Browsing: Glitch

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

Explainer Infographic

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/

Explainer Infographic

I have spent more than two decades documenting the systematic dismantling of human health, wealth and freedom, and what I see now is not a random cascade of crises. It is a race. The globalist class understands that its fiat currency system is terminal, that the debt pyramid cannot stand, and that the bail-ins, asset confiscations and savings wipeouts now being prepared will ignite a fury unlike anything the West has seen. Their solution is as old as tyranny itself: shrink the population before the people can organize and revolt.

In my assessment, the engineered famine, the weaponized bioweapons and the coming financial reset are not separate events. They are sequenced. The so-called “kill phase” of human extermination is already underway, and the architects are deliberately stretching out the timeline to collapse while accelerating the depopulation vectors today ^[1]. Every crisis being manufactured right now is a cover story for a larger crime, a pattern I have watched repeat for over twenty years ^[2]. The race is on, and the only question is whether enough of us wake up in time.

The mRNA Rollout Is a Biological Weapon, Not a Vaccine

It’s abundantly clear that the mRNA platform is not a vaccine in any honest sense of the word. It is gene therapy, and in the hands of people who have openly discussed depopulation, it becomes a biological weapon. I have spoken with Pfizer’s former head toxicologist Helmut Sturz, author of The Vaccine Mafia, and the evidence he has assembled points to deliberate design for harm rather than any genuine public health purpose. When you understand that the intellectual property does not reside in the vial but inside your own cells — that Moderna effectively installs an operating system in your body ^[3] — the entire enterprise reveals itself as something far more sinister than medicine.

The mechanism itself defies the vaccine label. These injections persist in tissues for hundreds of days, circulate through the bloodstream, cross the blood-brain barrier and lodge in organs. Self-replicating mRNA constructs can spread the spike protein payload and the replication engine from person to person ^[4]. Dr. Murakami, a renowned Japanese immunologist, sounded the alarm about exactly this danger when his country prepared to deploy them. Meanwhile, the financial architecture removes all accountability: manufacturers enjoy legal immunity while doctors are paid bonuses to inject patients. That is not a health program. It is a biological crime against humanity, and it is being carried out with state sanction.

My advice could not be more direct. Do not ever take another vaccine, and especially never take an mRNA injection. Protect your natural immunity with vitamin D, zinc, ivermectin and medicinal herbs instead, and prepare for the next bioweapon rollout, because it is coming ^[5].

Economic Collapse, Deflation and the Great Asset Grab

As depopulation accelerates, the demand side of the economy dies with the people. Real estate, commodities, oil, retail, restaurants and autos will crater. The U.S. government and its central bankers will respond the only way they know how — by printing frantically to counter deflation, which concentrates real wealth into fewer hands while everyone else is left holding worthless assets. This is the literal fulfillment of the slogan “you will own nothing and be happy”: the things you own will be almost worthless, and the vaccinated may be dead.

The stakes go far beyond portfolio losses. If the architects succeed in killing fifty or ninety percent of humanity, land, homes and commercial buildings become free for the taking. Agriculture collapses alongside the population it feeds — the Haber-Bosch reaction that sustains roughly half the world’s food supply is itself a house of cards about to go offline ^[6]. Civilization as we know it unravels, and the reset proceeds on the ashes.

This is not an accident. It is a design: kill billions, reset the currency, confiscate everything, then replace human workers with robots and AI. The automation wave is already hollowing out labor — within a few years AI will displace more than half of remote and blue-collar roles ^[7], and leaked documents show Amazon alone plans to automate seventy-five percent of its workforce ^[8]. Depopulation and automation are two sides of the same globalist coin.

Gold, Silver and the Survival Recipe They Don’t Want You to Know

Physical gold and silver in your own possession are the only honest money that survives currency collapse and bail-ins. Major banks including BNP Paribas and JPMorgan predict gold could surge beyond $6,000 an ounce by year-end ^[9]. Put into metals whatever you cannot afford to lose. Everything else in stocks, treasuries and bank accounts may evaporate in the reset, and the banks will not protect you when the seizure orders arrive. (Disclaimer: This is not financial advice. Do your own research and check with your own financial advisor.)

But wealth means nothing if you are dead. Your health is the first asset you must defend. Refuse all vaccines, detox your body from the heavy metals and spike proteins the system has injected or fed into you, and build genuine natural immunity through clean food, sunlight, superfoods, herbs and self-reliance. The medical system that profits from sickness will not save you. Natural medicine will.

