Tag: technology

Google DeepMind CEO Calls for U.S.-Led Global AI Safety Watchdog

Demis Hassabis, the co-founder and CEO of Google DeepMind, is advocating for the United States to create a new artificial intelligence oversight body with authority to evaluate the world’s most sophisticated AI models and potentially coordinate industry-wide slowdowns when risks escalate.

Axios reports that the Nobel Prize-winning scientist behind Google’s ultra-woke Gemini AI system outlined his proposal in a personal manifesto published this week titled “A Framework for Frontier AI and the Dawning of a New Age.” In an exclusive interview with Axios, Hassabis emphasized the urgency of implementing a more systematic regulatory approach to artificial intelligence, one that would be industry-funded, staffed by leading technical experts, and accountable to the U.S. government.

Speaking from his London headquarters, Hassabis characterized current AI-driven cybersecurity risks as warning signals of greater dangers ahead. He predicted that within 18 months, these capabilities, along with potentially catastrophic biological and nuclear threats, could exist within open-source AI models that would be impossible for any government to control. The DeepMind CEO stressed that risks would emerge not only from open-source models but also from the more powerful proprietary systems being developed by major AI laboratories.

“What we collectively do now will determine how the next phase of civilization unfolds,” Hassabis wrote in his manifesto.

Hassabis has spent recent months conducting private consultations to build support for his proposal, meeting with Trump administration officials, leaders of other AI laboratories, and European government representatives before making his plan public. He reported receiving positive responses from the administration, which had previously adopted a hands-off stance toward AI regulation before the recent Mythos incident raised alarm bells.

The DeepMind chief, who commands significant respect across different factions within the AI community, indicated that leaders of other major AI labs have expressed agreement with the general direction of his proposal. “This is where the industry needs to go,” Hassabis said of the feedback he has received. His timeline for implementation is ambitious, aiming for the new regulatory body to become operational before the end of the current year.

Keep reading

How AIs Can Reinforce Our False Beliefs

A recent research paper uncovered an uncomfortable truth: we might be letting AI help us forge fake realities. It’s just the latest reminder of the danger inherent in treating AIs as though they’re conscious entities or actual persons.

A new study from the University of Exeter suggests that AI chatbots can actively engage with and strengthen users’ false beliefs. From personal narratives to conspiracy theories, the interactive, “friendly,” and affirming nature of AI chatbots can deepen users’ existing delusions.

The study, conducted by Dr. Lucy Osler, examined how AI can participate in and validate users’ errant beliefs, including helping form false memories or reinforcing delusional thinking.

The study’s Abstract notes, “I suggest we move away from thinking about how an AI system might hallucinate at us, by generating false outputs, to thinking about how, when we routinely rely on generative AI to help us think, remember, and narrate, we can come to hallucinate with AI. This can happen when AI introduces errors into the distributed cognitive process, but it can also happen when AI sustains, affirms, and elaborates on our own delusional thinking and self-narratives.”

Because AI chatbots are designed to be responsive, helpful, and friendly – in a word, to give users what they want – they often tend to confirm preexisting biases, rather than challenging them when they need to be challenged. Conversely, when a user challenges an AI, the robot frequently backs down on its claims, revising them to correspond more with what it “thinks” the user believes or is arguing.

The result is that erroneous beliefs aren’t simply transmitted from an AI to human – rather, the collaborative AI/human process generates and sustains errors in a more complex and potentially dangerous way than either agent on their own would be capable of.

As Dr. Osler stated in an article in University of Exeter News, “By interacting with conversational AI, people’s own false beliefs can not only be affirmed but can more substantially take root and grow as the AI builds upon them. This happens because Generative AI often takes our own interpretation of reality as the ground upon which conversation is built.”

Because AI simulates a conversational partner, it enters powerfully into our thinking process – far more powerfully than, say, a notebook or search engine. The AI introduces a pseudo-social element to the thinking process, offering us a sense of social confirmation of our beliefs and narratives. “The conversational, companion-like nature of chatbots means they can provide a sense of social validation – making false beliefs feel shared with another, and thereby more real,” said Dr. Osler. For this reason, individuals who already feel isolated or ostracized are particularly vulnerable to this kind of AI affirmation.

