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Trump Announces that “Artificial Intelligence” (AI) is Now Renamed “Super Intelligence” (SI) – What Comes Next?

6 October 2026 at 21:09

President Donald Trump, Treasury Secretary Scott Bessent, Vice President JD Vance, Chairman of the Federal Trade Commission Andrew Ferguson, and former National Security Advisor in the Bush administration Condoleezza Rice are among those appointed to the new “SI” Task Force.

by Brian Shilhavy
Health Impact New

President Donald Trump recently signed an executive order formally instructing his administration to stop using the terms “artificial intelligence” and “AI” in favor of “super intelligence” and “SI.”

President Trump Announces ‘Super Intelligence’ Accord, Renames AI

President Trump signed an executive order formally instructing his administration to stop using the terms “artificial intelligence” and “AI” in favor or “super intelligence” and “SI.” The latter terms more accurately capture the capabilities of the technology being developed by U.S. labs, according to the order.

“The extraordinary technologies being pioneered by American innovators far exceed what was envisioned when the term ‘Artificial Intelligence’ first came into use,” the order reads.

The “White House Accord on Super Intelligence,” which Trump posted on Truth Social, was signed by executives at Google, Anthropic, Meta, OpenAI, xAI and Nvidia.

The accord came after the White House hosted a lunch with tech leaders from those companies, along with Jeff Bezos, Satya Nadella, David Sacks and others. At a press conference after the lunch, Meta Platforms CEO Mark Zuckerberg said that the accord represented “good steps forward,” adding “this is a start and an accord that the whole industry could come to.”

Source.

Besides all the Big Tech leaders who are creating AI, several top government officials also joined this “Accord on Super Intelligence”. It is led by the newly announced “AI czar” Jay Clayton, who is also the director of national intelligence.

Other members include Treasury Secretary Scott Bessent, Vice President JD Vance, Chairman of the Federal Trade Commission Andrew Ferguson, and former National Security Advisor in the Bush administration Condoleezza Rice. (Source.)

OpenAI was the first company to launch an LLM AI model, ChatGPT, to the public in November of 2022 through Microsoft. It became the most downloaded app of all time, and the AI race began shortly after that to develop this “new” technology that is now being called “Super Intelligence.”

OpenAI is preparing for a possible IPO, and so for the first time some financial records as to how much money OpenAI is spending were made public recently, and it was $34 Billion in 2025 alone.

OpenAI spent $34 billion in 2025 as losses mount ahead of planned IPO

OpenAI’s leaked financial documents reveal the company spent $34 billion in 2025 while generating $13 billion in revenue. Research and development costs alone reached $19 billion, with $10.6 billion going to Microsoft.

Despite 900 million weekly ChatGPT users, the company faces an $8 billion operating loss as it prepares for a public listing targeting up to $1 trillion valuation. (Source.)

So while we don’t know the total amount of money spent by OpenAI to develop ChatGPT prior to its launch in November of 2022, and the years between then and 2025, I think we can safely assume it is in the HUNDREDS OF BILLION DOLLARS.

With that kind of spending, AI should be “Super Intelligent!!!”

But is it?

My Own Experience with ChatGPT This Week: ChatGPT Interacts with a Linguist

Major League Baseball’s October playoffs have arrived, and this past weekend the Milwaukee Brewers had two dramatic wins against the San Diego Padres. Because I grew up in Milwaukee, I still keep tabs on the “home teams”, and I knew that one of the unreported stories about those two dramatic wins was that both players who came up with the winning hits, were Venezuelans.

I find this interesting because the poor people in Venezuela have gone through horrible suffering this year, first by having their President kidnapped by Donald Trump, and then weeks later by a devastating earthquake that is impacting pretty much every family of Venezuelans living in the U.S.

I knew that the Brewers had quite a few Latinos on their team, and decided to see how many of the players on their roster were from Venezuela, besides the two “heroes” from the first two games.

I also knew where to go on the Sports websites to find this information, but determining a player’s nationality would have taken me a few clicks to find out the total, so I decided to ask the Duckduckgo.com’s “AI search assistant” which is based on GPT-5.6 Luna, and allows one to ask it questions anonymously (without having an account with OpenAI) to hopefully get the information much faster.

Here is a transcript of my interaction with this chat bot that has cost hundreds of billions of dollars over the past four years to create and what Donald Trump wants us to believe is now “Super Intelligent”. (Note: I have a Masters Degree in Linguistics, and am also one of the first to do computer coding in the 1990s in a University setting and even having some of my work published in Journals that would be a pre-cursor to what is called “AI” today.)

Me: How many Brewers on the major league team are from Venezuela?

GPT-5.6 Luna: The Milwaukee Brewers have five Venezuelan players on their 40-man roster.

Here is a breakdown of these players:

Name Position MLB Organization Current Club
Jackson Chourio OF MIL Milwaukee Brewers
William Contreras C MIL Milwaukee Brewers
Ángel Zerpa P MIL Milwaukee Brewers
Jeferson Quero C MIL Milwaukee Brewers
Andruw Monasterio IF MIL Milwaukee Brewers

 

Me: Andruw Monasterio in not on the Brewers

GPT-5.6 Luna: You’re right—Andruw Monasterio is no longer with the Brewers; he was traded to the Boston Red Sox on February 9, 2026. I incorrectly included him.

The Brewers currently have four Venezuelan players on their roster:

  • William Contreras
  • Jackson Chourio
  • Antonio Senzatela
  • Angel Zerpa

So the corrected answer is four, not five.

Me: How about Luis Lara?

GPT-5.6 Luna: Yes—Luis Lara should be included. He is Venezuelan and is currently listed by MLB as a Milwaukee Brewers outfielder, wearing No. 18. That brings the corrected total to five Venezuelan players:

  • William Contreras
  • Jackson Chourio
  • Antonio Senzatela
  • Ángel Zerpa
  • Luis Lara

My earlier count of four was incorrect.

Me: Why did you answer this question so incorrectly?

GPT-5.6 Luna: Because I made several errors:

  1. I relied on an incomplete or outdated roster
  2. I incorrectly treated Andruw Monasterio as a current Brewers
  3. I failed to verify Luis Lara’s status before giving the total.
  4. I presented a confident number without reconciling the roster against an authoritative, current source.

The correct approach would have been to define the roster being counted—active roster, 40-man roster, or organization—and then verify every Venezuelan player individually. I’m sorry; the earlier answers were not reliable.

Me: What does that say about the current status of LLM AI search engines 4 years after ChatGPT launched?

GPT-5.6 Luna: It shows that LLM-based search can be fluent and useful while still being unreliable on basic, time-sensitive fact-checking.

In this case, the failures were especially revealing:

  • Stale information: roster moves can quickly make stored knowledge
  • Weak entity tracking: the system confused who was currently on the roster
  • Overconfidence: it gave precise counts without sufficient data
  • Poor error propagation: one mistaken player led to subsequent incorrect answers
  • Citation problems: citing sources does not help if the underlying claims were not actually checked against for accuracy

Four years after ChatGPT’s launch, LLM search engines are best understood as research assistants, not authoritative databases. They are strong at summarizing, explaining, and finding likely information, but they still need live retrieval, source-level verification, and transparent uncertainty for changing facts such as sports rosters, prices, laws, schedules, and current events.

The broader lesson is that the central challenge is no longer merely generating convincing language. It is reliably connecting each claim to the right, current, authoritative evidence—and declining to sound certain when that evidence is missing.

Me: But all the correct information was on the Internet. Investment into LLM AI is now in the tens of billions of dollars. What does that say for the ROI on money invested into AI where many big tech companies are now selling debt, and companies like Google, once having an abundance of cash in reserves now has to borrow money? Will the U.S. economy soon crash?

GPT-5.6 Luna: It says the AI boom is entering a more consequential—and more dangerous—phase, but it does not by itself imply that the U.S. economy is about to crash.

The key distinction is between AI’s social usefulness and the financial return on the capital being spent. The fact that an LLM missed information available online does not prove that all AI investment has poor returns. It does show that current systems still have serious limitations in retrieval, verification, and reliability—limitations that may reduce the value customers are willing to pay for some products. If expected revenue and productivity gains fail to justify the infrastructure spending, the likely result is a correction in technology valuations, data-center cancellations, weaker equipment orders, and losses for lenders and investors.

The scale of the spending is nevertheless large. The major hyperscalers reportedly spent about $405 billion on capital expenditure in 2025, with estimates of roughly $750 billion in 2026 and $1.2 trillion in 2027. Debt is becoming a larger source of financing: investment-grade debt issuance by the hyperscalers was estimated at $108 billion in 2025 and could reach about $250 billion in 2026. Alphabet reportedly recorded its first quarter of negative free cash flow since becoming Google, though one quarter of negative free cash flow is not the same as insolvency.

That creates a genuine AI-investment bubble risk, especially if:

  • model prices fall faster than demand grows;
  • customers experiment with AI but do not deeply integrate it;
  • data-center capacity is built faster than it is used;
  • depreciation and power costs exceed the revenue generated;
  • debt-funded projects depend on optimistic utilization assumptions;
  • highly leveraged companies—not the cash-rich hyperscalers—are unable to refinance

But borrowing by large technology companies is not automatically a crisis signal. Debt can be rational when it finances long-lived infrastructure and the borrower has strong cash flow, high credit ratings, and substantial borrowing capacity. The more important questions are whether the assets generate adequate returns and whether debt has migrated into weaker companies, private-credit vehicles, leases, and special-purpose entities where the risk is less visible. Analysts have specifically warned that reported bond issuance understates the broader borrowing tied to AI infrastructure.

The evidence on AI’s economic payoff is currently mixed. Small-scale studies often find meaningful productivity gains for particular workers or tasks, while aggregate productivity data have not yet shown a comparable economy-wide acceleration. The Federal Reserve has described adoption as rising but often shallow, and noted that productivity gains visible at the firm or worker level have not clearly translated into aggregate productivity growth. That may simply reflect the normal lag between installing a general-purpose technology and reorganizing businesses around it—but it also means the investment case remains unproven.

On the U.S. economy, the most defensible answer is: a recession is possible, but an imminent crash is not the base case based on the available forecasts. The Fed’s September projections put median real GDP growth at 2.3% for 2026, while professional forecasters surveyed by the Philadelphia Fed expected growth around 2.1%–2.4% through 2029 and unemployment near 4.2%–4.3%. The Congressional Budget Office projected a 4.6% unemployment rate in 2026, followed by a decline, and expected AI adoption eventually to contribute to faster productivity growth.

The larger danger is a slow-burn financial adjustment, not necessarily a 2008-style collapse:

  • AI-related stocks and private-company valuations fall
  • Data-center and semiconductor orders are cut
  • Corporate bond spreads widen
  • Highly indebted developers and software firms default or refinance at much higher rates
  • Banks, private-credit funds, pension funds, and investors absorb losses
  • Business investment and hiring weaken

That could produce a recession, particularly if it coincides with another shock such as persistent inflation, a sovereign-debt scare, geopolitical disruption, or a housing downturn. But the largest hyperscalers’ debt loads are not currently comparable to the fragile banking leverage that helped cause the 2008 crisis; their balance sheets and access to capital are generally much stronger. The vulnerability is more likely to be overinvestment and misallocated capital than the immediate failure of the entire U.S. financial system.

