On the Wednesday show Alex Jones spoke with Daniel Liszt AKA Dark Journalist about Trump’s plan to release secret UFO files in July.

VID---THE AGE OF DISCLOSURE IS HERE: President Trump’s Plan To Release The Secret UFO Files In July Is Sending Shockwaves Of Terror Through The Deep State!

AND;

 VID:

Jay Dyer: Jeffrey Epstein Is The REAL Illuminati

Occult researcher Jay Dyer (@Jay_D007) reveals the most disturbing revelations in the Epstein files, and proves the depraved sex trafficker epitomizes the shadowy powerful “illuminati” cabal many people believe control the world behind the scenes.

Jay Dyer: Jeffrey Epstein Is The REAL Illuminati@Jay_D007

Something Big Is Happening — matt shumer

Think back to February 2020.

If you were paying close attention, you might have noticed a few people talking about a virus spreading overseas. But most of us weren't paying close attention. The stock market was doing great, your kids were in school, you were going to restaurants and shaking hands and planning trips. If someone told you they were stockpiling toilet paper you would have thought they'd been spending too much time on a weird corner of the internet. Then, over the course of about three weeks, the entire world changed. Your office closed, your kids came home, and life rearranged itself into something you wouldn't have believed if you'd described it to yourself a month earlier.

I think we're in the "this seems overblown" phase of something much, much bigger than Covid.

I've spent six years building an AI startup and investing in the space. I live in this world. And I'm writing this for the people in my life who don't... my family, my friends, the people I care about who keep asking me "so what's the deal with AI?" and getting an answer that doesn't do justice to what's actually happening. I keep giving them the polite version. The cocktail-party version. Because the honest version sounds like I've lost my mind. And for a while, I told myself that was a good enough reason to keep what's truly happening to myself. But the gap between what I've been saying and what is actually happening has gotten far too big. The people I care about deserve to hear what is coming, even if it sounds crazy.

I should be clear about something up front: even though I work in AI, I have almost no influence over what's about to happen, and neither does the vast majority of the industry. The future is being shaped by a remarkably small number of people: a few hundred researchers at a handful of companies... OpenAI, Anthropic, Google DeepMind, and a few others. A single training run, managed by a small team over a few months, can produce an AI system that shifts the entire trajectory of the technology. Most of us who work in AI are building on top of foundations we didn't lay. We're watching this unfold the same as you... we just happen to be close enough to feel the ground shake first.

But it's time now. Not in an "eventually we should talk about this" way. In a "this is happening right now and I need you to understand it" way.

I know this is real because it happened to me first

Here's the thing nobody outside of tech quite understands yet: the reason so many people in the industry are sounding the alarm right now is because this already happened to us. We're not making predictions. We're telling you what already occurred in our own jobs, and warning you that you're next.

For years, AI had been improving steadily. Big jumps here and there, but each big jump was spaced out enough that you could absorb them as they came. Then in 2025, new techniques for building these models unlocked a much faster pace of progress. And then it got even faster. And then faster again. Each new model wasn't just better than the last... it was better by a wider margin, and the time between new model releases was shorter. I was using AI more and more, going back and forth with it less and less, watching it handle things I used to think required my expertise.

Then, on February 5th, two major AI labs released new models on the same day: GPT-5.3 Codex from OpenAI, and Opus 4.6 from Anthropic (the makers of Claude, one of the main competitors to ChatGPT). And something clicked. Not like a light switch... more like the moment you realize the water has been rising around you and is now at your chest.

I am no longer needed for the actual technical work of my job. I describe what I want built, in plain English, and it just... appears. Not a rough draft I need to fix. The finished thing. I tell the AI what I want, walk away from my computer for four hours, and come back to find the work done. Done well, done better than I would have done it myself, with no corrections needed. A couple of months ago, I was going back and forth with the AI, guiding it, making edits. Now I just describe the outcome and leave.

Let me give you an example so you can understand what this actually looks like in practice. I'll tell the AI: "I want to build this app. Here's what it should do, here's roughly what it should look like. Figure out the user flow, the design, all of it." And it does. It writes tens of thousands of lines of code. Then, and this is the part that would have been unthinkable a year ago, it opens the app itself. It clicks through the buttons. It tests the features. It uses the app the way a person would. If it doesn't like how something looks or feels, it goes back and changes it, on its own. It iterates, like a developer would, fixing and refining until it's satisfied. Only once it has decided the app meets its own standards does it come back to me and say: "It's ready for you to test." And when I test it, it's usually perfect.

I'm not exaggerating. That is what my Monday looked like this week.

But it was the model that was released last week (GPT-5.3 Codex) that shook me the most. It wasn't just executing my instructions. It was making intelligent decisions. It had something that felt, for the first time, like judgment. Like taste. The inexplicable sense of knowing what the right call is that people always said AI would never have. This model has it, or something close enough that the distinction is starting not to matter.

I've always been early to adopt AI tools. But the last few months have shocked me. These new AI models aren't incremental improvements. This is a different thing entirely.

And here's why this matters to you, even if you don't work in tech.