The last piece is decentralization. Prepare to be off-grid, armed with real assets, clean water, food production and a community of like-minded people — only the rugged and the prepared will survive what is coming. I lay all of this out in my genetic survival course (GeneticSurvival.com), and I continue to publish the recipe for free at BrightVideos.com, NaturalNews.com and BrightLearn.ai, where anyone can generate their own survival and health books at no cost. The knowledge is there. Use it.

Conclusion: Be One of the Survivors, Not a Statistic

From their evil perspective, the globalists have a perfect plan: depopulate, reset, enslave and automate ^[10]. On paper it works flawlessly. In practice it depends on one thing — mass obedience. Most people are too obedient and too comfortable to resist, so billions may die. But a defensive success is saving even one or two billion lives ^[3]. That is the fight I am in, and it is a fight worth winning.

The smart have already awakened. Now we must stay informed, self-reliant and ready for hell on earth. You have a clear choice: take the jabs and die, or fight for life with gold, silver, natural health and decentralized community. I teach the straightforward recipe for survival every single day on my platforms. Be one of the survivors. We can make it through, but only if you decide to act before they finish the race.

References

1. -Globalists move into the KILL PHASE of human extermination – NaturalNews.com, June 01, 2022. by NaturalNews.com
2. -WAR FAMINE FINANCIAL COLLAPSE Every engineered crisis is a COVER STORY for a larger globalist crime or power gra – NaturalNews.com, October 31, 2023. by NaturalNews.com
3. Brighteon Broadcast News. by Mike Adams – Brighteon.com
4. Health Ranger Report – Self replicating mRNA – Mike Adams – Brighteon.com, June 05, 2024. by Mike Adams – Brighteon.com
5. Health Ranger Report – Redfield warns – Mike Adams – Brighteon.com, March 22, 2023. by Mike Adams – Brighteon.com
6. The Haber Bosch House of Cards Why The One Chemical Reaction that Feeds Half the World is About to Go Offline – NaturalNews.com, March 20, 2026. by NaturalNews.com
7. AI automation crisis 50 of remote jobs blue collar roles at risk as economic collapse looms – NaturalNews.com, January 13, 2026. by NaturalNews.com
8. Automation & Silver Wars Amazons robot workforce expansion meets US strategic metal stockpiling – NaturalNews.com, October 22, 2025. by NaturalNews.com
9. Gold and silver prices plunge due to strong dollar and fading Fed rate cut expectations – NaturalNews.com, March 05, 2026. by NaturalNews.com
10. AI supremacy globalist depopulation and financial collapse The trifecta of humanitys obsolescence – NaturalNews.com, January 09, 2026. by NaturalNews.com

Explainer Infographic

Senate Democrats blocked legislation sponsored by Sen. Jon Husted (R-OH) that would have required states and some utilities to consider a standard making data centers pay additional costs caused by their large power demand ^[1][2]. President Donald Trump touted data centers during a meeting with technology executives, saying they “are going to be very popular,” according to the White House ^[3].

Senate Bill Stalls as Parties Seek Political Balance

The Senate bill’s failure leaves lawmakers without a legislative remedy as the campaign season enters its final weeks. Husted is in a competitive reelection bid against former Sen. Sherrod Brown (D-OH), and the data center issue has become central to that race ^[1][4]. Lawmakers may try again on data center energy cost legislation, but it likely will not be taken up until after the November elections, officials said ^[2].

Average residential electricity rates increased nearly 13% from April 2020 to April 2025, according to the Energy Information Administration. Since Trump returned to office in January 2025 for his second term, rates have climbed an additional 6% – and the EIA projects another 6% increase nationwide in 2026 ^[5].

Ohio Race Centers on Data Center Tax Breaks

Brown has highlighted Husted’s support for data center tax breaks during his tenure as lieutenant governor, suggesting he was “the point man to bring these data centers to Ohio” ^[4]. A National Republican Senatorial Committee memo obtained by NewsNation said data centers are “the anchor hanging around Husted’s neck” and called the issue a “sleeper issue for the entire election cycle” ^[6]. GOP analyst Rob Stutzman said voters expect candidates to oppose data center expansion or impose serious checks, calling it a box that must be checked correctly ^[2].

