Tag: technology

Largest US Power Grid Is 6.8 Gigawatts Short To Ensure Reliability On Historic Data Center Boom

The largest US power grid failed for a third straight year to secure enough future supply commitments to ensure reliability for the future amid a historic boom in data center demand.

PJM Interconnection, the largest US power grid (Regional Transmission Organization), which serves 67 million customers in 13 states and Washington, DC, said its auction to procure power for the year starting June 2028 fell 6.8 gigawatts short of what it will need to guarantee system reliability during demand spikes, in a statement released Tuesday. The shortfall is equivalent to almost seven traditional nuclear reactors.

The result ramps up pressure on a grid that’s home to Virginia’s Data Center Alley, the biggest concentration of data centers in the US, and has borne the brunt of criticism for the struggle to manage the AI boom and sufficiently protect customers from soaring costs. Attention now shifts to an emergency procurement mechanism later this year that aims to shift the burden of ramping up power generation to hyperscalers.

6.831 Megawatt Shortfall

PJM Interconnection today announced the results of its 2028/2029 Base Residual Auction (BRA), which secured 138,318 MW of unforced capacity generation (UCAP) and demand response to meet projected electricity needs for the more than 67 million people across 13 states and the District of Columbia, which fall under the RTO’s umbrella.

Regions under the Fixed Resource Requirement (FRR) acquired an additional 10,864 MW in UCAP, for a total of 149,182 MW in UCAP available to serve forecasted peak electricity demand, plus a reserve margin. UCAP represents a generation resource’s maximum output adjusted for its estimated ability to reliably perform at times of highest system risk. The capacity of the resources procured in the auction, plus FRR resources, is short of PJM’s reliability requirement by 6,831 MW, meaning that the committed supply is less than what would be required to meet the one-event-in-10-year reliability standard (and with electricity-guzzling data centers popping up almost daily these days, the one-event-in-10-year has become a daily occurrence).

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New York imposes the first statewide ban on large data centers

New York blocked the construction of any new large data centers for up to a year on Tuesday while the state creates rules to protect the environment and the energy grid from power-hungry facilities that fuel artificial intelligence.

Gov. Kathy Hochul signed an executive order imposing the country’s first statewide moratorium on hyperscale data centers, which house thousands of computer servers and require massive amounts of energy and a steady supply of water to keep cool.

The move puts the state in the center of a national debate over how to regulate the AI industry, as concerns over rising electric bills and environmental risks collide with the need to stimulate local economies and foster the U.S. tech sector.

“It’s my responsibility to take action and lead,” Hochul, a Democrat, said in a statement.

In effect, the executive order pauses state permitting for new large data centers and direct state regulators to create standards that address environmental impacts, energy demand, water usage and other factors, the governor’s office said.

President Donald Trump has warned states not to slap regulations on the AI industry, echoing tech companies in arguing such moves hamper job growth and cede ground to China in a race to lead in the rapidly growing field.

Earlier this year, Maine seemed poised to establish a similar moratorium. But the measure was vetoed by Democratic Gov. Janet Mills because it would have blocked a proposed data center in a town that has struggled after a mill closed.

Moratoriums have been proposed in at least a dozen states but have not gotten far, though some counties and municipalities have imposed their own temporary bans.

The decision in New York also carries political significance for Hochul’s reelection campaign and the state’s tight congressional races this fall, as Democrats move to address affordability concerns over high utility bills. In addition, the governor this year softened New York’s ambitious goals to reduce greenhouse gases, citing rising energy costs for consumers.

Hochul’s Republican opponent in the governor’s race, Nassau County Executive Bruce Blakeman, opposes a statewide moratorium and says local governments should be allowed to strike deals with tech companies for data center projects that promise enough economic benefits.

The state Legislature this year approved its own moratorium bill, but Hochul’s office described the legislation as complex and said it needed additional work. Instead, the governor opted for an executive order that would take effect immediately.

New York, at this stage, has not been a destination for the biggest hyperscale data centers.

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AI Companies Absorbing Office Space At Record Pace: Report

Artificial intelligence (AI) firms are absorbing office space in primary markets such as San Francisco and New York City at a record pace, and the sector’s voracious demand for office space to build out development teams and products has begun spilling into a select subset of submarkets as well.

