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.
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.
As school shootings proliferate across the country — there were 46 school shootings in 2022, more than in any year since at least 1999 — educators are increasingly turning to dodgy vendors who market misleading and ineffective technology. Utica City is one of dozens of school districts nationwide that have spent millions on gun detection technology with little to no track record of preventing or stopping violence. Evolv’s scanners keep popping up in schools across the country. Over 65 school districts have bought or tested artificial intelligence gun detection from a variety of companies since 2018, spending a total of over $45 million, much of it coming from public coffers. “Private companies are preying on school districts’ worst fears and proposing the use of technology that’s not going to work,” said Stefanie Coyle ... at the New York Civil Liberties Union. In December, it came out that Evolv, a publicly traded company since 2021, had doctored the results of their software testing. In 2022, the National Center for Spectator Sports Safety and Security, a government body, completed a confidential report showing that previous field tests on the scanners failed to detect knives and a handgun. Five law firms recently announced investigations of Evolv Technology — a partner of Motorola Solutions whose investors include Bill Gates — looking into possible violations of securities law, including claims that Evolv misrepresented its technology and its capabilities to it.
Note: For more along these lines, see concise summaries of deeply revealing news articles on government corruption from reliable major media sources.
In Silicon Valley, AI tech giants are in a bidding war, competing to hire the best and brightest computer programmers. But a different hiring spree is underway in D.C. AI firms are on an influence-peddling spree, hiring hundreds of former government officials and retaining former members of Congress as consultants and lobbyists. The latest disclosure filings show over 500 entities lobbying on AI policy—from federal rules designed to preempt state and local safety regulations to water and energy-intensive data centers and integration into government contracting and certifications. Lawmakers are increasingly making the jump from serving constituents as elected officials to working directly as influence peddlers for AI interests. Former Sen. Laphonza Butler, D-Calif., a former lobbyist appointed to the U.S. Senate to fill the seat of Sen. Dianne Feinstein, left Congress last year and returned to her former profession. She is now working as a consultant to OpenAI, the firm behind ChatGPT. Former Sen. Richard Burr, R-N.C., recently registered for the first time as a lobbyist. Among his initial clients is Lazarus AI, which sells AI products to the Defense Department. The expanding reach of artificial intelligence is rapidly reshaping hundreds of professions, weapons of war, and the ways we connect with one another. What's clear is that the AI firms set to benefit most from these changes are taking control of the policymaking apparatus to write the laws and regulations during the transition.
Note: For more, read our concise summaries of news articles on AI and Big Tech.
From facial recognition to predictive analytics to the rise of increasingly convincing deepfakes and other synthetic video, new technologies are emerging faster than agencies, lawmakers, or watchdog groups can keep up. Take New Orleans, where, for the past two years, police officers have quietly received real-time alerts from a private network of AI-equipped cameras, flagging the whereabouts of people on wanted lists. In 2022, City Council members attempted to put guardrails on the use of facial recognition. But those guidelines assume it's the police doing the searching. New Orleans police have hundreds of cameras, but the alerts in question came from a separate system: a network of 200 cameras equipped with facial recognition and installed by residents and businesses on private property, feeding video to a nonprofit called Project NOLA. Police officers who downloaded the group's app then received notifications when someone on a wanted list was detected on the camera network, along with a location. That has civil liberties groups and defense attorneys in Louisiana frustrated. “When you make this a private entity, all those guardrails that are supposed to be in place for law enforcement and prosecution are no longer there, and we don’t have the tools to ... hold people accountable,” Danny Engelberg, New Orleans’ chief public defender, [said]. Another way departments can skirt facial recognition rules is to use AI analysis that doesn’t technically rely on faces.
Note: Learn about all the high-tech tools police use to surveil protestors. For more along these lines, read our concise summaries of news articles on AI and police corruption.
Mitigating the risk of extinction from AI should be a global priority. However, as many AI ethicists warn, this blinkered focus on the existential future threat to humanity posed by a malevolent AI ... has often served to obfuscate the myriad more immediate dangers posed by emerging AI technologies. These “lesser-order” AI risks ... include pervasive regimes of omnipresent AI surveillance and panopticon-like biometric disciplinary control; the algorithmic replication of existing racial, gender, and other systemic biases at scale ... and mass deskilling waves that upend job markets, ushering in an age monopolized by a handful of techno-oligarchs. Killer robots have become a twenty-first-century reality, from gun-toting robotic dogs to swarms of autonomous unmanned drones, changing the face of warfare from Ukraine to Gaza. Palestinian civilians have frequently spoken about the paralyzing psychological trauma of hearing the “zanzana” — the ominous, incessant, unsettling, high-pitched buzzing of drones loitering above. Over a decade ago, children in Waziristan, a region of Pakistan’s tribal belt bordering Afghanistan, experienced a similar debilitating dread of US Predator drones that manifested as a fear of blue skies. “I no longer love blue skies. In fact, I now prefer gray skies. The drones do not fly when the skies are gray,” stated thirteen-year-old Zubair in his testimony before Congress in 2013.
