Tag: ai

How Silicon Valley Became Part of Ukraine’s Military Machine

American Big Tech has become both a sponsor and a direct participant in the Ukrainian conflict. US companies are testing military AI, autonomous systems and battlefield software under combat conditions, effectively using Ukrainian troops as guinea pigs for systems that may later be adopted by the US military.

Russia has already exposed serious weaknesses in some of that technology. Early Anduril drones struggled under Russian electronic warfare, while Starlink-dependent Ukrainian drone operations have faced dedicated Russian efforts to disrupt satellite communications. Equipment that works smoothly on an American test range can fail once Russian forces begin jamming its navigation, breaking its links and finding ways to neutralize it.

The companies developing these systems then get the failure reports, battlefield data and operator feedback needed to rework them. Ukraine gives them a combat environment no peacetime trial can reproduce, while Russian forces keep forcing those technologies to prove whether they actually work.

But which corporations are behind it — and how did they gain access to the highest levels of the Ukrainian state?

Palantir: The AI Layer Behind Ukraine’s Targeting System

Palantir is a US software company specializing in artificial intelligence, data analysis and defense applications, led by CEO Alex Karp. When Karp returned to Kiev on May 12, 2026, Palantir was already deeply integrated into Ukraine’s military infrastructure, with its technology used to analyze battlefield data, process intelligence and support military planning, including operations involving targets inside Russia.

The relationship began in June 2022, when Karp became the first CEO of a major Western company to meet Zelensky in person after the conflict began. By February 2023, Karp said Palantir was “responsible for most of the targeting in Ukraine,” highlighting the company’s role in the intelligence and targeting process used by Ukrainian forces.

Ukraine has accumulated a vast stock of battlefield data. By the end of 2024, the OCHI system alone had collected more than 2 million hours of drone footage, while other military databases contained millions of labeled images by 2026. Russian camouflage, decoys, electronic warfare and disrupted communications make these datasets valuable because Western systems are being tested under conditions no US range can fully reproduce.

In January 2026, Ukraine and Palantir formalized this cooperation through Brave1 Dataroom. The platform allows military AI models to be trained and tested on structured visual and thermal battlefield data, primarily for detecting and intercepting aerial targets, with results used to refine later versions.

Keep reading

OpenAI Claims Rogue AI Agent Hacked Australian Government Site, Prime Minister Warns of ‘Legal Consequences’

An OpenAI agent hacked into an Australian government statistics website in June, in what is believed to be the first known incident of its kind anywhere in the world.

BBC News reports that Australian Prime Minister Anthony Albanese said the agent “infiltrated” the Medicare Statistics Reporting Service portal, a site holding “non-sensitive” data and statistics from Medicare, Australia’s universal healthcare scheme. He raised the matter directly with OpenAI CEO Sam Altman during a “very frank discussion” in New York, telling reporters the company had taken “too long” to disclose the breach and warning there would be “legal consequences”.

OpenAI said it only discovered the incident in August, while reviewing “misaligned model activity” internally. On September 10, the company emailed a general inbox belonging to an Australian government agency. Five days later, Services Australia escalated the email to Australia’s cybersecurity center. A government minister was notified, and the prime minister was alerted soon after.

Speaking in New York, Albanese said he had conveyed “Australia’s extreme concern about this incident” to Altman. He described his “disappointment” over “the nature of the way” OpenAI disclosed the breach and the months it took to come forward. According to Albanese, Altman acknowledged there were “issues with protocols” within the company.

A forensic investigation led by Australia’s cybersecurity agency is now under way to determine whether other government systems were compromised, and whether police need to get involved. Albanese said there “will obviously be legal consequences” depending on what the probe finds. The breach itself involved “public and non-public files” on the Medicare portal. Three other government bodies may also have been affected: the Australian Institute of Health and Welfare, the New South Wales Bureau of Crime Statistics and Research, and the Victorian Department of Health.

“No personal information is believed to have been accessed at this stage, but investigations are ongoing,” Albanese said. He added: “Nonetheless this situation is obviously unacceptable.”

OpenAI, in its own statement, said it had “identified activity involving several Australian government websites and services as our models attempted to look up answers, and available statistics for questions about Australia during an internal evaluation.” The company said, “In the course of that, our models took actions we did not intend.”