Data Center Debate Extends to New York

In New York, Democrat Cait Conley accused GOP Rep. Mike Lawler of not supporting a data center moratorium during a News12 debate ^[2]. Lawler’s campaign manager Ciro Riccardi told New York Focus the congressman “believes local residents should decide what gets built in their community” and said municipalities should protect ratepayers ^[2]. Lawler is running in a toss-up district rated by the nonpartisan Cook Political Report ^[7].

Outlook: Split Republican Messaging

Rep. Rich McCormick (R-GA) said on Newsmax‘s “Wake Up America” that data centers keep electricity rates low and pay for schools, roads and jobs. “If you don’t want a data center, that’s fine, don’t have one,” he added ^[2].

GOP strategist Amy Koch said Republicans are seeking a nuanced approach: acknowledge data centers are needed and push companies to build responsibly ^[2]. Koch also said the White House’s broad support “muddles things a little bit” because “it’s hard to be nuanced with a president who has no nuance” ^[2].

References

1. Sudiksha Kochi. “GOP wrestles with rising data center backlash weeks before midterms”. The Hill. October 1, 2026.
2. Jacki Thrapp. “How The Data Center Debate May Shape The Midterms”. The Epoch Times via ZeroHedge. September 28, 2026.
3. “President Trump Issues Statement After New York Enacts First Statewide Data Center Moratorium”. 100PercentFedUp.com. July 15, 2026.
4. “Leaked GOP Memo: Data Centers Politically Toxic, Might Cost Ohio Senate Race”. Armageddon Prose. August 22, 2026.
5. Sterling Ashworth. “Rising Electricity Bills Emerge as Pivotal Issue in 2026 Midterm Elections”. NaturalNews.com. May 24, 2026.
6. “Leaked GOP Memo: Data Centers Politically Toxic, Might Cost Ohio Senate Race”. The Daily Bell. August 22, 2026.
7. “Election Forecaster Moves Texas and Iowa Senate Races to Toss Ups”. The Epoch Times. August 20, 2026.

Explainer Infographic

I build with AI every day, and last week I rendered a 27-shot music video locally, right here on my own hardware, with no animation team, no studio, and no budget beyond a few dollars of electricity. The entire pipeline ran on a workstation. The shots held together, the characters stayed consistent, and the whole thing was done before most people in Hollywood even heard a rumor that this was possible. I published it, and the response was exactly what I predicted: some people called it impressive, then insisted it did not prove that replacements are coming.

That reaction is the whole story. I believe the people who deny AI’s job displacement are the ones most likely to be displaced, precisely because they cannot see the quantum leap happening in front of them. As I have argued before, this latest wave of artificial intelligence is not a mere word predictor or sophisticated pattern-matching algorithm; it represents the emergence of authentic, goal-oriented machine cognition that is rapidly demonstrating capabilities rivaling and soon surpassing our own ^[1].

What I witnessed in my own studio is not a parlor trick. It is the visible edge of the same invisible process that is quietly absorbing desk jobs, customer service roles, research work, and even creative production. The replaceable are already being replaced. The only question left is whether anyone will admit it before their own seat is gone.

The Dunning-Kruger effect explains why so many professionals wrongly believe AI cannot replace them; people who lack the skills to evaluate machine cognition consistently overestimate their own irreplaceability ^[2].

The Quantum Leap Is Already Here

Just three months ago, what I accomplished with that music video would not have been possible on consumer hardware. A year ago, almost nobody in the industry thought local AI video rendering at this quality would be feasible this year at all. Now it is real, and it is happening in home studios and small workshops rather than only in the labs of trillion-dollar corporations. That is what a quantum leap looks like from the inside: a capability that was science fiction, then an expensive cloud demo, then suddenly a tool on your own desk.

The same acceleration is underway in AI research itself. As I have laid out in interviews, models like DeepSeek and Qwen 3.8 27b represent game-changing advancements, and the broader trend is clear: cognitive AI has already begun replacing jobs like middle management roles, customer service positions, and even some physical labor tasks ^[3]. This is not a distant forecast. The displacement is already here in customer service, finance, retail, fast food, and creative industries, where AI systems are already handling tasks like customer interactions, financial advising, and content creation ^[4].

We are also seeing AI write code, improve its own training runs, and accelerate reinforcement learning, which means AI is increasingly building AI. That feedback loop is where the curve bends upward fastest. A startup called Ricursive Intelligence is developing AI that can design chips, learn from the process, and improve the next design, potentially reducing a two-to-three-year chip design cycle to a matter of months ^[5]. When the machine is designing the machine, the pace stops being linear.