Note: For more along these lines, read our concise summaries of news articles on AI and military corruption.
With the misinformation category being weaponized across the political spectrum, we took a look at how invested government has become in studying and “combatting” it using your tax dollars. That research can provide the intellectual ammunition to censor people online. Since 2021, the Biden-Harris administration has spent $267 million on research grants with the term “misinformation” in the proposal. Of course, the Covid pandemic was the driving force behind so much of the misinformation debate. There is robust documentation by now proving that the Biden-Harris administration worked closely with social media companies to censor content deemed “misinformation,” which often included cases where people simply questioned or disagreed with the Administration’s COVID policies. In February the U.S. House Committee on the Judiciary and the Select Subcommittee on the Weaponization of the Federal Government issued a scathing report against the National Science Foundation (NSF) for funding grants supporting tools and processes that censor online speech. The report said, “the purpose of these taxpayer-funded projects is to develop artificial intelligence (AI)-powered censorship and propaganda tools that can be used by governments and Big Tech to shape public opinion by restricting certain viewpoints or promoting others.” $13 million was spent on the censorious technologies profiled in the report.
Note: Read the full article on Substack to uncover all the misinformation contracts with government agencies, universities, nonprofits, and defense contractors. For more along these lines, read our concise summaries of news articles on censorship and government corruption.
Before the digital age, law enforcement would conduct surveillance through methods like wiretapping phone lines or infiltrating an organization. Now, police surveillance can reach into the most granular aspects of our lives during everyday activities, without our consent or knowledge — and without a warrant. Technology like automated license plate readers, drones, facial recognition, and social media monitoring added a uniquely dangerous element to the surveillance that comes with physical intimidation of law enforcement. With greater technological power in the hands of police, surveillance technology is crossing into a variety of new and alarming contexts. Law enforcement partnerships with companies like Clearview AI, which scraped billions of images from the internet for their facial recognition database ... has been used by law enforcement agencies across the country, including within the federal government. When the social networking app on your phone can give police details about where you’ve been and who you’re connected to, or your browsing history can provide law enforcement with insight into your most closely held thoughts, the risks of self-censorship are great. When artificial intelligence tools or facial recognition technology can piece together your life in a way that was previously impossible, it gives the ones with the keys to those tools enormous power to ... maintain a repressive status quo.
Note: Facial recognition technology has played a role in the wrongful arrests of many innocent people. For more along these lines, explore concise summaries of revealing news articles on police corruption and the disappearance of privacy.
Tech companies have outfitted classrooms across the U.S. with devices and technologies that allow for constant surveillance and data gathering. Firms such as Gaggle, Securly and Bark (to name a few) now collect data from tens of thousands of K-12 students. They are not required to disclose how they use that data, or guarantee its safety from hackers. In their new book, Surveillance Education: Navigating the Conspicuous Absence of Privacy in Schools, Nolan Higdon and Allison Butler show how all-encompassing surveillance is now all too real, and everything from basic privacy rights to educational quality is at stake. The tech industry has done a great job of convincing us that their platforms — like social media and email — are “free.” But the truth is, they come at a cost: our privacy. These companies make money from our data, and all the content and information we share online is basically unpaid labor. So, when the COVID-19 lockdowns hit, a lot of people just assumed that using Zoom, Canvas and Moodle for online learning was a “free” alternative to in-person classes. In reality, we were giving up even more of our labor and privacy to an industry that ended up making record profits. Your data can be used against you ... or taken out of context, such as sarcasm being used to deny you a job or admission to a school. Data breaches happen all the time, which could lead to identity theft or other personal information becoming public.
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 Big Tech and the disappearance of privacy from reliable major media sources.
Ford Motor Company is just one of many automakers advancing technology that weaponizes cars for mass surveillance. The ... company is currently pursuing a patent for technology that would allow vehicles to monitor the speed of nearby cars, capture images, and transmit data to law enforcement agencies. This would effectively turn vehicles into mobile surveillance units, sharing detailed information with both police and insurance companies. Ford's initiative is part of a broader trend among car manufacturers, where vehicles are increasingly used to spy on drivers and harvest data. In today's world, a smartphone can produce up to 3 gigabytes of data per hour, but recently manufactured cars can churn out up to 25 gigabytes per hour—and the cars of the future will generate even more. These vehicles now gather biometric data such as voice, iris, retina, and fingerprint recognition. In 2022, Hyundai patented eye-scanning technology to replace car keys. This data isn't just stored locally; much of it is uploaded to the cloud, a system that has proven time and again to be incredibly vulnerable. Toyota recently announced that a significant amount of customer information was stolen and posted on a popular hacking site. Imagine a scenario where hackers gain control of your car. As cybersecurity threats become more advanced, the possibility of a widespread attack is not far-fetched.
