AI News Stories
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.
In 2021, parents in South Africa with children between the ages of 5 and 13 were offered an unusual deal. For every photo of their child’s face, a London-based artificial intelligence firm would donate 20 South African rands, about $1, to their children’s school as part of a campaign called “Share to Protect.” With promises of protecting children, a little-known group of companies in an experimental corner of the tech industry known as “age assurance” has begun engaging in a massive collection of faces, opening the door to privacy risks for anyone who uses the web. The companies say their age-check tools could give parents ... peace of mind. But by scanning tens of millions of faces a year, the tools could also subject children — and everyone else — to a level of inspection rarely seen on the open internet and boost the chances their personal data could be hacked, leaked or misused. Nineteen states, home to almost 140 million Americans, have passed or enacted laws requiring online age checks since the beginning of last year, including Virginia, Texas and Florida. For the companies, that’s created a gold mine. But ... Alex Stamos, the former security chief of Facebook, which uses Yoti, said “most age verification systems range from ‘somewhat privacy violating’ to ‘authoritarian nightmare.'” Some also fear that lawmakers could use the tools to bar teens from content they dislike, including First Amendment-protected speech.
Note: Learn about Proctorio, an AI surveillance anti-cheating software used in schools to monitor children through webcams—conducting "desk scans," "face detection," and "gaze detection" to flag potential cheating and to spot anybody “looking away from the screen for an extended period of time." For more along these lines, see concise summaries of deeply revealing news articles on AI and the disappearance of privacy from reliable major media sources.
The eruption of racist violence in England and Northern Ireland raises urgent questions about the responsibilities of social media companies, and how the police use facial recognition technology. While social media isn’t the root of these riots, it has allowed inflammatory content to spread like wildfire and helped rioters coordinate. The great elephant in the room is the wealth, power and arrogance of the big tech emperors. Silicon Valley billionaires are richer than many countries. That mature modern states should allow them unfettered freedom to regulate the content they monetise is a gross abdication of duty, given their vast financial interest in monetising insecurity and division. In recent years, [facial recognition] has been used on our streets without any significant public debate. We wouldn’t dream of allowing telephone taps, DNA retention or even stop and search and arrest powers to be so unregulated by the law, yet this is precisely what has happened with facial recognition. Our facial images are gathered en masse via CCTV cameras, the passport database and the internet. At no point were we asked about this. Individual police forces have entered into direct contracts with private companies of their choosing, making opaque arrangements to trade our highly sensitive personal data with private companies that use it to develop proprietary technology. There is no specific law governing how the police, or private companies ... are authorised to use this technology. Experts at Big Brother Watch believe the inaccuracy rate for live facial recognition since the police began using it is around 74%, and there are many cases pending about false positive IDs.
Note: Many US states are not required to reveal that they used face recognition technology to identify suspects, even though misidentification is a common occurrence. For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
Texas Attorney General Ken Paxton has won a $1.4 billion settlement from Facebook parent Meta over charges that it captured users' facial and biometric data without properly informing them it was doing so. Paxton said that starting in 2011, Meta, then known as Facebook, rolled out a “tag” feature that involved software that learned how to recognize and sort faces in photos. In doing so, it automatically turned on the feature without explaining how it worked, Paxton said — something that violated a 2009 state statute governing the use of biometric data, as well as running afoul of the state's deceptive trade practices act. "Unbeknownst to most Texans, for more than a decade Meta ran facial recognition software on virtually every face contained in the photographs uploaded to Facebook, capturing records of the facial geometry of the people depicted," he said in a statement. As part of the settlement, Meta did not admit to wrongdoing. Facebook discontinued how it had previously used face-recognition technology in 2021, in the process deleting the face-scan data of more than one billion users. The settlement amount, which Paxton said is the largest ever obtained by a single state against a business, will be paid out over five years. “This historic settlement demonstrates our commitment to standing up to the world’s biggest technology companies and holding them accountable for breaking the law and violating Texans’ privacy rights," Paxton said.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
Google announced this week that it would begin the international rollout of its new artificial intelligence-powered search feature, called AI Overviews. When billions of people search a range of topics from news to recipes to general knowledge questions, what they see first will now be an AI-generated summary. While Google was once mostly a portal to reach other parts of the internet, it has spent years consolidating content and services to make itself into the web’s primary destination. Weather, flights, sports scores, stock prices, language translation, showtimes and a host of other information have gradually been incorporated into Google’s search page over the past 15 or so years. Finding that information no longer requires clicking through to another website. With AI Overviews, the rest of the internet may meet the same fate. Google has tried to assuage publishers’ fears that users will no longer see their links or click through to their sites. Research firm Gartner predicts a 25% drop in traffic to websites from search engines by 2026 – a decrease that would be disastrous for most outlets and creators. What’s left for publishers is largely direct visits to their own home pages and Google referrals. If AI Overviews take away a significant portion of the latter, it could mean less original reporting, fewer creators publishing cooking blogs or how-to guides, and a less diverse range of information sources.