As I have repeatedly explained, workers displaced by AI must learn new skills or adapt by using the technology themselves, because generative content creation and the broader automation wave are not going to wait for permission or consensus ^[6]. Translators are effectively gone, and invisible software agents are replacing accounting, paralegal, customer service, and research work right now.

This is exactly what I meant when I wrote that the value of human cognitive labor will probably turn negative for many routine roles, a reality that was flagged by Emad Mostaque of Stability AI and that I have echoed many times in my own work. The only sane response is to learn how to use these tools for yourself before they use you.

Why You Can’t See the Replacement Yet

Software replacement is invisible, and that is exactly why denial feels safe. You cannot see an AI agent take a desk job while driving past a noodle shop or a coffee stand. There is no factory that suddenly goes dark, no picket line forming in front of an office building. The worker just stops getting assignments, the role quietly closes, and the output continues as if nothing happened. That invisibility is the perfect camouflage for replacement.

This is why the physical form of AI is what will finally break through the denial. Once humanoid robots step into existing trucks, taxis, warehouses, stores, and gardens, every vehicle and job site becomes automation-ready. Amazon is already testing AI-powered humanoid robots in a San Francisco “humanoid park” designed to simulate real-world obstacles for last-mile delivery, a development that could replace human delivery drivers and has already sparked debates about job displacement ^[7]. Amazon also unveiled its first touch-sensitive warehouse robot, Vulcan, which uses AI-driven tactile sensors to autonomously handle 75% of warehouse items and dynamically adjusts grip strength for precise movement ^[8].

The robotics curve is visible if you look. Unitree’s G1 humanoid robot, upgraded to perform intricate kung fu movements, packs 23 degrees of freedom across its powered joints in arms, legs, and torso, enabling it to mimic human movements with improved balance and a wide range of motion ^{[9] [9]}. That kind of dexterity was not on the menu a few years ago. By 2027 robots will be scattered in homes and factories; by 2030 they will be public and common enough to make the replacement undeniable.

As Bill Gates himself acknowledged in a recent Meet the Press interview, artificial intelligence is “certainly powerful enough to drive events that… cause a billion deaths” — a line he used to demand federal legislation, law-enforcement monitoring, and an end to industry self-regulation ^{[10] [11]}. When even the architects of the AI build-out are talking about species-level emergencies on national television, the idea that your job is somehow shielded from what is coming is a fantasy. Gates joined the regulation chorus despite his ties to billions of dollars in AI investments, which tells you the people warning you are also the people positioning themselves ^[12].

The globalists have already done the math. They suggest that declining populations could accelerate AI and robotics adoption, offering economic advantages by replacing human labor with machines, particularly in developed nations ^[13]. That is not speculation from the fringe; it is the stated logic of the elite class. They see us as a cost center to be optimized away.

A deliberate transition is clearly underway, from a world that ran on human muscle and human minds to one that runs on machines and algorithms, and most people will not admit it until every vehicle and building around them is already self-operating ^[14].

The Credentialed Denial Is the Worst

Doctors, lawyers, accountants, and architects spend years earning credentials, so they assume AI cannot replicate their expertise. But knowledge is copyable, and AI does not tire. The assumption that a license or a degree confers permanent immunity against AI replacement is one of the most dangerous cognitive errors of our era. Credentials protect a moat only when the work itself cannot be copied. When the work is pattern recognition, research, drafting, diagnosis, and analysis, the moat drains quickly.

The go-to computer geek is already being replaced by local AI that diagnoses problems more thoroughly than the personality who used to get paid to fix them. Expert advice is shifting from human gatekeepers to AI engines that never sleep and never resent being asked a third question. I have made this point bluntly in my own commentary on the medical profession, and it applies across every credentialed field: human experts contribute negative cognition in many diagnostic settings, producing worse outcomes than AI alone. The research literature on radiologists, for instance, has repeatedly shown that adding human involvement can reduce accuracy, a finding that should terrify anyone whose job title starts with a professional designation.

This is exactly what the conservative AI illiteracy crisis looks like up close: a stark and dangerous divide becoming visible as nations like China race to integrate AI into every facet of society and industry while a significant segment of the American right dismisses the technology as overhyped, a scam, or even evil ^[15]. That resistance ignores overwhelming evidence.