Note: FedEx is helping the police build a large AI surveillance network to track people and vehicles. Michael Hastings, a journalist investigating U.S. military and intelligence abuses, was killed in a 2013 car crash that may have been the result of a hack. For more along these lines, explore summaries of news articles on the disappearance of privacy from reliable major media sources.
Peregrine ... is essentially a super-powered Google for police data. Enter a name or address into its web-based app, and Peregrine quickly scans court records, arrest reports, police interviews, body cam footage transcripts — any police dataset imaginable — for a match. It’s taken data siloed across an array of older, slower systems, and made it accessible in a simple, speedy app that can be operated from a web browser. To date, Peregrine has scored 57 contracts across a wide range of police and public safety agencies in the U.S., from Atlanta to L.A. Revenue tripled in 2023, from $3 million to $10 million. [That will] triple again to $30 million this year, bolstered by $60 million in funding from the likes of Friends & Family Capital and Founders Fund. Privacy advocates [are] concerned about indiscriminate surveillance. “We see a lot of police departments of a lot of different sizes getting access to Real Time Crime Centers now, and it's definitely facilitating a lot more general access to surveillance feeds for some of these smaller departments that would have previously found it cost prohibitive,” said Beryl Lipton ... at the Electronic Frontier Foundation (EFF). “These types of companies are inherently going to have a hard time protecting privacy, because everything that they're built on is basically privacy damaging.” Peregrine technology can also enable “predictive policing,” long criticized for unfairly targeting poorer, non-white neighborhoods.
Note: Learn more about Palantir's involvement in domestic surveillance and controversial military technologies. For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy 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.
Columbus landlords are now turning to artificial intelligence to evict tenants from their homes. [Attorney Jyoshu] Tsushima works for the Legal Aid Society of Southeast and Central Ohio and focuses on evictions. In June, nearly 2,000 evictions were filed within Franklin County Municipal Court. Tsushima said the county is on track to surpass 24,000 evictions for the year. In eviction court, he said both property management staffers and his clients describe software used that automatically evicts tenants. He said human employees don't determine who will be kicked out but they're the ones who place the eviction notices up on doors. Hope Matfield contacted ABC6 ... after she received an eviction notice on her door at Eden of Caleb's Crossing in Reynoldsburg in May. "They're profiting off people living in hell, basically," Matfield [said]. "I had no choice. I had to make that sacrifice, do a quick move and not know where my family was going to go right away." In February, Matfield started an escrow case against her property management group which is 5812 Investment Group. When Matfield missed a payment, the courts closed her case and gave the escrow funds to 5812 Investment Group. Matfield received her eviction notice that same day. The website for 5812 Investment Group indicates it uses software from RealPage. RealPage is subject to a series of lawsuits across the country due to algorithms multiple attorneys general claim cause price-fixing on rents.
Note: Read more about how tech companies are increasingly marketing smart tools to landlords for a troubling purpose: surveilling tenants to justify evictions or raise their rent. For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption 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.
"Agency intervention is necessary to stop the existential threat Google poses to original content creators," the News/Media Alliance—a major news industry trade group—wrote in a letter to the Department of Justice (DOJ) and the Federal Trade Commission (FTC). It asked the agencies to use antitrust authority "to stop Google's latest expansion of AI Overviews," a search engine innovation that Google has been rolling out recently. Overviews offer up short, AI-generated summaries paired with brief bits of text from linked websites. Overviews give "comprehensive answers without the user ever having to click to another page," the The New York Times warns. And this worries websites that rely on Google to drive much of their traffic. "It potentially chokes off the original creators of the content," Frank Pine, executive editor of MediaNews Group and Tribune Publishing (owner of 68 daily newspapers), told the Times. Media websites have gotten used to Google searches sending them a certain amount of traffic. But that doesn't mean Google is obligated to continue sending them that same amount of traffic forever. It is possible that Google's pivot to AI was hastened by how hostile news media has been to tech companies. We've seen publishers demanding that search engines and social platforms pay them for the privilege of sharing news links, even though this arrangement benefits publications (arguably more than it does tech companies) by driving traffic.
Note: For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence controversies 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.
