Tag: ai

AI Authoritarianism: A Government Without Constitutional Brakes

“United States AI companies must be free to innovate without cumbersome regulation.”—President Donald Trump, Executive Order 14365

The era of small government is over.

Anyone who tells you differently is selling you a lie.

Case in point: Donald Trump promised to shrink the federal government.

But what if Trump’s pledge to cut the federal work force wasn’t really about eliminating government bureaucracy but outsourcing it to the AI tech sector?

What if Trump, with the backing of a self-serving industry eager to automate government, is instead helping to build a government that no longer needs as many human beings to operate it?

Hundreds of thousands of federal workers are disappearing from the government payroll at the same time that Washington is racing to automate the work they once performed with artificial intelligence.

Since Trump returned to office, the federal workforce has shrunk by more than 270,000 employees, the result of hiring freezes, deferred resignations, early retirements and reductions in force.

At the same time, the Trump administration has embraced an aggressive campaign to automate government operations, with the General Services Administration instructing agencies to “eliminate, optimize and automate“ their work wherever possible.

This is not a return to smaller government.

It is a dangerous recalibration of government power.

What we are watching unfold is the construction of a government that requires fewer human beings to carry out its will, fewer human beings to question its orders, and fewer human beings to stand in the way when efficiency collides with legality, morality or constitutional restraint.

That is the real danger of automating government.

Human beings hesitate. Human beings question. Human beings object. Human beings refuse. Human beings blow the whistle.

Machines do not hesitate. They do not object. They do not blow the whistle.

For the most part, machines do what they are programmed to do. Until they don’t.

Keep reading

‘Bunker Mode’: OpenAI’s Jaw-Dropping Math Blitz Draws Boycott, Warning Over Crypto Wallets

OpenAI just unleashed hundreds of AI-generated mathematical papers in a single release, which include breakthroughs on problems that have frustrated researchers for generations. The pace of discovery here has started to freak out mathematicians – who are now calling for a boycott – while top minds in crypto are raising a chilling question: could AI eventually undermine the mathematics protecting digital wallets before quantum computing?

On October 6, the company published 722 manuscripts covering 372 groups of related findings, all generated by an internal AI model that has not been released to the public. The papers appeared in a public GitHub repository. OpenAI says the work emerged from testing the model on roughly 4,000 research problems, with each result in the final collection using, on average, computing power equivalent to about three hours of ChatGPT Pro’s thinking mode. The collection includes claims about prime numbers, geometry and the mathematics underlying computing, touching problems that have resisted some of the world’s best minds for decades.

Perhaps the most startling claim concerns the Riemann hypothesis, a mathematical puzzle dating to 1859 that deals with the hidden patterns governing prime numbers – the building blocks from which every whole number greater than one can be made.

For math nerds: 

Mathematicians study those patterns through a special mathematical function, looking in particular at the points where it equals zero. The full Riemann hypothesis predicts that all the important zeros fall along one precise line. OpenAI’s model has not proved that. Instead, it claims to have ruled out zeros across an enormous, permanently defined region where previous proofs offered a much narrower guarantee. If the claim holds up, it would be a major advance toward understanding one of mathematics’ most famous unsolved problems.

For specialists, the dividing line in the new claim is a value of 7/8, while the full hypothesis would require 1/2. The related equations are known as the Riemann zeta function and Dirichlet L-functions. For everyone else, the point is simpler: the AI claims to have established a far stronger limit on where these crucial mathematical points can appear, without claiming to have settled the entire puzzle.

Other OpenAI papers claim progress on the Hodge conjecture – which concerns the structure of complex geometric shapes – though only for a class of objects called CM abelian varieties.

Math nerds rejoice? Or panic?

Keep reading

Russia’s Crown Jewel Refinery Ablaze After Drone Strike, Data Center Also Hit In War First

Ukrainian drones have hit a major Russian industrial hub and oil refinery which lies very far away from the front lines of fighting, in Western Siberia, north of the Kazakh border.