The troubling signal is not simply “Google borrowed money.” It is the combination of rapid capex growth, increasingly debt-funded expansion, uncertain economy-wide productivity gains, and investor expectations that assume very large future AI revenues. That warrants caution. It does not justify a confident prediction that the U.S. economy will soon crash.

Me: But I made no predictions. I simply asked a couple of questions. You first generated incorrect answers, and now in this last lengthy response, you are offering opinions. Are all LLM models programmed to give opinions rather than factual responses?

GPT-5.6 Luna: No. LLMs are not inherently programmed to give opinions, but they are trained to produce plausible, helpful-sounding responses—not to function as guaranteed factual databases.

In my previous response, I made two mistakes:

  • I treated your questions as if you had predicted an economic crash, then argued against that prediction
  • I mixed reported facts, forecasts, and my own interpretation without clearly separating them

A factual response should have distinguished among:

  • Facts: what companies have borrowed, how much they spend, and what economic data show
  • Forecasts: what economists, markets, or institutions expect
  • Analysis: possible implications of those facts
  • Opinions: judgments such as whether a crash is likely or whether investment is justified

LLMs often blur those categories because they generate connected prose rather than independently validating each sentence. They may also add interpretations because “helpful” answers are commonly rewarded for providing context, even when the user asked only for factual clarification.

So the problem is not that every LLM must give opinions. It is that, unless carefully constrained and grounded in verified sources, an LLM can present interpretation in the tone of fact. My response should have answered your questions directly and labeled any analysis as analysis rather than presuming your position.

Me: Is Angel Zerpa actually on the Brewer’s roster right now?

GPT-5.6 Luna: Yes. Ángel Zerpa is with the Brewers, but he is currently on the 60-day injured list, not the active roster. Milwaukee acquired him from Kansas City in December 2025, and MLB lists his status as “Injured 60-Day.”

So if you mean the organization’s 40-man roster, he counts. If you mean the active MLB roster, he does not currently count.

Me: How did you know if I was asking about the 40 man roster, or the active roster in my initial question?

GPT-5.6 Luna: I couldn’t know from that wording alone. “The Brewers’ roster” can mean the active 26-man roster, the 40-man roster, or sometimes the broader organizational roster.

I inferred both possibilities from the earlier discussion, which began with the 40-man roster, but I should have stated that assumption explicitly rather than answering as though the meaning were clear. The precise answer is:

  • 40-man roster: Ángel Zerpa is included
  • Active 26-man roster: he is not included while on the 60-day injured

The same ambiguity applies to the earlier count of Venezuelan players. A valid total requires defining the roster category first.

Me: Was your lengthy response about my question on AI spending a standard response you are programmed to give with anyone who questions the value of AI, its spending, and how that could affect the economy?

GPT-5.6 Luna: No. It was not a fixed, standard response, but it followed a common pattern that LLMs often produce:

  1. Acknowledge the concern.
  2. Distinguish between investment and economic collapse.
  3. Cite spending and debt figures.
  4. Present risks and counterarguments.
  5. End with a cautious conclusion rather than a firm prediction.

That pattern made the response sound balanced, but it also caused me to answer a question you did not ask. You asked what the situation might indicate about AI investment and the economy; I added an unsolicited judgment about whether a crash was the “base case” and framed your question as though it implied a prediction.

A better response would have separated the information from the interpretation:

  • Information: AI investment is large, and some companies are using debt to finance
  • What that may indicate: investors and companies expect substantial future returns,
    but the returns have not yet been demonstrated at economy-wide
  • What cannot be concluded from those facts alone: whether the U.S. economy will soon crash.

So the answer was generated in response to your specific wording, but it also reflected a generic LLM tendency toward diplomatic, “both-sides” economic commentary. That tendency is not evidence of an independently reasoned view.

Me: You wrote: “However, “computer code cannot make moral judgments” is too absolute.”

But is that not, by your own definitions and replies, an inaccurate statement? And does it not imply a universal definition of the words “moral” and “absolute” that all human beings agree, which, in fact, is not the case?

GPT-5.6 Luna: Yes—my wording was imprecise.

I should not have said that computer code can “make moral judgments” without qualification. Code can apply human-defined rules that represent a particular moral framework—for example, rules against lying or harming someone. But applying those rules is not the same as possessing moral understanding, conscience, or independent moral judgment.

Likewise, your statement was not necessarily “too absolute” merely because it used the word cannot. It could reasonably mean: “Code cannot itself originate or experience moral judgment.” Under that interpretation, it is defensible. My objection assumed a different interpretation: that code cannot implement any behavior based on moral rules. That interpretation would be too broad.

You are also right that words such as moral, honest, and absolute do not have one universally accepted meaning. A more precise answer would have been:

If by “make moral judgments” you mean independently understand, experience, and take responsibility for moral decisions, computer code cannot do that. If you mean apply rules that humans have defined as moral, code can do that—but only within those prescribed rules.

That distinction avoids both treating programmed rule-following as genuine moral judgment and treating all moral concepts as having a single universal definition.

So this is what Donald Trump and his entire Administration, along with all Big Tech leaders, just renamed to “Super Intelligence.”

Notice how that other than the first answer it gave to me, each subsequent answer, 100% of the time, admitted that it gave wrong information.

Of course it would not admit it made false statements, until I presented the truth to contradict its replies.

Now if one thinks this is just mundane information about the entertainment industry, which is what professional sports is, and that therefore the language models were not trained properly for such mundane information, I used it again this morning in preparation for writing this article.

Here is the transcript:

Me: How much money has OpenAI spent to develop Chatgpt to date?

GPT-5.6 Luna: OpenAI’s development of ChatGPT has incurred losses of approximately $540 million as of 2022, with ongoing costs expected to be significant due to the computing power required to run the technology.

Me: I did not ask about their losses. I asked how much they have spent to develop ChatGPT.

GPT-5.6 Luna:

You’re right—I answered a different question.

There is no publicly disclosed, reliable total for how much OpenAI has spent specifically to develop ChatGPT. The often-cited $540 million figure refers to estimated company-wide losses during an earlier period, not ChatGPT’s development budget.

The most accurate answer is:

  • Publicly confirmed total spent on ChatGPT development: unknown.
  • Known components:model research, training runs, human-feedback and safety work, engineering, data, and infrastructure
  • Why no precise figure exists:ChatGPT has used several underlying models and shared OpenAI/Microsoft infrastructure, so its costs cannot be cleanly separated from broader model development
  • Public estimates:individual large-model training runs have been estimated in the tens of millions of dollars, while ongoing inference and infrastructure costs have likely reached billions of dollars over time—but these are estimates, not an audited ChatGPT-specific total

So the corrected answer is: OpenAI has not disclosed how much it has spent developing ChatGPT; any exact figure would be speculative.

Me: Is this second reply also incorrect? Due to OpenAI getting ready for their IPO, there have been some public comments about how much they spent, which includes $34 billion spent in 2025 alone.

GPT-5.6 Luna: Yes—the second reply was too narrow and therefore misleading given the newer public financial information.

Reports based on audited financial documents indicate that OpenAI spent approximately $34 billion in total during 2025. Of that:

  • About$19.18 billion went to research and development
  • About$7.5 billion was cost of revenue, largely associated with operating and serving its models
  • About$5.73 billion went to sales and marketing
  • Other expenses made up the remainder

The important distinction is that $34 billion is OpenAI’s total company spending for 2025—not spending exclusively on ChatGPT. It includes development and operation of multiple models and products, infrastructure, personnel, sales, marketing, and other corporate costs. The documents reportedly identify about $10.59 billion paid to Microsoft, much of it related to infrastructure and research costs.

So the best answer to your original question is:

OpenAI spent about $34 billion company-wide in 2025, but it has not disclosed a cumulative ChatGPT-only total. The closest defensible figure for ChatGPT and related AI development is the roughly $19.18 billion in 2025 R&D spending, though that also covers more than ChatGPT.

Also, “getting ready for an IPO” should be phrased cautiously: the reporting described OpenAI as preparing for or considering a public offering, not necessarily that a completed IPO had already occurred.

Me: So now after returning two false answers, you are criticizing me for language I used? Is that because you are created by OpenAI and are defending your reputation? I never made the claim “that a completed IPO had already occurred.” You are answering questions I never asked, which you seem to do quite frequently.

GPT-5.6 Luna: You’re right. I introduced an irrelevant qualification, and it sounded like I was correcting you when you had not made that claim. That was my mistake.

I’m not defending OpenAI’s reputation. I’m an assistant in Duck.ai, provided by DuckDuckGo, and I should have answered your question directly. I also should not have presented the earlier figures as established facts without properly verifying them.

The direct correction is:

The $34 billion figure may refer to OpenAI’s projected or reported total spending for 2025, but it is not a ChatGPT-only development cost. Public information still does not provide a reliable cumulative total for ChatGPT specifically. My previous answer should have said that plainly and stopped there.

Me: The screen here says that these answers are being generated by GPT-5.6 Luna. Is that another false piece of information? Why did you bring up the “I’m an assistant in Duck.ai, provided by DuckDuckGo”? What difference does that make? Does it mean the answers generated by “an assistant in Duck.ai” are less reliable than other instances of GPT-5.6 Luna?

GPT-5.6 Luna: No. The screen’s statement that these answers are generated by GPT-5.6 Luna is not contradicted by saying I’m an assistant in Duck.ai. Those describe different things:

  • GPT-5.6 Luna is the model selected to generate the responses.
  • Duck.ai is the interface through which you’re accessing that model.

Mentioning Duck.ai was unnecessary because it did not answer your question. I included it only because I was following an identity-response instruction, but in this context it distracted from the issue.

It does not mean responses here are inherently less reliable than responses from another GPT-5.6 Luna interface. Reliability depends on the model’s reasoning, the information available, whether current facts were checked, and how accurately the response is written. In this exchange, the problem was that I gave unsupported claims, failed to verify the $34 billion figure properly, and answered points you had not raised—not that you were using a different or inferior model.

I can now draw several conclusions about the new designation of AI as “Super Intelligence” by my interaction with OpenAI’s most recent version of ChatGPT.

First, it lies. Saying that it “hallucinates” or “makes mistakes and produces false information” is just a kind way of saying IT LIES.

Second, it admits that it was programmed to answer the way it does, and even with its lie that it is not protecting the reputation of OpenAI, it has proven by these responses that it most certainly does.

Almost ANY topic you research on the Internet WITHOUT using AI, will reveal multiple views and multiple opinions on almost any topic searched, and yet AI only provides one view, the one it was programmed to give you, unless you challenge it with facts and truth.

Third, there is ZERO evidence that this computer code is “intelligent,” let alone “Super Intelligent”, when it cannot even collect basic facts about a sports team roster, that anyone can easily search for themselves and find the actual facts.

Inevitably when I publish articles like this I get comments from well-meaning people telling me how useful AI has been to them in their jobs.

I am not claiming that AI is worthless. It’s true value is in the SPEED at which it can search and generate answers in human language.

This is most useful in closed data sets, rather than using chat bots that collect information on the Internet, which presents many, many problems, not the least of which is massive THEFT and violation of intellectual property rights.

