Archives 23 March 2024

The average toddler is missing out on hearing more than 1,000 words spoken by an adult each day due to screen time, setting back their language skills, a first-of-its kind study has found. The research, published on Tuesday in the Journal of the American Medical Association (Jama) Pediatrics, tracked 220 Australian families over two years to measure the relationship between family screen use and children’s language environment. Families recorded all the audio around their child using advanced speech recognition technology over a 16-hour period on an average day at home. They repeated this process every six months between the ages of 12 and 36 months. The lead researcher, Dr Mary Brushe from the Telethon Kids Institute, said: “The technology we use is essentially like a Fitbit, but instead of counting the number of steps, this device counts the number of words spoken by, to and around the child.” The device also picked up electronic noise, which the researchers analyzed to calculate screen time.

The researchers found young children’s exposure to screens including TVs and phones was interfering with their language opportunities, with the association most pronounced at three years of age. For every extra minute of screen time, the three-year-olds in the study were hearing seven fewer words, speaking five fewer words themselves and engaging in one less conversation. The study found the average three-year-old in the study was exposed to two hours and 52 minutes of screen time a day. Researchers estimated this led to those children being exposed to 1,139 fewer adult words, 843 fewer child words and 194 fewer conversations. Because the study couldn’t capture parents’ silent phone use, including reading emails, texting or quietly scrolling through websites or social media, Brushe said they might have underestimated how much screen usage is affecting children.

A language-rich home environment was critical in supporting infants and toddlers’ language development, Brushe said. While some educational children’s shows were designed to help children’s language skills, very young kids in the age group of the study could struggle to translate television shows into their own life, she said. This study did not differentiate between whether children were watching high- or low-quality screen content.

The Post did a little digging into court records and found evidence of at least 130 search warrants filed by the feds for push notification data in cases spanning 14 states. In those cases, FBI officials asked tech companies like Google, Apple, and Facebook to fork over data related to a suspect’s mobile notifications, then used the data to implicate the suspect in criminal behavior linked to a particular app, even though many of those apps were supposedly anonymous communication platforms, like Wickr.

How exactly is this possible? Push notifications, which are provided by a mobile operating system provider, include embedded metadata that can be examined to understand the use of the mobile apps on a particular phone. Apps come laced with a quiet identifier, a “push token,” which is stored on the corporate servers of a company like Apple or another phone manufacturer after a user signs up to use a particular app. Those tokens can later be used to identify the person using the app, based on the information associated with the device on which the app was downloaded. Even turning off push notifications on your device doesn’t necessarily disable this feature, experts contend. […]

If finding new ways to catch pedophiles and terrorists doesn’t seem like the worst thing in the world, the Post article highlights the voices of critics who fear that this kind of mobile data could be used to track people who have not committed serious crimes — like political activists or women seeking abortions in states where the procedure has been restricted.

In 2019, a government contractor and technologist named Mike Yeagley began making the rounds in Washington, DC. He had a blunt warning for anyone in the country’s national security establishment who would listen: The US government had a Grindr problem. A popular dating and hookup app, Grindr relied on the GPS capabilities of modern smartphones to connect potential partners in the same city, neighborhood, or even building. The app can show how far away a potential partner is in real time, down to the foot. But to Yeagley, Grindr was something else: one of the tens of thousands of carelessly designed mobile phone apps that leaked massive amounts of data into the opaque world of online advertisers. That data, Yeagley knew, was easily accessible by anyone with a little technical know-how. So Yeagley — a technology consultant then in his late forties who had worked in and around government projects nearly his entire career — made a PowerPoint presentation and went out to demonstrate precisely how that data was a serious national security risk.

As he would explain in a succession of bland government conference rooms, Yeagley was able to access the geolocation data on Grindr users through a hidden but ubiquitous entry point: the digital advertising exchanges that serve up the little digital banner ads along the top of Grindr and nearly every other ad-supported mobile app and website. This was possible because of the way online ad space is sold, through near-instantaneous auctions in a process called real-time bidding. Those auctions were rife with surveillance potential. You know that ad that seems to follow you around the internet? It’s tracking you in more ways than one. In some cases, it’s making your precise location available in near-real time to both advertisers and people like Mike Yeagley, who specialized in obtaining unique data sets for government agencies.

Working with Grindr data, Yeagley began drawing geofences — creating virtual boundaries in geographical data sets — around buildings belonging to government agencies that do national security work. That allowed Yeagley to see what phones were in certain buildings at certain times, and where they went afterwards. He was looking for phones belonging to Grindr users who spent their daytime hours at government office buildings. If the device spent most workdays at the Pentagon, the FBI headquarters, or the National Geospatial-Intelligence Agency building at Fort Belvoir, for example, there was a good chance its owner worked for one of those agencies. Then he started looking at the movement of those phones through the Grindr data. When they weren’t at their offices, where did they go? A small number of them had lingered at highway rest stops in the DC area at the same time and in proximity to other Grindr users — sometimes during the workday and sometimes while in transit between government facilities. For other Grindr users, he could infer where they lived, see where they traveled, even guess at whom they were dating.

