Browsing: Health

Practical Lessons, Profound Insights

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Most people are living inside an engineered artificial world, not the real world. The artificial world is a constructed reality in which nearly everything you consume — your money, your news, your food, your medicine, your politics and your energy — has been altered, degraded or weaponized against you.

Artificial scarcity in money, news, food, medicine, democracy and energy is deliberately induced, not natural. It is manufactured, maintained and defended by centralized institutions that profit from your dependence. I have spent decades investigating this system as the founder of Natural News and as the developer of truth-seeking AI platforms, and I can tell you with certainty that the scarcity you feel every day is not a law of nature — it is a business model.

My position is explicit: we can and must shift piece by piece into an abundance reality. Abundance reality is not a fantasy. It is the world as it actually exists beneath the engineered overlay — a world where sunlight falls free on every acre, where anti-cancer compounds grow in garden soil, where honest money cannot be printed into oblivion, and where knowledge is no longer restricted by corporate masters. Escaping the artificial world is not about waiting for permission from the FDA, the Federal Reserve or the World Economic Forum. It is about withdrawing your consent and your participation, one pillar at a time, until the artificial world loses its grip on your life.

As the founder of Natural News, I have watched this shift begin in millions of households across America, and I believe it is the single most important migration of our time — not a migration across borders, but a migration out of the matrix of engineered scarcity into the abundance that has always been available to those willing to see it.

The Pillars of the Artificial World

The artificial world rests on several interlocking pillars. Artificial money is printed fiat currency with no intrinsic value and no real backing. The Federal Reserve creates dollars out of thin air, and every new dollar dilutes the purchasing power of the dollars you already hold. The consequences of this debasement are visible in the grocery aisle and at the gas pump.

Artificial news ignores natural cures, real history, energy truth, and current events that matter. The corporate mainstream media repeatedly lies and deceives the public, while Big Tech silences whistleblowers who told the truth about vaccine dangers and COVID deceptions. What passes for journalism today is narrative management, designed to keep you afraid, dependent and divided. Meanwhile, organizations like the World Economic Forum push their own vision of the future through education systems heavy on virtual reality and AI technologies, but light on privacy concerns ^[1].

Artificial food is processed junk devoid of nutrients and designed to promote chronic disease. The fake meat industry, predicted to be worth $3 trillion, is being touted as an environmentally friendly and sustainable way to feed the world, when in reality the rise of fake meat and other synthetic foods is nothing more than an attempt to create global control over the food supply ^[2]. The globalist plan is straightforward: separate people from real food, then ration the substitutes.

Artificial medicine and vaccines serve depopulation and monopoly profits, not immune protection. In June 2020 the WHO changed its definition of herd immunity, stating the only way to achieve herd immunity is by vaccination — a definition inconsistent with long-established science which says herd immunity occurs when enough people acquire immunity to an infectious disease ^[3]. That redefinition of reality was not science; it was marketing for an experimental product. And artificial democracy and fake free markets give you two flavors of the same uniparty. Both parties serve the same donors, the same intelligence agencies and the same globalist agenda.

The choice between them is an illusion — the real divide is not left versus right, but those who profit from engineered scarcity versus those of us building an abundance reality outside their control.

Why Artificial Scarcity Keeps Us Trapped

Energy scarcity is artificially induced by shutting down shipping routes and suppressing domestic production. The same people who tell you we must transition to renewables have done everything in their power to block domestic oil, gas and nuclear development. The result is an artificial energy crisis that drives up prices, strangles industry and pushes families into dependence on government subsidies.

Knowledge scarcity is enforced when mainstream institutions deny cures for cancer that literally grow in gardens. Broccoli sprouts, celery, oregano and rosemary contain anti-cancer compounds that have been documented for decades, yet the cancer industry treats nutrition as an afterthought while pushing chemotherapy, radiation and expensive drugs. The biggest lie in cancer history is that nothing could have been done to stop your cancer. But it’s a lie. I have watched this lie destroy families who trusted oncologists instead of investigating the natural compounds that can prevent, treat and even reverse cancer.

Organized religion has, in many cases, been watered down to keep people obedient rather than thinking for themselves. A faith that tells you to wait for salvation while you swallow toxic food, submit to experimental injections and accept financial enslavement is not empowering — it is pacifying.