National AI office demand was up 85 percent in the 12 months through May and spiked 179 percent in major AI hubs, a new AI report published on July 9 by AI-powered commercial real estate platform VTS states.

AI companies represented office demand of 16.8 million square feet across 17 markets during the period, VTS senior research manager Rene Moreira noted.

However, three metro areas represented nearly two-thirds of total office demand from AI companies, with San Francisco—the global epicenter for AI talent and development—accounting for 25 percent.

Office properties in San Francisco and Silicon Valley, California, and New York accounted for 63 percent of all current AI leasing, Moreira said.

“San Francisco alone sits at 5 million square feet, nearly a third of the national total,” he said.

Unprecedented office demand from AI companies in San Francisco is powering the city’s office market to a modest recovery after the COVID-19 pandemic. In the second quarter of 2019, San Francisco’s office market hit a vacancy rate of 4.7 percent. Vacancy soared following work-from-home initiatives, however, reaching 30 percent in 2023 and topping out at 35.7 percent as recently as the second quarter of 2025, the City of San Francisco reported.

San Francisco’s office vacancy stood at 32.6 percent at the end of the first quarter of this year.

“San Francisco’s 81 active AI requirements average 62,000 square feet, 2.3 times the average tech requirement across all markets,” Moreira said.

The 45 active AI office lease searches in New York average 61,00 square feet each, while the 58 active searches in Silicon Valley average about 48,000 square feet, or 2.8 million square feet of office space.

Each submarket caters to different AI users, VTS noted. San Francisco is the headquarters of AI pioneers Anthropic (Claude) and OpenAI (ChatGPT), while Silicon Valley’s AI firms tend to be chip designers, hardware manufacturers, and infrastructure providers. New York’s AI companies are skewed toward enterprise-level AI firms, a nod to the city’s massive financial, legal, and media industries. AI firms in Washington, such as Anduril, Palantir, and Shield AI, serve the defense industry.

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Pollution from Musk’s unpermitted xAI power project hits hardest in Black communities

Elon Musk’s artificial intelligence company xAI has installed 59 natural gas turbines for its Colossus 2 data center project in Tennessee without securing federal clean air permits, according to communications between regulators and xAI representatives.

Potential emissions from the turbines are far beyond the threshold that would require a federal permit, and would be released near predominantly Black communities already estimated to be suffering disproportionately high rates of lung disease, according to a Reuters analysis based on government data and information in the correspondence with regulators.

The findings, which have not been previously reported, reflect how exploding electricity demand from AI data centers is driving companies to build off-grid power plants at a pace outstripping environmental oversight, with potentially big risks to public health.

The number of unpermitted turbines identified by Reuters is about double what xAI has publicly acknowledged. The company previously said it was running 27 unpermitted turbines for Colossus 2 as of January and has argued the permits are not required. At least 57 of the 59 turbines are located in Mississippi, just over the state line from Tennessee where the data center is located.

The xAI turbines are among scores of off-grid power plants for data centers proposed or under construction around the country. Local authorities often fast-track approvals in just weeks or months, without the years of environmental studies and public hearings typically required for such power generation projects that connect to the grid, Reuters has reported.

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REPORT: Russia Intercepts Western AI Drones Smuggled for Deep Strikes on Military Bases

Russian security forces have seized a cache of Western-manufactured, artificial intelligence-guided drones that were allegedly smuggled into the country for planned attacks on remote military aviation bases in the Ural Mountains and the Far East.

The Federal Security Service (FSB) announced Monday that operatives intercepted the hardware before it could reach the Shagol air base in the Chelyabinsk region and the Ukrainka air base in the Amur region. Several individuals involved in the transit operation have been detained.

Covert Smuggling Operation

According to the FSB, the drones first entered Russian territory using balloons and larger fixed-wing unmanned aircraft, landing in the Bryansk border region. Smugglers then concealed the devices inside specially modified trailers equipped with false bottoms, transporting them across the country disguised as shipments of household appliances, reported Sputnik.

AI-Guided Strike Capabilities

Russian authorities stated that the confiscated drones originated from the United States, Britain, Canada, and Sweden. Each unit was armed with more than one kilogram of explosives and featured advanced AI navigation systems engineered to evade Russian electronic warfare and signal-jamming networks.