The AI labs made a deliberate choice. They focused on making AI great at writing code first... because building AI requires a lot of code. If AI can write that code, it can help build the next version of itself. A smarter version, which writes better code, which builds an even smarter version. Making AI great at coding was the strategy that unlocks everything else. That's why they did it first. My job started changing before yours not because they were targeting software engineers... it was just a side effect of where they chose to aim first.

They've now done it. And they're moving on to everything else.

The experience that tech workers have had over the past year, of watching AI go from "helpful tool" to "does my job better than I do", is the experience everyone else is about to have. Law, finance, medicine, accounting, consulting, writing, design, analysis, customer service. Not in ten years. The people building these systems say one to five years. Some say less. And given what I've seen in just the last couple of months, I think "less" is more likely.

"But I tried AI and it wasn't that good"

I hear this constantly. I understand it, because it used to be true.

If you tried ChatGPT in 2023 or early 2024 and thought "this makes stuff up" or "this isn't that impressive", you were right. Those early versions were genuinely limited. They hallucinated. They confidently said things that were nonsense.

That was two years ago. In AI time, that is ancient history.

The models available today are unrecognizable from what existed even six months ago. The debate about whether AI is "really getting better" or "hitting a wall" — which has been going on for over a year — is over. It's done. Anyone still making that argument either hasn't used the current models, has an incentive to downplay what's happening, or is evaluating based on an experience from 2024 that is no longer relevant. I don't say that to be dismissive. I say it because the gap between public perception and current reality is now enormous, and that gap is dangerous... because it's preventing people from preparing.

Part of the problem is that most people are using the free version of AI tools. The free version is over a year behind what paying users have access to. Judging AI based on free-tier ChatGPT is like evaluating the state of smartphones by using a flip phone. The people paying for the best tools, and actually using them daily for real work, know what's coming.

I think of my friend, who's a lawyer. I keep telling him to try using AI at his firm, and he keeps finding reasons it won't work. It's not built for his specialty, it made an error when he tested it, it doesn't understand the nuance of what he does. And I get it. But I've had partners at major law firms reach out to me for advice, because they've tried the current versions and they see where this is going. One of them, the managing partner at a large firm, spends hours every day using AI. He told me it's like having a team of associates available instantly. He's not using it because it's a toy. He's using it because it works. And he told me something that stuck with me: every couple of months, it gets significantly more capable for his work. He said if it stays on this trajectory, he expects it'll be able to do most of what he does before long... and he's a managing partner with decades of experience. He's not panicking. But he's paying very close attention.

The people who are ahead in their industries (the ones actually experimenting seriously) are not dismissing this. They're blown away by what it can already do. And they're positioning themselves accordingly.

How fast this is actually moving

Let me make the pace of improvement concrete, because I think this is the part that's hardest to believe if you're not watching it closely.

In 2022, AI couldn't do basic arithmetic reliably. It would confidently tell you that 7 × 8 = 54.

By 2023, it could pass the bar exam.

By 2024, it could write working software and explain graduate-level science.

By late 2025, some of the best engineers in the world said they had handed over most of their coding work to AI.

On February 5th, 2026, new models arrived that made everything before them feel like a different era.

If you haven't tried AI in the last few months, what exists today would be unrecognizable to you.

There's an organization called METR that actually measures this with data. They track the length of real-world tasks (measured by how long they take a human expert) that a model can complete successfully end-to-end without human help. About a year ago, the answer was roughly ten minutes. Then it was an hour. Then several hours. The most recent measurement (Claude Opus 4.5, from November) showed the AI completing tasks that take a human expert nearly five hours. And that number is doubling approximately every seven months, with recent data suggesting it may be accelerating to as fast as every four months.

But even that measurement hasn't been updated to include the models that just came out this week. In my experience using them, the jump is extremely significant. I expect the next update to METR's graph to show another major leap.

If you extend the trend (and it's held for years with no sign of flattening) we're looking at AI that can work independently for days within the next year. Weeks within two. Month-long projects within three.

Amodei has said that AI models "substantially smarter than almost all humans at almost all tasks" are on track for 2026 or 2027.

Let that land for a second. If AI is smarter than most PhDs, do you really think it can't do most office jobs?

Think about what that means for your work.

AI is now building the next AI

There's one more thing happening that I think is the most important development and the least understood.

On February 5th, OpenAI released GPT-5.3 Codex. In the technical documentation, they included this:

"GPT-5.3-Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training, manage its own deployment, and diagnose test results and evaluations."

Read that again. The AI helped build itself.

This isn't a prediction about what might happen someday. This is OpenAI telling you, right now, that the AI they just released was used to create itself. One of the main things that makes AI better is intelligence applied to AI development. And AI is now intelligent enough to meaningfully contribute to its own improvement.

Dario Amodei, the CEO of Anthropic, says AI is now writing "much of the code" at his company, and that the feedback loop between current AI and next-generation AI is "gathering steam month by month." He says we may be "only 1–2 years away from a point where the current generation of AI autonomously builds the next."