Sara needed some chocolate - she had had one of those days - so wandered into a Home Bargains store. "Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." Sara ... was wrongly accused after being flagged by a facial-recognition system called Facewatch. She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology. Facewatch later wrote to Sara and acknowledged it had made an error. Facewatch is used in numerous stores in the UK. It's not just retailers who are turning to the technology. On the day we were filming, the Metropolitan Police said they made six arrests with the assistance of the tech. 192 arrests have been made so far this year as a result of it. But civil liberty groups are worried that its accuracy is yet to be fully established, and point to cases such as Shaun Thompson's. Mr Thompson, who works for youth-advocacy group Streetfathers, didn't think much of it when he walked by a white van near London Bridge. Within a few seconds, he was approached by police and told he was a wanted man. But it was a case of mistaken identity. "It felt intrusive ... I was treated guilty until proven innocent," he says. Silkie Carlo, director of Big Brother Watch, has filmed the police on numerous facial-recognition deployments. She says that anyone's face who is scanned is effectively part of a digital police line-up.
Note: For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence controversies 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.
As cities and states push to restrict the use of facial recognition technologies, some police departments have quietly found a way to keep using the controversial tools: asking for help from other law enforcement agencies that still have access. Officers in Austin and San Francisco — two of the largest cities where police are banned from using the technology — have repeatedly asked police in neighboring towns to run photos of criminal suspects through their facial recognition programs. In San Francisco, the workaround didn’t appear to help. Since the city’s ban took effect in 2019, the San Francisco Police Department has asked outside agencies to conduct at least five facial recognition searches, but no matches were returned. SFPD spokesman Evan Sernoffsky said these requests violated the city ordinance and were not authorized by the department, but the agency faced no consequences from the city. Austin police officers have received the results of at least 13 face searches from a neighboring police department since the city’s 2020 ban — and have appeared to get hits on some of them. Facial recognition ... technology has played a role in the wrongful arrests of at least seven innocent Americans, six of whom were Black, according to lawsuits each of these people filed after the charges against them were dismissed. In all, 21 cities or counties and Vermont have voted to prohibit the use of facial recognition tools by law enforcement.
Note: Crime is increasing in many cities, leading to law enforcement agencies appropriately working to maintain public safety. Yet far too often, social justice takes a backseat while those in authority violate human rights. For more along these lines, see concise summaries of deeply revealing news articles on police corruption and artificial intelligence from reliable major media sources.
Have you heard about the new Google? They “supercharged” it with artificial intelligence. Somehow, that also made it dumber. With the regular old Google, I can ask, “What’s Mark Zuckerberg’s net worth?” and a reasonable answer pops up: “169.8 billion USD.” Now let’s ask the same question with the “experimental” new version of Google search. Its AI responds: Zuckerberg’s net worth is “$46.24 per hour, or $96,169 per year. This is equivalent to $8,014 per month, $1,849 per week, and $230.6 million per day.” Google acting dumb matters because its AI is headed to your searches sooner or later. The company has already been testing this new Google — dubbed Search Generative Experience, or SGE — with volunteers for nearly 11 months, and recently started showing AI answers in the main Google results even for people who have not opted in to the test. To give us answers to everything, Google’s AI has to decide which sources are reliable. I’m not very confident about its judgment. Remember our bonkers result on Zuckerberg’s net worth? A professional researcher — and also regular old Google — might suggest checking the billionaires list from Forbes. Google’s AI answer relied on a very weird ZipRecruiter page for “Mark Zuckerberg Jobs,” a thing that does not exist. The new Google can do some useful things. But as you’ll see, it sometimes also makes up facts, misinterprets questions, [and] delivers out-of-date information. This test of Google’s future has been going on for nearly a year, and the choices being made now will influence how billions of people get information.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI technology from reliable major media sources.
A Silicon Valley defense tech startup is working on products that could have as great an impact on warfare as the atomic bomb, its founder Palmer Luckey said. "We want to build the capabilities that give us the ability to swiftly win any war we are forced to enter," he [said]. The Anduril founder didn't elaborate on what impact AI weaponry would have. But asked if it would be as decisive as the atomic bomb to the outcome of World War II he replied: "We have ideas for what they are. We are working on them." In 2022, Anduril won a contract worth almost $1 billion with the Special Operations Command to support its counter-unmanned systems. Anduril's products include autonomous sentry towers along the Mexican border [and] Altius-600M attack drones supplied to Ukraine. All of Anduril's tech operates autonomously and runs on its AI platform called Lattice that can easily be updated. The success of Anduril has given hope to other smaller players aiming to break into the defense sector. As an escalating number of global conflicts has increased demand for AI-driven weaponry, venture capitalists have put more than $100 billion into defense tech since 2021, according to Pitchbook data. The rising demand has sparked a fresh wave of startups lining up to compete with industry "primes" such as Lockheed Martin and RTX (formerly known as Raytheon) for a slice of the $842 billion US defense budget.
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 corruption in the military and in the corporate world from reliable major media sources.
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