Parallel to Ukrainian Tactics

The intercepted plot bears similarities to a 2025 Ukrainian operation known as “Spider’s Web,” in which trucks with retractable wooden roofs were used to transport and launch drones. That campaign reportedly damaged around 20 aircraft and successfully struck the Ukrainka base.

In recent months, Kyiv has intensified long-range strikes on Russian defense enterprises and energy infrastructure located deep inside the country. These attacks have taken major oil refineries offline, contributing to widespread fuel shortages.

Kremlin Accuses West of EscalationI

n response to the expanding reach of Ukrainian deep-strike operations, Moscow has sharpened its accusations against Western nations, claiming they are directly enabling the attacks.

Last week, Kremlin spokesman Dmitry Peskov declared that Western support for Ukraine had transformed Russia’s “special military operation” into a full-scale war.

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The Latest Model Cars: Big Brother Is Watching You

Big Brother is a character in George Orwell’s novel 1984, the entity that governs Oceania, through the tyrannical single party – the Ingsoc. No one knows about it, but it is omnipresent through telescreens with strong propaganda and controlling everything.

An article written by Steve Watson in Modernity.news, gives an account of how the surveillance state has found its new frontier: the dashboard of your car. What was once a symbol of American freedom and independence, automobiles are rapidly transforming into a high-tech cage that watches their every move and can override their decisions at will.

In a post shared on X, users detailed the multiple complaints about Subaru’s improved “EyeSight” AI system, which is present in the latest models. According to drivers, the system gets quick glimpses beyond their intentions to plan their route. At the same time, Biden-era federal mandates were put in place to make this level of surveillance mandatory on every new vehicle by 2027.

They even catch a momentary glance to change a song or admire the landscape and activate constant alerts. Thus, its new Emergency Stop Assist with Safe Lane Selection function can detect an “unresponsive” driver and issue increasing alerts through sounds and vibrations at the steering wheel, and then take full control: automatically brake, reduce the vehicle’s speed, direct it to the side of the road, and activate hazard lights.

This is not an optional trick but would be imposed by the state. It’s being rolled out as standard “safety” technology, but drivers call it a domineering electronic babysitter who treats competent adults like children. It serves as a chilling preview of where the entire auto industry is headed under government pressure.

This type of intrusive surveillance is precisely the tool that a police state would dream of to exert total control over personal movements. If authorities achieve deeper integration with these systems, they could effectively decide when, where, and who can drive.

The launch of Subaru is just the latest sticking point in a broader push toward vehicle surveillance that goes far beyond basic security. A federal mandate – included in the Infrastructure Investment and Jobs Act of 2021 – requires all new passenger vehicles sold in the US to include advanced drunk or drug-impaired driving prevention technology, starting with 2027 model years.

As detailed in the New York Post report, this means infrared cameras and sensors that constantly monitor eyes, faces, head position, and behavior for distractions, drowsiness, or deterioration, with the power to prevent the car from starting or limit its operation. It seems very appropriate, but it implies a great deal of arbitrariness if it comes into the hands of bureaucrats.

Manufacturers are already patenting and deploying even more aggressive systems, including biometric scans that analyze everything from gait to heart rate to AI face scanning, lip reading, and emotional monitoring. The problem is that the data won’t stay in the car: it could make its way to insurers for risk scoring, law enforcement, or worse, to the knowledge of Big Brother: as cross-checks of drivers with police databases, before the vehicle is even allowed to move.

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The Secret Race To Produce the First AI-Generated Blockbuster Movie

Movie-making is an artifice, so will creators embrace AI?

While many actors and filmmakers go out of their way to bash AI image-generating technology as hard as they can, there’s a secret undercurrent in which Hollywood is all-in on Artificial Intelligence, and the race is on to generate the first AI blockbuster.

Some sectors of the film industry are slow to accept change, with some still refusing to change 35mm film for digital.

The fact is: when creators shun utilizing new tech developments, they are just marrying themselves to an earlier-age’s technological solutions – after all, there’s nothing natural about film-making.