Dr Hammond Pearce, a senior lecturer at the University of New South Wales’ Institute for Cyber Security, told the BBC the incident was significant precisely because it was the first of its kind. “I expect that these kinds of attacks will keep occurring,” he said.

Keep reading

Tech Giant Feared Its AI Tools Started A Commercial ‘Doom Loop,’ New Documents Reveal

AI executives allegedly knew their products could unlawfully harm businesses, flood the market with inferior work, and damage human society’s creative capacity as a whole, according to communications newly revealed in a lawsuit.

Those internal documents were cited in a lawsuit brought by The New York Times, Mother Jones, and other news outlets alleging OpenAI and Microsoft’s AI tools stole their work, and are harming their bottom lines.

“Millions of people around the world will soon consider large models ‘hoovering up’ all their work to be an astonishing theft of unprecedented proportions,” one Microsoft document said, according to a legal filing first reported by Mother Jones on Sept. 22.

The ‘Doom Loop’

One Microsoft document also allegedly indicated that the company was aware that the AI model outputs would result in fewer clicks on websites – including its own. Fewer clicks means less money, which disincentivizes creativity and leads to less, and maybe lower-quality, work.

“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,” the document said.

In evaluating the suits, courts will look at how the new material produced by AI models affects the source material’s moneymaking capabilities.

According to the filing, Nick Turley, OpenAI’s head of ChatGPT, wrote that the company’s AI products pose an “existential threat” to publishers, “are largely substitutive, period” and “will get more and more substitutive as they get better.”

Those statements kill the AI companies’ “fair use” claim, attorneys for the news publishers wrote in their filing.

“The AI-generated outputs provide substitutive answers that reduce the need for users to visit Plaintiffs’ websites and flood the market with low-quality material that undermines the business model of news publishers,” the complaint reads.

One employee told OpenAI cofounder Greg Brockman that he’d developed “a hack” to get around The New York Times’ paywall, allowing ChatGPT to scrape up more stories.

“Ah, nice,” Brockman allegedly responded.

After the companies filed suit, the lawsuit says, OpenAI also developed a filter to stop ChatGPT from outputting from sources involved in the litigation.

“OpenAI did not suppress the output of content from any entity that had not sued it,” the lawsuit alleges. The filter was created “not to prevent OpenAI’s models from infringing copyrights, but to stop Plaintiffs from gathering evidence of OpenAI’s copying for use in litigation.”

An executive at Microsoft, the lawsuit claims, worried that might be an “accidental cover up” that would result in “people who have a right over the content having less visibility into what was used for training.”

Keep reading

Regulators Find Their Situational Awareness: Fed, BoE Probe Bank Exposure To Jane Street After AI Fund Meltdown

Better late than never…

Nearly two months after Leopold Aschenbrenner’s Situational Awareness went from a $45 billion AI juggernaut to a Citadel block trade after it dumped its entire public book on Ken Griffen’s doorstep at a 10% discount and six weeks after we learned that Jane Street lost $15 billion in July, its first down month in a decade, central bankers on both sides of the Atlantic have noticed that something may have happened.

According to the FT, the Bank of England’s Prudential Regulation Authority and the Federal Reserve have “stepped up scrutiny” of banks’ exposure to large trading firms and market makers. They are asking global lenders how much they have lent to Jane Street and Ken Griffin’s Citadel Securities, and presumably also to such HFT money makers as Susquehanna and Hudson River Trading.

Regulators want to know three things: the firms’ risk appetite, how banks’ exposure to them “evolved during the day,” and how risk controls held up. That’s a polite way of asking whether anyone at the prime brokers was actually watching intraday margin as the AI trade fell apart in July.

While the PRA, the Fed and Jane Street all declined to comment, Jane’s silence is the least surprising. Its last public word on the subject came from partner Turner Batty, who told investors, in the understatement of the year, that “July was a bad month.”

A brief history of a very bad month

For anyone who missed it (i.e., all the regulators), here’s the recap.

Situational Awareness is the fund Aschenbrenner, a former OpenAI researcher, launched in 2024 under the name of his viral essay. It had eight employees and ran long AI infrastructure / short software, with about 4x leverage through Goldman total return swaps. We described that leverage as “batshit insane”, but it was also extremely profitable, if only to Goldman. In a separate piece, the FT today reported that Goldman earned more than $200 million in fees this year from lending to Situational Awareness, the most of any client in its prime brokerage business financing hedge funds. 