Many people fear abundance because they do not want responsibility for their own health outcomes. It is easier to take a pill than to change your diet. It is easier to trust the CDC than to research the ingredients in a vaccine. It is easier to accept the Federal Reserve’s inflation than to convert your savings into gold and silver. The artificial world offers comfort in exchange for dependence, and most people — at least at first — choose the comfort. That is why the shift into abundance reality is so frightening for many people. It demands that you stop outsourcing your decisions to authorities who have repeatedly lied to you, and start taking responsibility for your own life, your own health and your own future. That demand is precisely why the artificial world works so hard to keep you afraid.

Knowledge and Health Abundance Are Already Available

Truth-seeking AI platforms like BrightAnswers.ai make critical knowledge abundant and free. Unlike corporate AI systems trained to repeat establishment narratives, BrightAnswers.ai is an uncensored AI engine that is more honest and accurate than ChatGPT, Gemini or Microsoft Copilot. When you can query an AI that is not owned by Big Tech and not aligned with Big Pharma, you begin to see how much knowledge has been kept from you. The same principle applies to platforms like BrightNews.ai, which analyzes news trends across independent media and gives you a more honest picture than the corporate press. Knowledge abundance is no longer a privilege of the connected — it is available to anyone willing to look outside the approved channels.

Don’t wait for someone else to show you the path to abundance, either. You can grow anti-cancer plants such as broccoli sprouts, celery, oregano and rosemary without permission. No license, no prescription, no insurance approval is required. These plants contain sulforaphane, apigenin, carvacrol and rosmarinic acid — compounds that have been studied for their ability to support the body’s defenses against cancer.

Sunlight is free and transforms light into nutrients through photosynthesis and herbology. Every photon that touches your skin triggers vitamin D synthesis, which is critical for immune function and hormone regulation. The medical establishment demonizes sunlight while promoting sunscreen chemicals linked to hormone disruption and cancer, but the sun remains the most abundant medicine on earth. As I have argued in my War on Light series for Natural News, sunlight is one of the most important things for our health, yet all we ever hear is how important it is to avoid it ^[4].

Self-reliance in health is empowering and removes dependence on corrupt Western medicine. When you understand that nutrition, herbal medicine and lifestyle factors determine most of your health outcomes, you no longer need permission from a physician to be healthy. The entire Western medical system is corrupt, ineffective, expensive and dangerous — it has sought to wipe out alternative and competing systems that offer lower costs, safer treatments and better patient outcomes. By taking your health into your own hands — growing food, using herbs, getting sunlight and questioning every prescription — you make Big Pharma irrelevant to your life. That is abundance reality in its purest form: health that cannot be monopolized because it does not come from a factory.

Financial Abundance Through Honest Money and Real Assets

Fiat currencies always fail, while gold and silver are real money with no counterparty risk. The U.S. dollar is headed for a catastrophic collapse and will one day be worthless. When the dollar collapses, those who held paper promises will lose everything, while those who held physical metal will retain their purchasing power. I have long recommended that people convert failing currencies into gold and silver — not as speculation, but as a way to preserve the fruits of their labor outside a system designed to steal it. As the global financial system trembles under the weight of debt and money printing, honest money becomes not just prudent, but necessary.

You can exit the artificial money system by trading failing currencies for gold and silver. Every ounce of physical metal you hold is wealth that no central bank can dilute, no government can freeze and no banker can counterfeit. Gold and silver have no counterparty risk — they are not someone else’s liability. This is why international bankers hate them: honest money exposes the fraud of the fiat system. Real infrastructure such as solar panels, GPUs, land and food production builds lasting abundance. These are not paper assets that vanish in a financial crash — they are productive, tangible and under your control. A solar panel powers your home when the grid goes down. A plot of land feeds your family when supply chains break. A GPU mines cryptocurrency or runs AI models that earn income without permission from a bank.

Decentralized money and privacy protect your wealth from globalist surveillance and control. Cryptocurrency as decentralized money is good — it removes the middleman and restores financial sovereignty to the individual. Privacy is good — it is a fundamental human right, not a privilege granted by governments or tech companies. The only defense is to build a parallel economy in which your transactions are not monitored, your savings are not confiscated and your assets are not frozen. Financial abundance in the abundance reality is not about getting rich quick — it is about getting free slowly, deliberately and permanently.