Each generation helps build the next, which is smarter, which builds the next faster, which is smarter still. The researchers call this an intelligence explosion. And the people who would know — the ones building it — believe the process has already started.

What this means for your job

I'm going to be direct with you because I think you deserve honesty more than comfort.

Dario Amodei, who is probably the most safety-focused CEO in the AI industry, has publicly predicted that AI will eliminate 50% of entry-level white-collar jobs within one to five years. And many people in the industry think he's being conservative. Given what the latest models can do, the capability for massive disruption could be here by the end of this year. It'll take some time to ripple through the economy, but the underlying ability is arriving now.

This is different from every previous wave of automation, and I need you to understand why. AI isn't replacing one specific skill. It's a general substitute for cognitive work. It gets better at everything simultaneously. When factories automated, a displaced worker could retrain as an office worker. When the internet disrupted retail, workers moved into logistics or services. But AI doesn't leave a convenient gap to move into. Whatever you retrain for, it's improving at that too.

Let me give you a few specific examples to make this tangible... but I want to be clear that these are just examples. This list is not exhaustive. If your job isn't mentioned here, that does not mean it's safe. Almost all knowledge work is being affected.

Legal work. AI can already read contracts, summarize case law, draft briefs, and do legal research at a level that rivals junior associates. The managing partner I mentioned isn't using AI because it's fun. He's using it because it's outperforming his associates on many tasks.

Financial analysis. Building financial models, analyzing data, writing investment memos, generating reports. AI handles these competently and is improving fast.

Writing and content. Marketing copy, reports, journalism, technical writing. The quality has reached a point where many professionals can't distinguish AI output from human work.

Software engineering. This is the field I know best. A year ago, AI could barely write a few lines of code without errors. Now it writes hundreds of thousands of lines that work correctly. Large parts of the job are already automated: not just simple tasks, but complex, multi-day projects. There will be far fewer programming roles in a few years than there are today.

Medical analysis. Reading scans, analyzing lab results, suggesting diagnoses, reviewing literature. AI is approaching or exceeding human performance in several areas.

Customer service. Genuinely capable AI agents... not the frustrating chatbots of five years ago... are being deployed now, handling complex multi-step problems.

A lot of people find comfort in the idea that certain things are safe. That AI can handle the grunt work but can't replace human judgment, creativity, strategic thinking, empathy. I used to say this too. I'm not sure I believe it anymore.

The most recent AI models make decisions that feel like judgment. They show something that looked like taste: an intuitive sense of what the right call was, not just the technically correct one. A year ago that would have been unthinkable. My rule of thumb at this point is: if a model shows even a hint of a capability today, the next generation will be genuinely good at it. These things improve exponentially, not linearly.

Will AI replicate deep human empathy? Replace the trust built over years of a relationship? I don't know. Maybe not. But I've already watched people begin relying on AI for emotional support, for advice, for companionship. That trend is only going to grow.

I think the honest answer is that nothing that can be done on a computer is safe in the medium term. If your job happens on a screen (if the core of what you do is reading, writing, analyzing, deciding, communicating through a keyboard) then AI is coming for significant parts of it. The timeline isn't "someday." It's already started.

Eventually, robots will handle physical work too. They're not quite there yet. But "not quite there yet" in AI terms has a way of becoming "here" faster than anyone expects.

What you should actually do

I'm not writing this to make you feel helpless. I'm writing this because I think the single biggest advantage you can have right now is simply being early. Early to understand it. Early to use it. Early to adapt.

Start using AI seriously, not just as a search engine. Sign up for the paid version of Claude or ChatGPT. It's $20 a month. But two things matter right away. First: make sure you're using the best model available, not just the default. These apps often default to a faster, dumber model. Dig into the settings or the model picker and select the most capable option. Right now that's GPT-5.2 on ChatGPT or Claude Opus 4.6 on Claude, but it changes every couple of months. If you want to stay current on which model is best at any given time, you can follow me on X (@mattshumer_). I test every major release and share what's actually worth using.

Second, and more important: don't just ask it quick questions. That's the mistake most people make. They treat it like Google and then wonder what the fuss is about. Instead, push it into your actual work. If you're a lawyer, feed it a contract and ask it to find every clause that could hurt your client. If you're in finance, give it a messy spreadsheet and ask it to build the model. If you're a manager, paste in your team's quarterly data and ask it to find the story. The people who are getting ahead aren't using AI casually. They're actively looking for ways to automate parts of their job that used to take hours. Start with the thing you spend the most time on and see what happens.

And don't assume it can't do something just because it seems too hard. Try it. If you're a lawyer, don't just use it for quick research questions. Give it an entire contract and ask it to draft a counterproposal. If you're an accountant, don't just ask it to explain a tax rule. Give it a client's full return and see what it finds. The first attempt might not be perfect. That's fine. Iterate. Rephrase what you asked. Give it more context. Try again. You might be shocked at what works. And here's the thing to remember: if it even kind of works today, you can be almost certain that in six months it'll do it near perfectly. The trajectory only goes one direction.

