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Sunday, October 6th, 2024
| Time | Event |
| 12:32a | License Plate Readers Are Creating a US-Wide Database of More Than Just Cars Wired reports on "AI-powered cameras mounted on cars and trucks, initially designed to capture license plates, but which are now photographing political lawn signs outside private homes, individuals wearing T-shirts with text, and vehicles displaying pro-abortion bumper stickers — all while recordi00ng the precise locations of these observations..." The detailed photographs all surfaced in search results produced by the systems of DRN Data, a license-plate-recognition (LPR) company owned by Motorola Solutions. The LPR system can be used by private investigators, repossession agents, and insurance companies; a related Motorola business, called Vigilant, gives cops access to the same LPR data. However, files shared with WIRED by artist Julia Weist, who is documenting restricted datasets as part of her work, show how those with access to the LPR system can search for common phrases or names, such as those of politicians, and be served with photographs where the search term is present, even if it is not displayed on license plates... Beyond highlighting the far-reaching nature of LPR technology, which has collected billions of images of license plates, the research also shows how people's personal political views and their homes can be recorded into vast databases that can be queried. "It really reveals the extent to which surveillance is happening on a mass scale in the quiet streets of America," says Jay Stanley, a senior policy analyst at the American Civil Liberties Union. "That surveillance is not limited just to license plates, but also to a lot of other potentially very revealing information about people." DRN, in a statement issued to WIRED, said it complies with "all applicable laws and regulations...." Over more than a decade, DRN has amassed more than 15 billion "vehicle sightings" across the United States, and it claims in its marketing materials that it amasses more than 250 million sightings per month. Images in DRN's commercial database are shared with police using its Vigilant system, but images captured by law enforcement are not shared back into the wider database. The system is partly fueled by DRN "affiliates" who install cameras in their vehicles, such as repossession trucks, and capture license plates as they drive around. Each vehicle can have up to four cameras attached to it, capturing images in all angles. These affiliates earn monthly bonuses and can also receive free cameras and search credits... "License plate recognition (LPR) technology supports public safety and community services, from helping to find abducted children and stolen vehicles to automating toll collection and lowering insurance premiums by mitigating insurance fraud," Jeremiah Wheeler, the president of DRN, says in a statement... Wheeler did not respond to WIRED's questions about whether there are limits on what can be searched in license plate databases, why images of homes with lawn signs but no vehicles in sight appeared in search results, or if filters are used to reduce such images. Privacy experts shared their reactions with Wired "Perhaps [people] want to express themselves in their communities, to their neighbors, but they don't necessarily want to be logged into a nationwide database that's accessible to police authorities." — Jay Stanley, a senior policy analyst at the American Civil Liberties Union "When government or private companies promote license plate readers, they make it sound like the technology is only looking for lawbreakers or people suspected of stealing a car or involved in an amber alert, but that's just not how the technology works. The technology collects everyone's data and stores that data often for immense periods of time." — Dave Maass, an EFF director of investigations "The way that the country is set up was to protect citizens from government overreach, but there's not a lot put in place to protect us from private actors who are engaged in business meant to make money." — Nicole McConlogue, associate law professor at Mitchell Hamline School of Law (who has researched license-plate-surveillance systems) Thanks to long-time Slashdot reader schwit1 for sharing the article. 
