AI News Articles
Artificial Intelligence (AI) is emerging technology with great promise and potential for abuse. Below are key excerpts of revealing news articles on AI technology from reliable news media sources. If any link fails to function, a paywall blocks full access, or the article is no longer available, try these digital tools.
When Megan Rothbauer suffered a heart attack at work in Wisconsin, she was rushed to hospital in an ambulance. The nearest hospital was “not in network”, which left Ms Rothbauer with a $52,531.92 bill for her care. Had the ambulance driven a further three blocks to Meriter Hospital in Madison, the bill would have been a more modest $1,500. The incident laid bare the expensive complexity of the American healthcare system with patients finding that they are uncovered, despite paying hefty premiums, because of their policy’s small print. In many cases the grounds for refusal hinge on whether the insurer accepts that the treatment is necessary and that decision is increasingly being made by artificial intelligence rather than a physician. It is leading to coverage being denied on an industrial scale. Much of the work is outsourced, with the biggest operator being EviCore, which ... uses AI to review — and in many cases turn down — doctors’ requests for prior authorisation, guaranteeing to pay for treatment. The controversy over coverage denials was brought into sharp focus by the gunning down of UnitedHealthcare’s chief executive Brian Thompson in Manhattan. The [words written on the] casings [of] the ammunition — “deny”, “defend” and “depose” — are thought to refer to the tactics the insurance industry is accused of using to avoid paying out. UnitedHealthcare rejected one in three claims last year, about twice the industry average.
Note: For more along these lines, read our concise summaries of news articles on AI and corporate corruption.
At the Technology Readiness Experimentation (T-REX) event in August, the US Defense Department tested an artificial intelligence-enabled autonomous robotic gun system developed by fledgling defense contractor Allen Control Systems dubbed the “Bullfrog.” Consisting of a 7.62-mm M240 machine gun mounted on a specially designed rotating turret outfitted with an electro-optical sensor, proprietary AI, and computer vision software, the Bullfrog was designed to deliver small arms fire on drone targets with far more precision than the average US service member can achieve with a standard-issue weapon. Footage of the Bullfrog in action published by ACS shows the truck-mounted system locking onto small drones and knocking them out of the sky with just a few shots. Should the Pentagon adopt the system, it would represent the first publicly known lethal autonomous weapon in the US military’s arsenal. In accordance with the Pentagon’s current policy governing lethal autonomous weapons, the Bullfrog is designed to keep a human “in the loop” in order to avoid a potential “unauthorized engagement." In other words, the gun points at and follows targets, but does not fire until commanded to by a human operator. However, ACS officials claim that the system can operate totally autonomously should the US military require it to in the future, with sentry guns taking the entire kill chain out of the hands of service members.
Note: Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, see concise summaries of deeply revealing news articles on AI from reliable major media sources.
The current debate on military AI is largely driven by “tech bros” and other entrepreneurs who stand to profit immensely from militaries’ uptake of AI-enabled capabilities. Despite their influence on the conversation, these tech industry figures have little to no operational experience, meaning they cannot draw from first-hand accounts of combat to further justify arguments that AI is changing the character, if not nature, of war. Rather, they capitalize on their impressive business successes to influence a new model of capability development through opinion pieces in high-profile journals, public addresses at acclaimed security conferences, and presentations at top-tier universities. Three related considerations have combined to shape the hype surrounding military AI. First [is] the emergence of a new military industrial complex that is dependent on commercial service providers. Second, this new defense acquisition process is the cause and effect of a narrative suggesting a global AI arms race, which has encouraged scholars to discount the normative implications of AI-enabled warfare. Finally, while analysts assume that soldiers will trust AI, which is integral to human-machine teaming that facilitates AI-enabled warfare, trust is not guaranteed. Senior officers do not trust AI-enhanced capabilities. To the extent they do demonstrate increased levels of trust in machines, their trust is moderated by how machines are used.
Note: Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, read our concise summaries of news articles on AI and military corruption.