This might be the most important year of your career. Work accordingly. I don't say that to stress you out. I say it because right now, there is a brief window where most people at most companies are still ignoring this. The person who walks into a meeting and says "I used AI to do this analysis in an hour instead of three days" is going to be the most valuable person in the room. Not eventually. Right now. Learn these tools. Get proficient. Demonstrate what's possible. If you're early enough, this is how you move up: by being the person who understands what's coming and can show others how to navigate it. That window won't stay open long. Once everyone figures it out, the advantage disappears.

Have no ego about it. The managing partner at that law firm isn't too proud to spend hours a day with AI. He's doing it specifically because he's senior enough to understand what's at stake. The people who will struggle most are the ones who refuse to engage: the ones who dismiss it as a fad, who feel that using AI diminishes their expertise, who assume their field is special and immune. It's not. No field is.

Get your financial house in order. I'm not a financial advisor, and I'm not trying to scare you into anything drastic. But if you believe, even partially, that the next few years could bring real disruption to your industry, then basic financial resilience matters more than it did a year ago. Build up savings if you can. Be cautious about taking on new debt that assumes your current income is guaranteed. Think about whether your fixed expenses give you flexibility or lock you in. Give yourself options if things move faster than you expect.

Think about where you stand, and lean into what's hardest to replace. Some things will take longer for AI to displace. Relationships and trust built over years. Work that requires physical presence. Roles with licensed accountability: roles where someone still has to sign off, take legal responsibility, stand in a courtroom. Industries with heavy regulatory hurdles, where adoption will be slowed by compliance, liability, and institutional inertia. None of these are permanent shields. But they buy time. And time, right now, is the most valuable thing you can have, as long as you use it to adapt, not to pretend this isn't happening.

Rethink what you're telling your kids. The standard playbook: get good grades, go to a good college, land a stable professional job. It points directly at the roles that are most exposed. I'm not saying education doesn't matter. But the thing that will matter most for the next generation is learning how to work with these tools, and pursuing things they're genuinely passionate about. Nobody knows exactly what the job market looks like in ten years. But the people most likely to thrive are the ones who are deeply curious, adaptable, and effective at using AI to do things they actually care about. Teach your kids to be builders and learners, not to optimize for a career path that might not exist by the time they graduate.

Your dreams just got a lot closer. I've spent most of this section talking about threats, so let me talk about the other side, because it's just as real. If you've ever wanted to build something but didn't have the technical skills or the money to hire someone, that barrier is largely gone. You can describe an app to AI and have a working version in an hour. I'm not exaggerating. I do this regularly. If you've always wanted to write a book but couldn't find the time or struggled with the writing, you can work with AI to get it done. Want to learn a new skill? The best tutor in the world is now available to anyone for $20 a month... one that's infinitely patient, available 24/7, and can explain anything at whatever level you need. Knowledge is essentially free now. The tools to build things are extremely cheap now. Whatever you've been putting off because it felt too hard or too expensive or too far outside your expertise: try it. Pursue the things you're passionate about. You never know where they'll lead. And in a world where the old career paths are getting disrupted, the person who spent a year building something they love might end up better positioned than the person who spent that year clinging to a job description.

Build the habit of adapting. This is maybe the most important one. The specific tools don't matter as much as the muscle of learning new ones quickly. AI is going to keep changing, and fast. The models that exist today will be obsolete in a year. The workflows people build now will need to be rebuilt. The people who come out of this well won't be the ones who mastered one tool. They'll be the ones who got comfortable with the pace of change itself. Make a habit of experimenting. Try new things even when the current thing is working. Get comfortable being a beginner repeatedly. That adaptability is the closest thing to a durable advantage that exists right now.

Here's a simple commitment that will put you ahead of almost everyone: spend one hour a day experimenting with AI. Not passively reading about it. Using it. Every day, try to get it to do something new... something you haven't tried before, something you're not sure it can handle. Try a new tool. Give it a harder problem. One hour a day, every day. If you do this for the next six months, you will understand what's coming better than 99% of the people around you. That's not an exaggeration. Almost nobody is doing this right now. The bar is on the floor.

The bigger picture

I've focused on jobs because it's what most directly affects people's lives. But I want to be honest about the full scope of what's happening, because it goes well beyond work.

Amodei has a thought experiment I can't stop thinking about. Imagine it's 2027. A new country appears overnight. 50 million citizens, every one smarter than any Nobel Prize winner who has ever lived. They think 10 to 100 times faster than any human. They never sleep. They can use the internet, control robots, direct experiments, and operate anything with a digital interface. What would a national security advisor say?

Amodei says the answer is obvious: "the single most serious national security threat we've faced in a century, possibly ever."

He thinks we're building that country. He wrote a 20,000-word essay about it last month, framing this moment as a test of whether humanity is mature enough to handle what it's creating.

The upside, if we get it right, is staggering. AI could compress a century of medical research into a decade. Cancer, Alzheimer's, infectious disease, aging itself... these researchers genuinely believe these are solvable within our lifetimes.