Read more of this story at Slashdot. |
| 2:32a | iOS and Android Security Scare: Two Apps Found Supporting 'Pig Butchering' Scheme "Pig Butchering Alert: Fraudulent Trading App targeted iOS and Android users." That's the title of a new report released this week by cybersecurity company Group-IB revealing the official Apple App Store and Google Play store offered apps that were actually one part of a larger fraud campaign. "To complete the scam, the victim is asked to fund their account... After a few seemingly successful trades, the victim is persuaded to invest more and more money. The account balance appears to grow rapidly. However, when the victim attempts to withdraw funds, they are unable to do so." Forbes reports: Group-IB determined that the frauds would begin with a period of social engineering reconnaissance and entrapment, during which the trust of the potential victim was gained through either a dating app, social media app or even a cold call. The attackers spent weeks on each target. Only when this "fattening up" process had reached a certain point would the fraudsters make their next move: recommending they download the trading app from the official App Store concerned. When it comes to the iOS app, which is the one that the report focussed on, Group-IB researchers said that the app remained on the App Store for several weeks before being removed, at which point the fraudsters switched to phishing websites to distribute both iOS and Android apps. The use of official app stores, albeit only fleetingly as Apple and Google removed the fake apps in due course, bestowed a sense of authenticity to the operation as people put trust in both the Apple and Google ecosystems to protect them from potentially dangerous apps. "The use of web-based applications further conceals the malicious activity," according to the researchers, "and makes detection more difficult." [A]fter the download is complete, the application cannot be launched immediately. The victim is then instructed by the cybercriminals to manually trust the Enterprise developer profile. Once this step is completed, the fraudulent application becomes operational... Once a user registers with the fraudulent application, they are tricked into completing several steps. First, they are asked to upload identification documents, such as an ID card or passport. Next, the user is asked to provide personal information, followed by job-related details... The first discovered application, distributed through the Apple App Store, functions as a downloader, merely retrieving and displaying a web-app URL. In contrast, the second application, downloaded from phishing websites, already contains the web-app within its assets. We believe this approach was deliberate, since the first app was available in the official store, and the cybercriminals likely sought to minimise the risk of detection. As previously noted, the app posed as a tool for mathematical formulas, and including personal trading accounts within an iOS app would have raised immediate suspicion. The app (which only runs on mobile phones) first launches a fake activity with formulas and graphics, according to the researchers. "We assume that this condition must bypass Apple's checks before being published to the store. As we can see, this simple trick allows cybercriminals to upload their fraudulent application to the Apple Store." They argue their research "reinforces the need for continued review of app store submissions to prevent such scams from reaching unsuspecting victims". But it also highlights "the importance of vigilance and end-user education, even when dealing with seemingly trustworthy apps..." "Our investigation began with an analysis of Android applications at the request of our client. The client reported that a user had been tricked into installing the application as part of a stock investment scam. During our research, we uncovered a list of similar fraudulent applications, one of which was available on the Google Play Store. These apps were designed to display stock-related news and articles, giving them a false sense of legitimacy."
Read more of this story at Slashdot. |
| 6:34a | China Trained a 1-Trillion-Parameter LLM Using Only Domestic Chips "China Telecom, one of the largest wireless carriers in mainland China, says that it has developed two large language models (LLMs) relying solely on domestically manufactured AI chips..." reports Tom's Hardware. "If the information is accurate, this is a crucial milestone in China's attempt at becoming independent of other countries for its semiconductor needs, especially as the U.S. is increasingly tightening and banning the supply of the latest, highest-end chips for Beijing in the U.S.-China chip war." Huawei, which has mostly been banned from the U.S. and other allied countries, is one of the leaders in China's local chip industry... If China Telecom's LLMs were indeed fully trained using Huawei chips alone, then this would be a massive success for Huawei and the Chinese government. The project's GitHub page "contains a hint about how China Telecom may have trained the model," reports the Register, "in a mention of compatibility with the 'Ascend Atlas 800T A2 training server' — a Huawei product listed as supporting the Kunpeng 920 7265 or Kunpeng 920 5250 processors, respectively running 64 cores at 3.0GHz and 48 cores at 2.6GHz. Huawei builds those processors using the Arm 8.2 architecture and bills them as produced with a 7nm process." The South China Morning Post says the unnamed model has 1 trillion parameters, according to China Telecom, while the TeleChat2t-115B model has over 100 billion parameters. Thanks to long-time Slashdot reader hackingbear for sharing the news.
Read more of this story at Slashdot. |
| 10:46a | Brazil's Top Court Says X Paid Pending Fines to Wrong Bank An anonymous reader shared this report from Reuters: Brazil's Supreme Court said on Friday that lawyers representing social media platform X did not pay pending fines to the proper bank, postponing its decision on whether to allow the tech firm to resume services in Brazil. The payment of the fines, which X lawyers argued that the company had paid correctly, is the only outstanding measure demanded by the court in order to authorize X to operate again in Brazil... Earlier on Friday, X, owned by billionaire Elon Musk, filed a fresh request to have its services restored in Brazil, saying it had paid all pending fines. In response to the request, Supreme Court Justice Alexandre de Moraes requested the payment to be transferred to the right bank. He also determined that once fines are sorted out, Brazil's prosecutor general will give his opinion on the recent requests made by X's legal team in Brazil, which has been seeking to have the platform restored in the country. Following Moraes' decision on Friday, X lawyers again asked the court for authorization to resume operations in Brazil, denying that the company had paid the fines to the wrong account and saying they do not see the need for the prosecutor general to be consulted before the ban is lifted.