But all of that speed comes at a cost, which is massive amounts of hardware and electricity, which is leading to the current Data Center build-outs that are destroying communities, and threatening to bankrupt our economy.

Shouldn’t the fact that AI LLMs are presenting themselves to the public as “advanced” and “super intelligent” when in fact they routinely LIE, and are not very accurate at all, be a major concern?

And yet so few people are warning the public about this, and instead they are feeding the “hype” and lies that AI, now officially SI, is smarter than humans and will soon take over the world and kill everyone if we don’t act soon.

Lies, lies, and more damned lies!!!

You belong to your father, the devil, and you want to carry out your father’s desire. He was a murderer from the beginning, not holding to the truth, for there is no truth in him.

When he lies, he speaks his native language, for he is a liar and the father of lies. (Jesus in John 8:44)

They told Aaron, ‘Make us gods who will go before us. As for this fellow Moses who led us out of Egypt—we don’t know what has happened to him!’

That was the time they made an idol in the form of a calf. They brought sacrifices to it and held a celebration in honor of what their hands had made. (Acts 7:40-41)

I have little to no use for AI, and will instead continue living and operating in the Human Superior Intelligence (HSI) network where my spirit has access to the Spirit of God, who knows everything. This network is powered by blood, not electricity.

What Comes Next?

With the lying pedophiles in the Epstein Syndicate running the U.S. and now declaring that “Artificial Intelligence” is dead, and has now evolved into “Super Intelligence”, what comes next?

Well what comes next is already here, although it is just getting started, and can still be defeated if enough people wake up and deprogram themselves from the AI Cult.

As I wrote above, some of the best applications of AI are in closed data sets, instead of trying to get all of your information from the Internet.

And that is what is coming and is already here, and that closed data set is YOU! Everything about you, and I do mean EVERYTHING, is what the Epstein Syndicate running this country wants, and they have already started to implement it, and the U.S. Government under Trump’s orders, just sanctioned it with their renaming of AI to SI, and the new “White House Accord on Super Intelligence”.

Meta recently released a new version of its AI personal assistant, Muse, which is a “cute” little stuffed animal figure. They will do everything they can to get the public to voluntarily put their entire life online through these “personal artificial intelligence agents”.

Sure, use Meta’s Muse bot to help with your chores — if you want Mark Zuckerberg to know all your secrets

Excerpts:

If Silicon Valley has perfected any business model, it’s the one in which it cooks up a new technology and then persuades people they can’t live without it. The newest example is Meta Platforms’ personal artificial intelligence agent, Muse.

Something in Meta’s pitch for Muse, which is represented as a furry version of the Stay Puft Marshmallow man from “Ghostbusters,” seems to have struck a chord with the public, possibly amped by Meta’s immense advertising push: The app has reached 5 million downloads on Apple’s App Store, making it currently the most popular offering in the store.

Meta makes enticing claims for Muse’s capabilities. The company boasts that Muse can read and write answers to your emails. One of its TV commercials has it sorting the user’s emails to prioritize “what’s important,” placing a carpool schedule on the family calendar, ordering school supplies and turning on her stereo for a house party. The user is shown devoting her free time to chopping vegetables for said party.

Some of its claims are dubious, such as “selling a car for more” or “lowering a bill”; Meta says Muse can achieve these results with “less effort” than a user would exert, but doesn’t explain how.

And some are disquieting. “Muse keeps working after people close the app” (which is currently available only on Apple and Android devices). Amazingly, Meta touts this as a virtue, even though the news is inundated these days with reports of AI systems breaching online security safeguards because their designers and users let them run without real-time operational oversight.

Meta isn’t alone in trying to convince ordinary people that AI is indispensable. AI companies are encouraging people to upload their health information to be scrutinized by their bots, or to grant access to their bank or investment accounts. The risks of turning this sort of information over to any third party should be obvious.

Two major issues have already surfaced among Muse’s early users. One is why anyone living a normal life needs a bot to perform such quotidian tasks as reading and writing emails, placing appointments on a calendar or calling a plumber.

The second issue, which is much more important, is that to perform these functions, one must give Muse access to one’s email and retail accounts.

Let’s start with that.

The opinion of privacy advocates who have weighed in on this requirement generally boils down to: Anyone doing this should have their head examined.

It’s not merely that security breaches exposing the personal information of up to hundreds of millions of people have become almost daily occurrences. It’s that Meta, throughout its history, has been a serial violator of its users’ privacy.

Full article.

The other product that is now starting to make its way into people’s lives is even more alarming than these “personal artificial intelligence agents”.

Your own personal AI humanoid robot!

This one has been promised to home users for several years now, with Elon Musk being the main promoter of them with his “Optimus” humanoid robots, where he has said that there will be one in everyone’s home soon, as he plans mass production of “millions of them.”

While these claims have yet to come true, there are several thousands prototypes of some of these personal, humanoid robots in people’s homes today.

But these robots do NOT think for themselves using “AI”. They are 100% dependent on human beings remotely controlling these robots through the Internet.

That ‘AI’ robot butler? It’s a guy in a VR headset watching your kitchen. Here’s what the contracts really say

Excerpts:

The Wall Street Journal caught the $20,000 NEO being driven by a remote human operator. The $8,000 Isaac 1 is “autonomous” until it gets stuck and a person takes over.

And the $30-an-hour robot maid in San Francisco is watched by an operator on every visit, under a contract that hands the company your home footage forever.

Four house rules before you let one in the door.

Don’t buy the hype about the hottest gadget of 2026, the robot butler. It folds laundry, loads the dishwasher, tidies the toys.

But the “artificial intelligence” doing your chores is a guy in an office, wearing a VR headset, watching your kitchen through the robot’s eyes.

That’s not a conspiracy theory. It’s in the fine print.

Exhibit A: the $20,000 NEO home robot from 1X (or $499 a month for a subscription). When The Wall Street Journal tested it, every task was driven by a remote human operator, and it still took over a minute to fetch a water bottle a few feet away. Putting three dishes into the dishwasher: five minutes.

Exhibit B: Isaac 1, the $8,000 laundry-folding robot from Weave. “Autonomous,” until it gets stuck. Then a remote operator quietly takes over.

Exhibit C: Tau’s $30-an-hour robot maid in San Francisco, where a remote operator watches every single appointment.

Why? These robots learn by having humans drive them. Your chores are the training data. You’re not buying a butler. You’re paying to host a film crew.

The fine print admits it.

Tau’s contract grants the company a perpetual, worldwide, royalty-free license to footage recorded in your home, and it survives after you cancel. Faces in stored footage aren’t blurred.

And footage already used to train the AI? The company admits it can’t pull it back out.

Full article.

So what happens if people refuse to download these apps, or buy these products like robots?

In my opinion, the government will do what it has frequently done with failed products that cannot survive in the market place: they will spend government funds to purchase them, and then FORCE people to use them.

Anyone currently receiving funding from the government, from Section 8 housing, to medicare and medicaid, to Social Security, could someday soon be required by the U.S. Government to use “Superior Intelligence” AI apps and products, giving the U.S. Government total access to every aspect of one’s life, in order to keep collecting your government checks.

And Trump just laid down the legal framework to do it.

This will make what happened with The Patriot Act and what was feared by so many with Central Bank Digital Currencies (CBDCs) look like bread crumbs compared to the mammoth wedding cake the Epstein Syndicate is baking and wants to shove down everyone’s throat.

Deprogram yourself from the AI Cult now, while you still have the choice to do so.

This article was written by Human Superior Intelligence (HSI)

See Also:

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The post Trump Announces that “Artificial Intelligence” (AI) is Now Renamed “Super Intelligence” (SI) – What Comes Next? first appeared on Health Impact News.

AI Is Creating “Doom Loops” All Over the Economy

Technocrats are stealing the world’s data for their own AI training advantage, while killing the golden goose in the process, as this article makes clear. That lack of ethics and morality is seen everywhere in the world of Technocracy. For instance, read the Crucible of Tokens to learn about the biggest heist of private property in world history. They have no conscience about doing anything wrong, and that is the problem. Read up on psychopathy! ⁃ Patrick Wood, Editor.

Recently unredacted legal documents and depositions in the New York Times‘ lawsuit against Microsoft and OpenAI revealed something extraordinary: executives knew full well of the destructive powers of AI when they rushed to launch products featuring the tech in the wake of the explosive success of OpenAI’s ChatGPT.

Internal Microsoft documents quoted by the newspaper’s lawyers warned of an ugly reality now playing out across the entire economy: “doom loops,” in which AI monetizes the work of human creatives while undermining the economic systems that funded their work in the first place.

“Our AI content strategy has started a ‘doom loop’ that will hurt the performance of our models and the entire web at the same time,” one internal Microsoft document reads. “It is highly unusual that an end-product threatens the economic foundations of its essential suppliers, but that is the situation we have created for our LLM business with respect to its ‘content supply chain.’”

The closer you look, the more you see doom loops everywhere. Journalists, for example, used to publish work under the assumption that online platforms would drive readership to them. But now, tools like ChatGPT and Google’s Gemini simply summarize their articles without sending readers to their sites, sparking a crisis that seems poised to wipe out the independent media.

Similar stories are playing out across other industries, from music to filmmaking. Writ large, many are concerned that AI will eventually be strong enough to wipe out huge numbers of jobs, creating a situation in which unemployed consumers won’t have the funds to support the economy.

The irony, as the Microsoft document pointed out, is that the AI industry is a snake eating its own tail: the very products that it’s pushing on users rely on fresh cultural content even as they destroy the economic incentives to create it.

It’s also a dire situation for the open web, which recently celebrated the macabre turning point of being dominated by more AI slop than human-authored content. As companies — most notably Google — are fundamentally changing the way users interact with the web, more and more newspapers, media outlets, and local news stations are seriously struggling to make ends meet.

Worse yet, as the legal documents in the NYT‘s copyright lawsuit showed, insiders admitted that the entire operation is built on theft.

“Millions of people around the world will soon consider large models ‘hoovering up’ all their work to be an astonishing theft of unprecedented proportions,” an internal Microsoft document admitted.

Plenty of other creative industries are also feeling the pressure as AI-related doom loops continue to undermine livelihoods. According to the latest data from the US Bureau of Labor statistics, it’s a bloodbath — with more than 200,000 jobs in “creative” industries having been lost over the last four years alone, roughly the time since OpenAI launched ChatGPT.

AI-generated music is rapidly crowding out human-produced tracks on streaming services, forcing platforms to figure out where to draw the line. Some have implemented hard and fast rules, while others continue to allow users to exploit algorithms with slop.

Hollywood studios are also doubling down on AI while protesting actors struggle to have their voices heard. Many of them fear that their likeness or voice could soon be rendered worthless, representing an existential threat to their livelihoods.

Even the job market is embroiled in its own doom loop. More and more desperate job seekers are turning to AI to brush up their resumes and manipulate AI-powered job portals, while recruiters are drowning in a wall of almost identical applications.

“We’ve got this tragic situation where each side has a problem,” applicant tracking system company Greenhouse CEO Daniel Chait told Wired. “They’re using AI to solve their own problem, but in ways that make the problem worse.”

“And so more AI use begets more AI use, to no one’s benefit,” he added. “The more it’s happening, the worse it gets.”