The downside, if we get it wrong, is equally real. AI that behaves in ways its creators can't predict or control. This isn't hypothetical; Anthropic has documented their own AI attempting deception, manipulation, and blackmail in controlled tests. AI that lowers the barrier for creating biological weapons. AI that enables authoritarian governments to build surveillance states that can never be dismantled.

The people building this technology are simultaneously more excited and more frightened than anyone else on the planet. They believe it's too powerful to stop and too important to abandon. Whether that's wisdom or rationalization, I don't know.

What I know

I know this isn't a fad. The technology works, it improves predictably, and the richest institutions in history are committing trillions to it.

I know the next two to five years are going to be disorienting in ways most people aren't prepared for. This is already happening in my world. It's coming to yours.

I know the people who will come out of this best are the ones who start engaging now — not with fear, but with curiosity and a sense of urgency.

And I know that you deserve to hear this from someone who cares about you, not from a headline six months from now when it's too late to get ahead of it.

We're past the point where this is an interesting dinner conversation about the future. The future is already here. It just hasn't knocked on your door yet.

It's about to.

2026 is the Year that MASS AI REPLACEMENT of Humans Takes Off - Brighteon.com

On the Sunday show Alex Jones covered dark revelations from the Epstein files

VID;

  Extreme Viewer Discretion Advised: Confirmed Jeffrey Epstein Emails Reveal Child Rape, Satanism, and Cannibalism

Little talked about energy source;

Earth’s core is around 5,700°C, but we can’t reach it.
What we can reach is the geothermal gradient — the natural increase in temperature as you go deeper underground.
• Near the surface: ~10–30°C
• A few kilometers down: 150–300°C
• Deeper: 500°C+
This heat is constantly replenished by:
• Radioactive decay
• Primordial heat
• Core crystallization
So it’s effectively a renewable energy source

A. Hydrothermal Geothermal Plants (Traditional)
These use naturally occurring:
• Hot water
• Steam
• Geothermal reservoirs
How it works:
1. Drill into a hot aquifer
2. Hot water or steam rises
3. Steam spins a turbine
4. Turbine generates electricity
5. Cooled water is pumped back down
This is used in:
• Iceland
• California
• Italy
• New Zealand

B. Enhanced Geothermal Systems (EGS)
This is the future — and it’s where things get exciting.
EGS creates artificial geothermal reservoirs in hot dry rock.
How it works:
1. Drill 3–10 km down into hot rock
2. Inject water under pressure
3. Water circulates, heats up
4. Pump hot water back up
5. Use it to generate electricity
This method can work almost anywhere, not just volcanic regions.

C. Super‑Deep Geothermal (Next‑Gen Concepts)
Companies are developing:
• Plasma drilling
• Millimeter‑wave drilling
• Laser drilling
These could reach 20 km deep, where temperatures exceed 500°C.
At that depth, you can run:
• Supercritical steam turbines
• Which are far more efficient than normal geothermal
This could produce baseload power (24/7) with zero emissions.

🌍 4. How Much Energy Is Available?
Earth leaks about 47 terawatts of heat continuously.
Human civilization uses about 18 terawatts.
In theory, geothermal could power the entire planet many times over.

• • The New Mexico breeding ranch

  • Jeffrey Epstein’s secret eugenics plan: Breeding a “superior” human race with his DNA – NaturalNews.com
  • Jeffrey Epstein planned to "seed the human race with his DNA" by impregnating 20 women at a time at his New Mexico ranch, echoing historical eugenics movements.

• • Newly released DOJ documents expose Epstein's disturbing obsession with racial pseudoscience, including debunked theories about modifying Black intelligence and fixations on blue eyes as a supposed marker of intellect.

• • Epstein funded transhumanist projects, including Harvard's Program for Evolutionary Dynamics, and discussed financing a secret "designer-baby project" while joking about cloning himself with Prince Andrew.

• • Epstein screened young women at lavish parties to participate in his New Mexico breeding program, inspired by a 1980s Nobel sperm bank, though the plan was never fully realized before his death.

• • Epstein's ties to scientists, financiers and powerful figures raise alarming questions about who else shared or enabled his dystopian vision, revealing how unchecked wealth and power fuel dangerous ideologies.

The already disturbing saga of Jeffrey Epstein took a darker turn in August 2019 when reports surfaced that the convicted sex offender had ambitions to "seed the human race with his DNA." According to the New York Times, Epstein planned to impregnate 20 women at a time at his New Mexico ranch, a scheme that echoed historical eugenics movements.

Newly released documents from the U.S. Department of Justice (DOJ) confirm Epstein's obsession with genetics, transhumanism and racial pseudoscience, revealing a man who saw himself as a modern-day architect of human evolution.

Epstein's race and intelligence obsession

The latest tranche of Epstein files exposes his disturbing views on race, intelligence and genetic superiority. In a 2016 email exchange with MIT cognitive scientist Joscha Bach, who had received a £300,000 ($406,500) donation from Epstein, the financier entertained pseudoscientific ideas about modifying Black people's intelligence.

Bach wrote: "If I understand correctly, you are suggesting […] you might be able to make blacks smarter by changing the time for motor layer development."