Read more of this story at Slashdot. |
| 2:34p | Hobbyist Builds a Modern System That Still Runs MS-DOS He's the long-time Slashdot reader who installed Linux on a 1993 PC — and then installed a 1994 version of MS-DOS on a modern Thinkpad X13. (And somewhere along the way, he even built a ChatGPT client for DOS...) But in a new blog post, yeokm1 reveals "I recently built myself a PC," salvaging parts from a previous desktop system to bootstrap an upgrade. And "I decided to build one with the ability to still reach back into the past to run MS-DOS..." The result? A Ryzen 5 7600 and GeForce 4060 Ti system, but with a floppy drive, optical drive, Sound Blaster card, serial, parallel and PS/2 ports — that runs MS-DOS. The fact that a 30-year-old MS-DOS 6.22 can still work well enough on such a modern hardware is testament to the efforts made by the industry to ensure good x86 PC backward compatibility. AMD, Nvidia and Asus deserve to be commended on their efforts here. I'm also impressed that the modern Nvidia Geforce 4060 Ti still supports some legacy video BIOS modes to a usable level although this is not complete. I didn't document in this blog post but brief tests with other VESA modes and resolutions didn't work so well. I wonder how long more this amount of x86 PC backward-compatibility will continue to last though... It definitely feels like the end is near. Their blog post includes a video about their system. (And yes, it plays Doom.) But their ultimate goal is to use it to play modern games like Cyberpunk 2077 and Flight Simulator 2020 (as well as the upcoming Flight Simulator 2024) "at reasonably good settings and performance. (And also to experiment with light machine-learning workloads, do basic video editing, run virtual machines.) After successfully building their DOS-running system, they asked ChatGPT what it thought. Would the system's specs be powerful enough to handle the 30-year-old operation system? And ChatGPT confidently replied: "Neither the Ryzen 5 7600 nor the GeForce RTX 4060 Ti is designed to run DOS natively. DOS is an older operating system that was primarily used on x86 architecture from the late 20th century, and modern hardware like the Ryzen 5 7600 and GeForce RTX 4060 Ti are not compatible with DOS due to their 64-bit architecture and lack of necessary drivers to interface correctly with DOS, which relied on much older technology..." yeokm1's blog post concludes: "I think I just proved ChatGPT wrong :P"
Read more of this story at Slashdot. |
| 3:34p | Google Starts Adding Anti-Theft Locking Features to Android Phones An anonymous reader shared this report from Engadget: Three new theft protection features that Google announced earlier this year have reportedly started rolling out on Android. The tools — Theft Detection Lock, Offline Device Lock and Remote Lock — are aimed at giving users a way to quickly lock down their devices if they've been swiped, so thieves can't access any sensitive information. Android reporter Mishaal Rahman shared on social media that the first two tools had popped up on a Xiaomi 14T Pro, and said some Pixel users have started seeing Remote Lock. Theft Detection Lock is triggered by the literal act of snatching. The company said in May that the feature "uses Google AI to sense if someone snatches your phone from your hand and tries to run, bike or drive away." In such a scenario, it'll lock the phone's screen. The Android reporter summarized the other two locking features in a post on Reddit: Remote Lock "lets you remotely lock your phone using just your phone number in case you can't sign into Find My Device using your Google account password." Offline Device Lock "automatically locks your screen if a thief tries to keep your phone disconnected from the Internet for an extended period of time." "All three features entered beta in August, starting in Brazil. Google told me the final versions of these features would more widely roll out this year, and it seems the features have begun expanding."