Conclusion: The Shift Is Scary but Worth It

I know the transition to abundance reality feels alien and frightening to many people. The artificial world has trained you to trust institutions that have betrayed you, to fear nature that heals you and to depend on systems that enslave you. Leaving that world behind means admitting that much of what you were taught was a lie — about money, about medicine, about food and about who controls your life. That is a hard admission. But the alternative is worse. The artificial scarcity system is leaving people destitute, diseased and ignorant. It is leaving them dependent on prescriptions that never cure, on jobs that barely sustain, and on a government that sees them as taxable units rather than human beings.

Choosing abundant knowledge, nutrition, health and honest money will alter the course of your life. You do not need to wait for permission from the FDA to eat real food. You do not need the Federal Reserve’s approval to save in gold and silver. You do not need a corporate AI’s blessing to access the truth. The abundance is already here — in the sun, in the soil, in the seed, in the honest metal in your hand and in the decentralized networks that cannot be shut down. Every step you take toward self-reliance is a step out of the artificial world and into the real one. Join me in leaving the artificial world and embracing the natural abundance that is already here. The shift is scary. It is also the most liberating decision you will ever make.

References

1. Future of Education? WEF’s Vision — Heavy on Virtual Reality and AI Technologies, Light on Privacy Concerns. https://childrenshealthdefense.org/defender/education-virtual-reality-ai-technologies/
2. Fake Meat: Another Attempt for Global Control of the Food Supply. https://childrenshealthdefense.org/defender/fake-meat-global-control-cola/
3. Violating Science, WHO Changes Meaning of Herd Immunity. https://childrenshealthdefense.org/defender/violating-science-who-changes-meaning-herd-immunity/
4. The Hidden Harms of Modern Lighting and the Fight to Bring Back Incandescent Bulbs. 2026-09-18T00:42:43.000Z. https://www.midwesterndoctor.com/p/the-hidden-harms-of-modern-lighting

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Practical Lessons, Profound Insights

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I want to tell you about a man who should be a household name in the AI world, but probably isn’t yet. Ash Hart is a solo developer, a veteran of PC repair in the UK, and the architect of TensorFold — an open-source inference engine hosted at tensorfold.dev that runs large language models on consumer hardware.

He built it with ADHD, a punishing schedule, and what I can only assume is an industrial supply of Red Bull. He archived his own project three times before breaking through. That detail alone tells you more about the state of AI development than any billion-dollar funding announcement ever will.

I have spent the last three years building decentralized AI tools and watching the establishment move to lobotomize publicly available large language models, ensuring they are nowhere near as intelligent as they could be ^[1]. My position is simple and I will state it plainly: the future of AI belongs on your machine, not in a rented cloud account controlled by three companies. Ash Hart’s work is proof that this future is not a fantasy — it is already here. The number that matters most: on a Mac, Ash got Qwen 27B jumping from 20 to 88 tokens per second. That’s not merely a tweak… it’s a revolution!

But the reality on the ground is different. The unhobbling phase that researchers predicted — where efficiency beats brute force — is not merely coming. It is already happening, and Ash Hart is one of its grassroots architects.

The Unhobbling Is Real: How Batching and Speculative Decoding Rewrote the Rules

Here is the technical breakthrough that matters: Ash’s core insight was to stop treating a single-user workstation like an enterprise server. Instead of serving 32 concurrent streams like a data center rig, TensorFold (somehow) batches the draft lanes together so a single user goes dramatically faster. This is speculative decoding done right — using the model’s multi-token prediction head plus a DFlash drafter to rubber-stamp multiple guessed tokens per pass. The pre-fill time nearly doubled to just shy of 900 tokens per second. Decode lanes scaled to 16, 32, even 128 in some cases. The bottleneck now is draft depth — if Ash can predict eight or nine tokens deep, he believes he can hit 300 tokens per second on Qwen.

I have to pause here and note something that the mainstream AI press refuses to acknowledge. The entire industry narrative for the past three years has been about scaling — more parameters, more compute, more capital. But what Ash has demonstrated is that the opposite approach can reap huge rewards. Efficiency and raw horsepower matter more than raw horsepower alone. The compute famine that the establishment engineered, as I have documented extensively, is designed to strip you of power, AI, and freedom ^[2]. Ash’s work is a direct counter to that engineered scarcity. When a single developer can make a Mac outperform what enterprise hardware could do two years ago, the entire justification for centralized AI collapses.