Big tech companies have spent vast sums of money honing algorithms that gather their users’ data and scour it for patterns. One result has been a boom in precision-targeted online advertisements. Another is a practice some experts call “algorithmic personalized pricing,” which uses artificial intelligence to tailor prices to individual consumers. The Federal Trade Commission uses a more Orwellian term for this: “surveillance pricing.” In July the FTC sent information-seeking orders to eight companies that “have publicly touted their use of AI and machine learning to engage in data-driven targeting,” says the agency’s chief technologist Stephanie Nguyen. Consumer surveillance extends beyond online shopping. “Companies are investing in infrastructure to monitor customers in real time in brick-and-mortar stores,” [Nguyen] says. Some price tags, for example, have become digitized, designed to be updated automatically in response to factors such as expiration dates and customer demand. Retail giant Walmart—which is not being probed by the FTC—says its new digital price tags can be remotely updated within minutes. When personalized pricing is applied to home mortgages, lower-income people tend to pay more—and algorithms can sometimes make things even worse by hiking up interest rates based on an inadvertently discriminatory automated estimate of a borrower’s risk rating.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
The Pentagon is turning to a new class of weapons to fight the numerically superior [China's] People’s Liberation Army: drones, lots and lots of drones. In August 2023, the Defense Department unveiled Replicator, its initiative to field thousands of “all-domain, attritable autonomous (ADA2) systems”: Pentagon-speak for low-cost (and potentially AI-driven) machines — in the form of self-piloting ships, large robot aircraft, and swarms of smaller kamikaze drones — that they can use and lose en masse to overwhelm Chinese forces. For the last 25 years, uncrewed Predators and Reapers, piloted by military personnel on the ground, have been killing civilians across the planet. Experts worry that mass production of new low-cost, deadly drones will lead to even more civilian casualties. Advances in AI have increasingly raised the possibility of robot planes, in various nations’ arsenals, selecting their own targets. During the first 20 years of the war on terror, the U.S. conducted more than 91,000 airstrikes ... and killed up to 48,308 civilians, according to a 2021 analysis. “The Pentagon has yet to come up with a reliable way to account for past civilian harm caused by U.S. military operations,” [Columbia Law’s Priyanka Motaparthy] said. “So the question becomes, ‘With the potential rapid increase in the use of drones, what safeguards potentially fall by the wayside? How can they possibly hope to reckon with future civilian harm when the scale becomes so much larger?’”
Note: Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, read our concise summaries of news articles on military corruption.
Edward Snowden wrote on social media to his nearly 6 million followers, "Do not ever trust @OpenAI ... You have been warned," following the appointment of retired U.S. Army General Paul Nakasone to the board of the artificial intelligence technology company. Snowden, a former National Security Agency (NSA) subcontractor, was charged with espionage by the Justice Department in 2013 after leaking thousands of top-secret records, exposing the agency's surveillance of private citizens' information. In a Friday morning post on X, formerly Twitter, Snowden reshared a post providing information on OpenAI's newest board member. Nakasone is a former NSA director, and the longest-serving leader of the U.S. Cyber Command and chief of the Central Security Service. In [a] statement, Nakasone said, "OpenAI's dedication to its mission aligns closely with my own values and experience in public service. I look forward to contributing to OpenAI's efforts to ensure artificial general intelligence is safe and beneficial to people around the world." Snowden wrote in an X post, "They've gone full mask-off: do not ever trust @OpenAI or its products (ChatGPT etc.) There is only one reason for appointing an @NSAGov Director to your board. This is a willful, calculated betrayal of the rights of every person on Earth." Snowden's post has received widespread attention, with nearly 2 million views, 43,500 likes, 16,000 reposts and around 1,000 comments as of Friday afternoon.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and intelligence agency corruption from reliable major media sources.
OpenAI on Thursday announced its newest board member: Paul M. Nakasone, a retired U.S. Army general and former director of the National Security Agency. Nakasone was the longest-serving leader of the U.S. Cyber Command and chief of the Central Security Service. The company said Nakasone will also join OpenAI’s recently created Safety and Security Committee. The committee is spending 90 days evaluating the company’s processes and safeguards before making recommendations to the board and, eventually, updating the public, OpenAI said. OpenAI is bolstering its board and its C-suite as its large language models gain importance across the tech sector and as competition rapidly emerges in the burgeoning generative artificial intelligence market. While the company has been in hyper-growth mode since late 2022, when it launched ChatGPT, OpenAI has also been riddled with controversy and high-level employee departures. The company said Sarah Friar, previously CEO of Nextdoor and finance chief at Square, is joining as chief financial officer. OpenAI also hired Kevin Weil, an ex-president at Planet Labs, as its new chief product officer. Weil was previously a senior vice president at Twitter and a vice president at Facebook and Instagram. Weil’s product team will focus on “applying our research to products and services that benefit consumers, developers, and businesses,” the company wrote.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and intelligence agency corruption from reliable major media sources.