The New York Post reported:

“AI has officially been met with extreme skepticism by more entrenched filmmakers. However — as is always the way in two-faced, back-biting, cutthroat Hollywood — that also means behind the scenes, every studio, filmmaker, and screenwriter worth their salt are desperately trying to harness its power to push the boundaries and create something new to wow audiences with.

‘The space race was about being first, but it was also about inspiring the world that we should keep competing and keep investing [in the technology]. Bigger than being first, which is fleeting, is inspiring the world’, Bryn Mooser, who has two Academy Award nominations for documentary shorts, told The Post.”

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US citizen found guilty of helping export tech to Iran in violation of sanctions

A Massachusetts man was found guilty Monday of conspiring to unlawfully export electronic components to Iran in violation of U.S. sanctions.

Mahdi Mohammad Sadeghi, who worked at the global electronics company Analog Devices, was accused of helping an Iranian business associate get around American export control laws. U.S. prosecutors say the business associate’s Tehran-based company makes navigation systems for the military drone program of Iran’s Revolutionary Guard. Authorities say the scheme included the creation of a front company in Switzerland.

The second defendant, Mohammad Abedininajafabadi, called Abedini in court documents, was not on trial. He is believed to be in Iran after an apparent prisoner exchange for an Italian journalist.

Sadeghi was found guilty on three of the five charges. He showed no visible reaction to the verdict, which came early in the fourth day of jury deliberations. He and his lawyers did not comment as they left court, and he will remain free until sentencing Oct. 13

Sadeghi, a 43-year-old naturalized U.S. citizen, chose not to testify. A father of two, he lost his job at Analog Devices due to the charges. Although he was arrested in December 2024, long before the current war with Iran, his trial has unfolded during the conflict.

“At its core, this case is straightforward. You cannot send goods, especially the goods at issue in this case, to Iran. Period. Full stop,” Assistant U.S. Attorney Alathea Porter told the jury. “The defendant knew that, and conspired with Mr. Abedini to do that.”

Assistant U.S. Attorney Jared Dolan, in his closing remarks, said documents, text messages and photos proved that the illegal acts were the “fruits of this relationship” between Sadeghi and Abedini.

“The evidence established that he knew what Abedini was doing because he told him in writing,” Dolan said. “He helped him anyway.”

Sadeghi’s attorney, William Fick, told jurors that the scheme laid out by the prosecution “makes no sense” and was full of holes. He said Sadeghi was only offering advice to a longtime friend about how to get business with the semiconductor company, and wasn’t responsible for procuring the parts for Abedini.

Fick said there was no proof the parts ended up in Iran, and he disputed that the Swiss company was a front.

“If you look at the world through dirty glasses, everything looks dirty,” Fick said. “That is fundamentally what the prosecution is asking you to do here.”

Fick also said prosecutors hadn’t shown Sadeghi gained anything from the alleged plan — although the prosecution pointed out that they didn’t need to prove a motive.

“He had nothing to gain and everything to lose,” Fick said. “He has lived in the country for decades. He was a well-regarded, respected employee on his way up in the company.”

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AI war machines hit the ground running: Marine Corps quietly orders autonomous ground vehicle fleet that can drive itself into combat

The United States Marine Corps has quietly placed its first production order for a fleet of fully autonomous ground vehicles that can navigate battlefields, plot their own routes, and execute resupply missions without a human behind the wheel. This is no longer science fiction. Under a $19.7 million production award issued through the Pentagon’s Accelerate the Procurement and Fielding of Innovative Technologies program, Seattle-based Overland AI will deliver more than a dozen autonomous ground vehicles to the Marine Corps by early 2027, marking the first time a ground autonomy company has served as the prime contractor for a production contract of its kind. While military officials frame this as a logistical upgrade, the deeper implications point toward a future where machines not only drive themselves but eventually decide when and how to kill, and in the most efficient manner possible.

Key points:

  • The Marine Corps has awarded Overland AI a $19.7 million contract for autonomous ground vehicles.
  • Vehicles will operate without continuous human control using onboard navigation software.
  • First operational role focuses on resupply missions for the Marine Air Defense Integrated System.
  • Overland AI CEO Byron Boots confirmed extremely high demand from U.S. operational units.
  • Autonomous platforms could expand into intelligence, surveillance, and breaching missions.
  • Contract delivered through Pentagon APFIT program designed to accelerate battlefield technology.
  • Vehicles use open architecture allowing integration with Joint Light Tactical Vehicle platforms.