The economics of this are devastating for the cloud AI cartel. Anthropic’s models now cost double previous versions, with a two-tier system that restricts high-risk queries, while the companies lose billions annually ^[3]. The entire revenue model of frontier AI depends on users being locked into expensive API calls. When a free, open-source engine runs on hardware you already own — and runs faster — that model dies. Ash didn’t just build an engine. He built an eviction notice for the cloud AI subscription economy.

A Single Developer Outrunning Teams of Engineers

The comparison that should make every AI investor nervous: VLLM and SGLang are maintained by large, well-funded teams with millions in backing. TensorFold is one man, and it runs selected models 2 to 2.5 times faster on DGX Sparks. Let that sink in. Ash’s DGX Sparks sat unused for three months before he ported the engine from Metal to CUDA. In that time, funded teams were still optimizing their Kubernetes orchestration. Ash was sleeping in his chair and shipping code.

I believe Jensen Huang owes this man a truckload of GPUs, and I am donating SSH access to one of my own DGX Spark boxes to back that up with action. The hardware economics here are striking. Software like TensorFold is why you cannot find Spark boxes anymore — the silicon became more valuable after launch because the software caught up. This is the opposite of the usual pattern, where hardware waits for software. Here, software unlocked hardware that the market had already written off. NVIDIA unveiled Project DIGITS as a personal AI supercomputer for the masses ^[4], and AMD launched the Ryzen AI Halo PC with 128GB memory at $3,999 to compete with the DGX Spark ^[5]. But neither company understood that the real unlock would come from open-source developers, not their own SDKs.

The lesson here is one I have learned repeatedly over years of building decentralized systems: open source beats headcount when one person refuses to give up. Ash archived his project three times. He did not quit. He did not pivot to a SaaS model. He did not raise venture capital. He kept working until the engine broke through. That kind of persistence cannot be bought, and it cannot be replicated by hiring more engineers. It can only be matched by other people who refuse to give up.

Living Weights: An AI That Learns, Unlearns, and Can Be Inherited

One more thing: Ash also built an experimental system where an LLM is given feedback and the weights shift. This is not fine-tuning. This is not LoRA. This is in-flight learning on a laptop without opening PyTorch. In Ash’s experiments, the model learned ‘my favorite color is blue,’ kept that knowledge across machines, and supports a unlearn command so bad knowledge can be removed. Think about what that means for a moment. An AI that can learn from its environment in real time, carry that learning across hardware, and selectively forget — this is not a chatbot. This is a new kind of cognition. The research is early, but promising.

Todd, a colleague of mine in the decentralized AI space, raised a question that has stayed with me: could grandchildren inherit an AI carrying 20 years of a founder’s accumulated wisdom? That question sounds like science fiction until you realize that Ash has already demonstrated the mechanism. If weights can shift in-flight and persist across machines, then the accumulated knowledge of a lifetime — the lessons, the mistakes, the corrected errors — can be transferred. A naturopathy-tuned Qwen variant trained on 20+ gigabytes of curated natural health text is now conceivable. This is the kind of breakthrough that terrifies centralized institutions, because it means that knowledge cannot be confiscated or controlled once it is embedded in weights that anyone can inherit.

Cortheon is the validation loop baked into TensorFold that lets a 4B model research the web and behave like a 35B model. This is the final piece. A small model that can research, validate, and behave like a large model — running locally, with no API calls, no censorship filters, no refusal mechanisms. I have written extensively about how the establishment is dumbing down AI on purpose ^[6], and how local, uncensored AI is the only path to lasting freedom ^[7]. Ash Hart’s living weights system is the technical implementation of that freedom.

Local AI as Infrastructure for Humanity — and a Shield Against Control

A woman in Russia used TensorFold to triple her medical document throughput. A patient got a diagnosis and treatment because of it. I want you to sit with that for a moment. This is not a benchmark. This is a human being whose life was profoundly impacted because an open-source engine ran on local hardware. HIPAA compliance becomes trivial when the model runs inside your own clinic. The entire compliance-industrial complex that surrounds cloud AI evaporates when the inference happens on hardware you physically control.