Justice Department investigators are scrutinizing the healthcare industry’s use of AI embedded in patient records that prompts doctors to recommend treatments. Prosecutors have started subpoenaing pharmaceuticals and digital health companies to learn more about generative technology’s role in facilitating anti-kickback and false claims violations, said three sources familiar with the matter.. Two of the sources—speaking anonymously to discuss ongoing investigations—said DOJ attorneys are asking general questions suggesting they still may be formulating a strategy. “I have seen” civil investigative demands “that ask questions about algorithms and prompts that are being built into EMR systems that may be resulting in care that is either in excess of what would have otherwise been rendered, or may be medically unnecessary,” said Jaime Jones, who co-leads the healthcare practice at Sidley Austin. DOJ attorneys want “to see what the result is of those tools being built into the system.” The probes bring fresh relevance to a pair of 2020 criminal settlements with Purdue Pharma and its digital records contractor, Practice Fusion, over their collusion to design automated pop-up alerts pushing doctors to prescribe addictive painkillers. The kickback scheme ... led to a $145 million penalty for Practice Fusion. Marketers from Purdue ... worked in tandem with Practice Fusion to build clinical decision alerts relying on algorithms.
Note: Read how the US opioid industry operated like a drug cartel. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Pharma corruption from reliable major media sources.
Israel’s military has made no secret of the intensity of its bombardment of the Gaza Strip. There has, however, been relatively little attention paid to the methods used by the Israel Defense Forces (IDF) to select targets in Gaza, and to the role artificial intelligence has played in their bombing campaign. After the 11-day war in Gaza in May 2021, officials said Israel had fought its “first AI war” using machine learning and advanced computing. The latest Israel-Hamas war has provided an unprecedented opportunity for the IDF to use such tools in a much wider theatre of operations and, in particular, to deploy an AI target-creation platform called “the Gospel”, which has significantly accelerated a lethal production line of targets. In early November, the IDF said “more than 12,000” targets in Gaza had been identified by its target administration division. Aviv Kochavi, who served as the head of the IDF until January, has said the target division is “powered by AI capabilities” and includes hundreds of officers and soldiers. According to Kochavi, “once this machine was activated” in Israel’s 11-day war with Hamas in May 2021 it generated 100 targets a day. “To put that into perspective, in the past we would produce 50 targets in Gaza per year. Now, this machine produces 100 targets a single day, with 50% of them being attacked.” A separate source [said] the Gospel had allowed the IDF to run a “mass assassination factory” in which the “emphasis is on quantity and not on quality”.
Note: Read about Israel's use of AI warfare since at least 2021. For more along these lines, see concise summaries of deeply revealing news articles on war from reliable major media sources.
Ties between Silicon Valley and the Pentagon are deeper than previously known, according to thousands of previously unreported subcontracts published Wednesday. The subcontracts were obtained through open records requests by accountability nonprofit Tech Inquiry. They show that tech giants including Google, Amazon, and Microsoft have secured more than 5,000 agreements with agencies including the Department of Defense, Immigrations and Customs Enforcement, the Drug Enforcement Agency, and the FBI. Tech workers in recent years have pressured their employers to drop contracts with law enforcement and the military. Google workers revolted in 2018 after Gizmodo revealed that Google was building artificial intelligence for drone targeting through a subcontract with the Pentagon after some employees quit in protest, Google agreed not to renew the contract. Employees at Amazon and Microsoft have petitioned both companies to drop their contracts with ICE and the military. Neither company has. The newly-surfaced subcontracts ... show that the companies' connections to the Pentagon run deeper than many employees were previously aware. Tech Inquiry's research was led by Jack Poulson, a former Google researcher. "Often the high-level contract description between tech companies and the military looks very vanilla," Poulson [said]. "But only when you look at the details ... do you see the workings of how the customization from a tech company would actually be involved."
Note: For more along these lines, see concise summaries of deeply revealing news articles on corruption in government and in the corporate world from reliable major media sources.