Read more of this story at Slashdot. |
| 4:34p | New JWST Data Explores 'Hubble Constant' Tension for Universe's Expansion Rate "Scientists can't agree on the exact rate of expansion of the universe, dictated by the Hubble constant," a new article at Space.com reminds us: The rate can be measured starting from the local (and therefore recent) universe, then going farther back in time — or, it can be calculated starting from the distant (and therefore early) universe, then working your way up. The issue is both methods deliver values that don't agree with each other. This is where the James Web Space Telescope (JWST) comes in. Gravitationally lensed supernovas in the early cosmos the JWST is observing could provide a third way of measuring the rate, potentially helping resolve this "Hubble trouble." "The supernova was named 'supernova Hope' since it gives astronomers hope to better understand the universe's changing expansion rate," Brenda Frye, study team leader and a University of Arizona researcher, said in a NASA statement. This investigation of supernova Hope began when Frye and her global team of scientists found three curious points of light in a JWST image of a distant, densely packed cluster of galaxies. Those points of light in the image were not visible when the Hubble Space Telescope imaged the same cluster, known as PLCK G165.7+67.0 or, more simply, G165, back in 2015. "It all started with one question by the team: 'What are those three dots that weren't there before? Could that be a supernova?'" Frye said. The team noted a "high rate of star formation... more than 300 solar masses per year," according to NASA's statement: Dr. Frye: "Initial analyses confirmed that these dots corresponded to an exploding star, one with rare qualities. First, it's a Type Ia supernova, an explosion of a white dwarf star. This type of supernova is generally called a 'standard candle,' meaning that the supernova had a known intrinsic brightness. Second, it is gravitationally lensed. Gravitational lensing is important to this experiment. The lens, consisting of a cluster of galaxies that is situated between the supernova and us, bends the supernova's light into multiple images... To achieve three images, the light traveled along three different paths. Since each path had a different length, and light traveled at the same speed, the supernova was imaged in this Webb observation at three different times during its explosion... Trifold supernova images are special: The time delays, supernova distance, and gravitational lensing properties yield a value for the Hubble constant... The team reports the value for the Hubble constant as 75.4 kilometers per second per megaparsec, plus 8.1 or minus 5.5... This is only the second measurement of the Hubble constant by this method, and the first time using a standard candle. Their result? "The Hubble constant value matches other measurements in the local universe, and is somewhat in tension with values obtained when the universe was young."
Read more of this story at Slashdot. |
| 5:59p | UK Post Office Executive Suspended Over Allegations of Destroying Software Scandal Evidence The British Post Office scandal "was first exposed by Computer Weekly in 2009, revealing the stories of seven subpostmasters and the problems they suffered due to Horizon accounting software," remembers Computer Weekly, "which led to the most widespread miscarriage of justice in British history." But now the Post Office "is investigating allegations that a senior executive instructed staff to destroy or conceal documents that could be of interest to the Post Office scandal public inquiry," Computer Weekly writes. A company employee acknowleged a report in an internal whistleblower program "regarding destroying or concealing material... allegations that a senior Post Office member of staff had instructed their team to destroy or conceal material of possible interest to the inquiry, and that the same individual had engaged in inappropriate behaviour." The shocking revelation echoes evidence from appeals against wrongful convictions in 2021. During the Court of Appeal trials it was revealed that a senior Post Office executive instructed employees to shred documents that undermined an insistence that its Horizon computer system was robust, amid claims that errors in the system caused unexplained accounting shortfalls.
Read more of this story at Slashdot. |
| 7:46p | Pine64's Linux-Powered E-Ink Tablet is Making a Return "Pine64 has confirmed that its open-source e-ink tablet is returning," reports the blog OMG Ubuntu: The [10.1-inch e-ink display] PineNote was announced in 2021, building on the success of its non-SBC devices like the PinePhone (and later Pro model), the PineTab, and PineBook devices. Like most of Pine64's devices, software support is largely tackled by the community. But only a small batch of developer units were ever sold, primarily by enthusiasts within the open-source community who had the knowledge and desire to work on getting a modern Linux OS to run on the hardware, and adapt to the e-ink display. That process has taken a while, as Pine64's community bloggers explain: "The PineNote was stuck in a chicken-and-egg situation because of the very high cost of manufacturing the device (ePaper screens are sadly still expensive), and so the risk of manufacturing units that then didn't have a working Linux OS and would not sell was huge." However, the proverbial egg has finally hatched. The PineNote now has a reliable Debian-based OS, developed by Maximilian Weigand. This is described as "not only a bare-bones capable OS but a genuinely daily-usable system that 'just works'" according to the Pine64 blog. ["This is excellent as it also moves the target audience from developers to every day users. You should be able to power on the device and drop into a working Gnome experience."] It is said to use the GNOME desktop plus a handful of extensions designed to ensure the UI adapts to working well with an e-ink display. Software pre-installed includes Xournal++ for note taking, Firefox for web browsing, and Foliate for reading ebooks, among others. [And it even runs Doom...] Existing PineNote owners can download the the new OS image, flash it to their device, and help test it... Touch and stylus input are major selling points of the PineNote, positioning it as a libre alternative to leading e-ink note-taking devices like the Remarkable 2, Onyx BOOX, and Amazon Scribe. "I do not (yet) have a launch date target," according to the blog post, "as behind-the-scenes the Pine Store team are still working on all things production." But the update also links to some blog posts about their free and open source smartwatch PineTime...