Note: WantToKnow.info traffic from Google search has fallen sharply as Google has stopped indexing most websites. These new AI summaries make independent media sites even harder to find. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Liquid capital, growing market dominance, slick ads, and fawning media made it easy for giants like Google, Microsoft, Apple, and Amazon to expand their footprint and grow their bottom lines. Yet ... these companies got lazy, entitled, and demanding. They started to care less about the foundations of their business — like having happy customers and stable products — and more about making themselves feel better by reinforcing their monopolies. Big Tech has decided the way to keep customers isn't to compete or provide them with a better service but instead make it hard to leave, trick customers into buying things, or eradicate competition so that it can make things as profitable as possible, even if the experience is worse. After two decades of consistent internal innovation, Big Tech got addicted to acquisitions in the 2010s: Apple bought Siri; Meta bought WhatsApp, Instagram, and Oculus; Amazon bought Twitch; Google bought Nest and Motorola's entire mobility division. Over time, the acquisitions made it impossible for these companies to focus on delivering the features we needed. Google, Meta, Amazon, and Apple are simply no longer forces for innovation. Generative AI is the biggest, dumbest attempt that tech has ever made to escape the fallout of building companies by acquiring other companies, taking their eyes off actually inventing things, and ignoring the most important part of their world: the customer.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech from reliable major media sources.
My insurance broker left a frantic voicemail telling me that my homeowner's insurance had lapsed. When I finally reached my insurance broker, he told me the reason Travelers revoked my policy: AI-powered drone surveillance. My finances were imperiled, it seemed, by a bad piece of code. As my broker revealed, the ominous threat that canceled my insurance was nothing more than moss. Travelers not only uses aerial photography and AI to monitor its customers' roofs, but also wrote patents on the technology — nearly 50 patents actually. And it may not be the only insurer spying from the skies. No one can use AI to know the future; you're training the technology to make guesses based on changes in roof color and grainy aerial images. But even the best AI models will get a lot of predictions wrong, especially at scale and particularly where you're trying to make guesses about the future of radically different roof designs across countless buildings in various environments. For the insurance companies designing the algorithms, that means a lot of questions about when to put a thumb on the scale in favor of, or against, the homeowner. And insurance companies will have huge incentives to choose against the homeowner every time. When Travelers flew a drone over my house, I never knew. When it decided I was too much of a risk, I had no way of knowing why or how. As more and more companies use more and more opaque forms of AI to decide the course of our lives, we're all at risk.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and the disappearance of privacy from reliable major media sources.
The National Science Foundation spent millions of taxpayer dollars developing censorship tools powered by artificial intelligence that Big Tech could use “to counter misinformation online” and “advance state-of-the-art misinformation research.” House investigators on the Judiciary Committee and Select Committee on the Weaponization of Government said the NSF awarded nearly $40 million ... to develop AI tools that could censor information far faster and at a much greater scale than human beings. The University of Michigan, for instance, was awarded $750,000 from NSF to develop its WiseDex artificial intelligence tool to help Big Tech outsource the “responsibility of censorship” on social media. The release of [an] interim report follows new revelations that the Biden White House pressured Amazon to censor books about the COVID-19 vaccine and comes months after court documents revealed White House officials leaned on Twitter, Facebook, YouTube and other sites to remove posts and ban users whose content they opposed, even threatening the social media platforms with federal action. House investigators say the NSF project is potentially more dangerous because of the scale and speed of censorship that artificial intelligence could enable. “AI-driven tools can monitor online speech at a scale that would far outmatch even the largest team of ’disinformation’ bureaucrats and researchers,” House investigators wrote in the interim report.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and censorship from reliable sources.