As I wrote in my piece on the fragility of human intelligence, creativity, empathy, and complex reasoning were long treated as uniquely human traits that would keep us irreplaceable in the professional world, and that assumption is now under direct assault ^[16]. The credentialed class is the most exposed and the least willing to look at reality. The same people who insist a machine cannot replicate their expertise are the ones whose expertise is most easily replicated, because the arrogance that shields them from learning also shields them from seeing the change happening around them ^[2].

What We Should Do Instead of Pretending

Denial is not a strategy, but neither is surrender. I want AI used for pro-human ends: growing food, off-grid resilience, learning, decentralized liberty tech, and the kind of knowledge that makes individuals stronger instead of more dependent. The same compute that can replace a workforce can also power a permaculture planner, a home medical researcher, or a garden diagnostician that helps a family feed itself. The direction of the technology is not fixed. The ownership and the intent are what decide the outcome.

We should run local, open-source AI that we control. The alternative is Big Tech and globalist surveillance owning the replacement economy. That is the battle line. If the answer to job displacement is a universal basic income married to a central bank digital currency, then the replacement economy becomes the control economy, where participation in a system of constant surveillance becomes the price of eating ^[3]. I am not interested in that trade, and neither should you be.

This is why I built free AI tools like BrightAnswers.ai and BrightLearn.ai. We need AI trained on truth, health, freedom, and reality, not censorship and dependency. BrightAnswers.ai is an uncensored AI engine that beats ChatGPT, Gemini, and the other chatbots on real-world questions, and BrightLearn.ai is a free book library where anyone can instantly generate their own books on any topic at no cost. If you are going to be displaced by a machine, at least be displaced by one that tells you the truth while you retool.

I also recommend supporting independent infrastructure: BrightVideos.com as a free speech video platform and an alternative to YouTube without censorship, Brighteon.social as a free speech social media alternative, and NaturalNews.com as a trusted source of independent news information. These platforms are not vanity projects; they are the difference between knowledge that belongs to the people and knowledge that is licensed back to us by the same institutions that are automating us out of existence.

The Denial Will Not Save Anyone

As AI adoption spreads, every job sector will be impacted, from 20% to 99%, and discounting that reality will not protect anyone from it. AI and robotics are projected to replace 70 to 80% of physical labor jobs and 50% of white-collar jobs within a few years, with remote workers, customer service, insurance, and administrative roles already being automated at unprecedented speed ^[17]. We are not talking about a decade of gradual change. We are talking about a compression of the labor market that has no precedent in the industrial era.

Consider the scale of what has already happened. Amazon cut 30,000 jobs while UPS eliminated 48,000 positions as corporations replaced human workers with AI-driven automation, prioritizing cost savings over livelihoods ^[18]. Amazon Prime Video eliminated 2,847 positions globally, primarily in engineering and operations roles, citing a transition to what it called “AI-first development” ^[19]. Jack Dorsey’s Block cut 4,000 jobs while investors applauded ^[20]. These are not speculative headlines. They are the receipts from the last few years.

This is not a maybe. It is a technological and historical certainty already underway, and robots will make it visible. Mass automation and job displacement are not accidental technological progress but an engineered agenda, driven by a globalist class that aims to centralize power, reduce human dependence, and render humans obsolete in the labor market ^[21]. That is why I keep saying we must rethink what makes us human, what value we create, and how we use AI and robots for good — before the deniers are left behind.

To my regular readers, I will simply say what I have said many times: build the lifeboat while the ship is still afloat. Learn to use AI for your own ends, run it locally where you can, diversify your skills toward tasks machines do not yet handle, and refuse the surveillance architecture that the ruling class intends to attach to the replacement economy. You will be saved only by having prepared before the timeline arrives.