The Omsk Oil refinery and industrial complex is located well over 1500 miles from the Ukrainian border. Regional Governor Vitaly Khotsenko announced Telegram that several drones were shot down by air defenses, but that one made it through to impact.

Ukraine’s General Staff was quick to own up to the Thursday attack, stating, “The destruction of such facilities is the exercise by Ukraine of its inalienable right to self-defense in accordance with Article 51 of the UN Charter and is aimed at reducing the military-economic potential of the Russian Federation.”

While the extent of potential damage to the refinery itself remains unknown, images from local residents showed explosions and fire in the area near the oil refinery.

Emergency crews are active at the scene of the facility, Russia’s largest, which is owned by Gazprom Neft

Keep reading

Researchers Develop AI ‘Mind-Reading’ Tool That Reconstructs What Your Eyes See

A cutting-edge new artificial intelligence (AI) tool can reconstruct images from a person’s vision simply by analyzing brain scans.

The technology recreates a person’s visual field with startling accuracy and can also predict brain activity by analyzing what a person is looking at in real time.

Professor Michal Irani of the Weizmann Institute of Science developed the “mind-reading” AI model Brain-IT, which interprets functional magnetic resonance imaging (fMRI) scans of participants’ brain activity as they view a series of images.

Irani and her team – which includes Roman Beliy, Amit Zalcher, Jonathan Kogman, and Navve Wasserman from Weizmann’s Computer Science and Applied Mathematics Department – released their research on Sept. 14.

While the current study used fixed images, Irani’s lab plans to test these so-called mind-reading methods on participants’ hearing and, eventually, on video.

“What remains especially challenging is decoding video – for example, during dreaming,” Irani said in a statement.

“Dozens of images change every second, while an fMRI scan takes about two seconds. If we overcome all these obstacles, it’s possible that in the future we may even be able to read dreams.”

The study reviewed fMRI scans of eight participants who had viewed thousands of images across 30 to 40 scanning sessions. Participants viewed around 40 images over roughly 10-minute sessions as researchers scanned their brains six times. This created roughly 73,000 image-fMRI pairs for the AI model to analyze.

Irani said other models can translate brain activity into images with “impressive reconstructions,” but that they often make basic composition and color errors.

“The new model we developed outperforms them in reconstructing both the content of the image and its details,” she said.

“What’s more, while every other model requires dozens of hours of brain scans to learn to ‘read’ a new person, our model needs only one hour,” she said.

Scientists have been working on similar technology for years. A paper published in the Journal of Law and the Biosciences in 2017 discussed the possibility of reaching “brain-based mind reading” with neuroimaging techniques.

The paper described how these techniques could be used for lie detection to assess defendants, prisoners, and prospective jurors in court cases to improve the legal system. However, it also notes that brain-based mind reading could have potentially unethical coercive uses.

Improvements in the signal data produced by fMRI machines and in how humans analyze that data in recent years have made this technology possible, according to Kenneth Norman, a psychology and neuroscience professor at Princeton University.

In a discussion with the American Psychological Association in 2022, Norman said the technology could help people with depression or anxiety.

Therapists could use neurofeedback to make participants aware that their thinking has drifted toward negative thought loops and then give them direction to try to control those mental patterns, he said.

Some neuroscientists have heralded the capabilities of Brain-IT’s AI model, highlighting how it could therapeutically help people suffering from neurological conditions. But others have raised concerns about how the technology could be abused to coercively extract information from a person’s mind.

Keep reading

Federal Judge Calls License Plate Readers a Form of Mass Surveillance

The lower instance federal courts are making their rulings regarding license plate readers (LPRs) – and they are so far coming in contradictory.

The latest is from a federal judge in Oklahoma who has no doubt that the technology is “a type of indiscriminate mass surveillance” that is approaching a “dragnet type law enforcement practice” – and that the system is “constitutionally problematic” because it lets the police “indiscriminately and passively catalog your whereabouts over an extended period of time.”