Once upon a time ... Google was truly great. A couple of lads at Stanford University in California had the idea to build a search engine that would crawl the world wide web, create an index of all the sites on it and rank them by the number of inbound links each had from other sites. The arrival of ChatGPT and its ilk ... disrupts search behaviour. Google’s mission – “to organise the world’s information and make it universally accessible” – looks like a much more formidable task in a world in which AI can generate infinite amounts of humanlike content. Vincent Schmalbach, a respected search engine optimisation (SEO) expert, thinks that Google has decided that it can no longer aspire to index all the world’s information. That mission has been abandoned. “Google is no longer trying to index the entire web,” writes Schmalbach. “In fact, it’s become extremely selective, refusing to index most content. This isn’t about content creators failing to meet some arbitrary standard of quality. Rather, it’s a fundamental change in how Google approaches its role as a search engine.” The default setting from now on will be not to index content unless it is genuinely unique, authoritative and has “brand recognition”. “They might index content they perceive as truly unique,” says Schmalbach. “But if you write about a topic that Google considers even remotely addressed elsewhere, they likely won’t index it. This can happen even if you’re a well-respected writer with a substantial readership.”
Note: WantToKnow.info and other independent media websites are disappearing from Google search results because of this. For more along these lines, see concise summaries of deeply revealing news articles on AI and censorship from reliable sources.
Google and a few other search engines are the portal through which several billion people navigate the internet. Many of the world’s most powerful tech companies, including Google, Microsoft, and OpenAI, have recently spotted an opportunity to remake that gateway with generative AI, and they are racing to seize it. Nearly two years after the arrival of ChatGPT, and with users growing aware that many generative-AI products have effectively been built on stolen information, tech companies are trying to play nice with the media outlets that supply the content these machines need. The start-up Perplexity ... announced revenue-sharing deals with Time, Fortune, and several other publishers. These publishers will be compensated when Perplexity earns ad revenue from AI-generated answers that cite partner content. The site does not currently run ads, but will begin doing so in the form of sponsored “related follow-up questions.” OpenAI has been building its own roster of media partners, including News Corp, Vox Media, and The Atlantic. Google has purchased the rights to use Reddit content to train future AI models, and ... appears to be the only major search engine that Reddit is permitting to surface its content. The default was once that you would directly consume work by another person; now an AI may chew and regurgitate it first, then determine what you see based on its opaque underlying algorithm. Many of the human readers whom media outlets currently show ads and sell subscriptions to will have less reason to ever visit publishers’ websites. Whether OpenAI, Perplexity, Google, or someone else wins the AI search war might not depend entirely on their software: Media partners are an important part of the equation. AI search will send less traffic to media websites than traditional search engines. The growing number of AI-media deals, then, are a shakedown. AI is scraping publishers’ content whether they want it to or not: Media companies can be chumps or get paid.
Note: The AI search war has nothing to do with journalists and content creators getting paid and acknowledged for their work. It’s all about big companies doing deals with each other to control our information environment and capture more consumer spending. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable sources.
Amazon has been accused of using “intrusive algorithms” as part of a sweeping surveillance program to monitor and deter union organizing activities. Workers at a warehouse run by the technology giant on the outskirts of St Louis, Missouri, are today filing an unfair labor practice charge with the National Labor Relations Board (NLRB). A copy of the charge ... alleges that Amazon has “maintained intrusive algorithms and other workplace controls and surveillance which interfere with Section 7 rights of employees to engage in protected concerted activity”. There have been several reports of Amazon surveilling workers over union organizing and activism, including human resources monitoring employee message boards, software to track union threats and job listings for intelligence analysts to monitor “labor organizing threats”. Artificial intelligence can be used by warehouse employers like Amazon “to essentially have 24/7 unregulated and algorithmically processed and recorded video, and often audio data of what their workers are doing all the time”, said Seema N Patel ... at Stanford Law School. “It enables employers to control, record, monitor and use that data to discipline hundreds of thousands of workers in a way that no human manager or group of managers could even do.” The National Labor Relations Board issued a memo in 2022 announcing its intent to protect workers from AI-enabled monitoring of labor organizing activities.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
On July 16, the S&P 500 index, one of the most widely cited benchmarks in American capitalism, reached its highest-ever market value: $47 trillion. 1.4 percent of those companies were worth more than $16 trillion, the greatest concentration of capital in the smallest number of companies in the history of the U.S. stock market. The names are familiar: Microsoft, Apple, Amazon, Nvidia, Meta, Alphabet, and Tesla. All of them, too, have made giant bets on artificial intelligence. For all their similarities, these trillion-dollar-plus companies have been grouped together under a single banner: the Magnificent Seven. In the past month, though, these giants of the U.S. economy have been faltering. A recent rout led to a collapse of $2.6 trillion in their market value. Earlier this year, Goldman Sachs issued a deeply skeptical report on the industry, calling it too expensive, too clunky, and just simply not as useful as it has been chalked up to be. “There’s not a single thing that this is being used for that’s cost-effective at this point,” Jim Covello, an influential Goldman analyst, said on a company podcast. AI is not going away, and it will surely become more sophisticated. This explains why, even with the tempering of the AI-investment thesis, these companies are still absolutely massive. When you talk with Silicon Valley CEOs, they love to roll their eyes at their East Coast skeptics. Banks, especially, are too cautious, too concerned with short-term goals, too myopic to imagine another world.