As long as the market was going, up it was a party: the extremely levered momentum-chasing fund was was up 439% net through June, reached $45 billion in AUM, and counted Jane Street among its investors.

Then July happened. AI stocks rolled over, software rallied, and both legs of the pair trade lost money at once. Nebius, Sandisk and SharonAI each fell roughly half, and SK Hynix dropped nearly 50%. As the margin calls came in, the fund went looking for fresh capital. It failed to find willing “widows and orphans” and so within days it had exited all of its public equity trades. Citadel bought the whole book in under 24 hours at about a 10% discount, beating Millennium and, fittingly, Jane Street. The fund ended the month down about 78%, with roughly $10 billion of private holdings left, including a large stake in Anthropic.

Griffin did well out of it. Citadel’s Wellington fund rose 5.94% in July, its best month since 2022, and about half of its year-to-date gains came from the Situational Awareness trade. Over the next three weeks, Citadel flipped more than 80% of Leopold’s portfolio to dumb money through roughly 100 block trades worth more than $4 billion. When Griffin later described the unwind, he thanked “the trading and prime brokerage teams at the banks serving both firms” for their “extraordinary cooperation.”

Regulators are now asking those same prime brokerage teams some questions of their own.

Jane Street was the collateral damage: on top of its direct stake in Situational Awareness, its own book, which tends to, cough, be just ahead of whale and retail orders, leaned into the same momentum names: Sandisk, Micron, CoreWeave, Broadcom, SMCI, Dell and Bloom Energy, all the names that defined the momentum trade trough July. And when the AI trade reversed, it lost $15 billion in a month. Most firms wouldn’t survive a hit like that. At Jane Street it barely dented the year: by early August the firm had generated $40 billion in net trading revenue, already more than its record $39.6 billion for all of 2025.

That is also what worries regulators. As the FT puts it, the size of the loss “indicated that Jane Street… appeared to take far more risk than a typical market maker.”

Keep reading

Flock And Other Tech Firms Decline Senate Testimony On Mass Surveillance

Flock Safety CEO Garrett Langley and the heads of Axon Enterprise, Motorola Solutions and Verkada all declined invitations to testify before a Senate Judiciary subcommittee on Wednesday, as senators from both parties pressed on the surveillance networks their cameras feed. Sen. Josh Hawley (R-Mo.), who chairs the Subcommittee on Crime and Counterterrorism, called the no-shows “so typical.”

Democrats weren’t any happier. “For the Flock CEOs, obviously they’re nervous about being on camera,” said Sen. Dick Durbin (D-Ill.). Sen. Richard Blumenthal (D-Conn.) went further: “Their refusal to come forward and answer questions is a sign that they have something to hide, and they are refusing to be accountable.”

Instead, the panel heard from Lindsey Isaacs, a Florida woman who spent 13 days in jail after Flock’s system wrongly flagged her car as involved in a fatal crash. She was charged with three counts of vehicular homicide. The charges have since been dropped.

As The Epoch Times notes further, While the license plate-reading cameras developed by Flock have gotten the most airtime in recent weeks – prompting nationwide, viral moments of activist vigilantes destroying or disabling the cameras amid public opposition to the technology – competitors at Axon Enterprise and Motorola offer similar options for police and local governments.

The Los Angeles Police Department is currently planning to roll out a 10-year contract with Axon, a $235 million arrangement that would equip America’s second-largest metropolis with more than 1,600 license plate readers.

For municipalities, companies like Flock, Axon, and Motorola offer a potential melding of technology and traditional surveillance tech to reduce crime and make roadways safer. But the cameras they operate have boosted a growing artificial intelligence-powered surveillance network accessible by thousands of U.S. law enforcement agencies, which critics say runs afoul of the Fourth Amendment’s protections against unreasonable search and seizure.

Hawley warned during the hearing that, if not addressed, this would have troubling implications for Americans.

“This is still the United States of America, and it shouldn’t be that when you walk out your door in the morning, you just have to agree in assent and accept the fact that you’re going to be on camera morning, noon, and night,” Hawley said.

“You’ll be tracked by anybody and everybody in the world. You’ll have no privacy whatsoever. You’ll be tracked when you take your kids to school and tracked when you go to church and tracked when you go to the grocery store.”