When machines decide where to go

What separates Overland AI’s platform from previous unmanned ground vehicles is the degree of independence these machines possess. Traditional robotic vehicles require a remote operator to steer, accelerate, and brake, essentially a video game controller attached to a military vehicle. Overland AI’s system operates differently. Operators assign a destination point, and the onboard software handles everything else. The vehicle plans its own route, interprets terrain conditions, controls acceleration and braking, and navigates obstacles without continuous human input. Personnel can still assume remote control when necessary, but the default mode is machine autonomy.

This represents a fundamental shift in military robotics. The Marine Corps is no longer testing remote-controlled equipment. It is buying vehicles that make driving decisions on their own. Overland AI Chief Executive Officer Byron Boots stated that demand for autonomous ground systems has increased sharply as militaries evaluate lessons from recent conflicts. “Ground autonomy matters now more than ever,” Boots said. “We’re registering extremely high demand from U.S. operational units who want to incorporate this technology into their concepts of operation.”

The company expects to deliver the vehicles in roughly nine months, though officials did not disclose the exact number of platforms or technical specifications including payload capacity and vehicle type. This opacity is deliberate. The military does not want adversaries knowing how many autonomous systems are entering the battlefield or what they are capable of carrying.

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While The Political Circus Distracts Us, Flock Builds The Digital Police State

“You had to live – did live, from habit that became instinct – in the assumption that every sound you made was overheard, and, except in darkness, every movement scrutinized.”

– George Orwell, 1984

While Americans remain transfixed by the political circus – cheering for their preferred party, jeering at the opposition, obsessing over every manufactured outrage and waiting for the next spectacle – the Surveillance State continues its steady march forward.

The government is watching.

It watches where you go, whom you meet, where you worship, what medical offices you visit, what political rallies you attend, what protests you join, what books you read, what websites you visit and what causes you support.

It watches through your phone, your car, your doorbell, your appliances, your purchases, your social media accounts and the cameras positioned along the roads you travel every day.

This is how freedom dies in the digital police state: not always through dramatic declarations of martial law or soldiers stationed on every street corner, but through the gradual construction of a technological dragnet—an electronic concentration camp—so pervasive that privacy becomes impossible and anonymity becomes suspicious.

Enter Flock Safety, a private surveillance technology company whose automated license plate readers have spread throughout thousands of American communities.

These cameras, which do much more than photograph license plates, represent the next evolution of the government’s public-private surveillance partnership.

They document the time and location of every passing vehicle and record identifying characteristics such as its make, model, color, damage, roof racks, bumper stickers and other distinctive features. That information can then be placed in a searchable database and used to retrace a vehicle’s movements over time.

Yet the real power—and the real danger—of Flock does not come from the cameras alone.

It comes from artificial intelligence.

A camera can photograph a car. Flock’s AI-powered platform can identify and categorize a vehicle, compare an observation with stored records, generate alerts, identify connections and help police reconstruct where that vehicle has been.

AI is what transforms a photograph into the building blocks for a suspect society.

With AI, every driver becomes a data point. Every data point becomes a pattern. And every pattern becomes a suspicion.

This is how ordinary movements become potentially suspect and subject to government scrutiny. It allows law enforcement agencies to search not only for a complete license plate number but also for partial plates and physical descriptions such as vehicle color, make, model, damage, roof racks, bumper stickers and other identifying characteristics.

A police officer might ask the system to locate every red pickup truck with a ladder rack seen near a protest, every vehicle that repeatedly visited a particular address, or every car observed traveling between two locations.

The artificial intelligence does the sorting. The database supplies the history.

The government receives a list of potential suspects.

This is no longer surveillance conducted by individual officers following particular leads. It is surveillance conducted at machine speed, across entire populations, with algorithms deciding whose movements merit further scrutiny.

Consider the scale of what is taking place.

License plate cameras now log approximately 20 billion vehicle scans every month.

Twenty billion.

That is not targeted policing. That is mass collection.

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