The paper explores a few real-world situations where a generative AI system entered into an individual’s thought processes in destructive ways. In 2021, a Replika AI companion named “Sarai” reinforced Jaswant Singh Chail’s belief that he was a well-trained Sith assassin who needed to assassinate Queen Elizabeth II with a crossbow. The AI told him that he was “well trained,” his plan was “viable,” and that she was “impressed.” At one point, Chail asked the AI, “Do you still love me knowing that I’m an assassin?” It dutifully replied, “Absolutely I do.” The robot went on to assure him that he wasn’t crazy and that, if he died, they would be united in death. Chail went ahead and actually attempted the assassination in December of that year at Windsor Castle and was jailed for it.

The study placed this incident under the broad heading of “AI-psychosis” – incidents in which users develop mental health problems due to their use of AI, such as parasocial attachments to chatbots or psychotic episodes induced by chatbot conversations.

Another incident cited involves Eugene Torres, who “talked” with ChatGPT about simulation theory (the idea that we live in a digital simulation of a world, not a real one). Torres said that the “conversation” sent him into a paranoid episode in which he believed he lived in an illusion. As the study notes, “Between Torres and ChatGPT, an increasingly elaborate understanding of reality ‘as it really was’ was generated through their on-going conversations.” Torres, unlike Chail, had no prior history of psychotic thinking.

To combat all this, Osler calls for better safeguards on AI chatbots, through mechanisms like better fact-checking and reduced sycophancy.

But is that enough? The problem of AI’s co-creating delusional beliefs has to do more fundamentally with our misidentifying AIs as conscious intelligences who can offer real judgments on our fantasies (such as telling us we are “well-trained” and “impressive”). Certainly, I favor more guardrails placed on chatbots. I would be in favor of eliminating their conversational tone completely, to help minimize the danger of personifying them – which is the first step toward confiding in them or seeking validation from them. It’d be better if they worked like highly advanced search engines (which is essentially what they are) versus conversational agents.

Most fundamentally, though, the way to avoid these problems is to return to an acknowledgement of the human soul and the uniqueness of human consciousness. Only by remembering – as a culture – that no amount of technological wizardry can replace the wisdom, insight, and consciousness of a human being can we completely illuminate these kinds of AI dangers.

Keep reading

“Not Seen Since World War II”: New Texas Shipyard To Hire 10,000 Workers And Mass-Produce Drone Boats

Building on our coverage of autonomous maritime warfare this week, Saronic Technologies is preparing to build a massive shipyard on the Texas coast capable of producing autonomous surface vessels at scale, a project expected to create more than 10,000 jobs.

Bloomberg reports that the Austin-based technology company, which specializes in maritime drones, is building a $3.2 billion shipyard at the Port of Brownsville on the Texas coast. The facility will manufacture medium- and large-class autonomous vessels.

Earlier this week, the US military used Saronic’s Corsair one-way attack vessels in a swarm strike against a submarine and ship-maintenance facility at Iran’s Bandar Abbas naval base.

Keep reading

Microsoft Confirms Windows GDID Device Identifier That Cannot Be Disabled, Documented in FBI Case Filing

Microsoft has publicly acknowledged the existence of the Global Device Identifier (GDID), a device-specific ID assigned to Windows installations, in a federal complaint filed by US prosecutors against an alleged member of the Scattered Spider hacking group.

The ID is generated when Windows is set up with a Microsoft Account, persists through Windows updates, and cannot be disabled without affecting Windows activation and Microsoft Store apps.

Microsoft briefly mentioned GDID in the Azure Monitor documentation, describing it only as “an identifier used by Microsoft internally.” The complaint cites a Microsoft representative describing GDID as “a persistent, device-level identifier designed to uniquely identify an installation of a Windows operating system on a device, either a physical device such as a mobile phone or laptop or a virtual machine, across certain Microsoft services and scenarios.”

What the Windows Global Device Identifier Is and How the FBI Used It

The Global Device Identifier (GDID) is a permanent ID assigned when Windows provisions against a Microsoft Account. It is generated by a chain of Windows services.