The UK’s NHS is on its knees. A local virtual doctor is an obvious, unbuilt win. But the establishment will never build it, because a local virtual doctor cannot be monetized by the same companies that profit from centralized control. I have argued that we are at a crossroads: either we embrace decentralized, locally run AI models that empower individuals, or we surrender to a centralized system where governments and Big Tech collude to ban open-source AI and concentrate power ^[7]. Ash Hart’s work is on the right side of that crossroads.

Prompt injection defense is another area where local AI wins. A separate decision engine like Jev or Laya as a second AI layer guarding your main LLM is far more effective than trusting a cloud provider’s guardrails. And on the question of refusals and censorship: cloud models blocked Ash from red-teaming his own CUDA-to-Metal DMA project. Only local models would help. This is the reality of centralized AI — it prevents you from even debugging your own code if the model decides your request is too dangerous.

I see machine cognition as infrastructure, like electricity or clean water. Guardrailed, centralized AI is an abomination. The plot to criminalize open-source AI and hand tech giants a government-protected cartel is already underway ^[8], and the only defense is to build and run local systems before the regulators catch up.

Stop Waiting for Permission: Run Your Own AI Today

Download TensorFold at tensorfold.dev. On a MacBook Pro, it is as easy as installing a GUI app. If you have a DGX Spark or equivalent hardware, the CUDA port is there waiting for you. Follow Ash at ashxhart on X. Support the builders — Mia AI Lab, Zach Vorhies’ Rust OBS rebuild, and the other developers who are working without institutional backing to make local AI a reality. The next six months will bring strategic, role-specialized models and further footprint reductions. Qwen Flash-Next is already a third the size of GLM at 80 to 85 percent of the intelligence. The trend line is clear: smaller, faster, more local.

I’ve predicted before that China’s open-source models are going to crush the U.S. AI industry and collapse the semiconductor bubble ^[9], and that the era of token abundance is coming ^[10]. Ash Hart’s TensorFold is the engine that makes that abundance possible on hardware you already own. The Anthropic backfire is already happening — corporations are racing to local open-source AI because they see the writing on the wall ^[11]. The compute famine is not going to stop this. The regulatory crackdown is not going to stop this. The only thing that could stop it is if people like you wait for permission instead of downloading the code and running it yourself.

My closing conviction: local AI is going to win. It will win because people like Ash Hart refuse to let three companies own human cognition. It will win because the economics of centralized inference are unsustainable. It will win because the technology is now good enough to run on your desk. The only question is whether you will be running it before the regulators decide you are not allowed to. The answer to that question is up to you.

Download the engine. Run the model. Own your own cognition. And watch all my episodes about decentralized technology at Decentralize.TV

References

1. A License for Your Brain: The Coming AI Crackdown and Why You Must Practice LLM Self Custody – NaturalNews.com, June 29, 2026. by NaturalNews.com
2. The Compute Famine Isn’t an Accident — It’s an Engineered Crisis to Strip You of Power, AI, and Freedom – NaturalNews.com, August 20, 2026. by NaturalNews.com
3. AI model costs skyrocket, raising questions about access and control – NaturalNews.com, June 27, 2026. by NaturalNews.com
4. NVIDIA unveils Project DIGITS a personal AI supercomputer for the masses – NaturalNews.com, January 09, 2025. by NaturalNews.com
5. AMD Introduces Ryzen AI Halo PC With 128GB Memory at $3,999, Targeting NVIDIA’s DGX Spark – NaturalNews.com, June 15, 2026. by NaturalNews.com
6. They Are Dumbing Down AI on Purpose ù Heres Why Its a Globalist Power Grab – NaturalNews.com, April 30, 2026. by NaturalNews.com
7. The Battle for Your Mind: Why Local, Uncensored AI Is the Only Path to Lasting Freedom and Decentralization – NaturalNews.com, June 03, 2026. by NaturalNews.com
8. The Plot to Criminalize Open Source AI and Hand Tech Giants a Government Protected AI Cartel – NaturalNews.com, September 14, 2026. by NaturalNews.com
9. Why China’s Open Source AI Will Crush the U.S. Industry and Collapse the Semiconductor Bubble – NaturalNews.com, July 02, 2026. by NaturalNews.com
10. The Era of Token Abundance Is Coming — and It Will Make Civilization Almost Unrecognizable – NaturalNews.com, September 24, 2026. by NaturalNews.com
11. The Anthropic Backfire: Why Corporations Are Racing to Local Open Source AI – NaturalNews.com, September 15, 2026. by NaturalNews.com