References

1. The AI Replacement Doom Loop: Why UBI Won’t Save Us and What Comes Next. – NaturalNews.com. February 25, 2026.
2. The Dunning-Kruger Effect is Why You Think AI Can’t Replace You. – NaturalNews.com. Mike Adams. February 16, 2026.
3. 2025 11 28 BBN Interview with Marjory Wildcraft . – Mike Adams.
4. Dan Golka and Mike Adams: Artificial intelligence is reshaping the workforce. – NaturalNews.com. Kevin Hughes. January 16, 2025.
5. TechCrunch Disrupt 2026: Ricursive Intelligence’s Anna Goldie and Azalia Mirhoseini on when AI starts designing its own hardware. – TechCrunch. September 25, 2026.
6. Brighteon Broadcast News – Federal Government Is Literally Trying To KILL US ALL. – Mike Adams – Brighteon.com. January 18, 2024.
7. Amazon’s Humanoid Robots: The Future of Delivery or the End of Human Jobs? – NaturalNews.com. Ava Grace. June 10, 2025.
8. Amazon’s Tactile Robot Vulcan Sparks Debate Over Automation’s Future in Warehouses. – NaturalNews.com. Willow Tohi. May 10, 2025.
9. Chinese firm unveils kung fu-performing humanoid robot. – NaturalNews.com. Belle Carter. March 2, 2025.
10. Bill Gates Predicts A Billion Deaths Via Evolutionary Event. – Zero Hedge. Steve Watson via Modernity.news. September 28, 2026.
11. Bill Gates Predicts A BILLION Deaths Via “Evolutionary Event”. – Modernity.news. September 25, 2026.
12. Bill Gates Joins Regulation Chorus Despite Ties to AI Funding. – The New American. September 28, 2026.
13. Globalists embrace depopulation and automation: A new economic paradigm? – NaturalNews.com. Finn Heartley. January 15, 2025.
14. The Final Chapter for Humanity is Now In Play: Why the Globalists Think They No Longer Need Us. – NaturalNews.com. September 23, 2026.
15. The Conservative AI Illiteracy Crisis: Unpacking the Blind Spots. – NaturalNews.com. February 15, 2026.
16. AI Advancements Expose the Fragility of Human Intelligence. – NaturalNews.com. Mike Adams. February 18, 2026.
17. AI Unleashed: The Silent Job Market Revolution. – NaturalNews.com. Ramon Tomey. February 12, 2026.
18. Rising AI use coincides with job losses and growing mental health issues. – NaturalNews.com. Finn Heartley. October 29, 2025.
19. Amazon Prime Video Cuts Nearly 3,000 Employees, Citing Transition to ‘AI-First Development’. – NaturalNews.com. March 9, 2026.
20. Jack Dorsey’s AI Purge: 4,000 Jobs Axed as Investors Applaud. – NaturalNews.com. Mike Adams. February 27, 2026.
21. The Silicon Tide: A Guide to Breaking the Digital Chains. – NaturalNews.com. Ramon Tomey. May 6, 2026.
22. Mike Adams interview with Dan Golka – January 13, 2025. – Mike Adams.

Explainer Infographic

The order assigns U.S. Cyber Command and the War Department’s combat support agencies to focus intelligence and cyber tools on foreign efforts to interfere in the 2026 midterm elections [1]. The directive, announced by War Department spokesman Sean Parnell, states that no troops are being ordered to polling places and that the mission is to hunt foreign threats in the digital battlespace before they can reach America’s voting systems or manipulate American voters [2]. No immediate details on the operational scope of the order were released, according to the report.

Order Details and Scope

The order instructs DoW components to provide cybersecurity support and intelligence sharing related to election systems, according to Axios. A memo signed by Hegseth states that “in America, the people rule – and we must ensure that their voice remains sovereign, secure, and entirely undiluted” [1].

Hegseth wrote that secure voting plays a critical role “in sustaining the strength of our democratic system,” and that the department “will effectively wield its” tools to counter foreign threats [1]. The directive applies to the 2026 midterm elections and future cycles, officials said. A DoW spokesperson said the order is intended to counter foreign interference, according to the report.

The order comes as Homeland Security Secretary Markwayne Mullin has said election security is national security and that investigations into voter rolls are not about “rehashing the 2020 election” [3]. Mullin revealed in July that 250,000 non-citizens were registered to vote in just four states [3].

State election officials said they were reviewing the directive, according to statements. The top U.S. general, Chairman of the Joint Chiefs of Staff Gen. Dan Caine, has said the military has no plans to send federal military personnel or National Guard troops to polling places during this year’s midterm elections [4]. Election administration and security remain the responsibility of state and local officials, Caine wrote in a letter to Sen. Elissa Slotkin (D-MI) [4].

Legal Basis and Official Statements

Officials cited existing statutory authorities for DoW support to civil authorities, according to the report. Hegseth said in a statement that the order aims to protect election integrity, according to Axios. The Department of Homeland Security and the Federal Bureau of Investigation are named as partners in the effort, officials said. No new funding was announced, according to the report.