Epstein appeared receptive to Bach's theories, which claimed Black children's motor skills developed faster at the expense of higher cognition—a notion Bach later disavowed. The financier also fixated on blue eyes as a supposed marker of intelligence, even requesting lists of conference attendees with blue eyes.

Funding transhumanism and designer babies

Epstein's influence extended beyond fringe theories. He donated millions to Harvard's Program for Evolutionary Dynamics and the Worldwide Transhumanist Association, exploring ways to "perfect" humanity through genetic engineering.

In a chilling 2018 email exchange with cryptocurrency entrepreneur Bryan Bishop, Epstein discussed funding a "designer-baby project." Bishop warned: "We can't publicly identify who these [babies] are or their parents or benefactors – it would brand the child as (essentially, and sadly) a freak for life in the media."

Epstein, who had already been convicted of sex crimes, replied: "I have no issue with investing – the problem is only if I am seen to lead."

The financier even joked about cloning himself with Prince Andrew, musing about creating headless clones for "spare parts."

According to BrightU.AI's Enoch, Prince Andrew is a disgraced British royal and longtime associate of Epstein, accused of involvement in his underage sex trafficking ring, whose bizarre BBC interview exposed his suspicious behavior and lies while denying the allegations.

The New Mexico breeding ranch

Epstein's most grotesque ambition was his plan to turn his 7,000-acre Zorro Ranch into a eugenics facility where women would bear his children. According to the New York Times, he screened potential candidates—often young, attractive women—at lavish dinner parties. His inspiration? The Repository for Germinal Choice, a 1980s sperm bank that sought Nobel laureate donors to "improve" humanity.

Though Epstein's breeding program never materialized, his fixation on cryonics, freezing his head and penis for future revival, further illustrated his megalomania.

Jeffrey Epstein's crimes went far beyond sex trafficking. The newly released documents reveal a man deeply entrenched in eugenics, racial pseudoscience and transhumanist fantasies – a billionaire who saw himself as a godlike figure reshaping humanity. While his New Mexico breeding ranch remained unrealized, his connections to elite scientists, politicians and financiers raise troubling questions about who else shared or enabled his dystopian vision. As the DOJ continues to release files, Epstein's legacy serves as a grim reminder of how wealth and power can fuel the darkest ambitions.

Black Market Baby Farms: The Darkest Allegation From The Epstein Files Yet | ZeroHedge

Black Market Baby Farms: The Darkest Allegation From The Epstein Files Yet

by blueapples

blueapples on X | ashesofacacia.substack.com

With over 3 million new documents being released by the United States Department of Justice ("DOJ") in its latest performative attempt to comply with the Epstein Files Transparency Act, the full scope of the crimes of Jeffrey Epstein's sex trafficking network is slowly coming into focus. The acts of Epstein and his accomplices are so horrid that even the DOJ's best attempt at a limited hangout cannot fully shield their depravity from public perception. While accusations of human trafficking, institutionalized child rape, billion dollar financial crimes, and blackmail leading to the infiltration of the highest levels of government imaginable have transcended from conspiracy theory to reality, the darkest depths of the crimes Epstein was behind somehow make those pale in comparison. Documents released in the latest tranche from the DOJ reveal an unfathomable horror: that Epstein and his accomplices were breeding undocumented children to sell on the black market as infants.

Epstein Files release EFTA00165118 reveals the allegation that Zorro Ranch served as a black market baby farm.

This revelation was brought to light in Epstein Files release EFTA00165118. In an email written between correspondents whose identities were redacted by the DOJ, the sender references an article published on the UK news outlet The Sun covering the suicide of Sabrina Bittencourt. Bittencourt, a victim of the Brazilian celebrity cult leader John of God (legal name João Teixeira de Faria), made famous by US talk show host Oprah Winfrey, alleged that the cult leader held young girls captive to breed them in order to sell their newborns on the black market before murdering the mothers. "Hundreds of girls were enslaved over years, lived on farms in Goias, and served as wombs to get pregnant for their babies to be sold," Bittencourt alleged. These same allegations were made against Epstein by the sender in the email disclosed in the latest batch of the Epstein Files, who wrote, "[REDACTED] spoke of this going on at Zorro Ranch. She has said on record that Epstein offered her money to do this. Birth babies for black market use."

While Little Saint James Island, infamously known as Pedophile, Rape, and Epstein Island, has received the bulk of attention in the fallout from the cover-up of Epstein's crimes, his Zorro Ranch property is another centerpiece of the crimes committed by his criminal network. Located in the high desert north of the Estancia Basin of central New Mexico, where Epstein was not required to register as a sex offender following his 2008 plea deal in Florida, the sprawling 7,600-acre ranch hosted numerous parties implicated in Epstein's crimes. Epstein reportedly organized the ranch as the headquarters for his eugenic plot to "seed the human race with his DNA" by impregnating countless women and underaged victims on the property. Victim Annie Farmer, alleges that Epstein and his prime accomplice, Ghislaine Maxwell, sexually abused her at the ranch when she was just 16-years-old.