US District Judge Sara E. Hill of the Northern District of Oklahoma made this and other points in her ruling in United States v. Kyle, where she said that a Tulsa County sheriff’s deputy violated the Fourth Amendment when he searched LPR systems without a warrant.

The case started with the traffic stop of a Mazda SUV with a California license plate that passed the deputy’s camera as he was parked by the highway. The judge said the deputy followed the car “for no apparent reason other than the fact that it had a California license plate.”

The vehicle was driven by Melisa Kyle, and the stop was justified as the deputy said she had changed lanes without signaling and was following another car too closely. But before he pulled her over, the deputy ran the plate through two LPR databases, Flock and VehicleManager.

The judge said this gave him access to “more than 50 individual records of Kyle’s whereabouts across the country for an entire month,” and that he had access to at least 30 days of the vehicle’s location information in many states.

The deputy used this information to help justify searching her car.

That search produced about 91 pounds of methamphetamine, and Kyle, 46, of Crane, Missouri, is now charged with possessing methamphetamine with intent to distribute. But the judge has ruled that the evidence was obtained illegally and suppressed it.

The ruling said the search “was not supported by probable cause, and it was done without a warrant in violation of Kyle’s Fourth Amendment rights.” The judge also suppressed “all evidence obtained after Alaniz initiated the ALPR search.”

The judge accepted that the technology has “remarkable benefits” but also asked, “why is it the government’s business where everyone goes all the time? The government cannot go snooping through our personal lives and business without an adequate basis to do so.”

In her ruling, Judge Hill also said that people “do not have a reasonable expectation of privacy in their movements on a public roadway” – but that the LPR technology “becomes constitutionally problematic when law enforcement can indiscriminately and passively catalog your whereabouts over an extended period of time.”

Keep reading

Finland orders halt to work on two Google data centres

Finnish authorities have ordered a halt to building work at two planned Google data centres amid concerns over the clearance of more than 300 hectares of forest.

The sites form part of Google’s record €13bn (£11bn; $15bn) investment in Finland, announced less than a month ago and described by the company as its largest single investment in Europe.

The Finnish Supervisory Agency (LVV) said work at one site was carried out without a mandatory environmental impact assessment and ordered measures that would “significantly alter the environment” to be suspended by 23 October.

Google said it had “fallen short of our own high standards in this instance” and would follow the agency’s guidance.

The orders relate to preparatory work carried out at the planned data centre sites in Muhos and Kajaani.

According to LVV’s head of environment Tommi Muilu, work at the sites included the removal of trees and topsoil, the construction of site roads and storage areas, and changes to ditches.

Tuike Finland, the company behind Google’s data centre projects, has been asked to provide an explanation and set out how it intends to proceed by 14 October. The agency said it could begin “enforcement proceedings” if the company failed to comply with its demand.

Hanna Halmeenpaa, chair of the Finnish Association for Nature Conservation, had previously told the AFP news agency that “nature sites which should be preserved” had been felled. The conservation group had previously called for work to be halted while the environmental requirements were examined.

In a statement to the BBC, Google said: “We understand the concerns and have fallen short of our own high standards in this instance.”

It said it had “acted in good faith under the Forestry Act”, carried out nature surveys and put measures in place to protect areas of high environmental value.

Keep reading

Anthropic President Daniela Amodei Created A Stuffed-Animal Advisory Council While At OpenAI

Before Anthropic existed, Daniela Amodei reportedly developed an unconventional method for sorting through difficult decisions at work: she and her husband created an imaginary group of advisers using plush toys, according to the NY Post.

The couple gave each toy a distinct temperament and point of view, then used those characters to consider how different kinds of managers might respond to the same problem, according to an account in The Atlantic drawn from journalist Kevin Roose’s forthcoming book, The AGI Chronicles.