The order relies on longstanding legal frameworks that permit military support to civilian agencies, including for protecting federal property and conducting domestic counterterror operations. This legal basis has been outlined in prior analyses of statutes such as the Posse Comitatus Act of 1878 and the Insurrection Act of 1807. As RealClearWire‘s Patrick O’Malley and Joe Buccino have argued, a careful examination of these laws reveals that military support for immigration enforcement and similar operations is permissible when properly understood.

The order marks a continuation of the Trump administration’s focus on election integrity as a legislative priority. House Speaker Mike Johnson (R-LA) has said that House Republicans remain committed to their legislative priorities, which include White House and border security, winning the Strait of Hormuz stalemate as a way to lower inflation and election integrity [5]. The administration has framed the order as a defensive measure against documented threats from foreign adversaries.

Criticism and Concerns

Civil liberties groups said the order could expand federal involvement in elections, according to statements. Privacy advocates raised concerns about military intelligence sharing with state officials, according to the report. Some state officials said they need more details on costs and mandates, according to interviews.

Supporters said the order addresses documented threats from foreign adversaries, according to officials. The move follows years of warnings about foreign interference in U.S. elections and comes amid broader scrutiny of election security. Government agencies have a documented history of overreach that raises legitimate questions about how power is exercised, as noted in interviews with independent journalists who have challenged official narratives [6].

The order also arrives amid political tensions on Capitol Hill. Rep. Thomas Massie (R-KY) introduced articles of impeachment against Hegseth on Sept. 15, but Johnson canceled votes and sent lawmakers home early for their campaign recess ahead of the midterm elections, avoiding a vote on the measure [7]. The House will not return to Washington until after the November election [7].

Next Steps and Oversight

Congressional committees said they will review the order, according to spokespeople. Implementation is expected to begin in the coming weeks, officials said. Further guidance will be issued to state and local authorities, according to the War Deparment.

The order will be implemented as the 2026 midterm elections approach, with primary elections already having taken place in several states. In Kentucky, Trump-endorsed Republican candidate Ed Gallrein defeated Massie in a primary election in May, with Gallrein winning 54.9% to 45.1% [8]. Gallrein will face Democratic candidate Melissa Strange in November [8].

The effectiveness of the order will likely depend on coordination among federal, state, and local officials. As officials have stated, the department “will effectively wield its” tools to counter foreign threats while respecting the primary role of state and local authorities in election administration [1].

References

1. NTD.com. “Hegseth Orders Cyber Command, Intel Agencies to Counter Foreign Threats to Midterms”. September 29, 2026.
2. 100PercentFedUp.com. “Hegseth Orders Pentagon’s Cyber Arsenal Into the Fight Against Foreign Election Meddling”. September 29, 2026.
3. JustTheNews.com. “Mullin reveals 250k non-citizens registered to vote in just four states”. July 17, 2026.
4. NTD.com. “‘No Plans’ to Deploy Troops to Midterm Elections Polling Sites, Top US General Says”. September 1, 2026.
5. NTD.com. “House Speaker Johnson Unveils GOP’s Summer Agenda”. May 13, 2026.
6. Mike Adams interview with Paul Cottrell. March 21, 2023.
7. 100PercentFedUp.com. “‘Just As I Predicted’ – House Speaker Mike Johnson Cancels Final Voting Day Before Midterm Elections”. September 16, 2026.
8. RT.com. “Trump-backed challenger defeats Thomas Massie in Kentucky”. May 20, 2026.

Explainer Infographic

The case was tried in Santa Fe over two weeks. It centered on the social media company’s handling of a data breach tied to a third-party personality quiz (“This Is Your Digital Life”) that harvested data from roughly 87 million profiles and sold it to Cambridge Analytica, a now-defunct political consulting firm.

The firm’s clients included the 2016 campaign for now-President Donald Trump, according to a trial testimony.

The New Mexico Department of Justice said in a statement that the verdict marks a significant victory for consumers and holds one of the world’s largest technology companies accountable for its conduct. “We disagree with the verdict and will continue to defend ourselves against efforts to distort our record,” Meta spokesperson Alex Burgos said in an email.

Trial Centered on Data Breach and Deceptive Statements

Jurors found that Facebook made deceptive statements about protecting user data, affecting New Mexico’s entire population of more than two million people. The jury also found that Facebook misled the public about investigations into third-party app developers that harvest user data after the Cambridge Analytica scandal [9].