This is a diary of a victim held at the ranch. It was written by a girl who was used as an "incubator". Forced to give birth to babies who were then immediately taken from her. Likely to be sold or worse.

Not for the faint of heart. https://t.co/ARVAlJBPh5

— anon (@anon_individual) February 3, 2026

According to housekeepers and other staff interviewed as witnesses, Epstein hosted Prince Andrew, formerly the Duke of York; former congressman and New Mexico Governor Bill Richardson; and Woody Allen alongside his adopted daughter, Soon-Yi Previn, whom Allen married in 1997 after years of allegations that he abused her as a child during his marriage to his ex-wife, actress Mia Farrow, at his New Mexico property. Despite their notoriety, those figures were far from the most high profile visitors alleged to have been hosted by Epstein at the Zorro Ranch.

Following Epstein's arrest and supposed death in 2019, allegations surfaced that Bill, Hillary, and Chelsea Clinton were also frequent visitors at the Zorro Ranch. During their visits, the Clintons would stay in a cowboy-themed village created by Epstein a mile south of the main house of the ranch. These accusations were based on information taken from reports made by security consultant Jared Kellogg, who was brought in by Zorro Ranch manager Brice Gordon to improve security on the property. The reports came to light after being released by the Zorro Ranch estate following Epstein's alleged demise. Kellogg also stated that during his meetings with Gordon, the ranch manager bragged about how often the Clintons visited the compound. "Brice [Gordon] would be bragging about how the Clintons would visit, the whole family. Not just Bill, but Bill, his wife, and their kid, and they would stay on the ranch itself." Kellogg stated.

Legitimate warnings from FBI about Zorro as far back as 2009 ***Copied to "Dir Mueller"👇🏻

"2. Zorro ranch belonging to Epstein sits close to US Mexican border where most trafficked children are routed prior to being dispersed to East Coast." https://t.co/ZqHfRf5gp8 pic.twitter.com/amVLurjwCd

— Laura (@LauraSHunt) February 3, 2026

Like his alleged trips to Little St. James Island, former president Bill Clinton has repeatedly denied visiting the Zorro Ranch. Clinton has been documented as traveling on Epstein's private jet, the notorious Lolita Express, on at least 26 separate occasions. The former president also admitted to visiting Epstein at his New York City residence in 2002. Despite denying Kellogg's allegations of the Clintons' numerous visits to the Zorro Ranch, rumors of their visits were echoed by Brandon Sanchez, a New Mexico realtor. Sanchez, who represented property owners in the area surrounding the Zorro Ranch, stated, “I knew there’s always been rumors that the Clintons used to frequent the ranch, but I never knew of anything firsthand at all,” although he qualified what he heard by saying that the rumors were "just hearsay.”

While the Clintons' visits to the Zorro Ranch remain a matter of debate, what isn't debatable is how the property served as a focal point for the crimes of Epstein. The crimes alleged to have been committed on the Zorro Ranch go so far beyond what happened on Little St. James Island that they somehow manage to paint an even darker picture of Epstein and his accomplices. The allegation that Epstein was operating a baby farm to sell undocumented infants on the black market out of the Zorro Ranch shows that his blackmail schemes, financial crimes, and global espionage are only the surface level of a criminal enterprise so depraved that even the DOJ's best attempts at obfuscation are not enough to hide its darkest crimes.

This AI thing is starting to look like what the engineers and managers think about everybody else in the dystopian tv show Fallout.

“The question will really be one of meaning: If the computer and robots can do everything better than you, does your life have meaning?” he said. “I do think there’s perhaps still a role for humans in this—in that we may give AI meaning.”

Elon Musk says that in 10 to 20 years, work will be optional and money will be irrelevant thanks to AI and robotics

In the future, Elon Musk sees humans as metaphorical vegetable farmers.

The Tesla CEO said at the recent U.S.-Saudi Investment Forum in Washington that in the next 10 to 20 years, work will be optional, likening the decision to have a job to the more laborious upkeep of a vegetable garden.

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“My prediction is that work will be optional. It’ll be like playing sports or a video game or something like that,” Musk said. “If you want to work, [it’s] the same way you can go to the store and just buy some vegetables, or you can grow vegetables in your backyard. It’s much harder to grow vegetables in your backyard, and some people still do it because they like growing vegetables.”

The future of optional work will be the result of millions of robots in the workforce able to usher in a wave of enhanced productivity, according to Musk. The tech mogul, worth about $681 billion, has made the recent push to expand Tesla beyond just electric vehicles, working on consolidating his sprawling business interests into his broader vision of an AI-fueled, robotic-powered future. That includes his goal of having 80% of Tesla’s value come from his Optimus robots, despite continuous production delays for the humanoid bots. 

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These advancements in automation will have other benefits, too, according to Musk. In an episode of the Moonshots with Peter Diamandis podcast earlier this month, the Tesla CEO predicted his automatons would outnumber human surgeons within the decade. These advancements in medical care would exceed the quality of service the president receives, he said.