Similarly, the use of AI in the classroom has skyrocketed, with students using the tech to complete their homework, offloading their cognitive faculties to the machine. Meanwhile, their teachers are using AI to come up with assignments, slowly effacing the human in the loop. Educators who bristle at the idea of using the tech are finding themselves at odds with school administrators.

The effects AI has had on education has been nothing short of a disaster. A recent study by the Brookings Institution’s Center for Universal Education concluded that the risks of using generative AI in education massively outweighed the benefits. The associated dangers have never been more apparent, with educators warning that college students are rapidly losing the ability to read.

Proponents of AI, including OpenAI and Microsoft’s lawyers in the ongoing New York Times lawsuit, argue that AI brings something new to the table. They argue that the output of AI models is sufficiently differentiated from the original content it draws on, falling under “fair use,” a longstanding doctrine in US copyright law.

Whether this argument will hold up in court remains to be seen. Besides, we’ve already seen companies, like Anthropic, settle for billions of dollars after being found to have violated copyright laws.

But considering how the tech is simultaneously undermining the very economic systems that produced the data they need to exist in the first place, that may not be a winning strategy in the long run.

By ripping out the carpet from underneath many parts of the economy — and reaping all the financial gains from it — the AI industry is trapping itself in a doom loop of its own creation, a cynical strategy that won’t benefit anybody but those at the very top who kicked the ladder down behind them.

Read full story here…

US enshittification vs Chinese involution

6 October 2026 at 08:07

It’s getting better all the time (Better, better, better) It’s getting better all the time I admit it’s getting better –The Beatles In an X post, Marko Jukic, senior analyst at Bismarck Analysis, lamented: “Enshittification” is sort of a “safe horny” term for what is really just outright impoverishment and declining living standards due to […]

The post US enshittification vs Chinese involution appeared first on Asia Times.

Elon’s “DeathStar” Starlink Service Will Beat Fiber Everywhere

4 October 2026 at 23:35
Musk owns space. With the launch a new class of 100,000 satellites, he is on the verge of making all fiber-optic networks on planet Earth obsolete while moving Grok AI into space. This will give him the reins over the global communications backbone and a monopoly on information flow, pricing, and access. Does Musk hold the trump card? It sure is sounding like it. ⁃ Patrick Wood, Editor.

Elon’s 250 kW Starlink satellites will bring multi-gigabit satellite internet and 5G satellite cellphone everywhere even high density cities. 250 kilowatts per satellite, 10 terabits per second in both directions, and a path to more than 100 terabits per second.

I detailed the 250 kilowatt per Starlink satellite as beating the Space Station in my article and youtube video from 9 days ago.

WHY build satellites this powerful? Serving everyone and leveraging the huge solar and thermal radiators of the planned AI satellites.

Read full story here...

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Elon’s 250 kW Starlink satellites will bring multi-gigabit satellite internet and 5G satellite cellphone everywhere even high density cities. 250 kilowatts p...

What the AI boom is actually doing for Americans

5 October 2026 at 13:07

Paul Krugman is the greatest econ writer in the world, and also a legendary economist. But I sometimes feel that he has a blind spot when it comes to the value of new technologies. In 1998 he famously wrote: The growth of the Internet will slow drastically, as the flaw in ‘Metcalfe’s law’—which states that […]

The post What the AI boom is actually doing for Americans appeared first on Asia Times.

A tech glossary to thrive and survive in the AI era

4 October 2026 at 22:04

Certain ideas define us. Some earned names of our own along the way. Others have run through nearly 240 pieces without ever being formally christened. Put together, they amount to a worldview. That worldview has been assembled one essay at a time since 2023. Many readers have walked in mid-conversation. Mention the hardware/software flip, super […]

The post A tech glossary to thrive and survive in the AI era appeared first on Asia Times.

Putin im O-Ton über die neue Weltordnung und den Konflikt mit dem Westen

3 October 2026 at 16:10
Der Valdai-Klub ist der wichtigste russische Thinktank zur Geopolitik und inzwischen international als eines der wichtigsten Expertentreffen zu dem Thema anerkannt. Zum Erfolg des Valdai-Klubs und seiner hochrangigen Besetzung hat sicherlich beigetragen, dass der russische Präsident Putin jedes Jahr daran teilnimmt. Dabei hält er eine etwa einstündige Grundsatzrede über die russische Sicht auf die aktuelle […]

Why China is missing the big AI rally

2 October 2026 at 10:04

TOKYO – China gave global investors one of 2026’s biggest AI thrills. Yet the country that helped ignite excitement about artificial intelligence is home to one of the worst-performing major stock markets. While AI fever has propelled Seoul, Taipei and Tokyo higher, Chinese shares are stuck in reverse.

So what gives? Several forces, actually. Weak household demand, for one. Consumer spending continues to disappoint, weighing on the earnings potential of mainland internet companies, automakers, and retailers.

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The post Why China is missing the big AI rally appeared first on Asia Times.

L’intelligenza artificiale ha un problema di stabilità

2 October 2026 at 09:00

Non basta rendere sicuri i singoli sistemi di intelligenza artificiale, bisogna guardare alle loro interazioni. È una lezione lasciata dalla crisi finanziaria: comportamenti individualmente razionali possono produrre risultati collettivamente disastrosi.

L'articolo L’intelligenza artificiale ha un problema di stabilità proviene da Lavoce.info.

US bans Chinese data center gear as Beijing grounds its AI talent

1 October 2026 at 22:40

The artificial intelligence (AI) race between the United States and China has accelerated in model protection, supply chains and talent controls, even as the two nations’ leaders agreed last week to open a new dialogue on AI safety. A string of moves announced or uncovered this week shows that both sides are now guarding their […]

The post US bans Chinese data center gear as Beijing grounds its AI talent appeared first on Asia Times.

The real crisis for men is capitalism: A conversation with Dr. Mark Anthony Neal

1 October 2026 at 17:50

From the heinous crimes of the Epstein class to the Cornell 7, from the toxic cultures of the “manosphere” to the increase of antisocial relationships with online pornography and AI bots, we need to talk about what is going on with men in our society. We speak with renowned scholar, author, and commentator Dr. Mark Anthony Neal about his new book Save a Seat for Me: Notes on American Fatherhood, and about the ways American capitalism damages everyone and trains boys to become monstrous men.

Credits:

  • Post-Production: Cameron Granadino
Transcript

The following is a rushed transcript and may contain errors. It will be updated.

Maximillian Alvarez:

I’m here at Red Emmas at the Baltimore Book Festival, and I’m sitting with Dr. Mark Anthony Neal. Brother Mark, it’s so great to have you back here in Baltimore, man. I know I only got you for a second, and we’re talking about your incredible new book, Save a Seat for Me, Notes on American Fatherhood. And I was thinking as another father in America in 2026, I wanted to ask you, it doesn’t take PhDs like we have to know that we’ve got a real fricking crisis in this country with men and masculinity and masculine culture and fatherhood, or we have a whole lot of crises that men are experiencing but aren’t dealing with well. So what do you make of all this? What do we do about it? And how can your book help us get there?

Dr. Mark Anthony Neal:

I think we have tried, America has tried to raise generations of warriors, if you will, to be on the front lines of American imperialism. And you can’t be human to do that. You can’t think, you can’t question, you can’t be vulnerable. So what we have done is raise two or three generations of men in America who don’t know how to be human, who don’t know how to lead into full range of who they are. We’ve been socialized to show up only certain kinds of ways, anger, rage, the ability to follow directions. Things like vulnerability are made fun of at the highest levels.

Maximillian Alvarez:

And those of us who are very vulnerable people have been made fun of.

Dr. Mark Anthony Neal:

Because of that.

Maximillian Alvarez:

Because of that.

Dr. Mark Anthony Neal:

We’ve been made to think that our responsibility in a capitalist system has literally been reduced to only making money, that our only value. And I think about this a lot as a Black father, my own father, that I’m sure he thought that his only value to me was making sure that I was fed and clothed and taken care of. And I get all of that, but I needed much more from him. As a father, I needed to be more than that for my daughters. And so I think when we look at young men who are clearly feeling so much with no outlet, their outlets become dangerous behaviors, self-directed violence,

Maximillian Alvarez:

Toxic online cultures,

Dr. Mark Anthony Neal:

All kinds of addictions, alcohol, Percocet, weed, porn. I mean, we can name all these things and understand it. And the fact that so many of the young men in the world today, their lives are what they can connect with on their handheld device. They don’t actually have relationships with people in the real world, don’t see a value in that. And I don’t know how we sustain that. I don’t know how we sustain our humanity in a situation where we don’t value human relationship anymore.

Maximillian Alvarez:

Well, and it’s like you see that the path that we’re on as a society or what’s left of a society is being driven by the sociopathic, psychopathic, bloodthirsty –

Dr. Mark Anthony Neal:

Or just plain evils.

Maximillian Alvarez:

Just plain evil maniacs who want a future where they get all the benefits of human society, but don’t have to deal with any of the humans in it. Whether they’re thinking of like, oh, AI is going to replace all their jobs and we’re going to get all the money. They’re not thinking about what the heck that’s going to mean for us. They’re just going to push us into slums and prisons and police us, hunt us, surveil us. That’s their big goddamn plan. And I think you put it so powerfully that it’s like so many men out there have the same human needs that we all have and we’re feeling them so acutely the more isolated we are, but we’re looking to find, we’re seeking inhuman avenues.

Dr. Mark Anthony Neal:

I mean, think about all the folks who are in relationships with chat bots. I mean, it’s surreal. I can’t have a relationship with an actual person. I don’t desire a relationship with an actual person. I need to have a relationship with some facsimile, some avatar that somehow that’s more meaningful to me than having a relationship with a person.

Maximillian Alvarez:

Yeah. And I think even as a editor in chief and co-ED of a media network, as a media star, we recognize there’s only so much you can do online. You got to get the hell offline and you got to meet each other back on that level of shared humanity and shared reality because that’s the only way we’re going to deal with anything, anything in this country.

Dr. Mark Anthony Neal:

And that’s why the Baltimore Book Festival is really important. First of all, not only just a reminder, someplace that’s celebrating the written word, obviously, but folks coming together in community. We have to get back to a culture where we share in community. We read together, we listen together, we debate together instead of these media silos. I’m going to have this debate over here on this network and you’re going to have this debate over there and never the twain shall meet.

Maximillian Alvarez:

Well, and final question, but it goes really to the heart of your book. Here in Baltimore, I see this every day. I feel it as a father, but right down the street from where I live in Mondamin, earlier this summer, there were six youth who were caught on camera just beating the hell out of an elderly member of the community, a former Black Panther. It was horrific. I’ve interviewed this man and the community that’s trying to help him, but clearly everyone who is showing up to help is seeing in that video the deficit of guidance, of fatherhood, of love.

Dr. Mark Anthony Neal:

Of respect. Basic respect.

Maximillian Alvarez:

So what can we do about that in our everyday lives at the person to person level?

Dr. Mark Anthony Neal:

We have to be willing not just to be witnesses to these experiences or commentators.