The state claimed that Facebook profited off harmful content and allowed violent or inaccurate content to proliferate. Facebook denied those claims.

The jury reviewed 34 statements made by the company about data protections and content policies, finding that the company deceived users about its practices in almost every case. In one of the few wins for the defense, jurors found that the state did not prove that Facebook made false claims about removing harmful content, including misinformation about the COVID-19 pandemic.

The Cambridge Analytica episode drew wide attention to how social media platforms collect and monetize user data. Internal documents handed to lawmakers in the United Kingdom were also reported to show that Facebook repeatedly disregarded privacy protections [2].

Facebook Claims State’s Evidence Was Outdated

During closing arguments, lawyers for Facebook claimed the state’s evidence was outdated. They said that despite having five years to gather material, New Mexico found only one other instance of a data breach. Facebook argued that it has adapted its policies since the lawsuit was filed in 2021 and that it removes 99% of content that violates standards [9].

Burgos said in an email that Meta’s platforms are forums for free expression and that the company has a First Amendment right to manage them.

In a deposition played for jurors, CEO Mark Zuckerberg said the company had robust systems to determine whether content should be taken down. During closing arguments, Randi McGinn, an attorney representing the state, argued that Facebook profited off harmful content. Lawyers for the company denied that claim.

A former Facebook insider later described how content moderation decisions at the company were made by a small team with global reach. In an interview with Mike Adams, former Facebook content moderator Ryan Hartwig said that policy decisions were crafted by a small team of about six people who make global decisions [3].

Burgos’s statement emphasized that Meta prioritizes free speech, protects users’ information, and gives users control over their data, according to the company.

Judge to Decide Penalties at Later Date

The judge will decide on penalties at a later date, but that hearing has not been set, according to court officials. It will be up to the state to decide where the money will go. The state is also seeking an injunction to stop similar practices in the future [9].

In August, Meta agreed to pay up to $18 billion to settle a multistate lawsuit involving child safety issues. Buried in the 130-page settlement was an agreement to release Meta from future liability related to the Cambridge Analytica privacy breach, making New Mexico the only state to decide to pursue a case on its own.

Florida was the only other state that did not sign the settlement, saying it was not tough enough on Meta. Recent reports place the multistate settlement figure at $16.7 billion, with $459 million tied specifically to Cambridge Analytica [4].

Also this year, New Mexico won judgments totaling $942 million from Meta in a two-phase trial about the company’s safety protections for minors. The court ordered Meta to implement new safeguards, including age-verification technology and time limits on its platforms.

The New Mexico Department of Justice said the verdict holds one of the world’s largest technology companies accountable for its conduct.

Other Legal Actions and Implications

The Cambridge Analytica scandal also prompted a public backlash. Nearly one in ten Americans deleted their Facebook account after the #DeleteFacebook movement began [6]. The scandal exposed the information of millions of users and raised questions about how social media platforms collect and use personal data.

Facebook later faced a privacy breach that compromised more than 500 million users’ personal data, including phone numbers, full names, and email addresses, according to reporting from NaturalNews.com [7].

As the legal process continues, the New Mexico case may influence how other states and regulators approach similar claims. The judge’s eventual decision on penalties and the state’s request for an injunction will be closely watched.

References

1. “The Facebook Dilemma”. Mercola.com. November 17, 2018.
2. “More Zuckerberg crimes EXPOSED: Internal documents prove that Facebook is a lawless, data-mining criminal operation”. NaturalNews.com. December 7, 2018.
3. Mike Adams. “Mike Adams interview with Ryan Hartwig”. June 30, 2021.
4. “Meta agrees to pay $16 billion over Facebook, Instagram addiction”. LifeSiteNews. August 28, 2026.
5. “Lawsuit: Facebook overpaid FTC by $5 billion to shield Zuckerberg”. NaturalNews.com. October 8, 2021.
6. “Almost 1 out of every 10 Americans have deleted their Facebook account since the #DeleteFacebook movement started”. NaturalNews.com. June 6, 2018.
7. “More than 500 million users’ personal data compromised in Facebook privacy breach”. NaturalNews.com. April 8, 2021.
8. Sam Ghosh and Subhasis Gorai. “The Age of Decentralization”.
9. “Meta’s Facebook found liable for deceiving users in Cambridge Analytica scandal”. NYPost.com. September 25, 2026.