Hundreds of contractors working on a project for Meta were instructed to pose as minors online and probe how competitor chatbots responded to prompts involving suicide, sex, eating disorders, and other high-risk subjects, according to internal documents and five people familiar with the project. The prompts were often designed to push the chatbots toward responses their safety systems were supposed to refuse. A single round of testing completed in August 2025 saw more than 45,000 prompts run through the rival chatbots. The companies behind the chatbots weren’t aware of the testing. Testing competitors’ products is not, by itself, unusual in the artificial intelligence industry. Former contractors who worked on the project described several aspects as alarming. According to one former worker, employees feared the possibility they could be generating or preserving child sexual abuse material if a chatbot responded to certain sexual prompts involving minors. Another says they worried the project amounted to secretly taking material from competitors’ systems to potentially feed back into Meta’s system. While a dataset of thousands of youth-safety prompts could be useful for comparing how often chatbots refuse harmful requests, the scale and opacity of [this project, known internally as] Cannes, along with the lack of disclosure to the companies being tested, made it very different from other public safety benchmarks.
Note: For more along these lines, read our concise summaries of news articles on Big Tech and mental health.
Humanity has officially passed a grim milestone: the first confirmed death at the hands of a fully-autonomous robot weapon. A senior figure involved in the Ukrainian defence industry admitted that a fully autonomous drone deployed to the front lines of the Russo-Ukranian war has claimed human lives. The event has been kept under wraps for two years, Ukrainian drone maker Alexander Kokhanovskyy said. The device itself was a quadcopter drone designed to zip to the front line, loiter around a perimeter for roughly 10 minutes, then launch into “terminator mode.” This mode, the Ukranian drone expert explained, involves the use of an unidentified AI model to automatically seek out and attack human targets. During the operation in question ... it identified and ultimately attacked “a couple of [Russian] soldiers” and “one truck.” “We just launch it and we know everything will be dead,” Kokhanovskyy [said]. “There is no connection to the drone at all ... everything it sees will be killed.” While this marks the first known strike of its kind, it’s fair to say the world’s militaries have been inching toward this for a while. The Israeli Defence Forces, for example, have long deployed loitering suicide drones to hover over various demarcation zones across Palestine. More recently, US military operatives used Anthropic’s Claude to select bombing targets across Iran. If Kokhanovskyy is to be believed, humanity has crossed a threshold that can never be uncrossed.
Note: This is being called AI's "Oppenheimer moment". For more along these lines, read our concise summaries of news articles on war and artificial intelligence.
Jeff Bezos’ Washington Post is facing a scathing new class-action lawsuit accusing it of using surveillance pricing to gouge loyal readers – in a case that attorneys believe could rack up millions in damages. Since the mid-2010s, WaPo has “covertly harvested” subscriber data, using “deeply personal information” to determine how much they could squeeze out of each loyal reader, according to the suit, which was filed Thursday in the Superior Court of the District of Columbia. Readers largely expected their personal data would be used for “mutually beneficial purposes” like “relevant advertisements” – and did not consent to their personal information being used to hike prices on their subscriptions, the suit alleged. After billionaire Bezos bought WaPo in 2013 for $250 million, the paper started heavily investing in technology and digital subscriptions, the suit noted. “The more loyal a reader became, the more data The Post could gather to estimate how much more that person might tolerate paying at renewal,” the complaint said. “Rather than rewarding loyalty, The Post’s system converted subscribers’ engagement into leverage against them.” The suit also alleged WaPo might be collecting extra information from subscribers’ use of “affiliates” – including Amazon, Bezos’ e-commerce giant. Last year, the publication was forced to reveal it was engaging in surveillance pricing techniques because of a 2025 New York disclosure law.
Note: Read more about the rise of AI surveillance pricing. For more along these lines, read our concise summaries of news articles on Big Tech and mass media.
AI is projected to generate nearly unfathomable amounts of revenue. Any mention of AI tends to be accompanied by warnings that deeper jobs cuts across many more industries are coming for us all. Jensen Huang, CEO of chip giant Nvidia, said in 2025: “Every job will be affected, and immediately. It is unquestionable. You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI.” Increasingly, people young and old flock to a new gold rush in Silicon Valley to toil away on AI-fueled startups. If AI’s worst-case scenario for tech jobs plays out ... that’s still nowhere near the apocalyptic future of labor that many fear. “Is it, in fact, going to destroy all of the jobs?” Naidu asked. “I’m not convinced. Even take software. Software is only about 4 to 6% of GDP. So it’s a lot, but it’s not like the whole economy can be replaced by Claude Code.” Convincing people that AI will replace human workers in droves is a clever marketing tactic. Not only does it stoke rabid investor speculation, but it distracts from a more realistic application of AI: to surveil and micromanage employees to squeeze yet more productivity out of them, all the while pressuring them to feel grateful that they have any kind of work. Gig workers, the people who pick you up in Ubers and deliver your food on platforms like DoorDash, have already been the guinea pigs for this kind of algorithmic management, and labor experts predict it will spread.