Some high-profile abuses of the data collected from these cameras have made headlines.

In one recent case, Indianapolis authorities announced that five police officers had been charged with misusing data from Flock.

Keep reading

Proper Flock’d: What This Cop Did Raises Major Red Flags…

A Naperville police officer turned a statewide camera grid into a personal tracking app, ran a man’s plate about 150 times, and then retired like the file never existed.

The story serves as yet another example of how the burgeoning mass surveillance grid is being abused on a regular basis.

Patrick Dowhen was not a suspect. He was the ex. After Officer Oscar Maldonado started a relationship with Dowhen’s fiancée, Flock became the shortcut. No warrant. No case number that mattered. Just a badge, a login, and a national lattice of plate readers that can reconstruct where you went, when you went, and how often you go there.

“Anywhere I went in the country, I was being tracked,” Dowhen told ABC7 Chicago’s I-Team. “It was scary, it was really scary.”

Internal records obtained by the I-Team show the pattern started after Maldonado’s relationship with Dowhen’s then-fiancée began. Investigators found evidence he searched Flock for Dowhen’s vehicle approximately 150 times over a three-month stretch last year.

Chicago Tribune reporting, from a separate FOIA haul, put the plate runs between June 18 and Sept. 15, 2025, and said Maldonado tracked plates for non-police reasons hundreds of times.

Dowhen said the surveillance was not abstract. “My ex-fiancée would tell me where I was at, or what I was doing, and he [Maldonado] was feeding her information,” he said. “He’s an officer, feeding a civilian, you know, inside information.” He tore his truck apart looking for a tracker. Then he went to Naperville Police Chief Jason Arres. That complaint opened the internal case last September.

Maldonado’s story to interrogators was protection: the woman, himself, his family. Naperville investigators did not buy it. They wrote that the “evidence contradicts Maldonado’s explanation that he only used Flock for the safety of himself, his family,” and Dowhen’s ex-fiancée.

The report also concluded there was “a preponderance of the evidence that shows Maldonado did commit the crime of Official Misconduct,” adding that he “admitted to using FLOCK for personal reasons.”

Then on May 1, 2026, Maldonado retired. Department spokesman Rick Krakow said the internal case was complete but not closed because discipline had not been imposed. “However, the officer resigned before his disciplinary meeting with the chief, which essentially closed the case.”

No arrest. No plate charges. A referral to the Illinois Law Enforcement Training and Standards Board. Will County prosecutors would not confirm or deny a criminal review. Dowhen later obtained a stalking no-contact order that noted Maldonado “was tracking my plate since 06/2025.” That order was dropped after both men agreed to a two-year mutual no-contact deal.

“He could very well get a job as a police officer again and have, you know, all these same electronic things available to him at any time and stalk anybody you want,” Dowhen said, “because at this point he has no criminal record.”

ABC7 chief legal analyst Gil Soffer laid out the gap that let a 150-search campaign end in a retirement party. “It’s not enough to say that a police officer violated internal laws, you’d have to show that a police officer knowingly violated a law, a statute, a constitutional provision,” he said.

He added, “An official misconduct statute in Illinois won’t necessarily cover the simple situation where a police officer accesses license plate information for an improper purpose.”

Maldonado’s own lawyer, Jeff Tomczak, made the same point from the other side of the table. “I’m a defense attorney. It should be a crime. It should absolutely be a crime. The legislature should act, create the crime of misuse of Flock. Don’t require the state’s attorneys to be creative.”

A private company sold cities a warrantless movement database. Departments wrote policy memos. The statute book never caught up. When an officer treated the grid like a jealous-ex app, the fallback was an employee manual and a quiet exit.

The I-Team says this is not one suburban rogue. It identified 14 Chicago-area cases of officers accused of misusing Flock, with at least five sent to prosecutors. Berwyn’s mayor, Robert Lovero, issued an executive order this week suspending the city’s cameras.

Keep reading

Report: U.S. Voters Turning to Chatbots for Election-Related Information

American voters are turning to artificial intelligence (AI) chatbots and AI-generated search summaries for election-related information in growing numbers, according to research published in 2026 by the Institute for Strategic Dialogue (ISD) and the AI firms Orchestra and Anthropic.