Intelligence agencies have a long and unfortunate history of trying to root out LGBTQ Americans from their workforce, but this wasn’t Yeagley’s intent. He didn’t want anyone to get in trouble. No disciplinary actions were taken against any employee of the federal government based on Yeagley’s presentation. His aim was to show that buried in the seemingly innocuous technical data that comes off every cell phone in the world is a rich story — one that people might prefer to keep quiet. Or at the very least, not broadcast to the whole world. And that each of these intelligence and national security agencies had employees who were recklessly, if obliviously, broadcasting intimate details of their lives to anyone who knew where to look. As Yeagley showed, all that information was available for sale, for cheap. And it wasn’t just Grindr, but rather any app that had access to a user’s precise location — other dating apps, weather apps, games. Yeagley chose Grindr because it happened to generate a particularly rich set of data and its user base might be uniquely vulnerable.
The report goes into great detail about how intelligence and data analysis techniques, notably through a program called Locomotive developed by PlanetRisk, enabled the tracking of mobile devices associated with Russian President Vladimir Putin’s entourage. By analyzing commercial adtech data, including precise geolocation information collected from mobile advertising bid requests, analysts were able to monitor the movements of phones that frequently accompanied Putin, indicating the locations and movements of his security personnel, aides, and support staff.

This capability underscored the surveillance potential of commercially available data, providing insights into the activities and security arrangements of high-profile individuals without directly compromising their personal devices.

Microsoft built two datacenters west of Phoenix, with plans for seven more (serving, among other companies, OpenAI). “Microsoft has been adding data centers at a stupendous rate, spending more than $10 billion on cloud-computing capacity in every quarter of late,” writes the Atlantic. “One semiconductor analyst called this “the largest infrastructure buildout that humanity has ever seen.”

But is this part of a concerning trend?
Microsoft plans to absorb its excess heat with a steady flow of air and, as needed, evaporated drinking water. Use of the latter is projected to reach more than 50 million gallons every year. That might be a burden in the best of times. As of 2023, it seemed absurd. Phoenix had just endured its hottest summer ever, with 55 days of temperatures above 110 degrees. The weather strained electrical grids and compounded the effects of the worst drought the region has faced in more than a millennium. The Colorado River, which provides drinking water and hydropower throughout the region, has been dwindling. Farmers have already had to fallow fields, and a community on the eastern outskirts of Phoenix went without tap water for most of the year… [T]here were dozens of other facilities I could visit in the area, including those run by Apple, Amazon, Meta, and, soon, Google. Not too far from California, and with plenty of cheap land, Greater Phoenix is among the fastest-growing hubs in the U.S. for data centers….

Microsoft, the biggest tech firm on the planet, has made ambitious plans to tackle climate change. In 2020, it pledged to be carbon-negative (removing more carbon than it emits each year) and water-positive (replenishing more clean water than it consumes) by the end of the decade. But the company also made an all-encompassing commitment to OpenAI, the most important maker of large-scale AI models. In so doing, it helped kick off a global race to build and deploy one of the world’s most resource-intensive digital technologies. Microsoft operates more than 300 data centers around the world, and in 2021 declared itself “on pace to build between 50 and 100 new datacenters each year for the foreseeable future….”

Researchers at UC Riverside estimated last year… that global AI demand could cause data centers to suck up 1.1 trillion to 1.7 trillion gallons of freshwater by 2027. A separate study from a university in the Netherlands, this one peer-reviewed, found that AI servers’ electricity demand could grow, over the same period, to be on the order of 100 terawatt hours per year, about as much as the entire annual consumption of Argentina or Sweden… [T]ensions over data centers’ water use are cropping up not just in Arizona but also in Oregon, Uruguay, and England, among other places in the world.

The article points out that Microsoft “is transitioning some data centers, including those in Arizona, to designs that use less or no water, cooling themselves instead with giant fans.” And an analysis (commissioned by Microsoft) on the impact of one building said it would use about 56 million gallons of drinking water each year, equivalent to the amount used by 670 families, according to the article. “In other words, a campus of servers pumping out ChatGPT replies from the Arizona desert is not about to make anyone go thirsty.”

Globally, trust in AI companies has dropped to 53%, down from 61% five years ago. In the U.S., trust has dropped 15 percentage points (from 50% to 35%) over the same period. Trust in AI is low across political lines. Democrats trust in AI companies is 38%, independents are at 25% and Republicans at 24%. Tech is losing its lead as the most trusted sector. Eight years ago, technology was the leading industry in trust in 90% of the countries Edelman studies. Today, it is the most trusted in only half of countries.

People in developing countries are more likely to embrace AI than those in developed ones. Respondents in France, Canada, Ireland, UK, U.S., Germany, Australia, the Netherlands and Sweden reject the growing use of AI by a three-to-one margin, Edelman said. By contrast, acceptance outpaces resistance by a wide margin in developing markets such as Saudi Arabia, India, China, Kenya, Nigeria and Thailand.