Note: For more along these lines, read our concise summaries of news articles on AI and media manipulation.
Americans speaking out against artificial intelligence data centers on social media are falling under police surveillance, a confidential law enforcement bulletin ... reveals. A fusion center in Philadelphia combed through spicy internet comments from AI critics and concluded there is a growing risk of physical violence against data centers from “domestic violent extremists,” ranging from white supremacists to anarchists. “Domestic violent extremists (DVEs) are likely interested in targeting artificial intelligence (AI) data centers, posing a physical and cyber threat to infrastructure in the Philadelphia regional area,” the Delaware Valley Intelligence Center wrote in a December alert. The fusion center, housed inside the Philadelphia Police Department, warned that “disruptive First Amendment activity” is an “indicator” of risk from “Domestic Violent Extremists,” an expansive term favored by the FBI and other law enforcement agencies. Longtime Philadelphia civil rights lawyer Paul Hetznecker said he was troubled by the fusion center’s association of AI skeptics with terrorists. “Those are legitimate, popular political concerns that are raised by local communities,” Hetznecker said. “This particular report from [the Delaware Valley Intelligence Center] reflects a very dangerous attempt to characterize that protected First Amendment activity — activity which is fundamental to our democracy — as ... a breeding ground for something more sinister.”
Note: Where does violent extremism really come from? A Human Rights Watch report found that the nearly all of the highest-profile domestic terrorism plots in the US since 9/11 featured the direct involvement of government agents or informants. Meanwhile, the term terrorism has expanded to include any activist group across the spectrum not in favor of the political establishment. For more, read our Substack, "A History of Militarized Policing in the US and the Suppression of Dissent Across the Political Spectrum."
Some of the largest data-collecting companies in the United States—including major AI vendors, data brokers, defense contractors, and dating apps—rely on deceptive methods to keep consumers from opting out of the sale and sharing of their personal information. Researchers at [the Electronic Privacy Information Center] audited the opt-out processes of 38 major data companies and documented at least eight distinct categories of manipulative design: Opt-out forms that don't actually let users opt out of the sale of their data. Links that are buried in fine print and missing from homepages. Consumers routed through multiple separate forms to complete a single request. And requirements that users create accounts or pay for subscriptions before opting out at all, among others. Major companies offering large language models, such as Google, Meta, and OpenAI, fail to clearly link their opt-out forms from their homepages or privacy policies, according to the report, and several require consumers to submit multiple separate forms to complete a single request. OpenAI's form, when a consumer finds it, does not offer a way to opt out of the sale or transfer of personal data. What it offers instead is an option to “remove personal information from ChatGPT responses,” which EPIC says is a filter on the chatbot's output, not the removal of any underlying data. Researchers found that the people-search brokers they audited—Spokeo, Whitepages, and National Public Data—do not offer consumers a way to opt out of the sale or transfer of their data at all. Instead, the companies offer a process for removing individual listings by URL, one at a time, with no commitment to stop selling that same person's information in the future.
Note: The owner of a data broker company once bragged about having highly detailed personal information on nearly all internet users. For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
A small group of experts [were] enlisted by A.I. companies to vet their products for catastrophic risks. Some have shared with The Times more than a dozen chatbot conversations revealing that even publicly available models can do more than disseminate dangerous information. The virtual assistants have described in lucid, bullet-pointed detail how to buy raw genetic material, turn it into deadly weapons and deploy them in public spaces, the transcripts show. The U.S. government has long planned for powerful adversaries unleashing deadly bacteria, viruses or toxins in the American population. Since 1970, there have been a few dozen, fairly small biological attacks around the world, such as the anthrax-laced letters that killed five Americans in 2001. Despite perennial warnings, a major catastrophe has not happened and remains unlikely, most experts say. But even if the probability is low, an effective biological weapon could have an enormous impact. Dozens of experts told The Times that A.I. is one of several recent technological advances that have meaningfully increased that risk by expanding the pool of people who could cause harm. Still, A.I. users would need some real-world expertise to follow a bot’s instructions. Some research, including a study backed by A.I. companies, has found that while chatbots can help novices learn certain lab skills, the technology isn’t particularly helpful for carrying out the range of complex tasks needed to make a virus from scratch.
Note: For more along these lines, read our concise summaries of news articles on AI, biotech dangers, and science corruption.
