Hey, genomic language model, make me an influenza genome that is modified to be more transmissible or to be more lethal.'” A Microsoft study demonstrated that AI can be used to design novel, toxic biological agents by “paraphrasing” the genetic sequences of known toxins, allowing them to bypass commercial biosecurity screening software, according to a NaturalNews.com report ^[2].

The U.S. National Institutes of Health should improve how it regulates lab-generated viruses that could pose a national security risk, according to its biosecurity advisers, the National Science Advisory Board for Biosecurity ^[3]. In a previous case, a team at Boston University’s National Emerging Infectious Diseases Laboratories developed a new strain of the Wuhan coronavirus (COVID-19) that killed 80% of infected mice in a laboratory setting, according to a preprint study ^[4]. Declassified documents released in June 2026 showed U.S.-funded coronavirus research included planning for spike-protein modifications, receptor-adaptation experiments, and testing in humanized mice, according to ZeroHedge ^[5].

Implications of AI-Designed Pathogens

The study is among the first examples of generative AI being applied to biology, according to researchers, and the field remains at an early stage. Scientists emphasized that the resulting bacteriophages pose no threat to humans, but the methods could be adapted to other genomes, experts said.

Some analysts have said that only a few companies in the world have the resources to invest in developing large language models similar to GPT-4, a factor that could shape oversight ^[1]. The report raised policy questions about future oversight of AI-generated biological sequences, with the authors stating that dangerous viruses should not be pursued. A technology executive described one path as “to completely prioritize technology to maximize what’s possible without considering potential implications.” ^[1]

References

1. aacid zlib3 files 20241105T001425Z 29870425 3zFrZWC8qLJzJ5FoyS9nN5.
2. Ava Grace. “Digital Pandora’s Box: How AI Outsmarts Biosecurity and Paves the Path for Next-Generation Threats”. NaturalNews.com. October 09, 2025.
3. Emily Kopp. “‘Vague and Secretive’: Risky NIH Research Not Adequately Regulated, Experts Say”. Children’s Health Defense. January 21, 2024.
4. Michael Nevradakis. “Insane: Boston Researchers Create ‘More Lethal’ Strain of COVID, Prompting Calls to Shut Down Risky Gain-of-Function Research”. Children’s Health Defense. January 21, 2024.
5. “Gabbard Drops Fauci COVID-19 Receipts On Last Day: He Funded The Research, Cooked The Cover Story, Then Lied To Congress”. Zero Hedge. June 19, 2026.

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