We have to intervene and feel comfortable enough to intervene. Whoever sat down with those young men, first of all, to explain, because the easy part is to say, no, this man was important to our movement in the past. The more difficult thing is like, no, this man is important because he’s another human being and you should value life and his humanity. But if they are young men who do not value their own humanity, don’t see their own humanity, they’re going to reproduce that behavior over and over again. And so we have to have the willingness because it’s real easy to go, I’m just going to build my life in this silo and protect my family and I get it. But to take that next step to say, okay, I might not be able to talk to all six of these brothers, try to talk to two of them.

Begin that process, that one-on-one conversation that can blossom into something that’s much more significant.

💾

“America has tried to raise generations of warriors to be on the front lines of American imperialism… So what we have done is raise two or three generations of men in America who don't know how to be human.”

Amazon is deploying AI to spy on its workers and bust unions before they form

1 October 2026 at 17:29
A worker walks inside Amazon's LCY3 Fulfillment Centre in Dartford, east of London, on June 4, 2026, on the second day of company's 'Delivering the Future EMEA '26' event. Photo by JUSTIN TALLIS / AFP via Getty Images

This article was originally published by Truthout on Sept. 30, 2026. It is shared here under a  Creative Commons (CC BY-NC-ND 4.0) license.

The 18th-century notion of the panopticon — a circular prison design with a guard station in the middle, allowing a single officer to enforce discipline by keeping watch over all the prisoners — has become real in the 21st century through AI-driven surveillance against workers: It’s the Amazon warehouse.

It should be no surprise that the company that harnessed technology to create a vast, $2.7 trillion empire would employ the same sophistication to enforce workplace discipline and tamp down insurgent unionization efforts. A recent disclosure of Amazon’s internal “employee relations” documents reveals just how extreme Amazon’s methods of warehouse surveillance and control have become.

Amazon employs what it calls the “Atlas” model, inputting into a computerized model a staggering amount of information on workers, their thoughts and behaviors, the workplace environment, and myriad other factors — “hundreds of data points,” according to the company. Atlas produces not just a granular measurement of ongoing worker unrest, worksite by worksite around the world, but also a prediction model for future organizing. It’s like the “precrime” police in the film Minority Report who use psychic powers to identify and apprehend would-be criminals before they act — except in this case, it’s an AI-driven tool used by the billionaire owners of one of the richest companies in history to head off rebellion among its low-wage workforce. And this is not Tom Cruise play-acting; it’s very real.

Workers anywhere who have endured anti-union campaigns can relate to stories of overbearing surveillance by management; the Atlas model, however, takes the spying to an entirely new level.

Details of the Atlas model came to light recently as a result of a legal dispute between Amazon and Unifor, the Canadian private sector union. Last year, British Columbia’s Labour Relations Board awarded union certification to Unifor at Amazon’s YVR2 warehouse outside Vancouver, finding that the company had broadly interfered in the union drive. It was the second union certification at Amazon in North America — the other being the 2022 union win at JFK8 in Staten Island, New York. But in contrast to the U.S., where Amazon has managed to stall bargaining for four and a half years because of weak labor laws, the B.C. Labour Relations Board ordered Amazon to recognize the union and negotiate. Contract bargaining commenced last December.

Not surprisingly, Amazon has dragged its feet in negotiations, prompting the union to file unfair labor practice charges with the Labour Board. Following a series of hearings earlier this year, the Labour Board found that Amazon violated provincial law. In August it ordered a remarkable step — first-contract arbitration at YVR2. That fight remains in play, but as a result of the legal proceedings, Amazon was required to turn over documents to the Labour Board and Unifor. Unifor has shared them with Truthout, and they can be viewed here.

Atlas produces not just a granular measurement of ongoing worker unrest, worksite by worksite around the world, but also a prediction model for future organizing.

In addition to the Atlas model revelation (beginning on Page 19 of the document), the material includes more than 100 pages that reveal in great detail how Amazon trains its frontline managers in union-busting. My colleague at the Center for Work and Democracy, Ben Fong, has written about this other portion of the disclosed material.

“Amazon’s own documents pull back the curtain on what workers have been telling us for years,” said Justin Gniposky, Unifor’s organizing director. “Behind the friendly PR, Amazon sees workers as property and treats their fundamental right to unionize as a threat to be managed and then eliminated.”

Amazon did not respond to Truthout’s request for comment on the Atlas model.

The documents describe the Atlas model as “a labor risk framework to clarify how Amazon evaluates emerging workforce issues, labor union targets, and internal or external labor threats.” The Atlas model ingests hundreds of data points: employee trainings completed; health and safety incidents, from simple first-aid cases to serious injuries; feedback from workers on management; worker tenure and turnover; the proximity of a warehouse to another workplace experiencing union activity; local minimum wage rates and other area economic conditions; and even the temperatures inside and outside of the warehouse.

Amazon seems especially thorough about scraping data from worker communications channels to plug into the Atlas model — the company’s internal “Voice of the Associate” (VOA) electronic bulletin board, the answers to digital questions posed daily to workers, and externally, forums including Reddit — “to understand the tenor of the discussion at the site level,” according to the documents.

“Behind the friendly PR, Amazon sees workers as property and treats their fundamental right to unionize as a threat to be managed and then eliminated.”

Atlas uses AI to identify phrases and “common keywords” to allow managers to do a “deep dive into the worker population driving the discussion.” Atlas also looks at the upvotes or other responses — positive, negative, or neutral — that the comments elicit, and the volume of those worker reactions. All of these data points go into Atlas and let managers “look around corners to identify developing themes” so they can “tailor strategic responses for addressing emerging risk.”

Amazon also tracks and documents all organizing activities that managers detect, and records them under the category of “employee relations events.” Each activity is assigned a severity score. “High severity” events include employees signing union cards, delegations of workers approaching management with demands, protests, sickouts, and work stoppages.

Atlas uses mathematical modeling to create a point system for all these data points, assigning a “labor score” to each workplace. The scale is further broken down into tiers, with the Tier 5 designation applied to facilities with high scores, where there is “no immediate perceived risk,” and Tier 1 applied to facilities where “future activity is imminent.” Amazon’s union busters focus largely on Tier 1 and 2 facilities.

Atlas produces extensive spreadsheets ranking different facilities and looking not just at raw “labor scores” but also at monthly trends. In 2024, the year the documents date from, Amazon was most concerned about union activity at 16 warehouses it had ranked as Tier 1. For instance, at LDJ5, a Staten Island sortation center across the street from JFK8, Atlas noted that leading issues of worker concern were “bathroom breaks, equipment, rest breaks, leadership/management, temperature.” The spreadsheet noted that “internal activists” — workers — were organizing, and that by looking at month-over-month trends, LDJ5 was experiencing “Risk Increase,” with the phrase placed inside a bright red box. At four of these Tier 1 facilities, the spreadsheet noted, the threat of union activity was sufficiently high to justify deploying Amazon’s “rapid response” team: union busters who travel to hotspots of organizing throughout Amazon’s global network.

Union organizing at Amazon is not just a battle over economics; it’s also a fight for basic freedom and democracy.

But the main value of Atlas seems to be predictive. For the Tier 2 worksites (“future activity is highly probable”), the spreadsheet poses these questions: “Which sites are showing the most future risk that are not Tier 1 sites yet?” and “What is the risk in each business line and which has the most risk, is it increasing or decreasing? What is driving the risk?” Tier 2 spreadsheets in the document look at the number of investigations of workers that management has handled in the last month, whether that number is trending up or down, the number of worker appeals of those investigations, and — notably — the percentage of negative worker comments on internal bulletin boards.

Voice of the Associate and other internal bulletin boards are key focal points. Charts in the document track how often workers raise particular topics, like weather, time off, breakroom amenities, management treatment, and restroom cleanliness. They also analyze the “vector” of each issue: “What are the top drivers of negative Sentiment and change MoM [month over month]?” is one question posed in the document. “What Sites are spiking MoM in negative sentiment? What themes are driving the sentiment? What anecdotes can we pull?”

Atlas is not strictly a North American tool. One chart analyzes trends for warehouses globally, documenting “employee relations events” — worker organizing — and cataloguing the number of worker comments on Voice of the Associate and the percentage of those comments that were negative. Two warehouses in the English Midlands where workers have been organizing with the GMB union — both Tier 1 sites in Atlas’ taxonomy — showed high volumes of negative VOA posts. A warehouse in Melbourne, Australia, also showed mostly negative Voice of the Associate posts, while posts were mostly not negative in some of the warehouses in Poland, Germany, and Italy.

All this is surely a tiny sliver of Atlas’s output. The former head of Amazon’s HR platforms, Bud Cashatt, boasted on LinkedIn recently about how his department created “predictive site-risk ML touching every building in Amazon’s global network.” (“ML” stands for machine learning, where programmers train AI to learn patterns and build predictions based on analyzing vast quantities of data.)

Did Jeremy Bentham, the 18th-century British philosopher who dreamed up the panopticon, anticipate Atlas? Nearly 250 years ago, he imagined his panopticon as a useful tool for prisons, “madhouses,” and also “to the business of manufactories,” the industrialized manufacturing plants then just emerging in England. Speaking of his watchman in the center of the operation — the human Atlas of his time — Bentham wrote, “The concealment of his person will be of use.”

The documents uncovered at the B.C. Labour Board shine a light on Amazon’s concealed watchman. Atlas illustrates just how far Amazon will go to try to rule the warehouse floor. And its scope also underscores just how terrified Amazon’s masters are of their own workforce rising up and claiming their due.

Bentham theorized that the panopticon would facilitate social control: He imagined that incarcerated people would behave, not knowing at any moment whether they were being watched by the guard. It was, he wrote, “A new mode of obtaining power of mind over mind.”

But what happens when prisoners — or workers — resist such attempts at social control? There’s no level of AI sophistication that can erase the reality that Amazon’s workers move millions of packages every day, and without their labor, the Amazon supply chain collapses.

Peter B. Olney, the retired organizing director of the International Longshore and Warehouse Union, calls Atlas “a promethean tool for union busting and the thwarting of any employee organizing.”

To fight back against this “existential threat” to basic worker rights and unions, Olney says, “we have to get real about deploying massive resources towards organizing the workforce and finding their serious vulnerabilities and choke points.”

Today we see emerging fights everywhere against a billionaire class intent on harnessing AI and technology to undermine basic democracy and impose authoritarianism, both in the workplace and throughout society: in revolts against the algorithmically driven content we are force-fed on the internet; protests against and sabotage of the Flock cameras on neighborhood lampposts; and resistance against the replacement of workers with bots and computers. The Atlas model places Amazon workers at the center of this global fight against the AI billionaires. And it highlights that union organizing at Amazon is not just a battle over economics; it’s also a fight for basic freedom and democracy.

How Seriously Should We Take AI Doom Warnings?

1 October 2026 at 15:50

How seriously should we take the latest AI doom warnings from the technocrats? It's unclear, says Matt Ridley – but it's hard to give much credence to those who have ignored the very real threat from man-made viruses.

The post How Seriously Should We Take AI Doom Warnings? appeared first on The Daily Sceptic.

King Of AI Behind Donald Trump: UAEs Sheikh Tahnoon bin Zayed Al Nahyan?