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 Ukrainian military has used AI-equipped drones mounted with explosives to fly into battlefields and strike at Russian oil refineries. American AI systems identified targets in Syria and Yemen for airstrikes earlier this year. The Israel Defense Forces used another kind of AI-enabled targeting system to label as many as 37,000 Palestinians as suspected militants during the first weeks of its war in Gaza. Growing conflicts around the world have acted as both accelerant and testing ground for AI warfare while making it even more evident how unregulated the nascent field is. The result is a multibillion-dollar AI arms race that is drawing in Silicon Valley giants and states around the world. Altogether, the US military has more than 800 active AI-related projects and requested $1.8bn worth of funding for AI in the 2024 budget alone. Many of these companies and technologies are able to operate with extremely little transparency and accountability. Defense contractors are generally protected from liability when their products accidentally do not work as intended, even when the results are deadly. The Pentagon plans to spend $1bn by 2025 on its Replicator Initiative, which aims to develop swarms of unmanned combat drones that will use artificial intelligence to seek out threats. The air force wants to allocate around $6bn over the next five years to research and development of unmanned collaborative combat aircraft, seeking to build a fleet of 1,000 AI-enabled fighter jets that can fly autonomously. The Department of Defense has also secured hundreds of millions of dollars in recent years to fund its secretive AI initiative known as Project Maven, a venture focused on technologies like automated target recognition and surveillance.
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.
Recall ... takes constant screenshots in the background while you go about your daily computer business. Microsoft’s Copilot+ machine-learning tech then scans (and “reads”) each of these screenshots in order to make a searchable database of every action performed on your computer and then stores it on the machine’s disk. “Recall is like bestowing a photographic memory on everyone who buys a Copilot+ PC,” [Microsoft marketing officer Yusuf] Mehdi said. “Anything you’ve ever seen or done, you’ll now more or less be able to find.” Charlie Stross, the sci-fi author and tech critic, called it a privacy “shit-show for any organisation that handles medical records or has a duty of legal confidentiality.” He also said: “Suddenly, every PC becomes a target for discovery during legal proceedings. Lawyers can subpoena your Recall database and search it, no longer being limited to email but being able to search for terms that came up in Teams or Slack or Signal messages, and potentially verbally via Zoom or Skype if speech-to-text is included in Recall data.” Faced with this pushback, Microsoft [announced] that Recall would be made opt-in instead of on by default, and also introducing extra security precautions – only producing results from Recall after user authentication, for example, and never decrypting data stored by the tool until after a search query. The only good news for Microsoft here is that it seems to have belatedly acknowledged that Recall has been a fiasco.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
A growing number of supermarkets in Alabama, Oklahoma, and Texas are selling bullets by way of AI-powered vending machines, as first reported by Alabama's Tuscaloosa Thread. The company behind the machines, a Texas-based venture dubbed American Rounds, claims on its website that its dystopian bullet kiosks are outfitted with "built-in AI technology" and "facial recognition software," which allegedly allow the devices to "meticulously verify the identity and age of each buyer." As showcased in a promotional video, using one is an astoundingly simple process: walk up to the kiosk, provide identification, and let a camera scan your face. If its embedded facial recognition tech says you are in fact who you say you are, the automated machine coughs up some bullets. According to American Rounds, the main objective is convenience. Its machines are accessible "24/7," its website reads, "ensuring that you can buy ammunition on your own schedule, free from the constraints of store hours and long lines." Though officials in Tuscaloosa, where two machines have been installed, [said] that the devices are in full compliance with the Bureau of Alcohol, Tobacco, Firearms and Explosives' standards ... at least one of the devices has been taken down amid a Tuscaloosa city council investigation into its legal standing. "We have over 200 store requests for AARM [Automated Ammo Retail Machine] units covering approximately nine states currently," [American Rounds CEO Grant Magers] told Newsweek, "and that number is growing daily."
Note: Facial recognition technology is far from reliable. For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence from reliable major media sources.