Read more of this story at Slashdot. |
| 9:58p | Can Amazon Spread Its Cashierless 'Just Walk Out' Technology to Other Stores? Amazon launched "cashierless checkout" stores In 2018, reports CNBC — but by 2020 it was licensing the "Just Walk Out" technology to other stores in airports, hospitals, and stadiums. In April, Amazon announced it was removing cashierless checkout from its U.S. Fresh stores and Whole Foods locations... In place of Just Walk Out, which typically requires ceiling-mounted cameras, shelf sensors and gated entry points, Amazon Fresh stores and Whole Foods supermarkets will feature Dash Carts. The carts track and tally up items as shoppers place them in bags, enabling people to skip the checkout line. Amazon continues to use Just Walk Out in its grab-and-go marts and UK Fresh stores... While it's no longer featuring Just Walk Out as prominently in its own stores, Amazon says it has inked deals with a growing list of customers. More than 200 third-party stores have paid Amazon to install the cashierless system. The company expects to double the number of third-party Just Walk Out stores this year, Jon Jenkins, who previously served as vice president of Amazon's Just Walk Out technology, said in a recent interview... Amazon's "primary focus" is selling the technology to third-party businesses and deploying it in small to medium-sized store formats, where the system "tends to generate a little better [return on investment]," Jenkins said... At one Just Walk Out store, inside Seattle's Lumen Field, home to the NFL's Seahawks, the company said it boosted sales by 112% last season, with 85% more transactions during the course of a game. Two interesting points from the article: "Earlier this year, Amazon also began selling its connected grocery carts to third parties." "With Just Walk Out, Amazon faces the challenge of convincing retailers that they can trust one of their biggest competitors with handling valuable shopper data..."
Read more of this story at Slashdot. |
| 11:28p | US Police Seldom Disclose Use of AI-Powered Facial Recognition, Investigation Finds An anonymous reader shared this report from the Washington Post: Hundreds of Americans have been arrested after being connected to a crime by facial recognition software, a Washington Post investigation has found, but many never know it because police seldom disclose their use of the controversial technology... In fact, the records show that officers often obscured their reliance on the software in public-facing reports, saying that they identified suspects "through investigative means" or that a human source such as a witness or police officer made the initial identification... The Coral Springs Police Department in South Florida instructs officers not to reveal the use of facial recognition in written reports, according to operations deputy chief Ryan Gallagher. He said investigative techniques are exempt from Florida's public disclosure laws... The department would disclose the source of the investigative lead if it were asked in a criminal proceeding, Gallagher added.... Prosecutors are required to inform defendants about any information that would help prove their innocence, reduce their sentence or hurt the credibility of a witness testifying against them. When prosecutors fail to disclose such information — known as a "Brady violation" after the 1963 Supreme Court ruling that mandates it — the court can declare a mistrial, overturn a conviction or even sanction the prosecutor. No federal laws regulate facial recognition and courts do not agree whether AI identifications are subject to Brady rules. Some states and cities have begun mandating greater transparency around the technology, but even in these locations, the technology is either not being used that often or it's not being disclosed, according to interviews and public records requests... Over the past four years, the Miami Police Department ran 2,500 facial recognition searches in investigations that led to at least 186 arrests and more than 50 convictions. Among the arrestees, just 1 in 16 were told about the technology's use — less than 7 percent — according to a review by The Post of public reports and interviews with some arrestees and their lawyers. The police department said that in some of those cases the technology was used for purposes other than identification, such as finding a suspect's social media feeds, but did not indicate in how many of the cases that happened. Carlos J. Martinez, the county's chief public defender, said he had no idea how many of his Miami clients were identified with facial recognition until The Post presented him with a list. "One of the basic tenets of our justice system is due process, is knowing what evidence there is against you and being able to challenge the evidence that's against you," Martinez said. "When that's kept from you, that is an all-powerful government that can trample all over us." After reviewing The Post's findings, Miami police and local prosecutors announced plans to revise their policies to require clearer disclosure in every case involving facial recognition. The article points out that Miami's Assistant Police Chief actually told a congressional panel on law enforcement AI use that his department is "the first to be completely transparent about" the use of facial recognition. (When confronted with the Washington Post's findings, he "acknowledged that officers may not have always informed local prosecutors [and] said the department would give prosecutors all information on the use of facial recognition, in past and future cases". He told the Post that the department would "begin training officers to always disclose the use of facial recognition in incident reports." But he also said they would "leave it up to prosecutors to decide what to disclose to defendants."
Read more of this story at Slashdot. |
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