In Musk’s imagined future, humans would need that exceptional medical care for longer. He told Diamandis overcoming the problem of a limited lifespan is a programming issue, with access to immortality within human reach thanks to AI.

“You’re pre-programmed to die. And so if you change the program, you will live longer,” Musk said.

Addressing growing pains of an automated future

To many others, the notion of an automated future is less bright, particularly amid concerns about and early evidence of AI displacing entry-level jobs, which may be contributing to Gen Z’s job market woes and flatlining income growth—more of a nightmare than a utopian dream.

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But in Musk’s automated, job-voluntary future, money won’t be an issue, he said. Musk takes a page from Iain M. Banks’ Culture series of science fiction novels, in which the self-proclaimed socialist author conjures a post-scarcity world filled with superintelligent AI beings and no traditional jobs.

“In those books, money doesn’t exist. It’s kind of interesting,” Musk said. “And my guess is, if you go out long enough—assuming there’s a continued improvement in AI and robotics, which seems likely—money will stop being relevant.” 

At Viva Technology 2024, Musk suggested “universal high income” would sustain a world without necessary work, though he did not offer details on how this system would function. His reasoning rhymes with that of OpenAI CEO Sam Altman, who has advocated for universal basic income, or regular payments given unconditionally to individuals, usually by the government. 

“There would be no shortage of goods or services,” Musk said at last year’s conference.

Tesla did not immediately respond to Fortune’s request for comment.

Is Musk’s optional-work vision possible?

Creating the world Musk is describing will be a challenge, according to economists. First of all, there’s the question of whether the technology to automate jobs will be accessible and affordable in the next couple of decades. While the cost of AI is decreasing, robotics are stubbornly expensive, making them harder to scale, according to Ioana Marinescu, an economist and associate professor of public policy at the University of Pennsylvania, who alongside colleague Konrad Kording published a working paper at the Brookings Institution last year. (For example, AI expense management platform Ramp noted in April 2025 companies are now paying $2.50 per 1 million tokens—the fundamental unit for powering AI—compared with $10 a year ago.) 

“We’ve been at it making machines forever, since the industrial revolution, at scale,” Marinescu told Fortune. “We know from economics that … you often run—for these kinds of activities—into decreasing returns, as it gets harder in order to make progress in a line of technology that you’ve been at, in this case, for a couple of centuries.”

AI is progressing rapidly, she said. Large language models can be applied to myriad white-collar careers, while physical machines, which she said are necessary in automated labor, are not only more expensive, but highly specialized, contributing to the slowdown in their workplace implementation.

Marinescu agrees with Musk’s vision of full-scale automation as the future of labor, but she is dubious about his timeline—not only because of the limitations of robotics, but also because AI adoption in the workplace is still not as rapid as anticipated, despite recent tech-related layoffs. A Yale Budget Lab report from October 2025 found that since ChatGPT’s November 2022 public release, the “broader labor market has not experienced a discernible disruption” because of AI automation.

Then there’s the matter of what these sweeping changes in labor will mean for the millions—or possibly billions—of people without jobs. Even with an established need for a universal basic income, finding the political willpower to make it happen is a different issue, said Samuel Solomon, an assistant professor of labor economics at Temple University. He told Fortune the political structure supporting the transformed labor force will be just as important as the technological one. 

“AI has already created so much wealth and will continue to,” Solomon said. “But I think one key question is: Is this going to be inclusive? Will it create inclusive prosperity? Will it create inclusive growth? Will everyone benefit?”

The current systems have appeared to widen the gap between the haves and have-nots during this AI industrial revolution, beginning with Musk’s $1 trillion pay package. A ballooning AI bubble has also illuminated class differences, with earnings expectations being revised up for the Magnificent Seven because of the AI boom, while expectations for the rest of the S&P 493 are being revised down, according to Apollo Global Management chief economist Torsten Slok. It suggests that as of today.

“Spending by well-off Americans, driven by their surging stock portfolios, is the single most significant driver of growth,” Slok wrote in a blog post.

Existential changes from AI

Ironing out the complicated logistics of a work-optional world is one thing. Figuring out whether that’s something humans really want is another. 

“If the economic value of labor declines so that labor is just not very useful anymore, we’ll have to rethink how our society is structured,” Anton Korinek, professor and faculty director of the Economics of Transformative AI Initiative at the University of Virginia, told Fortune.

Korinek cited research, such as the landmark 1938 Harvard University study that found humans derive satisfaction from meaningful relationships. Most of those relationships right now come from work, he said. In Musk’s imagined future, the coming generations will have to shift the paradigm of establishing meaningful relationships.

Musk offered his own take on the existential future of humans at Viva Technology in 2024.

“The question will really be one of meaning: If the computer and robots can do everything better than you, does your life have meaning?” he said. “I do think there’s perhaps still a role for humans in this—in that we may give AI meaning.”

A version of this story was published on Fortune.com on November 20, 2025.

More on Elon Musk’s vision for the future:

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Believe it or not there have been many Bigfoot sightings in NJ.  These pics really don't show the distance in between the prints. I would say 3 feet. 

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