Twenty years ago, FedEx established its own police force. Now it's working with local police to build out an AI car surveillance network. The shipping and business services company is using AI tools made by Flock Safety, a $4 billion car surveillance startup, to monitor its distribution and cargo facilities across the United States. As part of the deal, FedEx is providing its Flock surveillance feeds to law enforcement, an arrangement that Flock has with at least four multi-billion dollar private companies. Some local police departments are also sharing their Flock feeds with FedEx — a rare instance of a private company availing itself of a police surveillance apparatus. Such close collaboration has the potential to dramatically expand Flock’s car surveillance network, which already spans 4,000 cities across over 40 states and some 40,000 cameras that track vehicles by license plate, make, model, color and other identifying characteristics, like dents or bumper stickers. Jay Stanley ... at the American Civil Liberties Union, said it was “profoundly disconcerting” that FedEx was exchanging data with law enforcement as part of Flock’s “mass surveillance” system. “It raises questions about why a private company ... would have privileged access to data that normally is only available to law enforcement,” he said. Forbes previously found that [Flock] had itself likely broken the law across various states by installing cameras without the right permits.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and the disappearance of privacy from reliable major media sources.
Once upon a time, Google was great. They intensively monitored what people searched for, and then used that information continually to improve the engine’s performance. Their big idea was that the information thus derived had a commercial value; it indicated what people were interested in and might therefore be of value to advertisers who wanted to sell them stuff. Thus was born what Shoshana Zuboff christened “surveillance capitalism”, the dominant money machine of the networked world. The launch of generative AIs such as ChatGPT clearly took Google by surprise, which is odd given that the company had for years been working on the technology. The question became: how will Google respond to the threat? Now we know: it’s something called AI overviews, in which an increasing number of search queries are initially answered by AI-generated responses. Users have been told that glue is useful for ensuring that cheese sticks to pizza, that they could stare at the sun for for up to 30 minutes, and that geologists suggest eating one rock per day. There’s a quaint air of desperation in the publicity for this sudden pivot from search engine to answerbot. The really big question about the pivot, though, is what its systemic impact on the link economy will be. Already, the news is not great. Gartner, a market-research consultancy, for example, predicts that search engine volume will drop 25% by 2026 owing to AI chatbots and other virtual agents.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Venture capital and military startup firms in Silicon Valley have begun aggressively selling a version of automated warfare that will deeply incorporate artificial intelligence (AI). This surge of support for emerging military technologies is driven by the ultimate rationale of the military-industrial complex: vast sums of money to be made. Untold billions of dollars of private money now pouring into firms seeking to expand the frontiers of techno-war. According to the New York Times, $125 billion over the past four years. Whatever the numbers, the tech sector and its financial backers sense that there are massive amounts of money to be made in next-generation weaponry and aren’t about to let anyone stand in their way. Meanwhile, an investigation by Eric Lipton of the New York Times found that venture capitalists and startup firms already pushing the pace on AI-driven warfare are also busily hiring ex-military and Pentagon officials to do their bidding. Former Google CEO Eric Schmidt [has] become a virtual philosopher king when it comes to how new technology will reshape society. [Schmidt] laid out his views in a 2021 book modestly entitled The Age of AI and Our Human Future, coauthored with none other than the late Henry Kissinger. Schmidt is aware of the potential perils of AI, but he’s also at the center of efforts to promote its military applications. AI is coming, and its impact on our lives, whether in war or peace, is likely to stagger the imagination.
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.
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.
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.
The center of the U.S. military-industrial complex has been shifting over the past decade from the Washington, D.C. metropolitan area to Northern California—a shift that is accelerating with the rise of artificial intelligence-based systems, according to a report published Wednesday. "Although much of the Pentagon's $886 billion budget is spent on conventional weapon systems and goes to well-established defense giants such as Lockheed Martin, RTX, Northrop Grumman, General Dynamics, Boeing, and BAE Systems, a new political economy is emerging, driven by the imperatives of big tech companies, venture capital (VC), and private equity firms," [report author Roberto J.] González wrote. "Defense Department officials have ... awarded large multibillion-dollar contracts to Microsoft, Amazon, Google, and Oracle." González found that the five largest military contracts to major tech firms between 2018 and 2022 "had contract ceilings totaling at least $53 billion combined." There's also the danger of a "revolving door" between Silicon Valley and the Pentagon as many senior government officials "are now gravitating towards defense-related VC or private equity firms as executives or advisers after they retire from public service." "Members of the armed services and civilians are in danger of being harmed by inadequately tested—or algorithmically flawed—AI-enabled technologies. By nature, VC firms seek rapid returns on investment by quickly bringing a product to market, and then 'cashing out' by either selling the startup or going public. This means that VC-funded defense tech companies are under pressure to produce prototypes quickly and then move to production before adequate testing has occurred."
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 military corruption from reliable major media sources.
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