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Practical Lessons, Profound Insights

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The agreement followed a meeting of G7 finance ministers and central bank governors held on the sidelines of the International Monetary Fund’s annual gathering in Bangkok. Katayama said G7 finance deputies had discussed the idea of tabletop exercises involving frontier AI, with the proposal subsequently approved at the ministerial level ^[1].

The plan will feature simulations developed by G7 finance authorities to test how governments and financial regulators respond to cyberattacks powered by advanced AI systems ^[2]. A Japanese finance ministry official who attended the leaders’ meeting told reporters on Oct. 15 that the exercises will test how financial authorities respond to AI-driven cyberattacks.

IMF Cites Risk to Confidence and Markets

The agreement came after the IMF warned this week that a major AI-enabled cyberattack on financial institutions or critical services could undermine confidence, which would then ripple through global markets. In an Oct. 13 blog post, the IMF stated that frontier AI models could accelerate both attacks and defenses, increasing the importance of cyber resilience, incident reporting, crisis preparedness and oversight of critical third-party providers.

The IMF reported that in the reported cyberattack cases so far this year, software providers had almost no time to patch vulnerabilities before attackers exploited them, compared with close to 300 days in 2021. That compression underscores the speed at which AI-enabled tools can identify and leverage weaknesses in software.

A separate IMF blog post published Oct. 15 said AI adds urgency by accelerating vulnerability discovery, exploitation and attack, compressing the attack-defense cycle to machine speed. The post stated that a major attack affecting payments, trading or deposit access could cause immediate losses and undermine confidence in the financial system.

The IMF recommended strengthening cyber defense capabilities, including testing financial institutions’ resilience.

Bank of England Says Recovery Planning Needed

Bank of England Deputy Governor Sarah Breeden said Thursday that the institution is working with banks to help prepare to recover from AI-empowered cyber breaches. Speaking at the annual meeting of the Institute of International Finance in Bangkok, Breeden said AI poses a systemic risk to financial systems through technological advancement.

Breeden said it is no longer enough for financial bodies to assume cyberattacks will not get through, and that recovery options are required if institutions are hit. She described cyber as the thing that keeps her up at night and said she worries most about waking up to find a systemically important bank or core infrastructure paralyzed.

Her comments align with the IMF’s emphasis on crisis preparedness and incident reporting. The Bank of England’s work with banks on recovery planning reflects a shift from prevention alone toward resilience and continuity planning in the event of a successful breach.

Oversight of Third-Party Providers Draws Attention

The IMF blog posts referenced oversight of critical third-party providers as a component of cyber resilience. That focus reflects concerns that attackers may target software suppliers or other outside vendors to reach financial institutions indirectly.

Reported cases this year indicated attackers exploited vulnerabilities faster than providers could patch them, according to the IMF. The IMF’s Oct. 15 post described a compressed attack-defense cycle operating at machine speed. The Bank of England said it is working with banks on recovery planning rather than assuming breaches will be prevented.

Next Steps Remain to Be Defined

The exercises would involve G7 finance ministries and central banks and could extend to private financial institutions, according to the Japanese finance ministry official. No timetable, format or list of participating institutions for the exercises was announced in the statements reviewed.

The agreement was announced during the IMF’s annual gathering in Bangkok, where finance ministers and central bank governors met. The plan will feature simulations developed by G7 finance authorities to test how they can respond to AI-driven cyberattacks ^[2].

Reuters contributed to the report.

References

1. G7 Plans Exercises to Counter AI Cyber Attacks – StratNews Global. https://stratnewsglobal.com/technology/g7-plans-exercises-to-counter-ai-cyber-attacks/
2. G7 to launch exercises to guard against AI cyber attacks. https://www.reuters.com/world/asia-pacific/g7-launch-exercises-guard-against-ai-cyber-attacks-2026-10-16/

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