The Post writes that one character, Jinji, was a laid-back cat whose instinct was to lighten Amodei’s workload and skip unnecessary meetings. A pink bear called Maura represented the opposite approach — organized, demanding and focused on details. Another, Beary Bonds, was a panda meant to bring compassion and generosity into the discussion.

Despite the playful setup, Amodei apparently found practical value in the exercise. She told Roose in 2023 that it was “very useful in analyzing different personality types.”

The practice was largely unknown inside OpenAI, where Amodei had been working since 2018. It also came during an increasingly difficult period for her and her brother Dario Amodei at the company.

Daniela had moved into management of technical teams and developed disagreements with several senior OpenAI figures, including Greg Brockman and Mira Murati. Her relationship with Brockman had previously been much warmer — he had even spoken at her wedding to Holden Karnofsky in 2017 — but their working relationship deteriorated over time.

Dario, meanwhile, had his own concerns about OpenAI’s leadership and the direction of its AI development. He became particularly wary of Sam Altman and Brockman and began organizing with researchers who wanted greater emphasis placed on the risks posed by increasingly powerful AI systems.

That faction communicated privately and held meetings outside the company’s usual structure. Some colleagues reportedly referred to it as “Dario’s clique.”

Eventually, the internal disagreements turned into plans for an entirely new company. In 2020, Dario began assembling a team willing to leave OpenAI and pursue advanced AI research under a different safety philosophy.

Daniela became a central figure in that departure, including negotiating with OpenAI as the group prepared to leave. Those involved reportedly referred to the split privately as “the divorce.”

Keep reading

OpenAI Shops $30 Billion Round To UAE Funds, BlackRock As Altman’s ‘Bad Things’ Remark Draws Bipartisan Fire

With its planned IPO on ice for the moment, OpenAI is pitching a $30 billion funding round to a group of United Arab Emirates sovereign funds led by Abu Dhabi’s MGX, along with BlackRock, at a $1.4 trillion pre-money valuation, Bloomberg reported Monday. There is no lead investor, and the price was set by OpenAI rather than negotiated. Meanwhile CEO Sam Altman has sparked a firestorm in DC with comments that the world should accept “some bad things happening” for the benefits of AI.

The OpenAI round

The UAE funds are considering an investment up to $10 billion between them at that $1.4 trillion valuation – which is is 64% above the $852 billion post-money valuation of the $122 billion round in March. The figure would also place OpenAI’s valuation above Anthropic, which was at $965 billion in May.

OpenAI’s annualized revenue has reportedly passed $40 billion, up 70% since July. That makes the ask roughly 35x run-rate for a company that Fortune says booked $6.7 billion of revenue and an operating loss in Q2, and that the FT reported spent $34 billion last year. One FT source said OpenAI “needs capital.” OpenAI says the March round left it with plenty. OpenAI filed confidentially for an IPO on June 8. Then, on Sept. 12, Altman told Fortune it wouldn’t be 2026 – “an ill-advised moment to go public,” given what’s going on with safety (and then just recently said ‘screw it’ – AI is worth the danger). That said, in April the WSJ reported that OpenAI had missed revenue and user targets and that CFO Sarah Friar was worried the company might not be able to pay for future compute contracts if revenue failed to catch up.

Then there’s the backstop. As we reported last November, Friar suggested the federal government could “backstop” OpenAI’s data-center financing. In June, as we detailed, Altman began floating a plan to hand small OpenAI equity stakes to ordinary Americans, which we read as a backdoor backstop. We asked at the time whether the bailout would come before the IPO or after. Nobody mentioned the third option: a $30 billion bridge round, priced by the issuer, in between.

DeepSeek

Overnight, Bloomberg also reported that DeepSeek is close to locking in at least 80 billion yuan ($12 billion) of new funding, with signed term sheets that could take the total to 100 billion yuan – twice the 50 billion it originally set out to raise. Tencent and CATL are writing the biggest checks. This is the same round DeepSeek paused in late July, as we noted, after transcripts leaked of founder Liang Wenfeng saying that Huawei was giving DeepSeek about 16,000 Ascend 950s while the internet giants got hundreds of thousands, and that DeepSeek could get hold of some processors he called “noncompliant.” The round restarted in August at a valuation of about $74 billion and has now blown through its target. On annualized revenue reported at $400-500 million in July, that valuation is well over 100x sales. OpenAI at 35x looks cheap next to it.