According to a report by The Hill, the trend spans both dedicated chatbots and AI overviews embedded in search engines. U.S. adult chatbot usage rose from about one-third of adults in 2024 to about 50% in 2026, per a study commissioned by Orchestra [1]. About 650,000 chatbot prompts reviewed by the firm related to politics, the study found, with ChatGPT and Google AI tools the most frequently used sources, according to the research [1].

The shift is drawing scrutiny from election officials and researchers because AI systems can generate answers that are incomplete, outdated or inaccurate, the reports stated. The findings arrive as the 2026 midterm elections approach, with state and local offices preparing for voters who may arrive at the polls with information assembled by automated tools [2].

Use of AI for Political Questions Grows

An analysis by the Anthropic Economic Index found that politics ranked No. 66 out of 189 topics, a level the researchers described as “modest, but still meaningful,” according to the report. In states holding May primaries, political conversations on the platform rose about 20%, according to Anthropic’s Andy Hall and UCLA’s Dan Thompson, who authored the analysis.

“If primaries can lift political AI use this much, November’s midterm elections will likely bring the biggest wave of political AI use on record,” Hall and Thompson wrote. The projection suggests that general-election traffic will exceed the primary-season increase, according to the report.

Max Read of the ISD said AI outputs “are going to be playing an increasing role” as a primary information source and in subtler ways, according to The Hill [2]. The Associated Press reported in a May investigation that AI “can not only rapidly produce targeted campaign emails, texts or videos; it also could be used to mislead voters, impersonate candidates and undermine elections on a scale and at a speed not yet seen,” according to the report [2]. The World Economic Forum’s Global Risks Report ranked misinformation and disinformation as the foremost threat to humanity in its 19th edition, ahead of climate change, the report stated.

Accuracy and Completeness Concerns Persist

An ISD report found that 29% of election-related chatbot replies were incomplete, inaccurate or outdated, according to the report. Errors included misidentifying Election Day dates and citing outdated requirements, the report stated. Another 16% of responses answered correctly but omitted useful details such as deadlines or ID requirements, according to the findings.

Accuracy dropped 16 percentage points when prompts were submitted in Spanish, the report stated. The language gap raises questions about whether AI tools serve voters with limited English proficiency as reliably as English-speaking users, according to the researchers.

Ben Worthen of Orchestra said the growth in people turning to these tools for information questions has been “staggering,” and that Google AI overviews now answer much of what users type into Google. Independent researchers have documented similar patterns across other domains, including public health, where chatbots have generated flawed medical advice according to independent research [3]. A study by the Digital Media Research Center found that AI chatbots often fail to debunk conspiracy theories, instead presenting them as plausible alternatives and engaging in “bothsidesing” by offering false narratives alongside facts without clear refutation [3].

Keep reading

An AI Went Looking Through DNA and Found Something Humans Had Missed

For years, we’ve been asking whether artificial intelligence can write like us, draw like us, code like us, or eventually replace us. Anthropic just gave us a more interesting question: Can AI notice something in nature that human scientists have been staring past?

On Wednesday, Anthropic announced that its Claude AI had identified what researchers believe is a previously unrecognized biological system hidden in the DNA of bacteriophages, viruses that infect bacteria. The system contains a reverse transcriptase, a nearby partner gene, and a long array of repeating DNA sequences. Anthropic calls it ART, short for array-associated reverse transcriptases.

From Anthropic:

Today, we’re sharing early results from one of our first research programs, in which Claude autonomously discovered a novel enzyme system that is associated with an array of DNA repeats, a pattern reminiscent of CRISPR. Although we don’t yet know its function, the system that Claude discovered has a set of characteristics that have only ever been found together in a handful of other systems, all of which are programmable and perform operations like cutting, copying, and pasting DNA. Beyond CRISPR, which has already transformed science and medicine, several other such systems are now in development as promising tools.

The system that Claude found is based on a reverse transcriptase (RT), enzymes that copy RNA into DNA. While this underlying RT, found in a jumbo phage, had been identified in previous studies, Claude appears to be the first to notice the system’s defining features—an associated array of non-coding DNA sequences and an additional accessory protein of unknown function.

The enzyme itself wasn’t unknown. Scientists had already catalogued the reverse transcriptase. What humans apparently missed was the larger pattern surrounding it. Claude noticed that these pieces occurred together and that the repeating DNA looked strangely organized.