Your neighbors’ Ring cameras film your walk to the car. Your car’s sensors, cameras and microphones record your speed, how you drive, where you’re going, who’s with you, what you say, and biological metrics such as facial expression, weight and heart rate. Your car may also collect text messages and contacts from your connected smartphone. Meanwhile, your phone continuously senses and records your communications, info about your health, what apps you’re using, and tracks your location. As you enter [a] store, its surveillance cameras identify your face and track your movements through the aisles. If you then use Apple or Google Pay to make your purchase, your phone tracks what you bought and how much you paid. All this data quickly becomes commercially available, bought and sold by data brokers. Aggregated and analyzed by artificial intelligence, the data reveals detailed, sensitive information about you that can be used to predict and manipulate your behavior, including what you buy, feel, think and do. Companies unilaterally collect data from most of your activities. This “surveillance capitalism” is often unrelated to the services device manufacturers, apps and stores are providing you. The U.S. government ... now purchases massive quantities of your information from commercial data brokers. Disclosure of documents allegedly hacked from Homeland Security reveal a massive surveillance web that has all Americans in its scope.
Note: For more along these lines, read our concise summaries of news articles on AI and the disappearance of privacy.
[Veteran journalist Katrina Manson's] new book, “Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare,” is an ... account of the ongoing reconfiguration of the U.S. armed forces for a new technological era. “Project Maven” is structured as an intellectual and professional biography of Drew Cukor, a Marine Corps intelligence officer largely responsible for ... this military transformation. Cukor insists that Maven was never supposed to be a weapon. He frequently defends the project as nothing more than an integrated data platform ... for a world made better and safer by A.I. warfare. In 2018, Google employees staged a massive walkout to protest the company’s work on a primitive iteration of the project. In the aftermath of the Google fiasco, Cukor turns to Palantir (in addition to Microsoft and Amazon) to make Maven a reality. NATO now has its own Maven contract with Palantir, and that prompted ten member nations to pursue one, too. The Maven Smart System has become a global surveillance apparatus—it can keep track of forty-nine thousand airfields all over the world—but its current work is hardly limited to intelligence provision and analysis. A “single click,” [journalist Katrina] Manson reports, “could send coordinates through a tactical data link to a specific weapons platform so that it could fire at the target.” The entire process, from target identification to target destruction, is four clicks. Officials told Manson that Maven was “accelerating operations and ‘enabling lethality’ at combat headquarters around the world.” Maven is only one part of the A.I. tool kit. Manson uncovers evidence of two clandestine killer-robot programs, one aerial and the other aquatic, which are being developed in haste. For the first time, the Pentagon’s proposed budget contained a line item for comprehensively self-directing systems. A machine can shoot, Manson reports, up to “ten times faster than an assassin.”
Note: For more, read our concise summaries of news articles on AI and military corruption.
One of the most intriguing secrets of Operation Epic Fury is how, using an “exquisite” piece of classified technology, the CIA succeeded in finding the injured airman in Iran by detecting his heartbeat, the tiniest evidence of human life concealed in a narrow crevice up a 7,000ft mountain ridge. The technology that led to the airman’s rescue by Seal Team Six commandos has been outed as a CIA “tool” called Ghost Murmur. It was reportedly developed as a highly classified “blue skies” invention by Lockheed Martin’s Skunk Works, the famous laboratory where young, brilliant scientists and engineers devote their time to finding solutions to impossible concepts. John Ratcliffe, the CIA director, hinted at the new technology in a press conference this week. “We deployed both human assets and exquisite technologies that no other intelligence service in the world possess to a daunting challenge, comparable to hunting for a single grain of sand in the middle of a desert,” Ratcliffe said. On the face of it, a futuristic magnetic sensing device ... pinpointed the missing colonel’s heartbeat across a 40-mile stretch of land. Ghost Murmur, as described, would appear to push the boundaries of physics beyond even the most exceptional human brain or computer. Intelligence sources would not confirm or deny the existence of Ghost Murmur. But reportedly the “CIA tool” relies on what is called quantum magnetometry, which can find signals of human hearts, aided by artificial intelligence to separate out all the other noises getting in the way.
Note: While it's unclear whether the Ghost Murmur tool was actually responsible for rescuing the injured soldier, this technology is not out of the realm of possibility. Since the 1960s, the CIA had already developed poison weapons capable of causing heart attacks remotely. Learn more about real-life exotic weapon technologies used by militaries around the world. For more along these lines, read our concise summaries of news articles on AI and intelligence agency corruption.
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