Keep reading

“Deeply Flawed”: Biggest US Grid Scraps Emergency Data Center Power Auction One Day After FERC Smackdown

We have been documenting the slow-motion collision between the AI capex fantasy and the laws of physics since late 2025, when we noted that some of Oracle’s OpenAI data centers were being pushed back to 2028 (Dec 12, 2025). Since then the delays have gone from anecdote to trend: in April we reported that half of US data centers scheduled to start in 2026 will be canceled or delayed (Apr 13), in August that more than two-thirds of the power sought for US data centers will never materialize (Aug 14), and just last week the two flagship Stargate campuses hit the wall within 24 hours of each other, with SB Energy delaying the IPO meant to fund the world’s largest data center (Sept 23) and Oracle’s Project Jupiter declaring force majeure (Sept 24).

Now we can add the US electrical grid itself to the list of things that won’t arrive on time.

On Wednesday, PJM Interconnection, operator of the largest US grid stretching from Illinois to DC serving 67 million customers across 13 states, and home to Virginia’s Data Center Alley, suspended the one-time “backstop” auction it was about to launch to plug a 6.8 gigawatt hole in its supply stack, less than a day after FERC ordered it back to the drawing board. The procurement, which was supposed to open for offers on Sept 30 and run through Oct 21 with selections by early December, now has, in the words of a PJM spokesman, a launch date that is “yet to be determined.”

For those keeping score, that is a power auction for data centers… delayed. You can’t make this up.

Recall that in July, PJM’s base capacity auction for 2028/29 came up 6.8GW short of its reliability requirement, the first time in PJM’s history that the entire RTO fell short, and only the price cap kept the clearing price at roughly $325/MW-day. As we tweeted that night, without the ceiling, PJM capacity prices would have been 70% higher at $554.72. A few hours later we added that “PJM is already below the critical reliability threshold.”

Keep reading

Trump Taps Intelligence Chief Jay Clayton As AI Czar, Brushing Off Calls To Slow Down

President Trump on Sunday named Director of National Intelligence Jay Clayton the White House’s AI czar. Clayton will hold both jobs, keeping the DNI post while spearheading the administration’s AI strategy.

Trump announced the move on Truth Social, saying the new “Super Intelligence Force” will “ensure that America continues to lead the World in Super Intelligence.” Its vice chairs are FTC Chairman Andrew Ferguson, OPM Director Scott Kupor and Pentagon Chief Technology Officer Emil Michael. Vice President JD Vance, Defense Secretary Pete Hegseth and Treasury Secretary Scott Bessent also sit on it, and it reports to Trump and Chief of Staff Susie Wiles.

The force has 120 days to report on the risks and opportunities of the technology and to recommend ways to strengthen the government’s response. Its charter, according to Implicator, calls for “preventing overregulation and regulatory capture that would stifle innovation and competition.”

Clayton takes a job last held by David Sacks, who stepped down as White House AI and crypto czar in March and now co-chairs the President’s Council of Advisors on Science and Technology. Sacks is one of two outside advisers to the force, along with former Secretary of State Condoleezza Rice.

Bessent had been mentioned for the job until Trump ruled it out on Sept. 25. “Scott Bessent will not be going to be Super Intelligence (SI) Czar,” Trump wrote. “Number One, he doesn’t want to. Number Two, he’s doing such a great job at Treasury, and that’s where I want to keep him! Why would I ever make such a change? Just more Fake News!” Axios reported Friday that Trump was expected to pick Clayton instead, and Trump has described Clayton as “a good man” for the role.

Keep reading