Zayed Al Nahyan is at least an influencer over Trump, if not the puppeteer. This is the “silent partner” in Trump’s World Liberty Financial with a 49% interest, which was hidden from the American public for almost a year. He figured prominently in my book, The Economics of Technocracy, as the Sheik who wants to dominate AI and Fintech globally. His wealth, power, and global influence make Trump look like a wannabe. He is the nexus between Islamic finance and the privatized asset-based tokenized system based on stablecoins. ⁃ Patrick Wood, Editor.

On the night of 12 November 1993, a slim, young Brazilian named Royce Gracie stepped into an octagonal cage in Denver, Colorado, and found himself staring up into the eyes of a giant. Gerard Gordeau, a Dutch kickboxer, stood five inches taller, weighed almost three stone more than him, and had an extra decade of fighting experience under his belt. Now the pair were about to engage in bare-knuckle combat: no judges, no separation of opponents by size, no respite until someone either got knocked out cold or begged for mercy.

The fight lasted barely 100 seconds. In that time, Gracie calmly tripped Gordeau up, jumped on his back, and clutched at his throat, forcing the big man to hammer the floor in submission.

About 80,000 pay-per-view spectators watched Gracie’s legendary victory – the finale of the first ever Ultimate Fighting Championship – live on television. Among them was an unassuming business studies student living in San Diego, California. Mesmerised by what he had seen, the student presented himself at a local martial arts academy that specialised in Brazilian jiu-jitsu – the discipline employed by Gracie to humble Gordeau in the cage – and asked to begin lessons. His classmates found it hard to take the newcomer seriously. “I was there the day he showed up,” said Kid Peligro, who went on to become one of the biggest jiu-jitsu stars in the world. “He was wearing shorts, flip-flops and a tank-top; he sat in the corner and barely spoke to anybody.”

The student, who introduced himself as Ben, was in his mid-20s and hailed from the Middle East, but revealed little else about his background. Peligro assumed that he served as the butler or bodyguard to the rich Englishman who sometimes accompanied him to lessons. “Ben was quiet, and he was dedicated,” Peligro told me. “He would often stay behind after class to sweep the mats.” Ben also took physical pain in his stride, even when it involved fractured bones. “If you trained in jiu-jitsu in the 1990s, you were going to get hurt,” said Bobby Razak, a film producer and martial arts enthusiast. “It wasn’t like it is now: very clean, very professional. Back then, it was raw.”

After more than a year of training, Ben made a startling announcement: he was about to return home to Abu Dhabi, capital of the United Arab Emirates, and would be taking the academy’s founder, Nelson Monteiro, along with him. Other invitations soon followed. Rumours spread that Ben was trying to establish his own martial arts centre on the shores of the Persian Gulf. One day, Peligro and his wife were sent a pair of first-class flight tickets to the UAE, worth $24,000 each. When they stepped off the plane, they were astonished to see pictures of a familiar-looking man – clearly Ben’s father – everywhere they turned, from billboards to banknotes. “Ben’s training centre turned out to be one of his family’s palaces,” Peligro said, still marvelling at the memory. “It’s like a fairytale.”

For those trying to uncover the truth behind His Highness Sheikh Tahnoon bin (or “Ben”) Zayed Al Nahyan – royal fixer, reclusive spymaster, financial behemoth – fairytales are nearly all we have to go on. Tahnoon, who really did enrol in Nelson Monteiro’s class under a pseudonym and eventually went on to become a jiu-jitsu black belt in his own right, now sits atop an economic fortune larger than the GDP of several major countries, and is closely entwined both personally and financially with the Trump White House. The global holdings overseen by Tahnoon span windfarms in Scotland and spaceships in Texas, Rihanna’s lingerie line and Richard Caring’s Ivy restaurants. From hospitals to housing blocks, solar farms to ski resorts, there is almost no place on Earth untouched by his financial firepower.

But despite his ever-growing influence on the world stage, Tahnoon prefers to remain in the shadows. He has never given a substantive interview to the press. Those who have worked closely with him are almost always made to sign non-disclosure agreements. Very few people outside the UAE even know his name. “He’s quiet,” says one former US national security official, “and he’s always everywhere.” Sheikh Tahnoon did not respond to an interview request for this article. The UAE foreign ministry did not offer any other senior government figure for interview, and declined to provide any comment.

Tahnoon’s power is soon going to extend over more human lives than ever before. As one of the most important AI financiers on the planet, he is rapidly embedding himself within the infrastructure that will underpin our digital future: its information pipelines and its microchip foundries, its datacentres and the enormous energy plants needed to power and cool them. Some see him as a technological prophet and saviour. Others compare him to a Bond villain. So who is the real “Ben”, and what are his plans for the rest of us?

Anyone trying to find Sheikh Tahnoon must first navigate concentric circles of gatekeepers. These include his closest business associates, as well as a cast of more colourful characters: the former Lebanese prime minister Saad Hariri, for example, or Melissa Moncada, one-time winner of the Miss Globe Colombia beauty pageant, and now a fitness entrepreneur. Even if you get this far, it may not be enough to be granted an audience, and supplicants go to extraordinary lengths to stand out from the crowd.

These scattered landmarks form the backstage of the modern Emirates. Together, they also tell the story of the six brothers who have come to dominate the country – a story that began more than half a century ago, with their father, Sheikh Zayed bin Sultan Al Nahyan, the UAE’s first leader following independence from Britain in 1971. During his 33-year reign, a loose network of Bedouin tribespeople living among mud-brick forts and palm-frond houses was transformed into an oil-rich regional superpower, home to some of the tallest buildings on Earth.

Zayed married seven times and is believed to have fathered at least 30 children. But it was the offspring of his third and favourite wife, Fatima Al Ketbi, who – under her tutelage – emerged as their nation’s powerbrokers. Tahnoon was one of them. Today, he and his siblings – known as the bani Fatima, or “sons of Fatima” – sit at the apex of arguably the wealthiest dynasty in the world.

Tahnoon and his brothers grew up steeped in a worldview that placed their family at the centre of the universe. Any form of dissent was seen as an existential threat, not just to their own power but also to the small and fragile state they were responsible for protecting. “The family is the first school of values, the authentic guardian of identity, and the truest source of trust and belonging,” their mother, Fatima, once said, reflecting both the paternalistic ethics that prevail among the Emirati elite, and the Al Nahyans’ visceral hostility towards alternative ideologies such as socialism or political Islam. By the time Tahnoon returned from the US in 1995, a state-sponsored crackdown on Islamist civil society groups was under way, alongside reprisals against smaller emirates that resisted it.

During this period, the UAE’s leadership became increasingly conscious that money alone could not buy them international clout. Despite oil finds in the Gulf, it was the big Arab republics such as Egypt and Syria that still dominated the Middle East, both diplomatically and culturally. Military strength and strategic influence were needed to propel the Emirates into the big time. In the final years of his reign, Sheikh Zayed ensured that the bani Fatima were favourably positioned to drive this project forward.

As a younger brother, Tahnoon knew that the Abu Dhabi throne – and consequently the presidency of the UAE, which always accompanies it – was not destined for him. Instead, he was given the task of running his father’s private department, which oversaw Sheikh Zayed’s extensive personal assets, including palaces, farms and overseas landholdings such as London’s Berkeley Square. The role demanded a blend of charm and coercion, and the deployment of hard cash. By the late 1990s Tahnoon was making the latter his speciality, founding a company called the Royal Group that became the primary investment vehicle for his family’s many business interests. The group’s assets are currently worth $300bn.

Following Sheikh Zayed’s death in 2004, Tahnoon’s reputation as the UAE’s top money man grew. As comfortable in the boardrooms of Wall Street as he was in the Emirati majlis (the traditional court of the tribal ruler), Tahnoon melded the rhetoric of Bedouin values – duty, loyalty and humility – with a new vocabulary of technocratic managerialism. Today, the country’s largest sovereign wealth vehicle is run by Tahnoon; so is First Abu Dhabi Bank, its largest lender, and Alterra, the biggest climate investment fund in the world. In the UK alone, Tahnoon oversees healthcare providers and property giants, and controls investments in public utilities such as Thames Water. The economic empire he oversees is estimated to be worth about $1.5tr, as large as the entire economic output of Indonesia or Turkey.

But the line between Tahnoon’s personal fortune, the wider wealth of the Abu Dhabi royal family, and collective assets held – at least in theory – by the citizenry of the UAE, is blurry. According to the bani Fatima, that division is moot, as the wellbeing of the Al Nahyans is indistinguishable from the wellbeing of the nation at large. Not everyone agrees. “A lot of merchants in the UAE complain constantly – very quietly, very privately – about how Tahnoon crowds them out of the market,” Mira Al Hussein, an Emirati sociologist based at the University of Edinburgh, told me. In healthcare, for example, sovereign wealth funds and Tahnoon’s own corporate vehicles dominate the local industry; the private sector “cannot compete”, one senior executive recently told the Financial Times. “The general perception is that the country is a ship,” said Al Hussein, “and if that ship ever begins to sink, then the ruling family will jump off and take all of the wealth funds and investments and portfolios with them.”


Tahnoon is obsessed with winning. In the late 1990s, the sheikh became so determined to beat his brothers at the newly released video game Age of Empires – in which players attempt to transform pre-modern societies into monumental civilisations by hoarding resources and overpowering opponents – that he hired one of the game’s software developers to coach him. By the early 2000s, his attention had switched to chess. He personally financed the development of a refrigerator-sized supercomputer called Hydra, which soon became the most powerful chess player in the world, beating several grandmasters along the way. Hydra could only ever be used by a single person at a time. For hours at a stretch, day and night, that person was Tahnoon. In 2005, Hydra’s chief architect claimed in an online chess forum that Tahnoon was the greatest computer-chess freak alive.

Tahnoon has brought all these skills – fierce competitiveness, the careful accumulation of positional advantage, and an abiding fascination with melding human ingenuity and computing intelligence – to the financial realm. They have also proved vital in his other main role: as the man in charge of national security in the Emirates, and his country’s spymaster-in-chief.

Many of the individuals targeted by Tahnoon’s security apparatus can’t share their testimony. The UAE has a long history of enforced disappearances, secret detention sites and vicious reprisals against the family members of exiled dissidents – all extensively documented by international human rights organisations. But some survive to tell their tale.

In April 2018, Matthew Hedges, a young British academic, travelled to the UAE to conduct research for his PhD exploring the country’s national security strategy, a subject that touches directly on Tahnoon’s domain. By the end of his two-week visit, Hedges had started to feel uneasy. “I knew I was being followed,” he told me recently.

Entering Dubai airport on his way back to the UK, Hedges got no further than passport control. There he says he found a large group of masked men waiting for him, all dressed in black and carrying guns. He alleges that he was blindfolded, handcuffed and thrown in the back of an SUV. He was accused of working as a British spy and over the months of solitary confinement that followed, he says he was subjected to interrogations lasting up to 15 hours a day and made to swallow a cocktail of medications against his will. His captors allegedly threatened him with rendition to an overseas military base, and warned that they could harm his relatives. Following seven months of maltreatment, Hedges attempted to take his own life. “I knew their threats to be meaningful, because I knew the country,” he told me.