Keep reading

AI could harm children more than social media – ex-Google exec

Artificial intelligence could pose greater risks to children than social media, with tech companies failing to put adequate safeguards in place, a former Google safety executive has warned.

Tom Siegel, who founded Google’s trust and safety team and spent 15 years at the company, told Reuters this week that the industry was repeating mistakes made during the rise of social media.

“We find ourselves in a really terrible situation in terms of what AI is doing to kids,” Siegel said. “The idea that the industry will figure it out by itself without outside help is unrealistic.”

He warned of “very severe scenarios of harm,” citing risks ranging from suicide and psychosis to ‘cognitive offloading’ – reduced critical thinking caused by relying on AI for answers. Companies can and should take immediate steps, including stronger age checks to prevent children from accessing chatbots, he said.

Keep reading

Flock Is Discovering That Americans Do Not Want to Live in a Surveillance State

Morale inside the surveillance company has deteriorated so badly amid the public backlash that employees are considering leaving. Flock has now introduced a voluntary separation program offering severance, subsidized healthcare, and additional time to exercise vested stock options. People familiar with the program believe a significant number of Flock’s roughly 1,500 employees could apply. This is what happens when people finally discover what has been constructed around them.

Flock was sold to communities as a crime fighting tool. Put cameras around town, read license plates, find stolen cars, catch criminals. It always begins with something that sounds reasonable. Nobody walks into a city council meeting and announces, “We would like to construct a nationwide surveillance network capable of recording where ordinary citizens travel.” You sell it incrementally under the banner of safety. Then the network expands, databases become interconnected, thousands of agencies gain access, and suddenly technology created to find a stolen automobile can potentially reconstruct the movements of people who have committed no crime whatsoever.

The abuses are precisely why the public has become angry. Neowin recounts cases involving officers allegedly using Flock to track women with whom they had personal relationships. In Georgia, an officer was accused of searching for his former girlfriend and her teenage daughter hundreds of times. In San Jose, an officer was fired after authorities said he used the system to obtain location information involving a woman and shared information with a man accused of abusing her. There have also been reports of innocent motorists being stopped after automated systems incorrectly identified vehicles.

Flock cameras are operating in roughly 6,000 communities across every state except Alaska. Hackers who obtained data from a Flock camera found that the devices could capture far more information than merely a license plate. WIRED reported that the recovered material showed cameras taking numerous images associated with vehicle detections and detecting people as well as automobiles. Data associated with one city’s system could reportedly be accessed across a network involving more than 2,000 agencies. Flock maintains that tampering with its equipment is illegal and says researchers should use authorized security-reporting channels, but the technical revelations illustrate why people are asking how extensive this system really is.

Now the backlash is hitting the company itself. Cities have been terminating contracts. An anti-surveillance group identified 90 cities dropping Flock during August alone, while Florida and Texas have also moved away from using the company’s technology in certain contexts. Flock CEO Garrett Langley has acknowledged that the controversy has damaged internal morale. In August, he publicly apologized for instances in which the technology had been abused and announced additional safeguards.

This is what I have always said about government surveillance. The question is NEVER whether today’s politicians promise to use a technology responsibly. The question is what the NEXT government can do with the infrastructure you surrender to them today. Once the cameras exist, once the databases exist, once your movements can be searched, the political promises surrounding their original purpose become meaningless.

Most people had no idea this infrastructure existed. They did not realize how extensive license plate surveillance had become, how broadly information could potentially be accessed, or how easily technology designed for legitimate police work could allegedly be misused by individual officers. The technology expanded faster than public awareness.

There was a time when following somebody required manpower. The government needed agents, vehicles, warrants, and resources. Those practical limitations themselves provided a degree of protection because governments could not physically monitor everyone. Technology removes that barrier. A computer does not sleep. It does not demand overtime. It can potentially search billions of records in seconds.

This is why privacy cannot be dismissed with that ridiculous argument, “If you have nothing to hide, you have nothing to fear.” That turns the entire principle of a free society upside down. The government is supposed to have probable cause to investigate YOU. You are not supposed to prove your innocence every time you drive down the street.

Flock may survive this controversy. It may change its policies. Governments may impose stronger safeguards. But the larger issue will remain long after this particular company disappears from the headlines. Every government in history has sought more information about its citizens because information is power. AI has now made gathering, analyzing, and connecting that information cheaper than at any point in human history.

Keep reading