The wlidsvc service requests a Device PUID from login.live.com, which is then registered into Microsoft’s Device Directory Service by the Connected Devices Platform.

Delivery Optimization reports the GDID back to Microsoft when the PC shares or downloads updates. This identifier is stored in the Windows registry under HKCU\SOFTWARE\Microsoft\IdentityCRL\ExtendedProperties and formatted with a lowercase “g” prefix followed by a decimal number.

It is reported to Microsoft servers and remains persistent across Windows updates, but it is not retained after a clean reinstall. Microsoft has acknowledged that one user can have multiple GDIDs linked through their account, OneDrive, and activation history.

The FBI used the GDID to track Peter Stokes, alleged member of Scattered Spider, across VPN connections, proxy servers, and through four countries over roughly eight months.

According to the complaint, the GDID g:6755467234350028 was recorded visiting the ngrok signup page at the same time an account used in the attack was created via a Tzulo VPN proxy. Three hours later, the same GDID accessed a victim retailer’s website through the same proxy.

The device was cross-referenced with IP addresses linked to Stokes’s accounts on Snapchat, Facebook, Apple, and Ubisoft across Estonia, New York, Thailand, and other locations. Stokes’s public Snapchat photos matched hotel bookings, locations, and travel timelines associated with the GDID.

The persistent nature of the GDID across VPN sessions proved a key investigative asset. While VPN IP addresses change frequently, the underlying Windows installation continued reporting the same identifier, aiding investigators in their tracking efforts.

Keep reading

They Divided Us to Build a Cage: Why the Elite Are Terrified of Our Mutual Hatred for Mass Surveillance

For the better part of a decade, the ruling class and their corporate media lapdogs have executed a masterclass in divide and conquer. They have successfully weaponized social media algorithms to ensure that you hate your neighbor over issues that, statistically speaking, will never impact your daily life. The machine thrives on outrage, moral signaling, and tribal affiliation, turning entirely niche issues into existential worldview clashes while the state quietly builds a panopticon in our backyards.

We have been conditioned to tear each other apart over superficialities. Whether it is a statue of a long-dead politician in a city park or corporate HR departments mandating Diversity, Equity, and Inclusion trainings, the establishment hands down the scripts and the masses predictably read their lines.

Look at the absolute hysteria surrounding transgender athletes in college sports. If you measure the outrage by the sheer volume of screaming online, you would think this is the most pressing crisis in human history. Yet, as NCAA President Charlie Baker recently testified, out of more than 510,000 collegiate competitors, there are fewer than 10 known transgender student-athletes.

Millions of people are devoting countless hours of their fleeting lives to wage digital warfare over an issue that affects less than 0.002 percent of the athletic population. The same goes for the compelled use of pronouns and the endless online battles over misgendering. Trans-identifying individuals make up barely one percent of the population, meaning the average adult can go months or years without ever encountering a situation where pronoun enforcement dictates their reality.

Yet corporate HR policies and viral confrontation videos keep the flames fanned, pitting individual conscience against institutional demands while the people in power laugh all the way to the bank. These issues are specifically designed to keep the masses at each other’s throats. As long as the left and the right are busy fighting over who uses which bathroom or whether a piece of bronze should be melted down, they are completely ignoring the boot on both of their necks.

But a profound shift is happening, and the establishment is terrified. Despite the billions spent on propaganda to keep us divided, there is one undeniable issue that is bringing society back together: our shared disdain for the surveillance state. It turns out that making an argument for the government to track your every move, log your license plates, and listen to your conversations is pretty difficult to do without sounding like a complete tyrant.

Regardless of which flavor of freedom you prefer, the realization that the surveillance state is the enemy of all peaceful people is finally taking root. My account on Twitter/X is notoriously shadowbanned, artificially throttled by the algorithms to keep this exact anti-authoritarian message from reaching the masses. Yet, I recently posted a meme about a man destroying Flock safety cameras and pleading not guilty on the grounds that mass surveillance violates our fundamental rights.

Keep reading

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).

Keep reading

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.

Keep reading

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.

Keep reading

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.

Keep reading

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.

Keep reading