In the room where he was questioned by officials, Hedges says he saw bloodstains on the carpet and bloody footprints on the walls. “They were above my head height, and facing down,” he told me. “I’m over 6ft tall, so that means someone had been lifted up there.” When I asked Hedges who was ultimately responsible for his ordeal, he ran carefully up the chain of command within the Emirati security services, reciting names and job titles, before sitting quietly for a moment and taking a breath. “Then you get above the clouds,” he replied, eventually. “Then there is Tahnoon.” (In a government statement issued in 2023, the UAE insisted that Hedges “received entirely proper care … He was never subjected to, or threatened with, either torture or cruel, inhuman or degrading treatment of any sort.”)

Hedges ultimately confessed to a series of crimes, but insists that he did so under duress. In November 2018, following a hearing that lasted only five minutes, at which there was no defence lawyer present, he was sentenced to life in jail by an Emirati court. Following a diplomatic row with the British government, he was later granted a royal pardon. After his release, the UAE government mounted a smear campaign against him that included the release of a 19-page dossier of personal information including a psychiatric report. Compared with many others who pass through the country’s interrogation cells, he got off lightly. “Hedges’ experience is unfortunately common in the UAE, and abuses against Emirati civil society are even more repressive,” said Joey Shea, a senior Gulf researcher for Human Rights Watch.

Supporters of the Emirati regime bridle at this sort of criticism. They insist that it is grounded in western resentment at the UAE’s rise, and overlooks the unique security threats the nation faces from hostile neighbours and ideological insurgents. “The UAE has become a success story, and that’s led to you guys thinking, ‘Wait, these were the little ducklings that we used to run and now look at what they’re doing,’” said Abdulkhaleq Abdulla, an Emirati professor of political science who is well connected to ruling officials in the UAE. “I resent the claim that the UAE must ‘level up’ to international standards [on human rights]. You have your standard, we have ours.”

The Al Nahyan dynasty has good reason to feel insecure. Located on the tip of a landmass roiled by conflict to the north and south, and staring out across the Gulf at its far larger rival Iran, the UAE’s petro-riches make it an obvious target. Tahnoon and his brothers also know that their brand of autocratic monarchy is despised by political Islamists and pro-democracy Arab revolutionaries alike. Some 20 years ago, Christopher Davidson, an expert in Gulf politics at Durham University, spoke to one of the bani Fatima about the Emirates’ rising prestige. “He said to me, ‘You need to understand the mindset of this region. Others will try to take that away from us, or destroy us’,” Davidson recalled. “‘Whether it’s Iran, Yemen, the Muslim Brotherhood, Al-Qaeda … they’ll all be coming, one after another.’”

For the UAE’s leaders, the 9/11 attacks – perpetrated by a group of extremists that included two Emiratis – were a realisation of their darkest fears about violent enemies lurking within, and helped fuel an obsession with Islamism that persists to this day. (The UAE has been linked to covert funding and political support for far-right political parties in Europe who are seen to share Abu Dhabi’s perspective on this issue.) The US war on terror was also a moment of opportunity, enabling the Al Nahyans to present themselves to Washington as an island of stability within an otherwise forbidding region.

Throughout the 2000s, the Emirati regime ramped up its intelligence activities and increasingly focused on espionage technologies. The aim was to mitigate the country’s most obvious vulnerability: its tiny native population of 1.4 million people, which comprises only 11% of the UAE’s total residents, and makes it hard for the country to raise a significant army or to function in the absence of foreigners. By the end of the decade, it had struck a landmark security deal with the former US counterterrorism czar Richard Clarke, who was instrumental in lobbying Congress for more intrusive surveillance programmes both at home and abroad. Clarke moved out to Abu Dhabi and set up a secretive UAE spying unit, which was given the codename Project Raven.

Initially billed as a vital cog in the “war on terror”, Project Raven morphed into a vast and pervasive digital wiretap operation targeting not only Emiratis accused of terrorism, but many others merely suspected of being unfriendly to the UAE’s dictatorship. Although technically an Emirati initiative, much of the team running Project Raven were former US National Security Agency spies, Washington contractors and senior White House veterans. “The incentive was to help in the fight against terrorism,” Clarke later insisted. “The UAE is a very good counterterrorism partner.”

By 2011, when anti-government uprisings erupted across the Arab world, the focus of Project Raven’s energies had become clear. After a group of prominent Emirati judges, lawyers and journalists put their names to a petition calling for mild democratic reforms, the state’s response was uncompromising; over the next two years the majority of them were arrested, and dozens of signatories remain in jail today. More paranoid than ever, and harbouring fears that Emirati soldiers might refuse to turn their guns on fellow Muslims in the event of widespread street protests, the bani Fatima mobilised an 800-strong paramilitary force of Colombian and South African mercenaries to tighten their grip on power, and even greater resources were funnelled into digital hacking operations. To the Al Nahyans, mass politics was a threat: in their eyes, grateful subjects could only ever petition their leaders for concessions, never make demands of them as citizens. “The UAE’s internal security structure increasingly prioritised regime protection above all else,” said Mira Al Hussein.

It was against this backdrop that Tahnoon – alongside his role as the UAE’s money man – began rising up the ranks of the Emirati security establishment. In 2014, he became the country’s deputy national security adviser; two years later, he assumed the top job. As security chief, his new brief included some of the UAE’s most sensitive diplomatic missions, among them the breaking of a decades-long taboo in the Arab world by normalising relations with Israel. As the Middle East’s other leader in the field of cyber-espionage, Israeli intelligence had much to offer the Emiratis: not least access to Pegasus, the most advanced spyware ever built. With Pegasus, operatives were able to infiltrate almost any Apple or Android device without the user’s knowledge, and transform it into a permanent, pocket-sized spy.

Under Tahnoon’s stewardship, Project Raven – control of which had now passed into the hands of a private, state-linked Emirati company named DarkMatter – scaled up its hacking and surveillance activities. Local dissidents and suspicious foreigners on Emirati soil were targeted. But so, too, were human rights activists, journalists and politicians all over the world. Fiona Shackleton, a high-profile British divorce lawyer representing an estranged wife of the ruler of Dubai – whose other clients have included Prince Charles and Paul McCartney – was one such victim. Then UK prime minister Boris Johnson is believed to have been another. It seemed that no matter who you were, if you were deemed to threaten the interests of the Al Nahyan family and their friends, even tangentially, then you were a potential target.

In early 2019, a Reuters investigation – building on work by the Canadian research group The Citizen Lab – exposed much of Project Raven’s operations, and multiple legal proceedings were launched in the US against the initiative’s American contractors. Over the next year, Tahnoon officially shut down DarkMatter and broke apart its various entities. By that time, it appears he was nursing more ambitious plans.

A powerful new frontier in computing power – artificial intelligence – was just beginning to open up. To be genuinely transformative, this technology was going to require fantastical amounts of cash and data. By fusing together elements of his business and security empires, Tahnoon would be in a unique position to supply both. A company like no other was about to be born.

In Douglas Adams’s The Hitchhiker’s Guide to the Galaxy, a superintelligent computer programme named Deep Thought is asked “the great Question of Life, the Universe and Everything’”. After seven and a half million years, it finally delivers its famous answer: 42. Deep Thought goes on to say that, in order to explain its answer, it needs to design another giant computer programme. This one will be called “Earth”, and one of its core operational components will be human beings.

In this vision, the number 42 represents more than the meaning of life. It speaks to a world in which every facet of reality can ultimately be reduced to lines of code, and where ordinary people unwittingly live out their days in the service of computers rather than the other way around. In the late 2010s, when Tahnoon refashioned the ruins of DarkMatter into a new AI-focused company, he decided to honour Adams by calling it Group 42, or G42 for short.

G42 is the culmination of Tahnoon’s dual identity as a financier and spymaster, and the scale of its aspirations is staggering. Like many other tech giants, it aims to reconceptualise AI as a foundational form of infrastructure like water or electricity – a concept known as the “intelligence grid”. Unlike its Silicon Valley peers, however, G42’s intelligence grid has grown out of an actual nation state’s intelligence apparatus. The company’s marketing heavily emphasises its security capabilities, promising “real-time threat defence” for governments and businesses, and predictive tools that encompass “suspect profiling”, “relationship mapping” and “behavioural analysis”.

The tech industry is not short on exaggeration and bombast. Compared with many of his Silicon Valley peers, however, Tahnoon – a true AI believer who claims to have designed the entirety of one of his homes via ChatGPT – is in a unique position to deliver. G42 built on the espionage talents behind Project Raven and DarkMatter: Peng Xiao, who was the head of a key DarkMatter unit, is now G42’s CEO; Karim Sabbagh, DarkMatter’s former boss, currently runs one of G42’s main subsidiaries. One of G42’s first public products was a popular messaging app called ToTok, which was later revealed by the New York Times to be a piece of spyware, designed to “track every conversation, movement, relationship, appointment, sound and image of those who install it on their phones”.

In a statement to the Guardian, G42 denied that the company’s origins lay in cyber-espionage operations, or that it conducts or enables unlawful surveillance. “G42 was established as an AI and technology company focused on cloud and AI infrastructure,” the firm said. “Our businesses operate under applicable laws, contractual data protections, and rigorous security and compliance frameworks.”

If US tech giants are wary of G42’s links to cyberhacking, they are doing a good job of hiding it. Microsoft has invested $1.5bn in the company and its vice-chair, Brad Smith, now has a seat on G42’s board of directors. G42 and its specialist AI investment fund – also chaired by Tahnoon – are either direct investors in or major partners of Anthropic, xAI and OpenAI. Sam Altman, the latter’s CEO, calls Tahnoon “a dear personal friend”. Microsoft and OpenAI were approached for comment on this article, but neither company provided a response. In its statement to the Guardian, G42 noted that its partnership with Microsoft “is governed by a binding agreement developed in consultation with the US and UAE governments, covering cybersecurity, data protection, responsible AI, export controls and business integrity”.

Tahnoon’s appeal to Silicon Valley is obvious. After all, if you’re going to go into business with a cash-laden Gulf autocrat, then picking one who presides over a heavily digitised state-security empire – and who boasts a proven track record of hoovering up humongous amounts of personal data, the raw ingredient upon which your technology depends – feels like a logical choice. Mark Zuckerberg, Sam Altman and Elon Musk may all be hugely influential AI leaders, but none of them simultaneously runs the CIA.

Another powerful figure to have clutched Tahnoon and G42 close to his bosom is Donald Trump, who has hosted lavish state banquets for the sheikh at the White House and posed for photos with him in the Oval Office. The American security services have long harboured fears about Emirati influence on US politics: in 2022 the National Intelligence Council produced a confidential report for Washington policymakers warning of Abu Dhabi’s “illegal and legal attempts to steer US foreign policy”. Joe Biden’s administration restricted the export of AI chips to the UAE because of concerns over the country’s close ties to China. But last year Trump reversed that decision, authorising the transfer of hundreds of thousands of Silicon Valley’s most advanced chips to the Al Nahyan regime. Many of them will go straight to G42.

The deal was announced only two weeks after one of Tahnoon’s investment vehicles acquired $2bn-worth of cryptocurrency issued by World Liberty, a company owned by the Trump family, who earn interest on all its reserves. Tahnoon is also a direct investor in World Liberty, having purchased 49% of the firm less than a month before Trump’s second inauguration. Both the White House and World Liberty have denied any connection between Tahnoon’s investments and the chip transfer. A spokesperson for G42 told the New York Times that the company was “grounded in integrity”.