According to a new study from the Institute for the Future of Work, contemporary technology often has a negative impact on workers’ quality of life. The think tank surveyed over 6,000 people to learn how four categories of workplace technologies affected their wellbeing. TechSpot reports the findings:

The study found that increased exposure to three of the categories tended to worsen workers’ mental state and health. The three areas that negatively impact people most are wearable and remote sensing technologies, which covers CCTV cameras and wearable trackers; robotics, consisting of automated machines, self-driving vehicles, and other equipment; and, unsurprisingly, technologies relating to AI and ML, which includes everything from decision management to biometrics. Only one of the categories was found to be beneficial to employees, and it’s one that has been around for decades: ICT tech such as laptops, tablets, phones, and real-time messaging tools.

The West Africa Cable System, MainOne and ACE sea cables — arteries for telecommunications data — were all affected on Thursday, triggering outages and connectivity issues for mobile operators and internet service providers, according to data from internet analysis firms including NetBlocks, Kentik and Cloudflare. The cause of the cable faults has not yet been determined.

Data show a major disruption to connectivity in eight West African countries, with Ivory Coast, Liberia and Benin being the most affected, NetBlocks, an internet watchdog, said in a post on X. Ghana, Nigeria, and Cameroon are among other countries impacted. Several companies have also reported service disruptions in South Africa. “This is a devastating blow to internet connectivity along the west coast of Africa, which will be operating in a degraded state for weeks to come,” said Doug Madory, director of internet analysis firm Kentik. The cable faults off the Ivory Coast come less than a month after three telecommunications cables were severed in the Red Sea, highlighting the vulnerability of critical communications infrastructure.

Amazon is telling workers to close their eyes and dream of being somewhere else while they’re standing in a warehouse.

A worker in one of Amazon’s fulfillment centers, who we’ve granted anonymity, sent 404 Media a photo they took of a screen imploring them to try “savoring” the idea of something that makes them happy — as in, not being at work, surrounded by robots and packages. “Savoring,” the screen says, in a black font over a green block of color. “Close your eyes and think about something that makes you happy.” Under that text — which I can’t emphasize enough: it looks like something a 6th grader would make in Powerpoint — there’s a bunch of white space, and a stock illustration of a faceless person in an Amazon vest. He’s being urged on by an anthropomorphic stack of Amazon packages with wheels and arms. There’s also a countdown timer that says “repeat until timer ends.” In the image we saw, it said 10 seconds.

Donald Trump authorized the Central Intelligence Agency to launch a clandestine campaign on Chinese social media aimed at turning public opinion in China against its government, according to former U.S. officials with direct knowledge of the highly classified operation.

Three former officials told Reuters that the CIA created a small team of operatives who used bogus internet identities to spread negative narratives about Xi Jinping’s government while leaking disparaging intelligence to overseas news outlets. The effort, which began in 2019, has not been previously reported.

Although the U.S. officials declined to provide specific details of these operations, they said the disparaging narratives were based in fact despite being secretly released by intelligence operatives under false cover. The efforts within China were intended to foment paranoia among top leaders there, forcing its government to expend resources chasing intrusions into Beijing’s tightly controlled internet, two former officials said. “We wanted them chasing ghosts,” one of these former officials said.

Reuters was unable to determine the impact of the secret operations or whether the administration of President Joe Biden has maintained the CIA program.

Covert messaging allows the United States to implant ideas in countries where censorship might prevent that information from coming to light, or in areas where audiences wouldn’t give much credence to U.S. government statements, said Loch Johnson, a University of Georgia political scientist who studies the use of such tactics.

Covert propaganda campaigns were common during the Cold War, when the CIA planted 80 to 90 articles a day in an effort to undermine the Soviet Union, Johnson said. In the 1950s, for example, the CIA created an astrological magazine in East Germany to publish foreboding predictions about communist leaders, according to declassified records.

The covert propaganda campaign against Beijing could backfire, said Heer, the former CIA analyst. China could use evidence of a CIA influence program to bolster its decades-old accusations of shadowy Western subversion, helping Beijing “proselytize” in a developing world already deeply suspicious of Washington.

When OpenAI CEO Sam Altman announced GPTs, custom chatbots powered by OpenAI’s generative AI models, onstage at the company’s first-ever developer conference in November, he described them as a way to “accomplish all sorts of tasks” — from programming to learning about esoteric scientific subjects to getting workout pointers. “Because [GPTs] combine instructions, expanded knowledge and actions, they can be more helpful to you,” Altman said. “You can build a GPT … for almost anything.” He wasn’t kidding about the anything part.

TechCrunch found that the GPT Store, OpenAI’s official marketplace for GPTs, is flooded with bizarre, potentially copyright-infringing GPTs that imply a light touch where it concerns OpenAI’s moderation efforts. A cursory search pulls up GPTs that purport to generate art in the style of Disney and Marvel properties, serve as little more than funnels to third-party paid services, advertise themselves as being able to bypass AI content detection tools such as Turnitin and Copyleaks.