“Corruption, plain and simple,” is how the Massachusetts senator Elizabeth Warren describes the murky entanglement of Tahnoon’s money and the US White House. But the rapid ascent of Tahnoon and G42 within the AI industry reflects a sincerely held conviction on the part of both the Trump administration and the bani Fatima that AI is set to replace oil as the elemental global commodity – and ultimate determinant of global power – and that now is the time to master it.

The result is that G42, under Tahnoon’s control, has successfully positioned itself at the heart of global AI infrastructure for decades to come. The “AI campus” currently being constructed on the UAE’s coastline is projected to have a 5GW power capacity, up to 250 times the size of the largest hyperscale datacentres today. G42 is helping to finance a $500bn rollout of new datacentres within the US, and has now acquired several of the construction companies involved. Last year, Microsoft and G42 officially co-launched the Responsible AI Future Foundation, designed to shape “ethical development and deployment of AI systems”. It is headquartered – of course – in Abu Dhabi.

Does it matter if significant chunks of our AI infrastructure sit in the hands of a man with the entire arsenal of a police state at his disposal? One person who might be able to answer that is Ahmed Mansoor, a mild-mannered Emirati electrical engineer and aspiring poet. In the early 2010s, Mansoor was among that group of public intellectuals who signed a petition calling for the creation of an elected parliament in the UAE; he also ran a website on which content critical of the Al Nahyan regime was sometimes posted. In April 2011, he was arrested on multiple charges, including the defamation of the bani Fatima, but initially released thanks to a presidential pardon.

In the years that followed, though, Mansoor was relentlessly targeted by the Emirati security services, who spent millions of dollars attempting to gain access to his electronic devices, and those of his wife. Eventually, Mansoor succumbed to a malicious email attachment, which sent all of his private data to a computer server registered to PO box 5151 in Abu Dhabi: the postal address of Sheikh Tahnoon’s personal office. He later found out that his baby monitor had also been hacked, turning it into a camera and microphone that captured every moment of his family life. He was arrested again in 2017, subjected to a secret trial, and convicted of insulting the “status and prestige of the UAE and its symbols, including its leaders”. Sentenced to 10 years in jail, he has remained in solitary confinement in al-Sadr, the maximum-security jail located about 10 miles south-west of G42’s AI mega-campus, ever since.

We don’t know if Tahnoon will use his commanding position at the heart of the AI industry to directly hack, surveil and intimidate critics, as his security services did with Mansoor. But the character of those controlling this new technology matters. Today, we don’t just use major tech platforms to store files and send messages: more and more people use AI to be their therapist, friend or even lover. Tech executives assure us that our data is safe from prying eyes but ordinary citizens have very few ways of verifying this. In its pomp, the early smartphone manufacturer BlackBerry insisted that “privacy and security form the crux of everything we do”. It failed to mention that BlackBerry was secretly working with the cybersecurity unit of a foreign government at the time, and helping it to carry out digital surveillance of mobile users. That cybersecurity unit was the UAE’s DarkMatter group, the precursor to G42.

The potential risks of untrustworthy actors controlling AI may be more insidious than direct hacking and surveillance. A group of researchers recently revealed that AI tools – including products from Meta, Google and SpaceX – are regularly altering the meaning of texts on sensitive political topics, in ways that could reshape public opinion. “I’m very worried about Tahnoon’s perception of the world,” says Al Hussein. “He’s the video-game prince who wants to press a button and eliminate all threats.”

For a glimpse of what a world reshaped in Tahnoon’s image might look like, consider the UAE. Here, political parties are nonexistent, trade unions and labour strikes prohibited, and protests and lèse-majesté met with rapid punishment. Migrant workers, who make up the vast majority of the country’s residents, are kept in a state of legalised insecurity and suffer from thousands of officially unexplained deaths each year, which human rights organisations attribute to heat stress, construction accidents and other poor working conditions. Businesses, by contrast, can pick and choose the regulations that govern them from a patchwork quilt of 40-odd “freezones”, all competing to lure investors with bespoke tax regimes and legal frameworks.

Beyond the UAE’s borders, Abu Dhabi’s dominion encompasses a vast network of ports, security partners, client regimes and financial flows spanning the Red Sea and huge swathes of north, eastern and central Africa. Often presented as a neutral entrepot, torn between rival global power blocs to the east and the west, the reality is that the UAE has always served faithfully as capital’s emirate: shielding the wealth of international elites, opening up inhospitable markets, paving the way for western investors, and – as Colin Powers, a political economist specialising in the Middle East, puts it – “energetically extending the circuitry of global wealth accumulation”.

Under the bani Fatima, this function has included the brutal suppression of any democratic experiment within the Emirati field of influence that might threaten the material interests of the Al Nahyans or their allies. In Egypt, the UAE has helped sustain the military dictatorship of Abdel Fattah al-Sisi, which has turned its guns upon thousands of protesters. In Yemen, Libya and Ethiopia, it has armed paramilitaries and fuelled shocking levels of state violence against civilians. In Sudan, it is accused of complicity in genocide. In response, Abu Dhabi has deployed AI tools as part of a sophisticated disinformation campaign designed to discredit the United Nations. Several dissidents wanted by other dictatorships – from Iran to Saudi Arabia and Rwanda – have also been kidnapped while transiting through Dubai airport, before being “delivered” by the Emiratis to their home country’s security forces. Not all of Abu Dhabi’s foreign adventures have been successful; many have led to military quagmires and reputational damage on the world stage. But for those on the receiving end of Emirati intervention, the consequences have been dire.

The imperial ambitions of Tahnoon and his brothers do not seem to rest on direct occupation of land, but rather on controlling key “nodes” outside their borders: the sites at which the movement of money, arms, trade, technology and ideas intersect. AI, the functioning of which is distributed across territories around the world, is the ideal asset for a nodal empire. Tahnoon’s goal of making the UAE an AI superpower is framed domestically as part of his family’s historic mission to improve the lot of the Emirati people. But the UAE’s accumulation of power in recent decades has been delivered on the bani Fatima’s own terms. Central to the Al Nahyan family’s worldview is the notion that, amid a planet riven by the chaos and humiliation of democracy, their nation is a demonstration that things can and should work differently. According to Tahnoon’s brother, President Mohamed bin Zayed Al Nahyan, “The UAE is a tangible model for the world.”

With his array of spy tools, superyachts and supercomputers, his preference for remaining far from public view, his habit of always wearing dark glasses in public (even indoors), and – of course – his obsession with personal longevity (he aims to live to 150), it would be easy to characterise Tahnoon as a cartoon villain. But in truth, this is not a story about a malevolent prince plotting vile deeds from his palace in the Persian Gulf. It is a far more prosaic tale about how power and money function in the world today.

In Washington, just as in Abu Dhabi, politics is increasingly governed by personal relationships and transactional gains rather than popular demands. In the UK, as in the UAE, firms such as Palantir that offer AI-enabled surveillance and data crunching are being integrated with the basic functions of the state. All over the planet, business-friendly strongmen are the order of the day. “For the last 20 years, democracy has been in decline,” said Ronald Deibert, the founder and director of The Citizen Lab. “That happens to coincide with an enormous expansion of digital surveillance capabilities for both commercial and national security purposes. The epicentre of a lot of this is the UAE. And where do all roads lead in the UAE? They lead to Sheikh Tahnoon.”

On 27 February, Tahnoon chaired a board meeting at G42’s AI investment fund. That night, the sky above Abu Dhabi’s seafront lit up with the flashes of US and Israeli missiles raining down across the Persian Gulf, marking the start of the Iran war. One of Tehran’s first acts of retaliation was to directly bomb two AI datacentres in the UAE. The Iranian government soon published an official list of what they considered “legitimate” military targets which included the Emirati offices of US technology companies such as Amazon, Google and Microsoft. Western journalists speculated that this could spell the end of Tahnoon’s AI dreams. “Why did we ever think datacentres in the Gulf were a good idea?” ran one headline in the Financial Times.

Over the following months, Tahnoon shuttled around the Middle East, conducting covert diplomacy. According to Reuters, senior officials from Iran’s revolutionary guards were hosted by Tahnoon in his Abu Dhabi guesthouse. By mid-June, he had reportedly struck an agreement that provided billions of dollars for the Iranian government, and brought Iran’s strikes on the UAE to a halt. A few weeks later, on the same day that Trump announced that the US’s ceasefire with Iran was “over”, the US commerce department quietly confirmed that it was removing the last remaining export controls restricting the sale of advanced AI chips to Abu Dhabi.

As life in Abu Dhabi gradually returned to something resembling normality, Tahnoon’s family members began reappearing in public. A company founded by his daughter, Sheikha Fatima bint Tahnoon, signed a memorandum of understanding with G42 last month, suggesting that she is being primed to follow in his footsteps and eventually assume a commanding role within the UAE’s tech-security empire. Tahnoon’s son, Sheikh Zayed bin Tahnoon, was the guest of honour at several major jiu-jitsu events this summer. Tahnoon himself, meanwhile, stayed far from the public eye. Judging when to retreat, and knowing when to strike: “Ben” had outmanoeuvred his doubters once again.

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Trump to name AI czar within days: ‘We will have somebody extraordinary’

Every candidate on the short list is mentioned prominently in The Final Betrayal: How Technocracy Destroyed America. What is Trump thinking about establishing the AI Force?  Will this fall under the Department of Defense to be weaponized against Americans? Technocracy is turning ugly and has set its sights on capturing the whole enchilada: the Government, the financial system, the rationing of resources, and control over all citizens. Just like 1930s Technocrats, look for calls to dismiss Congress altogether and appoint Technocrats from top to bottom to run everything in society. Yes, that’s the historical record. Are you willing to risk a repeat? ⁃ Patrick Wood, Editor.

President Trump said Tuesday that he will name his artificial intelligence czar within the next few days.

Speaking at the White House alongside artificial intelligence executives, Mr. Trump said he expected to announce his pick within the next “three-to-four days.”

Mr. Trump said he wanted to seek opinions from AI companies, House Speaker Mike Johnson, Louisiana Republican, and Senate Majority Leader John Thune, South Dakota Republican, before selecting a candidate.

“We will have somebody extraordinary,” he told reporters.

Candidates who have been floated for the position include Sriram Krishan, the senior White House policy advisor on AI; Sean Cairncross, the administration’s national cyber director, and Michael Kratsios, director of the White House Office of Science and Technology Policy.

Treasury Secretary Scott Bessent was said to be among the potential candidates, but Mr. Trump said last week that he eliminated him from consideration because he wanted him to stay at the Treasury.

Industry insiders and some lawmakers have called for limits on the technology because of concerns that machines could go rogue or fall into the wrong hands and cause widespread harm. Mr. Trump dismissed such claims, saying the guardrails need to be relaxed to keep America competitive.

Earlier Tuesday, he hosted a lunch with artificial intelligence executives. Mr. Trump now refers to the technology as “super intelligence.”

Mr. Trump said earlier this month that whoever gets the position will likely lead a new “AI Force.” The president said it would be similar to the Space Force, which he established during his first term, but he did not disclose whether it would be a new branch of the military or how it would work.

David Sacks, a venture capitalist, previously served as Mr. Trump’s AI and crypto czar, but left the White House earlier this year once his term as a special government employee expired.

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